======================================================= RESTART [11-22 15:41:33] =======================================================
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-22 15:41:35] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-22 15:41:35] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
branch : main
}
[11-22 15:41:35] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f5d4ca1b370>
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f5d4ca1b370>
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-22 15:41:37] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt*.pth
[11-22 15:41:37] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-22 15:41:37] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-22 15:41:35] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-22 15:41:35] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
commit_msg : add
branch : main
}
[11-22 15:41:35] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fc060a6b2e0>
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fc060a6b2e0>
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-22 15:41:37] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt*.pth
[11-22 15:41:37] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-22 15:41:37] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-22 15:41:35] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-22 15:41:35] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
branch : main
commit_msg : add
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
}
[11-22 15:41:35] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f30a0137370>
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f30a0137370>
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-22 15:41:37] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt*.pth
[11-22 15:41:37] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-22 15:41:37] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-22 15:41:33] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-22 15:41:35] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-22 15:41:35] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
branch : main
}
[11-22 15:41:35] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fe6a8f73370>
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fe6a8f73370>
[11-22 15:41:37] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-22 15:41:37] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt*.pth
[11-22 15:41:37] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-22 15:41:37] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ... [dataloader multi processing](*) finished! (46.14s)
[dataloader multi processing](*) finished! (47.89s)
[dataloader multi processing](*) finished! (47.99s)
[dataloader multi processing](*) finished! (49.09s)
[11-22 15:42:24] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-22 15:42:26] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-22 15:42:30] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-22 15:42:30] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-22 15:42:31] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-22 15:42:30] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-22 15:42:30] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-22 15:42:31] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-22 15:42:25] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-22 15:42:31] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-22 15:42:31] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-22 15:42:32] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-22 15:42:25] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-22 15:42:31] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-22 15:42:31] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-22 15:42:32] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-22 15:42:32] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-22 15:42:55] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-22 15:42:55] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-22 15:42:55] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-22 15:42:55] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-22 15:42:55] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank0] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-22 15:42:33] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-22 15:42:55] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-22 15:42:55] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-22 15:42:55] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-22 15:42:55] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-22 15:42:56] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank8] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-22 15:42:33] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-22 15:42:55] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-22 15:42:55] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-22 15:42:55] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-22 15:42:55] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-22 15:42:56] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank16] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-22 15:42:32] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-22 15:42:55] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-22 15:42:55] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-22 15:42:55] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-22 15:42:55] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-22 15:42:56] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank24] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-22 15:42:56] (/VAR/utils/lr_control.py, line 105)=>
[11-22 15:42:56] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-22 15:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 16 days, 9:47:09 tlr: 1.2e-06 tnm: 0.24 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: -0.0007 (-0.0007) time: 849.3886 data: 0.0005
[11-22 15:42:56] (/VAR/utils/lr_control.py, line 105)=>
[11-22 15:42:56] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-22 15:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 16 days, 9:47:43 tlr: 1.2e-06 tnm: 0.24 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: -0.0002 (-0.0002) time: 849.4088 data: 0.0005
[11-22 15:42:56] (/VAR/utils/lr_control.py, line 105)=>
[11-22 15:42:56] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-22 15:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 16 days, 9:48:06 tlr: 1.2e-06 tnm: 0.24 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.01 (0.01) Acct: 0.00 (0.00) proj_loss: -0.0005 (-0.0005) time: 849.4225 data: 0.0005
[11-22 15:42:56] (/VAR/utils/lr_control.py, line 105)=>
[11-22 15:42:56] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-22 15:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 16 days, 9:24:05 tlr: 1.2e-06 tnm: 0.24 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0012 (0.0012) time: 848.5595 data: 0.0005
[11-22 16:04:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 1:05:06 tlr: 9.7e-06 tnm: 0.06 Lm: 9.701 (9.701) Lt: 9.700 (9.700) Accm: 0.01 (0.01) Acct: 0.01 (0.01) proj_loss: -0.1295 (-0.1295) time: 0.4882 data: 0.0003
[11-22 16:04:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 1:05:08 tlr: 9.7e-06 tnm: 0.06 Lm: 9.701 (9.701) Lt: 9.701 (9.701) Accm: 0.01 (0.01) Acct: 0.01 (0.01) proj_loss: -0.1374 (-0.1374) time: 0.4882 data: 0.0003
[11-22 16:04:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 1:05:08 tlr: 9.7e-06 tnm: 0.06 Lm: 9.700 (9.700) Lt: 9.700 (9.700) Accm: 0.01 (0.01) Acct: 0.00 (0.00) proj_loss: -0.1338 (-0.1338) time: 0.4882 data: 0.0003
[11-22 16:04:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 1:05:08 tlr: 9.7e-06 tnm: 0.06 Lm: 9.701 (9.701) Lt: 9.700 (9.700) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: -0.1321 (-0.1321) time: 0.4882 data: 0.0003
[11-22 16:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:25:07 tlr: 1.8e-05 tnm: 0.12 Lm: 9.698 (9.686) Lt: 9.696 (9.685) Accm: 0.00 (0.01) Acct: 0.00 (0.01) proj_loss: -0.2640 (-0.1943) time: 0.4852 data: 0.0003
[11-22 16:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:25:07 tlr: 1.8e-05 tnm: 0.12 Lm: 9.697 (9.688) Lt: 9.697 (9.689) Accm: 0.00 (0.00) Acct: 0.00 (0.01) proj_loss: -0.2742 (-0.2019) time: 0.4852 data: 0.0003
[11-22 16:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:25:07 tlr: 1.8e-05 tnm: 0.12 Lm: 9.697 (9.687) Lt: 9.696 (9.687) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: -0.2672 (-0.1943) time: 0.4852 data: 0.0003
[11-22 16:08:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:25:06 tlr: 1.8e-05 tnm: 0.12 Lm: 9.697 (9.688) Lt: 9.696 (9.687) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: -0.2603 (-0.1929) time: 0.4852 data: 0.0003
[11-22 16:11:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:09:30 tlr: 2.7e-05 tnm: 0.50 Lm: 9.679 (9.664) Lt: 9.679 (9.669) Accm: 0.02 (0.02) Acct: 0.01 (0.01) proj_loss: -0.2900 (-0.2257) time: 0.4842 data: 0.0003
[11-22 16:11:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:09:30 tlr: 2.7e-05 tnm: 0.50 Lm: 9.678 (9.665) Lt: 9.678 (9.669) Accm: 0.01 (0.01) Acct: 0.00 (0.00) proj_loss: -0.2913 (-0.2247) time: 0.4842 data: 0.0003
[11-22 16:11:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:09:30 tlr: 2.7e-05 tnm: 0.50 Lm: 9.677 (9.661) Lt: 9.675 (9.667) Accm: 0.01 (0.01) Acct: 0.01 (0.01) proj_loss: -0.2896 (-0.2245) time: 0.4842 data: 0.0003
[11-22 16:11:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:09:30 tlr: 2.7e-05 tnm: 0.50 Lm: 9.680 (9.665) Lt: 9.681 (9.669) Accm: 0.01 (0.01) Acct: 0.01 (0.01) proj_loss: -0.2934 (-0.2296) time: 0.4842 data: 0.0002
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:01 tlr: 3.5e-05 tnm: 0.75 Lm: 9.662 (9.636) Lt: 9.664 (9.646) Accm: 0.01 (0.02) Acct: 0.02 (0.02) proj_loss: -0.3127 (-0.2486) time: 0.4913 data: 0.0015
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:31:52 (1.146 s / it)
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:01 tlr: 3.5e-05 tnm: 0.75 Lm: 9.656 (9.635) Lt: 9.655 (9.647) Accm: 0.01 (0.01) Acct: 0.02 (0.01) proj_loss: -0.3151 (-0.2464) time: 0.4913 data: 0.0018
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:01 tlr: 3.5e-05 tnm: 0.75 Lm: 9.662 (9.634) Lt: 9.661 (9.646) Accm: 0.03 (0.03) Acct: 0.02 (0.02) proj_loss: -0.3197 (-0.2465) time: 0.4912 data: 0.0018
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:01 tlr: 3.5e-05 tnm: 0.75 Lm: 9.660 (9.636) Lt: 9.660 (9.646) Accm: 0.01 (0.02) Acct: 0.00 (0.01) proj_loss: -0.3153 (-0.2463) time: 0.4913 data: 0.0019
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:31:52 (1.146 s / it)
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:31:52 (1.146 s / it)
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:31:52 (1.146 s / it)
[11-22 16:14:49] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.635 (9.635), Lt: 9.647 (9.647), Acc m&t: 0.02 0.02, Remain: 3 days, 8:01:00, Finish: 2024-11-25 08:15
[11-22 16:14:49] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.635 (9.635), Lt: 9.647 (9.647), Acc m&t: 0.02 0.02, Remain: 3 days, 8:01:13, Finish: 2024-11-25 08:16
[11-22 16:14:49] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.635 (9.635), Lt: 9.647 (9.647), Acc m&t: 0.02 0.02, Remain: 3 days, 8:01:02, Finish: 2024-11-25 08:15
[11-22 16:14:49] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.635 (9.635), Lt: 9.647 (9.647), Acc m&t: 0.02 0.02, Remain: 3 days, 8:00:43, Finish: 2024-11-25 08:15
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:12:39 tlr: 3.5e-05 tnm: 0.92 Lm: 9.524 (9.524) Lt: 9.557 (9.557) Accm: 0.02 (0.02) Acct: 0.03 (0.03) proj_loss: -0.3289 (-0.3289) time: 0.4553 data: 0.0003
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:12:30 tlr: 3.5e-05 tnm: 0.92 Lm: 9.522 (9.522) Lt: 9.557 (9.557) Accm: 0.06 (0.06) Acct: 0.07 (0.07) proj_loss: -0.3240 (-0.3240) time: 0.4497 data: 0.0003
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:12:40 tlr: 3.5e-05 tnm: 0.92 Lm: 9.524 (9.524) Lt: 9.566 (9.566) Accm: 0.03 (0.03) Acct: 0.05 (0.05) proj_loss: -0.3350 (-0.3350) time: 0.4560 data: 0.0003
[11-22 16:14:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:12:33 tlr: 3.5e-05 tnm: 0.92 Lm: 9.524 (9.524) Lt: 9.561 (9.561) Accm: 0.04 (0.04) Acct: 0.03 (0.03) proj_loss: -0.3212 (-0.3212) time: 0.4515 data: 0.0003
[11-22 16:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:10:11 tlr: 4.4e-05 tnm: 1.77 Lm: 9.433 (9.433) Lt: 9.477 (9.477) Accm: 0.08 (0.08) Acct: 0.07 (0.07) proj_loss: -0.3265 (-0.3265) time: 0.4820 data: 0.0003
[11-22 16:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:10:11 tlr: 4.4e-05 tnm: 1.77 Lm: 9.430 (9.430) Lt: 9.484 (9.484) Accm: 0.08 (0.08) Acct: 0.07 (0.07) proj_loss: -0.3284 (-0.3284) time: 0.4820 data: 0.0003
[11-22 16:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:10:11 tlr: 4.4e-05 tnm: 1.77 Lm: 9.427 (9.427) Lt: 9.487 (9.487) Accm: 0.07 (0.07) Acct: 0.08 (0.08) proj_loss: -0.3301 (-0.3301) time: 0.4820 data: 0.0003
[11-22 16:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:10:11 tlr: 4.4e-05 tnm: 1.77 Lm: 9.428 (9.428) Lt: 9.478 (9.478) Accm: 0.05 (0.05) Acct: 0.03 (0.03) proj_loss: -0.3273 (-0.3273) time: 0.4820 data: 0.0003
[11-22 16:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:06:52 tlr: 5.2e-05 tnm: 2.68 Lm: 9.332 (9.245) Lt: 9.399 (9.279) Accm: 0.07 (0.09) Acct: 0.03 (0.10) proj_loss: -0.3258 (-0.3245) time: 0.4856 data: 0.0003
[11-22 16:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:06:52 tlr: 5.2e-05 tnm: 2.68 Lm: 9.343 (9.259) Lt: 9.393 (9.291) Accm: 0.12 (0.12) Acct: 0.10 (0.10) proj_loss: -0.3278 (-0.3269) time: 0.4856 data: 0.0003
[11-22 16:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:06:52 tlr: 5.2e-05 tnm: 2.68 Lm: 9.338 (9.236) Lt: 9.411 (9.266) Accm: 0.10 (0.12) Acct: 0.07 (0.13) proj_loss: -0.3328 (-0.3308) time: 0.4856 data: 0.0003
[11-22 16:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:06:52 tlr: 5.2e-05 tnm: 2.68 Lm: 9.329 (9.242) Lt: 9.409 (9.282) Accm: 0.12 (0.16) Acct: 0.10 (0.15) proj_loss: -0.3302 (-0.3301) time: 0.4857 data: 0.0003
[11-22 16:25:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:03:25 tlr: 6.1e-05 tnm: 2.01 Lm: 9.100 (9.020) Lt: 9.141 (8.991) Accm: 0.22 (0.26) Acct: 0.20 (0.30) proj_loss: -0.3326 (-0.3316) time: 0.4819 data: 0.0003
[11-22 16:25:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:03:25 tlr: 6.1e-05 tnm: 2.01 Lm: 9.094 (9.021) Lt: 9.120 (8.974) Accm: 0.15 (0.20) Acct: 0.16 (0.26) proj_loss: -0.3287 (-0.3293) time: 0.4820 data: 0.0002
[11-22 16:25:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:03:25 tlr: 6.1e-05 tnm: 2.01 Lm: 9.127 (9.044) Lt: 9.155 (9.007) Accm: 0.16 (0.20) Acct: 0.14 (0.23) proj_loss: -0.3298 (-0.3289) time: 0.4819 data: 0.0002
[11-22 16:25:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:03:25 tlr: 6.1e-05 tnm: 2.01 Lm: 9.106 (9.030) Lt: 9.140 (8.999) Accm: 0.13 (0.19) Acct: 0.13 (0.23) proj_loss: -0.3267 (-0.3253) time: 0.4819 data: 0.0003
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 1.80 Lm: 8.880 (8.876) Lt: 8.882 (8.807) Accm: 0.19 (0.24) Acct: 0.22 (0.30) proj_loss: -0.3277 (-0.3270) time: 0.4885 data: 0.0015
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 1.80 Lm: 8.872 (8.872) Lt: 8.872 (8.801) Accm: 0.33 (0.28) Acct: 0.29 (0.32) proj_loss: -0.3348 (-0.3322) time: 0.4885 data: 0.0016
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 1.80 Lm: 8.849 (8.868) Lt: 8.829 (8.775) Accm: 0.20 (0.28) Acct: 0.26 (0.39) proj_loss: -0.3263 (-0.3287) time: 0.4885 data: 0.0016
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 1.80 Lm: 8.911 (8.890) Lt: 8.918 (8.815) Accm: 0.20 (0.27) Acct: 0.17 (0.31) proj_loss: -0.3318 (-0.3313) time: 0.4885 data: 0.0021
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:13:36 (0.489 s / it)
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:13:36 (0.489 s / it)
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:13:36 (0.489 s / it)
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:13:36 (0.489 s / it)
[11-22 16:28:26] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 8.871 (8.871), Lt: 8.792 (8.792), Acc m&t: 0.28 0.35, Remain: 3 days, 7:19:45, Finish: 2024-11-25 07:48
[11-22 16:28:26] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 8.871 (8.871), Lt: 8.792 (8.792), Acc m&t: 0.28 0.35, Remain: 3 days, 7:18:27, Finish: 2024-11-25 07:46
[11-22 16:28:26] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 8.871 (8.871), Lt: 8.792 (8.792), Acc m&t: 0.28 0.35, Remain: 3 days, 7:21:12, Finish: 2024-11-25 07:49
[11-22 16:28:26] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 8.871 (8.871), Lt: 8.792 (8.792), Acc m&t: 0.28 0.35, Remain: 3 days, 7:19:41, Finish: 2024-11-25 07:48
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:13:11 tlr: 6.9e-05 tnm: 1.71 Lm: 8.276 (8.276) Lt: 7.997 (7.997) Accm: 0.58 (0.58) Acct: 0.81 (0.81) proj_loss: -0.3130 (-0.3130) time: 0.4742 data: 0.0005
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:13:14 tlr: 6.9e-05 tnm: 1.71 Lm: 8.283 (8.283) Lt: 8.014 (8.014) Accm: 0.50 (0.50) Acct: 0.65 (0.65) proj_loss: -0.3213 (-0.3213) time: 0.4758 data: 0.0004
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:13:13 tlr: 6.9e-05 tnm: 1.71 Lm: 8.268 (8.268) Lt: 7.998 (7.998) Accm: 0.45 (0.45) Acct: 0.71 (0.71) proj_loss: -0.3262 (-0.3262) time: 0.4754 data: 0.0004
[11-22 16:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:13:13 tlr: 6.9e-05 tnm: 1.71 Lm: 8.259 (8.259) Lt: 7.995 (7.995) Accm: 0.68 (0.68) Acct: 1.07 (1.07) proj_loss: -0.3306 (-0.3306) time: 0.4752 data: 0.0003
[11-22 16:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:10:11 tlr: 7.8e-05 tnm: 1.52 Lm: 8.233 (8.233) Lt: 7.966 (7.966) Accm: 0.63 (0.63) Acct: 0.97 (0.97) proj_loss: -0.3303 (-0.3303) time: 0.4885 data: 0.0003
[11-22 16:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:10:11 tlr: 7.8e-05 tnm: 1.52 Lm: 8.233 (8.233) Lt: 7.956 (7.956) Accm: 0.59 (0.59) Acct: 0.84 (0.84) proj_loss: -0.3275 (-0.3275) time: 0.4885 data: 0.0003
[11-22 16:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:10:11 tlr: 7.8e-05 tnm: 1.52 Lm: 8.261 (8.261) Lt: 7.994 (7.994) Accm: 0.53 (0.53) Acct: 0.74 (0.74) proj_loss: -0.3267 (-0.3267) time: 0.4885 data: 0.0003
[11-22 16:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:10:11 tlr: 7.8e-05 tnm: 1.52 Lm: 8.236 (8.236) Lt: 7.964 (7.964) Accm: 0.62 (0.62) Acct: 0.86 (0.86) proj_loss: -0.3257 (-0.3257) time: 0.4885 data: 0.0003
[11-22 16:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:06:53 tlr: 8.6e-05 tnm: 1.42 Lm: 8.214 (8.229) Lt: 7.930 (7.947) Accm: 0.58 (0.58) Acct: 0.81 (0.80) proj_loss: -0.3370 (-0.3294) time: 0.5357 data: 0.0003
[11-22 16:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:06:53 tlr: 8.6e-05 tnm: 1.42 Lm: 8.198 (8.199) Lt: 7.914 (7.914) Accm: 0.71 (0.63) Acct: 0.84 (0.84) proj_loss: -0.3287 (-0.3280) time: 0.5356 data: 0.0002
[11-22 16:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:06:53 tlr: 8.6e-05 tnm: 1.42 Lm: 8.239 (8.243) Lt: 7.973 (7.960) Accm: 0.55 (0.54) Acct: 0.69 (0.72) proj_loss: -0.3234 (-0.3256) time: 0.5356 data: 0.0003
[11-22 16:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:06:53 tlr: 8.6e-05 tnm: 1.42 Lm: 8.207 (8.210) Lt: 7.937 (7.946) Accm: 0.62 (0.63) Acct: 0.88 (0.90) proj_loss: -0.3306 (-0.3341) time: 0.5357 data: 0.0003
[11-22 16:38:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:03:26 tlr: 9.5e-05 tnm: 1.34 Lm: 8.186 (8.188) Lt: 7.921 (7.911) Accm: 0.62 (0.62) Acct: 0.90 (0.90) proj_loss: -0.3318 (-0.3339) time: 0.4828 data: 0.0003
[11-22 16:38:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:03:26 tlr: 9.5e-05 tnm: 1.34 Lm: 8.164 (8.180) Lt: 7.872 (7.889) Accm: 0.67 (0.63) Acct: 0.91 (0.89) proj_loss: -0.3289 (-0.3333) time: 0.4828 data: 0.0002
[11-22 16:38:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:03:26 tlr: 9.5e-05 tnm: 1.34 Lm: 8.223 (8.222) Lt: 7.933 (7.942) Accm: 0.56 (0.57) Acct: 0.74 (0.74) proj_loss: -0.3278 (-0.3295) time: 0.4828 data: 0.0002
[11-22 16:38:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:03:26 tlr: 9.5e-05 tnm: 1.34 Lm: 8.205 (8.212) Lt: 7.922 (7.937) Accm: 0.58 (0.58) Acct: 0.83 (0.81) proj_loss: -0.3362 (-0.3309) time: 0.4828 data: 0.0002
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.06 Lm: 8.195 (8.184) Lt: 7.913 (7.905) Accm: 0.58 (0.60) Acct: 0.84 (0.83) proj_loss: -0.3370 (-0.3343) time: 0.4838 data: 0.0018
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:13:39 (0.491 s / it)
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.06 Lm: 8.130 (8.165) Lt: 7.829 (7.867) Accm: 0.64 (0.63) Acct: 0.84 (0.87) proj_loss: -0.3291 (-0.3361) time: 0.4838 data: 0.0016
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.06 Lm: 8.207 (8.198) Lt: 7.893 (7.914) Accm: 0.56 (0.58) Acct: 0.72 (0.74) proj_loss: -0.3322 (-0.3320) time: 0.4838 data: 0.0019
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.06 Lm: 8.165 (8.177) Lt: 7.905 (7.894) Accm: 0.62 (0.62) Acct: 0.88 (0.89) proj_loss: -0.3331 (-0.3374) time: 0.4838 data: 0.0018
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:13:39 (0.491 s / it)
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:13:39 (0.491 s / it)
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:13:39 (0.491 s / it)
[11-22 16:42:06] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.168 (8.168), Lt: 7.888 (7.888), Acc m&t: 0.61 0.84, Remain: 3 days, 6:44:46, Finish: 2024-11-25 07:26
[11-22 16:42:06] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.168 (8.168), Lt: 7.888 (7.888), Acc m&t: 0.61 0.84, Remain: 3 days, 6:46:14, Finish: 2024-11-25 07:28
[11-22 16:42:06] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.168 (8.168), Lt: 7.888 (7.888), Acc m&t: 0.61 0.84, Remain: 3 days, 6:45:44, Finish: 2024-11-25 07:27
[11-22 16:42:06] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.168 (8.168), Lt: 7.888 (7.888), Acc m&t: 0.61 0.84, Remain: 3 days, 6:45:35, Finish: 2024-11-25 07:27
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:12:51 tlr: 0.0001 tnm: 1.16 Lm: 8.121 (8.121) Lt: 7.824 (7.824) Accm: 0.52 (0.52) Acct: 0.64 (0.64) proj_loss: -0.3497 (-0.3497) time: 0.4620 data: 0.0004
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:12:52 tlr: 0.0001 tnm: 1.16 Lm: 8.083 (8.083) Lt: 7.831 (7.831) Accm: 0.75 (0.75) Acct: 1.07 (1.07) proj_loss: -0.3558 (-0.3558) time: 0.4628 data: 0.0003
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:12:52 tlr: 0.0001 tnm: 1.16 Lm: 8.104 (8.104) Lt: 7.837 (7.837) Accm: 0.57 (0.57) Acct: 0.83 (0.83) proj_loss: -0.3458 (-0.3458) time: 0.4627 data: 0.0004
[11-22 16:42:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:12:52 tlr: 0.0001 tnm: 1.16 Lm: 8.112 (8.112) Lt: 7.791 (7.791) Accm: 0.58 (0.58) Acct: 0.76 (0.76) proj_loss: -0.3529 (-0.3529) time: 0.4626 data: 0.0003
[11-22 16:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:10:07 tlr: 0.00011 tnm: 1.08 Lm: 8.062 (8.062) Lt: 7.739 (7.739) Accm: 0.71 (0.71) Acct: 1.02 (1.02) proj_loss: -0.3563 (-0.3563) time: 0.4829 data: 0.0003
[11-22 16:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:10:07 tlr: 0.00011 tnm: 1.08 Lm: 8.093 (8.093) Lt: 7.808 (7.808) Accm: 0.59 (0.59) Acct: 0.79 (0.79) proj_loss: -0.3515 (-0.3515) time: 0.4829 data: 0.0003
[11-22 16:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:10:07 tlr: 0.00011 tnm: 1.08 Lm: 8.065 (8.065) Lt: 7.803 (7.803) Accm: 0.75 (0.75) Acct: 1.00 (1.00) proj_loss: -0.3526 (-0.3526) time: 0.4829 data: 0.0002
[11-22 16:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:10:07 tlr: 0.00011 tnm: 1.08 Lm: 8.060 (8.060) Lt: 7.782 (7.782) Accm: 0.61 (0.61) Acct: 0.86 (0.86) proj_loss: -0.3571 (-0.3571) time: 0.4829 data: 0.0003
[11-22 16:48:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:06:45 tlr: 0.00012 tnm: 1.19 Lm: 8.057 (8.059) Lt: 7.755 (7.773) Accm: 0.62 (0.61) Acct: 0.83 (0.84) proj_loss: -0.3601 (-0.3581) time: 0.4862 data: 0.0003
[11-22 16:48:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:06:45 tlr: 0.00012 tnm: 1.19 Lm: 8.066 (8.069) Lt: 7.791 (7.784) Accm: 0.67 (0.67) Acct: 0.95 (0.92) proj_loss: -0.3531 (-0.3520) time: 0.4862 data: 0.0002
[11-22 16:48:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:06:45 tlr: 0.00012 tnm: 1.19 Lm: 8.046 (8.041) Lt: 7.775 (7.755) Accm: 0.75 (0.75) Acct: 1.07 (1.04) proj_loss: -0.3493 (-0.3510) time: 0.4862 data: 0.0002
[11-22 16:48:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:06:45 tlr: 0.00012 tnm: 1.19 Lm: 8.022 (8.048) Lt: 7.736 (7.738) Accm: 0.65 (0.69) Acct: 0.88 (0.97) proj_loss: -0.3578 (-0.3568) time: 0.4862 data: 0.0003
[11-22 16:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 1.15 Lm: 8.027 (8.044) Lt: 7.718 (7.728) Accm: 0.68 (0.69) Acct: 0.95 (0.98) proj_loss: -0.3569 (-0.3566) time: 0.4899 data: 0.0003
[11-22 16:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 1.15 Lm: 8.044 (8.041) Lt: 7.766 (7.755) Accm: 0.75 (0.74) Acct: 1.02 (1.02) proj_loss: -0.3502 (-0.3510) time: 0.4900 data: 0.0002
[11-22 16:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 1.15 Lm: 8.042 (8.051) Lt: 7.745 (7.763) Accm: 0.63 (0.62) Acct: 0.86 (0.86) proj_loss: -0.3589 (-0.3580) time: 0.4900 data: 0.0003
[11-22 16:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 1.15 Lm: 8.043 (8.045) Lt: 7.764 (7.758) Accm: 0.73 (0.70) Acct: 1.06 (0.98) proj_loss: -0.3532 (-0.3567) time: 0.4900 data: 0.0002
[11-22 16:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 1.06 Lm: 8.020 (8.035) Lt: 7.736 (7.748) Accm: 0.74 (0.71) Acct: 1.03 (0.99) proj_loss: -0.3532 (-0.3600) time: 0.4917 data: 0.0017
[11-22 16:55:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:13:42 (0.493 s / it)
[11-22 16:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 1.06 Lm: 8.042 (8.030) Lt: 7.756 (7.741) Accm: 0.75 (0.74) Acct: 1.07 (1.04) proj_loss: -0.3512 (-0.3549) time: 0.4917 data: 0.0017
[11-22 16:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 1.06 Lm: 8.028 (8.039) Lt: 7.735 (7.750) Accm: 0.64 (0.64) Acct: 0.90 (0.88) proj_loss: -0.3601 (-0.3589) time: 0.4917 data: 0.0018
[11-22 16:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 1.06 Lm: 8.022 (8.024) Lt: 7.699 (7.705) Accm: 0.71 (0.72) Acct: 1.02 (0.99) proj_loss: -0.3578 (-0.3595) time: 0.4917 data: 0.0015
[11-22 16:55:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:13:42 (0.493 s / it)
[11-22 16:55:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:13:42 (0.493 s / it)
[11-22 16:55:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:13:42 (0.493 s / it)
[11-22 16:55:48] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.035 (8.035), Lt: 7.738 (7.738), Acc m&t: 0.71 0.97, Remain: 3 days, 7:22:25, Finish: 2024-11-25 08:18
[11-22 16:55:48] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.035 (8.035), Lt: 7.738 (7.738), Acc m&t: 0.71 0.97, Remain: 3 days, 7:21:54, Finish: 2024-11-25 08:17
[11-22 16:55:48] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.035 (8.035), Lt: 7.738 (7.738), Acc m&t: 0.71 0.97, Remain: 3 days, 7:24:27, Finish: 2024-11-25 08:20
[11-22 16:55:48] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.035 (8.035), Lt: 7.738 (7.738), Acc m&t: 0.71 0.97, Remain: 3 days, 7:22:31, Finish: 2024-11-25 08:18
[11-22 16:55:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:13:15 tlr: 0.00014 tnm: 1.05 Lm: 7.951 (7.951) Lt: 7.677 (7.677) Accm: 0.81 (0.81) Acct: 0.96 (0.96) proj_loss: -0.3659 (-0.3659) time: 0.4769 data: 0.0003
[11-22 16:55:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:13:15 tlr: 0.00014 tnm: 1.05 Lm: 7.867 (7.867) Lt: 7.533 (7.533) Accm: 0.74 (0.74) Acct: 0.96 (0.96) proj_loss: -0.3673 (-0.3673) time: 0.4768 data: 0.0004
[11-22 16:55:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:13:16 tlr: 0.00014 tnm: 1.05 Lm: 7.947 (7.947) Lt: 7.654 (7.654) Accm: 0.79 (0.79) Acct: 0.98 (0.98) proj_loss: -0.3765 (-0.3765) time: 0.4771 data: 0.0004
[11-22 16:55:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:13:15 tlr: 0.00014 tnm: 1.05 Lm: 8.007 (8.007) Lt: 7.712 (7.712) Accm: 0.81 (0.81) Acct: 1.12 (1.12) proj_loss: -0.3572 (-0.3572) time: 0.4767 data: 0.0004
[11-22 16:59:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:10:06 tlr: 0.00015 tnm: 0.92 Lm: 7.951 (7.951) Lt: 7.647 (7.647) Accm: 0.87 (0.87) Acct: 1.25 (1.25) proj_loss: -0.3734 (-0.3734) time: 0.4866 data: 0.0003
[11-22 16:59:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:10:06 tlr: 0.00015 tnm: 0.92 Lm: 7.917 (7.917) Lt: 7.597 (7.597) Accm: 0.76 (0.76) Acct: 1.06 (1.06) proj_loss: -0.3635 (-0.3635) time: 0.4865 data: 0.0003
[11-22 16:59:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:10:06 tlr: 0.00015 tnm: 0.92 Lm: 7.937 (7.937) Lt: 7.652 (7.652) Accm: 0.81 (0.81) Acct: 1.08 (1.08) proj_loss: -0.3762 (-0.3762) time: 0.4866 data: 0.0002
[11-22 16:59:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:10:06 tlr: 0.00015 tnm: 0.92 Lm: 7.974 (7.974) Lt: 7.672 (7.672) Accm: 0.82 (0.82) Acct: 1.13 (1.13) proj_loss: -0.3769 (-0.3769) time: 0.4866 data: 0.0003
[11-22 17:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:06:44 tlr: 0.00015 tnm: 0.85 Lm: 7.957 (7.968) Lt: 7.665 (7.669) Accm: 0.79 (0.81) Acct: 1.14 (1.13) proj_loss: -0.3774 (-0.3773) time: 0.4884 data: 0.0002
[11-22 17:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:06:44 tlr: 0.00015 tnm: 0.85 Lm: 7.923 (7.928) Lt: 7.626 (7.633) Accm: 0.82 (0.82) Acct: 1.02 (1.06) proj_loss: -0.3837 (-0.3787) time: 0.4884 data: 0.0002
[11-22 17:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:06:44 tlr: 0.00015 tnm: 0.85 Lm: 7.934 (7.945) Lt: 7.662 (7.652) Accm: 0.81 (0.82) Acct: 1.12 (1.14) proj_loss: -0.3887 (-0.3785) time: 0.4884 data: 0.0003
[11-22 17:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:06:44 tlr: 0.00015 tnm: 0.85 Lm: 7.867 (7.877) Lt: 7.533 (7.562) Accm: 0.79 (0.87) Acct: 1.15 (1.24) proj_loss: -0.3673 (-0.3672) time: 0.4884 data: 0.0003
[11-22 17:05:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:03:22 tlr: 0.00016 tnm: 0.90 Lm: 7.906 (7.893) Lt: 7.597 (7.591) Accm: 0.78 (0.85) Acct: 1.06 (1.11) proj_loss: -0.3710 (-0.3729) time: 0.4839 data: 0.0002
[11-22 17:05:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:03:22 tlr: 0.00016 tnm: 0.90 Lm: 7.952 (7.951) Lt: 7.659 (7.641) Accm: 0.80 (0.81) Acct: 1.18 (1.15) proj_loss: -0.3777 (-0.3781) time: 0.4839 data: 0.0003
[11-22 17:05:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:03:22 tlr: 0.00016 tnm: 0.90 Lm: 7.927 (7.939) Lt: 7.636 (7.641) Accm: 0.76 (0.78) Acct: 1.02 (1.08) proj_loss: -0.3827 (-0.3781) time: 0.4840 data: 0.0003
[11-22 17:05:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:03:22 tlr: 0.00016 tnm: 0.90 Lm: 7.917 (7.910) Lt: 7.611 (7.615) Accm: 0.81 (0.82) Acct: 1.02 (1.05) proj_loss: -0.3851 (-0.3820) time: 0.4839 data: 0.0002
[11-22 17:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.82 Lm: 7.923 (7.913) Lt: 7.603 (7.612) Accm: 0.82 (0.82) Acct: 1.02 (1.07) proj_loss: -0.3837 (-0.3803) time: 0.6204 data: 0.0019
[11-22 17:09:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:13:39 (0.491 s / it)
[11-22 17:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.82 Lm: 7.925 (7.900) Lt: 7.646 (7.602) Accm: 0.79 (0.84) Acct: 1.15 (1.14) proj_loss: -0.3747 (-0.3750) time: 0.6204 data: 0.0017
[11-22 17:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.82 Lm: 7.921 (7.926) Lt: 7.610 (7.623) Accm: 0.81 (0.80) Acct: 1.12 (1.15) proj_loss: -0.3869 (-0.3798) time: 0.6204 data: 0.0021
[11-22 17:09:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.82 Lm: 7.947 (7.921) Lt: 7.654 (7.615) Accm: 0.82 (0.82) Acct: 1.14 (1.14) proj_loss: -0.3780 (-0.3817) time: 0.6204 data: 0.0016
[11-22 17:09:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:13:39 (0.491 s / it)
[11-22 17:09:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:13:39 (0.491 s / it)
[11-22 17:09:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:13:39 (0.491 s / it)
[11-22 17:09:27] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 7.931 (7.931), Lt: 7.628 (7.628), Acc m&t: 0.81 1.11, Remain: 3 days, 7:12:30, Finish: 2024-11-25 08:21
[11-22 17:09:27] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 7.931 (7.931), Lt: 7.628 (7.628), Acc m&t: 0.81 1.11, Remain: 3 days, 7:13:16, Finish: 2024-11-25 08:22
[11-22 17:09:27] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 7.931 (7.931), Lt: 7.628 (7.628), Acc m&t: 0.81 1.11, Remain: 3 days, 7:12:23, Finish: 2024-11-25 08:21
[11-22 17:09:27] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 7.931 (7.931), Lt: 7.628 (7.628), Acc m&t: 0.81 1.11, Remain: 3 days, 7:13:11, Finish: 2024-11-25 08:22
[11-22 17:09:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:13:10 tlr: 0.00017 tnm: 0.74 Lm: 7.849 (7.849) Lt: 7.575 (7.575) Accm: 0.74 (0.74) Acct: 1.03 (1.03) proj_loss: -0.3934 (-0.3934) time: 0.4737 data: 0.0004
[11-22 17:09:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:13:10 tlr: 0.00017 tnm: 0.74 Lm: 7.823 (7.823) Lt: 7.525 (7.525) Accm: 0.88 (0.88) Acct: 1.26 (1.26) proj_loss: -0.4014 (-0.4014) time: 0.4738 data: 0.0004
[11-22 17:09:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:13:11 tlr: 0.00017 tnm: 0.74 Lm: 7.723 (7.723) Lt: 7.426 (7.426) Accm: 0.96 (0.96) Acct: 1.45 (1.45) proj_loss: -0.4045 (-0.4045) time: 0.4742 data: 0.0003
[11-22 17:09:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:13:11 tlr: 0.00017 tnm: 0.74 Lm: 7.909 (7.909) Lt: 7.626 (7.626) Accm: 0.86 (0.86) Acct: 0.95 (0.95) proj_loss: -0.3859 (-0.3859) time: 0.4743 data: 0.0004
[11-22 17:12:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:10:11 tlr: 0.00018 tnm: 0.79 Lm: 7.885 (7.885) Lt: 7.600 (7.600) Accm: 0.91 (0.91) Acct: 1.15 (1.15) proj_loss: -0.3891 (-0.3891) time: 0.4880 data: 0.0003
[11-22 17:12:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:10:11 tlr: 0.00018 tnm: 0.79 Lm: 7.843 (7.843) Lt: 7.554 (7.554) Accm: 0.86 (0.86) Acct: 1.22 (1.22) proj_loss: -0.3915 (-0.3915) time: 0.4880 data: 0.0003
[11-22 17:12:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:10:11 tlr: 0.00018 tnm: 0.79 Lm: 7.834 (7.834) Lt: 7.549 (7.549) Accm: 0.86 (0.86) Acct: 1.17 (1.17) proj_loss: -0.3937 (-0.3937) time: 0.4879 data: 0.0003
[11-22 17:12:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:10:11 tlr: 0.00018 tnm: 0.79 Lm: 7.737 (7.737) Lt: 7.430 (7.430) Accm: 1.04 (1.04) Acct: 1.48 (1.48) proj_loss: -0.4000 (-0.4000) time: 0.4880 data: 0.0003
[11-22 17:16:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:06:46 tlr: 0.00019 tnm: 0.78 Lm: 7.750 (7.780) Lt: 7.433 (7.471) Accm: 0.96 (0.97) Acct: 1.45 (1.39) proj_loss: -0.3955 (-0.3969) time: 0.4869 data: 0.0002
[11-22 17:16:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:06:46 tlr: 0.00019 tnm: 0.78 Lm: 7.823 (7.834) Lt: 7.529 (7.546) Accm: 0.88 (0.88) Acct: 1.19 (1.19) proj_loss: -0.4014 (-0.3974) time: 0.4869 data: 0.0002
[11-22 17:16:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:06:46 tlr: 0.00019 tnm: 0.78 Lm: 7.819 (7.829) Lt: 7.523 (7.532) Accm: 0.98 (0.90) Acct: 1.31 (1.22) proj_loss: -0.3941 (-0.4049) time: 0.4869 data: 0.0002
[11-22 17:16:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:06:46 tlr: 0.00019 tnm: 0.78 Lm: 7.860 (7.865) Lt: 7.574 (7.566) Accm: 0.95 (0.95) Acct: 1.36 (1.25) proj_loss: -0.3924 (-0.3929) time: 0.4869 data: 0.0003
[11-22 17:19:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.70 Lm: 7.842 (7.847) Lt: 7.540 (7.551) Accm: 0.93 (0.94) Acct: 1.33 (1.26) proj_loss: -0.3964 (-0.3959) time: 0.4822 data: 0.0003
[11-22 17:19:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.70 Lm: 7.818 (7.814) Lt: 7.511 (7.510) Accm: 0.98 (0.94) Acct: 1.31 (1.28) proj_loss: -0.3993 (-0.4048) time: 0.4822 data: 0.0002
[11-22 17:19:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.70 Lm: 7.758 (7.777) Lt: 7.436 (7.463) Accm: 0.97 (0.97) Acct: 1.41 (1.39) proj_loss: -0.3987 (-0.3981) time: 0.4822 data: 0.0002
[11-22 17:19:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.70 Lm: 7.819 (7.825) Lt: 7.527 (7.531) Accm: 0.90 (0.89) Acct: 1.22 (1.23) proj_loss: -0.4005 (-0.3979) time: 0.4823 data: 0.0002
[11-22 17:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.68 Lm: 7.816 (7.817) Lt: 7.525 (7.510) Accm: 0.91 (0.90) Acct: 1.26 (1.24) proj_loss: -0.4014 (-0.3989) time: 0.4871 data: 0.0017
[11-22 17:22:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:13:31 (0.486 s / it)
[11-22 17:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.68 Lm: 7.765 (7.774) Lt: 7.439 (7.461) Accm: 0.96 (0.97) Acct: 1.38 (1.37) proj_loss: -0.4019 (-0.4001) time: 0.4871 data: 0.0016
[11-22 17:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.68 Lm: 7.838 (7.845) Lt: 7.531 (7.547) Accm: 0.95 (0.98) Acct: 1.36 (1.32) proj_loss: -0.4004 (-0.3986) time: 0.4871 data: 0.0018
[11-22 17:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.68 Lm: 7.818 (7.807) Lt: 7.499 (7.505) Accm: 0.98 (0.93) Acct: 1.31 (1.28) proj_loss: -0.4045 (-0.4093) time: 0.4871 data: 0.0020
[11-22 17:22:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:13:31 (0.486 s / it)
[11-22 17:22:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:13:31 (0.486 s / it)
[11-22 17:22:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:13:31 (0.486 s / it)
[11-22 17:22:59] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.816 (7.816), Lt: 7.508 (7.508), Acc m&t: 0.91 1.24, Remain: 3 days, 6:33:16, Finish: 2024-11-25 07:56
[11-22 17:22:59] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.816 (7.816), Lt: 7.508 (7.508), Acc m&t: 0.91 1.24, Remain: 3 days, 6:31:26, Finish: 2024-11-25 07:54
[11-22 17:22:59] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.816 (7.816), Lt: 7.508 (7.508), Acc m&t: 0.91 1.24, Remain: 3 days, 6:34:46, Finish: 2024-11-25 07:57
[11-22 17:22:59] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.816 (7.816), Lt: 7.508 (7.508), Acc m&t: 0.91 1.24, Remain: 3 days, 6:32:22, Finish: 2024-11-25 07:55
[11-22 17:23:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.70 Lm: 7.772 (7.772) Lt: 7.443 (7.443) Accm: 1.01 (1.01) Acct: 1.64 (1.64) proj_loss: -0.3840 (-0.3840) time: 0.4612 data: 0.0003
[11-22 17:23:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:12:57 tlr: 0.00021 tnm: 0.70 Lm: 7.753 (7.753) Lt: 7.399 (7.399) Accm: 0.95 (0.95) Acct: 1.08 (1.08) proj_loss: -0.4089 (-0.4089) time: 0.4657 data: 0.0003
[11-22 17:23:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.70 Lm: 7.822 (7.822) Lt: 7.531 (7.531) Accm: 0.84 (0.84) Acct: 1.15 (1.15) proj_loss: -0.4060 (-0.4060) time: 0.4612 data: 0.0003
[11-22 17:23:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.70 Lm: 7.791 (7.791) Lt: 7.435 (7.435) Accm: 0.93 (0.93) Acct: 1.22 (1.22) proj_loss: -0.4173 (-0.4173) time: 0.4612 data: 0.0004
[11-22 17:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:10:15 tlr: 0.00021 tnm: 0.74 Lm: 7.798 (7.798) Lt: 7.455 (7.455) Accm: 0.93 (0.93) Acct: 1.27 (1.27) proj_loss: -0.4162 (-0.4162) time: 0.4838 data: 0.0003
[11-22 17:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:10:15 tlr: 0.00021 tnm: 0.74 Lm: 7.734 (7.734) Lt: 7.377 (7.377) Accm: 0.97 (0.97) Acct: 1.26 (1.26) proj_loss: -0.4075 (-0.4075) time: 0.4838 data: 0.0003
[11-22 17:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:10:15 tlr: 0.00021 tnm: 0.74 Lm: 7.711 (7.711) Lt: 7.407 (7.407) Accm: 0.97 (0.97) Acct: 1.31 (1.31) proj_loss: -0.4124 (-0.4124) time: 0.4838 data: 0.0003
[11-22 17:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:10:15 tlr: 0.00021 tnm: 0.74 Lm: 7.730 (7.730) Lt: 7.397 (7.397) Accm: 0.97 (0.97) Acct: 1.40 (1.40) proj_loss: -0.3996 (-0.3996) time: 0.4838 data: 0.0003
[11-22 17:29:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:06:58 tlr: 0.00022 tnm: 0.65 Lm: 7.688 (7.714) Lt: 7.350 (7.370) Accm: 1.01 (1.00) Acct: 1.55 (1.45) proj_loss: -0.4151 (-0.4056) time: 0.4872 data: 0.0003
[11-22 17:29:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:06:58 tlr: 0.00022 tnm: 0.65 Lm: 7.791 (7.769) Lt: 7.435 (7.445) Accm: 0.93 (0.87) Acct: 1.22 (1.20) proj_loss: -0.4173 (-0.4220) time: 0.4872 data: 0.0002
[11-22 17:29:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:06:58 tlr: 0.00022 tnm: 0.65 Lm: 7.737 (7.735) Lt: 7.399 (7.394) Accm: 0.97 (0.97) Acct: 1.29 (1.27) proj_loss: -0.4089 (-0.4146) time: 0.4871 data: 0.0003
[11-22 17:29:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:06:58 tlr: 0.00022 tnm: 0.65 Lm: 7.672 (7.698) Lt: 7.329 (7.381) Accm: 0.98 (0.97) Acct: 1.17 (1.26) proj_loss: -0.4153 (-0.4133) time: 0.4872 data: 0.0002
[11-22 17:33:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.62 Lm: 7.648 (7.679) Lt: 7.305 (7.340) Accm: 1.02 (0.99) Acct: 1.32 (1.37) proj_loss: -0.4170 (-0.4162) time: 0.4829 data: 0.0003
[11-22 17:33:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.62 Lm: 7.731 (7.732) Lt: 7.378 (7.385) Accm: 0.98 (1.00) Acct: 1.36 (1.33) proj_loss: -0.4075 (-0.4118) time: 0.4829 data: 0.0003
[11-22 17:33:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.62 Lm: 7.766 (7.762) Lt: 7.431 (7.441) Accm: 0.93 (0.89) Acct: 1.27 (1.23) proj_loss: -0.4242 (-0.4243) time: 0.4829 data: 0.0003
[11-22 17:33:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.62 Lm: 7.686 (7.695) Lt: 7.333 (7.346) Accm: 1.03 (1.04) Acct: 1.48 (1.44) proj_loss: -0.4163 (-0.4095) time: 0.4829 data: 0.0005
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.67 Lm: 7.684 (7.690) Lt: 7.316 (7.335) Accm: 1.03 (1.04) Acct: 1.41 (1.41) proj_loss: -0.4176 (-0.4132) time: 0.4872 data: 0.0015
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:13:44 (0.494 s / it)
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.67 Lm: 7.672 (7.686) Lt: 7.329 (7.341) Accm: 1.06 (1.01) Acct: 1.45 (1.38) proj_loss: -0.4187 (-0.4168) time: 0.4872 data: 0.0015
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.67 Lm: 7.725 (7.714) Lt: 7.358 (7.357) Accm: 0.99 (1.02) Acct: 1.41 (1.34) proj_loss: -0.4089 (-0.4147) time: 0.4872 data: 0.0017
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.67 Lm: 7.742 (7.733) Lt: 7.428 (7.400) Accm: 0.93 (0.95) Acct: 1.31 (1.32) proj_loss: -0.4311 (-0.4261) time: 0.4872 data: 0.0016
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:13:44 (0.494 s / it)
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:13:44 (0.494 s / it)
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:13:44 (0.494 s / it)
[11-22 17:36:44] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.687 (7.687), Lt: 7.344 (7.344), Acc m&t: 1.03 1.39, Remain: 3 days, 6:32:30, Finish: 2024-11-25 08:09
[11-22 17:36:44] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.687 (7.687), Lt: 7.344 (7.344), Acc m&t: 1.03 1.39, Remain: 3 days, 6:32:52, Finish: 2024-11-25 08:09
[11-22 17:36:44] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.687 (7.687), Lt: 7.344 (7.344), Acc m&t: 1.03 1.39, Remain: 3 days, 6:31:31, Finish: 2024-11-25 08:08
[11-22 17:36:44] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.687 (7.687), Lt: 7.344 (7.344), Acc m&t: 1.03 1.39, Remain: 3 days, 6:31:39, Finish: 2024-11-25 08:08
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:12:49 tlr: 0.00024 tnm: 0.62 Lm: 7.590 (7.590) Lt: 7.229 (7.229) Accm: 1.14 (1.14) Acct: 1.41 (1.41) proj_loss: -0.4334 (-0.4334) time: 0.4608 data: 0.0003
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:12:50 tlr: 0.00024 tnm: 0.62 Lm: 7.579 (7.579) Lt: 7.183 (7.183) Accm: 1.28 (1.28) Acct: 1.86 (1.86) proj_loss: -0.4362 (-0.4362) time: 0.4615 data: 0.0004
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:12:49 tlr: 0.00024 tnm: 0.62 Lm: 7.624 (7.624) Lt: 7.249 (7.249) Accm: 0.95 (0.95) Acct: 1.34 (1.34) proj_loss: -0.4174 (-0.4174) time: 0.4611 data: 0.0004
[11-22 17:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:12:49 tlr: 0.00024 tnm: 0.62 Lm: 7.682 (7.682) Lt: 7.302 (7.302) Accm: 1.17 (1.17) Acct: 1.53 (1.53) proj_loss: -0.3874 (-0.3874) time: 0.4613 data: 0.0004
[11-22 17:40:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.69 Lm: 7.596 (7.596) Lt: 7.227 (7.227) Accm: 1.24 (1.24) Acct: 1.63 (1.63) proj_loss: -0.4119 (-0.4119) time: 0.4869 data: 0.0002
[11-22 17:40:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.69 Lm: 7.586 (7.586) Lt: 7.195 (7.195) Accm: 1.26 (1.26) Acct: 1.87 (1.87) proj_loss: -0.4314 (-0.4314) time: 0.4869 data: 0.0003
[11-22 17:40:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.69 Lm: 7.539 (7.539) Lt: 7.167 (7.167) Accm: 1.30 (1.30) Acct: 1.69 (1.69) proj_loss: -0.4311 (-0.4311) time: 0.4869 data: 0.0003
[11-22 17:40:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.69 Lm: 7.612 (7.612) Lt: 7.237 (7.237) Accm: 1.12 (1.12) Acct: 1.50 (1.50) proj_loss: -0.4180 (-0.4180) time: 0.4869 data: 0.0002
[11-22 17:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.70 Lm: 7.600 (7.607) Lt: 7.225 (7.221) Accm: 1.20 (1.15) Acct: 1.55 (1.52) proj_loss: -0.4187 (-0.4237) time: 0.6144 data: 0.0002
[11-22 17:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.70 Lm: 7.579 (7.554) Lt: 7.183 (7.165) Accm: 1.27 (1.26) Acct: 1.88 (1.87) proj_loss: -0.4266 (-0.4264) time: 0.6144 data: 0.0003
[11-22 17:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.70 Lm: 7.662 (7.618) Lt: 7.248 (7.234) Accm: 1.17 (1.19) Acct: 1.70 (1.65) proj_loss: -0.4200 (-0.4146) time: 0.6144 data: 0.0003
[11-22 17:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.70 Lm: 7.579 (7.553) Lt: 7.195 (7.176) Accm: 1.14 (1.24) Acct: 1.58 (1.65) proj_loss: -0.4289 (-0.4241) time: 0.6144 data: 0.0003
[11-22 17:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:03:27 tlr: 0.00024 tnm: 0.58 Lm: 7.534 (7.504) Lt: 7.149 (7.112) Accm: 1.29 (1.28) Acct: 1.77 (1.79) proj_loss: -0.4282 (-0.4249) time: 0.4885 data: 0.0003
[11-22 17:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:03:27 tlr: 0.00024 tnm: 0.58 Lm: 7.598 (7.584) Lt: 7.207 (7.189) Accm: 1.19 (1.15) Acct: 1.60 (1.59) proj_loss: -0.4268 (-0.4265) time: 0.4885 data: 0.0002
[11-22 17:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:03:27 tlr: 0.00024 tnm: 0.58 Lm: 7.630 (7.613) Lt: 7.234 (7.230) Accm: 1.14 (1.17) Acct: 1.62 (1.61) proj_loss: -0.4244 (-0.4182) time: 0.4885 data: 0.0003
[11-22 17:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:03:27 tlr: 0.00024 tnm: 0.58 Lm: 7.551 (7.546) Lt: 7.145 (7.144) Accm: 1.28 (1.31) Acct: 1.88 (1.90) proj_loss: -0.4222 (-0.4243) time: 0.4885 data: 0.0003
[11-22 17:50:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.59 Lm: 7.544 (7.546) Lt: 7.139 (7.143) Accm: 1.28 (1.31) Acct: 1.88 (1.87) proj_loss: -0.4266 (-0.4268) time: 0.4870 data: 0.0019
[11-22 17:50:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:13:43 (0.493 s / it)
[11-22 17:50:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.59 Lm: 7.598 (7.600) Lt: 7.220 (7.199) Accm: 1.17 (1.19) Acct: 1.70 (1.63) proj_loss: -0.4289 (-0.4247) time: 0.4870 data: 0.0016
[11-22 17:50:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.59 Lm: 7.596 (7.558) Lt: 7.189 (7.145) Accm: 1.19 (1.16) Acct: 1.64 (1.60) proj_loss: -0.4187 (-0.4248) time: 0.4870 data: 0.0014
[11-22 17:50:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.59 Lm: 7.488 (7.488) Lt: 7.104 (7.086) Accm: 1.30 (1.29) Acct: 1.93 (1.81) proj_loss: -0.4289 (-0.4278) time: 0.4870 data: 0.0020
[11-22 17:50:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:13:43 (0.493 s / it)
[11-22 17:50:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:13:43 (0.493 s / it)
[11-22 17:50:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:13:43 (0.493 s / it)
[11-22 17:50:28] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.536 (7.536), Lt: 7.127 (7.127), Acc m&t: 1.23 1.74, Remain: 3 days, 6:08:44, Finish: 2024-11-25 07:59
[11-22 17:50:28] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.536 (7.536), Lt: 7.127 (7.127), Acc m&t: 1.23 1.74, Remain: 3 days, 6:08:07, Finish: 2024-11-25 07:58
[11-22 17:50:28] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.536 (7.536), Lt: 7.127 (7.127), Acc m&t: 1.23 1.74, Remain: 3 days, 6:09:35, Finish: 2024-11-25 08:00
[11-22 17:50:28] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.536 (7.536), Lt: 7.127 (7.127), Acc m&t: 1.23 1.74, Remain: 3 days, 6:10:00, Finish: 2024-11-25 08:00
[11-22 17:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:12:50 tlr: 0.00024 tnm: 0.57 Lm: 7.474 (7.474) Lt: 7.024 (7.024) Accm: 1.35 (1.35) Acct: 2.17 (2.17) proj_loss: -0.4534 (-0.4534) time: 0.4619 data: 0.0004
[11-22 17:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:12:48 tlr: 0.00024 tnm: 0.57 Lm: 7.405 (7.405) Lt: 6.975 (6.975) Accm: 1.68 (1.68) Acct: 2.48 (2.48) proj_loss: -0.4383 (-0.4383) time: 0.4607 data: 0.0004
[11-22 17:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:12:51 tlr: 0.00024 tnm: 0.57 Lm: 7.542 (7.542) Lt: 7.100 (7.100) Accm: 1.27 (1.27) Acct: 1.72 (1.72) proj_loss: -0.4299 (-0.4299) time: 0.4620 data: 0.0003
[11-22 17:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:12:52 tlr: 0.00024 tnm: 0.57 Lm: 7.466 (7.466) Lt: 7.006 (7.006) Accm: 1.33 (1.33) Acct: 1.95 (1.95) proj_loss: -0.4175 (-0.4175) time: 0.4628 data: 0.0004
[11-22 17:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.63 Lm: 7.377 (7.377) Lt: 6.909 (6.909) Accm: 1.43 (1.43) Acct: 2.02 (2.02) proj_loss: -0.4154 (-0.4154) time: 0.4881 data: 0.0003
[11-22 17:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.63 Lm: 7.530 (7.530) Lt: 7.080 (7.080) Accm: 1.29 (1.29) Acct: 1.81 (1.81) proj_loss: -0.4385 (-0.4385) time: 0.4881 data: 0.0002
[11-22 17:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.63 Lm: 7.385 (7.385) Lt: 6.937 (6.937) Accm: 1.72 (1.72) Acct: 2.49 (2.49) proj_loss: -0.4396 (-0.4396) time: 0.4881 data: 0.0002
[11-22 17:53:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.63 Lm: 7.436 (7.436) Lt: 7.000 (7.000) Accm: 1.39 (1.39) Acct: 2.11 (2.11) proj_loss: -0.4380 (-0.4380) time: 0.4881 data: 0.0003
[11-22 17:57:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.62 Lm: 7.398 (7.406) Lt: 6.975 (6.951) Accm: 1.43 (1.45) Acct: 2.17 (2.15) proj_loss: -0.4275 (-0.4345) time: 0.4863 data: 0.0003
[11-22 17:57:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.62 Lm: 7.405 (7.411) Lt: 6.975 (6.959) Accm: 1.68 (1.60) Acct: 2.48 (2.33) proj_loss: -0.4409 (-0.4473) time: 0.4863 data: 0.0002
[11-22 17:57:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.62 Lm: 7.517 (7.467) Lt: 7.059 (7.009) Accm: 1.32 (1.35) Acct: 1.89 (1.89) proj_loss: -0.4445 (-0.4405) time: 0.4863 data: 0.0003
[11-22 17:57:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.62 Lm: 7.443 (7.399) Lt: 7.006 (6.947) Accm: 1.48 (1.44) Acct: 2.03 (2.03) proj_loss: -0.4175 (-0.4264) time: 0.4863 data: 0.0003
[11-22 18:00:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.54 Lm: 7.432 (7.404) Lt: 6.991 (6.954) Accm: 1.44 (1.43) Acct: 1.99 (2.01) proj_loss: -0.4330 (-0.4349) time: 0.4859 data: 0.0003
[11-22 18:00:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.54 Lm: 7.476 (7.459) Lt: 7.003 (6.994) Accm: 1.38 (1.39) Acct: 1.97 (1.93) proj_loss: -0.4458 (-0.4424) time: 0.4859 data: 0.0003
[11-22 18:00:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.54 Lm: 7.430 (7.420) Lt: 6.968 (6.953) Accm: 1.44 (1.45) Acct: 2.11 (2.12) proj_loss: -0.4314 (-0.4347) time: 0.4859 data: 0.0003
[11-22 18:00:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.54 Lm: 7.385 (7.387) Lt: 6.937 (6.920) Accm: 1.61 (1.59) Acct: 2.28 (2.27) proj_loss: -0.4424 (-0.4465) time: 0.4859 data: 0.0002
[11-22 18:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.62 Lm: 7.365 (7.383) Lt: 6.898 (6.911) Accm: 1.54 (1.54) Acct: 2.08 (2.22) proj_loss: -0.4409 (-0.4447) time: 0.4876 data: 0.0016
[11-22 18:04:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:13:46 (0.495 s / it)
[11-22 18:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.62 Lm: 7.435 (7.413) Lt: 6.947 (6.941) Accm: 1.45 (1.48) Acct: 2.05 (2.10) proj_loss: -0.4445 (-0.4398) time: 0.4876 data: 0.0015
[11-22 18:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.62 Lm: 7.421 (7.392) Lt: 6.975 (6.932) Accm: 1.39 (1.42) Acct: 2.03 (2.06) proj_loss: -0.4484 (-0.4387) time: 0.4876 data: 0.0018
[11-22 18:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.62 Lm: 7.398 (7.397) Lt: 6.960 (6.926) Accm: 1.46 (1.53) Acct: 2.17 (2.25) proj_loss: -0.4353 (-0.4375) time: 0.4876 data: 0.0017
[11-22 18:04:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:13:46 (0.495 s / it)
[11-22 18:04:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:13:46 (0.495 s / it)
[11-22 18:04:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:13:46 (0.495 s / it)
[11-22 18:04:14] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.414 (7.414), Lt: 6.946 (6.946), Acc m&t: 1.42 2.05, Remain: 3 days, 5:57:38, Finish: 2024-11-25 08:01
[11-22 18:04:14] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.414 (7.414), Lt: 6.946 (6.946), Acc m&t: 1.42 2.05, Remain: 3 days, 5:58:30, Finish: 2024-11-25 08:02
[11-22 18:04:14] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.414 (7.414), Lt: 6.946 (6.946), Acc m&t: 1.42 2.05, Remain: 3 days, 5:59:35, Finish: 2024-11-25 08:03
[11-22 18:04:14] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.414 (7.414), Lt: 6.946 (6.946), Acc m&t: 1.42 2.05, Remain: 3 days, 6:01:48, Finish: 2024-11-25 08:06
[11-22 18:04:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:13:31 tlr: 0.00024 tnm: 0.64 Lm: 7.308 (7.308) Lt: 6.791 (6.791) Accm: 1.77 (1.77) Acct: 2.67 (2.67) proj_loss: -0.4550 (-0.4550) time: 0.4861 data: 0.0003
[11-22 18:04:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:13:29 tlr: 0.00024 tnm: 0.64 Lm: 7.379 (7.379) Lt: 6.905 (6.905) Accm: 1.27 (1.27) Acct: 1.84 (1.84) proj_loss: -0.4431 (-0.4431) time: 0.4850 data: 0.0004
[11-22 18:04:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:13:31 tlr: 0.00024 tnm: 0.64 Lm: 7.348 (7.348) Lt: 6.830 (6.830) Accm: 1.56 (1.56) Acct: 2.12 (2.12) proj_loss: -0.4514 (-0.4514) time: 0.4864 data: 0.0004
[11-22 18:04:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:13:31 tlr: 0.00024 tnm: 0.64 Lm: 7.379 (7.379) Lt: 6.879 (6.879) Accm: 1.36 (1.36) Acct: 2.10 (2.10) proj_loss: -0.4364 (-0.4364) time: 0.4860 data: 0.0004
[11-22 18:07:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.56 Lm: 7.369 (7.369) Lt: 6.866 (6.866) Accm: 1.36 (1.36) Acct: 2.12 (2.12) proj_loss: -0.4320 (-0.4320) time: 0.4884 data: 0.0003
[11-22 18:07:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.56 Lm: 7.361 (7.361) Lt: 6.833 (6.833) Accm: 1.52 (1.52) Acct: 2.10 (2.10) proj_loss: -0.4473 (-0.4473) time: 0.4884 data: 0.0003
[11-22 18:07:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.56 Lm: 7.336 (7.336) Lt: 6.830 (6.830) Accm: 1.63 (1.63) Acct: 2.44 (2.44) proj_loss: -0.4437 (-0.4437) time: 0.4884 data: 0.0003
[11-22 18:07:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.56 Lm: 7.366 (7.366) Lt: 6.888 (6.888) Accm: 1.39 (1.39) Acct: 2.05 (2.05) proj_loss: -0.4443 (-0.4443) time: 0.4884 data: 0.0003
[11-22 18:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.51 Lm: 7.352 (7.342) Lt: 6.871 (6.852) Accm: 1.44 (1.41) Acct: 2.24 (2.11) proj_loss: -0.4433 (-0.4439) time: 0.4862 data: 0.0003
[11-22 18:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.51 Lm: 7.365 (7.371) Lt: 6.869 (6.867) Accm: 1.49 (1.52) Acct: 2.22 (2.34) proj_loss: -0.4541 (-0.4471) time: 0.4862 data: 0.0003
[11-22 18:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.51 Lm: 7.348 (7.337) Lt: 6.830 (6.814) Accm: 1.56 (1.55) Acct: 2.12 (2.18) proj_loss: -0.4438 (-0.4461) time: 0.4862 data: 0.0003
[11-22 18:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.51 Lm: 7.359 (7.364) Lt: 6.856 (6.862) Accm: 1.36 (1.44) Acct: 2.13 (2.20) proj_loss: -0.4364 (-0.4404) time: 0.4862 data: 0.0003
[11-22 18:14:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.61 Lm: 7.356 (7.341) Lt: 6.854 (6.833) Accm: 1.44 (1.46) Acct: 2.25 (2.24) proj_loss: -0.4388 (-0.4406) time: 0.4837 data: 0.0003
[11-22 18:14:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.61 Lm: 7.340 (7.357) Lt: 6.830 (6.842) Accm: 1.50 (1.52) Acct: 2.18 (2.29) proj_loss: -0.4523 (-0.4480) time: 0.4837 data: 0.0003
[11-22 18:14:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.61 Lm: 7.326 (7.329) Lt: 6.833 (6.822) Accm: 1.52 (1.54) Acct: 2.19 (2.20) proj_loss: -0.4435 (-0.4427) time: 0.4837 data: 0.0003
[11-22 18:14:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.61 Lm: 7.344 (7.341) Lt: 6.857 (6.849) Accm: 1.46 (1.42) Acct: 2.07 (2.06) proj_loss: -0.4443 (-0.4454) time: 0.4837 data: 0.0002
[11-22 18:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.304 (7.316) Lt: 6.830 (6.804) Accm: 1.56 (1.56) Acct: 2.26 (2.28) proj_loss: -0.4435 (-0.4428) time: 0.5789 data: 0.0015
[11-22 18:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.315 (7.341) Lt: 6.791 (6.826) Accm: 1.50 (1.58) Acct: 2.22 (2.41) proj_loss: -0.4504 (-0.4433) time: 0.5789 data: 0.0015
[11-22 18:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.351 (7.343) Lt: 6.843 (6.838) Accm: 1.44 (1.43) Acct: 2.24 (2.12) proj_loss: -0.4454 (-0.4456) time: 0.5789 data: 0.0014
[11-22 18:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.354 (7.326) Lt: 6.852 (6.818) Accm: 1.52 (1.47) Acct: 2.27 (2.25) proj_loss: -0.4411 (-0.4428) time: 0.5789 data: 0.0021
[11-22 18:17:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:13:39 (0.491 s / it)
[11-22 18:17:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:13:39 (0.491 s / it)
[11-22 18:17:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:13:39 (0.491 s / it)
[11-22 18:17:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:13:39 (0.491 s / it)
[11-22 18:21:51] (me/user/VAR/evaluator.py, line 590)=> downloading InceptionV3 model...
[11-22 18:23:34] (home/user/VAR/trainer.py, line 114)=> FID: 16.84732294347299
[11-22 18:23:35] (/home/user/VAR/train.py , line 259)=> [*] [ep9] (val 50000) Lm: 7.3150, Lt: 6.8038, Acc m&t: 1.56 2.32, Val cost: 340.50s
[11-22 18:23:35] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-22 18:23:57] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.315 (7.315), Lt: 6.804 (6.804), Acc m&t: 1.56 2.32, Remain: 3 days, 6:09:57, Finish: 2024-11-25 08:27
[11-22 18:23:57] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.315 (7.315), Lt: 6.804 (6.804), Acc m&t: 1.56 2.32, Remain: 3 days, 6:10:10, Finish: 2024-11-25 08:28
[11-22 18:23:57] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.315 (7.315), Lt: 6.804 (6.804), Acc m&t: 1.56 2.32, Remain: 3 days, 6:09:03, Finish: 2024-11-25 08:26
[11-22 18:23:57] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.315 (7.315), Lt: 6.804 (6.804), Acc m&t: 1.56 2.32, Remain: 3 days, 6:10:01, Finish: 2024-11-25 08:27
[11-22 18:23:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:18:10 tlr: 0.00024 tnm: 0.55 Lm: 7.376 (7.376) Lt: 6.877 (6.877) Accm: 1.41 (1.41) Acct: 2.20 (2.20) proj_loss: -0.4415 (-0.4415) time: 0.6531 data: 0.0004
[11-22 18:23:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:18:01 tlr: 0.00024 tnm: 0.55 Lm: 7.187 (7.187) Lt: 6.655 (6.655) Accm: 1.89 (1.89) Acct: 2.86 (2.86) proj_loss: -0.4582 (-0.4582) time: 0.6482 data: 0.0004
[11-22 18:23:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:18:03 tlr: 0.00024 tnm: 0.55 Lm: 7.222 (7.222) Lt: 6.685 (6.685) Accm: 1.57 (1.57) Acct: 2.26 (2.26) proj_loss: -0.4468 (-0.4468) time: 0.6490 data: 0.0003
[11-22 18:23:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:18:05 tlr: 0.00024 tnm: 0.55 Lm: 7.245 (7.245) Lt: 6.641 (6.641) Accm: 1.76 (1.76) Acct: 2.69 (2.69) proj_loss: -0.4267 (-0.4267) time: 0.6503 data: 0.0004
[11-22 18:27:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:10:11 tlr: 0.00024 tnm: 0.51 Lm: 7.267 (7.267) Lt: 6.693 (6.693) Accm: 1.74 (1.74) Acct: 2.70 (2.70) proj_loss: -0.4319 (-0.4319) time: 0.4873 data: 0.0003
[11-22 18:27:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:10:11 tlr: 0.00024 tnm: 0.51 Lm: 7.327 (7.327) Lt: 6.823 (6.823) Accm: 1.48 (1.48) Acct: 2.24 (2.24) proj_loss: -0.4537 (-0.4537) time: 0.4873 data: 0.0002
[11-22 18:27:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:10:11 tlr: 0.00024 tnm: 0.51 Lm: 7.221 (7.221) Lt: 6.683 (6.683) Accm: 1.81 (1.81) Acct: 2.78 (2.78) proj_loss: -0.4521 (-0.4521) time: 0.4873 data: 0.0003
[11-22 18:27:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:10:11 tlr: 0.00024 tnm: 0.51 Lm: 7.264 (7.264) Lt: 6.727 (6.727) Accm: 1.58 (1.58) Acct: 2.33 (2.33) proj_loss: -0.4446 (-0.4446) time: 0.4873 data: 0.0003
[11-22 18:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:06:48 tlr: 0.00024 tnm: 0.50 Lm: 7.288 (7.272) Lt: 6.770 (6.743) Accm: 1.57 (1.58) Acct: 2.26 (2.31) proj_loss: -0.4468 (-0.4515) time: 0.4851 data: 0.0003
[11-22 18:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:06:48 tlr: 0.00024 tnm: 0.50 Lm: 7.277 (7.286) Lt: 6.768 (6.753) Accm: 1.55 (1.56) Acct: 2.27 (2.30) proj_loss: -0.4440 (-0.4505) time: 0.4851 data: 0.0002
[11-22 18:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:06:48 tlr: 0.00024 tnm: 0.50 Lm: 7.255 (7.247) Lt: 6.711 (6.705) Accm: 1.78 (1.80) Acct: 2.70 (2.75) proj_loss: -0.4512 (-0.4518) time: 0.4851 data: 0.0003
[11-22 18:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:06:48 tlr: 0.00024 tnm: 0.50 Lm: 7.245 (7.245) Lt: 6.688 (6.692) Accm: 1.71 (1.73) Acct: 2.69 (2.67) proj_loss: -0.4371 (-0.4420) time: 0.4851 data: 0.0003
[11-22 18:34:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.51 Lm: 7.226 (7.235) Lt: 6.665 (6.674) Accm: 1.71 (1.69) Acct: 2.64 (2.63) proj_loss: -0.4464 (-0.4454) time: 0.4889 data: 0.0003
[11-22 18:34:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.51 Lm: 7.274 (7.269) Lt: 6.730 (6.730) Accm: 1.59 (1.60) Acct: 2.33 (2.36) proj_loss: -0.4446 (-0.4472) time: 0.4889 data: 0.0003
[11-22 18:34:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.51 Lm: 7.221 (7.231) Lt: 6.683 (6.672) Accm: 1.82 (1.81) Acct: 2.78 (2.80) proj_loss: -0.4486 (-0.4468) time: 0.4889 data: 0.0003
[11-22 18:34:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.51 Lm: 7.296 (7.293) Lt: 6.783 (6.764) Accm: 1.49 (1.53) Acct: 2.24 (2.23) proj_loss: -0.4450 (-0.4493) time: 0.4889 data: 0.0002
[11-22 18:37:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.277 (7.256) Lt: 6.768 (6.710) Accm: 1.55 (1.60) Acct: 2.27 (2.36) proj_loss: -0.4459 (-0.4487) time: 0.4908 data: 0.0014
[11-22 18:37:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:13:34 (0.488 s / it)
[11-22 18:37:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.255 (7.241) Lt: 6.711 (6.686) Accm: 1.78 (1.80) Acct: 2.70 (2.73) proj_loss: -0.4512 (-0.4506) time: 0.4908 data: 0.0018
[11-22 18:37:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.233 (7.235) Lt: 6.673 (6.674) Accm: 1.71 (1.73) Acct: 2.69 (2.69) proj_loss: -0.4541 (-0.4472) time: 0.4908 data: 0.0018
[11-22 18:37:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.283 (7.272) Lt: 6.749 (6.734) Accm: 1.57 (1.57) Acct: 2.26 (2.31) proj_loss: -0.4467 (-0.4471) time: 0.4908 data: 0.0018
[11-22 18:37:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:13:34 (0.488 s / it)
[11-22 18:37:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:13:34 (0.488 s / it)
[11-22 18:37:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:13:34 (0.488 s / it)
[11-22 18:37:32] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.235 (7.235), Lt: 6.690 (6.690), Acc m&t: 1.71 2.55, Remain: 3 days, 5:51:51, Finish: 2024-11-25 08:29
[11-22 18:37:32] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.235 (7.235), Lt: 6.690 (6.690), Acc m&t: 1.71 2.55, Remain: 3 days, 5:54:24, Finish: 2024-11-25 08:31
[11-22 18:37:32] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.235 (7.235), Lt: 6.690 (6.690), Acc m&t: 1.71 2.55, Remain: 3 days, 5:51:48, Finish: 2024-11-25 08:29
[11-22 18:37:32] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.235 (7.235), Lt: 6.690 (6.690), Acc m&t: 1.71 2.55, Remain: 3 days, 5:53:23, Finish: 2024-11-25 08:30
[11-22 18:37:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:13:05 tlr: 0.00024 tnm: 0.53 Lm: 7.276 (7.276) Lt: 6.740 (6.740) Accm: 1.78 (1.78) Acct: 2.72 (2.72) proj_loss: -0.4483 (-0.4483) time: 0.4709 data: 0.0004
[11-22 18:37:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:13:33 tlr: 0.00024 tnm: 0.53 Lm: 7.280 (7.280) Lt: 6.718 (6.718) Accm: 1.60 (1.60) Acct: 2.20 (2.20) proj_loss: -0.4379 (-0.4379) time: 0.4871 data: 0.0004
[11-22 18:37:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:13:32 tlr: 0.00024 tnm: 0.53 Lm: 7.147 (7.147) Lt: 6.616 (6.616) Accm: 1.73 (1.73) Acct: 2.63 (2.63) proj_loss: -0.4673 (-0.4673) time: 0.4868 data: 0.0004
[11-22 18:37:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:13:33 tlr: 0.00024 tnm: 0.53 Lm: 7.178 (7.178) Lt: 6.620 (6.620) Accm: 1.66 (1.66) Acct: 2.55 (2.55) proj_loss: -0.4583 (-0.4583) time: 0.4877 data: 0.0004
[11-22 18:41:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.42 Lm: 7.187 (7.187) Lt: 6.637 (6.637) Accm: 1.76 (1.76) Acct: 2.56 (2.56) proj_loss: -0.4548 (-0.4548) time: 0.4835 data: 0.0003
[11-22 18:41:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.42 Lm: 7.191 (7.191) Lt: 6.621 (6.621) Accm: 1.69 (1.69) Acct: 2.57 (2.57) proj_loss: -0.4659 (-0.4659) time: 0.4835 data: 0.0003
[11-22 18:41:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.42 Lm: 7.236 (7.236) Lt: 6.668 (6.668) Accm: 1.85 (1.85) Acct: 2.74 (2.74) proj_loss: -0.4466 (-0.4466) time: 0.4835 data: 0.0002
[11-22 18:41:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.42 Lm: 7.182 (7.182) Lt: 6.618 (6.618) Accm: 1.89 (1.89) Acct: 2.91 (2.91) proj_loss: -0.4627 (-0.4627) time: 0.4835 data: 0.0003
[11-22 18:44:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.46 Lm: 7.275 (7.213) Lt: 6.740 (6.659) Accm: 1.78 (1.77) Acct: 2.72 (2.71) proj_loss: -0.4483 (-0.4558) time: 0.4860 data: 0.0003
[11-22 18:44:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.46 Lm: 7.178 (7.168) Lt: 6.620 (6.606) Accm: 1.77 (1.76) Acct: 2.57 (2.66) proj_loss: -0.4514 (-0.4451) time: 0.4860 data: 0.0002
[11-22 18:44:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.46 Lm: 7.195 (7.192) Lt: 6.627 (6.631) Accm: 1.73 (1.70) Acct: 2.55 (2.56) proj_loss: -0.4644 (-0.4570) time: 0.4860 data: 0.0003
[11-22 18:44:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.46 Lm: 7.255 (7.242) Lt: 6.718 (6.691) Accm: 1.75 (1.81) Acct: 2.69 (2.72) proj_loss: -0.4554 (-0.4511) time: 0.4860 data: 0.0002
[11-22 18:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:03:26 tlr: 0.00024 tnm: 0.53 Lm: 7.237 (7.237) Lt: 6.685 (6.682) Accm: 1.68 (1.76) Acct: 2.54 (2.64) proj_loss: -0.4530 (-0.4509) time: 0.4870 data: 0.0003
[11-22 18:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:03:26 tlr: 0.00024 tnm: 0.53 Lm: 7.182 (7.179) Lt: 6.636 (6.627) Accm: 1.89 (1.84) Acct: 2.91 (2.82) proj_loss: -0.4541 (-0.4568) time: 0.4869 data: 0.0003
[11-22 18:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:03:26 tlr: 0.00024 tnm: 0.53 Lm: 7.171 (7.181) Lt: 6.621 (6.619) Accm: 1.74 (1.76) Acct: 2.59 (2.64) proj_loss: -0.4519 (-0.4514) time: 0.4870 data: 0.0003
[11-22 18:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:03:26 tlr: 0.00024 tnm: 0.53 Lm: 7.181 (7.172) Lt: 6.633 (6.616) Accm: 1.81 (1.79) Acct: 2.65 (2.68) proj_loss: -0.4548 (-0.4522) time: 0.4870 data: 0.0003
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.180 (7.173) Lt: 6.620 (6.606) Accm: 1.77 (1.76) Acct: 2.67 (2.68) proj_loss: -0.4514 (-0.4516) time: 0.4842 data: 0.0015
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:13:42 (0.493 s / it)
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.089 (7.160) Lt: 6.532 (6.606) Accm: 1.92 (1.85) Acct: 2.94 (2.84) proj_loss: -0.4571 (-0.4569) time: 0.4842 data: 0.0016
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.220 (7.221) Lt: 6.652 (6.658) Accm: 1.75 (1.78) Acct: 2.69 (2.65) proj_loss: -0.4554 (-0.4520) time: 0.4842 data: 0.0017
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.195 (7.202) Lt: 6.627 (6.639) Accm: 1.73 (1.71) Acct: 2.55 (2.60) proj_loss: -0.4393 (-0.4489) time: 0.4842 data: 0.0018
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:13:42 (0.493 s / it)
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:13:42 (0.493 s / it)
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:13:42 (0.493 s / it)
[11-22 18:51:15] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.206 (7.206), Lt: 6.647 (6.647), Acc m&t: 1.75 2.65, Remain: 3 days, 5:03:05, Finish: 2024-11-25 07:54
[11-22 18:51:15] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.206 (7.206), Lt: 6.647 (6.647), Acc m&t: 1.75 2.65, Remain: 3 days, 5:03:58, Finish: 2024-11-25 07:55
[11-22 18:51:15] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.206 (7.206), Lt: 6.647 (6.647), Acc m&t: 1.75 2.65, Remain: 3 days, 5:04:06, Finish: 2024-11-25 07:55
[11-22 18:51:15] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.206 (7.206), Lt: 6.647 (6.647), Acc m&t: 1.75 2.65, Remain: 3 days, 5:01:10, Finish: 2024-11-25 07:52
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:13:29 tlr: 0.00024 tnm: 0.52 Lm: 7.155 (7.155) Lt: 6.611 (6.611) Accm: 2.09 (2.09) Acct: 3.19 (3.19) proj_loss: -0.4453 (-0.4453) time: 0.4848 data: 0.0004
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:13:29 tlr: 0.00024 tnm: 0.52 Lm: 7.214 (7.214) Lt: 6.642 (6.642) Accm: 1.69 (1.69) Acct: 2.55 (2.55) proj_loss: -0.4736 (-0.4736) time: 0.4850 data: 0.0003
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:12:47 tlr: 0.00024 tnm: 0.52 Lm: 7.224 (7.224) Lt: 6.694 (6.694) Accm: 1.62 (1.62) Acct: 2.50 (2.50) proj_loss: -0.4603 (-0.4603) time: 0.4601 data: 0.0004
[11-22 18:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:13:28 tlr: 0.00024 tnm: 0.52 Lm: 7.183 (7.183) Lt: 6.616 (6.616) Accm: 1.85 (1.85) Acct: 2.96 (2.96) proj_loss: -0.4505 (-0.4505) time: 0.4843 data: 0.0004
[11-22 18:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.48 Lm: 7.213 (7.213) Lt: 6.649 (6.649) Accm: 1.82 (1.82) Acct: 2.83 (2.83) proj_loss: -0.4514 (-0.4514) time: 0.4846 data: 0.0002
[11-22 18:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.48 Lm: 7.210 (7.210) Lt: 6.628 (6.628) Accm: 1.76 (1.76) Acct: 2.78 (2.78) proj_loss: -0.4546 (-0.4546) time: 0.4846 data: 0.0003
[11-22 18:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.48 Lm: 7.198 (7.198) Lt: 6.603 (6.603) Accm: 1.70 (1.70) Acct: 2.70 (2.70) proj_loss: -0.4636 (-0.4636) time: 0.4846 data: 0.0002
[11-22 18:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.48 Lm: 7.131 (7.131) Lt: 6.565 (6.565) Accm: 1.92 (1.92) Acct: 2.96 (2.96) proj_loss: -0.4557 (-0.4557) time: 0.4846 data: 0.0003
[11-22 18:58:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.47 Lm: 7.155 (7.151) Lt: 6.611 (6.591) Accm: 1.74 (1.85) Acct: 2.74 (2.84) proj_loss: -0.4575 (-0.4563) time: 0.4891 data: 0.0003
[11-22 18:58:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.47 Lm: 7.181 (7.172) Lt: 6.576 (6.594) Accm: 1.72 (1.78) Acct: 2.86 (2.84) proj_loss: -0.4736 (-0.4681) time: 0.4891 data: 0.0003
[11-22 18:58:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.47 Lm: 7.230 (7.219) Lt: 6.682 (6.666) Accm: 1.80 (1.78) Acct: 2.70 (2.78) proj_loss: -0.4523 (-0.4543) time: 0.4891 data: 0.0003
[11-22 18:58:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.47 Lm: 7.224 (7.225) Lt: 6.689 (6.648) Accm: 1.62 (1.66) Acct: 2.50 (2.62) proj_loss: -0.4603 (-0.4618) time: 0.4891 data: 0.0003
[11-22 19:01:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.44 Lm: 7.210 (7.206) Lt: 6.628 (6.628) Accm: 1.70 (1.69) Acct: 2.63 (2.65) proj_loss: -0.4683 (-0.4656) time: 0.4844 data: 0.0003
[11-22 19:01:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.44 Lm: 7.153 (7.160) Lt: 6.570 (6.582) Accm: 1.76 (1.79) Acct: 2.77 (2.80) proj_loss: -0.4753 (-0.4733) time: 0.4844 data: 0.0002
[11-22 19:01:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.44 Lm: 7.207 (7.208) Lt: 6.649 (6.647) Accm: 1.82 (1.83) Acct: 2.74 (2.78) proj_loss: -0.4549 (-0.4551) time: 0.4844 data: 0.0002
[11-22 19:01:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.44 Lm: 7.131 (7.133) Lt: 6.565 (6.554) Accm: 1.87 (1.89) Acct: 2.96 (2.95) proj_loss: -0.4514 (-0.4536) time: 0.4844 data: 0.0003
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.107 (7.101) Lt: 6.518 (6.521) Accm: 2.00 (1.93) Acct: 3.19 (3.01) proj_loss: -0.4575 (-0.4573) time: 0.4862 data: 0.0020
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:13:43 (0.494 s / it)
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.196 (7.195) Lt: 6.631 (6.629) Accm: 1.77 (1.70) Acct: 2.69 (2.66) proj_loss: -0.4673 (-0.4660) time: 0.4862 data: 0.0016
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.124 (7.150) Lt: 6.564 (6.562) Accm: 1.79 (1.83) Acct: 2.86 (2.86) proj_loss: -0.4771 (-0.4742) time: 0.4862 data: 0.0015
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.183 (7.178) Lt: 6.616 (6.614) Accm: 1.85 (1.90) Acct: 2.77 (2.87) proj_loss: -0.4576 (-0.4583) time: 0.4862 data: 0.0020
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:13:43 (0.494 s / it)
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:13:43 (0.494 s / it)
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:13:43 (0.494 s / it)
[11-22 19:04:59] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.166 (7.166), Lt: 6.590 (6.590), Acc m&t: 1.84 2.79, Remain: 3 days, 5:05:09, Finish: 2024-11-25 08:10
[11-22 19:04:59] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.166 (7.166), Lt: 6.590 (6.590), Acc m&t: 1.84 2.79, Remain: 3 days, 5:07:15, Finish: 2024-11-25 08:12
[11-22 19:04:59] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.166 (7.166), Lt: 6.590 (6.590), Acc m&t: 1.84 2.79, Remain: 3 days, 5:05:39, Finish: 2024-11-25 08:10
[11-22 19:04:59] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.166 (7.166), Lt: 6.590 (6.590), Acc m&t: 1.84 2.79, Remain: 3 days, 5:07:05, Finish: 2024-11-25 08:12
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:13:36 tlr: 0.00024 tnm: 0.45 Lm: 7.247 (7.247) Lt: 6.679 (6.679) Accm: 1.71 (1.71) Acct: 2.72 (2.72) proj_loss: -0.4643 (-0.4643) time: 0.4893 data: 0.0003
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:13:37 tlr: 0.00024 tnm: 0.45 Lm: 7.196 (7.196) Lt: 6.589 (6.589) Accm: 1.65 (1.65) Acct: 2.60 (2.60) proj_loss: -0.4707 (-0.4707) time: 0.4897 data: 0.0004
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:13:37 tlr: 0.00024 tnm: 0.45 Lm: 7.155 (7.155) Lt: 6.561 (6.561) Accm: 2.03 (2.03) Acct: 2.94 (2.94) proj_loss: -0.4725 (-0.4725) time: 0.4896 data: 0.0004
[11-22 19:04:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:13:39 tlr: 0.00024 tnm: 0.45 Lm: 7.093 (7.093) Lt: 6.499 (6.499) Accm: 2.22 (2.22) Acct: 3.55 (3.55) proj_loss: -0.4566 (-0.4566) time: 0.4909 data: 0.0004
[11-22 19:08:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.47 Lm: 7.111 (7.111) Lt: 6.531 (6.531) Accm: 2.11 (2.11) Acct: 3.20 (3.20) proj_loss: -0.4675 (-0.4675) time: 0.4894 data: 0.0003
[11-22 19:08:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.47 Lm: 7.183 (7.183) Lt: 6.583 (6.583) Accm: 1.69 (1.69) Acct: 2.63 (2.63) proj_loss: -0.4501 (-0.4501) time: 0.4894 data: 0.0003
[11-22 19:08:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.47 Lm: 7.180 (7.180) Lt: 6.599 (6.599) Accm: 1.81 (1.81) Acct: 2.82 (2.82) proj_loss: -0.4687 (-0.4687) time: 0.4894 data: 0.0003
[11-22 19:08:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.47 Lm: 7.119 (7.119) Lt: 6.516 (6.516) Accm: 1.95 (1.95) Acct: 2.83 (2.83) proj_loss: -0.4662 (-0.4662) time: 0.4894 data: 0.0003
[11-22 19:11:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.46 Lm: 7.155 (7.133) Lt: 6.561 (6.532) Accm: 1.93 (1.94) Acct: 2.94 (2.87) proj_loss: -0.4700 (-0.4675) time: 0.4861 data: 0.0003
[11-22 19:11:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.46 Lm: 7.129 (7.117) Lt: 6.536 (6.533) Accm: 1.99 (2.05) Acct: 3.06 (3.16) proj_loss: -0.4586 (-0.4646) time: 0.4861 data: 0.0003
[11-22 19:11:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.46 Lm: 7.170 (7.140) Lt: 6.578 (6.552) Accm: 1.73 (1.82) Acct: 2.65 (2.87) proj_loss: -0.4707 (-0.4589) time: 0.4861 data: 0.0002
[11-22 19:11:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.46 Lm: 7.174 (7.178) Lt: 6.525 (6.574) Accm: 1.71 (1.76) Acct: 2.72 (2.77) proj_loss: -0.4643 (-0.4667) time: 0.4861 data: 0.0003
[11-22 19:15:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.43 Lm: 7.144 (7.150) Lt: 6.522 (6.547) Accm: 1.78 (1.78) Acct: 2.75 (2.78) proj_loss: -0.4687 (-0.4694) time: 0.4870 data: 0.0003
[11-22 19:15:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.43 Lm: 7.129 (7.133) Lt: 6.550 (6.555) Accm: 2.00 (2.04) Acct: 3.00 (3.10) proj_loss: -0.4652 (-0.4664) time: 0.4870 data: 0.0003
[11-22 19:15:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.43 Lm: 7.119 (7.102) Lt: 6.516 (6.498) Accm: 1.98 (2.03) Acct: 2.94 (3.03) proj_loss: -0.4690 (-0.4676) time: 0.4870 data: 0.0002
[11-22 19:15:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.43 Lm: 7.113 (7.101) Lt: 6.534 (6.507) Accm: 1.91 (1.94) Acct: 3.00 (3.06) proj_loss: -0.4699 (-0.4615) time: 0.4870 data: 0.0002
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.141 (7.109) Lt: 6.514 (6.509) Accm: 1.89 (1.93) Acct: 2.81 (3.01) proj_loss: -0.4691 (-0.4614) time: 0.4903 data: 0.0022
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:13:34 (0.488 s / it)
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.114 (7.141) Lt: 6.519 (6.541) Accm: 1.85 (1.81) Acct: 2.79 (2.82) proj_loss: -0.4654 (-0.4686) time: 0.4903 data: 0.0018
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.129 (7.125) Lt: 6.536 (6.546) Accm: 1.99 (2.00) Acct: 2.94 (3.04) proj_loss: -0.4633 (-0.4657) time: 0.4903 data: 0.0016
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.155 (7.143) Lt: 6.561 (6.545) Accm: 1.93 (1.90) Acct: 2.94 (2.88) proj_loss: -0.4694 (-0.4680) time: 0.4903 data: 0.0016
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:13:34 (0.488 s / it)
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:13:34 (0.488 s / it)
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:13:34 (0.488 s / it)
[11-22 19:18:34] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.132 (7.132), Lt: 6.545 (6.545), Acc m&t: 1.92 2.90, Remain: 3 days, 5:15:28, Finish: 2024-11-25 08:34
[11-22 19:18:34] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.132 (7.132), Lt: 6.545 (6.545), Acc m&t: 1.92 2.90, Remain: 3 days, 5:15:29, Finish: 2024-11-25 08:34
[11-22 19:18:34] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.132 (7.132), Lt: 6.545 (6.545), Acc m&t: 1.92 2.90, Remain: 3 days, 5:15:01, Finish: 2024-11-25 08:33
[11-22 19:18:34] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.132 (7.132), Lt: 6.545 (6.545), Acc m&t: 1.92 2.90, Remain: 3 days, 5:14:34, Finish: 2024-11-25 08:33
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:12:35 tlr: 0.00024 tnm: 0.47 Lm: 7.174 (7.174) Lt: 6.582 (6.582) Accm: 1.68 (1.68) Acct: 2.46 (2.46) proj_loss: -0.4710 (-0.4710) time: 0.4528 data: 0.0003
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:12:35 tlr: 0.00024 tnm: 0.47 Lm: 7.056 (7.056) Lt: 6.484 (6.484) Accm: 2.00 (2.00) Acct: 3.06 (3.06) proj_loss: -0.4640 (-0.4640) time: 0.4525 data: 0.0003
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:12:34 tlr: 0.00024 tnm: 0.47 Lm: 7.137 (7.137) Lt: 6.566 (6.566) Accm: 1.80 (1.80) Acct: 2.70 (2.70) proj_loss: -0.4605 (-0.4605) time: 0.4522 data: 0.0004
[11-22 19:18:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:12:36 tlr: 0.00024 tnm: 0.47 Lm: 7.084 (7.084) Lt: 6.471 (6.471) Accm: 1.78 (1.78) Acct: 2.89 (2.89) proj_loss: -0.4370 (-0.4370) time: 0.4531 data: 0.0004
[11-22 19:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:10:49 tlr: 0.00024 tnm: 0.41 Lm: 7.130 (7.130) Lt: 6.540 (6.540) Accm: 1.78 (1.78) Acct: 2.71 (2.71) proj_loss: -0.4570 (-0.4570) time: 0.4876 data: 0.0003
[11-22 19:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:10:49 tlr: 0.00024 tnm: 0.41 Lm: 7.085 (7.085) Lt: 6.474 (6.474) Accm: 1.88 (1.88) Acct: 2.82 (2.82) proj_loss: -0.4524 (-0.4524) time: 0.4876 data: 0.0003
[11-22 19:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:10:49 tlr: 0.00024 tnm: 0.41 Lm: 7.145 (7.145) Lt: 6.551 (6.551) Accm: 1.76 (1.76) Acct: 2.54 (2.54) proj_loss: -0.4660 (-0.4660) time: 0.4876 data: 0.0003
[11-22 19:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:10:49 tlr: 0.00024 tnm: 0.41 Lm: 7.046 (7.046) Lt: 6.460 (6.460) Accm: 2.07 (2.07) Acct: 3.21 (3.21) proj_loss: -0.4598 (-0.4598) time: 0.4876 data: 0.0003
[11-22 19:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:06:59 tlr: 0.00024 tnm: 0.45 Lm: 7.036 (7.032) Lt: 6.436 (6.441) Accm: 2.13 (2.19) Acct: 3.36 (3.34) proj_loss: -0.4640 (-0.4636) time: 0.4816 data: 0.0003
[11-22 19:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:06:59 tlr: 0.00024 tnm: 0.45 Lm: 7.075 (7.081) Lt: 6.483 (6.477) Accm: 1.80 (1.85) Acct: 2.93 (2.87) proj_loss: -0.4605 (-0.4602) time: 0.4816 data: 0.0003
[11-22 19:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:06:59 tlr: 0.00024 tnm: 0.45 Lm: 7.118 (7.126) Lt: 6.540 (6.540) Accm: 1.78 (1.89) Acct: 2.89 (2.88) proj_loss: -0.4769 (-0.4654) time: 0.4817 data: 0.0002
[11-22 19:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:06:59 tlr: 0.00024 tnm: 0.45 Lm: 7.116 (7.127) Lt: 6.521 (6.524) Accm: 1.83 (1.87) Acct: 2.62 (2.78) proj_loss: -0.4610 (-0.4636) time: 0.4817 data: 0.0003
[11-22 19:28:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:03:28 tlr: 0.00024 tnm: 0.42 Lm: 7.145 (7.159) Lt: 6.551 (6.559) Accm: 1.80 (1.85) Acct: 2.59 (2.72) proj_loss: -0.4598 (-0.4617) time: 0.4904 data: 0.0003
[11-22 19:28:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:03:28 tlr: 0.00024 tnm: 0.42 Lm: 7.101 (7.106) Lt: 6.506 (6.519) Accm: 1.81 (1.88) Acct: 2.96 (2.92) proj_loss: -0.4684 (-0.4640) time: 0.4904 data: 0.0002
[11-22 19:28:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:03:28 tlr: 0.00024 tnm: 0.42 Lm: 7.046 (7.068) Lt: 6.460 (6.488) Accm: 2.07 (2.07) Acct: 3.21 (3.19) proj_loss: -0.4676 (-0.4657) time: 0.4904 data: 0.0003
[11-22 19:28:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:03:28 tlr: 0.00024 tnm: 0.42 Lm: 7.104 (7.094) Lt: 6.525 (6.501) Accm: 1.88 (1.87) Acct: 2.94 (2.89) proj_loss: -0.4671 (-0.4636) time: 0.4904 data: 0.0003
[11-22 19:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.075 (7.054) Lt: 6.483 (6.461) Accm: 1.95 (1.98) Acct: 2.94 (3.04) proj_loss: -0.4737 (-0.4674) time: 0.4902 data: 0.0016
[11-22 19:32:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:13:46 (0.495 s / it)
[11-22 19:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.118 (7.111) Lt: 6.500 (6.515) Accm: 1.84 (1.90) Acct: 3.03 (2.94) proj_loss: -0.4745 (-0.4661) time: 0.4902 data: 0.0014
[11-22 19:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.056 (7.077) Lt: 6.484 (6.495) Accm: 2.07 (2.07) Acct: 3.13 (3.17) proj_loss: -0.4712 (-0.4679) time: 0.4902 data: 0.0018
[11-22 19:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.116 (7.119) Lt: 6.521 (6.509) Accm: 1.83 (1.93) Acct: 2.62 (2.84) proj_loss: -0.4610 (-0.4662) time: 0.4902 data: 0.0016
[11-22 19:32:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:13:46 (0.495 s / it)
[11-22 19:32:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:13:46 (0.495 s / it)
[11-22 19:32:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:13:46 (0.495 s / it)
[11-22 19:32:20] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.113 (7.113), Lt: 6.516 (6.516), Acc m&t: 1.93 2.97, Remain: 3 days, 4:45:38, Finish: 2024-11-25 08:17
[11-22 19:32:20] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.113 (7.113), Lt: 6.516 (6.516), Acc m&t: 1.93 2.97, Remain: 3 days, 4:45:06, Finish: 2024-11-25 08:17
[11-22 19:32:20] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.113 (7.113), Lt: 6.516 (6.516), Acc m&t: 1.93 2.97, Remain: 3 days, 4:45:06, Finish: 2024-11-25 08:17
[11-22 19:32:20] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.113 (7.113), Lt: 6.516 (6.516), Acc m&t: 1.93 2.97, Remain: 3 days, 4:45:08, Finish: 2024-11-25 08:17
[11-22 19:32:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:12:46 tlr: 0.00024 tnm: 0.43 Lm: 7.086 (7.086) Lt: 6.421 (6.421) Accm: 2.21 (2.21) Acct: 3.58 (3.58) proj_loss: -0.4514 (-0.4514) time: 0.4593 data: 0.0004
[11-22 19:32:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:12:47 tlr: 0.00024 tnm: 0.43 Lm: 6.937 (6.937) Lt: 6.310 (6.310) Accm: 2.46 (2.46) Acct: 3.84 (3.84) proj_loss: -0.4881 (-0.4881) time: 0.4599 data: 0.0003
[11-22 19:32:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:12:48 tlr: 0.00024 tnm: 0.43 Lm: 6.945 (6.945) Lt: 6.286 (6.286) Accm: 2.24 (2.24) Acct: 3.55 (3.55) proj_loss: -0.4519 (-0.4519) time: 0.4605 data: 0.0004
[11-22 19:32:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:12:48 tlr: 0.00024 tnm: 0.43 Lm: 7.120 (7.120) Lt: 6.534 (6.534) Accm: 2.08 (2.08) Acct: 2.98 (2.98) proj_loss: -0.4626 (-0.4626) time: 0.4606 data: 0.0004
[11-22 19:35:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.52 Lm: 7.091 (7.091) Lt: 6.470 (6.470) Accm: 2.03 (2.03) Acct: 3.16 (3.16) proj_loss: -0.4657 (-0.4657) time: 0.4885 data: 0.0002
[11-22 19:35:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.52 Lm: 7.036 (7.036) Lt: 6.420 (6.420) Accm: 2.20 (2.20) Acct: 3.47 (3.47) proj_loss: -0.4672 (-0.4672) time: 0.4885 data: 0.0003
[11-22 19:35:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.52 Lm: 6.993 (6.993) Lt: 6.352 (6.352) Accm: 2.20 (2.20) Acct: 3.54 (3.54) proj_loss: -0.4617 (-0.4617) time: 0.4885 data: 0.0003
[11-22 19:35:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.52 Lm: 6.942 (6.942) Lt: 6.332 (6.332) Accm: 2.32 (2.32) Acct: 3.50 (3.50) proj_loss: -0.4849 (-0.4849) time: 0.4885 data: 0.0003
[11-22 19:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.46 Lm: 6.946 (6.997) Lt: 6.355 (6.364) Accm: 2.17 (2.22) Acct: 3.36 (3.45) proj_loss: -0.4817 (-0.4777) time: 0.4863 data: 0.0003
[11-22 19:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.46 Lm: 7.086 (7.055) Lt: 6.421 (6.442) Accm: 2.18 (2.15) Acct: 3.36 (3.36) proj_loss: -0.4710 (-0.4684) time: 0.4863 data: 0.0002
[11-22 19:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.46 Lm: 7.041 (7.040) Lt: 6.418 (6.415) Accm: 2.15 (2.08) Acct: 3.53 (3.29) proj_loss: -0.4558 (-0.4597) time: 0.4863 data: 0.0003
[11-22 19:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.46 Lm: 7.062 (7.080) Lt: 6.406 (6.443) Accm: 1.97 (2.01) Acct: 3.17 (3.16) proj_loss: -0.4626 (-0.4556) time: 0.4863 data: 0.0003
[11-22 19:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.42 Lm: 7.060 (7.071) Lt: 6.419 (6.440) Accm: 2.01 (2.02) Acct: 3.07 (3.11) proj_loss: -0.4552 (-0.4537) time: 0.5420 data: 0.0003
[11-22 19:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.42 Lm: 7.090 (7.095) Lt: 6.454 (6.490) Accm: 2.12 (2.11) Acct: 3.25 (3.25) proj_loss: -0.4727 (-0.4699) time: 0.5420 data: 0.0003
[11-22 19:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.42 Lm: 7.027 (7.035) Lt: 6.391 (6.406) Accm: 2.10 (2.16) Acct: 3.25 (3.28) proj_loss: -0.4752 (-0.4755) time: 0.5420 data: 0.0003
[11-22 19:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.42 Lm: 7.013 (7.027) Lt: 6.389 (6.401) Accm: 2.13 (2.09) Acct: 3.43 (3.30) proj_loss: -0.4637 (-0.4640) time: 0.5420 data: 0.0003
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.024 (7.026) Lt: 6.418 (6.410) Accm: 2.15 (2.10) Acct: 3.34 (3.28) proj_loss: -0.4558 (-0.4614) time: 0.4905 data: 0.0019
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:13:49 (0.497 s / it)
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.091 (7.094) Lt: 6.480 (6.488) Accm: 2.07 (2.06) Acct: 3.13 (3.20) proj_loss: -0.4710 (-0.4687) time: 0.4905 data: 0.0015
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.005 (7.029) Lt: 6.420 (6.409) Accm: 2.17 (2.24) Acct: 3.36 (3.40) proj_loss: -0.4760 (-0.4756) time: 0.4905 data: 0.0017
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.058 (7.068) Lt: 6.432 (6.450) Accm: 2.05 (2.06) Acct: 3.17 (3.19) proj_loss: -0.4626 (-0.4569) time: 0.4905 data: 0.0020
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:13:49 (0.497 s / it)
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:13:49 (0.497 s / it)
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:13:49 (0.497 s / it)
[11-22 19:46:10] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.060 (7.060), Lt: 6.450 (6.450), Acc m&t: 2.05 3.13, Remain: 3 days, 4:40:45, Finish: 2024-11-25 08:26
[11-22 19:46:10] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.060 (7.060), Lt: 6.450 (6.450), Acc m&t: 2.05 3.13, Remain: 3 days, 4:38:56, Finish: 2024-11-25 08:25
[11-22 19:46:10] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.060 (7.060), Lt: 6.450 (6.450), Acc m&t: 2.05 3.13, Remain: 3 days, 4:39:40, Finish: 2024-11-25 08:25
[11-22 19:46:10] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.060 (7.060), Lt: 6.450 (6.450), Acc m&t: 2.05 3.13, Remain: 3 days, 4:37:45, Finish: 2024-11-25 08:23
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:13:38 tlr: 0.00024 tnm: 0.46 Lm: 6.829 (6.829) Lt: 6.203 (6.203) Accm: 2.44 (2.44) Acct: 3.82 (3.82) proj_loss: -0.4607 (-0.4607) time: 0.4903 data: 0.0003
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:13:39 tlr: 0.00024 tnm: 0.46 Lm: 7.168 (7.168) Lt: 6.577 (6.577) Accm: 1.68 (1.68) Acct: 2.63 (2.63) proj_loss: -0.4742 (-0.4742) time: 0.4913 data: 0.0004
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:13:38 tlr: 0.00024 tnm: 0.46 Lm: 6.961 (6.961) Lt: 6.325 (6.325) Accm: 2.22 (2.22) Acct: 3.36 (3.36) proj_loss: -0.4721 (-0.4721) time: 0.4903 data: 0.0004
[11-22 19:46:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:13:41 tlr: 0.00024 tnm: 0.46 Lm: 7.027 (7.027) Lt: 6.375 (6.375) Accm: 2.12 (2.12) Acct: 3.32 (3.32) proj_loss: -0.4631 (-0.4631) time: 0.4921 data: 0.0004
[11-22 19:49:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 7.043 (7.043) Lt: 6.442 (6.442) Accm: 2.08 (2.08) Acct: 3.33 (3.33) proj_loss: -0.4589 (-0.4589) time: 0.4845 data: 0.0002
[11-22 19:49:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 6.955 (6.955) Lt: 6.318 (6.318) Accm: 2.19 (2.19) Acct: 3.36 (3.36) proj_loss: -0.4776 (-0.4776) time: 0.4845 data: 0.0003
[11-22 19:49:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 7.139 (7.139) Lt: 6.535 (6.535) Accm: 1.84 (1.84) Acct: 2.87 (2.87) proj_loss: -0.4644 (-0.4644) time: 0.4845 data: 0.0003
[11-22 19:49:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 7.039 (7.039) Lt: 6.395 (6.395) Accm: 2.03 (2.03) Acct: 3.19 (3.19) proj_loss: -0.4626 (-0.4626) time: 0.4846 data: 0.0003
[11-22 19:52:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.44 Lm: 7.050 (7.043) Lt: 6.415 (6.411) Accm: 2.05 (2.03) Acct: 3.22 (3.20) proj_loss: -0.4631 (-0.4722) time: 0.4876 data: 0.0003
[11-22 19:52:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.44 Lm: 6.961 (6.996) Lt: 6.325 (6.394) Accm: 2.16 (2.17) Acct: 3.36 (3.20) proj_loss: -0.4832 (-0.4829) time: 0.4876 data: 0.0003
[11-22 19:52:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.44 Lm: 6.992 (7.026) Lt: 6.332 (6.405) Accm: 2.07 (2.07) Acct: 3.12 (3.26) proj_loss: -0.4607 (-0.4618) time: 0.4876 data: 0.0002
[11-22 19:52:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.44 Lm: 7.153 (7.144) Lt: 6.536 (6.535) Accm: 1.73 (1.80) Acct: 2.63 (2.78) proj_loss: -0.4574 (-0.4621) time: 0.4876 data: 0.0003
[11-22 19:56:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.42 Lm: 7.132 (7.128) Lt: 6.514 (6.522) Accm: 1.84 (1.84) Acct: 2.80 (2.82) proj_loss: -0.4658 (-0.4678) time: 0.4879 data: 0.0003
[11-22 19:56:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.42 Lm: 7.019 (7.034) Lt: 6.422 (6.425) Accm: 2.14 (2.10) Acct: 3.20 (3.16) proj_loss: -0.4776 (-0.4792) time: 0.4879 data: 0.0003
[11-22 19:56:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.42 Lm: 6.982 (7.013) Lt: 6.331 (6.387) Accm: 2.11 (2.09) Acct: 3.34 (3.34) proj_loss: -0.4641 (-0.4667) time: 0.4879 data: 0.0002
[11-22 19:56:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.42 Lm: 7.052 (7.049) Lt: 6.428 (6.420) Accm: 2.09 (2.08) Acct: 3.24 (3.22) proj_loss: -0.4718 (-0.4743) time: 0.4879 data: 0.0003
[11-22 19:59:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.050 (7.030) Lt: 6.415 (6.400) Accm: 2.12 (2.14) Acct: 3.25 (3.29) proj_loss: -0.4805 (-0.4788) time: 0.5452 data: 0.0017
[11-22 19:59:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:13:35 (0.489 s / it)
[11-22 19:59:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 6.992 (7.013) Lt: 6.332 (6.379) Accm: 2.14 (2.13) Acct: 3.56 (3.41) proj_loss: -0.4607 (-0.4653) time: 0.5453 data: 0.0020
[11-22 19:59:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 6.961 (7.019) Lt: 6.342 (6.409) Accm: 2.13 (2.10) Acct: 3.19 (3.17) proj_loss: -0.4721 (-0.4764) time: 0.5453 data: 0.0015
[11-22 19:59:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.110 (7.100) Lt: 6.493 (6.473) Accm: 1.95 (1.89) Acct: 2.96 (2.91) proj_loss: -0.4742 (-0.4712) time: 0.5452 data: 0.0015
[11-22 19:59:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:13:35 (0.489 s / it)
[11-22 19:59:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:13:35 (0.489 s / it)
[11-22 19:59:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:13:35 (0.489 s / it)
[11-22 19:59:45] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.060 (7.061), Lt: 6.447 (6.447), Acc m&t: 2.05 3.16, Remain: 3 days, 4:39:46, Finish: 2024-11-25 08:39
[11-22 19:59:45] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.060 (7.061), Lt: 6.447 (6.447), Acc m&t: 2.05 3.16, Remain: 3 days, 4:41:20, Finish: 2024-11-25 08:41
[11-22 19:59:45] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.060 (7.061), Lt: 6.447 (6.447), Acc m&t: 2.05 3.16, Remain: 3 days, 4:40:59, Finish: 2024-11-25 08:40
[11-22 19:59:45] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.060 (7.061), Lt: 6.447 (6.447), Acc m&t: 2.05 3.16, Remain: 3 days, 4:40:48, Finish: 2024-11-25 08:40
[11-22 19:59:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:12:45 tlr: 0.00024 tnm: 0.42 Lm: 6.853 (6.853) Lt: 6.207 (6.207) Accm: 2.48 (2.48) Acct: 3.56 (3.56) proj_loss: -0.4729 (-0.4729) time: 0.4586 data: 0.0003
[11-22 19:59:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:12:45 tlr: 0.00024 tnm: 0.42 Lm: 7.101 (7.101) Lt: 6.481 (6.481) Accm: 2.16 (2.16) Acct: 3.32 (3.32) proj_loss: -0.4759 (-0.4759) time: 0.4587 data: 0.0004
[11-22 19:59:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:12:44 tlr: 0.00024 tnm: 0.42 Lm: 7.046 (7.046) Lt: 6.457 (6.457) Accm: 2.11 (2.11) Acct: 3.32 (3.32) proj_loss: -0.4701 (-0.4701) time: 0.4583 data: 0.0004
[11-22 19:59:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:12:47 tlr: 0.00024 tnm: 0.42 Lm: 6.981 (6.981) Lt: 6.343 (6.343) Accm: 2.16 (2.16) Acct: 3.25 (3.25) proj_loss: -0.4731 (-0.4731) time: 0.4596 data: 0.0003
[11-22 20:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:10:48 tlr: 0.00024 tnm: 0.37 Lm: 6.948 (6.948) Lt: 6.308 (6.308) Accm: 2.24 (2.24) Acct: 3.48 (3.48) proj_loss: -0.4821 (-0.4821) time: 0.4859 data: 0.0003
[11-22 20:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:10:48 tlr: 0.00024 tnm: 0.37 Lm: 6.945 (6.945) Lt: 6.321 (6.321) Accm: 2.25 (2.25) Acct: 3.26 (3.26) proj_loss: -0.4768 (-0.4768) time: 0.4859 data: 0.0002
[11-22 20:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:10:48 tlr: 0.00024 tnm: 0.37 Lm: 7.135 (7.135) Lt: 6.516 (6.516) Accm: 2.02 (2.02) Acct: 3.04 (3.04) proj_loss: -0.4783 (-0.4783) time: 0.4859 data: 0.0003
[11-22 20:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:10:48 tlr: 0.00024 tnm: 0.37 Lm: 7.077 (7.077) Lt: 6.488 (6.488) Accm: 2.03 (2.03) Acct: 3.13 (3.13) proj_loss: -0.4729 (-0.4729) time: 0.4859 data: 0.0003
[11-22 20:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:07:03 tlr: 0.00024 tnm: 0.39 Lm: 7.053 (7.069) Lt: 6.457 (6.464) Accm: 2.11 (2.10) Acct: 3.32 (3.24) proj_loss: -0.4733 (-0.4730) time: 0.4863 data: 0.0003
[11-22 20:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:07:03 tlr: 0.00024 tnm: 0.39 Lm: 7.037 (6.999) Lt: 6.436 (6.381) Accm: 2.03 (2.09) Acct: 3.01 (3.18) proj_loss: -0.4729 (-0.4711) time: 0.4863 data: 0.0002
[11-22 20:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:07:03 tlr: 0.00024 tnm: 0.39 Lm: 7.107 (7.126) Lt: 6.515 (6.516) Accm: 1.94 (1.99) Acct: 2.82 (2.97) proj_loss: -0.4807 (-0.4807) time: 0.4863 data: 0.0002
[11-22 20:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:07:03 tlr: 0.00024 tnm: 0.39 Lm: 6.981 (6.970) Lt: 6.343 (6.340) Accm: 2.16 (2.20) Acct: 3.25 (3.39) proj_loss: -0.4859 (-0.4834) time: 0.4863 data: 0.0003
[11-22 20:10:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:03:29 tlr: 0.00024 tnm: 0.40 Lm: 6.948 (6.931) Lt: 6.308 (6.290) Accm: 2.24 (2.27) Acct: 3.48 (3.59) proj_loss: -0.4847 (-0.4834) time: 0.4919 data: 0.0003
[11-22 20:10:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:03:29 tlr: 0.00024 tnm: 0.40 Lm: 7.042 (7.011) Lt: 6.413 (6.383) Accm: 2.10 (2.11) Acct: 3.29 (3.28) proj_loss: -0.4768 (-0.4776) time: 0.4919 data: 0.0002
[11-22 20:10:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:03:29 tlr: 0.00024 tnm: 0.40 Lm: 7.104 (7.094) Lt: 6.498 (6.463) Accm: 2.00 (2.01) Acct: 3.07 (3.07) proj_loss: -0.4783 (-0.4738) time: 0.4919 data: 0.0002
[11-22 20:10:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:03:29 tlr: 0.00024 tnm: 0.40 Lm: 7.068 (7.073) Lt: 6.461 (6.464) Accm: 2.03 (2.06) Acct: 3.17 (3.18) proj_loss: -0.4717 (-0.4668) time: 0.4919 data: 0.0003
[11-22 20:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 6.981 (6.982) Lt: 6.343 (6.350) Accm: 2.16 (2.18) Acct: 3.25 (3.40) proj_loss: -0.4835 (-0.4812) time: 0.4869 data: 0.0016
[11-22 20:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.037 (6.985) Lt: 6.390 (6.362) Accm: 2.17 (2.17) Acct: 3.56 (3.35) proj_loss: -0.4807 (-0.4799) time: 0.4870 data: 0.0015
[11-22 20:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.101 (7.087) Lt: 6.481 (6.454) Accm: 2.07 (2.03) Acct: 3.06 (3.07) proj_loss: -0.4759 (-0.4742) time: 0.4870 data: 0.0015
[11-22 20:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.053 (7.060) Lt: 6.457 (6.440) Accm: 2.11 (2.08) Acct: 3.27 (3.20) proj_loss: -0.4733 (-0.4709) time: 0.4870 data: 0.0016
[11-22 20:13:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:13:49 (0.497 s / it)
[11-22 20:13:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:13:49 (0.497 s / it)
[11-22 20:13:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:13:49 (0.497 s / it)
[11-22 20:13:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:13:49 (0.497 s / it)
[11-22 20:13:34] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.035 (7.035), Lt: 6.412 (6.412), Acc m&t: 2.11 3.24, Remain: 3 days, 4:03:11, Finish: 2024-11-25 08:16
[11-22 20:13:34] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.035 (7.035), Lt: 6.412 (6.412), Acc m&t: 2.11 3.24, Remain: 3 days, 4:01:23, Finish: 2024-11-25 08:14
[11-22 20:13:34] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.035 (7.035), Lt: 6.412 (6.412), Acc m&t: 2.11 3.24, Remain: 3 days, 4:00:48, Finish: 2024-11-25 08:14
[11-22 20:13:34] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.035 (7.035), Lt: 6.412 (6.412), Acc m&t: 2.11 3.24, Remain: 3 days, 4:01:59, Finish: 2024-11-25 08:15
[11-22 20:13:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:12:42 tlr: 0.00024 tnm: 0.36 Lm: 7.036 (7.036) Lt: 6.402 (6.402) Accm: 2.24 (2.24) Acct: 3.41 (3.41) proj_loss: -0.4858 (-0.4858) time: 0.4571 data: 0.0003
[11-22 20:13:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:13:12 tlr: 0.00024 tnm: 0.36 Lm: 7.002 (7.002) Lt: 6.377 (6.377) Accm: 2.32 (2.32) Acct: 3.43 (3.43) proj_loss: -0.4850 (-0.4850) time: 0.4749 data: 0.0004
[11-22 20:13:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:13:12 tlr: 0.00024 tnm: 0.36 Lm: 6.970 (6.970) Lt: 6.328 (6.328) Accm: 2.17 (2.17) Acct: 3.60 (3.60) proj_loss: -0.4732 (-0.4732) time: 0.4750 data: 0.0004
[11-22 20:13:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:13:13 tlr: 0.00024 tnm: 0.36 Lm: 7.005 (7.005) Lt: 6.386 (6.386) Accm: 2.02 (2.02) Acct: 3.24 (3.24) proj_loss: -0.4815 (-0.4815) time: 0.4756 data: 0.0004
[11-22 20:16:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.43 Lm: 6.993 (6.993) Lt: 6.369 (6.369) Accm: 2.13 (2.13) Acct: 3.19 (3.19) proj_loss: -0.4815 (-0.4815) time: 0.4853 data: 0.0002
[11-22 20:16:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.43 Lm: 7.054 (7.054) Lt: 6.443 (6.443) Accm: 2.04 (2.04) Acct: 3.26 (3.26) proj_loss: -0.4823 (-0.4823) time: 0.4853 data: 0.0002
[11-22 20:16:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.43 Lm: 7.003 (7.003) Lt: 6.383 (6.383) Accm: 2.24 (2.24) Acct: 3.27 (3.27) proj_loss: -0.4811 (-0.4811) time: 0.4853 data: 0.0002
[11-22 20:16:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.43 Lm: 6.997 (6.997) Lt: 6.366 (6.366) Accm: 2.30 (2.30) Acct: 3.43 (3.43) proj_loss: -0.4814 (-0.4814) time: 0.4853 data: 0.0002
[11-22 20:20:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.38 Lm: 7.002 (7.000) Lt: 6.358 (6.363) Accm: 2.32 (2.34) Acct: 3.44 (3.56) proj_loss: -0.4850 (-0.4880) time: 0.4891 data: 0.0002
[11-22 20:20:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.38 Lm: 7.005 (6.999) Lt: 6.351 (6.361) Accm: 2.02 (2.08) Acct: 3.15 (3.09) proj_loss: -0.4815 (-0.4780) time: 0.4891 data: 0.0002
[11-22 20:20:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.38 Lm: 7.036 (7.035) Lt: 6.402 (6.419) Accm: 2.23 (2.09) Acct: 3.13 (3.10) proj_loss: -0.4775 (-0.4799) time: 0.4891 data: 0.0002
[11-22 20:20:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.38 Lm: 6.970 (7.005) Lt: 6.328 (6.391) Accm: 2.17 (2.24) Acct: 3.60 (3.49) proj_loss: -0.4780 (-0.4809) time: 0.4891 data: 0.0003
[11-22 20:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:03:29 tlr: 0.00024 tnm: 0.39 Lm: 7.012 (7.017) Lt: 6.394 (6.408) Accm: 2.08 (2.18) Acct: 3.26 (3.34) proj_loss: -0.4797 (-0.4810) time: 0.4896 data: 0.0003
[11-22 20:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:03:29 tlr: 0.00024 tnm: 0.39 Lm: 7.003 (7.016) Lt: 6.368 (6.379) Accm: 2.30 (2.24) Acct: 3.43 (3.46) proj_loss: -0.4814 (-0.4835) time: 0.4895 data: 0.0003
[11-22 20:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:03:29 tlr: 0.00024 tnm: 0.39 Lm: 7.018 (7.026) Lt: 6.383 (6.399) Accm: 2.12 (2.07) Acct: 3.21 (3.15) proj_loss: -0.4769 (-0.4748) time: 0.4896 data: 0.0003
[11-22 20:24:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:03:29 tlr: 0.00024 tnm: 0.39 Lm: 7.008 (7.003) Lt: 6.349 (6.357) Accm: 2.06 (2.08) Acct: 3.19 (3.15) proj_loss: -0.4815 (-0.4789) time: 0.4895 data: 0.0003
[11-22 20:27:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.005 (6.999) Lt: 6.351 (6.358) Accm: 2.10 (2.10) Acct: 3.24 (3.17) proj_loss: -0.4815 (-0.4794) time: 0.4916 data: 0.0020
[11-22 20:27:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:13:51 (0.498 s / it)
[11-22 20:27:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.036 (7.033) Lt: 6.399 (6.399) Accm: 2.09 (2.07) Acct: 3.29 (3.20) proj_loss: -0.4775 (-0.4783) time: 0.4916 data: 0.0016
[11-22 20:27:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 6.970 (6.983) Lt: 6.328 (6.369) Accm: 2.17 (2.26) Acct: 3.60 (3.48) proj_loss: -0.4814 (-0.4826) time: 0.4916 data: 0.0016
[11-22 20:27:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.004 (7.022) Lt: 6.377 (6.389) Accm: 2.28 (2.22) Acct: 3.43 (3.42) proj_loss: -0.4850 (-0.4844) time: 0.4916 data: 0.0014
[11-22 20:27:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:13:51 (0.498 s / it)
[11-22 20:27:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:13:51 (0.498 s / it)
[11-22 20:27:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:13:51 (0.498 s / it)
[11-22 20:27:26] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.017 (7.017), Lt: 6.389 (6.389), Acc m&t: 2.15 3.32, Remain: 3 days, 4:19:33, Finish: 2024-11-25 08:46
[11-22 20:27:26] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.017 (7.017), Lt: 6.389 (6.389), Acc m&t: 2.15 3.32, Remain: 3 days, 4:18:32, Finish: 2024-11-25 08:45
[11-22 20:27:26] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.017 (7.017), Lt: 6.389 (6.389), Acc m&t: 2.15 3.32, Remain: 3 days, 4:19:24, Finish: 2024-11-25 08:46
[11-22 20:27:26] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.017 (7.017), Lt: 6.389 (6.389), Acc m&t: 2.15 3.32, Remain: 3 days, 4:19:18, Finish: 2024-11-25 08:46
[11-22 20:27:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:13:13 tlr: 0.00024 tnm: 0.39 Lm: 7.052 (7.052) Lt: 6.384 (6.384) Accm: 2.13 (2.13) Acct: 3.37 (3.37) proj_loss: -0.4473 (-0.4473) time: 0.4752 data: 0.0003
[11-22 20:27:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:13:13 tlr: 0.00024 tnm: 0.39 Lm: 7.037 (7.037) Lt: 6.434 (6.434) Accm: 2.35 (2.35) Acct: 3.55 (3.55) proj_loss: -0.4784 (-0.4784) time: 0.4756 data: 0.0003
[11-22 20:27:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:13:13 tlr: 0.00024 tnm: 0.39 Lm: 7.026 (7.026) Lt: 6.405 (6.405) Accm: 1.87 (1.87) Acct: 2.77 (2.77) proj_loss: -0.4740 (-0.4740) time: 0.4752 data: 0.0004
[11-22 20:27:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:13:12 tlr: 0.00024 tnm: 0.39 Lm: 7.127 (7.127) Lt: 6.535 (6.535) Accm: 2.05 (2.05) Acct: 3.03 (3.03) proj_loss: -0.4851 (-0.4851) time: 0.4750 data: 0.0004
[11-22 20:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 7.018 (7.018) Lt: 6.398 (6.398) Accm: 2.20 (2.20) Acct: 3.37 (3.37) proj_loss: -0.4770 (-0.4770) time: 0.4861 data: 0.0002
[11-22 20:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 7.019 (7.019) Lt: 6.390 (6.390) Accm: 2.21 (2.21) Acct: 3.47 (3.47) proj_loss: -0.4815 (-0.4815) time: 0.4861 data: 0.0002
[11-22 20:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 7.090 (7.090) Lt: 6.483 (6.483) Accm: 1.93 (1.93) Acct: 2.95 (2.95) proj_loss: -0.4887 (-0.4887) time: 0.4861 data: 0.0003
[11-22 20:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 7.047 (7.047) Lt: 6.403 (6.403) Accm: 2.11 (2.11) Acct: 3.41 (3.41) proj_loss: -0.4681 (-0.4681) time: 0.4861 data: 0.0002
[11-22 20:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.37 Lm: 7.042 (7.023) Lt: 6.384 (6.370) Accm: 2.13 (2.14) Acct: 3.37 (3.36) proj_loss: -0.4703 (-0.4688) time: 0.4903 data: 0.0002
[11-22 20:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.37 Lm: 7.079 (7.086) Lt: 6.423 (6.463) Accm: 1.87 (1.88) Acct: 2.96 (2.96) proj_loss: -0.4988 (-0.4920) time: 0.4903 data: 0.0003
[11-22 20:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.37 Lm: 7.037 (7.028) Lt: 6.434 (6.416) Accm: 2.29 (2.24) Acct: 3.55 (3.51) proj_loss: -0.4807 (-0.4812) time: 0.4903 data: 0.0002
[11-22 20:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.37 Lm: 7.092 (7.043) Lt: 6.462 (6.419) Accm: 2.05 (2.06) Acct: 3.15 (3.29) proj_loss: -0.4851 (-0.4806) time: 0.4903 data: 0.0003
[11-22 20:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.37 Lm: 7.014 (7.016) Lt: 6.371 (6.384) Accm: 2.15 (2.10) Acct: 3.36 (3.36) proj_loss: -0.4864 (-0.4826) time: 0.4861 data: 0.0003
[11-22 20:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.37 Lm: 7.008 (7.003) Lt: 6.344 (6.341) Accm: 2.16 (2.22) Acct: 3.41 (3.47) proj_loss: -0.4779 (-0.4730) time: 0.4861 data: 0.0002
[11-22 20:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.37 Lm: 7.052 (7.040) Lt: 6.414 (6.406) Accm: 1.93 (2.05) Acct: 3.05 (3.19) proj_loss: -0.5010 (-0.4948) time: 0.4861 data: 0.0003
[11-22 20:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.37 Lm: 7.042 (7.042) Lt: 6.446 (6.426) Accm: 2.18 (2.18) Acct: 3.47 (3.39) proj_loss: -0.4795 (-0.4779) time: 0.4861 data: 0.0003
[11-22 20:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.037 (7.015) Lt: 6.434 (6.383) Accm: 2.29 (2.25) Acct: 3.55 (3.48) proj_loss: -0.4802 (-0.4784) time: 0.4878 data: 0.0020
[11-22 20:41:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:13:47 (0.496 s / it)
[11-22 20:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.974 (6.992) Lt: 6.305 (6.334) Accm: 2.19 (2.27) Acct: 3.44 (3.55) proj_loss: -0.4839 (-0.4752) time: 0.4878 data: 0.0014
[11-22 20:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.936 (6.993) Lt: 6.279 (6.362) Accm: 2.24 (2.16) Acct: 3.56 (3.44) proj_loss: -0.4877 (-0.4850) time: 0.4879 data: 0.0020
[11-22 20:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.026 (7.028) Lt: 6.405 (6.396) Accm: 2.00 (2.10) Acct: 3.13 (3.27) proj_loss: -0.4988 (-0.4953) time: 0.4878 data: 0.0017
[11-22 20:41:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:13:47 (0.496 s / it)
[11-22 20:41:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:13:47 (0.496 s / it)
[11-22 20:41:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:13:47 (0.496 s / it)
[11-22 20:43:25] (home/user/VAR/trainer.py, line 114)=> FID: 9.123368441893263
[11-22 20:43:26] (/home/user/VAR/train.py , line 259)=> [*] [ep19] (val 50000) Lm: 7.0048, Lt: 6.3695, Acc m&t: 2.16 3.35, Val cost: 131.54s
[11-22 20:43:26] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-22 20:43:48] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.005 (7.005), Lt: 6.370 (6.370), Acc m&t: 2.16 3.35, Remain: 3 days, 3:34:27, Finish: 2024-11-25 08:15
[11-22 20:43:48] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.005 (7.005), Lt: 6.370 (6.370), Acc m&t: 2.16 3.35, Remain: 3 days, 3:38:14, Finish: 2024-11-25 08:19
[11-22 20:43:48] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.005 (7.005), Lt: 6.370 (6.370), Acc m&t: 2.16 3.35, Remain: 3 days, 3:38:28, Finish: 2024-11-25 08:19
[11-22 20:43:48] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.005 (7.005), Lt: 6.370 (6.370), Acc m&t: 2.16 3.35, Remain: 3 days, 3:37:17, Finish: 2024-11-25 08:18
[11-22 20:43:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:13:50 tlr: 0.00024 tnm: 0.40 Lm: 6.890 (6.890) Lt: 6.281 (6.281) Accm: 2.23 (2.23) Acct: 3.75 (3.75) proj_loss: -0.5023 (-0.5023) time: 0.4977 data: 0.0003
[11-22 20:43:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:13:49 tlr: 0.00024 tnm: 0.40 Lm: 6.876 (6.876) Lt: 6.252 (6.252) Accm: 2.65 (2.65) Acct: 4.15 (4.15) proj_loss: -0.4715 (-0.4715) time: 0.4967 data: 0.0004
[11-22 20:43:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:13:47 tlr: 0.00024 tnm: 0.40 Lm: 7.064 (7.064) Lt: 6.407 (6.407) Accm: 2.02 (2.02) Acct: 3.43 (3.43) proj_loss: -0.4927 (-0.4927) time: 0.4955 data: 0.0004
[11-22 20:43:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:13:53 tlr: 0.00024 tnm: 0.40 Lm: 6.904 (6.904) Lt: 6.227 (6.227) Accm: 2.45 (2.45) Acct: 3.94 (3.94) proj_loss: -0.4820 (-0.4820) time: 0.4991 data: 0.0003
[11-22 20:47:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.40 Lm: 6.912 (6.912) Lt: 6.218 (6.218) Accm: 2.43 (2.43) Acct: 3.90 (3.90) proj_loss: -0.4818 (-0.4818) time: 0.4849 data: 0.0003
[11-22 20:47:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.40 Lm: 6.946 (6.946) Lt: 6.341 (6.341) Accm: 2.17 (2.17) Acct: 3.51 (3.51) proj_loss: -0.4933 (-0.4933) time: 0.4849 data: 0.0002
[11-22 20:47:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.40 Lm: 6.980 (6.980) Lt: 6.358 (6.358) Accm: 2.35 (2.35) Acct: 3.81 (3.81) proj_loss: -0.4777 (-0.4777) time: 0.4849 data: 0.0002
[11-22 20:47:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.40 Lm: 6.991 (6.991) Lt: 6.352 (6.352) Accm: 2.27 (2.27) Acct: 3.72 (3.72) proj_loss: -0.4891 (-0.4891) time: 0.4849 data: 0.0002
[11-22 20:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.35 Lm: 7.035 (7.006) Lt: 6.332 (6.345) Accm: 2.14 (2.23) Acct: 3.53 (3.66) proj_loss: -0.4856 (-0.4875) time: 0.4865 data: 0.0003
[11-22 20:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.35 Lm: 6.956 (6.950) Lt: 6.311 (6.331) Accm: 2.20 (2.18) Acct: 3.50 (3.51) proj_loss: -0.4843 (-0.4874) time: 0.4865 data: 0.0002
[11-22 20:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.35 Lm: 6.935 (6.965) Lt: 6.272 (6.329) Accm: 2.31 (2.34) Acct: 3.86 (3.82) proj_loss: -0.4840 (-0.4815) time: 0.4865 data: 0.0002
[11-22 20:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.35 Lm: 6.904 (6.908) Lt: 6.227 (6.243) Accm: 2.42 (2.36) Acct: 3.86 (3.67) proj_loss: -0.4820 (-0.4831) time: 0.4865 data: 0.0003
[11-22 20:53:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.37 Lm: 6.912 (6.941) Lt: 6.260 (6.270) Accm: 2.32 (2.30) Acct: 3.72 (3.65) proj_loss: -0.4838 (-0.4839) time: 0.4853 data: 0.0003
[11-22 20:53:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.37 Lm: 6.979 (6.983) Lt: 6.356 (6.359) Accm: 2.16 (2.14) Acct: 3.38 (3.40) proj_loss: -0.4800 (-0.4842) time: 0.4853 data: 0.0002
[11-22 20:53:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.37 Lm: 6.982 (6.981) Lt: 6.334 (6.346) Accm: 2.24 (2.30) Acct: 3.66 (3.68) proj_loss: -0.4809 (-0.4806) time: 0.4853 data: 0.0002
[11-22 20:53:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.37 Lm: 6.983 (6.987) Lt: 6.314 (6.330) Accm: 2.24 (2.25) Acct: 3.62 (3.67) proj_loss: -0.4878 (-0.4882) time: 0.4853 data: 0.0003
[11-22 20:57:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.931 (6.962) Lt: 6.296 (6.298) Accm: 2.21 (2.25) Acct: 3.65 (3.66) proj_loss: -0.4865 (-0.4878) time: 0.4877 data: 0.0019
[11-22 20:57:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.028 (6.991) Lt: 6.397 (6.366) Accm: 2.17 (2.26) Acct: 3.46 (3.54) proj_loss: -0.4808 (-0.4806) time: 0.4877 data: 0.0017
[11-22 20:57:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.921 (6.949) Lt: 6.293 (6.296) Accm: 2.24 (2.29) Acct: 3.58 (3.59) proj_loss: -0.4857 (-0.4877) time: 0.4877 data: 0.0019
[11-22 20:57:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:13:32 (0.487 s / it)
[11-22 20:57:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.002 (7.006) Lt: 6.402 (6.384) Accm: 2.12 (2.08) Acct: 3.27 (3.30) proj_loss: -0.4843 (-0.4861) time: 0.4877 data: 0.0015
[11-22 20:57:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:13:32 (0.487 s / it)
[11-22 20:57:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:13:32 (0.487 s / it)
[11-22 20:57:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:13:32 (0.487 s / it)
[11-22 20:57:21] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 6.992 (6.992), Lt: 6.354 (6.354), Acc m&t: 2.18 3.40, Remain: 3 days, 2:55:50, Finish: 2024-11-25 07:53
[11-22 20:57:21] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 6.992 (6.992), Lt: 6.354 (6.354), Acc m&t: 2.18 3.40, Remain: 3 days, 2:57:40, Finish: 2024-11-25 07:55
[11-22 20:57:21] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 6.992 (6.992), Lt: 6.354 (6.354), Acc m&t: 2.18 3.40, Remain: 3 days, 2:55:44, Finish: 2024-11-25 07:53
[11-22 20:57:21] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 6.992 (6.992), Lt: 6.354 (6.354), Acc m&t: 2.18 3.40, Remain: 3 days, 2:56:23, Finish: 2024-11-25 07:53
[11-22 20:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:12:43 tlr: 0.00024 tnm: 0.36 Lm: 7.052 (7.052) Lt: 6.411 (6.411) Accm: 2.05 (2.05) Acct: 3.17 (3.17) proj_loss: -0.4942 (-0.4942) time: 0.4576 data: 0.0003
[11-22 20:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:13:17 tlr: 0.00024 tnm: 0.36 Lm: 6.963 (6.963) Lt: 6.386 (6.386) Accm: 2.18 (2.18) Acct: 3.36 (3.36) proj_loss: -0.4945 (-0.4945) time: 0.4778 data: 0.0004
[11-22 20:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:12:42 tlr: 0.00024 tnm: 0.36 Lm: 7.014 (7.014) Lt: 6.396 (6.396) Accm: 1.98 (1.98) Acct: 3.10 (3.10) proj_loss: -0.4751 (-0.4751) time: 0.4571 data: 0.0004
[11-22 20:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:12:40 tlr: 0.00024 tnm: 0.36 Lm: 7.069 (7.069) Lt: 6.436 (6.436) Accm: 2.08 (2.08) Acct: 3.48 (3.48) proj_loss: -0.4902 (-0.4902) time: 0.4558 data: 0.0004
[11-22 21:00:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:10:16 tlr: 0.00024 tnm: 0.39 Lm: 7.051 (7.051) Lt: 6.428 (6.428) Accm: 2.07 (2.07) Acct: 3.32 (3.32) proj_loss: -0.4950 (-0.4950) time: 0.5487 data: 0.0003
[11-22 21:00:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:10:16 tlr: 0.00024 tnm: 0.39 Lm: 6.936 (6.936) Lt: 6.323 (6.323) Accm: 2.20 (2.20) Acct: 3.28 (3.28) proj_loss: -0.4963 (-0.4963) time: 0.5487 data: 0.0002
[11-22 21:00:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:10:16 tlr: 0.00024 tnm: 0.39 Lm: 7.042 (7.042) Lt: 6.410 (6.410) Accm: 2.13 (2.13) Acct: 3.33 (3.33) proj_loss: -0.4828 (-0.4828) time: 0.5487 data: 0.0003
[11-22 21:00:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:10:16 tlr: 0.00024 tnm: 0.39 Lm: 7.066 (7.066) Lt: 6.450 (6.450) Accm: 1.92 (1.92) Acct: 2.90 (2.90) proj_loss: -0.4890 (-0.4890) time: 0.5487 data: 0.0002
[11-22 21:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:06:51 tlr: 0.00024 tnm: 0.37 Lm: 7.014 (7.040) Lt: 6.396 (6.404) Accm: 1.98 (1.96) Acct: 3.10 (3.01) proj_loss: -0.4751 (-0.4839) time: 0.4844 data: 0.0003
[11-22 21:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:06:51 tlr: 0.00024 tnm: 0.37 Lm: 6.963 (6.992) Lt: 6.386 (6.381) Accm: 2.18 (2.10) Acct: 3.20 (3.15) proj_loss: -0.4945 (-0.4915) time: 0.4844 data: 0.0002
[11-22 21:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:06:51 tlr: 0.00024 tnm: 0.37 Lm: 7.050 (7.044) Lt: 6.409 (6.400) Accm: 2.05 (2.09) Acct: 3.34 (3.33) proj_loss: -0.4942 (-0.4866) time: 0.4844 data: 0.0003
[11-22 21:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:06:51 tlr: 0.00024 tnm: 0.37 Lm: 7.069 (7.084) Lt: 6.436 (6.476) Accm: 2.06 (1.96) Acct: 3.17 (3.06) proj_loss: -0.4921 (-0.4940) time: 0.4844 data: 0.0003
[11-22 21:07:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:03:25 tlr: 0.00024 tnm: 0.37 Lm: 7.057 (7.074) Lt: 6.433 (6.465) Accm: 1.98 (1.95) Acct: 3.03 (3.02) proj_loss: -0.4926 (-0.4938) time: 0.4859 data: 0.0003
[11-22 21:07:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:03:25 tlr: 0.00024 tnm: 0.37 Lm: 6.964 (6.985) Lt: 6.346 (6.362) Accm: 2.20 (2.17) Acct: 3.28 (3.26) proj_loss: -0.4963 (-0.4933) time: 0.4859 data: 0.0002
[11-22 21:07:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:03:25 tlr: 0.00024 tnm: 0.37 Lm: 7.051 (7.056) Lt: 6.410 (6.411) Accm: 2.04 (2.01) Acct: 3.25 (3.19) proj_loss: -0.4913 (-0.4871) time: 0.4859 data: 0.0003
[11-22 21:07:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:03:25 tlr: 0.00024 tnm: 0.37 Lm: 7.000 (7.026) Lt: 6.398 (6.403) Accm: 2.01 (2.05) Acct: 3.16 (3.14) proj_loss: -0.4786 (-0.4834) time: 0.4859 data: 0.0003
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 6.987 (7.015) Lt: 6.396 (6.389) Accm: 2.04 (2.14) Acct: 3.22 (3.29) proj_loss: -0.4806 (-0.4829) time: 0.4836 data: 0.0018
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:13:39 (0.491 s / it)
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 6.964 (6.984) Lt: 6.359 (6.362) Accm: 2.23 (2.19) Acct: 3.31 (3.27) proj_loss: -0.4982 (-0.4959) time: 0.4836 data: 0.0018
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 7.045 (7.044) Lt: 6.431 (6.429) Accm: 2.06 (2.03) Acct: 3.17 (3.19) proj_loss: -0.4932 (-0.4942) time: 0.4836 data: 0.0018
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 7.052 (7.064) Lt: 6.409 (6.404) Accm: 2.02 (2.00) Acct: 3.17 (3.17) proj_loss: -0.4885 (-0.4819) time: 0.4836 data: 0.0018
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:13:39 (0.491 s / it)
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:13:39 (0.491 s / it)
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:13:39 (0.491 s / it)
[11-22 21:11:00] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 6.982 (6.982), Lt: 6.341 (6.341), Acc m&t: 2.19 3.40, Remain: 3 days, 2:04:06, Finish: 2024-11-25 07:15
[11-22 21:11:00] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 6.982 (6.982), Lt: 6.341 (6.341), Acc m&t: 2.19 3.40, Remain: 3 days, 2:03:15, Finish: 2024-11-25 07:14
[11-22 21:11:00] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 6.982 (6.982), Lt: 6.341 (6.341), Acc m&t: 2.19 3.40, Remain: 3 days, 2:04:03, Finish: 2024-11-25 07:15
[11-22 21:11:00] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 6.982 (6.982), Lt: 6.341 (6.341), Acc m&t: 2.19 3.40, Remain: 3 days, 2:01:57, Finish: 2024-11-25 07:12
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:12:50 tlr: 0.00024 tnm: 0.39 Lm: 7.089 (7.089) Lt: 6.491 (6.491) Accm: 2.06 (2.06) Acct: 3.27 (3.27) proj_loss: -0.4961 (-0.4961) time: 0.4614 data: 0.0004
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:13:06 tlr: 0.00024 tnm: 0.39 Lm: 7.078 (7.078) Lt: 6.468 (6.468) Accm: 1.92 (1.92) Acct: 2.81 (2.81) proj_loss: -0.4764 (-0.4764) time: 0.4710 data: 0.0003
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:12:47 tlr: 0.00024 tnm: 0.39 Lm: 6.840 (6.840) Lt: 6.165 (6.165) Accm: 2.69 (2.69) Acct: 4.10 (4.10) proj_loss: -0.5023 (-0.5023) time: 0.4601 data: 0.0004
[11-22 21:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:12:49 tlr: 0.00024 tnm: 0.39 Lm: 6.817 (6.817) Lt: 6.188 (6.188) Accm: 2.48 (2.48) Acct: 3.84 (3.84) proj_loss: -0.4918 (-0.4918) time: 0.4611 data: 0.0004
[11-22 21:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.40 Lm: 6.894 (6.894) Lt: 6.259 (6.259) Accm: 2.33 (2.33) Acct: 3.57 (3.57) proj_loss: -0.4845 (-0.4845) time: 0.4910 data: 0.0003
[11-22 21:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.40 Lm: 6.925 (6.925) Lt: 6.253 (6.253) Accm: 2.37 (2.37) Acct: 3.79 (3.79) proj_loss: -0.5018 (-0.5018) time: 0.4910 data: 0.0003
[11-22 21:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.40 Lm: 6.953 (6.953) Lt: 6.322 (6.322) Accm: 2.56 (2.56) Acct: 4.04 (4.04) proj_loss: -0.5035 (-0.5035) time: 0.4910 data: 0.0003
[11-22 21:14:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.40 Lm: 7.068 (7.068) Lt: 6.433 (6.433) Accm: 2.02 (2.02) Acct: 3.18 (3.18) proj_loss: -0.4747 (-0.4747) time: 0.4910 data: 0.0003
[11-22 21:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.34 Lm: 7.057 (7.060) Lt: 6.427 (6.431) Accm: 2.13 (2.13) Acct: 3.48 (3.28) proj_loss: -0.4764 (-0.4805) time: 0.4869 data: 0.0002
[11-22 21:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.34 Lm: 7.025 (6.977) Lt: 6.403 (6.349) Accm: 2.14 (2.42) Acct: 3.44 (3.84) proj_loss: -0.4961 (-0.5010) time: 0.4869 data: 0.0003
[11-22 21:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.34 Lm: 6.971 (6.942) Lt: 6.330 (6.319) Accm: 2.18 (2.25) Acct: 3.31 (3.41) proj_loss: -0.4918 (-0.4892) time: 0.4869 data: 0.0003
[11-22 21:17:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.34 Lm: 7.009 (6.975) Lt: 6.342 (6.318) Accm: 2.05 (2.21) Acct: 3.48 (3.52) proj_loss: -0.5014 (-0.5012) time: 0.4869 data: 0.0003
[11-22 21:21:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.36 Lm: 6.925 (6.922) Lt: 6.253 (6.266) Accm: 2.37 (2.35) Acct: 3.79 (3.73) proj_loss: -0.5018 (-0.5019) time: 0.4928 data: 0.0003
[11-22 21:21:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.36 Lm: 6.999 (6.976) Lt: 6.369 (6.345) Accm: 2.23 (2.39) Acct: 3.61 (3.82) proj_loss: -0.5035 (-0.5036) time: 0.4928 data: 0.0003
[11-22 21:21:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.36 Lm: 7.051 (7.018) Lt: 6.412 (6.383) Accm: 2.24 (2.20) Acct: 3.51 (3.35) proj_loss: -0.4837 (-0.4832) time: 0.4928 data: 0.0002
[11-22 21:21:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.36 Lm: 6.984 (6.956) Lt: 6.350 (6.332) Accm: 2.13 (2.20) Acct: 3.19 (3.27) proj_loss: -0.4951 (-0.4916) time: 0.4928 data: 0.0003
[11-22 21:24:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.997 (6.985) Lt: 6.371 (6.363) Accm: 2.09 (2.14) Acct: 3.08 (3.15) proj_loss: -0.4918 (-0.4880) time: 0.4926 data: 0.0018
[11-22 21:24:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:13:41 (0.492 s / it)
[11-22 21:24:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.010 (6.983) Lt: 6.336 (6.340) Accm: 2.14 (2.34) Acct: 3.53 (3.76) proj_loss: -0.4975 (-0.5024) time: 0.4926 data: 0.0016
[11-22 21:24:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.045 (7.003) Lt: 6.398 (6.366) Accm: 2.34 (2.23) Acct: 3.55 (3.40) proj_loss: -0.4911 (-0.4857) time: 0.4926 data: 0.0020
[11-22 21:24:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.009 (6.967) Lt: 6.342 (6.326) Accm: 2.05 (2.26) Acct: 3.48 (3.60) proj_loss: -0.5014 (-0.4987) time: 0.4926 data: 0.0017
[11-22 21:24:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:13:41 (0.492 s / it)
[11-22 21:24:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:13:41 (0.492 s / it)
[11-22 21:24:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:13:41 (0.492 s / it)
[11-22 21:24:41] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 6.965 (6.965), Lt: 6.324 (6.324), Acc m&t: 2.25 3.49, Remain: 3 days, 3:11:29, Finish: 2024-11-25 08:36
[11-22 21:24:41] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 6.965 (6.965), Lt: 6.324 (6.324), Acc m&t: 2.25 3.49, Remain: 3 days, 3:12:08, Finish: 2024-11-25 08:36
[11-22 21:24:41] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 6.965 (6.965), Lt: 6.324 (6.324), Acc m&t: 2.25 3.49, Remain: 3 days, 3:12:49, Finish: 2024-11-25 08:37
[11-22 21:24:41] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 6.965 (6.965), Lt: 6.324 (6.324), Acc m&t: 2.25 3.49, Remain: 3 days, 3:13:00, Finish: 2024-11-25 08:37
[11-22 21:24:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:13:03 tlr: 0.00024 tnm: 0.35 Lm: 6.940 (6.940) Lt: 6.267 (6.267) Accm: 2.53 (2.53) Acct: 3.86 (3.86) proj_loss: -0.4751 (-0.4751) time: 0.4692 data: 0.0004
[11-22 21:24:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:13:03 tlr: 0.00024 tnm: 0.35 Lm: 6.973 (6.973) Lt: 6.334 (6.334) Accm: 1.96 (1.96) Acct: 3.15 (3.15) proj_loss: -0.4966 (-0.4966) time: 0.4693 data: 0.0003
[11-22 21:24:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:13:03 tlr: 0.00024 tnm: 0.35 Lm: 7.024 (7.024) Lt: 6.357 (6.357) Accm: 2.06 (2.06) Acct: 3.06 (3.06) proj_loss: -0.5028 (-0.5028) time: 0.4696 data: 0.0004
[11-22 21:24:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:13:03 tlr: 0.00024 tnm: 0.35 Lm: 6.970 (6.970) Lt: 6.348 (6.348) Accm: 2.29 (2.29) Acct: 3.36 (3.36) proj_loss: -0.4784 (-0.4784) time: 0.4697 data: 0.0003
[11-22 21:28:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.38 Lm: 6.931 (6.931) Lt: 6.323 (6.323) Accm: 2.39 (2.39) Acct: 3.51 (3.51) proj_loss: -0.4915 (-0.4915) time: 0.4864 data: 0.0002
[11-22 21:28:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.38 Lm: 6.993 (6.993) Lt: 6.350 (6.350) Accm: 2.12 (2.12) Acct: 3.23 (3.23) proj_loss: -0.5060 (-0.5060) time: 0.4864 data: 0.0003
[11-22 21:28:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.38 Lm: 6.966 (6.966) Lt: 6.315 (6.315) Accm: 2.30 (2.30) Acct: 3.47 (3.47) proj_loss: -0.4834 (-0.4834) time: 0.4864 data: 0.0003
[11-22 21:28:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.38 Lm: 6.955 (6.955) Lt: 6.302 (6.302) Accm: 2.17 (2.17) Acct: 3.49 (3.49) proj_loss: -0.4883 (-0.4883) time: 0.4864 data: 0.0002
[11-22 21:31:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.32 Lm: 6.937 (6.930) Lt: 6.269 (6.286) Accm: 2.37 (2.30) Acct: 3.82 (3.60) proj_loss: -0.4966 (-0.4936) time: 0.4853 data: 0.0002
[11-22 21:31:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.32 Lm: 6.963 (6.978) Lt: 6.342 (6.341) Accm: 2.06 (2.09) Acct: 3.15 (3.20) proj_loss: -0.5092 (-0.5099) time: 0.4853 data: 0.0002
[11-22 21:31:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.32 Lm: 6.970 (6.954) Lt: 6.313 (6.320) Accm: 2.37 (2.38) Acct: 3.67 (3.56) proj_loss: -0.4994 (-0.4941) time: 0.4853 data: 0.0003
[11-22 21:31:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.32 Lm: 6.940 (6.940) Lt: 6.267 (6.288) Accm: 2.36 (2.32) Acct: 3.63 (3.52) proj_loss: -0.4776 (-0.4814) time: 0.4853 data: 0.0003
[11-22 21:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.33 Lm: 6.966 (6.970) Lt: 6.315 (6.331) Accm: 2.21 (2.25) Acct: 3.36 (3.38) proj_loss: -0.4846 (-0.4849) time: 0.4929 data: 0.0002
[11-22 21:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.33 Lm: 6.980 (6.983) Lt: 6.350 (6.348) Accm: 2.08 (2.09) Acct: 3.16 (3.19) proj_loss: -0.5060 (-0.5050) time: 0.4929 data: 0.0003
[11-22 21:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.33 Lm: 6.909 (6.912) Lt: 6.261 (6.266) Accm: 2.47 (2.37) Acct: 3.82 (3.68) proj_loss: -0.4884 (-0.4903) time: 0.4929 data: 0.0002
[11-22 21:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.33 Lm: 6.980 (6.963) Lt: 6.328 (6.326) Accm: 2.33 (2.32) Acct: 3.55 (3.53) proj_loss: -0.5020 (-0.4980) time: 0.4929 data: 0.0003
[11-22 21:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.970 (6.962) Lt: 6.343 (6.331) Accm: 2.29 (2.26) Acct: 3.43 (3.43) proj_loss: -0.4994 (-0.4977) time: 0.4927 data: 0.0015
[11-22 21:38:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:13:32 (0.487 s / it)
[11-22 21:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.937 (6.924) Lt: 6.269 (6.279) Accm: 2.51 (2.40) Acct: 3.82 (3.72) proj_loss: -0.4966 (-0.4981) time: 0.4927 data: 0.0017
[11-22 21:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.963 (6.954) Lt: 6.342 (6.311) Accm: 2.09 (2.18) Acct: 3.17 (3.33) proj_loss: -0.5028 (-0.5045) time: 0.4927 data: 0.0016
[11-22 21:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.992 (6.994) Lt: 6.363 (6.356) Accm: 2.07 (2.17) Acct: 3.08 (3.26) proj_loss: -0.4840 (-0.4847) time: 0.4927 data: 0.0016
[11-22 21:38:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:13:32 (0.487 s / it)
[11-22 21:38:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:13:32 (0.487 s / it)
[11-22 21:38:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:13:32 (0.487 s / it)
[11-22 21:38:14] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 6.954 (6.954), Lt: 6.312 (6.312), Acc m&t: 2.27 3.51, Remain: 3 days, 3:20:32, Finish: 2024-11-25 08:58
[11-22 21:38:14] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 6.954 (6.954), Lt: 6.312 (6.312), Acc m&t: 2.27 3.51, Remain: 3 days, 3:19:43, Finish: 2024-11-25 08:57
[11-22 21:38:14] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 6.954 (6.954), Lt: 6.312 (6.312), Acc m&t: 2.27 3.51, Remain: 3 days, 3:18:45, Finish: 2024-11-25 08:56
[11-22 21:38:14] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 6.954 (6.954), Lt: 6.312 (6.312), Acc m&t: 2.27 3.51, Remain: 3 days, 3:19:21, Finish: 2024-11-25 08:57
[11-22 21:38:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:13:10 tlr: 0.00024 tnm: 0.36 Lm: 6.814 (6.814) Lt: 6.170 (6.170) Accm: 2.59 (2.59) Acct: 3.74 (3.74) proj_loss: -0.5075 (-0.5075) time: 0.4739 data: 0.0003
[11-22 21:38:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:13:06 tlr: 0.00024 tnm: 0.36 Lm: 7.012 (7.012) Lt: 6.356 (6.356) Accm: 2.04 (2.04) Acct: 3.43 (3.43) proj_loss: -0.5113 (-0.5113) time: 0.4714 data: 0.0004
[11-22 21:38:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:13:17 tlr: 0.00024 tnm: 0.36 Lm: 7.009 (7.009) Lt: 6.355 (6.355) Accm: 2.21 (2.21) Acct: 3.29 (3.29) proj_loss: -0.4935 (-0.4935) time: 0.4779 data: 0.0003
[11-22 21:38:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:13:09 tlr: 0.00024 tnm: 0.36 Lm: 6.783 (6.783) Lt: 6.029 (6.029) Accm: 2.48 (2.48) Acct: 3.89 (3.89) proj_loss: -0.4779 (-0.4779) time: 0.4729 data: 0.0004
[11-22 21:41:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:10:25 tlr: 0.00024 tnm: 0.40 Lm: 6.816 (6.816) Lt: 6.110 (6.110) Accm: 2.57 (2.57) Acct: 3.94 (3.94) proj_loss: -0.5039 (-0.5039) time: 0.4910 data: 0.0003
[11-22 21:41:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:10:25 tlr: 0.00024 tnm: 0.40 Lm: 6.884 (6.884) Lt: 6.251 (6.251) Accm: 2.46 (2.46) Acct: 3.67 (3.67) proj_loss: -0.5025 (-0.5025) time: 0.4910 data: 0.0003
[11-22 21:41:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:10:25 tlr: 0.00024 tnm: 0.40 Lm: 6.942 (6.942) Lt: 6.278 (6.278) Accm: 2.26 (2.26) Acct: 3.57 (3.57) proj_loss: -0.5000 (-0.5000) time: 0.4910 data: 0.0003
[11-22 21:41:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:10:25 tlr: 0.00024 tnm: 0.40 Lm: 6.926 (6.926) Lt: 6.245 (6.245) Accm: 2.39 (2.39) Acct: 3.83 (3.83) proj_loss: -0.4942 (-0.4942) time: 0.4910 data: 0.0003
[11-22 21:45:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.35 Lm: 7.009 (6.963) Lt: 6.355 (6.298) Accm: 2.21 (2.33) Acct: 3.29 (3.64) proj_loss: -0.4949 (-0.4956) time: 0.4901 data: 0.0003
[11-22 21:45:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.35 Lm: 6.993 (6.959) Lt: 6.330 (6.295) Accm: 2.16 (2.23) Acct: 3.43 (3.45) proj_loss: -0.4886 (-0.4936) time: 0.4901 data: 0.0003
[11-22 21:45:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.35 Lm: 6.849 (6.851) Lt: 6.192 (6.159) Accm: 2.48 (2.43) Acct: 3.89 (3.79) proj_loss: -0.4861 (-0.4980) time: 0.4901 data: 0.0003
[11-22 21:45:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:06:55 tlr: 0.00024 tnm: 0.35 Lm: 6.953 (6.933) Lt: 6.331 (6.298) Accm: 2.33 (2.30) Acct: 3.60 (3.43) proj_loss: -0.4975 (-0.4939) time: 0.4901 data: 0.0003
[11-22 21:48:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:03:26 tlr: 0.00024 tnm: 0.32 Lm: 6.929 (6.926) Lt: 6.280 (6.281) Accm: 2.28 (2.28) Acct: 3.50 (3.42) proj_loss: -0.4948 (-0.4935) time: 0.4821 data: 0.0002
[11-22 21:48:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:03:26 tlr: 0.00024 tnm: 0.32 Lm: 6.883 (6.867) Lt: 6.224 (6.187) Accm: 2.37 (2.39) Acct: 3.72 (3.73) proj_loss: -0.4958 (-0.4998) time: 0.4822 data: 0.0003
[11-22 21:48:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:03:26 tlr: 0.00024 tnm: 0.32 Lm: 6.997 (6.968) Lt: 6.353 (6.311) Accm: 2.20 (2.26) Acct: 3.28 (3.53) proj_loss: -0.4967 (-0.4986) time: 0.4822 data: 0.0003
[11-22 21:48:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:03:26 tlr: 0.00024 tnm: 0.32 Lm: 6.933 (6.923) Lt: 6.265 (6.255) Accm: 2.32 (2.33) Acct: 3.57 (3.56) proj_loss: -0.4930 (-0.4946) time: 0.4822 data: 0.0003
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.872 (6.906) Lt: 6.200 (6.234) Accm: 2.32 (2.33) Acct: 3.50 (3.55) proj_loss: -0.4974 (-0.4998) time: 0.4897 data: 0.0019
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:13:42 (0.493 s / it)
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.905 (6.913) Lt: 6.228 (6.250) Accm: 2.33 (2.33) Acct: 3.60 (3.53) proj_loss: -0.4975 (-0.4964) time: 0.4897 data: 0.0021
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.917 (6.892) Lt: 6.257 (6.214) Accm: 2.25 (2.32) Acct: 3.55 (3.62) proj_loss: -0.4982 (-0.4995) time: 0.4897 data: 0.0016
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.985 (6.935) Lt: 6.352 (6.284) Accm: 2.21 (2.36) Acct: 3.29 (3.65) proj_loss: -0.4985 (-0.5019) time: 0.4897 data: 0.0019
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:13:42 (0.493 s / it)
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:13:42 (0.493 s / it)
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:13:42 (0.493 s / it)
[11-22 21:51:57] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 6.938 (6.938), Lt: 6.283 (6.283), Acc m&t: 2.31 3.56, Remain: 3 days, 2:41:20, Finish: 2024-11-25 08:33
[11-22 21:51:57] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 6.938 (6.938), Lt: 6.283 (6.283), Acc m&t: 2.31 3.56, Remain: 3 days, 2:41:38, Finish: 2024-11-25 08:33
[11-22 21:51:57] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 6.938 (6.938), Lt: 6.283 (6.283), Acc m&t: 2.31 3.56, Remain: 3 days, 2:40:42, Finish: 2024-11-25 08:32
[11-22 21:51:57] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 6.938 (6.938), Lt: 6.283 (6.283), Acc m&t: 2.31 3.56, Remain: 3 days, 2:41:39, Finish: 2024-11-25 08:33
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:13:01 tlr: 0.00024 tnm: 0.36 Lm: 6.933 (6.933) Lt: 6.251 (6.251) Accm: 2.09 (2.09) Acct: 3.44 (3.44) proj_loss: -0.4993 (-0.4993) time: 0.4680 data: 0.0004
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:13:01 tlr: 0.00024 tnm: 0.36 Lm: 6.827 (6.827) Lt: 6.156 (6.156) Accm: 2.57 (2.57) Acct: 3.72 (3.72) proj_loss: -0.5125 (-0.5125) time: 0.4681 data: 0.0003
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:13:01 tlr: 0.00024 tnm: 0.36 Lm: 6.847 (6.847) Lt: 6.208 (6.208) Accm: 2.76 (2.76) Acct: 4.18 (4.18) proj_loss: -0.5062 (-0.5062) time: 0.4683 data: 0.0004
[11-22 21:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:13:01 tlr: 0.00024 tnm: 0.36 Lm: 7.012 (7.012) Lt: 6.414 (6.414) Accm: 2.16 (2.16) Acct: 3.32 (3.32) proj_loss: -0.5073 (-0.5073) time: 0.4684 data: 0.0004
[11-22 21:55:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 6.985 (6.985) Lt: 6.359 (6.359) Accm: 2.27 (2.27) Acct: 3.57 (3.57) proj_loss: -0.5025 (-0.5025) time: 0.4870 data: 0.0003
[11-22 21:55:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 6.960 (6.960) Lt: 6.307 (6.307) Accm: 2.17 (2.17) Acct: 3.42 (3.42) proj_loss: -0.5013 (-0.5013) time: 0.4870 data: 0.0003
[11-22 21:55:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 6.855 (6.855) Lt: 6.195 (6.195) Accm: 2.53 (2.53) Acct: 3.78 (3.78) proj_loss: -0.5136 (-0.5136) time: 0.4870 data: 0.0003
[11-22 21:55:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.36 Lm: 6.922 (6.922) Lt: 6.259 (6.259) Accm: 2.44 (2.44) Acct: 3.84 (3.84) proj_loss: -0.5151 (-0.5151) time: 0.4870 data: 0.0003
[11-22 21:58:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.32 Lm: 6.927 (6.924) Lt: 6.251 (6.257) Accm: 2.21 (2.36) Acct: 3.60 (3.76) proj_loss: -0.5062 (-0.5078) time: 0.4902 data: 0.0003
[11-22 21:58:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.32 Lm: 6.957 (6.975) Lt: 6.305 (6.341) Accm: 2.29 (2.28) Acct: 3.53 (3.56) proj_loss: -0.5073 (-0.5048) time: 0.4902 data: 0.0003
[11-22 21:58:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.32 Lm: 6.827 (6.799) Lt: 6.156 (6.125) Accm: 2.57 (2.71) Acct: 3.84 (4.05) proj_loss: -0.5125 (-0.5069) time: 0.4902 data: 0.0003
[11-22 21:58:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.32 Lm: 6.935 (6.952) Lt: 6.251 (6.287) Accm: 2.24 (2.19) Acct: 3.44 (3.43) proj_loss: -0.5033 (-0.5042) time: 0.4902 data: 0.0003
[11-22 22:02:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.41 Lm: 6.947 (6.954) Lt: 6.272 (6.288) Accm: 2.24 (2.21) Acct: 3.45 (3.49) proj_loss: -0.5013 (-0.5012) time: 0.4856 data: 0.0003
[11-22 22:02:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.41 Lm: 6.961 (6.972) Lt: 6.304 (6.330) Accm: 2.23 (2.24) Acct: 3.51 (3.54) proj_loss: -0.5025 (-0.5027) time: 0.4856 data: 0.0002
[11-22 22:02:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.41 Lm: 6.962 (6.956) Lt: 6.281 (6.307) Accm: 2.17 (2.27) Acct: 3.55 (3.59) proj_loss: -0.5032 (-0.5059) time: 0.4856 data: 0.0002
[11-22 22:02:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:03:24 tlr: 0.00024 tnm: 0.41 Lm: 6.827 (6.806) Lt: 6.140 (6.125) Accm: 2.58 (2.68) Acct: 3.98 (4.06) proj_loss: -0.5107 (-0.5074) time: 0.4856 data: 0.0002
[11-22 22:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.827 (6.816) Lt: 6.156 (6.142) Accm: 2.57 (2.64) Acct: 3.84 (3.98) proj_loss: -0.5090 (-0.5031) time: 0.4901 data: 0.0019
[11-22 22:05:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:13:44 (0.494 s / it)
[11-22 22:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.960 (6.959) Lt: 6.293 (6.301) Accm: 2.24 (2.20) Acct: 3.44 (3.47) proj_loss: -0.4993 (-0.5007) time: 0.4901 data: 0.0016
[11-22 22:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.964 (6.988) Lt: 6.305 (6.345) Accm: 2.16 (2.22) Acct: 3.50 (3.43) proj_loss: -0.5073 (-0.5046) time: 0.4901 data: 0.0015
[11-22 22:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.927 (6.916) Lt: 6.251 (6.256) Accm: 2.21 (2.38) Acct: 3.60 (3.81) proj_loss: -0.5062 (-0.5069) time: 0.4901 data: 0.0017
[11-22 22:05:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:13:44 (0.494 s / it)
[11-22 22:05:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:13:44 (0.494 s / it)
[11-22 22:05:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:13:44 (0.494 s / it)
[11-22 22:05:41] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 6.938 (6.941), Lt: 6.283 (6.285), Acc m&t: 2.31 3.57, Remain: 3 days, 2:30:57, Finish: 2024-11-25 08:36
[11-22 22:05:41] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 6.938 (6.941), Lt: 6.283 (6.285), Acc m&t: 2.31 3.57, Remain: 3 days, 2:30:09, Finish: 2024-11-25 08:35
[11-22 22:05:41] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 6.938 (6.941), Lt: 6.283 (6.285), Acc m&t: 2.31 3.57, Remain: 3 days, 2:30:23, Finish: 2024-11-25 08:36
[11-22 22:05:41] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 6.938 (6.941), Lt: 6.283 (6.285), Acc m&t: 2.31 3.57, Remain: 3 days, 2:28:48, Finish: 2024-11-25 08:34
[11-22 22:05:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:13:29 tlr: 0.00024 tnm: 0.35 Lm: 6.958 (6.958) Lt: 6.237 (6.237) Accm: 2.41 (2.41) Acct: 3.96 (3.96) proj_loss: -0.4798 (-0.4798) time: 0.4848 data: 0.0003
[11-22 22:05:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:13:30 tlr: 0.00024 tnm: 0.35 Lm: 7.002 (7.002) Lt: 6.369 (6.369) Accm: 2.15 (2.15) Acct: 3.53 (3.53) proj_loss: -0.5021 (-0.5021) time: 0.4857 data: 0.0003
[11-22 22:05:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:13:30 tlr: 0.00024 tnm: 0.35 Lm: 6.932 (6.932) Lt: 6.266 (6.266) Accm: 2.60 (2.60) Acct: 3.99 (3.99) proj_loss: -0.5028 (-0.5028) time: 0.4859 data: 0.0003
[11-22 22:05:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:13:31 tlr: 0.00024 tnm: 0.35 Lm: 7.035 (7.035) Lt: 6.382 (6.382) Accm: 2.10 (2.10) Acct: 3.43 (3.43) proj_loss: -0.4946 (-0.4946) time: 0.4859 data: 0.0004
[11-22 22:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.33 Lm: 6.942 (6.942) Lt: 6.280 (6.280) Accm: 2.25 (2.25) Acct: 3.77 (3.77) proj_loss: -0.4955 (-0.4955) time: 0.4870 data: 0.0003
[11-22 22:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.33 Lm: 6.993 (6.993) Lt: 6.348 (6.348) Accm: 2.17 (2.17) Acct: 3.43 (3.43) proj_loss: -0.4980 (-0.4980) time: 0.4870 data: 0.0002
[11-22 22:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.33 Lm: 6.885 (6.885) Lt: 6.217 (6.217) Accm: 2.50 (2.50) Acct: 3.81 (3.81) proj_loss: -0.4966 (-0.4966) time: 0.4870 data: 0.0003
[11-22 22:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.33 Lm: 6.950 (6.950) Lt: 6.259 (6.259) Accm: 2.38 (2.38) Acct: 3.66 (3.66) proj_loss: -0.4787 (-0.4787) time: 0.4870 data: 0.0003
[11-22 22:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.39 Lm: 6.942 (6.926) Lt: 6.237 (6.243) Accm: 2.41 (2.41) Acct: 3.96 (3.76) proj_loss: -0.4798 (-0.4854) time: 0.4870 data: 0.0003
[11-22 22:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.39 Lm: 7.002 (7.006) Lt: 6.369 (6.366) Accm: 2.15 (2.11) Acct: 3.32 (3.35) proj_loss: -0.4956 (-0.4972) time: 0.4870 data: 0.0003
[11-22 22:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.39 Lm: 6.839 (6.844) Lt: 6.168 (6.175) Accm: 2.60 (2.55) Acct: 3.99 (3.89) proj_loss: -0.5006 (-0.4979) time: 0.4870 data: 0.0003
[11-22 22:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:06:46 tlr: 0.00024 tnm: 0.39 Lm: 6.954 (6.946) Lt: 6.337 (6.299) Accm: 2.11 (2.21) Acct: 3.43 (3.60) proj_loss: -0.4964 (-0.4975) time: 0.4870 data: 0.0003
[11-22 22:15:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.38 Lm: 6.993 (6.968) Lt: 6.359 (6.330) Accm: 2.19 (2.22) Acct: 3.42 (3.55) proj_loss: -0.4989 (-0.4999) time: 0.4864 data: 0.0003
[11-22 22:15:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.38 Lm: 6.885 (6.894) Lt: 6.217 (6.226) Accm: 2.50 (2.47) Acct: 3.81 (3.83) proj_loss: -0.5007 (-0.4986) time: 0.4864 data: 0.0002
[11-22 22:15:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.38 Lm: 6.950 (6.952) Lt: 6.259 (6.292) Accm: 2.38 (2.33) Acct: 3.66 (3.62) proj_loss: -0.4894 (-0.4913) time: 0.4864 data: 0.0003
[11-22 22:15:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.38 Lm: 6.993 (6.984) Lt: 6.348 (6.337) Accm: 2.17 (2.16) Acct: 3.43 (3.43) proj_loss: -0.4988 (-0.4993) time: 0.4864 data: 0.0003
[11-22 22:19:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.984 (6.980) Lt: 6.327 (6.335) Accm: 2.19 (2.19) Acct: 3.53 (3.45) proj_loss: -0.4956 (-0.4978) time: 0.4915 data: 0.0015
[11-22 22:19:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:13:33 (0.488 s / it)
[11-22 22:19:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.954 (6.962) Lt: 6.337 (6.321) Accm: 2.25 (2.23) Acct: 3.43 (3.53) proj_loss: -0.4964 (-0.4991) time: 0.4915 data: 0.0015
[11-22 22:19:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.932 (6.907) Lt: 6.266 (6.243) Accm: 2.40 (2.39) Acct: 3.63 (3.67) proj_loss: -0.5007 (-0.5010) time: 0.4915 data: 0.0015
[11-22 22:19:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.942 (6.919) Lt: 6.237 (6.248) Accm: 2.41 (2.38) Acct: 3.96 (3.73) proj_loss: -0.4941 (-0.4918) time: 0.4915 data: 0.0017
[11-22 22:19:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:13:33 (0.488 s / it)
[11-22 22:19:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:13:33 (0.488 s / it)
[11-22 22:19:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:13:33 (0.488 s / it)
[11-22 22:19:15] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 6.932 (6.932), Lt: 6.268 (6.268), Acc m&t: 2.32 3.63, Remain: 3 days, 2:14:05, Finish: 2024-11-25 08:33
[11-22 22:19:15] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 6.932 (6.932), Lt: 6.268 (6.268), Acc m&t: 2.32 3.63, Remain: 3 days, 2:14:30, Finish: 2024-11-25 08:33
[11-22 22:19:15] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 6.932 (6.932), Lt: 6.268 (6.268), Acc m&t: 2.32 3.63, Remain: 3 days, 2:13:06, Finish: 2024-11-25 08:32
[11-22 22:19:15] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 6.932 (6.932), Lt: 6.268 (6.268), Acc m&t: 2.32 3.63, Remain: 3 days, 2:14:08, Finish: 2024-11-25 08:33
[11-22 22:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:13:11 tlr: 0.00024 tnm: 0.36 Lm: 6.978 (6.978) Lt: 6.336 (6.336) Accm: 2.33 (2.33) Acct: 3.62 (3.62) proj_loss: -0.5259 (-0.5259) time: 0.4743 data: 0.0004
[11-22 22:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:13:07 tlr: 0.00024 tnm: 0.36 Lm: 6.928 (6.928) Lt: 6.230 (6.230) Accm: 2.19 (2.19) Acct: 3.39 (3.39) proj_loss: -0.5265 (-0.5265) time: 0.4717 data: 0.0003
[11-22 22:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:13:12 tlr: 0.00024 tnm: 0.36 Lm: 6.781 (6.781) Lt: 6.110 (6.110) Accm: 2.82 (2.82) Acct: 4.27 (4.27) proj_loss: -0.5168 (-0.5168) time: 0.4749 data: 0.0004
[11-22 22:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:13:12 tlr: 0.00024 tnm: 0.36 Lm: 7.000 (7.000) Lt: 6.324 (6.324) Accm: 2.23 (2.23) Acct: 3.51 (3.51) proj_loss: -0.4947 (-0.4947) time: 0.4748 data: 0.0004
[11-22 22:22:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:10:36 tlr: 0.00024 tnm: 0.36 Lm: 6.953 (6.953) Lt: 6.274 (6.274) Accm: 2.18 (2.18) Acct: 3.37 (3.37) proj_loss: -0.5069 (-0.5069) time: 0.5451 data: 0.0003
[11-22 22:22:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:10:36 tlr: 0.00024 tnm: 0.36 Lm: 6.921 (6.921) Lt: 6.241 (6.241) Accm: 2.28 (2.28) Acct: 3.62 (3.62) proj_loss: -0.5173 (-0.5173) time: 0.5451 data: 0.0003
[11-22 22:22:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:10:36 tlr: 0.00024 tnm: 0.36 Lm: 6.908 (6.908) Lt: 6.250 (6.250) Accm: 2.51 (2.51) Acct: 3.82 (3.82) proj_loss: -0.5050 (-0.5050) time: 0.5451 data: 0.0003
[11-22 22:22:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:10:36 tlr: 0.00024 tnm: 0.36 Lm: 6.841 (6.841) Lt: 6.173 (6.173) Accm: 2.60 (2.60) Acct: 4.05 (4.05) proj_loss: -0.5178 (-0.5178) time: 0.5451 data: 0.0003
[11-22 22:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:06:58 tlr: 0.00024 tnm: 0.33 Lm: 6.835 (6.839) Lt: 6.179 (6.175) Accm: 2.56 (2.59) Acct: 4.08 (4.06) proj_loss: -0.5147 (-0.5167) time: 0.4907 data: 0.0003
[11-22 22:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:06:58 tlr: 0.00024 tnm: 0.33 Lm: 7.034 (6.968) Lt: 6.390 (6.306) Accm: 2.21 (2.31) Acct: 3.37 (3.56) proj_loss: -0.4960 (-0.5020) time: 0.4907 data: 0.0003
[11-22 22:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:06:58 tlr: 0.00024 tnm: 0.33 Lm: 6.906 (6.922) Lt: 6.224 (6.241) Accm: 2.23 (2.20) Acct: 3.51 (3.44) proj_loss: -0.5105 (-0.5081) time: 0.4907 data: 0.0003
[11-22 22:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:06:58 tlr: 0.00024 tnm: 0.33 Lm: 6.928 (6.936) Lt: 6.252 (6.272) Accm: 2.35 (2.31) Acct: 3.46 (3.56) proj_loss: -0.5080 (-0.5089) time: 0.4907 data: 0.0002
[11-22 22:29:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:03:27 tlr: 0.00024 tnm: 0.37 Lm: 6.921 (6.929) Lt: 6.253 (6.267) Accm: 2.33 (2.31) Acct: 3.43 (3.51) proj_loss: -0.5061 (-0.5077) time: 0.4872 data: 0.0002
[11-22 22:29:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:03:27 tlr: 0.00024 tnm: 0.37 Lm: 6.953 (6.945) Lt: 6.274 (6.264) Accm: 2.18 (2.17) Acct: 3.44 (3.42) proj_loss: -0.5062 (-0.5065) time: 0.4872 data: 0.0003
[11-22 22:29:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:03:27 tlr: 0.00024 tnm: 0.37 Lm: 6.777 (6.809) Lt: 6.094 (6.132) Accm: 2.64 (2.62) Acct: 4.20 (4.13) proj_loss: -0.5122 (-0.5079) time: 0.4872 data: 0.0003
[11-22 22:29:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:03:27 tlr: 0.00024 tnm: 0.37 Lm: 6.984 (6.959) Lt: 6.321 (6.293) Accm: 2.43 (2.39) Acct: 3.80 (3.73) proj_loss: -0.5002 (-0.5026) time: 0.4872 data: 0.0002
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.933 (6.951) Lt: 6.258 (6.286) Accm: 2.32 (2.38) Acct: 3.82 (3.75) proj_loss: -0.5044 (-0.5081) time: 0.4858 data: 0.0015
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:13:44 (0.494 s / it)
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.795 (6.806) Lt: 6.061 (6.118) Accm: 2.72 (2.65) Acct: 4.32 (4.18) proj_loss: -0.5096 (-0.5065) time: 0.4858 data: 0.0018
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.928 (6.941) Lt: 6.254 (6.291) Accm: 2.30 (2.27) Acct: 3.39 (3.48) proj_loss: -0.5043 (-0.5050) time: 0.4858 data: 0.0019
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.989 (6.953) Lt: 6.324 (6.280) Accm: 2.13 (2.14) Acct: 3.37 (3.40) proj_loss: -0.5105 (-0.5097) time: 0.4858 data: 0.0019
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:13:44 (0.494 s / it)
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:13:44 (0.494 s / it)
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:13:44 (0.494 s / it)
[11-22 22:33:00] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 6.913 (6.913), Lt: 6.245 (6.245), Acc m&t: 2.38 3.70, Remain: 3 days, 1:34:46, Finish: 2024-11-25 08:07
[11-22 22:33:00] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 6.913 (6.913), Lt: 6.245 (6.245), Acc m&t: 2.38 3.70, Remain: 3 days, 1:33:47, Finish: 2024-11-25 08:06
[11-22 22:33:00] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 6.913 (6.913), Lt: 6.245 (6.245), Acc m&t: 2.38 3.70, Remain: 3 days, 1:33:53, Finish: 2024-11-25 08:06
[11-22 22:33:00] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 6.913 (6.913), Lt: 6.245 (6.245), Acc m&t: 2.38 3.70, Remain: 3 days, 1:34:23, Finish: 2024-11-25 08:07
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:12:56 tlr: 0.00024 tnm: 0.33 Lm: 6.912 (6.912) Lt: 6.213 (6.213) Accm: 2.32 (2.32) Acct: 3.70 (3.70) proj_loss: -0.5155 (-0.5155) time: 0.4653 data: 0.0003
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:12:56 tlr: 0.00024 tnm: 0.33 Lm: 6.912 (6.912) Lt: 6.198 (6.198) Accm: 2.21 (2.21) Acct: 3.44 (3.44) proj_loss: -0.4977 (-0.4977) time: 0.4654 data: 0.0003
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:12:56 tlr: 0.00024 tnm: 0.33 Lm: 6.957 (6.957) Lt: 6.280 (6.280) Accm: 2.28 (2.28) Acct: 3.62 (3.62) proj_loss: -0.4697 (-0.4697) time: 0.4655 data: 0.0003
[11-22 22:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:12:55 tlr: 0.00024 tnm: 0.33 Lm: 7.032 (7.032) Lt: 6.412 (6.412) Accm: 2.09 (2.09) Acct: 3.08 (3.08) proj_loss: -0.4874 (-0.4874) time: 0.4648 data: 0.0004
[11-22 22:36:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.33 Lm: 6.960 (6.960) Lt: 6.307 (6.307) Accm: 2.27 (2.27) Acct: 3.44 (3.44) proj_loss: -0.4966 (-0.4966) time: 0.4893 data: 0.0003
[11-22 22:36:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.33 Lm: 6.879 (6.879) Lt: 6.188 (6.188) Accm: 2.31 (2.31) Acct: 3.65 (3.65) proj_loss: -0.5177 (-0.5177) time: 0.4893 data: 0.0003
[11-22 22:36:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.33 Lm: 6.918 (6.918) Lt: 6.243 (6.243) Accm: 2.13 (2.13) Acct: 3.31 (3.31) proj_loss: -0.4937 (-0.4937) time: 0.4893 data: 0.0003
[11-22 22:36:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:10:10 tlr: 0.00024 tnm: 0.33 Lm: 6.844 (6.844) Lt: 6.171 (6.171) Accm: 2.49 (2.49) Acct: 3.85 (3.85) proj_loss: -0.4955 (-0.4955) time: 0.4893 data: 0.0003
[11-22 22:39:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:06:50 tlr: 0.00024 tnm: 0.34 Lm: 6.956 (6.882) Lt: 6.280 (6.226) Accm: 2.33 (2.44) Acct: 3.79 (3.83) proj_loss: -0.5214 (-0.5076) time: 0.5385 data: 0.0002
[11-22 22:39:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:06:50 tlr: 0.00024 tnm: 0.34 Lm: 6.912 (6.874) Lt: 6.198 (6.179) Accm: 2.21 (2.29) Acct: 3.44 (3.60) proj_loss: -0.4977 (-0.4957) time: 0.5385 data: 0.0002
[11-22 22:39:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:06:50 tlr: 0.00024 tnm: 0.34 Lm: 6.912 (6.905) Lt: 6.213 (6.239) Accm: 2.29 (2.24) Acct: 3.60 (3.49) proj_loss: -0.5155 (-0.5150) time: 0.5385 data: 0.0002
[11-22 22:39:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:06:50 tlr: 0.00024 tnm: 0.34 Lm: 6.887 (6.879) Lt: 6.202 (6.187) Accm: 2.45 (2.53) Acct: 3.81 (3.90) proj_loss: -0.5058 (-0.5021) time: 0.5385 data: 0.0003
[11-22 22:43:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:03:28 tlr: 0.00024 tnm: 0.33 Lm: 6.810 (6.842) Lt: 6.107 (6.143) Accm: 2.63 (2.59) Acct: 4.03 (3.99) proj_loss: -0.5016 (-0.5010) time: 0.4903 data: 0.0003
[11-22 22:43:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:03:28 tlr: 0.00024 tnm: 0.33 Lm: 6.851 (6.853) Lt: 6.151 (6.160) Accm: 2.41 (2.40) Acct: 3.82 (3.76) proj_loss: -0.4987 (-0.4993) time: 0.4903 data: 0.0002
[11-22 22:43:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:03:28 tlr: 0.00024 tnm: 0.33 Lm: 6.879 (6.862) Lt: 6.174 (6.187) Accm: 2.52 (2.53) Acct: 3.93 (3.95) proj_loss: -0.5125 (-0.5066) time: 0.4903 data: 0.0002
[11-22 22:43:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:03:28 tlr: 0.00024 tnm: 0.33 Lm: 6.902 (6.902) Lt: 6.227 (6.239) Accm: 2.31 (2.31) Acct: 3.65 (3.59) proj_loss: -0.5177 (-0.5176) time: 0.4903 data: 0.0002
[11-22 22:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.912 (6.924) Lt: 6.240 (6.260) Accm: 2.29 (2.23) Acct: 3.60 (3.46) proj_loss: -0.5155 (-0.5128) time: 0.4917 data: 0.0016
[11-22 22:46:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:13:46 (0.495 s / it)
[11-22 22:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.951 (6.880) Lt: 6.262 (6.202) Accm: 2.33 (2.45) Acct: 3.79 (3.83) proj_loss: -0.5197 (-0.5092) time: 0.4917 data: 0.0016
[11-22 22:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.912 (6.872) Lt: 6.198 (6.182) Accm: 2.33 (2.38) Acct: 3.72 (3.75) proj_loss: -0.4996 (-0.4994) time: 0.4917 data: 0.0016
[11-22 22:46:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.887 (6.855) Lt: 6.202 (6.165) Accm: 2.45 (2.56) Acct: 3.81 (3.92) proj_loss: -0.4974 (-0.4993) time: 0.4917 data: 0.0018
[11-22 22:46:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:13:46 (0.495 s / it)
[11-22 22:46:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:13:46 (0.495 s / it)
[11-22 22:46:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:13:46 (0.495 s / it)
[11-22 22:46:46] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 6.913 (6.914), Lt: 6.245 (6.246), Acc m&t: 2.38 3.70, Remain: 3 days, 1:52:25, Finish: 2024-11-25 08:39
[11-22 22:46:46] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 6.913 (6.914), Lt: 6.245 (6.246), Acc m&t: 2.38 3.70, Remain: 3 days, 1:51:31, Finish: 2024-11-25 08:38
[11-22 22:46:46] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 6.913 (6.914), Lt: 6.245 (6.246), Acc m&t: 2.38 3.70, Remain: 3 days, 1:56:57, Finish: 2024-11-25 08:43
[11-22 22:46:46] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 6.913 (6.914), Lt: 6.245 (6.246), Acc m&t: 2.38 3.70, Remain: 3 days, 1:47:59, Finish: 2024-11-25 08:34
[11-22 22:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:12:59 tlr: 0.00024 tnm: 0.32 Lm: 6.846 (6.846) Lt: 6.198 (6.198) Accm: 2.62 (2.62) Acct: 3.74 (3.74) proj_loss: -0.5164 (-0.5164) time: 0.4669 data: 0.0003
[11-22 22:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:12:59 tlr: 0.00024 tnm: 0.32 Lm: 7.011 (7.011) Lt: 6.356 (6.356) Accm: 1.97 (1.97) Acct: 3.06 (3.06) proj_loss: -0.4963 (-0.4963) time: 0.4668 data: 0.0003
[11-22 22:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:12:59 tlr: 0.00024 tnm: 0.32 Lm: 7.000 (7.000) Lt: 6.330 (6.330) Accm: 2.38 (2.38) Acct: 3.94 (3.94) proj_loss: -0.5139 (-0.5139) time: 0.4670 data: 0.0003
[11-22 22:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:12:59 tlr: 0.00024 tnm: 0.32 Lm: 6.895 (6.895) Lt: 6.210 (6.210) Accm: 2.32 (2.32) Acct: 3.62 (3.62) proj_loss: -0.5044 (-0.5044) time: 0.4671 data: 0.0004
[11-22 22:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.31 Lm: 6.928 (6.928) Lt: 6.299 (6.299) Accm: 2.29 (2.29) Acct: 3.43 (3.43) proj_loss: -0.5013 (-0.5013) time: 0.4907 data: 0.0003
[11-22 22:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.31 Lm: 6.980 (6.980) Lt: 6.309 (6.309) Accm: 2.31 (2.31) Acct: 3.70 (3.70) proj_loss: -0.5145 (-0.5145) time: 0.4907 data: 0.0003
[11-22 22:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.31 Lm: 6.925 (6.925) Lt: 6.262 (6.262) Accm: 2.32 (2.32) Acct: 3.56 (3.56) proj_loss: -0.5087 (-0.5087) time: 0.4907 data: 0.0003
[11-22 22:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.31 Lm: 6.834 (6.834) Lt: 6.170 (6.170) Accm: 2.49 (2.49) Acct: 3.66 (3.66) proj_loss: -0.5115 (-0.5115) time: 0.4907 data: 0.0003
[11-22 22:53:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.34 Lm: 6.846 (6.839) Lt: 6.141 (6.157) Accm: 2.51 (2.49) Acct: 3.74 (3.82) proj_loss: -0.5066 (-0.5084) time: 0.4855 data: 0.0003
[11-22 22:53:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.34 Lm: 6.880 (6.910) Lt: 6.254 (6.259) Accm: 2.39 (2.35) Acct: 3.74 (3.62) proj_loss: -0.5051 (-0.5075) time: 0.4855 data: 0.0002
[11-22 22:53:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.34 Lm: 6.895 (6.864) Lt: 6.210 (6.238) Accm: 2.32 (3.02) Acct: 3.62 (4.29) proj_loss: -0.5044 (-0.5043) time: 0.4855 data: 0.0003
[11-22 22:53:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:06:47 tlr: 0.00024 tnm: 0.34 Lm: 6.961 (6.931) Lt: 6.288 (6.273) Accm: 2.38 (2.36) Acct: 3.75 (3.72) proj_loss: -0.5139 (-0.5106) time: 0.4855 data: 0.0002
[11-22 22:56:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.35 Lm: 6.897 (6.902) Lt: 6.244 (6.247) Accm: 2.42 (2.43) Acct: 3.85 (3.81) proj_loss: -0.5084 (-0.5069) time: 0.4838 data: 0.0002
[11-22 22:56:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.35 Lm: 6.821 (6.835) Lt: 6.163 (6.200) Accm: 2.46 (2.92) Acct: 3.75 (4.19) proj_loss: -0.5073 (-0.5071) time: 0.4838 data: 0.0003
[11-22 22:56:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.35 Lm: 6.837 (6.836) Lt: 6.137 (6.147) Accm: 2.56 (2.55) Acct: 3.93 (3.97) proj_loss: -0.5045 (-0.5069) time: 0.4838 data: 0.0003
[11-22 22:56:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:03:23 tlr: 0.00024 tnm: 0.35 Lm: 6.868 (6.896) Lt: 6.211 (6.234) Accm: 2.43 (2.38) Acct: 3.79 (3.67) proj_loss: -0.5072 (-0.5080) time: 0.4838 data: 0.0002
[11-22 23:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.880 (6.897) Lt: 6.225 (6.232) Accm: 2.48 (2.42) Acct: 3.84 (3.71) proj_loss: -0.5051 (-0.5067) time: 0.4915 data: 0.0018
[11-22 23:00:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.846 (6.856) Lt: 6.141 (6.170) Accm: 2.51 (2.48) Acct: 3.74 (3.85) proj_loss: -0.5066 (-0.5082) time: 0.4915 data: 0.0016
[11-22 23:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.895 (6.850) Lt: 6.210 (6.215) Accm: 2.32 (2.80) Acct: 3.62 (4.07) proj_loss: -0.5045 (-0.5066) time: 0.4915 data: 0.0020
[11-22 23:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.918 (6.905) Lt: 6.209 (6.240) Accm: 2.38 (2.41) Acct: 3.75 (3.76) proj_loss: -0.5097 (-0.5075) time: 0.4915 data: 0.0015
[11-22 23:00:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:00:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:00:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:02:35] (home/user/VAR/trainer.py, line 114)=> FID: 6.540959837483001
[11-22 23:02:36] (/home/user/VAR/train.py , line 259)=> [*] [ep29] (val 50000) Lm: 6.9070, Lt: 6.2436, Acc m&t: 2.38 3.70, Val cost: 129.61s
[11-22 23:02:36] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-22 23:03:01] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 6.907 (6.907), Lt: 6.244 (6.244), Acc m&t: 2.38 3.70, Remain: 3 days, 1:46:32, Finish: 2024-11-25 08:46
[11-22 23:03:01] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 6.907 (6.907), Lt: 6.244 (6.244), Acc m&t: 2.38 3.70, Remain: 3 days, 1:46:36, Finish: 2024-11-25 08:47
[11-22 23:03:01] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 6.907 (6.907), Lt: 6.244 (6.244), Acc m&t: 2.38 3.70, Remain: 3 days, 1:47:50, Finish: 2024-11-25 08:48
[11-22 23:03:01] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 6.907 (6.907), Lt: 6.244 (6.244), Acc m&t: 2.38 3.70, Remain: 3 days, 1:45:44, Finish: 2024-11-25 08:46
[11-22 23:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:13:37 tlr: 0.00024 tnm: 0.32 Lm: 6.854 (6.854) Lt: 6.149 (6.149) Accm: 2.49 (2.49) Acct: 3.86 (3.86) proj_loss: -0.5074 (-0.5074) time: 0.4899 data: 0.0004
[11-22 23:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:13:36 tlr: 0.00024 tnm: 0.32 Lm: 6.754 (6.754) Lt: 6.125 (6.125) Accm: 2.85 (2.85) Acct: 4.42 (4.42) proj_loss: -0.5344 (-0.5344) time: 0.4892 data: 0.0003
[11-22 23:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:13:34 tlr: 0.00024 tnm: 0.32 Lm: 6.703 (6.703) Lt: 6.022 (6.022) Accm: 2.73 (2.73) Acct: 4.18 (4.18) proj_loss: -0.5214 (-0.5214) time: 0.4883 data: 0.0004
[11-22 23:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:13:34 tlr: 0.00024 tnm: 0.32 Lm: 6.974 (6.974) Lt: 6.343 (6.343) Accm: 2.16 (2.16) Acct: 3.34 (3.34) proj_loss: -0.4883 (-0.4883) time: 0.4883 data: 0.0004
[11-22 23:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:10:23 tlr: 0.00024 tnm: 0.30 Lm: 6.934 (6.934) Lt: 6.279 (6.279) Accm: 2.29 (2.29) Acct: 3.69 (3.69) proj_loss: -0.5007 (-0.5007) time: 0.5422 data: 0.0003
[11-22 23:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:10:23 tlr: 0.00024 tnm: 0.30 Lm: 6.827 (6.827) Lt: 6.182 (6.182) Accm: 2.57 (2.57) Acct: 3.91 (3.91) proj_loss: -0.5163 (-0.5163) time: 0.5422 data: 0.0003
[11-22 23:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:10:23 tlr: 0.00024 tnm: 0.30 Lm: 6.778 (6.778) Lt: 6.115 (6.115) Accm: 2.52 (2.52) Acct: 3.88 (3.88) proj_loss: -0.5211 (-0.5211) time: 0.5422 data: 0.0003
[11-22 23:06:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:10:23 tlr: 0.00024 tnm: 0.30 Lm: 6.918 (6.918) Lt: 6.240 (6.240) Accm: 2.39 (2.39) Acct: 3.66 (3.66) proj_loss: -0.5099 (-0.5099) time: 0.5422 data: 0.0003
[11-22 23:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:06:53 tlr: 0.00024 tnm: 0.32 Lm: 6.854 (6.877) Lt: 6.149 (6.194) Accm: 2.49 (2.47) Acct: 3.86 (3.75) proj_loss: -0.5124 (-0.5127) time: 0.4872 data: 0.0003
[11-22 23:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:06:53 tlr: 0.00024 tnm: 0.32 Lm: 6.901 (6.923) Lt: 6.243 (6.267) Accm: 2.27 (2.29) Acct: 3.68 (3.69) proj_loss: -0.5057 (-0.5024) time: 0.4872 data: 0.0003
[11-22 23:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:06:53 tlr: 0.00024 tnm: 0.32 Lm: 6.875 (6.843) Lt: 6.212 (6.192) Accm: 2.41 (2.52) Acct: 3.67 (3.83) proj_loss: -0.5275 (-0.5200) time: 0.4872 data: 0.0003
[11-22 23:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:06:53 tlr: 0.00024 tnm: 0.32 Lm: 6.822 (6.793) Lt: 6.095 (6.109) Accm: 2.46 (2.50) Acct: 3.93 (3.90) proj_loss: -0.5208 (-0.5136) time: 0.4872 data: 0.0002
[11-22 23:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:03:25 tlr: 0.00024 tnm: 0.32 Lm: 6.838 (6.843) Lt: 6.152 (6.174) Accm: 2.39 (2.43) Acct: 3.75 (3.77) proj_loss: -0.5211 (-0.5165) time: 0.4870 data: 0.0003
[11-22 23:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:03:25 tlr: 0.00024 tnm: 0.32 Lm: 6.842 (6.834) Lt: 6.169 (6.172) Accm: 2.40 (2.49) Acct: 3.74 (3.82) proj_loss: -0.5128 (-0.5093) time: 0.4870 data: 0.0003
[11-22 23:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:03:25 tlr: 0.00024 tnm: 0.32 Lm: 6.869 (6.878) Lt: 6.177 (6.196) Accm: 2.51 (2.48) Acct: 3.90 (3.82) proj_loss: -0.5099 (-0.5096) time: 0.4870 data: 0.0003
[11-22 23:13:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:03:25 tlr: 0.00024 tnm: 0.32 Lm: 6.898 (6.913) Lt: 6.229 (6.245) Accm: 2.27 (2.28) Acct: 3.67 (3.68) proj_loss: -0.5035 (-0.5021) time: 0.4870 data: 0.0003
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.901 (6.917) Lt: 6.243 (6.257) Accm: 2.27 (2.25) Acct: 3.65 (3.61) proj_loss: -0.5057 (-0.5029) time: 0.4927 data: 0.0015
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.883 (6.904) Lt: 6.204 (6.223) Accm: 2.49 (2.45) Acct: 3.86 (3.80) proj_loss: -0.5074 (-0.5061) time: 0.4927 data: 0.0019
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.875 (6.855) Lt: 6.212 (6.188) Accm: 2.39 (2.44) Acct: 3.67 (3.78) proj_loss: -0.5009 (-0.5076) time: 0.4927 data: 0.0016
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.854 (6.851) Lt: 6.153 (6.170) Accm: 2.40 (2.42) Acct: 3.93 (3.83) proj_loss: -0.5208 (-0.5148) time: 0.4927 data: 0.0019
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:16:41] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 6.893 (6.893), Lt: 6.221 (6.221), Acc m&t: 2.41 3.75, Remain: 3 days, 1:25:50, Finish: 2024-11-25 08:42
[11-22 23:16:41] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 6.893 (6.893), Lt: 6.221 (6.221), Acc m&t: 2.41 3.75, Remain: 3 days, 1:27:24, Finish: 2024-11-25 08:44
[11-22 23:16:41] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 6.893 (6.893), Lt: 6.221 (6.221), Acc m&t: 2.41 3.75, Remain: 3 days, 1:26:27, Finish: 2024-11-25 08:43
[11-22 23:16:41] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 6.893 (6.893), Lt: 6.221 (6.221), Acc m&t: 2.41 3.75, Remain: 3 days, 1:26:12, Finish: 2024-11-25 08:42
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:13:14 tlr: 0.00024 tnm: 0.34 Lm: 7.030 (7.030) Lt: 6.391 (6.391) Accm: 2.10 (2.10) Acct: 3.37 (3.37) proj_loss: -0.5335 (-0.5335) time: 0.4761 data: 0.0003
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:12:41 tlr: 0.00024 tnm: 0.34 Lm: 6.743 (6.743) Lt: 6.026 (6.026) Accm: 2.68 (2.68) Acct: 4.24 (4.24) proj_loss: -0.5354 (-0.5354) time: 0.4565 data: 0.0004
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:12:42 tlr: 0.00024 tnm: 0.34 Lm: 7.019 (7.019) Lt: 6.374 (6.374) Accm: 2.09 (2.09) Acct: 3.03 (3.03) proj_loss: -0.5442 (-0.5442) time: 0.4571 data: 0.0003
[11-22 23:16:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:12:43 tlr: 0.00024 tnm: 0.34 Lm: 6.896 (6.896) Lt: 6.182 (6.182) Accm: 2.51 (2.51) Acct: 4.06 (4.06) proj_loss: -0.5069 (-0.5069) time: 0.4572 data: 0.0004
[11-22 23:20:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.32 Lm: 6.912 (6.912) Lt: 6.195 (6.195) Accm: 2.37 (2.37) Acct: 3.88 (3.88) proj_loss: -0.5118 (-0.5118) time: 0.4853 data: 0.0003
[11-22 23:20:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.32 Lm: 6.858 (6.858) Lt: 6.165 (6.165) Accm: 2.49 (2.49) Acct: 3.91 (3.91) proj_loss: -0.5248 (-0.5248) time: 0.4853 data: 0.0003
[11-22 23:20:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.32 Lm: 6.953 (6.953) Lt: 6.289 (6.289) Accm: 2.20 (2.20) Acct: 3.48 (3.48) proj_loss: -0.5291 (-0.5291) time: 0.4853 data: 0.0003
[11-22 23:20:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.32 Lm: 6.964 (6.964) Lt: 6.300 (6.300) Accm: 2.19 (2.19) Acct: 3.42 (3.42) proj_loss: -0.5307 (-0.5307) time: 0.4853 data: 0.0003
[11-22 23:23:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:06:51 tlr: 0.00023 tnm: 0.33 Lm: 6.915 (6.948) Lt: 6.265 (6.289) Accm: 2.16 (2.18) Acct: 3.41 (3.41) proj_loss: -0.5173 (-0.5233) time: 0.4895 data: 0.0003
[11-22 23:23:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:06:51 tlr: 0.00023 tnm: 0.33 Lm: 6.892 (6.870) Lt: 6.204 (6.178) Accm: 2.30 (2.41) Acct: 3.58 (3.66) proj_loss: -0.5143 (-0.5198) time: 0.4895 data: 0.0003
[11-22 23:23:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:06:51 tlr: 0.00023 tnm: 0.33 Lm: 6.896 (6.934) Lt: 6.201 (6.260) Accm: 2.24 (2.21) Acct: 3.37 (3.40) proj_loss: -0.5247 (-0.5214) time: 0.4895 data: 0.0003
[11-22 23:23:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:06:51 tlr: 0.00023 tnm: 0.33 Lm: 6.896 (6.896) Lt: 6.182 (6.184) Accm: 2.43 (2.39) Acct: 4.06 (3.98) proj_loss: -0.5069 (-0.5099) time: 0.4896 data: 0.0003
[11-22 23:27:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.32 Lm: 6.912 (6.913) Lt: 6.195 (6.215) Accm: 2.33 (2.34) Acct: 3.88 (3.83) proj_loss: -0.5068 (-0.5091) time: 0.4907 data: 0.0003
[11-22 23:27:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.32 Lm: 6.912 (6.908) Lt: 6.246 (6.246) Accm: 2.23 (2.25) Acct: 3.61 (3.51) proj_loss: -0.5266 (-0.5265) time: 0.4907 data: 0.0003
[11-22 23:27:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.32 Lm: 6.858 (6.858) Lt: 6.180 (6.172) Accm: 2.37 (2.41) Acct: 3.71 (3.71) proj_loss: -0.5120 (-0.5106) time: 0.4907 data: 0.0003
[11-22 23:27:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.32 Lm: 6.899 (6.926) Lt: 6.237 (6.263) Accm: 2.27 (2.28) Acct: 3.48 (3.51) proj_loss: -0.5206 (-0.5201) time: 0.4907 data: 0.0003
[11-22 23:30:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.896 (6.907) Lt: 6.201 (6.248) Accm: 2.29 (2.34) Acct: 3.58 (3.53) proj_loss: -0.5164 (-0.5175) time: 0.4883 data: 0.0021
[11-22 23:30:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:13:47 (0.496 s / it)
[11-22 23:30:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.915 (6.925) Lt: 6.265 (6.268) Accm: 2.29 (2.26) Acct: 3.44 (3.50) proj_loss: -0.5173 (-0.5202) time: 0.4883 data: 0.0018
[11-22 23:30:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.896 (6.888) Lt: 6.182 (6.188) Accm: 2.43 (2.42) Acct: 3.86 (3.83) proj_loss: -0.5069 (-0.5107) time: 0.4883 data: 0.0019
[11-22 23:30:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.823 (6.840) Lt: 6.156 (6.145) Accm: 2.43 (2.47) Acct: 3.84 (3.78) proj_loss: -0.5096 (-0.5094) time: 0.4883 data: 0.0019
[11-22 23:30:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:13:47 (0.496 s / it)
[11-22 23:30:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:13:47 (0.496 s / it)
[11-22 23:30:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:13:47 (0.496 s / it)
[11-22 23:30:28] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.886 (6.886), Lt: 6.213 (6.213), Acc m&t: 2.42 3.78, Remain: 3 days, 0:58:57, Finish: 2024-11-25 08:29
[11-22 23:30:28] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.886 (6.886), Lt: 6.213 (6.213), Acc m&t: 2.42 3.78, Remain: 3 days, 0:59:14, Finish: 2024-11-25 08:29
[11-22 23:30:28] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.886 (6.886), Lt: 6.213 (6.213), Acc m&t: 2.42 3.78, Remain: 3 days, 0:58:03, Finish: 2024-11-25 08:28
[11-22 23:30:28] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.886 (6.886), Lt: 6.213 (6.213), Acc m&t: 2.42 3.78, Remain: 3 days, 0:59:58, Finish: 2024-11-25 08:30
[11-22 23:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:12:54 tlr: 0.00023 tnm: 0.35 Lm: 6.687 (6.687) Lt: 5.984 (5.984) Accm: 2.90 (2.90) Acct: 4.79 (4.79) proj_loss: -0.5196 (-0.5196) time: 0.4643 data: 0.0003
[11-22 23:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:12:55 tlr: 0.00023 tnm: 0.35 Lm: 6.889 (6.889) Lt: 6.202 (6.202) Accm: 2.46 (2.46) Acct: 3.93 (3.93) proj_loss: -0.5173 (-0.5173) time: 0.4645 data: 0.0003
[11-22 23:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:12:53 tlr: 0.00023 tnm: 0.35 Lm: 6.899 (6.899) Lt: 6.222 (6.222) Accm: 2.48 (2.48) Acct: 3.86 (3.86) proj_loss: -0.5188 (-0.5188) time: 0.4633 data: 0.0003
[11-22 23:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:12:55 tlr: 0.00023 tnm: 0.35 Lm: 6.899 (6.899) Lt: 6.232 (6.232) Accm: 2.45 (2.45) Acct: 3.75 (3.75) proj_loss: -0.5043 (-0.5043) time: 0.4645 data: 0.0003
[11-22 23:33:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:10:10 tlr: 0.00023 tnm: 0.34 Lm: 6.880 (6.880) Lt: 6.183 (6.183) Accm: 2.41 (2.41) Acct: 3.81 (3.81) proj_loss: -0.4973 (-0.4973) time: 0.4864 data: 0.0002
[11-22 23:33:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:10:10 tlr: 0.00023 tnm: 0.34 Lm: 6.916 (6.916) Lt: 6.217 (6.217) Accm: 2.31 (2.31) Acct: 3.72 (3.72) proj_loss: -0.5051 (-0.5051) time: 0.4864 data: 0.0002
[11-22 23:33:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:10:10 tlr: 0.00023 tnm: 0.34 Lm: 6.861 (6.861) Lt: 6.211 (6.211) Accm: 2.47 (2.47) Acct: 3.81 (3.81) proj_loss: -0.5138 (-0.5138) time: 0.4864 data: 0.0003
[11-22 23:33:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:10:10 tlr: 0.00023 tnm: 0.34 Lm: 6.839 (6.839) Lt: 6.177 (6.177) Accm: 2.59 (2.59) Acct: 4.06 (4.06) proj_loss: -0.5159 (-0.5159) time: 0.4864 data: 0.0003
[11-22 23:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.36 Lm: 6.927 (6.868) Lt: 6.304 (6.219) Accm: 2.27 (2.41) Acct: 3.34 (3.78) proj_loss: -0.5196 (-0.5191) time: 0.4826 data: 0.0003
[11-22 23:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.36 Lm: 6.942 (6.953) Lt: 6.232 (6.270) Accm: 2.16 (2.17) Acct: 3.51 (3.46) proj_loss: -0.5032 (-0.5045) time: 0.4826 data: 0.0003
[11-22 23:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.36 Lm: 6.899 (6.894) Lt: 6.222 (6.245) Accm: 2.45 (2.34) Acct: 3.75 (3.57) proj_loss: -0.5179 (-0.5152) time: 0.4826 data: 0.0003
[11-22 23:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.36 Lm: 6.864 (6.875) Lt: 6.201 (6.189) Accm: 2.45 (2.50) Acct: 3.86 (3.90) proj_loss: -0.5043 (-0.5074) time: 0.4826 data: 0.0002
[11-22 23:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.33 Lm: 6.863 (6.857) Lt: 6.175 (6.179) Accm: 2.41 (2.47) Acct: 3.81 (3.84) proj_loss: -0.5016 (-0.5053) time: 0.4867 data: 0.0003
[11-22 23:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.33 Lm: 6.896 (6.867) Lt: 6.241 (6.209) Accm: 2.27 (2.38) Acct: 3.56 (3.77) proj_loss: -0.5221 (-0.5205) time: 0.4867 data: 0.0003
[11-22 23:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.33 Lm: 6.916 (6.909) Lt: 6.217 (6.231) Accm: 2.31 (2.30) Acct: 3.72 (3.60) proj_loss: -0.5102 (-0.5099) time: 0.4868 data: 0.0003
[11-22 23:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.33 Lm: 6.908 (6.900) Lt: 6.251 (6.254) Accm: 2.40 (2.34) Acct: 3.70 (3.59) proj_loss: -0.5140 (-0.5139) time: 0.4867 data: 0.0003
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.899 (6.898) Lt: 6.222 (6.246) Accm: 2.37 (2.34) Acct: 3.75 (3.66) proj_loss: -0.5179 (-0.5153) time: 0.4908 data: 0.0019
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:13:42 (0.493 s / it)
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.862 (6.847) Lt: 6.148 (6.161) Accm: 2.45 (2.52) Acct: 3.86 (3.91) proj_loss: -0.5043 (-0.5100) time: 0.4908 data: 0.0018
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.889 (6.891) Lt: 6.202 (6.208) Accm: 2.46 (2.36) Acct: 3.93 (3.74) proj_loss: -0.5032 (-0.5074) time: 0.4908 data: 0.0019
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.927 (6.891) Lt: 6.304 (6.237) Accm: 2.27 (2.27) Acct: 3.34 (3.61) proj_loss: -0.5196 (-0.5198) time: 0.4908 data: 0.0016
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:13:42 (0.493 s / it)
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:13:42 (0.493 s / it)
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:13:42 (0.493 s / it)
[11-22 23:44:11] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.874 (6.874), Lt: 6.197 (6.197), Acc m&t: 2.46 3.85, Remain: 3 days, 0:45:22, Finish: 2024-11-25 08:29
[11-22 23:44:11] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.874 (6.874), Lt: 6.197 (6.197), Acc m&t: 2.46 3.85, Remain: 3 days, 0:45:39, Finish: 2024-11-25 08:29
[11-22 23:44:11] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.874 (6.874), Lt: 6.197 (6.197), Acc m&t: 2.46 3.85, Remain: 3 days, 0:46:21, Finish: 2024-11-25 08:30
[11-22 23:44:11] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.874 (6.874), Lt: 6.197 (6.197), Acc m&t: 2.46 3.85, Remain: 3 days, 0:44:11, Finish: 2024-11-25 08:28
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:13:02 tlr: 0.00023 tnm: 0.31 Lm: 6.887 (6.887) Lt: 6.208 (6.208) Accm: 2.41 (2.41) Acct: 3.65 (3.65) proj_loss: -0.5205 (-0.5205) time: 0.4690 data: 0.0004
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:13:03 tlr: 0.00023 tnm: 0.31 Lm: 6.820 (6.820) Lt: 6.111 (6.111) Accm: 2.91 (2.91) Acct: 4.51 (4.51) proj_loss: -0.4894 (-0.4894) time: 0.4693 data: 0.0004
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:13:02 tlr: 0.00023 tnm: 0.31 Lm: 6.987 (6.987) Lt: 6.315 (6.315) Accm: 2.29 (2.29) Acct: 3.62 (3.62) proj_loss: -0.5283 (-0.5283) time: 0.4688 data: 0.0004
[11-22 23:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:13:02 tlr: 0.00023 tnm: 0.31 Lm: 6.889 (6.889) Lt: 6.189 (6.189) Accm: 2.47 (2.47) Acct: 4.01 (4.01) proj_loss: -0.4851 (-0.4851) time: 0.4691 data: 0.0003
[11-22 23:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:10:28 tlr: 0.00023 tnm: 0.32 Lm: 6.834 (6.834) Lt: 6.167 (6.167) Accm: 2.61 (2.61) Acct: 4.02 (4.02) proj_loss: -0.5009 (-0.5009) time: 0.4915 data: 0.0002
[11-22 23:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:10:28 tlr: 0.00023 tnm: 0.32 Lm: 6.805 (6.805) Lt: 6.112 (6.112) Accm: 2.62 (2.62) Acct: 3.99 (3.99) proj_loss: -0.5111 (-0.5111) time: 0.4915 data: 0.0003
[11-22 23:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:10:28 tlr: 0.00023 tnm: 0.32 Lm: 6.867 (6.867) Lt: 6.200 (6.200) Accm: 2.63 (2.63) Acct: 4.05 (4.05) proj_loss: -0.5079 (-0.5079) time: 0.4915 data: 0.0003
[11-22 23:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:10:28 tlr: 0.00023 tnm: 0.32 Lm: 6.992 (6.992) Lt: 6.312 (6.312) Accm: 2.20 (2.20) Acct: 3.43 (3.43) proj_loss: -0.5163 (-0.5163) time: 0.4915 data: 0.0003
[11-22 23:51:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:06:53 tlr: 0.00023 tnm: 0.32 Lm: 6.987 (6.881) Lt: 6.308 (6.197) Accm: 2.29 (2.36) Acct: 3.62 (3.71) proj_loss: -0.5283 (-0.5204) time: 0.4880 data: 0.0003
[11-22 23:51:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:06:53 tlr: 0.00023 tnm: 0.32 Lm: 6.854 (6.841) Lt: 6.148 (6.161) Accm: 2.47 (2.49) Acct: 4.01 (3.90) proj_loss: -0.5166 (-0.5097) time: 0.4880 data: 0.0003
[11-22 23:51:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:06:53 tlr: 0.00023 tnm: 0.32 Lm: 6.841 (6.817) Lt: 6.164 (6.129) Accm: 2.60 (2.61) Acct: 3.81 (3.93) proj_loss: -0.5205 (-0.5152) time: 0.4880 data: 0.0003
[11-22 23:51:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:06:53 tlr: 0.00023 tnm: 0.32 Lm: 6.914 (6.920) Lt: 6.290 (6.251) Accm: 2.34 (2.49) Acct: 3.58 (3.85) proj_loss: -0.5224 (-0.5128) time: 0.4880 data: 0.0002
[11-22 23:54:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.34 Lm: 6.867 (6.868) Lt: 6.200 (6.202) Accm: 2.63 (2.62) Acct: 4.05 (4.11) proj_loss: -0.5244 (-0.5179) time: 0.4899 data: 0.0003
[11-22 23:54:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.34 Lm: 6.864 (6.855) Lt: 6.186 (6.174) Accm: 2.51 (2.55) Acct: 3.73 (3.85) proj_loss: -0.5134 (-0.5129) time: 0.4899 data: 0.0003
[11-22 23:54:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.34 Lm: 6.992 (6.911) Lt: 6.301 (6.221) Accm: 2.20 (2.29) Acct: 3.53 (3.65) proj_loss: -0.5185 (-0.5175) time: 0.4899 data: 0.0003
[11-22 23:54:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.34 Lm: 6.872 (6.855) Lt: 6.169 (6.183) Accm: 2.39 (2.44) Acct: 3.83 (3.84) proj_loss: -0.5174 (-0.5119) time: 0.4899 data: 0.0003
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.889 (6.862) Lt: 6.189 (6.188) Accm: 2.31 (2.40) Acct: 3.65 (3.77) proj_loss: -0.5166 (-0.5120) time: 0.4882 data: 0.0019
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.914 (6.901) Lt: 6.290 (6.244) Accm: 2.34 (2.49) Acct: 3.58 (3.89) proj_loss: -0.5224 (-0.5176) time: 0.4882 data: 0.0018
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.852 (6.855) Lt: 6.179 (6.175) Accm: 2.41 (2.51) Acct: 3.77 (3.83) proj_loss: -0.5123 (-0.5128) time: 0.4882 data: 0.0017
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.987 (6.918) Lt: 6.294 (6.226) Accm: 2.18 (2.27) Acct: 3.44 (3.56) proj_loss: -0.5087 (-0.5130) time: 0.4882 data: 0.0016
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:13:39 (0.491 s / it)
[11-22 23:57:51] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.874 (6.874), Lt: 6.197 (6.199), Acc m&t: 2.46 3.87, Remain: 3 days, 0:23:04, Finish: 2024-11-25 08:20
[11-22 23:57:51] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.874 (6.874), Lt: 6.197 (6.199), Acc m&t: 2.46 3.87, Remain: 3 days, 0:21:23, Finish: 2024-11-25 08:19
[11-22 23:57:51] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.874 (6.874), Lt: 6.197 (6.199), Acc m&t: 2.46 3.87, Remain: 3 days, 0:19:29, Finish: 2024-11-25 08:17
[11-22 23:57:51] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.874 (6.874), Lt: 6.197 (6.199), Acc m&t: 2.46 3.87, Remain: 3 days, 0:22:10, Finish: 2024-11-25 08:20
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:12:59 tlr: 0.00023 tnm: 0.32 Lm: 6.938 (6.938) Lt: 6.273 (6.273) Accm: 2.08 (2.08) Acct: 3.31 (3.31) proj_loss: -0.5201 (-0.5201) time: 0.4671 data: 0.0004
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:12:59 tlr: 0.00023 tnm: 0.32 Lm: 6.824 (6.824) Lt: 6.154 (6.154) Accm: 2.60 (2.60) Acct: 4.12 (4.12) proj_loss: -0.5100 (-0.5100) time: 0.4673 data: 0.0003
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:13:00 tlr: 0.00023 tnm: 0.32 Lm: 6.788 (6.788) Lt: 6.142 (6.142) Accm: 2.71 (2.71) Acct: 3.96 (3.96) proj_loss: -0.5070 (-0.5070) time: 0.4677 data: 0.0004
[11-22 23:57:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:13:00 tlr: 0.00023 tnm: 0.32 Lm: 6.963 (6.963) Lt: 6.343 (6.343) Accm: 2.18 (2.18) Acct: 3.36 (3.36) proj_loss: -0.5059 (-0.5059) time: 0.4678 data: 0.0004
[11-23 00:01:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:10:20 tlr: 0.00023 tnm: 0.34 Lm: 6.831 (6.831) Lt: 6.178 (6.178) Accm: 2.63 (2.63) Acct: 3.90 (3.90) proj_loss: -0.5125 (-0.5125) time: 0.5376 data: 0.0003
[11-23 00:01:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:10:20 tlr: 0.00023 tnm: 0.34 Lm: 6.907 (6.907) Lt: 6.248 (6.248) Accm: 2.23 (2.23) Acct: 3.48 (3.48) proj_loss: -0.5220 (-0.5220) time: 0.5376 data: 0.0003
[11-23 00:01:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:10:20 tlr: 0.00023 tnm: 0.34 Lm: 6.848 (6.848) Lt: 6.202 (6.202) Accm: 2.48 (2.48) Acct: 3.84 (3.84) proj_loss: -0.5118 (-0.5118) time: 0.5376 data: 0.0003
[11-23 00:01:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:10:20 tlr: 0.00023 tnm: 0.34 Lm: 6.936 (6.936) Lt: 6.285 (6.285) Accm: 2.28 (2.28) Acct: 3.56 (3.56) proj_loss: -0.5181 (-0.5181) time: 0.5376 data: 0.0002
[11-23 00:04:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:06:55 tlr: 0.00023 tnm: 0.37 Lm: 6.998 (6.957) Lt: 6.354 (6.308) Accm: 1.97 (2.17) Acct: 3.15 (3.43) proj_loss: -0.5129 (-0.5164) time: 0.4924 data: 0.0003
[11-23 00:04:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:06:55 tlr: 0.00023 tnm: 0.37 Lm: 6.788 (6.776) Lt: 6.142 (6.117) Accm: 2.71 (2.76) Acct: 3.96 (4.33) proj_loss: -0.5080 (-0.5106) time: 0.4924 data: 0.0003
[11-23 00:04:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:06:55 tlr: 0.00023 tnm: 0.37 Lm: 6.800 (6.821) Lt: 6.112 (6.156) Accm: 2.51 (2.59) Acct: 3.77 (3.86) proj_loss: -0.5190 (-0.5199) time: 0.4924 data: 0.0003
[11-23 00:04:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:06:55 tlr: 0.00023 tnm: 0.37 Lm: 6.922 (6.912) Lt: 6.259 (6.252) Accm: 2.37 (2.28) Acct: 3.65 (3.63) proj_loss: -0.5239 (-0.5268) time: 0.4924 data: 0.0003
[11-23 00:08:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:03:29 tlr: 0.00023 tnm: 0.32 Lm: 6.899 (6.880) Lt: 6.241 (6.208) Accm: 2.38 (2.32) Acct: 3.77 (3.69) proj_loss: -0.5220 (-0.5224) time: 0.4884 data: 0.0003
[11-23 00:08:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:03:29 tlr: 0.00023 tnm: 0.32 Lm: 6.969 (6.952) Lt: 6.299 (6.292) Accm: 2.24 (2.26) Acct: 3.62 (3.59) proj_loss: -0.5115 (-0.5148) time: 0.4883 data: 0.0003
[11-23 00:08:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:03:29 tlr: 0.00023 tnm: 0.32 Lm: 6.848 (6.820) Lt: 6.202 (6.165) Accm: 2.49 (2.64) Acct: 3.84 (4.07) proj_loss: -0.5123 (-0.5146) time: 0.4883 data: 0.0003
[11-23 00:08:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:03:29 tlr: 0.00023 tnm: 0.32 Lm: 6.805 (6.818) Lt: 6.099 (6.138) Accm: 2.50 (2.56) Acct: 3.87 (3.88) proj_loss: -0.5202 (-0.5203) time: 0.4884 data: 0.0003
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.810 (6.844) Lt: 6.112 (6.163) Accm: 2.49 (2.52) Acct: 3.77 (3.84) proj_loss: -0.5190 (-0.5191) time: 0.4908 data: 0.0018
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:13:51 (0.498 s / it)
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.876 (6.854) Lt: 6.223 (6.184) Accm: 2.39 (2.44) Acct: 3.89 (3.85) proj_loss: -0.5201 (-0.5205) time: 0.4908 data: 0.0018
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.939 (6.924) Lt: 6.245 (6.259) Accm: 2.47 (2.30) Acct: 3.96 (3.67) proj_loss: -0.5129 (-0.5155) time: 0.4908 data: 0.0018
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.830 (6.822) Lt: 6.143 (6.160) Accm: 2.53 (2.62) Acct: 3.79 (4.01) proj_loss: -0.5166 (-0.5173) time: 0.4908 data: 0.0019
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:13:51 (0.498 s / it)
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:13:51 (0.498 s / it)
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:13:51 (0.498 s / it)
[11-23 00:11:43] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.874 (6.876), Lt: 6.197 (6.202), Acc m&t: 2.46 3.87, Remain: 3 days, 0:35:34, Finish: 2024-11-25 08:47
[11-23 00:11:43] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.874 (6.876), Lt: 6.197 (6.202), Acc m&t: 2.46 3.87, Remain: 3 days, 0:31:39, Finish: 2024-11-25 08:43
[11-23 00:11:43] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.874 (6.876), Lt: 6.197 (6.202), Acc m&t: 2.46 3.87, Remain: 3 days, 0:36:11, Finish: 2024-11-25 08:47
[11-23 00:11:43] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.874 (6.876), Lt: 6.197 (6.202), Acc m&t: 2.46 3.87, Remain: 3 days, 0:35:57, Finish: 2024-11-25 08:47
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:13:39 tlr: 0.00023 tnm: 0.31 Lm: 6.871 (6.871) Lt: 6.196 (6.196) Accm: 2.39 (2.39) Acct: 3.65 (3.65) proj_loss: -0.5115 (-0.5115) time: 0.4907 data: 0.0003
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:13:38 tlr: 0.00023 tnm: 0.31 Lm: 6.937 (6.937) Lt: 6.249 (6.249) Accm: 2.32 (2.32) Acct: 3.55 (3.55) proj_loss: -0.5270 (-0.5270) time: 0.4905 data: 0.0003
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:13:38 tlr: 0.00023 tnm: 0.31 Lm: 6.871 (6.871) Lt: 6.236 (6.236) Accm: 2.47 (2.47) Acct: 3.81 (3.81) proj_loss: -0.5413 (-0.5413) time: 0.4905 data: 0.0003
[11-23 00:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:13:38 tlr: 0.00023 tnm: 0.31 Lm: 7.030 (7.030) Lt: 6.341 (6.341) Accm: 2.16 (2.16) Acct: 3.58 (3.58) proj_loss: -0.5146 (-0.5146) time: 0.4905 data: 0.0004
[11-23 00:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.31 Lm: 6.923 (6.923) Lt: 6.246 (6.246) Accm: 2.34 (2.34) Acct: 3.82 (3.82) proj_loss: -0.5181 (-0.5181) time: 0.4876 data: 0.0003
[11-23 00:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.31 Lm: 6.911 (6.911) Lt: 6.213 (6.213) Accm: 2.36 (2.36) Acct: 3.62 (3.62) proj_loss: -0.5234 (-0.5234) time: 0.4876 data: 0.0003
[11-23 00:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.31 Lm: 6.881 (6.881) Lt: 6.225 (6.225) Accm: 2.38 (2.38) Acct: 3.72 (3.72) proj_loss: -0.5212 (-0.5212) time: 0.4876 data: 0.0002
[11-23 00:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.31 Lm: 6.851 (6.851) Lt: 6.153 (6.153) Accm: 2.44 (2.44) Acct: 3.85 (3.85) proj_loss: -0.5182 (-0.5182) time: 0.4876 data: 0.0002
[11-23 00:18:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.32 Lm: 6.830 (6.840) Lt: 6.134 (6.147) Accm: 2.39 (2.38) Acct: 3.65 (3.72) proj_loss: -0.5236 (-0.5200) time: 0.4897 data: 0.0002
[11-23 00:18:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.32 Lm: 6.885 (6.895) Lt: 6.177 (6.185) Accm: 2.40 (2.48) Acct: 3.68 (3.82) proj_loss: -0.5270 (-0.5279) time: 0.4897 data: 0.0003
[11-23 00:18:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.32 Lm: 6.871 (6.864) Lt: 6.214 (6.209) Accm: 2.42 (2.39) Acct: 3.81 (3.75) proj_loss: -0.5324 (-0.5250) time: 0.4897 data: 0.0003
[11-23 00:18:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.32 Lm: 7.005 (6.951) Lt: 6.332 (6.275) Accm: 2.16 (2.27) Acct: 3.58 (3.68) proj_loss: -0.5211 (-0.5191) time: 0.4897 data: 0.0003
[11-23 00:21:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.34 Lm: 6.951 (6.937) Lt: 6.273 (6.259) Accm: 2.28 (2.30) Acct: 3.63 (3.68) proj_loss: -0.5196 (-0.5188) time: 0.4883 data: 0.0003
[11-23 00:21:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.34 Lm: 6.881 (6.908) Lt: 6.225 (6.244) Accm: 2.35 (2.36) Acct: 3.72 (3.71) proj_loss: -0.5286 (-0.5249) time: 0.4883 data: 0.0003
[11-23 00:21:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.34 Lm: 6.851 (6.855) Lt: 6.165 (6.160) Accm: 2.33 (2.35) Acct: 3.56 (3.65) proj_loss: -0.5242 (-0.5220) time: 0.4883 data: 0.0003
[11-23 00:21:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.34 Lm: 6.873 (6.880) Lt: 6.171 (6.180) Accm: 2.41 (2.47) Acct: 3.80 (3.84) proj_loss: -0.5234 (-0.5251) time: 0.4883 data: 0.0003
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.32 Lm: 6.861 (6.875) Lt: 6.177 (6.180) Accm: 2.43 (2.48) Acct: 3.89 (3.85) proj_loss: -0.5198 (-0.5238) time: 0.4932 data: 0.0017
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:13:47 (0.496 s / it)
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.32 Lm: 6.871 (6.860) Lt: 6.196 (6.173) Accm: 2.35 (2.35) Acct: 3.46 (3.60) proj_loss: -0.5236 (-0.5167) time: 0.4932 data: 0.0015
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.32 Lm: 6.892 (6.907) Lt: 6.236 (6.248) Accm: 2.29 (2.33) Acct: 3.63 (3.61) proj_loss: -0.5324 (-0.5270) time: 0.4932 data: 0.0016
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.32 Lm: 6.936 (6.937) Lt: 6.332 (6.275) Accm: 2.40 (2.33) Acct: 3.63 (3.67) proj_loss: -0.5182 (-0.5172) time: 0.4932 data: 0.0021
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:13:47 (0.496 s / it)
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:13:47 (0.496 s / it)
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:13:47 (0.496 s / it)
[11-23 00:25:30] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.874 (6.875), Lt: 6.197 (6.197), Acc m&t: 2.46 3.87, Remain: 3 days, 0:22:25, Finish: 2024-11-25 08:47
[11-23 00:25:30] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.874 (6.875), Lt: 6.197 (6.197), Acc m&t: 2.46 3.87, Remain: 3 days, 0:21:42, Finish: 2024-11-25 08:47
[11-23 00:25:30] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.874 (6.875), Lt: 6.197 (6.197), Acc m&t: 2.46 3.87, Remain: 3 days, 0:22:18, Finish: 2024-11-25 08:47
[11-23 00:25:30] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.874 (6.875), Lt: 6.197 (6.197), Acc m&t: 2.46 3.87, Remain: 3 days, 0:25:18, Finish: 2024-11-25 08:50
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:12:59 tlr: 0.00023 tnm: 0.30 Lm: 6.858 (6.858) Lt: 6.180 (6.180) Accm: 2.45 (2.45) Acct: 3.98 (3.98) proj_loss: -0.5229 (-0.5229) time: 0.4668 data: 0.0004
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:12:59 tlr: 0.00023 tnm: 0.30 Lm: 6.737 (6.737) Lt: 6.064 (6.064) Accm: 2.72 (2.72) Acct: 4.27 (4.27) proj_loss: -0.5288 (-0.5288) time: 0.4671 data: 0.0003
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:12:59 tlr: 0.00023 tnm: 0.30 Lm: 6.896 (6.896) Lt: 6.200 (6.200) Accm: 2.48 (2.48) Acct: 3.86 (3.86) proj_loss: -0.5007 (-0.5007) time: 0.4673 data: 0.0004
[11-23 00:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:12:54 tlr: 0.00023 tnm: 0.30 Lm: 6.903 (6.903) Lt: 6.232 (6.232) Accm: 2.26 (2.26) Acct: 3.41 (3.41) proj_loss: -0.5284 (-0.5284) time: 0.4643 data: 0.0004
[11-23 00:28:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.33 Lm: 6.965 (6.965) Lt: 6.303 (6.303) Accm: 2.13 (2.13) Acct: 3.27 (3.27) proj_loss: -0.5166 (-0.5166) time: 0.4872 data: 0.0003
[11-23 00:28:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.33 Lm: 6.846 (6.846) Lt: 6.171 (6.171) Accm: 2.52 (2.52) Acct: 3.88 (3.88) proj_loss: -0.5117 (-0.5117) time: 0.4872 data: 0.0003
[11-23 00:28:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.33 Lm: 6.888 (6.888) Lt: 6.242 (6.242) Accm: 2.40 (2.40) Acct: 3.93 (3.93) proj_loss: -0.5321 (-0.5321) time: 0.4872 data: 0.0003
[11-23 00:28:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.33 Lm: 6.762 (6.762) Lt: 6.100 (6.100) Accm: 2.73 (2.73) Acct: 4.17 (4.17) proj_loss: -0.5236 (-0.5236) time: 0.4872 data: 0.0002
[11-23 00:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:06:52 tlr: 0.00023 tnm: 0.30 Lm: 6.781 (6.769) Lt: 6.137 (6.114) Accm: 2.73 (2.75) Acct: 4.06 (4.12) proj_loss: -0.5260 (-0.5244) time: 0.4897 data: 0.0003
[11-23 00:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:06:52 tlr: 0.00023 tnm: 0.30 Lm: 6.903 (6.939) Lt: 6.232 (6.268) Accm: 2.13 (2.13) Acct: 3.27 (3.27) proj_loss: -0.5052 (-0.5128) time: 0.4897 data: 0.0003
[11-23 00:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:06:52 tlr: 0.00023 tnm: 0.30 Lm: 6.917 (6.900) Lt: 6.231 (6.238) Accm: 2.34 (2.35) Acct: 3.87 (3.74) proj_loss: -0.5229 (-0.5245) time: 0.4897 data: 0.0003
[11-23 00:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:06:52 tlr: 0.00023 tnm: 0.30 Lm: 6.797 (6.826) Lt: 6.142 (6.145) Accm: 2.55 (2.54) Acct: 3.86 (3.87) proj_loss: -0.5227 (-0.5173) time: 0.4897 data: 0.0003
[11-23 00:35:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.34 Lm: 6.846 (6.867) Lt: 6.171 (6.188) Accm: 2.52 (2.43) Acct: 3.86 (3.77) proj_loss: -0.5145 (-0.5146) time: 0.4888 data: 0.0003
[11-23 00:35:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.34 Lm: 6.910 (6.901) Lt: 6.209 (6.225) Accm: 2.33 (2.34) Acct: 3.81 (3.74) proj_loss: -0.5215 (-0.5234) time: 0.4888 data: 0.0002
[11-23 00:35:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.34 Lm: 6.784 (6.779) Lt: 6.111 (6.107) Accm: 2.73 (2.72) Acct: 4.04 (4.08) proj_loss: -0.5222 (-0.5216) time: 0.4888 data: 0.0003
[11-23 00:35:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.34 Lm: 6.894 (6.914) Lt: 6.214 (6.231) Accm: 2.19 (2.26) Acct: 3.34 (3.50) proj_loss: -0.5168 (-0.5187) time: 0.4888 data: 0.0003
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.886 (6.908) Lt: 6.219 (6.228) Accm: 2.26 (2.28) Acct: 3.41 (3.56) proj_loss: -0.5228 (-0.5195) time: 0.4893 data: 0.0021
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:13:37 (0.490 s / it)
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.787 (6.781) Lt: 6.085 (6.094) Accm: 2.72 (2.71) Acct: 4.06 (4.09) proj_loss: -0.5185 (-0.5161) time: 0.4893 data: 0.0018
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.903 (6.891) Lt: 6.208 (6.222) Accm: 2.32 (2.32) Acct: 3.74 (3.68) proj_loss: -0.5202 (-0.5206) time: 0.4893 data: 0.0016
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.797 (6.835) Lt: 6.142 (6.149) Accm: 2.55 (2.51) Acct: 3.86 (3.93) proj_loss: -0.5227 (-0.5165) time: 0.4893 data: 0.0019
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:13:37 (0.490 s / it)
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:13:37 (0.490 s / it)
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:13:37 (0.490 s / it)
[11-23 00:39:08] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.864 (6.864), Lt: 6.183 (6.183), Acc m&t: 2.47 3.87, Remain: 2 days, 23:46:28, Finish: 2024-11-25 08:25
[11-23 00:39:08] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.864 (6.864), Lt: 6.183 (6.183), Acc m&t: 2.47 3.87, Remain: 2 days, 23:44:38, Finish: 2024-11-25 08:23
[11-23 00:39:08] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.864 (6.864), Lt: 6.183 (6.183), Acc m&t: 2.47 3.87, Remain: 2 days, 23:44:09, Finish: 2024-11-25 08:23
[11-23 00:39:08] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.864 (6.864), Lt: 6.183 (6.183), Acc m&t: 2.47 3.87, Remain: 2 days, 23:44:45, Finish: 2024-11-25 08:23
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:12:48 tlr: 0.00023 tnm: 0.34 Lm: 6.899 (6.899) Lt: 6.237 (6.237) Accm: 2.35 (2.35) Acct: 3.62 (3.62) proj_loss: -0.5213 (-0.5213) time: 0.4602 data: 0.0004
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:12:49 tlr: 0.00023 tnm: 0.34 Lm: 6.786 (6.786) Lt: 6.097 (6.097) Accm: 2.62 (2.62) Acct: 3.98 (3.98) proj_loss: -0.5194 (-0.5194) time: 0.4609 data: 0.0004
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:12:49 tlr: 0.00023 tnm: 0.34 Lm: 7.034 (7.034) Lt: 6.351 (6.351) Accm: 2.05 (2.05) Acct: 3.12 (3.12) proj_loss: -0.5160 (-0.5160) time: 0.4609 data: 0.0003
[11-23 00:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:12:48 tlr: 0.00023 tnm: 0.34 Lm: 6.965 (6.965) Lt: 6.298 (6.298) Accm: 2.35 (2.35) Acct: 3.87 (3.87) proj_loss: -0.5212 (-0.5212) time: 0.4606 data: 0.0003
[11-23 00:42:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.34 Lm: 6.915 (6.915) Lt: 6.262 (6.262) Accm: 2.30 (2.30) Acct: 3.61 (3.61) proj_loss: -0.5200 (-0.5200) time: 0.4892 data: 0.0003
[11-23 00:42:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.34 Lm: 6.754 (6.754) Lt: 6.050 (6.050) Accm: 2.70 (2.70) Acct: 4.22 (4.22) proj_loss: -0.5266 (-0.5266) time: 0.4892 data: 0.0003
[11-23 00:42:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.34 Lm: 6.937 (6.937) Lt: 6.261 (6.261) Accm: 2.50 (2.50) Acct: 4.05 (4.05) proj_loss: -0.5203 (-0.5203) time: 0.4893 data: 0.0003
[11-23 00:42:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.34 Lm: 6.960 (6.960) Lt: 6.285 (6.285) Accm: 2.12 (2.12) Acct: 3.23 (3.23) proj_loss: -0.5074 (-0.5074) time: 0.4892 data: 0.0003
[11-23 00:46:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:07:04 tlr: 0.00023 tnm: 0.30 Lm: 6.937 (6.952) Lt: 6.302 (6.290) Accm: 2.05 (2.05) Acct: 3.12 (3.19) proj_loss: -0.5160 (-0.5140) time: 0.4876 data: 0.0003
[11-23 00:46:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:07:04 tlr: 0.00023 tnm: 0.30 Lm: 6.910 (6.927) Lt: 6.230 (6.251) Accm: 2.35 (2.41) Acct: 3.87 (3.84) proj_loss: -0.5212 (-0.5219) time: 0.4875 data: 0.0003
[11-23 00:46:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:07:04 tlr: 0.00023 tnm: 0.30 Lm: 6.899 (6.882) Lt: 6.237 (6.213) Accm: 2.35 (2.40) Acct: 3.62 (3.76) proj_loss: -0.5188 (-0.5184) time: 0.4875 data: 0.0002
[11-23 00:46:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:07:04 tlr: 0.00023 tnm: 0.30 Lm: 6.721 (6.741) Lt: 6.067 (6.056) Accm: 2.78 (2.73) Acct: 4.17 (4.20) proj_loss: -0.5254 (-0.5262) time: 0.4876 data: 0.0003
[11-23 00:49:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:03:29 tlr: 0.00023 tnm: 0.33 Lm: 6.748 (6.749) Lt: 6.082 (6.069) Accm: 2.78 (2.77) Acct: 4.29 (4.25) proj_loss: -0.5234 (-0.5250) time: 0.4891 data: 0.0003
[11-23 00:49:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:03:29 tlr: 0.00023 tnm: 0.33 Lm: 6.867 (6.870) Lt: 6.204 (6.203) Accm: 2.48 (2.47) Acct: 3.77 (3.80) proj_loss: -0.5200 (-0.5202) time: 0.4890 data: 0.0002
[11-23 00:49:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:03:29 tlr: 0.00023 tnm: 0.33 Lm: 6.908 (6.897) Lt: 6.227 (6.225) Accm: 2.47 (2.46) Acct: 3.98 (3.90) proj_loss: -0.5203 (-0.5198) time: 0.4890 data: 0.0003
[11-23 00:49:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:03:29 tlr: 0.00023 tnm: 0.33 Lm: 6.912 (6.929) Lt: 6.260 (6.269) Accm: 2.12 (2.17) Acct: 3.23 (3.32) proj_loss: -0.5076 (-0.5103) time: 0.4891 data: 0.0003
[11-23 00:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.937 (6.952) Lt: 6.302 (6.298) Accm: 2.12 (2.16) Acct: 3.20 (3.30) proj_loss: -0.5160 (-0.5177) time: 0.4878 data: 0.0019
[11-23 00:53:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:13:53 (0.499 s / it)
[11-23 00:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.899 (6.882) Lt: 6.237 (6.216) Accm: 2.40 (2.45) Acct: 3.70 (3.78) proj_loss: -0.5213 (-0.5222) time: 0.4878 data: 0.0017
[11-23 00:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.721 (6.720) Lt: 6.067 (6.036) Accm: 2.79 (2.79) Acct: 4.41 (4.30) proj_loss: -0.5254 (-0.5253) time: 0.4878 data: 0.0015
[11-23 00:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.910 (6.913) Lt: 6.230 (6.242) Accm: 2.35 (2.38) Acct: 3.87 (3.77) proj_loss: -0.5194 (-0.5184) time: 0.4878 data: 0.0019
[11-23 00:53:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:13:53 (0.499 s / it)
[11-23 00:53:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:13:53 (0.499 s / it)
[11-23 00:53:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:13:53 (0.499 s / it)
[11-23 00:53:01] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.856 (6.856), Lt: 6.177 (6.177), Acc m&t: 2.48 3.87, Remain: 2 days, 23:05:13, Finish: 2024-11-25 07:58
[11-23 00:53:01] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.856 (6.856), Lt: 6.177 (6.177), Acc m&t: 2.48 3.87, Remain: 2 days, 23:04:40, Finish: 2024-11-25 07:57
[11-23 00:53:01] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.856 (6.856), Lt: 6.177 (6.177), Acc m&t: 2.48 3.87, Remain: 2 days, 23:05:30, Finish: 2024-11-25 07:58
[11-23 00:53:01] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.856 (6.856), Lt: 6.177 (6.177), Acc m&t: 2.48 3.87, Remain: 2 days, 23:04:33, Finish: 2024-11-25 07:57
[11-23 00:53:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:13:00 tlr: 0.00023 tnm: 0.30 Lm: 6.899 (6.899) Lt: 6.193 (6.193) Accm: 2.54 (2.54) Acct: 4.18 (4.18) proj_loss: -0.5376 (-0.5376) time: 0.4674 data: 0.0004
[11-23 00:53:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:12:58 tlr: 0.00023 tnm: 0.30 Lm: 6.828 (6.828) Lt: 6.142 (6.142) Accm: 2.45 (2.45) Acct: 3.96 (3.96) proj_loss: -0.5293 (-0.5293) time: 0.4666 data: 0.0003
[11-23 00:53:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:12:42 tlr: 0.00023 tnm: 0.30 Lm: 6.815 (6.815) Lt: 6.122 (6.122) Accm: 2.65 (2.65) Acct: 4.20 (4.20) proj_loss: -0.5109 (-0.5109) time: 0.4570 data: 0.0003
[11-23 00:53:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:13:05 tlr: 0.00023 tnm: 0.30 Lm: 6.721 (6.721) Lt: 6.068 (6.068) Accm: 3.01 (3.01) Acct: 4.46 (4.46) proj_loss: -0.5245 (-0.5245) time: 0.4707 data: 0.0003
[11-23 00:56:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.28 Lm: 6.712 (6.712) Lt: 6.046 (6.046) Accm: 3.01 (3.01) Acct: 4.65 (4.65) proj_loss: -0.5226 (-0.5226) time: 0.4844 data: 0.0003
[11-23 00:56:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.28 Lm: 6.873 (6.873) Lt: 6.191 (6.191) Accm: 2.33 (2.33) Acct: 3.80 (3.80) proj_loss: -0.5408 (-0.5408) time: 0.4844 data: 0.0003
[11-23 00:56:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.28 Lm: 6.832 (6.832) Lt: 6.157 (6.157) Accm: 2.59 (2.59) Acct: 4.05 (4.05) proj_loss: -0.5147 (-0.5147) time: 0.4844 data: 0.0003
[11-23 00:56:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:10:09 tlr: 0.00023 tnm: 0.28 Lm: 6.862 (6.862) Lt: 6.150 (6.150) Accm: 2.49 (2.49) Acct: 3.90 (3.90) proj_loss: -0.5372 (-0.5372) time: 0.4844 data: 0.0003
[11-23 00:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.30 Lm: 6.899 (6.911) Lt: 6.193 (6.224) Accm: 2.43 (2.46) Acct: 3.84 (3.88) proj_loss: -0.5376 (-0.5384) time: 0.4867 data: 0.0003
[11-23 00:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.30 Lm: 6.721 (6.737) Lt: 6.068 (6.066) Accm: 3.01 (2.91) Acct: 4.46 (4.52) proj_loss: -0.5245 (-0.5278) time: 0.4867 data: 0.0003
[11-23 00:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.30 Lm: 6.828 (6.831) Lt: 6.142 (6.149) Accm: 2.45 (2.38) Acct: 3.75 (3.78) proj_loss: -0.5407 (-0.5407) time: 0.4867 data: 0.0003
[11-23 00:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:06:46 tlr: 0.00023 tnm: 0.30 Lm: 6.850 (6.897) Lt: 6.192 (6.230) Accm: 2.52 (2.49) Acct: 3.91 (3.90) proj_loss: -0.5176 (-0.5157) time: 0.4867 data: 0.0003
[11-23 01:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.30 Lm: 6.832 (6.839) Lt: 6.157 (6.159) Accm: 2.59 (2.62) Acct: 4.05 (4.12) proj_loss: -0.5147 (-0.5147) time: 0.4861 data: 0.0003
[11-23 01:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.30 Lm: 6.754 (6.792) Lt: 6.086 (6.107) Accm: 2.87 (2.75) Acct: 4.36 (4.30) proj_loss: -0.5226 (-0.5236) time: 0.4861 data: 0.0002
[11-23 01:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.30 Lm: 6.862 (6.857) Lt: 6.150 (6.174) Accm: 2.49 (2.53) Acct: 3.99 (3.94) proj_loss: -0.5372 (-0.5342) time: 0.4861 data: 0.0002
[11-23 01:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.30 Lm: 6.836 (6.834) Lt: 6.125 (6.138) Accm: 2.46 (2.41) Acct: 3.86 (3.87) proj_loss: -0.5350 (-0.5282) time: 0.4861 data: 0.0003
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.845 (6.857) Lt: 6.142 (6.164) Accm: 2.45 (2.34) Acct: 3.75 (3.73) proj_loss: -0.5293 (-0.5234) time: 0.4863 data: 0.0015
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:13:46 (0.495 s / it)
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.788 (6.799) Lt: 6.105 (6.115) Accm: 2.72 (2.66) Acct: 4.25 (4.15) proj_loss: -0.5206 (-0.5227) time: 0.4863 data: 0.0016
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.815 (6.827) Lt: 6.122 (6.137) Accm: 2.59 (2.62) Acct: 4.05 (4.10) proj_loss: -0.5119 (-0.5129) time: 0.4863 data: 0.0018
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.826 (6.846) Lt: 6.132 (6.166) Accm: 2.43 (2.51) Acct: 3.84 (3.89) proj_loss: -0.5376 (-0.5356) time: 0.4863 data: 0.0019
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:13:46 (0.495 s / it)
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:13:46 (0.495 s / it)
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:13:46 (0.495 s / it)
[11-23 01:06:48] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.834 (6.834), Lt: 6.144 (6.144), Acc m&t: 2.55 3.99, Remain: 2 days, 23:00:27, Finish: 2024-11-25 08:07
[11-23 01:06:48] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.834 (6.834), Lt: 6.144 (6.144), Acc m&t: 2.55 3.99, Remain: 2 days, 23:00:53, Finish: 2024-11-25 08:07
[11-23 01:06:48] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.834 (6.834), Lt: 6.144 (6.144), Acc m&t: 2.55 3.99, Remain: 2 days, 23:02:12, Finish: 2024-11-25 08:09
[11-23 01:06:48] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.834 (6.834), Lt: 6.144 (6.144), Acc m&t: 2.55 3.99, Remain: 2 days, 23:01:24, Finish: 2024-11-25 08:08
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:12:53 tlr: 0.00023 tnm: 0.33 Lm: 6.802 (6.802) Lt: 6.141 (6.141) Accm: 2.55 (2.55) Acct: 3.81 (3.81) proj_loss: -0.5134 (-0.5134) time: 0.4634 data: 0.0003
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:12:52 tlr: 0.00023 tnm: 0.33 Lm: 6.896 (6.896) Lt: 6.235 (6.235) Accm: 2.53 (2.53) Acct: 3.84 (3.84) proj_loss: -0.5076 (-0.5076) time: 0.4626 data: 0.0003
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:13:11 tlr: 0.00023 tnm: 0.33 Lm: 6.837 (6.837) Lt: 6.107 (6.107) Accm: 2.63 (2.63) Acct: 4.29 (4.29) proj_loss: -0.4922 (-0.4922) time: 0.4741 data: 0.0003
[11-23 01:06:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:12:53 tlr: 0.00023 tnm: 0.33 Lm: 6.842 (6.842) Lt: 6.130 (6.130) Accm: 2.38 (2.38) Acct: 3.75 (3.75) proj_loss: -0.5272 (-0.5272) time: 0.4636 data: 0.0003
[11-23 01:10:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:10:23 tlr: 0.00023 tnm: 0.31 Lm: 6.787 (6.787) Lt: 6.054 (6.054) Accm: 2.68 (2.68) Acct: 4.20 (4.20) proj_loss: -0.5224 (-0.5224) time: 0.4856 data: 0.0003
[11-23 01:10:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:10:23 tlr: 0.00023 tnm: 0.31 Lm: 6.833 (6.833) Lt: 6.170 (6.170) Accm: 2.68 (2.68) Acct: 4.11 (4.11) proj_loss: -0.5138 (-0.5138) time: 0.4856 data: 0.0003
[11-23 01:10:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:10:23 tlr: 0.00023 tnm: 0.31 Lm: 6.771 (6.771) Lt: 6.059 (6.059) Accm: 2.70 (2.70) Acct: 4.10 (4.10) proj_loss: -0.5100 (-0.5100) time: 0.4856 data: 0.0003
[11-23 01:10:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:10:23 tlr: 0.00023 tnm: 0.31 Lm: 6.825 (6.825) Lt: 6.137 (6.137) Accm: 2.58 (2.58) Acct: 4.02 (4.02) proj_loss: -0.5087 (-0.5087) time: 0.4856 data: 0.0003
[11-23 01:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:06:51 tlr: 0.00023 tnm: 0.31 Lm: 6.813 (6.791) Lt: 6.107 (6.081) Accm: 2.63 (2.68) Acct: 4.29 (4.12) proj_loss: -0.5118 (-0.5097) time: 0.4912 data: 0.0003
[11-23 01:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:06:51 tlr: 0.00023 tnm: 0.31 Lm: 6.896 (6.851) Lt: 6.235 (6.178) Accm: 2.53 (2.50) Acct: 3.84 (3.81) proj_loss: -0.5124 (-0.5166) time: 0.4912 data: 0.0003
[11-23 01:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:06:51 tlr: 0.00023 tnm: 0.31 Lm: 6.802 (6.799) Lt: 6.141 (6.116) Accm: 2.80 (2.72) Acct: 4.41 (4.22) proj_loss: -0.5142 (-0.5145) time: 0.4912 data: 0.0003
[11-23 01:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:06:51 tlr: 0.00023 tnm: 0.31 Lm: 6.842 (6.847) Lt: 6.130 (6.144) Accm: 2.38 (2.49) Acct: 3.75 (3.93) proj_loss: -0.5272 (-0.5322) time: 0.4912 data: 0.0003
[11-23 01:17:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.33 Lm: 6.866 (6.858) Lt: 6.153 (6.152) Accm: 2.29 (2.42) Acct: 3.59 (3.81) proj_loss: -0.5229 (-0.5288) time: 0.4860 data: 0.0002
[11-23 01:17:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.33 Lm: 6.833 (6.821) Lt: 6.170 (6.143) Accm: 2.68 (2.60) Acct: 4.11 (4.05) proj_loss: -0.5151 (-0.5196) time: 0.4860 data: 0.0003
[11-23 01:17:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.33 Lm: 6.825 (6.809) Lt: 6.137 (6.108) Accm: 2.68 (2.69) Acct: 4.24 (4.14) proj_loss: -0.5185 (-0.5198) time: 0.4860 data: 0.0003
[11-23 01:17:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:03:25 tlr: 0.00023 tnm: 0.33 Lm: 6.818 (6.823) Lt: 6.134 (6.142) Accm: 2.64 (2.56) Acct: 4.10 (4.00) proj_loss: -0.5193 (-0.5190) time: 0.4860 data: 0.0003
[11-23 01:20:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.837 (6.826) Lt: 6.180 (6.150) Accm: 2.62 (2.57) Acct: 3.99 (4.00) proj_loss: -0.5263 (-0.5212) time: 0.4868 data: 0.0020
[11-23 01:20:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:13:39 (0.491 s / it)
[11-23 01:20:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.889 (6.869) Lt: 6.175 (6.167) Accm: 2.38 (2.41) Acct: 3.75 (3.83) proj_loss: -0.5272 (-0.5301) time: 0.4868 data: 0.0018
[11-23 01:20:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.813 (6.808) Lt: 6.107 (6.103) Accm: 2.63 (2.67) Acct: 4.18 (4.14) proj_loss: -0.5252 (-0.5211) time: 0.4868 data: 0.0018
[11-23 01:20:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.861 (6.829) Lt: 6.182 (6.150) Accm: 2.55 (2.54) Acct: 3.81 (3.97) proj_loss: -0.5159 (-0.5203) time: 0.4868 data: 0.0018
[11-23 01:20:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:13:39 (0.491 s / it)
[11-23 01:20:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:13:39 (0.491 s / it)
[11-23 01:20:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:13:39 (0.491 s / it)
[11-23 01:22:37] (home/user/VAR/trainer.py, line 114)=> FID: 5.69673113302207
[11-23 01:22:37] (/home/user/VAR/train.py , line 259)=> [*] [ep39] (val 50000) Lm: 6.8410, Lt: 6.1516, Acc m&t: 2.53 3.95, Val cost: 129.58s
[11-23 01:22:37] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-23 01:22:59] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.834 (6.841), Lt: 6.144 (6.152), Acc m&t: 2.55 3.99, Remain: 2 days, 22:46:26, Finish: 2024-11-25 08:06
[11-23 01:22:59] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.834 (6.841), Lt: 6.144 (6.152), Acc m&t: 2.55 3.99, Remain: 2 days, 22:45:46, Finish: 2024-11-25 08:06
[11-23 01:22:59] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.834 (6.841), Lt: 6.144 (6.152), Acc m&t: 2.55 3.99, Remain: 2 days, 22:47:05, Finish: 2024-11-25 08:07
[11-23 01:22:59] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.834 (6.841), Lt: 6.144 (6.152), Acc m&t: 2.55 3.99, Remain: 2 days, 22:46:53, Finish: 2024-11-25 08:07
[11-23 01:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:13:34 tlr: 0.00023 tnm: 0.31 Lm: 6.960 (6.960) Lt: 6.318 (6.318) Accm: 2.16 (2.16) Acct: 3.24 (3.24) proj_loss: -0.5342 (-0.5342) time: 0.4881 data: 0.0004
[11-23 01:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:13:28 tlr: 0.00023 tnm: 0.31 Lm: 6.855 (6.855) Lt: 6.182 (6.182) Accm: 2.41 (2.41) Acct: 4.08 (4.08) proj_loss: -0.5116 (-0.5116) time: 0.4842 data: 0.0004
[11-23 01:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:13:33 tlr: 0.00023 tnm: 0.31 Lm: 6.897 (6.897) Lt: 6.239 (6.239) Accm: 2.34 (2.34) Acct: 3.58 (3.58) proj_loss: -0.5087 (-0.5087) time: 0.4874 data: 0.0003
[11-23 01:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:13:28 tlr: 0.00023 tnm: 0.31 Lm: 6.933 (6.933) Lt: 6.288 (6.288) Accm: 2.25 (2.25) Acct: 3.43 (3.43) proj_loss: -0.5204 (-0.5204) time: 0.4842 data: 0.0003
[11-23 01:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:10:17 tlr: 0.00023 tnm: 0.28 Lm: 6.823 (6.823) Lt: 6.113 (6.113) Accm: 2.65 (2.65) Acct: 4.17 (4.17) proj_loss: -0.5196 (-0.5196) time: 0.4862 data: 0.0003
[11-23 01:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:10:17 tlr: 0.00023 tnm: 0.28 Lm: 6.838 (6.838) Lt: 6.128 (6.128) Accm: 2.52 (2.52) Acct: 3.86 (3.86) proj_loss: -0.5281 (-0.5281) time: 0.4862 data: 0.0003
[11-23 01:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:10:17 tlr: 0.00023 tnm: 0.28 Lm: 6.814 (6.814) Lt: 6.165 (6.165) Accm: 2.53 (2.53) Acct: 3.89 (3.89) proj_loss: -0.5200 (-0.5200) time: 0.4862 data: 0.0003
[11-23 01:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:10:17 tlr: 0.00023 tnm: 0.28 Lm: 6.820 (6.820) Lt: 6.154 (6.154) Accm: 2.51 (2.51) Acct: 4.02 (4.02) proj_loss: -0.5219 (-0.5219) time: 0.4862 data: 0.0003
[11-23 01:30:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:07:01 tlr: 0.00023 tnm: 0.34 Lm: 6.785 (6.786) Lt: 6.126 (6.099) Accm: 2.60 (2.62) Acct: 4.08 (4.28) proj_loss: -0.5322 (-0.5299) time: 0.4893 data: 0.0002
[11-23 01:30:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:07:01 tlr: 0.00023 tnm: 0.34 Lm: 6.933 (6.861) Lt: 6.249 (6.158) Accm: 2.25 (2.51) Acct: 3.70 (4.01) proj_loss: -0.5202 (-0.5198) time: 0.4893 data: 0.0003
[11-23 01:30:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:07:01 tlr: 0.00023 tnm: 0.34 Lm: 6.731 (6.775) Lt: 6.091 (6.103) Accm: 2.72 (2.64) Acct: 4.20 (4.12) proj_loss: -0.5165 (-0.5189) time: 0.4893 data: 0.0003
[11-23 01:30:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:07:01 tlr: 0.00023 tnm: 0.34 Lm: 6.960 (6.886) Lt: 6.318 (6.197) Accm: 2.27 (2.44) Acct: 3.41 (3.71) proj_loss: -0.5284 (-0.5282) time: 0.4893 data: 0.0002
[11-23 01:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:03:28 tlr: 0.00023 tnm: 0.30 Lm: 6.914 (6.881) Lt: 6.262 (6.199) Accm: 2.37 (2.45) Acct: 3.53 (3.69) proj_loss: -0.5252 (-0.5256) time: 0.4881 data: 0.0002
[11-23 01:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:03:28 tlr: 0.00023 tnm: 0.30 Lm: 6.814 (6.840) Lt: 6.165 (6.179) Accm: 2.56 (2.58) Acct: 3.96 (4.02) proj_loss: -0.5228 (-0.5214) time: 0.4881 data: 0.0003
[11-23 01:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:03:28 tlr: 0.00023 tnm: 0.30 Lm: 6.820 (6.832) Lt: 6.154 (6.149) Accm: 2.51 (2.55) Acct: 4.02 (4.12) proj_loss: -0.5269 (-0.5278) time: 0.4881 data: 0.0002
[11-23 01:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:03:28 tlr: 0.00023 tnm: 0.30 Lm: 6.896 (6.861) Lt: 6.205 (6.159) Accm: 2.38 (2.51) Acct: 3.74 (3.95) proj_loss: -0.5203 (-0.5238) time: 0.4881 data: 0.0003
[11-23 01:36:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.860 (6.848) Lt: 6.161 (6.159) Accm: 2.51 (2.52) Acct: 3.77 (3.95) proj_loss: -0.5204 (-0.5276) time: 0.4852 data: 0.0018
[11-23 01:36:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:13:48 (0.496 s / it)
[11-23 01:36:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.907 (6.886) Lt: 6.226 (6.205) Accm: 2.32 (2.42) Acct: 3.43 (3.64) proj_loss: -0.5220 (-0.5230) time: 0.4853 data: 0.0017
[11-23 01:36:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.851 (6.842) Lt: 6.143 (6.171) Accm: 2.48 (2.56) Acct: 3.87 (3.99) proj_loss: -0.5290 (-0.5235) time: 0.4853 data: 0.0017
[11-23 01:36:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.844 (6.834) Lt: 6.182 (6.161) Accm: 2.57 (2.55) Acct: 3.98 (4.09) proj_loss: -0.5273 (-0.5277) time: 0.4853 data: 0.0016
[11-23 01:36:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:13:48 (0.496 s / it)
[11-23 01:36:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:13:48 (0.496 s / it)
[11-23 01:36:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:13:48 (0.496 s / it)
[11-23 01:36:47] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.834 (6.858), Lt: 6.144 (6.176), Acc m&t: 2.55 3.99, Remain: 2 days, 22:11:40, Finish: 2024-11-25 07:48
[11-23 01:36:47] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.834 (6.858), Lt: 6.144 (6.176), Acc m&t: 2.55 3.99, Remain: 2 days, 22:12:42, Finish: 2024-11-25 07:49
[11-23 01:36:47] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.834 (6.858), Lt: 6.144 (6.176), Acc m&t: 2.55 3.99, Remain: 2 days, 22:15:52, Finish: 2024-11-25 07:52
[11-23 01:36:47] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.834 (6.858), Lt: 6.144 (6.176), Acc m&t: 2.55 3.99, Remain: 2 days, 22:12:40, Finish: 2024-11-25 07:49
[11-23 01:36:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:13:52 tlr: 0.00023 tnm: 0.30 Lm: 6.859 (6.859) Lt: 6.139 (6.139) Accm: 2.50 (2.50) Acct: 3.89 (3.89) proj_loss: -0.5140 (-0.5140) time: 0.4986 data: 0.0004
[11-23 01:36:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:13:15 tlr: 0.00023 tnm: 0.30 Lm: 6.930 (6.930) Lt: 6.245 (6.245) Accm: 2.29 (2.29) Acct: 3.70 (3.70) proj_loss: -0.5182 (-0.5182) time: 0.4763 data: 0.0004
[11-23 01:36:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:13:16 tlr: 0.00023 tnm: 0.30 Lm: 6.887 (6.887) Lt: 6.198 (6.198) Accm: 2.28 (2.28) Acct: 3.70 (3.70) proj_loss: -0.5198 (-0.5198) time: 0.4774 data: 0.0003
[11-23 01:36:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:13:16 tlr: 0.00023 tnm: 0.30 Lm: 6.813 (6.813) Lt: 6.141 (6.141) Accm: 2.35 (2.35) Acct: 3.98 (3.98) proj_loss: -0.5183 (-0.5183) time: 0.4773 data: 0.0003
[11-23 01:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:10:08 tlr: 0.00023 tnm: 0.29 Lm: 6.917 (6.917) Lt: 6.255 (6.255) Accm: 2.23 (2.23) Acct: 3.68 (3.68) proj_loss: -0.5205 (-0.5205) time: 0.4825 data: 0.0003
[11-23 01:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:10:08 tlr: 0.00023 tnm: 0.29 Lm: 6.895 (6.895) Lt: 6.213 (6.213) Accm: 2.33 (2.33) Acct: 3.75 (3.75) proj_loss: -0.5231 (-0.5231) time: 0.4825 data: 0.0003
[11-23 01:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:10:08 tlr: 0.00023 tnm: 0.29 Lm: 6.940 (6.940) Lt: 6.259 (6.259) Accm: 2.13 (2.13) Acct: 3.48 (3.48) proj_loss: -0.5259 (-0.5259) time: 0.4825 data: 0.0003
[11-23 01:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:10:08 tlr: 0.00023 tnm: 0.29 Lm: 6.848 (6.848) Lt: 6.128 (6.128) Accm: 2.41 (2.41) Acct: 3.85 (3.85) proj_loss: -0.5225 (-0.5225) time: 0.4825 data: 0.0003
[11-23 01:43:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:06:45 tlr: 0.00023 tnm: 0.32 Lm: 6.930 (6.893) Lt: 6.245 (6.216) Accm: 2.29 (2.34) Acct: 3.70 (3.74) proj_loss: -0.5255 (-0.5257) time: 0.4823 data: 0.0003
[11-23 01:43:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:06:45 tlr: 0.00023 tnm: 0.32 Lm: 6.923 (6.919) Lt: 6.267 (6.259) Accm: 2.29 (2.25) Acct: 3.39 (3.57) proj_loss: -0.5226 (-0.5250) time: 0.4824 data: 0.0003
[11-23 01:43:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:06:45 tlr: 0.00023 tnm: 0.32 Lm: 6.887 (6.825) Lt: 6.198 (6.158) Accm: 2.37 (2.54) Acct: 3.81 (3.96) proj_loss: -0.5265 (-0.5252) time: 0.4823 data: 0.0003
[11-23 01:43:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:06:45 tlr: 0.00023 tnm: 0.32 Lm: 6.838 (6.829) Lt: 6.118 (6.109) Accm: 2.45 (2.43) Acct: 3.81 (3.83) proj_loss: -0.5140 (-0.5170) time: 0.4824 data: 0.0002
[11-23 01:47:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.34 Lm: 6.848 (6.853) Lt: 6.128 (6.142) Accm: 2.39 (2.37) Acct: 3.80 (3.73) proj_loss: -0.5182 (-0.5183) time: 0.4926 data: 0.0003
[11-23 01:47:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.34 Lm: 6.940 (6.915) Lt: 6.259 (6.236) Accm: 2.24 (2.30) Acct: 3.62 (3.69) proj_loss: -0.5283 (-0.5271) time: 0.4926 data: 0.0003
[11-23 01:47:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.34 Lm: 6.868 (6.892) Lt: 6.204 (6.222) Accm: 2.32 (2.28) Acct: 3.55 (3.60) proj_loss: -0.5205 (-0.5193) time: 0.4926 data: 0.0002
[11-23 01:47:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:03:27 tlr: 0.00023 tnm: 0.34 Lm: 6.895 (6.874) Lt: 6.213 (6.222) Accm: 2.33 (2.45) Acct: 3.75 (3.83) proj_loss: -0.5278 (-0.5283) time: 0.4926 data: 0.0002
[11-23 01:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.29 Lm: 6.887 (6.856) Lt: 6.198 (6.195) Accm: 2.37 (2.50) Acct: 3.81 (3.91) proj_loss: -0.5292 (-0.5287) time: 0.4891 data: 0.0016
[11-23 01:50:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:13:47 (0.496 s / it)
[11-23 01:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.29 Lm: 6.950 (6.934) Lt: 6.274 (6.265) Accm: 2.19 (2.27) Acct: 3.55 (3.66) proj_loss: -0.5310 (-0.5288) time: 0.4891 data: 0.0015
[11-23 01:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.29 Lm: 6.862 (6.886) Lt: 6.222 (6.222) Accm: 2.32 (2.29) Acct: 3.70 (3.65) proj_loss: -0.5226 (-0.5245) time: 0.4891 data: 0.0019
[11-23 01:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.29 Lm: 6.838 (6.762) Lt: 6.118 (6.048) Accm: 2.45 (2.69) Acct: 3.81 (4.21) proj_loss: -0.5224 (-0.5237) time: 0.4891 data: 0.0018
[11-23 01:50:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:13:47 (0.496 s / it)
[11-23 01:50:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:13:47 (0.496 s / it)
[11-23 01:50:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:13:47 (0.496 s / it)
[11-23 01:50:35] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.834 (6.854), Lt: 6.144 (6.167), Acc m&t: 2.55 3.99, Remain: 2 days, 22:43:21, Finish: 2024-11-25 08:33
[11-23 01:50:35] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.834 (6.854), Lt: 6.144 (6.167), Acc m&t: 2.55 3.99, Remain: 2 days, 22:42:40, Finish: 2024-11-25 08:33
[11-23 01:50:35] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.834 (6.854), Lt: 6.144 (6.167), Acc m&t: 2.55 3.99, Remain: 2 days, 22:42:52, Finish: 2024-11-25 08:33
[11-23 01:50:35] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.834 (6.854), Lt: 6.144 (6.167), Acc m&t: 2.55 3.99, Remain: 2 days, 22:44:03, Finish: 2024-11-25 08:34
[11-23 01:50:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:13:27 tlr: 0.00023 tnm: 0.29 Lm: 6.747 (6.747) Lt: 6.033 (6.033) Accm: 2.70 (2.70) Acct: 4.12 (4.12) proj_loss: -0.5184 (-0.5184) time: 0.4837 data: 0.0003
[11-23 01:50:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:13:26 tlr: 0.00023 tnm: 0.29 Lm: 6.721 (6.721) Lt: 6.035 (6.035) Accm: 2.83 (2.83) Acct: 4.48 (4.48) proj_loss: -0.5238 (-0.5238) time: 0.4834 data: 0.0003
[11-23 01:50:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:13:26 tlr: 0.00023 tnm: 0.29 Lm: 6.963 (6.963) Lt: 6.297 (6.297) Accm: 2.16 (2.16) Acct: 3.37 (3.37) proj_loss: -0.5355 (-0.5355) time: 0.4834 data: 0.0003
[11-23 01:50:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:13:27 tlr: 0.00023 tnm: 0.29 Lm: 6.986 (6.986) Lt: 6.351 (6.351) Accm: 2.27 (2.27) Acct: 3.39 (3.39) proj_loss: -0.5084 (-0.5084) time: 0.4837 data: 0.0003
[11-23 01:54:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:10:13 tlr: 0.00023 tnm: 0.31 Lm: 6.936 (6.936) Lt: 6.274 (6.274) Accm: 2.36 (2.36) Acct: 3.61 (3.61) proj_loss: -0.5142 (-0.5142) time: 0.4880 data: 0.0003
[11-23 01:54:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:10:13 tlr: 0.00023 tnm: 0.31 Lm: 6.728 (6.728) Lt: 5.991 (5.991) Accm: 2.71 (2.71) Acct: 4.30 (4.30) proj_loss: -0.5206 (-0.5206) time: 0.4880 data: 0.0003
[11-23 01:54:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:10:13 tlr: 0.00023 tnm: 0.31 Lm: 6.893 (6.893) Lt: 6.198 (6.198) Accm: 2.47 (2.47) Acct: 3.87 (3.87) proj_loss: -0.5366 (-0.5366) time: 0.4880 data: 0.0003
[11-23 01:54:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:10:13 tlr: 0.00023 tnm: 0.31 Lm: 6.778 (6.778) Lt: 6.087 (6.087) Accm: 2.66 (2.66) Acct: 4.14 (4.14) proj_loss: -0.5065 (-0.5065) time: 0.4880 data: 0.0003
[11-23 01:57:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:06:47 tlr: 0.00023 tnm: 0.29 Lm: 6.828 (6.794) Lt: 6.138 (6.116) Accm: 2.48 (2.58) Acct: 3.81 (4.00) proj_loss: -0.5238 (-0.5209) time: 0.4860 data: 0.0002
[11-23 01:57:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:06:47 tlr: 0.00023 tnm: 0.29 Lm: 6.945 (6.910) Lt: 6.288 (6.228) Accm: 2.16 (2.36) Acct: 3.50 (3.75) proj_loss: -0.5355 (-0.5312) time: 0.4860 data: 0.0003
[11-23 01:57:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:06:47 tlr: 0.00023 tnm: 0.29 Lm: 6.747 (6.757) Lt: 6.033 (6.062) Accm: 2.73 (2.74) Acct: 4.12 (4.21) proj_loss: -0.5228 (-0.5317) time: 0.4860 data: 0.0003
[11-23 01:57:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:06:47 tlr: 0.00023 tnm: 0.29 Lm: 6.886 (6.848) Lt: 6.198 (6.166) Accm: 2.45 (2.64) Acct: 3.82 (4.11) proj_loss: -0.5201 (-0.5236) time: 0.4860 data: 0.0003
[11-23 02:00:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.31 Lm: 6.781 (6.805) Lt: 6.102 (6.126) Accm: 2.57 (2.66) Acct: 4.06 (4.16) proj_loss: -0.5292 (-0.5273) time: 0.4860 data: 0.0003
[11-23 02:00:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.31 Lm: 6.773 (6.767) Lt: 6.072 (6.074) Accm: 2.71 (2.70) Acct: 4.16 (4.21) proj_loss: -0.5282 (-0.5322) time: 0.4860 data: 0.0002
[11-23 02:00:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.31 Lm: 6.806 (6.792) Lt: 6.097 (6.101) Accm: 2.60 (2.62) Acct: 4.04 (4.07) proj_loss: -0.5231 (-0.5213) time: 0.4860 data: 0.0003
[11-23 02:00:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:03:23 tlr: 0.00023 tnm: 0.31 Lm: 6.912 (6.903) Lt: 6.249 (6.223) Accm: 2.38 (2.42) Acct: 3.78 (3.83) proj_loss: -0.5280 (-0.5274) time: 0.4860 data: 0.0002
[11-23 02:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.880 (6.884) Lt: 6.210 (6.184) Accm: 2.59 (2.50) Acct: 4.06 (4.00) proj_loss: -0.5236 (-0.5267) time: 0.4897 data: 0.0019
[11-23 02:04:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:13:37 (0.490 s / it)
[11-23 02:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.828 (6.800) Lt: 6.105 (6.102) Accm: 2.60 (2.62) Acct: 3.98 (4.05) proj_loss: -0.5224 (-0.5211) time: 0.4897 data: 0.0016
[11-23 02:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.695 (6.783) Lt: 6.007 (6.094) Accm: 2.59 (2.64) Acct: 4.06 (4.14) proj_loss: -0.5201 (-0.5230) time: 0.4897 data: 0.0019
[11-23 02:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.798 (6.806) Lt: 6.111 (6.116) Accm: 2.70 (2.60) Acct: 4.12 (4.08) proj_loss: -0.5228 (-0.5287) time: 0.4897 data: 0.0016
[11-23 02:04:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:13:37 (0.490 s / it)
[11-23 02:04:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:13:37 (0.490 s / it)
[11-23 02:04:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:13:37 (0.490 s / it)
[11-23 02:04:12] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.834 (6.847), Lt: 6.144 (6.161), Acc m&t: 2.55 3.99, Remain: 2 days, 22:24:04, Finish: 2024-11-25 08:28
[11-23 02:04:12] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.834 (6.847), Lt: 6.144 (6.161), Acc m&t: 2.55 3.99, Remain: 2 days, 22:26:37, Finish: 2024-11-25 08:30
[11-23 02:04:12] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.834 (6.847), Lt: 6.144 (6.161), Acc m&t: 2.55 3.99, Remain: 2 days, 22:26:36, Finish: 2024-11-25 08:30
[11-23 02:04:12] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.834 (6.847), Lt: 6.144 (6.161), Acc m&t: 2.55 3.99, Remain: 2 days, 22:25:15, Finish: 2024-11-25 08:29
[11-23 02:04:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:12:55 tlr: 0.00023 tnm: 0.32 Lm: 6.917 (6.917) Lt: 6.268 (6.268) Accm: 2.30 (2.30) Acct: 3.32 (3.32) proj_loss: -0.5210 (-0.5210) time: 0.4647 data: 0.0003
[11-23 02:04:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:12:53 tlr: 0.00023 tnm: 0.32 Lm: 6.787 (6.787) Lt: 6.059 (6.059) Accm: 2.65 (2.65) Acct: 4.20 (4.20) proj_loss: -0.5193 (-0.5193) time: 0.4636 data: 0.0003
[11-23 02:04:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:12:54 tlr: 0.00023 tnm: 0.32 Lm: 6.956 (6.956) Lt: 6.248 (6.248) Accm: 2.35 (2.35) Acct: 3.55 (3.55) proj_loss: -0.5263 (-0.5263) time: 0.4638 data: 0.0003
[11-23 02:04:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:12:53 tlr: 0.00023 tnm: 0.32 Lm: 6.925 (6.925) Lt: 6.257 (6.257) Accm: 2.28 (2.28) Acct: 3.37 (3.37) proj_loss: -0.5189 (-0.5189) time: 0.4636 data: 0.0004
[11-23 02:07:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:10:43 tlr: 0.00023 tnm: 0.30 Lm: 6.910 (6.910) Lt: 6.228 (6.228) Accm: 2.25 (2.25) Acct: 3.44 (3.44) proj_loss: -0.5247 (-0.5247) time: 0.5765 data: 0.0003
[11-23 02:07:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:10:43 tlr: 0.00023 tnm: 0.30 Lm: 6.870 (6.870) Lt: 6.186 (6.186) Accm: 2.53 (2.53) Acct: 3.84 (3.84) proj_loss: -0.5155 (-0.5155) time: 0.5765 data: 0.0003
[11-23 02:07:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:10:43 tlr: 0.00023 tnm: 0.30 Lm: 6.770 (6.770) Lt: 6.046 (6.046) Accm: 2.80 (2.80) Acct: 4.30 (4.30) proj_loss: -0.5096 (-0.5096) time: 0.5765 data: 0.0003
[11-23 02:07:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:10:43 tlr: 0.00023 tnm: 0.30 Lm: 6.893 (6.893) Lt: 6.178 (6.178) Accm: 2.41 (2.41) Acct: 3.74 (3.74) proj_loss: -0.5219 (-0.5219) time: 0.5765 data: 0.0002
[11-23 02:11:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:07:00 tlr: 0.00023 tnm: 0.31 Lm: 6.904 (6.897) Lt: 6.248 (6.202) Accm: 2.35 (2.33) Acct: 3.55 (3.44) proj_loss: -0.5263 (-0.5237) time: 0.4855 data: 0.0002
[11-23 02:11:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:07:00 tlr: 0.00023 tnm: 0.31 Lm: 6.894 (6.883) Lt: 6.200 (6.211) Accm: 2.28 (2.35) Acct: 3.51 (3.54) proj_loss: -0.5306 (-0.5291) time: 0.4855 data: 0.0002
[11-23 02:11:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:07:00 tlr: 0.00023 tnm: 0.31 Lm: 6.824 (6.826) Lt: 6.104 (6.128) Accm: 2.75 (2.63) Acct: 4.36 (4.05) proj_loss: -0.5210 (-0.5225) time: 0.4855 data: 0.0003
[11-23 02:11:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:07:00 tlr: 0.00023 tnm: 0.31 Lm: 6.787 (6.844) Lt: 6.059 (6.139) Accm: 2.65 (2.49) Acct: 4.20 (3.83) proj_loss: -0.5185 (-0.5125) time: 0.4855 data: 0.0002
[11-23 02:14:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:03:28 tlr: 0.00023 tnm: 0.35 Lm: 6.833 (6.853) Lt: 6.139 (6.159) Accm: 2.50 (2.46) Acct: 3.99 (3.82) proj_loss: -0.5189 (-0.5169) time: 0.4874 data: 0.0003
[11-23 02:14:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:03:28 tlr: 0.00023 tnm: 0.35 Lm: 6.930 (6.928) Lt: 6.250 (6.245) Accm: 2.25 (2.25) Acct: 3.42 (3.40) proj_loss: -0.5268 (-0.5282) time: 0.4874 data: 0.0003
[11-23 02:14:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:03:28 tlr: 0.00023 tnm: 0.35 Lm: 6.781 (6.793) Lt: 6.057 (6.091) Accm: 2.79 (2.75) Acct: 4.41 (4.29) proj_loss: -0.5264 (-0.5248) time: 0.4874 data: 0.0003
[11-23 02:14:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:03:28 tlr: 0.00023 tnm: 0.35 Lm: 6.862 (6.863) Lt: 6.198 (6.207) Accm: 2.33 (2.36) Acct: 3.51 (3.53) proj_loss: -0.5247 (-0.5264) time: 0.4874 data: 0.0003
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.856 (6.861) Lt: 6.200 (6.209) Accm: 2.39 (2.41) Acct: 3.51 (3.65) proj_loss: -0.5253 (-0.5262) time: 0.4883 data: 0.0015
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:13:47 (0.496 s / it)
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.784 (6.791) Lt: 6.090 (6.091) Accm: 2.75 (2.70) Acct: 4.36 (4.20) proj_loss: -0.5318 (-0.5335) time: 0.4883 data: 0.0017
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.787 (6.803) Lt: 6.059 (6.104) Accm: 2.65 (2.59) Acct: 4.20 (3.93) proj_loss: -0.5193 (-0.5198) time: 0.4883 data: 0.0015
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.904 (6.872) Lt: 6.248 (6.181) Accm: 2.35 (2.40) Acct: 3.55 (3.67) proj_loss: -0.5263 (-0.5247) time: 0.4883 data: 0.0017
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:13:47 (0.496 s / it)
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:13:47 (0.496 s / it)
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:13:47 (0.496 s / it)
[11-23 02:18:00] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.834 (6.839), Lt: 6.144 (6.154), Acc m&t: 2.55 3.99, Remain: 2 days, 21:57:40, Finish: 2024-11-25 08:15
[11-23 02:18:00] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.834 (6.839), Lt: 6.144 (6.154), Acc m&t: 2.55 3.99, Remain: 2 days, 21:58:35, Finish: 2024-11-25 08:16
[11-23 02:18:00] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.834 (6.839), Lt: 6.144 (6.154), Acc m&t: 2.55 3.99, Remain: 2 days, 21:58:24, Finish: 2024-11-25 08:16
[11-23 02:18:00] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.834 (6.839), Lt: 6.144 (6.154), Acc m&t: 2.55 3.99, Remain: 2 days, 21:58:26, Finish: 2024-11-25 08:16
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:13:07 tlr: 0.00023 tnm: 0.30 Lm: 6.750 (6.750) Lt: 6.061 (6.061) Accm: 2.67 (2.67) Acct: 4.29 (4.29) proj_loss: -0.5418 (-0.5418) time: 0.4718 data: 0.0002
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:13:08 tlr: 0.00023 tnm: 0.30 Lm: 6.772 (6.772) Lt: 6.124 (6.124) Accm: 2.56 (2.56) Acct: 3.58 (3.58) proj_loss: -0.5297 (-0.5297) time: 0.4725 data: 0.0004
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:13:08 tlr: 0.00023 tnm: 0.30 Lm: 6.613 (6.613) Lt: 5.895 (5.895) Accm: 3.15 (3.15) Acct: 4.89 (4.89) proj_loss: -0.5266 (-0.5266) time: 0.4727 data: 0.0003
[11-23 02:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:13:09 tlr: 0.00023 tnm: 0.30 Lm: 6.887 (6.887) Lt: 6.197 (6.197) Accm: 2.48 (2.48) Acct: 3.75 (3.75) proj_loss: -0.5320 (-0.5320) time: 0.4732 data: 0.0004
[11-23 02:21:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:10:10 tlr: 0.00023 tnm: 0.29 Lm: 6.944 (6.944) Lt: 6.288 (6.288) Accm: 2.26 (2.26) Acct: 3.54 (3.54) proj_loss: -0.5328 (-0.5328) time: 0.4840 data: 0.0003
[11-23 02:21:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:10:10 tlr: 0.00023 tnm: 0.29 Lm: 6.839 (6.839) Lt: 6.178 (6.178) Accm: 2.45 (2.45) Acct: 3.71 (3.71) proj_loss: -0.5303 (-0.5303) time: 0.4840 data: 0.0002
[11-23 02:21:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:10:10 tlr: 0.00023 tnm: 0.29 Lm: 6.701 (6.701) Lt: 5.999 (5.999) Accm: 2.94 (2.94) Acct: 4.53 (4.53) proj_loss: -0.5282 (-0.5282) time: 0.4840 data: 0.0003
[11-23 02:21:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:10:10 tlr: 0.00023 tnm: 0.29 Lm: 6.735 (6.735) Lt: 6.033 (6.033) Accm: 2.90 (2.90) Acct: 4.73 (4.73) proj_loss: -0.5272 (-0.5272) time: 0.4840 data: 0.0003
[11-23 02:24:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:06:54 tlr: 0.00023 tnm: 0.31 Lm: 6.750 (6.784) Lt: 6.061 (6.086) Accm: 2.67 (2.80) Acct: 4.29 (4.47) proj_loss: -0.5258 (-0.5267) time: 0.5925 data: 0.0003
[11-23 02:24:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:06:54 tlr: 0.00023 tnm: 0.31 Lm: 6.781 (6.820) Lt: 6.124 (6.154) Accm: 2.48 (2.46) Acct: 3.84 (3.78) proj_loss: -0.5297 (-0.5258) time: 0.5925 data: 0.0002
[11-23 02:24:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:06:54 tlr: 0.00023 tnm: 0.31 Lm: 6.887 (6.908) Lt: 6.197 (6.228) Accm: 2.48 (2.36) Acct: 3.75 (3.76) proj_loss: -0.5320 (-0.5259) time: 0.5925 data: 0.0003
[11-23 02:24:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:06:54 tlr: 0.00023 tnm: 0.31 Lm: 6.789 (6.747) Lt: 6.103 (6.050) Accm: 2.74 (2.83) Acct: 4.17 (4.36) proj_loss: -0.5298 (-0.5308) time: 0.5925 data: 0.0003
[11-23 02:28:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:03:28 tlr: 0.00022 tnm: 0.31 Lm: 6.814 (6.811) Lt: 6.128 (6.117) Accm: 2.67 (2.67) Acct: 4.09 (4.12) proj_loss: -0.5327 (-0.5320) time: 0.4869 data: 0.0003
[11-23 02:28:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:03:28 tlr: 0.00022 tnm: 0.31 Lm: 6.792 (6.797) Lt: 6.109 (6.103) Accm: 2.64 (2.75) Acct: 4.24 (4.40) proj_loss: -0.5251 (-0.5261) time: 0.4869 data: 0.0003
[11-23 02:28:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:03:28 tlr: 0.00022 tnm: 0.31 Lm: 6.795 (6.817) Lt: 6.115 (6.139) Accm: 2.52 (2.54) Acct: 3.87 (3.95) proj_loss: -0.5232 (-0.5233) time: 0.4869 data: 0.0002
[11-23 02:28:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:03:28 tlr: 0.00022 tnm: 0.31 Lm: 6.861 (6.857) Lt: 6.152 (6.168) Accm: 2.52 (2.43) Acct: 3.97 (3.87) proj_loss: -0.5248 (-0.5238) time: 0.4869 data: 0.0003
[11-23 02:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.836 (6.820) Lt: 6.106 (6.129) Accm: 2.56 (2.56) Acct: 4.18 (4.01) proj_loss: -0.5320 (-0.5258) time: 0.4903 data: 0.0015
[11-23 02:31:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:13:51 (0.498 s / it)
[11-23 02:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.839 (6.826) Lt: 6.154 (6.129) Accm: 2.60 (2.62) Acct: 4.01 (4.09) proj_loss: -0.5298 (-0.5298) time: 0.4903 data: 0.0019
[11-23 02:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.790 (6.811) Lt: 6.106 (6.131) Accm: 2.56 (2.57) Acct: 3.91 (4.06) proj_loss: -0.5217 (-0.5230) time: 0.4903 data: 0.0015
[11-23 02:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.790 (6.795) Lt: 6.067 (6.096) Accm: 2.67 (2.76) Acct: 4.29 (4.42) proj_loss: -0.5258 (-0.5303) time: 0.4903 data: 0.0021
[11-23 02:31:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:13:51 (0.498 s / it)
[11-23 02:31:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:13:51 (0.498 s / it)
[11-23 02:31:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:13:51 (0.498 s / it)
[11-23 02:31:51] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.834 (6.842), Lt: 6.144 (6.154), Acc m&t: 2.55 3.99, Remain: 2 days, 22:11:14, Finish: 2024-11-25 08:43
[11-23 02:31:51] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.834 (6.842), Lt: 6.144 (6.154), Acc m&t: 2.55 3.99, Remain: 2 days, 22:09:55, Finish: 2024-11-25 08:41
[11-23 02:31:51] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.834 (6.842), Lt: 6.144 (6.154), Acc m&t: 2.55 3.99, Remain: 2 days, 22:09:44, Finish: 2024-11-25 08:41
[11-23 02:31:51] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.834 (6.842), Lt: 6.144 (6.154), Acc m&t: 2.55 3.99, Remain: 2 days, 22:10:33, Finish: 2024-11-25 08:42
[11-23 02:31:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:12:46 tlr: 0.00022 tnm: 0.30 Lm: 6.757 (6.757) Lt: 6.042 (6.042) Accm: 2.75 (2.75) Acct: 4.15 (4.15) proj_loss: -0.5490 (-0.5490) time: 0.4590 data: 0.0003
[11-23 02:31:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:12:45 tlr: 0.00022 tnm: 0.30 Lm: 6.859 (6.859) Lt: 6.216 (6.216) Accm: 2.33 (2.33) Acct: 3.51 (3.51) proj_loss: -0.5486 (-0.5486) time: 0.4586 data: 0.0003
[11-23 02:31:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:12:46 tlr: 0.00022 tnm: 0.30 Lm: 6.928 (6.928) Lt: 6.314 (6.314) Accm: 2.31 (2.31) Acct: 3.50 (3.50) proj_loss: -0.5217 (-0.5217) time: 0.4591 data: 0.0004
[11-23 02:31:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:12:45 tlr: 0.00022 tnm: 0.30 Lm: 6.858 (6.858) Lt: 6.164 (6.164) Accm: 2.46 (2.46) Acct: 3.81 (3.81) proj_loss: -0.5193 (-0.5193) time: 0.4589 data: 0.0003
[11-23 02:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:10:13 tlr: 0.00022 tnm: 0.32 Lm: 6.843 (6.843) Lt: 6.164 (6.164) Accm: 2.51 (2.51) Acct: 4.00 (4.00) proj_loss: -0.5378 (-0.5378) time: 0.4880 data: 0.0003
[11-23 02:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:10:13 tlr: 0.00022 tnm: 0.32 Lm: 6.846 (6.846) Lt: 6.163 (6.163) Accm: 2.43 (2.43) Acct: 3.74 (3.74) proj_loss: -0.5236 (-0.5236) time: 0.4880 data: 0.0003
[11-23 02:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:10:13 tlr: 0.00022 tnm: 0.32 Lm: 6.759 (6.759) Lt: 6.077 (6.077) Accm: 2.59 (2.59) Acct: 3.97 (3.97) proj_loss: -0.5296 (-0.5296) time: 0.4880 data: 0.0002
[11-23 02:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:10:13 tlr: 0.00022 tnm: 0.32 Lm: 6.837 (6.837) Lt: 6.134 (6.134) Accm: 2.55 (2.55) Acct: 3.99 (3.99) proj_loss: -0.5438 (-0.5438) time: 0.4880 data: 0.0002
[11-23 02:38:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:06:47 tlr: 0.00022 tnm: 0.33 Lm: 6.757 (6.807) Lt: 6.042 (6.099) Accm: 2.42 (2.50) Acct: 3.84 (3.93) proj_loss: -0.5386 (-0.5354) time: 0.4877 data: 0.0002
[11-23 02:38:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:06:47 tlr: 0.00022 tnm: 0.33 Lm: 6.858 (6.871) Lt: 6.164 (6.188) Accm: 2.46 (2.46) Acct: 3.81 (3.87) proj_loss: -0.5345 (-0.5367) time: 0.4877 data: 0.0003
[11-23 02:38:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:06:47 tlr: 0.00022 tnm: 0.33 Lm: 6.764 (6.749) Lt: 6.012 (6.050) Accm: 2.54 (2.72) Acct: 3.99 (4.22) proj_loss: -0.5254 (-0.5332) time: 0.4877 data: 0.0003
[11-23 02:38:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:06:47 tlr: 0.00022 tnm: 0.33 Lm: 6.725 (6.748) Lt: 6.045 (6.066) Accm: 2.48 (2.55) Acct: 3.74 (3.89) proj_loss: -0.5283 (-0.5292) time: 0.4877 data: 0.0002
[11-23 02:42:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:03:23 tlr: 0.00022 tnm: 0.29 Lm: 6.792 (6.776) Lt: 6.101 (6.089) Accm: 2.44 (2.51) Acct: 3.81 (3.89) proj_loss: -0.5301 (-0.5298) time: 0.4892 data: 0.0002
[11-23 02:42:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:03:23 tlr: 0.00022 tnm: 0.29 Lm: 6.770 (6.755) Lt: 6.020 (6.044) Accm: 2.61 (2.71) Acct: 4.26 (4.30) proj_loss: -0.5255 (-0.5313) time: 0.4892 data: 0.0003
[11-23 02:42:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:03:23 tlr: 0.00022 tnm: 0.29 Lm: 6.752 (6.768) Lt: 6.035 (6.054) Accm: 2.59 (2.59) Acct: 3.99 (4.06) proj_loss: -0.5390 (-0.5364) time: 0.4892 data: 0.0003
[11-23 02:42:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:03:23 tlr: 0.00022 tnm: 0.29 Lm: 6.843 (6.831) Lt: 6.164 (6.154) Accm: 2.51 (2.58) Acct: 4.00 (4.00) proj_loss: -0.5289 (-0.5333) time: 0.4892 data: 0.0003
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.845 (6.834) Lt: 6.164 (6.159) Accm: 2.46 (2.54) Acct: 3.81 (3.94) proj_loss: -0.5345 (-0.5338) time: 0.4896 data: 0.0021
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:13:39 (0.491 s / it)
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.757 (6.781) Lt: 6.042 (6.064) Accm: 2.43 (2.56) Acct: 3.91 (4.03) proj_loss: -0.5395 (-0.5380) time: 0.4896 data: 0.0015
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.725 (6.755) Lt: 6.045 (6.066) Accm: 2.48 (2.62) Acct: 3.89 (4.08) proj_loss: -0.5318 (-0.5303) time: 0.4896 data: 0.0014
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.775 (6.779) Lt: 6.028 (6.075) Accm: 2.54 (2.66) Acct: 3.99 (4.17) proj_loss: -0.5254 (-0.5267) time: 0.4896 data: 0.0015
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:13:39 (0.491 s / it)
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:13:39 (0.491 s / it)
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:13:39 (0.491 s / it)
[11-23 02:45:31] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.831 (6.831), Lt: 6.144 (6.144), Acc m&t: 2.55 3.99, Remain: 2 days, 21:54:23, Finish: 2024-11-25 08:39
[11-23 02:45:31] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.831 (6.831), Lt: 6.144 (6.144), Acc m&t: 2.55 3.99, Remain: 2 days, 21:53:41, Finish: 2024-11-25 08:39
[11-23 02:45:31] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.831 (6.831), Lt: 6.144 (6.144), Acc m&t: 2.55 3.99, Remain: 2 days, 21:52:57, Finish: 2024-11-25 08:38
[11-23 02:45:31] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.831 (6.831), Lt: 6.144 (6.144), Acc m&t: 2.55 3.99, Remain: 2 days, 21:54:00, Finish: 2024-11-25 08:39
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:13:21 tlr: 0.00022 tnm: 0.31 Lm: 6.784 (6.784) Lt: 6.088 (6.088) Accm: 2.61 (2.61) Acct: 4.15 (4.15) proj_loss: -0.5104 (-0.5104) time: 0.4801 data: 0.0005
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:12:55 tlr: 0.00022 tnm: 0.31 Lm: 6.955 (6.955) Lt: 6.313 (6.313) Accm: 2.28 (2.28) Acct: 3.55 (3.55) proj_loss: -0.5203 (-0.5203) time: 0.4646 data: 0.0004
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:13:21 tlr: 0.00022 tnm: 0.31 Lm: 6.760 (6.760) Lt: 6.094 (6.094) Accm: 2.48 (2.48) Acct: 3.82 (3.82) proj_loss: -0.5375 (-0.5375) time: 0.4804 data: 0.0003
[11-23 02:45:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:12:37 tlr: 0.00022 tnm: 0.31 Lm: 6.872 (6.872) Lt: 6.176 (6.176) Accm: 2.48 (2.48) Acct: 4.01 (4.01) proj_loss: -0.5321 (-0.5321) time: 0.4536 data: 0.0005
[11-23 02:49:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:10:48 tlr: 0.00022 tnm: 0.30 Lm: 6.802 (6.802) Lt: 6.083 (6.083) Accm: 2.75 (2.75) Acct: 4.29 (4.29) proj_loss: -0.5393 (-0.5393) time: 0.4873 data: 0.0003
[11-23 02:49:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:10:48 tlr: 0.00022 tnm: 0.30 Lm: 6.957 (6.957) Lt: 6.275 (6.275) Accm: 2.24 (2.24) Acct: 3.45 (3.45) proj_loss: -0.5131 (-0.5131) time: 0.4873 data: 0.0003
[11-23 02:49:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:10:48 tlr: 0.00022 tnm: 0.30 Lm: 6.733 (6.733) Lt: 6.026 (6.026) Accm: 2.70 (2.70) Acct: 4.24 (4.24) proj_loss: -0.5405 (-0.5405) time: 0.4873 data: 0.0003
[11-23 02:49:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:10:48 tlr: 0.00022 tnm: 0.30 Lm: 6.803 (6.803) Lt: 6.128 (6.128) Accm: 2.59 (2.59) Acct: 4.05 (4.05) proj_loss: -0.5249 (-0.5249) time: 0.4873 data: 0.0003
[11-23 02:52:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:07:02 tlr: 0.00022 tnm: 0.30 Lm: 6.822 (6.830) Lt: 6.167 (6.155) Accm: 2.57 (2.54) Acct: 3.94 (4.01) proj_loss: -0.5104 (-0.5193) time: 0.4858 data: 0.0003
[11-23 02:52:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:07:02 tlr: 0.00022 tnm: 0.30 Lm: 6.959 (6.969) Lt: 6.313 (6.305) Accm: 2.21 (2.14) Acct: 3.36 (3.32) proj_loss: -0.5203 (-0.5213) time: 0.4858 data: 0.0003
[11-23 02:52:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:07:02 tlr: 0.00022 tnm: 0.30 Lm: 6.760 (6.774) Lt: 6.094 (6.091) Accm: 2.52 (2.64) Acct: 3.84 (4.10) proj_loss: -0.5435 (-0.5432) time: 0.4858 data: 0.0003
[11-23 02:52:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:07:02 tlr: 0.00022 tnm: 0.30 Lm: 6.830 (6.811) Lt: 6.107 (6.091) Accm: 2.62 (2.71) Acct: 4.22 (4.26) proj_loss: -0.5321 (-0.5284) time: 0.4859 data: 0.0003
[11-23 02:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:03:28 tlr: 0.00022 tnm: 0.30 Lm: 6.851 (6.840) Lt: 6.142 (6.139) Accm: 2.55 (2.60) Acct: 4.12 (4.10) proj_loss: -0.5393 (-0.5351) time: 0.4902 data: 0.0003
[11-23 02:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:03:28 tlr: 0.00022 tnm: 0.30 Lm: 6.734 (6.758) Lt: 6.038 (6.064) Accm: 2.67 (2.69) Acct: 4.22 (4.23) proj_loss: -0.5405 (-0.5382) time: 0.4902 data: 0.0003
[11-23 02:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:03:28 tlr: 0.00022 tnm: 0.30 Lm: 6.843 (6.838) Lt: 6.160 (6.155) Accm: 2.51 (2.49) Acct: 3.93 (3.97) proj_loss: -0.5232 (-0.5235) time: 0.4902 data: 0.0003
[11-23 02:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:03:28 tlr: 0.00022 tnm: 0.30 Lm: 6.957 (6.918) Lt: 6.275 (6.249) Accm: 2.24 (2.33) Acct: 3.45 (3.64) proj_loss: -0.5231 (-0.5224) time: 0.4902 data: 0.0003
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.955 (6.900) Lt: 6.237 (6.229) Accm: 2.28 (2.34) Acct: 3.55 (3.66) proj_loss: -0.5259 (-0.5263) time: 0.4914 data: 0.0014
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:13:49 (0.497 s / it)
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.829 (6.836) Lt: 6.152 (6.139) Accm: 2.55 (2.50) Acct: 3.94 (3.98) proj_loss: -0.5361 (-0.5273) time: 0.4914 data: 0.0019
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.842 (6.840) Lt: 6.163 (6.144) Accm: 2.48 (2.57) Acct: 4.01 (4.05) proj_loss: -0.5321 (-0.5344) time: 0.4914 data: 0.0016
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.711 (6.748) Lt: 6.015 (6.054) Accm: 2.81 (2.71) Acct: 4.37 (4.26) proj_loss: -0.5375 (-0.5373) time: 0.4914 data: 0.0016
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:13:49 (0.497 s / it)
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:13:49 (0.497 s / it)
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:13:49 (0.497 s / it)
[11-23 02:59:20] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.818 (6.818), Lt: 6.126 (6.126), Acc m&t: 2.60 4.06, Remain: 2 days, 21:33:43, Finish: 2024-11-25 08:33
[11-23 02:59:20] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.818 (6.818), Lt: 6.126 (6.126), Acc m&t: 2.60 4.06, Remain: 2 days, 21:30:33, Finish: 2024-11-25 08:29
[11-23 02:59:20] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.818 (6.818), Lt: 6.126 (6.126), Acc m&t: 2.60 4.06, Remain: 2 days, 21:31:32, Finish: 2024-11-25 08:30
[11-23 02:59:20] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.818 (6.818), Lt: 6.126 (6.126), Acc m&t: 2.60 4.06, Remain: 2 days, 21:34:11, Finish: 2024-11-25 08:33
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:13:44 tlr: 0.00022 tnm: 0.32 Lm: 6.745 (6.745) Lt: 6.046 (6.046) Accm: 2.83 (2.83) Acct: 4.25 (4.25) proj_loss: -0.5528 (-0.5528) time: 0.4937 data: 0.0003
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:13:37 tlr: 0.00022 tnm: 0.32 Lm: 6.845 (6.845) Lt: 6.115 (6.115) Accm: 2.46 (2.46) Acct: 3.98 (3.98) proj_loss: -0.5353 (-0.5353) time: 0.4897 data: 0.0004
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:13:44 tlr: 0.00022 tnm: 0.32 Lm: 6.849 (6.849) Lt: 6.079 (6.079) Accm: 2.48 (2.48) Acct: 3.93 (3.93) proj_loss: -0.5001 (-0.5001) time: 0.4938 data: 0.0004
[11-23 02:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:13:45 tlr: 0.00022 tnm: 0.32 Lm: 6.875 (6.875) Lt: 6.126 (6.126) Accm: 2.52 (2.52) Acct: 4.20 (4.20) proj_loss: -0.5305 (-0.5305) time: 0.4943 data: 0.0004
[11-23 03:02:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:10:09 tlr: 0.00022 tnm: 0.30 Lm: 6.882 (6.882) Lt: 6.177 (6.177) Accm: 2.30 (2.30) Acct: 3.70 (3.70) proj_loss: -0.5292 (-0.5292) time: 0.4802 data: 0.0002
[11-23 03:02:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:10:09 tlr: 0.00022 tnm: 0.30 Lm: 6.765 (6.765) Lt: 6.044 (6.044) Accm: 2.74 (2.74) Acct: 4.33 (4.33) proj_loss: -0.5371 (-0.5371) time: 0.4802 data: 0.0002
[11-23 03:02:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:10:09 tlr: 0.00022 tnm: 0.30 Lm: 6.820 (6.820) Lt: 6.100 (6.100) Accm: 2.55 (2.55) Acct: 3.94 (3.94) proj_loss: -0.5171 (-0.5171) time: 0.4802 data: 0.0002
[11-23 03:02:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:10:09 tlr: 0.00022 tnm: 0.30 Lm: 6.739 (6.739) Lt: 6.046 (6.046) Accm: 2.80 (2.80) Acct: 4.36 (4.36) proj_loss: -0.5443 (-0.5443) time: 0.4802 data: 0.0003
[11-23 03:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:06:59 tlr: 0.00022 tnm: 0.32 Lm: 6.745 (6.809) Lt: 6.047 (6.119) Accm: 2.78 (2.57) Acct: 4.25 (4.10) proj_loss: -0.5358 (-0.5364) time: 0.4877 data: 0.0003
[11-23 03:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:06:59 tlr: 0.00022 tnm: 0.32 Lm: 6.825 (6.822) Lt: 6.106 (6.102) Accm: 2.48 (2.53) Acct: 3.96 (4.01) proj_loss: -0.5341 (-0.5235) time: 0.4877 data: 0.0003
[11-23 03:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:06:59 tlr: 0.00022 tnm: 0.32 Lm: 6.875 (6.841) Lt: 6.126 (6.126) Accm: 2.52 (2.42) Acct: 4.20 (3.90) proj_loss: -0.5279 (-0.5278) time: 0.4877 data: 0.0003
[11-23 03:06:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:06:59 tlr: 0.00022 tnm: 0.32 Lm: 6.810 (6.780) Lt: 6.115 (6.091) Accm: 2.51 (2.66) Acct: 3.98 (4.12) proj_loss: -0.5388 (-0.5391) time: 0.4877 data: 0.0003
[11-23 03:09:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.29 Lm: 6.827 (6.814) Lt: 6.150 (6.132) Accm: 2.55 (2.64) Acct: 3.91 (4.05) proj_loss: -0.5396 (-0.5394) time: 0.4889 data: 0.0003
[11-23 03:09:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.29 Lm: 6.739 (6.776) Lt: 6.046 (6.067) Accm: 2.80 (2.68) Acct: 4.36 (4.22) proj_loss: -0.5299 (-0.5333) time: 0.4889 data: 0.0003
[11-23 03:09:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.29 Lm: 6.882 (6.883) Lt: 6.177 (6.173) Accm: 2.30 (2.30) Acct: 3.70 (3.64) proj_loss: -0.5282 (-0.5280) time: 0.4889 data: 0.0003
[11-23 03:09:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.29 Lm: 6.837 (6.860) Lt: 6.113 (6.163) Accm: 2.48 (2.41) Acct: 3.94 (3.78) proj_loss: -0.5352 (-0.5304) time: 0.4889 data: 0.0003
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.825 (6.839) Lt: 6.106 (6.139) Accm: 2.48 (2.51) Acct: 3.96 (3.89) proj_loss: -0.5341 (-0.5295) time: 0.4925 data: 0.0015
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:13:51 (0.498 s / it)
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.875 (6.866) Lt: 6.126 (6.151) Accm: 2.52 (2.39) Acct: 4.20 (3.80) proj_loss: -0.5285 (-0.5294) time: 0.4925 data: 0.0018
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.823 (6.816) Lt: 6.143 (6.135) Accm: 2.51 (2.59) Acct: 3.84 (3.99) proj_loss: -0.5403 (-0.5399) time: 0.4925 data: 0.0016
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.745 (6.788) Lt: 6.047 (6.080) Accm: 2.78 (2.64) Acct: 4.25 (4.14) proj_loss: -0.5276 (-0.5322) time: 0.4925 data: 0.0016
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:13:51 (0.498 s / it)
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:13:51 (0.498 s / it)
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:13:51 (0.498 s / it)
[11-23 03:13:12] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.818 (6.823), Lt: 6.126 (6.130), Acc m&t: 2.60 4.06, Remain: 2 days, 21:39:03, Finish: 2024-11-25 08:52
[11-23 03:13:12] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.818 (6.823), Lt: 6.126 (6.130), Acc m&t: 2.60 4.06, Remain: 2 days, 21:41:01, Finish: 2024-11-25 08:54
[11-23 03:13:12] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.818 (6.823), Lt: 6.126 (6.130), Acc m&t: 2.60 4.06, Remain: 2 days, 21:40:58, Finish: 2024-11-25 08:54
[11-23 03:13:12] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.818 (6.823), Lt: 6.126 (6.130), Acc m&t: 2.60 4.06, Remain: 2 days, 21:38:52, Finish: 2024-11-25 08:52
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:12:47 tlr: 0.00022 tnm: 0.32 Lm: 6.800 (6.800) Lt: 6.081 (6.081) Accm: 2.51 (2.51) Acct: 3.75 (3.75) proj_loss: -0.5247 (-0.5247) time: 0.4600 data: 0.0003
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:12:46 tlr: 0.00022 tnm: 0.32 Lm: 6.770 (6.770) Lt: 6.106 (6.106) Accm: 2.40 (2.40) Acct: 3.77 (3.77) proj_loss: -0.5494 (-0.5494) time: 0.4593 data: 0.0003
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:12:47 tlr: 0.00022 tnm: 0.32 Lm: 6.667 (6.667) Lt: 6.028 (6.028) Accm: 2.99 (2.99) Acct: 4.46 (4.46) proj_loss: -0.5448 (-0.5448) time: 0.4601 data: 0.0003
[11-23 03:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:12:50 tlr: 0.00022 tnm: 0.32 Lm: 6.733 (6.733) Lt: 6.010 (6.010) Accm: 2.63 (2.63) Acct: 4.08 (4.08) proj_loss: -0.5317 (-0.5317) time: 0.4614 data: 0.0004
[11-23 03:16:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:10:15 tlr: 0.00022 tnm: 0.30 Lm: 6.616 (6.616) Lt: 5.896 (5.896) Accm: 3.07 (3.07) Acct: 4.77 (4.77) proj_loss: -0.5437 (-0.5437) time: 0.4864 data: 0.0003
[11-23 03:16:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:10:15 tlr: 0.00022 tnm: 0.30 Lm: 6.733 (6.733) Lt: 6.083 (6.083) Accm: 2.82 (2.82) Acct: 4.20 (4.20) proj_loss: -0.5325 (-0.5325) time: 0.4864 data: 0.0002
[11-23 03:16:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:10:15 tlr: 0.00022 tnm: 0.30 Lm: 6.801 (6.801) Lt: 6.100 (6.100) Accm: 2.49 (2.49) Acct: 3.82 (3.82) proj_loss: -0.5256 (-0.5256) time: 0.4864 data: 0.0002
[11-23 03:16:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:10:15 tlr: 0.00022 tnm: 0.30 Lm: 6.785 (6.785) Lt: 6.115 (6.115) Accm: 2.53 (2.53) Acct: 3.97 (3.97) proj_loss: -0.5332 (-0.5332) time: 0.4864 data: 0.0002
[11-23 03:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:06:47 tlr: 0.00022 tnm: 0.30 Lm: 6.800 (6.796) Lt: 6.125 (6.121) Accm: 2.66 (2.57) Acct: 3.89 (3.94) proj_loss: -0.5194 (-0.5286) time: 0.4840 data: 0.0002
[11-23 03:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:06:47 tlr: 0.00022 tnm: 0.30 Lm: 6.800 (6.745) Lt: 6.081 (6.012) Accm: 2.51 (2.71) Acct: 3.89 (4.23) proj_loss: -0.5265 (-0.5276) time: 0.4840 data: 0.0003
[11-23 03:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:06:47 tlr: 0.00022 tnm: 0.30 Lm: 6.733 (6.687) Lt: 6.010 (5.968) Accm: 2.63 (2.87) Acct: 4.08 (4.52) proj_loss: -0.5516 (-0.5463) time: 0.4840 data: 0.0003
[11-23 03:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:06:47 tlr: 0.00022 tnm: 0.30 Lm: 6.667 (6.710) Lt: 6.028 (6.050) Accm: 2.91 (2.85) Acct: 4.37 (4.26) proj_loss: -0.5422 (-0.5357) time: 0.4840 data: 0.0003
[11-23 03:23:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.30 Lm: 6.733 (6.746) Lt: 6.083 (6.087) Accm: 2.78 (2.78) Acct: 4.16 (4.15) proj_loss: -0.5407 (-0.5366) time: 0.4896 data: 0.0003
[11-23 03:23:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.30 Lm: 6.809 (6.815) Lt: 6.129 (6.135) Accm: 2.53 (2.53) Acct: 3.83 (3.87) proj_loss: -0.5300 (-0.5316) time: 0.4896 data: 0.0002
[11-23 03:23:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.30 Lm: 6.710 (6.687) Lt: 6.006 (5.976) Accm: 2.76 (2.88) Acct: 4.14 (4.44) proj_loss: -0.5438 (-0.5437) time: 0.4896 data: 0.0003
[11-23 03:23:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.30 Lm: 6.739 (6.728) Lt: 6.009 (5.993) Accm: 2.75 (2.78) Acct: 4.39 (4.39) proj_loss: -0.5256 (-0.5266) time: 0.4896 data: 0.0003
[11-23 03:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.759 (6.734) Lt: 6.018 (5.998) Accm: 2.60 (2.74) Acct: 4.24 (4.36) proj_loss: -0.5265 (-0.5279) time: 0.4878 data: 0.0019
[11-23 03:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:13:40 (0.491 s / it)
[11-23 03:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.799 (6.774) Lt: 6.137 (6.115) Accm: 2.64 (2.70) Acct: 3.94 (4.08) proj_loss: -0.5422 (-0.5378) time: 0.4878 data: 0.0016
[11-23 03:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.818 (6.833) Lt: 6.134 (6.160) Accm: 2.41 (2.47) Acct: 3.77 (3.81) proj_loss: -0.5407 (-0.5360) time: 0.4878 data: 0.0014
[11-23 03:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.733 (6.706) Lt: 6.010 (5.991) Accm: 2.79 (2.86) Acct: 4.20 (4.42) proj_loss: -0.5361 (-0.5356) time: 0.4878 data: 0.0017
[11-23 03:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:13:40 (0.491 s / it)
[11-23 03:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:13:40 (0.491 s / it)
[11-23 03:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:13:40 (0.491 s / it)
[11-23 03:26:52] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.803 (6.803), Lt: 6.104 (6.104), Acc m&t: 2.61 4.09, Remain: 2 days, 20:48:15, Finish: 2024-11-25 08:15
[11-23 03:26:52] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.803 (6.803), Lt: 6.104 (6.104), Acc m&t: 2.61 4.09, Remain: 2 days, 20:48:46, Finish: 2024-11-25 08:15
[11-23 03:26:52] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.803 (6.803), Lt: 6.104 (6.104), Acc m&t: 2.61 4.09, Remain: 2 days, 20:47:39, Finish: 2024-11-25 08:14
[11-23 03:26:52] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.803 (6.803), Lt: 6.104 (6.104), Acc m&t: 2.61 4.09, Remain: 2 days, 20:46:52, Finish: 2024-11-25 08:13
[11-23 03:26:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:12:50 tlr: 0.00022 tnm: 0.30 Lm: 6.818 (6.818) Lt: 6.094 (6.094) Accm: 2.58 (2.58) Acct: 4.10 (4.10) proj_loss: -0.5306 (-0.5306) time: 0.4619 data: 0.0003
[11-23 03:26:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:12:51 tlr: 0.00022 tnm: 0.30 Lm: 6.608 (6.608) Lt: 5.888 (5.888) Accm: 3.39 (3.39) Acct: 5.49 (5.49) proj_loss: -0.5243 (-0.5243) time: 0.4621 data: 0.0004
[11-23 03:26:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:12:51 tlr: 0.00022 tnm: 0.30 Lm: 6.881 (6.881) Lt: 6.213 (6.213) Accm: 2.39 (2.39) Acct: 3.70 (3.70) proj_loss: -0.5281 (-0.5281) time: 0.4622 data: 0.0003
[11-23 03:26:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:12:51 tlr: 0.00022 tnm: 0.30 Lm: 6.868 (6.868) Lt: 6.174 (6.174) Accm: 2.30 (2.30) Acct: 3.81 (3.81) proj_loss: -0.5297 (-0.5297) time: 0.4625 data: 0.0004
[11-23 03:30:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:10:41 tlr: 0.00022 tnm: 0.30 Lm: 6.878 (6.878) Lt: 6.174 (6.174) Accm: 2.35 (2.35) Acct: 3.69 (3.69) proj_loss: -0.5302 (-0.5302) time: 0.4821 data: 0.0003
[11-23 03:30:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:10:41 tlr: 0.00022 tnm: 0.30 Lm: 6.807 (6.807) Lt: 6.082 (6.082) Accm: 2.55 (2.55) Acct: 4.08 (4.08) proj_loss: -0.5312 (-0.5312) time: 0.4821 data: 0.0002
[11-23 03:30:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:10:41 tlr: 0.00022 tnm: 0.30 Lm: 6.843 (6.843) Lt: 6.172 (6.172) Accm: 2.43 (2.43) Acct: 3.80 (3.80) proj_loss: -0.5443 (-0.5443) time: 0.4821 data: 0.0003
[11-23 03:30:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:10:41 tlr: 0.00022 tnm: 0.30 Lm: 6.704 (6.704) Lt: 6.004 (6.004) Accm: 2.89 (2.89) Acct: 4.65 (4.65) proj_loss: -0.5268 (-0.5268) time: 0.4821 data: 0.0003
[11-23 03:33:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:06:58 tlr: 0.00022 tnm: 0.34 Lm: 6.800 (6.769) Lt: 6.119 (6.077) Accm: 2.40 (2.63) Acct: 3.81 (4.17) proj_loss: -0.5243 (-0.5248) time: 0.4870 data: 0.0003
[11-23 03:33:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:06:58 tlr: 0.00022 tnm: 0.34 Lm: 6.805 (6.802) Lt: 6.131 (6.137) Accm: 2.47 (2.58) Acct: 3.89 (3.99) proj_loss: -0.5537 (-0.5475) time: 0.4870 data: 0.0003
[11-23 03:33:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:06:58 tlr: 0.00022 tnm: 0.34 Lm: 6.868 (6.823) Lt: 6.174 (6.095) Accm: 2.39 (2.49) Acct: 3.81 (3.95) proj_loss: -0.5306 (-0.5321) time: 0.4870 data: 0.0003
[11-23 03:33:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:06:58 tlr: 0.00022 tnm: 0.34 Lm: 6.796 (6.797) Lt: 6.076 (6.080) Accm: 2.57 (2.55) Acct: 4.06 (3.98) proj_loss: -0.5318 (-0.5323) time: 0.4870 data: 0.0002
[11-23 03:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:03:27 tlr: 0.00022 tnm: 0.32 Lm: 6.807 (6.811) Lt: 6.085 (6.103) Accm: 2.54 (2.52) Acct: 3.93 (3.91) proj_loss: -0.5332 (-0.5361) time: 0.4868 data: 0.0002
[11-23 03:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:03:27 tlr: 0.00022 tnm: 0.32 Lm: 6.838 (6.796) Lt: 6.166 (6.111) Accm: 2.35 (2.55) Acct: 3.65 (4.00) proj_loss: -0.5268 (-0.5281) time: 0.4868 data: 0.0002
[11-23 03:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:03:27 tlr: 0.00022 tnm: 0.32 Lm: 6.848 (6.824) Lt: 6.142 (6.099) Accm: 2.50 (2.52) Acct: 3.95 (3.99) proj_loss: -0.5333 (-0.5354) time: 0.4868 data: 0.0003
[11-23 03:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:03:27 tlr: 0.00022 tnm: 0.32 Lm: 6.769 (6.785) Lt: 6.100 (6.113) Accm: 2.52 (2.58) Acct: 4.04 (4.04) proj_loss: -0.5483 (-0.5463) time: 0.4868 data: 0.0003
[11-23 03:40:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.765 (6.781) Lt: 6.069 (6.097) Accm: 2.57 (2.59) Acct: 4.18 (4.09) proj_loss: -0.5537 (-0.5486) time: 0.4894 data: 0.0021
[11-23 03:40:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:13:44 (0.494 s / it)
[11-23 03:40:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.796 (6.796) Lt: 6.076 (6.079) Accm: 2.57 (2.59) Acct: 4.06 (4.02) proj_loss: -0.5318 (-0.5348) time: 0.4894 data: 0.0021
[11-23 03:40:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.868 (6.841) Lt: 6.174 (6.131) Accm: 2.39 (2.45) Acct: 3.81 (3.84) proj_loss: -0.5359 (-0.5358) time: 0.4894 data: 0.0019
[11-23 03:40:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.876 (6.827) Lt: 6.214 (6.151) Accm: 2.29 (2.49) Acct: 3.50 (3.87) proj_loss: -0.5293 (-0.5318) time: 0.4895 data: 0.0019
[11-23 03:40:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:13:44 (0.494 s / it)
[11-23 03:40:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:13:44 (0.494 s / it)
[11-23 03:40:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:13:44 (0.494 s / it)
[11-23 03:42:46] (home/user/VAR/trainer.py, line 114)=> FID: 5.276856721122272
[11-23 03:42:47] (/home/user/VAR/train.py , line 259)=> [*] [ep49] (val 50000) Lm: 6.8175, Lt: 6.1239, Acc m&t: 2.58 4.05, Val cost: 129.48s
[11-23 03:42:47] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-23 03:43:13] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.803 (6.818), Lt: 6.104 (6.124), Acc m&t: 2.61 4.09, Remain: 2 days, 20:52:35, Finish: 2024-11-25 08:33
[11-23 03:43:13] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.803 (6.818), Lt: 6.104 (6.124), Acc m&t: 2.61 4.09, Remain: 2 days, 20:53:22, Finish: 2024-11-25 08:34
[11-23 03:43:13] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.803 (6.818), Lt: 6.104 (6.124), Acc m&t: 2.61 4.09, Remain: 2 days, 20:54:27, Finish: 2024-11-25 08:35
[11-23 03:43:13] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.803 (6.818), Lt: 6.104 (6.124), Acc m&t: 2.61 4.09, Remain: 2 days, 20:54:28, Finish: 2024-11-25 08:35
[11-23 03:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:13:14 tlr: 0.00022 tnm: 0.29 Lm: 6.836 (6.836) Lt: 6.099 (6.099) Accm: 2.62 (2.62) Acct: 4.20 (4.20) proj_loss: -0.5356 (-0.5356) time: 0.4760 data: 0.0004
[11-23 03:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:13:22 tlr: 0.00022 tnm: 0.29 Lm: 6.868 (6.868) Lt: 6.120 (6.120) Accm: 2.47 (2.47) Acct: 4.01 (4.01) proj_loss: -0.5307 (-0.5307) time: 0.4809 data: 0.0004
[11-23 03:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:13:21 tlr: 0.00022 tnm: 0.29 Lm: 6.774 (6.774) Lt: 6.016 (6.016) Accm: 2.94 (2.94) Acct: 4.56 (4.56) proj_loss: -0.5485 (-0.5485) time: 0.4802 data: 0.0004
[11-23 03:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:13:15 tlr: 0.00022 tnm: 0.29 Lm: 6.741 (6.741) Lt: 6.002 (6.002) Accm: 3.02 (3.02) Acct: 4.84 (4.84) proj_loss: -0.5138 (-0.5138) time: 0.4765 data: 0.0004
[11-23 03:46:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:10:08 tlr: 0.00022 tnm: 0.29 Lm: 6.821 (6.821) Lt: 6.132 (6.132) Accm: 2.64 (2.64) Acct: 4.24 (4.24) proj_loss: -0.5255 (-0.5255) time: 0.4829 data: 0.0003
[11-23 03:46:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:10:08 tlr: 0.00022 tnm: 0.29 Lm: 6.891 (6.891) Lt: 6.191 (6.191) Accm: 2.42 (2.42) Acct: 3.81 (3.81) proj_loss: -0.5333 (-0.5333) time: 0.4829 data: 0.0003
[11-23 03:46:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:10:08 tlr: 0.00022 tnm: 0.29 Lm: 6.884 (6.884) Lt: 6.184 (6.184) Accm: 2.58 (2.58) Acct: 4.13 (4.13) proj_loss: -0.5400 (-0.5400) time: 0.4829 data: 0.0003
[11-23 03:46:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:10:08 tlr: 0.00022 tnm: 0.29 Lm: 6.795 (6.795) Lt: 6.104 (6.104) Accm: 2.84 (2.84) Acct: 4.48 (4.48) proj_loss: -0.5380 (-0.5380) time: 0.4829 data: 0.0003
[11-23 03:50:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:07:00 tlr: 0.00022 tnm: 0.31 Lm: 6.817 (6.823) Lt: 6.190 (6.133) Accm: 2.75 (2.75) Acct: 4.39 (4.42) proj_loss: -0.5274 (-0.5343) time: 0.4864 data: 0.0003
[11-23 03:50:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:07:00 tlr: 0.00022 tnm: 0.31 Lm: 6.868 (6.856) Lt: 6.120 (6.146) Accm: 2.47 (2.46) Acct: 3.98 (3.87) proj_loss: -0.5359 (-0.5355) time: 0.4864 data: 0.0003
[11-23 03:50:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:07:00 tlr: 0.00022 tnm: 0.31 Lm: 6.836 (6.800) Lt: 6.099 (6.120) Accm: 2.62 (2.74) Acct: 4.20 (4.34) proj_loss: -0.5418 (-0.5406) time: 0.4864 data: 0.0003
[11-23 03:50:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:07:00 tlr: 0.00022 tnm: 0.31 Lm: 6.800 (6.814) Lt: 6.031 (6.098) Accm: 2.72 (2.67) Acct: 4.42 (4.30) proj_loss: -0.5372 (-0.5308) time: 0.4864 data: 0.0003
[11-23 03:53:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.30 Lm: 6.777 (6.799) Lt: 6.017 (6.067) Accm: 2.70 (2.67) Acct: 4.37 (4.30) proj_loss: -0.5284 (-0.5280) time: 0.4866 data: 0.0003
[11-23 03:53:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.30 Lm: 6.875 (6.862) Lt: 6.165 (6.162) Accm: 2.50 (2.49) Acct: 3.87 (3.84) proj_loss: -0.5360 (-0.5357) time: 0.4866 data: 0.0003
[11-23 03:53:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.30 Lm: 6.871 (6.827) Lt: 6.179 (6.155) Accm: 2.58 (2.68) Acct: 4.13 (4.26) proj_loss: -0.5431 (-0.5418) time: 0.4866 data: 0.0003
[11-23 03:53:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.30 Lm: 6.847 (6.838) Lt: 6.191 (6.152) Accm: 2.66 (2.65) Acct: 4.35 (4.15) proj_loss: -0.5327 (-0.5352) time: 0.4866 data: 0.0002
[11-23 03:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.858 (6.842) Lt: 6.190 (6.155) Accm: 2.60 (2.64) Acct: 4.30 (4.18) proj_loss: -0.5280 (-0.5338) time: 0.4932 data: 0.0021
[11-23 03:57:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:13:52 (0.499 s / it)
[11-23 03:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.868 (6.850) Lt: 6.120 (6.151) Accm: 2.53 (2.50) Acct: 3.84 (3.84) proj_loss: -0.5359 (-0.5332) time: 0.4932 data: 0.0017
[11-23 03:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.836 (6.815) Lt: 6.099 (6.134) Accm: 2.55 (2.62) Acct: 4.06 (4.16) proj_loss: -0.5418 (-0.5401) time: 0.4932 data: 0.0020
[11-23 03:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.800 (6.834) Lt: 6.031 (6.114) Accm: 2.67 (2.52) Acct: 4.32 (4.09) proj_loss: -0.5218 (-0.5267) time: 0.4932 data: 0.0019
[11-23 03:57:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:13:52 (0.499 s / it)
[11-23 03:57:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:13:52 (0.499 s / it)
[11-23 03:57:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:13:52 (0.499 s / it)
[11-23 03:57:05] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.803 (6.812), Lt: 6.104 (6.112), Acc m&t: 2.61 4.12, Remain: 2 days, 20:57:02, Finish: 2024-11-25 08:54
[11-23 03:57:05] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.803 (6.812), Lt: 6.104 (6.112), Acc m&t: 2.61 4.12, Remain: 2 days, 20:55:40, Finish: 2024-11-25 08:52
[11-23 03:57:05] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.803 (6.812), Lt: 6.104 (6.112), Acc m&t: 2.61 4.12, Remain: 2 days, 20:57:13, Finish: 2024-11-25 08:54
[11-23 03:57:05] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.803 (6.812), Lt: 6.104 (6.112), Acc m&t: 2.61 4.12, Remain: 2 days, 20:58:56, Finish: 2024-11-25 08:56
[11-23 03:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:13:31 tlr: 0.00022 tnm: 0.29 Lm: 6.883 (6.883) Lt: 6.111 (6.111) Accm: 2.17 (2.17) Acct: 3.32 (3.32) proj_loss: -0.5282 (-0.5282) time: 0.4860 data: 0.0004
[11-23 03:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:13:01 tlr: 0.00022 tnm: 0.29 Lm: 6.942 (6.942) Lt: 6.267 (6.267) Accm: 2.39 (2.39) Acct: 3.87 (3.87) proj_loss: -0.5273 (-0.5273) time: 0.4680 data: 0.0003
[11-23 03:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:13:03 tlr: 0.00022 tnm: 0.29 Lm: 6.820 (6.820) Lt: 6.105 (6.105) Accm: 2.66 (2.66) Acct: 4.12 (4.12) proj_loss: -0.5414 (-0.5414) time: 0.4696 data: 0.0003
[11-23 03:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:13:04 tlr: 0.00022 tnm: 0.29 Lm: 6.769 (6.769) Lt: 6.046 (6.046) Accm: 2.57 (2.57) Acct: 4.17 (4.17) proj_loss: -0.5424 (-0.5424) time: 0.4702 data: 0.0004
[11-23 04:00:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.31 Lm: 6.711 (6.711) Lt: 5.965 (5.965) Accm: 2.75 (2.75) Acct: 4.37 (4.37) proj_loss: -0.5331 (-0.5331) time: 0.4879 data: 0.0003
[11-23 04:00:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.31 Lm: 6.847 (6.847) Lt: 6.123 (6.123) Accm: 2.56 (2.56) Acct: 3.90 (3.90) proj_loss: -0.5402 (-0.5402) time: 0.4879 data: 0.0003
[11-23 04:00:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.31 Lm: 6.793 (6.793) Lt: 6.031 (6.031) Accm: 2.54 (2.54) Acct: 3.98 (3.98) proj_loss: -0.5272 (-0.5272) time: 0.4879 data: 0.0003
[11-23 04:00:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.31 Lm: 6.826 (6.826) Lt: 6.130 (6.130) Accm: 2.65 (2.65) Acct: 4.20 (4.20) proj_loss: -0.5255 (-0.5255) time: 0.4879 data: 0.0003
[11-23 04:03:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:06:46 tlr: 0.00022 tnm: 0.30 Lm: 6.857 (6.836) Lt: 6.163 (6.141) Accm: 2.59 (2.63) Acct: 4.01 (4.14) proj_loss: -0.5273 (-0.5264) time: 0.4836 data: 0.0003
[11-23 04:03:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:06:46 tlr: 0.00022 tnm: 0.30 Lm: 6.752 (6.779) Lt: 6.042 (6.035) Accm: 2.64 (2.58) Acct: 4.12 (4.02) proj_loss: -0.5282 (-0.5314) time: 0.4836 data: 0.0003
[11-23 04:03:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:06:46 tlr: 0.00022 tnm: 0.30 Lm: 6.769 (6.742) Lt: 6.046 (6.003) Accm: 2.62 (2.70) Acct: 4.17 (4.30) proj_loss: -0.5424 (-0.5383) time: 0.4836 data: 0.0003
[11-23 04:03:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:06:46 tlr: 0.00022 tnm: 0.30 Lm: 6.834 (6.843) Lt: 6.105 (6.109) Accm: 2.66 (2.62) Acct: 4.12 (4.13) proj_loss: -0.5390 (-0.5375) time: 0.4837 data: 0.0003
[11-23 04:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:03:25 tlr: 0.00022 tnm: 0.28 Lm: 6.845 (6.846) Lt: 6.105 (6.108) Accm: 2.56 (2.57) Acct: 4.02 (4.08) proj_loss: -0.5356 (-0.5324) time: 0.4860 data: 0.0003
[11-23 04:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:03:25 tlr: 0.00022 tnm: 0.28 Lm: 6.864 (6.845) Lt: 6.194 (6.162) Accm: 2.49 (2.54) Acct: 3.94 (3.96) proj_loss: -0.5278 (-0.5371) time: 0.4860 data: 0.0003
[11-23 04:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:03:25 tlr: 0.00022 tnm: 0.28 Lm: 6.817 (6.828) Lt: 6.077 (6.093) Accm: 2.53 (2.54) Acct: 3.99 (3.98) proj_loss: -0.5319 (-0.5324) time: 0.4860 data: 0.0003
[11-23 04:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:03:25 tlr: 0.00022 tnm: 0.28 Lm: 6.786 (6.774) Lt: 6.063 (6.041) Accm: 2.60 (2.63) Acct: 4.17 (4.15) proj_loss: -0.5417 (-0.5390) time: 0.4860 data: 0.0003
[11-23 04:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.782 (6.775) Lt: 6.080 (6.052) Accm: 2.59 (2.62) Acct: 4.17 (4.17) proj_loss: -0.5424 (-0.5399) time: 0.5492 data: 0.0015
[11-23 04:11:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:13:53 (0.499 s / it)
[11-23 04:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.752 (6.812) Lt: 6.059 (6.086) Accm: 2.64 (2.58) Acct: 4.12 (4.04) proj_loss: -0.5356 (-0.5378) time: 0.5492 data: 0.0015
[11-23 04:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.857 (6.830) Lt: 6.163 (6.137) Accm: 2.59 (2.57) Acct: 4.01 (4.01) proj_loss: -0.5282 (-0.5384) time: 0.5492 data: 0.0015
[11-23 04:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.834 (6.838) Lt: 6.106 (6.115) Accm: 2.58 (2.57) Acct: 3.94 (4.05) proj_loss: -0.5322 (-0.5308) time: 0.5492 data: 0.0019
[11-23 04:11:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:13:53 (0.499 s / it)
[11-23 04:11:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:13:53 (0.499 s / it)
[11-23 04:11:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:13:53 (0.499 s / it)
[11-23 04:11:02] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.803 (6.809), Lt: 6.104 (6.106), Acc m&t: 2.61 4.12, Remain: 2 days, 20:46:18, Finish: 2024-11-25 08:57
[11-23 04:11:02] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.803 (6.809), Lt: 6.104 (6.106), Acc m&t: 2.61 4.12, Remain: 2 days, 20:44:40, Finish: 2024-11-25 08:55
[11-23 04:11:02] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.803 (6.809), Lt: 6.104 (6.106), Acc m&t: 2.61 4.12, Remain: 2 days, 20:45:13, Finish: 2024-11-25 08:56
[11-23 04:11:02] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.803 (6.809), Lt: 6.104 (6.106), Acc m&t: 2.61 4.12, Remain: 2 days, 20:47:52, Finish: 2024-11-25 08:58
[11-23 04:11:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:12:38 tlr: 0.00022 tnm: 0.30 Lm: 6.911 (6.911) Lt: 6.231 (6.231) Accm: 2.30 (2.30) Acct: 3.50 (3.50) proj_loss: -0.5399 (-0.5399) time: 0.4546 data: 0.0003
[11-23 04:11:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:12:39 tlr: 0.00022 tnm: 0.30 Lm: 6.895 (6.895) Lt: 6.154 (6.154) Accm: 2.40 (2.40) Acct: 3.70 (3.70) proj_loss: -0.5167 (-0.5167) time: 0.4551 data: 0.0003
[11-23 04:11:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:12:39 tlr: 0.00022 tnm: 0.30 Lm: 6.899 (6.899) Lt: 6.235 (6.235) Accm: 2.26 (2.26) Acct: 3.44 (3.44) proj_loss: -0.5294 (-0.5294) time: 0.4553 data: 0.0004
[11-23 04:11:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:12:40 tlr: 0.00022 tnm: 0.30 Lm: 6.980 (6.980) Lt: 6.291 (6.291) Accm: 2.17 (2.17) Acct: 3.58 (3.58) proj_loss: -0.5259 (-0.5259) time: 0.4554 data: 0.0004
[11-23 04:14:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.31 Lm: 6.990 (6.990) Lt: 6.329 (6.329) Accm: 2.14 (2.14) Acct: 3.36 (3.36) proj_loss: -0.5435 (-0.5435) time: 0.4889 data: 0.0003
[11-23 04:14:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.31 Lm: 6.873 (6.873) Lt: 6.211 (6.211) Accm: 2.34 (2.34) Acct: 3.62 (3.62) proj_loss: -0.5294 (-0.5294) time: 0.4888 data: 0.0003
[11-23 04:14:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.31 Lm: 6.781 (6.781) Lt: 6.071 (6.071) Accm: 2.65 (2.65) Acct: 4.15 (4.15) proj_loss: -0.5184 (-0.5184) time: 0.4888 data: 0.0003
[11-23 04:14:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.31 Lm: 6.899 (6.899) Lt: 6.221 (6.221) Accm: 2.25 (2.25) Acct: 3.55 (3.55) proj_loss: -0.5289 (-0.5289) time: 0.4888 data: 0.0003
[11-23 04:17:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.28 Lm: 6.887 (6.866) Lt: 6.211 (6.169) Accm: 2.30 (2.40) Acct: 3.60 (3.79) proj_loss: -0.5253 (-0.5277) time: 0.5431 data: 0.0003
[11-23 04:17:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:06:49 tlr: 0.00022 tnm: 0.28 Lm: 6.743 (6.768) Lt: 6.029 (6.057) Accm: 2.72 (2.67) Acct: 3.98 (4.09) proj_loss: -0.5200 (-0.5228) time: 0.5431 data: 0.0003
[11-23 04:17:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:06:49 tlr: 0.00022 tnm: 0.28 Lm: 6.846 (6.859) Lt: 6.186 (6.181) Accm: 2.26 (2.29) Acct: 3.46 (3.56) proj_loss: -0.5294 (-0.5242) time: 0.5431 data: 0.0003
[11-23 04:17:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:06:49 tlr: 0.00022 tnm: 0.28 Lm: 6.980 (6.909) Lt: 6.291 (6.213) Accm: 2.17 (2.27) Acct: 3.58 (3.57) proj_loss: -0.5259 (-0.5340) time: 0.5431 data: 0.0003
[11-23 04:21:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.32 Lm: 6.864 (6.866) Lt: 6.136 (6.152) Accm: 2.36 (2.40) Acct: 3.79 (3.83) proj_loss: -0.5204 (-0.5272) time: 0.4873 data: 0.0002
[11-23 04:21:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.32 Lm: 6.864 (6.865) Lt: 6.167 (6.173) Accm: 2.29 (2.30) Acct: 3.61 (3.61) proj_loss: -0.5269 (-0.5243) time: 0.4873 data: 0.0003
[11-23 04:21:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.32 Lm: 6.843 (6.834) Lt: 6.137 (6.138) Accm: 2.49 (2.48) Acct: 3.92 (3.90) proj_loss: -0.5312 (-0.5300) time: 0.4873 data: 0.0003
[11-23 04:21:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.32 Lm: 6.749 (6.765) Lt: 6.047 (6.059) Accm: 2.66 (2.65) Acct: 4.07 (4.11) proj_loss: -0.5259 (-0.5298) time: 0.4873 data: 0.0003
[11-23 04:24:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.754 (6.796) Lt: 6.065 (6.096) Accm: 2.59 (2.61) Acct: 3.98 (4.05) proj_loss: -0.5317 (-0.5317) time: 0.4883 data: 0.0015
[11-23 04:24:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:13:35 (0.488 s / it)
[11-23 04:24:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.837 (6.860) Lt: 6.105 (6.143) Accm: 2.49 (2.42) Acct: 3.99 (3.87) proj_loss: -0.5256 (-0.5269) time: 0.4883 data: 0.0016
[11-23 04:24:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.846 (6.848) Lt: 6.148 (6.157) Accm: 2.32 (2.30) Acct: 3.62 (3.61) proj_loss: -0.5294 (-0.5257) time: 0.4883 data: 0.0021
[11-23 04:24:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.887 (6.849) Lt: 6.211 (6.154) Accm: 2.37 (2.46) Acct: 3.60 (3.82) proj_loss: -0.5308 (-0.5302) time: 0.4883 data: 0.0014
[11-23 04:24:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:13:35 (0.488 s / it)
[11-23 04:24:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:13:35 (0.488 s / it)
[11-23 04:24:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:13:35 (0.488 s / it)
[11-23 04:24:38] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.800 (6.800), Lt: 6.098 (6.098), Acc m&t: 2.62 4.12, Remain: 2 days, 19:59:02, Finish: 2024-11-25 08:23
[11-23 04:24:38] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.800 (6.800), Lt: 6.098 (6.098), Acc m&t: 2.62 4.12, Remain: 2 days, 19:59:03, Finish: 2024-11-25 08:23
[11-23 04:24:38] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.800 (6.800), Lt: 6.098 (6.098), Acc m&t: 2.62 4.12, Remain: 2 days, 19:59:33, Finish: 2024-11-25 08:24
[11-23 04:24:38] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.800 (6.800), Lt: 6.098 (6.098), Acc m&t: 2.62 4.12, Remain: 2 days, 19:59:06, Finish: 2024-11-25 08:23
[11-23 04:24:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:13:13 tlr: 0.00022 tnm: 0.29 Lm: 6.886 (6.886) Lt: 6.252 (6.252) Accm: 2.76 (2.76) Acct: 4.22 (4.22) proj_loss: -0.5160 (-0.5160) time: 0.4755 data: 0.0004
[11-23 04:24:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:13:12 tlr: 0.00022 tnm: 0.29 Lm: 6.840 (6.840) Lt: 6.148 (6.148) Accm: 2.54 (2.54) Acct: 4.03 (4.03) proj_loss: -0.5101 (-0.5101) time: 0.4747 data: 0.0003
[11-23 04:24:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:13:13 tlr: 0.00022 tnm: 0.29 Lm: 6.857 (6.857) Lt: 6.231 (6.231) Accm: 2.19 (2.19) Acct: 3.41 (3.41) proj_loss: -0.5563 (-0.5563) time: 0.4755 data: 0.0004
[11-23 04:24:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:13:13 tlr: 0.00022 tnm: 0.29 Lm: 6.714 (6.714) Lt: 6.000 (6.000) Accm: 3.04 (3.04) Acct: 4.77 (4.77) proj_loss: -0.5443 (-0.5443) time: 0.4755 data: 0.0004
[11-23 04:28:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:10:43 tlr: 0.00022 tnm: 0.32 Lm: 6.815 (6.815) Lt: 6.147 (6.147) Accm: 2.63 (2.63) Acct: 4.03 (4.03) proj_loss: -0.5416 (-0.5416) time: 0.5434 data: 0.0003
[11-23 04:28:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:10:43 tlr: 0.00022 tnm: 0.32 Lm: 6.890 (6.890) Lt: 6.232 (6.232) Accm: 2.33 (2.33) Acct: 3.75 (3.75) proj_loss: -0.5423 (-0.5423) time: 0.5434 data: 0.0003
[11-23 04:28:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:10:43 tlr: 0.00022 tnm: 0.32 Lm: 6.827 (6.827) Lt: 6.158 (6.158) Accm: 2.60 (2.60) Acct: 4.12 (4.12) proj_loss: -0.5206 (-0.5206) time: 0.5434 data: 0.0003
[11-23 04:28:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:10:43 tlr: 0.00022 tnm: 0.32 Lm: 6.839 (6.839) Lt: 6.162 (6.162) Accm: 2.52 (2.52) Acct: 3.98 (3.98) proj_loss: -0.5242 (-0.5242) time: 0.5434 data: 0.0002
[11-23 04:31:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:07:02 tlr: 0.00022 tnm: 0.30 Lm: 6.837 (6.820) Lt: 6.148 (6.122) Accm: 2.51 (2.51) Acct: 4.03 (4.00) proj_loss: -0.5219 (-0.5235) time: 0.4846 data: 0.0003
[11-23 04:31:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:07:02 tlr: 0.00022 tnm: 0.30 Lm: 6.724 (6.784) Lt: 6.077 (6.124) Accm: 2.72 (2.66) Acct: 4.15 (4.07) proj_loss: -0.5443 (-0.5464) time: 0.4846 data: 0.0003
[11-23 04:31:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:07:02 tlr: 0.00022 tnm: 0.30 Lm: 6.781 (6.812) Lt: 6.064 (6.118) Accm: 2.76 (2.67) Acct: 4.22 (4.22) proj_loss: -0.5251 (-0.5265) time: 0.4846 data: 0.0002
[11-23 04:31:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:07:02 tlr: 0.00022 tnm: 0.30 Lm: 6.857 (6.878) Lt: 6.231 (6.209) Accm: 2.40 (2.36) Acct: 3.84 (3.78) proj_loss: -0.5363 (-0.5403) time: 0.4845 data: 0.0002
[11-23 04:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.31 Lm: 6.867 (6.878) Lt: 6.198 (6.183) Accm: 2.33 (2.33) Acct: 3.72 (3.74) proj_loss: -0.5322 (-0.5352) time: 0.4877 data: 0.0002
[11-23 04:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.31 Lm: 6.839 (6.884) Lt: 6.162 (6.205) Accm: 2.50 (2.43) Acct: 3.98 (3.87) proj_loss: -0.5301 (-0.5281) time: 0.4877 data: 0.0003
[11-23 04:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.31 Lm: 6.809 (6.812) Lt: 6.140 (6.143) Accm: 2.48 (2.56) Acct: 3.80 (3.91) proj_loss: -0.5416 (-0.5379) time: 0.4877 data: 0.0003
[11-23 04:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.31 Lm: 6.834 (6.843) Lt: 6.158 (6.164) Accm: 2.60 (2.54) Acct: 4.12 (4.03) proj_loss: -0.5317 (-0.5333) time: 0.4877 data: 0.0002
[11-23 04:38:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.781 (6.805) Lt: 6.064 (6.129) Accm: 2.76 (2.63) Acct: 4.22 (4.10) proj_loss: -0.5382 (-0.5358) time: 0.4906 data: 0.0016
[11-23 04:38:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:13:52 (0.499 s / it)
[11-23 04:38:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.857 (6.859) Lt: 6.165 (6.167) Accm: 2.40 (2.42) Acct: 3.84 (3.84) proj_loss: -0.5282 (-0.5327) time: 0.4906 data: 0.0016
[11-23 04:38:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.755 (6.801) Lt: 6.077 (6.129) Accm: 2.64 (2.57) Acct: 3.94 (3.92) proj_loss: -0.5443 (-0.5403) time: 0.4906 data: 0.0018
[11-23 04:38:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.840 (6.883) Lt: 6.176 (6.199) Accm: 2.51 (2.45) Acct: 4.03 (3.90) proj_loss: -0.5356 (-0.5296) time: 0.4906 data: 0.0015
[11-23 04:38:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:13:52 (0.499 s / it)
[11-23 04:38:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:13:52 (0.499 s / it)
[11-23 04:38:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:13:52 (0.499 s / it)
[11-23 04:38:30] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.796 (6.796), Lt: 6.095 (6.095), Acc m&t: 2.63 4.14, Remain: 2 days, 20:01:55, Finish: 2024-11-25 08:40
[11-23 04:38:30] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.796 (6.796), Lt: 6.095 (6.095), Acc m&t: 2.63 4.14, Remain: 2 days, 20:01:53, Finish: 2024-11-25 08:40
[11-23 04:38:30] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.796 (6.796), Lt: 6.095 (6.095), Acc m&t: 2.63 4.14, Remain: 2 days, 20:01:54, Finish: 2024-11-25 08:40
[11-23 04:38:30] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.796 (6.796), Lt: 6.095 (6.095), Acc m&t: 2.63 4.14, Remain: 2 days, 20:02:19, Finish: 2024-11-25 08:40
[11-23 04:38:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:12:48 tlr: 0.00022 tnm: 0.31 Lm: 6.903 (6.903) Lt: 6.193 (6.193) Accm: 2.29 (2.29) Acct: 3.74 (3.74) proj_loss: -0.5304 (-0.5304) time: 0.4602 data: 0.0004
[11-23 04:38:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:12:47 tlr: 0.00022 tnm: 0.31 Lm: 6.841 (6.841) Lt: 6.169 (6.169) Accm: 2.45 (2.45) Acct: 3.58 (3.58) proj_loss: -0.5307 (-0.5307) time: 0.4601 data: 0.0003
[11-23 04:38:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:12:48 tlr: 0.00022 tnm: 0.31 Lm: 6.758 (6.758) Lt: 6.094 (6.094) Accm: 2.51 (2.51) Acct: 4.03 (4.03) proj_loss: -0.5432 (-0.5432) time: 0.4603 data: 0.0004
[11-23 04:38:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:12:48 tlr: 0.00022 tnm: 0.31 Lm: 6.881 (6.881) Lt: 6.164 (6.164) Accm: 2.29 (2.29) Acct: 3.51 (3.51) proj_loss: -0.5381 (-0.5381) time: 0.4603 data: 0.0003
[11-23 04:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.30 Lm: 6.905 (6.905) Lt: 6.223 (6.223) Accm: 2.21 (2.21) Acct: 3.33 (3.33) proj_loss: -0.5360 (-0.5360) time: 0.4915 data: 0.0003
[11-23 04:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.30 Lm: 6.917 (6.917) Lt: 6.209 (6.209) Accm: 2.16 (2.16) Acct: 3.35 (3.35) proj_loss: -0.5274 (-0.5274) time: 0.4915 data: 0.0003
[11-23 04:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.30 Lm: 6.791 (6.791) Lt: 6.088 (6.088) Accm: 2.55 (2.55) Acct: 3.95 (3.95) proj_loss: -0.5237 (-0.5237) time: 0.4915 data: 0.0003
[11-23 04:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.30 Lm: 6.831 (6.831) Lt: 6.167 (6.167) Accm: 2.40 (2.40) Acct: 3.93 (3.93) proj_loss: -0.5476 (-0.5476) time: 0.4915 data: 0.0003
[11-23 04:45:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.31 Lm: 6.766 (6.809) Lt: 6.094 (6.133) Accm: 2.51 (2.49) Acct: 4.03 (4.00) proj_loss: -0.5442 (-0.5465) time: 0.4862 data: 0.0003
[11-23 04:45:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.31 Lm: 6.903 (6.843) Lt: 6.193 (6.134) Accm: 2.29 (2.45) Acct: 3.74 (3.87) proj_loss: -0.5304 (-0.5350) time: 0.4861 data: 0.0003
[11-23 04:45:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.31 Lm: 6.915 (6.909) Lt: 6.246 (6.231) Accm: 2.29 (2.28) Acct: 3.51 (3.54) proj_loss: -0.5381 (-0.5417) time: 0.4862 data: 0.0002
[11-23 04:45:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.31 Lm: 6.741 (6.750) Lt: 6.006 (6.033) Accm: 2.66 (2.79) Acct: 4.32 (4.36) proj_loss: -0.5292 (-0.5255) time: 0.4862 data: 0.0003
[11-23 04:48:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:03:25 tlr: 0.00022 tnm: 0.30 Lm: 6.756 (6.755) Lt: 6.030 (6.038) Accm: 2.65 (2.75) Acct: 4.15 (4.26) proj_loss: -0.5300 (-0.5305) time: 0.4857 data: 0.0003
[11-23 04:48:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:03:25 tlr: 0.00022 tnm: 0.30 Lm: 6.798 (6.814) Lt: 6.124 (6.138) Accm: 2.50 (2.49) Acct: 4.02 (4.00) proj_loss: -0.5437 (-0.5444) time: 0.4857 data: 0.0003
[11-23 04:48:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:03:25 tlr: 0.00022 tnm: 0.30 Lm: 6.805 (6.809) Lt: 6.100 (6.103) Accm: 2.51 (2.52) Acct: 4.09 (4.01) proj_loss: -0.5274 (-0.5305) time: 0.4857 data: 0.0002
[11-23 04:48:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:03:25 tlr: 0.00022 tnm: 0.30 Lm: 6.898 (6.879) Lt: 6.205 (6.206) Accm: 2.36 (2.38) Acct: 3.73 (3.70) proj_loss: -0.5375 (-0.5405) time: 0.4858 data: 0.0003
[11-23 04:52:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.881 (6.867) Lt: 6.164 (6.194) Accm: 2.43 (2.43) Acct: 3.94 (3.75) proj_loss: -0.5381 (-0.5404) time: 0.4918 data: 0.0020
[11-23 04:52:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:13:55 (0.501 s / it)
[11-23 04:52:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.741 (6.751) Lt: 6.053 (6.045) Accm: 2.66 (2.73) Acct: 3.98 (4.19) proj_loss: -0.5292 (-0.5293) time: 0.4918 data: 0.0017
[11-23 04:52:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.766 (6.803) Lt: 6.107 (6.132) Accm: 2.51 (2.52) Acct: 4.03 (4.01) proj_loss: -0.5442 (-0.5446) time: 0.4918 data: 0.0016
[11-23 04:52:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.885 (6.825) Lt: 6.189 (6.120) Accm: 2.54 (2.52) Acct: 3.74 (3.95) proj_loss: -0.5304 (-0.5331) time: 0.4918 data: 0.0019
[11-23 04:52:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:13:55 (0.501 s / it)
[11-23 04:52:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:13:55 (0.501 s / it)
[11-23 04:52:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:13:55 (0.501 s / it)
[11-23 04:52:26] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.795 (6.795), Lt: 6.095 (6.096), Acc m&t: 2.63 4.14, Remain: 2 days, 19:51:56, Finish: 2024-11-25 08:44
[11-23 04:52:26] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.795 (6.795), Lt: 6.095 (6.096), Acc m&t: 2.63 4.14, Remain: 2 days, 19:50:44, Finish: 2024-11-25 08:43
[11-23 04:52:26] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.795 (6.795), Lt: 6.095 (6.096), Acc m&t: 2.63 4.14, Remain: 2 days, 19:51:01, Finish: 2024-11-25 08:43
[11-23 04:52:26] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.795 (6.795), Lt: 6.095 (6.096), Acc m&t: 2.63 4.14, Remain: 2 days, 19:51:47, Finish: 2024-11-25 08:44
[11-23 04:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:13:08 tlr: 0.00022 tnm: 0.29 Lm: 6.858 (6.858) Lt: 6.174 (6.174) Accm: 2.57 (2.57) Acct: 4.24 (4.24) proj_loss: -0.5359 (-0.5359) time: 0.4724 data: 0.0003
[11-23 04:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:13:08 tlr: 0.00022 tnm: 0.29 Lm: 6.756 (6.756) Lt: 5.981 (5.981) Accm: 2.61 (2.61) Acct: 4.27 (4.27) proj_loss: -0.5002 (-0.5002) time: 0.4725 data: 0.0003
[11-23 04:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:13:09 tlr: 0.00022 tnm: 0.29 Lm: 6.784 (6.784) Lt: 6.116 (6.116) Accm: 2.76 (2.76) Acct: 4.27 (4.27) proj_loss: -0.5270 (-0.5270) time: 0.4729 data: 0.0004
[11-23 04:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:13:10 tlr: 0.00022 tnm: 0.29 Lm: 6.705 (6.705) Lt: 5.969 (5.969) Accm: 2.86 (2.86) Acct: 4.70 (4.70) proj_loss: -0.5396 (-0.5396) time: 0.4738 data: 0.0004
[11-23 04:55:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.33 Lm: 6.747 (6.747) Lt: 6.043 (6.043) Accm: 2.71 (2.71) Acct: 4.38 (4.38) proj_loss: -0.5373 (-0.5373) time: 0.4903 data: 0.0003
[11-23 04:55:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.33 Lm: 6.790 (6.790) Lt: 6.081 (6.081) Accm: 2.74 (2.74) Acct: 4.49 (4.49) proj_loss: -0.5231 (-0.5231) time: 0.4903 data: 0.0003
[11-23 04:55:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.33 Lm: 6.810 (6.810) Lt: 6.074 (6.074) Accm: 2.57 (2.57) Acct: 4.11 (4.11) proj_loss: -0.5145 (-0.5145) time: 0.4903 data: 0.0003
[11-23 04:55:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.33 Lm: 6.867 (6.867) Lt: 6.212 (6.212) Accm: 2.51 (2.51) Acct: 3.93 (3.93) proj_loss: -0.5289 (-0.5289) time: 0.4903 data: 0.0003
[11-23 04:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.29 Lm: 6.784 (6.803) Lt: 6.116 (6.128) Accm: 2.76 (2.68) Acct: 4.27 (4.08) proj_loss: -0.5309 (-0.5314) time: 0.5401 data: 0.0002
[11-23 04:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.29 Lm: 6.723 (6.739) Lt: 6.016 (6.034) Accm: 2.86 (2.78) Acct: 4.44 (4.40) proj_loss: -0.5396 (-0.5392) time: 0.5401 data: 0.0003
[11-23 04:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.29 Lm: 6.756 (6.770) Lt: 5.981 (6.028) Accm: 2.61 (2.69) Acct: 4.27 (4.17) proj_loss: -0.5287 (-0.5294) time: 0.5402 data: 0.0002
[11-23 04:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:06:48 tlr: 0.00022 tnm: 0.29 Lm: 6.723 (6.767) Lt: 6.041 (6.068) Accm: 2.57 (2.67) Acct: 4.24 (4.26) proj_loss: -0.5359 (-0.5331) time: 0.5401 data: 0.0003
[11-23 05:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.29 Lm: 6.737 (6.763) Lt: 6.069 (6.075) Accm: 2.72 (2.72) Acct: 4.11 (4.19) proj_loss: -0.5368 (-0.5342) time: 0.4906 data: 0.0003
[11-23 05:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.29 Lm: 6.748 (6.763) Lt: 6.008 (6.030) Accm: 2.76 (2.78) Acct: 4.28 (4.32) proj_loss: -0.5387 (-0.5342) time: 0.4906 data: 0.0003
[11-23 05:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.29 Lm: 6.776 (6.795) Lt: 6.107 (6.120) Accm: 2.78 (2.71) Acct: 4.23 (4.11) proj_loss: -0.5336 (-0.5385) time: 0.4906 data: 0.0003
[11-23 05:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:03:24 tlr: 0.00022 tnm: 0.29 Lm: 6.756 (6.776) Lt: 6.066 (6.065) Accm: 2.71 (2.68) Acct: 4.25 (4.26) proj_loss: -0.5400 (-0.5395) time: 0.4906 data: 0.0003
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.789 (6.793) Lt: 6.116 (6.084) Accm: 2.56 (2.65) Acct: 4.10 (4.23) proj_loss: -0.5404 (-0.5399) time: 0.4933 data: 0.0018
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:13:34 (0.488 s / it)
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.723 (6.750) Lt: 6.044 (6.069) Accm: 2.86 (2.77) Acct: 4.24 (4.22) proj_loss: -0.5377 (-0.5367) time: 0.4933 data: 0.0013
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.769 (6.779) Lt: 6.098 (6.103) Accm: 2.80 (2.73) Acct: 4.20 (4.13) proj_loss: -0.5363 (-0.5399) time: 0.4933 data: 0.0016
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.756 (6.764) Lt: 6.034 (6.045) Accm: 2.80 (2.79) Acct: 4.27 (4.30) proj_loss: -0.5321 (-0.5338) time: 0.4933 data: 0.0016
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:13:34 (0.488 s / it)
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:13:34 (0.488 s / it)
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:13:34 (0.488 s / it)
[11-23 05:06:01] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.795 (6.806), Lt: 6.095 (6.107), Acc m&t: 2.63 4.14, Remain: 2 days, 19:39:31, Finish: 2024-11-25 08:45
[11-23 05:06:01] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.795 (6.806), Lt: 6.095 (6.107), Acc m&t: 2.63 4.14, Remain: 2 days, 19:38:06, Finish: 2024-11-25 08:44
[11-23 05:06:01] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.795 (6.806), Lt: 6.095 (6.107), Acc m&t: 2.63 4.14, Remain: 2 days, 19:39:49, Finish: 2024-11-25 08:45
[11-23 05:06:01] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.795 (6.806), Lt: 6.095 (6.107), Acc m&t: 2.63 4.14, Remain: 2 days, 19:40:36, Finish: 2024-11-25 08:46
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:13:03 tlr: 0.00022 tnm: 0.31 Lm: 6.610 (6.610) Lt: 5.925 (5.925) Accm: 2.91 (2.91) Acct: 4.53 (4.53) proj_loss: -0.5513 (-0.5513) time: 0.4694 data: 0.0004
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:13:03 tlr: 0.00022 tnm: 0.31 Lm: 6.956 (6.956) Lt: 6.231 (6.231) Accm: 2.17 (2.17) Acct: 3.24 (3.24) proj_loss: -0.5185 (-0.5185) time: 0.4696 data: 0.0004
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:13:04 tlr: 0.00022 tnm: 0.31 Lm: 6.873 (6.873) Lt: 6.163 (6.163) Accm: 2.44 (2.44) Acct: 4.05 (4.05) proj_loss: -0.5335 (-0.5335) time: 0.4700 data: 0.0003
[11-23 05:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:13:04 tlr: 0.00022 tnm: 0.31 Lm: 6.906 (6.906) Lt: 6.231 (6.231) Accm: 2.35 (2.35) Acct: 3.60 (3.60) proj_loss: -0.5408 (-0.5408) time: 0.4700 data: 0.0004
[11-23 05:09:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:10:57 tlr: 0.00022 tnm: 0.33 Lm: 6.907 (6.907) Lt: 6.236 (6.236) Accm: 2.31 (2.31) Acct: 3.52 (3.52) proj_loss: -0.5419 (-0.5419) time: 0.4858 data: 0.0003
[11-23 05:09:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:10:57 tlr: 0.00022 tnm: 0.33 Lm: 6.909 (6.909) Lt: 6.212 (6.212) Accm: 2.42 (2.42) Acct: 3.81 (3.81) proj_loss: -0.5432 (-0.5432) time: 0.4858 data: 0.0003
[11-23 05:09:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:10:57 tlr: 0.00022 tnm: 0.33 Lm: 6.817 (6.817) Lt: 6.137 (6.137) Accm: 2.33 (2.33) Acct: 3.50 (3.50) proj_loss: -0.5320 (-0.5320) time: 0.4858 data: 0.0003
[11-23 05:09:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:10:57 tlr: 0.00022 tnm: 0.33 Lm: 6.634 (6.634) Lt: 5.934 (5.934) Accm: 2.95 (2.95) Acct: 4.66 (4.66) proj_loss: -0.5385 (-0.5385) time: 0.4858 data: 0.0003
[11-23 05:13:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:07:08 tlr: 0.00022 tnm: 0.31 Lm: 6.658 (6.643) Lt: 5.925 (5.931) Accm: 2.91 (2.87) Acct: 4.53 (4.51) proj_loss: -0.5395 (-0.5388) time: 0.4836 data: 0.0002
[11-23 05:13:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:07:08 tlr: 0.00022 tnm: 0.31 Lm: 6.873 (6.873) Lt: 6.163 (6.175) Accm: 2.44 (2.45) Acct: 4.05 (3.91) proj_loss: -0.5335 (-0.5382) time: 0.4836 data: 0.0003
[11-23 05:13:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:07:08 tlr: 0.00022 tnm: 0.31 Lm: 6.785 (6.806) Lt: 6.091 (6.122) Accm: 2.49 (2.47) Acct: 3.75 (3.72) proj_loss: -0.5454 (-0.5425) time: 0.4836 data: 0.0003
[11-23 05:13:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:07:08 tlr: 0.00022 tnm: 0.31 Lm: 6.906 (6.819) Lt: 6.231 (6.127) Accm: 2.35 (2.40) Acct: 3.60 (3.72) proj_loss: -0.5420 (-0.5419) time: 0.4836 data: 0.0003
[11-23 05:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:03:31 tlr: 0.00022 tnm: 0.33 Lm: 6.868 (6.822) Lt: 6.205 (6.140) Accm: 2.35 (2.39) Acct: 3.52 (3.64) proj_loss: -0.5425 (-0.5503) time: 0.4866 data: 0.0003
[11-23 05:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:03:31 tlr: 0.00022 tnm: 0.33 Lm: 6.803 (6.810) Lt: 6.110 (6.123) Accm: 2.44 (2.45) Acct: 3.62 (3.66) proj_loss: -0.5409 (-0.5409) time: 0.4866 data: 0.0003
[11-23 05:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:03:31 tlr: 0.00022 tnm: 0.33 Lm: 6.839 (6.856) Lt: 6.143 (6.162) Accm: 2.48 (2.48) Acct: 3.91 (3.87) proj_loss: -0.5378 (-0.5392) time: 0.4866 data: 0.0003
[11-23 05:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:03:31 tlr: 0.00022 tnm: 0.33 Lm: 6.660 (6.671) Lt: 5.934 (5.969) Accm: 2.81 (2.83) Acct: 4.36 (4.36) proj_loss: -0.5454 (-0.5430) time: 0.4866 data: 0.0003
[11-23 05:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.662 (6.696) Lt: 5.944 (6.006) Accm: 2.71 (2.74) Acct: 4.20 (4.25) proj_loss: -0.5513 (-0.5455) time: 0.4910 data: 0.0015
[11-23 05:19:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:13:57 (0.502 s / it)
[11-23 05:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.842 (6.826) Lt: 6.179 (6.137) Accm: 2.35 (2.46) Acct: 3.60 (3.84) proj_loss: -0.5420 (-0.5469) time: 0.4910 data: 0.0015
[11-23 05:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.805 (6.826) Lt: 6.124 (6.132) Accm: 2.52 (2.54) Acct: 4.05 (3.94) proj_loss: -0.5421 (-0.5404) time: 0.4910 data: 0.0018
[11-23 05:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.785 (6.803) Lt: 6.091 (6.107) Accm: 2.49 (2.49) Acct: 3.75 (3.77) proj_loss: -0.5454 (-0.5425) time: 0.4910 data: 0.0015
[11-23 05:19:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:13:57 (0.502 s / it)
[11-23 05:19:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:13:57 (0.502 s / it)
[11-23 05:19:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:13:57 (0.502 s / it)
[11-23 05:19:58] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.795 (6.795), Lt: 6.095 (6.097), Acc m&t: 2.63 4.14, Remain: 2 days, 19:23:57, Finish: 2024-11-25 08:43
[11-23 05:19:58] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.795 (6.795), Lt: 6.095 (6.097), Acc m&t: 2.63 4.14, Remain: 2 days, 19:29:24, Finish: 2024-11-25 08:49
[11-23 05:19:58] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.795 (6.795), Lt: 6.095 (6.097), Acc m&t: 2.63 4.14, Remain: 2 days, 19:27:35, Finish: 2024-11-25 08:47
[11-23 05:19:58] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.795 (6.795), Lt: 6.095 (6.097), Acc m&t: 2.63 4.14, Remain: 2 days, 19:25:03, Finish: 2024-11-25 08:45
[11-23 05:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:13:05 tlr: 0.00022 tnm: 0.33 Lm: 6.731 (6.731) Lt: 6.021 (6.021) Accm: 2.83 (2.83) Acct: 4.34 (4.34) proj_loss: -0.5291 (-0.5291) time: 0.4704 data: 0.0004
[11-23 05:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:13:05 tlr: 0.00022 tnm: 0.33 Lm: 6.675 (6.675) Lt: 5.900 (5.900) Accm: 3.20 (3.20) Acct: 4.99 (4.99) proj_loss: -0.5321 (-0.5321) time: 0.4706 data: 0.0003
[11-23 05:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:13:05 tlr: 0.00022 tnm: 0.33 Lm: 6.921 (6.921) Lt: 6.258 (6.258) Accm: 2.30 (2.30) Acct: 3.86 (3.86) proj_loss: -0.5453 (-0.5453) time: 0.4708 data: 0.0004
[11-23 05:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:13:05 tlr: 0.00022 tnm: 0.33 Lm: 6.831 (6.831) Lt: 6.114 (6.114) Accm: 2.51 (2.51) Acct: 4.25 (4.25) proj_loss: -0.5502 (-0.5502) time: 0.4707 data: 0.0003
[11-23 05:23:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:10:13 tlr: 0.00022 tnm: 0.29 Lm: 6.830 (6.830) Lt: 6.141 (6.141) Accm: 2.47 (2.47) Acct: 3.89 (3.89) proj_loss: -0.5453 (-0.5453) time: 0.4883 data: 0.0003
[11-23 05:23:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:10:13 tlr: 0.00022 tnm: 0.29 Lm: 6.781 (6.781) Lt: 6.036 (6.036) Accm: 2.87 (2.87) Acct: 4.41 (4.41) proj_loss: -0.5375 (-0.5375) time: 0.4883 data: 0.0003
[11-23 05:23:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:10:13 tlr: 0.00022 tnm: 0.29 Lm: 6.823 (6.823) Lt: 6.091 (6.091) Accm: 2.51 (2.51) Acct: 4.15 (4.15) proj_loss: -0.5287 (-0.5287) time: 0.4883 data: 0.0003
[11-23 05:23:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:10:13 tlr: 0.00022 tnm: 0.29 Lm: 6.792 (6.792) Lt: 6.087 (6.087) Accm: 2.63 (2.63) Acct: 4.12 (4.12) proj_loss: -0.5297 (-0.5297) time: 0.4883 data: 0.0003
[11-23 05:26:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:06:51 tlr: 0.00022 tnm: 0.31 Lm: 6.803 (6.796) Lt: 6.104 (6.092) Accm: 2.78 (2.68) Acct: 4.34 (4.22) proj_loss: -0.5291 (-0.5259) time: 0.5386 data: 0.0002
[11-23 05:26:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:06:51 tlr: 0.00022 tnm: 0.31 Lm: 6.675 (6.734) Lt: 5.900 (5.979) Accm: 3.18 (2.98) Acct: 4.99 (4.64) proj_loss: -0.5414 (-0.5388) time: 0.5386 data: 0.0002
[11-23 05:26:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:06:51 tlr: 0.00022 tnm: 0.31 Lm: 6.830 (6.825) Lt: 6.122 (6.102) Accm: 2.65 (2.56) Acct: 4.15 (4.15) proj_loss: -0.5271 (-0.5282) time: 0.5386 data: 0.0003
[11-23 05:26:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:06:51 tlr: 0.00022 tnm: 0.31 Lm: 6.829 (6.778) Lt: 6.114 (6.073) Accm: 2.51 (2.61) Acct: 4.25 (4.17) proj_loss: -0.5415 (-0.5440) time: 0.5386 data: 0.0003
[11-23 05:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.29 Lm: 6.830 (6.797) Lt: 6.138 (6.096) Accm: 2.51 (2.59) Acct: 4.20 (4.17) proj_loss: -0.5459 (-0.5465) time: 0.5929 data: 0.0003
[11-23 05:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.29 Lm: 6.769 (6.766) Lt: 6.036 (6.034) Accm: 2.88 (2.88) Acct: 4.49 (4.48) proj_loss: -0.5405 (-0.5390) time: 0.5928 data: 0.0003
[11-23 05:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.29 Lm: 6.822 (6.822) Lt: 6.082 (6.086) Accm: 2.69 (2.64) Acct: 4.30 (4.34) proj_loss: -0.5272 (-0.5280) time: 0.5929 data: 0.0003
[11-23 05:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:03:29 tlr: 0.00022 tnm: 0.29 Lm: 6.828 (6.814) Lt: 6.128 (6.108) Accm: 2.60 (2.61) Acct: 4.12 (4.10) proj_loss: -0.5297 (-0.5326) time: 0.5929 data: 0.0002
[11-23 05:33:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.803 (6.800) Lt: 6.104 (6.085) Accm: 2.78 (2.64) Acct: 4.34 (4.21) proj_loss: -0.5303 (-0.5350) time: 0.4934 data: 0.0015
[11-23 05:33:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:13:56 (0.501 s / it)
[11-23 05:33:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.805 (6.774) Lt: 6.131 (6.053) Accm: 2.61 (2.82) Acct: 4.20 (4.42) proj_loss: -0.5395 (-0.5363) time: 0.4934 data: 0.0015
[11-23 05:33:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.813 (6.806) Lt: 6.051 (6.079) Accm: 2.72 (2.66) Acct: 4.39 (4.35) proj_loss: -0.5274 (-0.5315) time: 0.4934 data: 0.0018
[11-23 05:33:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.29 Lm: 6.829 (6.792) Lt: 6.122 (6.101) Accm: 2.51 (2.56) Acct: 4.15 (4.05) proj_loss: -0.5502 (-0.5476) time: 0.4935 data: 0.0015
[11-23 05:33:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:13:56 (0.501 s / it)
[11-23 05:33:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:13:56 (0.501 s / it)
[11-23 05:33:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:13:56 (0.501 s / it)
[11-23 05:33:55] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.784 (6.784), Lt: 6.076 (6.076), Acc m&t: 2.66 4.19, Remain: 2 days, 19:21:06, Finish: 2024-11-25 08:55
[11-23 05:33:55] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.784 (6.784), Lt: 6.076 (6.076), Acc m&t: 2.66 4.19, Remain: 2 days, 19:21:14, Finish: 2024-11-25 08:55
[11-23 05:33:55] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.784 (6.784), Lt: 6.076 (6.076), Acc m&t: 2.66 4.19, Remain: 2 days, 19:21:23, Finish: 2024-11-25 08:55
[11-23 05:33:55] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.784 (6.784), Lt: 6.076 (6.076), Acc m&t: 2.66 4.19, Remain: 2 days, 19:22:08, Finish: 2024-11-25 08:56
[11-23 05:33:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:12:53 tlr: 0.00022 tnm: 0.34 Lm: 6.779 (6.779) Lt: 6.091 (6.091) Accm: 2.52 (2.52) Acct: 3.99 (3.99) proj_loss: -0.5449 (-0.5449) time: 0.4635 data: 0.0004
[11-23 05:33:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:12:51 tlr: 0.00022 tnm: 0.34 Lm: 6.866 (6.866) Lt: 6.203 (6.203) Accm: 2.27 (2.27) Acct: 3.25 (3.25) proj_loss: -0.5408 (-0.5408) time: 0.4625 data: 0.0003
[11-23 05:33:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:12:52 tlr: 0.00022 tnm: 0.34 Lm: 6.899 (6.899) Lt: 6.222 (6.222) Accm: 2.60 (2.60) Acct: 4.32 (4.32) proj_loss: -0.5374 (-0.5374) time: 0.4627 data: 0.0003
[11-23 05:33:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:12:54 tlr: 0.00022 tnm: 0.34 Lm: 6.840 (6.840) Lt: 6.136 (6.136) Accm: 2.46 (2.46) Acct: 3.70 (3.70) proj_loss: -0.5423 (-0.5423) time: 0.4642 data: 0.0004
[11-23 05:37:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.28 Lm: 6.708 (6.708) Lt: 5.998 (5.998) Accm: 2.74 (2.74) Acct: 4.19 (4.19) proj_loss: -0.5430 (-0.5430) time: 0.4871 data: 0.0003
[11-23 05:37:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.28 Lm: 6.839 (6.839) Lt: 6.132 (6.132) Accm: 2.45 (2.45) Acct: 3.85 (3.85) proj_loss: -0.5549 (-0.5549) time: 0.4871 data: 0.0003
[11-23 05:37:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.28 Lm: 6.897 (6.897) Lt: 6.244 (6.244) Accm: 2.51 (2.51) Acct: 3.94 (3.94) proj_loss: -0.5378 (-0.5378) time: 0.4870 data: 0.0002
[11-23 05:37:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:10:10 tlr: 0.00022 tnm: 0.28 Lm: 6.876 (6.876) Lt: 6.205 (6.205) Accm: 2.25 (2.25) Acct: 3.25 (3.25) proj_loss: -0.5480 (-0.5480) time: 0.4871 data: 0.0003
[11-23 05:40:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:06:49 tlr: 0.00021 tnm: 0.29 Lm: 6.866 (6.792) Lt: 6.203 (6.095) Accm: 2.27 (2.67) Acct: 3.25 (4.05) proj_loss: -0.5481 (-0.5480) time: 0.4896 data: 0.0003
[11-23 05:40:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:06:49 tlr: 0.00021 tnm: 0.29 Lm: 6.895 (6.873) Lt: 6.222 (6.220) Accm: 2.49 (2.51) Acct: 3.79 (3.89) proj_loss: -0.5383 (-0.5391) time: 0.4896 data: 0.0002
[11-23 05:40:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:06:49 tlr: 0.00021 tnm: 0.29 Lm: 6.787 (6.734) Lt: 6.136 (6.053) Accm: 2.75 (2.75) Acct: 4.08 (4.16) proj_loss: -0.5437 (-0.5432) time: 0.4896 data: 0.0003
[11-23 05:40:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:06:49 tlr: 0.00021 tnm: 0.29 Lm: 6.779 (6.792) Lt: 6.091 (6.074) Accm: 2.52 (2.61) Acct: 3.99 (4.13) proj_loss: -0.5636 (-0.5578) time: 0.4896 data: 0.0002
[11-23 05:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.29 Lm: 6.828 (6.813) Lt: 6.129 (6.097) Accm: 2.51 (2.59) Acct: 3.97 (4.08) proj_loss: -0.5542 (-0.5545) time: 0.4848 data: 0.0002
[11-23 05:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.29 Lm: 6.860 (6.833) Lt: 6.197 (6.155) Accm: 2.55 (2.61) Acct: 4.05 (4.13) proj_loss: -0.5399 (-0.5408) time: 0.4848 data: 0.0003
[11-23 05:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.29 Lm: 6.807 (6.780) Lt: 6.109 (6.075) Accm: 2.52 (2.70) Acct: 3.90 (4.17) proj_loss: -0.5484 (-0.5482) time: 0.4848 data: 0.0003
[11-23 05:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.29 Lm: 6.681 (6.689) Lt: 5.998 (5.999) Accm: 2.82 (2.78) Acct: 4.20 (4.20) proj_loss: -0.5437 (-0.5435) time: 0.4848 data: 0.0003
[11-23 05:47:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.787 (6.730) Lt: 6.136 (6.040) Accm: 2.75 (2.69) Acct: 4.08 (4.07) proj_loss: -0.5437 (-0.5423) time: 0.5909 data: 0.0021
[11-23 05:47:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:13:44 (0.494 s / it)
[11-23 05:47:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.806 (6.812) Lt: 6.134 (6.105) Accm: 2.51 (2.53) Acct: 3.94 (3.96) proj_loss: -0.5537 (-0.5543) time: 0.5909 data: 0.0014
[11-23 05:47:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.825 (6.822) Lt: 6.172 (6.144) Accm: 2.60 (2.63) Acct: 4.17 (4.14) proj_loss: -0.5383 (-0.5401) time: 0.5909 data: 0.0015
[11-23 05:47:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.766 (6.777) Lt: 6.021 (6.064) Accm: 2.56 (2.67) Acct: 4.24 (4.18) proj_loss: -0.5481 (-0.5441) time: 0.5909 data: 0.0016
[11-23 05:47:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:13:44 (0.494 s / it)
[11-23 05:47:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:13:44 (0.494 s / it)
[11-23 05:47:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:13:44 (0.494 s / it)
[11-23 05:47:40] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.782 (6.782), Lt: 6.076 (6.082), Acc m&t: 2.66 4.19, Remain: 2 days, 18:52:19, Finish: 2024-11-25 08:39
[11-23 05:47:40] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.782 (6.782), Lt: 6.076 (6.082), Acc m&t: 2.66 4.19, Remain: 2 days, 18:54:45, Finish: 2024-11-25 08:42
[11-23 05:47:40] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.782 (6.782), Lt: 6.076 (6.082), Acc m&t: 2.66 4.19, Remain: 2 days, 18:52:58, Finish: 2024-11-25 08:40
[11-23 05:47:40] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.782 (6.782), Lt: 6.076 (6.082), Acc m&t: 2.66 4.19, Remain: 2 days, 18:53:08, Finish: 2024-11-25 08:40
[11-23 05:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:12:48 tlr: 0.00021 tnm: 0.30 Lm: 6.706 (6.706) Lt: 5.980 (5.980) Accm: 3.13 (3.13) Acct: 4.96 (4.96) proj_loss: -0.5399 (-0.5399) time: 0.4605 data: 0.0003
[11-23 05:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:12:56 tlr: 0.00021 tnm: 0.30 Lm: 6.770 (6.770) Lt: 5.997 (5.997) Accm: 3.01 (3.01) Acct: 4.87 (4.87) proj_loss: -0.5303 (-0.5303) time: 0.4655 data: 0.0003
[11-23 05:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:12:52 tlr: 0.00021 tnm: 0.30 Lm: 6.855 (6.855) Lt: 6.225 (6.225) Accm: 2.46 (2.46) Acct: 3.62 (3.62) proj_loss: -0.5433 (-0.5433) time: 0.4631 data: 0.0004
[11-23 05:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:12:56 tlr: 0.00021 tnm: 0.30 Lm: 6.807 (6.807) Lt: 6.100 (6.100) Accm: 2.76 (2.76) Acct: 4.41 (4.41) proj_loss: -0.5507 (-0.5507) time: 0.4651 data: 0.0003
[11-23 05:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:10:51 tlr: 0.00021 tnm: 0.29 Lm: 6.679 (6.679) Lt: 5.945 (5.945) Accm: 3.12 (3.12) Acct: 5.01 (5.01) proj_loss: -0.5519 (-0.5519) time: 0.5361 data: 0.0002
[11-23 05:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:10:51 tlr: 0.00021 tnm: 0.29 Lm: 6.782 (6.782) Lt: 6.043 (6.043) Accm: 2.90 (2.90) Acct: 4.60 (4.60) proj_loss: -0.5414 (-0.5414) time: 0.5361 data: 0.0003
[11-23 05:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:10:51 tlr: 0.00021 tnm: 0.29 Lm: 6.735 (6.735) Lt: 6.063 (6.063) Accm: 2.83 (2.83) Acct: 4.24 (4.24) proj_loss: -0.5528 (-0.5528) time: 0.5361 data: 0.0003
[11-23 05:51:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:10:51 tlr: 0.00021 tnm: 0.29 Lm: 6.752 (6.752) Lt: 6.041 (6.041) Accm: 2.91 (2.91) Acct: 4.69 (4.69) proj_loss: -0.5434 (-0.5434) time: 0.5361 data: 0.0003
[11-23 05:54:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:07:04 tlr: 0.00021 tnm: 0.28 Lm: 6.798 (6.770) Lt: 6.102 (6.072) Accm: 2.70 (2.79) Acct: 4.42 (4.44) proj_loss: -0.5468 (-0.5466) time: 0.4905 data: 0.0003
[11-23 05:54:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:07:04 tlr: 0.00021 tnm: 0.28 Lm: 6.770 (6.777) Lt: 6.066 (6.051) Accm: 2.80 (2.80) Acct: 4.32 (4.36) proj_loss: -0.5488 (-0.5439) time: 0.4905 data: 0.0003
[11-23 05:54:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:07:04 tlr: 0.00021 tnm: 0.28 Lm: 6.717 (6.692) Lt: 5.988 (5.959) Accm: 2.92 (3.05) Acct: 4.67 (4.90) proj_loss: -0.5507 (-0.5462) time: 0.4905 data: 0.0003
[11-23 05:54:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:07:04 tlr: 0.00021 tnm: 0.28 Lm: 6.773 (6.748) Lt: 6.051 (6.059) Accm: 2.50 (2.72) Acct: 3.94 (4.14) proj_loss: -0.5433 (-0.5492) time: 0.4905 data: 0.0003
[11-23 05:58:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:03:29 tlr: 0.00021 tnm: 0.29 Lm: 6.764 (6.750) Lt: 6.036 (6.049) Accm: 2.62 (2.72) Acct: 4.15 (4.20) proj_loss: -0.5426 (-0.5421) time: 0.4857 data: 0.0003
[11-23 05:58:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:03:29 tlr: 0.00021 tnm: 0.29 Lm: 6.782 (6.794) Lt: 6.078 (6.078) Accm: 2.70 (2.73) Acct: 4.11 (4.24) proj_loss: -0.5469 (-0.5441) time: 0.4857 data: 0.0003
[11-23 05:58:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:03:29 tlr: 0.00021 tnm: 0.29 Lm: 6.762 (6.728) Lt: 6.044 (6.003) Accm: 2.84 (2.89) Acct: 4.54 (4.57) proj_loss: -0.5498 (-0.5468) time: 0.4857 data: 0.0003
[11-23 05:58:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:03:29 tlr: 0.00021 tnm: 0.29 Lm: 6.752 (6.751) Lt: 6.041 (6.039) Accm: 2.79 (2.81) Acct: 4.55 (4.50) proj_loss: -0.5434 (-0.5444) time: 0.4857 data: 0.0003
[11-23 06:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.798 (6.771) Lt: 6.102 (6.064) Accm: 2.70 (2.71) Acct: 4.42 (4.31) proj_loss: -0.5468 (-0.5468) time: 0.5477 data: 0.0015
[11-23 06:01:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:13:54 (0.500 s / it)
[11-23 06:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.773 (6.767) Lt: 6.051 (6.070) Accm: 2.61 (2.70) Acct: 3.94 (4.12) proj_loss: -0.5419 (-0.5420) time: 0.5477 data: 0.0015
[11-23 06:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.717 (6.705) Lt: 5.988 (5.984) Accm: 2.92 (2.92) Acct: 4.67 (4.64) proj_loss: -0.5488 (-0.5466) time: 0.5478 data: 0.0015
[11-23 06:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.794 (6.818) Lt: 6.090 (6.118) Accm: 2.60 (2.64) Acct: 3.89 (4.08) proj_loss: -0.5488 (-0.5481) time: 0.5478 data: 0.0020
[11-23 06:01:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:13:54 (0.500 s / it)
[11-23 06:01:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:13:54 (0.500 s / it)
[11-23 06:01:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:13:54 (0.500 s / it)
[11-23 06:03:46] (home/user/VAR/trainer.py, line 114)=> FID: 5.413645936250418
[11-23 06:03:47] (/home/user/VAR/train.py , line 259)=> [*] [ep59] (val 50000) Lm: 6.7851, Lt: 6.0844, Acc m&t: 2.65 4.17, Val cost: 131.65s
[11-23 06:03:47] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-23 06:03:59] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.782 (6.785), Lt: 6.076 (6.084), Acc m&t: 2.66 4.19, Remain: 2 days, 19:08:52, Finish: 2024-11-25 09:10
[11-23 06:03:59] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.782 (6.785), Lt: 6.076 (6.084), Acc m&t: 2.66 4.19, Remain: 2 days, 19:09:11, Finish: 2024-11-25 09:10
[11-23 06:03:59] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.782 (6.785), Lt: 6.076 (6.084), Acc m&t: 2.66 4.19, Remain: 2 days, 19:08:47, Finish: 2024-11-25 09:10
[11-23 06:03:59] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.782 (6.785), Lt: 6.076 (6.084), Acc m&t: 2.66 4.19, Remain: 2 days, 19:09:02, Finish: 2024-11-25 09:10
[11-23 06:03:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:13:32 tlr: 0.00021 tnm: 0.31 Lm: 6.901 (6.901) Lt: 6.205 (6.205) Accm: 2.29 (2.29) Acct: 3.65 (3.65) proj_loss: -0.5437 (-0.5437) time: 0.4865 data: 0.0004
[11-23 06:03:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:13:32 tlr: 0.00021 tnm: 0.31 Lm: 6.929 (6.929) Lt: 6.297 (6.297) Accm: 2.37 (2.37) Acct: 3.77 (3.77) proj_loss: -0.5554 (-0.5554) time: 0.4867 data: 0.0004
[11-23 06:03:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:13:34 tlr: 0.00021 tnm: 0.31 Lm: 6.743 (6.743) Lt: 6.047 (6.047) Accm: 2.86 (2.86) Acct: 4.46 (4.46) proj_loss: -0.5349 (-0.5349) time: 0.4882 data: 0.0003
[11-23 06:03:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:13:31 tlr: 0.00021 tnm: 0.31 Lm: 6.832 (6.832) Lt: 6.112 (6.112) Accm: 2.57 (2.57) Acct: 4.13 (4.13) proj_loss: -0.5300 (-0.5300) time: 0.4861 data: 0.0004
[11-23 06:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.31 Lm: 6.782 (6.782) Lt: 6.051 (6.051) Accm: 2.74 (2.74) Acct: 4.42 (4.42) proj_loss: -0.5269 (-0.5269) time: 0.4890 data: 0.0003
[11-23 06:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.31 Lm: 6.853 (6.853) Lt: 6.155 (6.155) Accm: 2.63 (2.63) Acct: 4.10 (4.10) proj_loss: -0.5479 (-0.5479) time: 0.4890 data: 0.0003
[11-23 06:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.31 Lm: 6.826 (6.826) Lt: 6.130 (6.130) Accm: 2.66 (2.66) Acct: 4.25 (4.25) proj_loss: -0.5342 (-0.5342) time: 0.4890 data: 0.0003
[11-23 06:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.31 Lm: 6.857 (6.857) Lt: 6.176 (6.176) Accm: 2.32 (2.32) Acct: 3.66 (3.66) proj_loss: -0.5429 (-0.5429) time: 0.4890 data: 0.0003
[11-23 06:10:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:06:55 tlr: 0.00021 tnm: 0.33 Lm: 6.814 (6.836) Lt: 6.147 (6.137) Accm: 2.35 (2.46) Acct: 3.67 (3.97) proj_loss: -0.5421 (-0.5401) time: 0.5366 data: 0.0003
[11-23 06:10:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:06:55 tlr: 0.00021 tnm: 0.33 Lm: 6.908 (6.860) Lt: 6.213 (6.176) Accm: 2.45 (2.55) Acct: 4.05 (4.07) proj_loss: -0.5349 (-0.5445) time: 0.5366 data: 0.0002
[11-23 06:10:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:06:55 tlr: 0.00021 tnm: 0.33 Lm: 6.777 (6.827) Lt: 6.113 (6.141) Accm: 2.70 (2.65) Acct: 3.77 (3.95) proj_loss: -0.5554 (-0.5516) time: 0.5366 data: 0.0003
[11-23 06:10:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:06:55 tlr: 0.00021 tnm: 0.33 Lm: 6.785 (6.783) Lt: 6.019 (6.040) Accm: 2.69 (2.72) Acct: 4.37 (4.40) proj_loss: -0.5281 (-0.5273) time: 0.5366 data: 0.0003
[11-23 06:14:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.33 Lm: 6.809 (6.828) Lt: 6.065 (6.100) Accm: 2.63 (2.55) Acct: 4.25 (4.15) proj_loss: -0.5291 (-0.5335) time: 0.4871 data: 0.0003
[11-23 06:14:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.33 Lm: 6.776 (6.806) Lt: 6.063 (6.108) Accm: 2.76 (2.70) Acct: 4.10 (4.08) proj_loss: -0.5511 (-0.5504) time: 0.4870 data: 0.0003
[11-23 06:14:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.33 Lm: 6.833 (6.841) Lt: 6.155 (6.144) Accm: 2.44 (2.48) Acct: 3.87 (3.99) proj_loss: -0.5429 (-0.5434) time: 0.4871 data: 0.0003
[11-23 06:14:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.33 Lm: 6.826 (6.822) Lt: 6.130 (6.138) Accm: 2.61 (2.61) Acct: 4.09 (4.09) proj_loss: -0.5425 (-0.5459) time: 0.4870 data: 0.0003
[11-23 06:17:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.743 (6.799) Lt: 6.047 (6.110) Accm: 2.71 (2.63) Acct: 4.13 (4.15) proj_loss: -0.5409 (-0.5449) time: 0.4932 data: 0.0017
[11-23 06:17:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:13:59 (0.503 s / it)
[11-23 06:17:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.785 (6.809) Lt: 6.019 (6.078) Accm: 2.69 (2.60) Acct: 4.34 (4.19) proj_loss: -0.5300 (-0.5359) time: 0.4932 data: 0.0015
[11-23 06:17:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.814 (6.831) Lt: 6.147 (6.130) Accm: 2.53 (2.52) Acct: 4.06 (4.06) proj_loss: -0.5437 (-0.5479) time: 0.4932 data: 0.0020
[11-23 06:17:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.777 (6.800) Lt: 6.053 (6.097) Accm: 2.70 (2.67) Acct: 4.06 (4.07) proj_loss: -0.5467 (-0.5449) time: 0.4932 data: 0.0017
[11-23 06:17:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:13:59 (0.503 s / it)
[11-23 06:17:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:13:59 (0.503 s / it)
[11-23 06:17:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:13:59 (0.503 s / it)
[11-23 06:17:58] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.782 (6.794), Lt: 6.076 (6.087), Acc m&t: 2.66 4.19, Remain: 2 days, 18:29:38, Finish: 2024-11-25 08:47
[11-23 06:17:58] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.782 (6.794), Lt: 6.076 (6.087), Acc m&t: 2.66 4.19, Remain: 2 days, 18:29:51, Finish: 2024-11-25 08:47
[11-23 06:17:58] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.782 (6.794), Lt: 6.076 (6.087), Acc m&t: 2.66 4.19, Remain: 2 days, 18:29:14, Finish: 2024-11-25 08:47
[11-23 06:17:58] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.782 (6.794), Lt: 6.076 (6.087), Acc m&t: 2.66 4.19, Remain: 2 days, 18:29:50, Finish: 2024-11-25 08:47
[11-23 06:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:12:47 tlr: 0.00021 tnm: 0.29 Lm: 6.748 (6.748) Lt: 5.962 (5.962) Accm: 2.41 (2.41) Acct: 3.87 (3.87) proj_loss: -0.5256 (-0.5256) time: 0.4597 data: 0.0003
[11-23 06:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:12:41 tlr: 0.00021 tnm: 0.29 Lm: 6.725 (6.725) Lt: 6.012 (6.012) Accm: 2.94 (2.94) Acct: 4.68 (4.68) proj_loss: -0.5505 (-0.5505) time: 0.4563 data: 0.0003
[11-23 06:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:13:06 tlr: 0.00021 tnm: 0.29 Lm: 6.698 (6.698) Lt: 5.981 (5.981) Accm: 2.85 (2.85) Acct: 4.53 (4.53) proj_loss: -0.5468 (-0.5468) time: 0.4715 data: 0.0004
[11-23 06:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:12:48 tlr: 0.00021 tnm: 0.29 Lm: 6.958 (6.958) Lt: 6.287 (6.287) Accm: 2.02 (2.02) Acct: 2.89 (2.89) proj_loss: -0.5556 (-0.5556) time: 0.4604 data: 0.0003
[11-23 06:21:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.30 Lm: 6.871 (6.871) Lt: 6.162 (6.162) Accm: 2.26 (2.26) Acct: 3.62 (3.62) proj_loss: -0.5455 (-0.5455) time: 0.4895 data: 0.0002
[11-23 06:21:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.30 Lm: 6.655 (6.655) Lt: 5.922 (5.922) Accm: 3.09 (3.09) Acct: 4.85 (4.85) proj_loss: -0.5392 (-0.5392) time: 0.4895 data: 0.0002
[11-23 06:21:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.30 Lm: 6.770 (6.770) Lt: 6.025 (6.025) Accm: 2.56 (2.56) Acct: 4.08 (4.08) proj_loss: -0.5425 (-0.5425) time: 0.4895 data: 0.0003
[11-23 06:21:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.30 Lm: 6.747 (6.747) Lt: 6.020 (6.020) Accm: 2.84 (2.84) Acct: 4.46 (4.46) proj_loss: -0.5345 (-0.5345) time: 0.4895 data: 0.0003
[11-23 06:24:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.32 Lm: 6.728 (6.740) Lt: 6.020 (6.020) Accm: 2.83 (2.80) Acct: 4.39 (4.38) proj_loss: -0.5468 (-0.5436) time: 0.4899 data: 0.0003
[11-23 06:24:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.32 Lm: 6.878 (6.873) Lt: 6.223 (6.182) Accm: 2.43 (2.32) Acct: 3.94 (3.72) proj_loss: -0.5505 (-0.5472) time: 0.4900 data: 0.0003
[11-23 06:24:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.32 Lm: 6.748 (6.761) Lt: 5.975 (6.008) Accm: 2.70 (2.67) Acct: 4.29 (4.34) proj_loss: -0.5566 (-0.5472) time: 0.4899 data: 0.0003
[11-23 06:24:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.32 Lm: 6.725 (6.688) Lt: 6.012 (5.955) Accm: 2.94 (3.00) Acct: 4.68 (4.67) proj_loss: -0.5362 (-0.5382) time: 0.4899 data: 0.0003
[11-23 06:28:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.30 Lm: 6.739 (6.705) Lt: 6.017 (5.975) Accm: 2.97 (3.00) Acct: 4.60 (4.63) proj_loss: -0.5433 (-0.5421) time: 0.4885 data: 0.0003
[11-23 06:28:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.30 Lm: 6.753 (6.750) Lt: 6.039 (6.047) Accm: 2.80 (2.79) Acct: 4.38 (4.38) proj_loss: -0.5479 (-0.5450) time: 0.4885 data: 0.0003
[11-23 06:28:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.30 Lm: 6.868 (6.870) Lt: 6.191 (6.176) Accm: 2.44 (2.35) Acct: 3.93 (3.77) proj_loss: -0.5501 (-0.5478) time: 0.4885 data: 0.0003
[11-23 06:28:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.30 Lm: 6.746 (6.748) Lt: 5.999 (6.012) Accm: 2.77 (2.71) Acct: 4.36 (4.36) proj_loss: -0.5563 (-0.5494) time: 0.4885 data: 0.0003
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.743 (6.740) Lt: 5.986 (6.007) Accm: 2.80 (2.73) Acct: 4.39 (4.37) proj_loss: -0.5559 (-0.5479) time: 0.4883 data: 0.0022
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:13:52 (0.499 s / it)
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.748 (6.750) Lt: 6.058 (6.050) Accm: 2.77 (2.77) Acct: 4.37 (4.36) proj_loss: -0.5490 (-0.5458) time: 0.4883 data: 0.0016
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.858 (6.864) Lt: 6.159 (6.172) Accm: 2.43 (2.35) Acct: 3.91 (3.73) proj_loss: -0.5497 (-0.5468) time: 0.4883 data: 0.0020
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.748 (6.714) Lt: 6.012 (5.981) Accm: 2.94 (2.95) Acct: 4.65 (4.63) proj_loss: -0.5362 (-0.5391) time: 0.4883 data: 0.0019
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:13:52 (0.499 s / it)
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:13:52 (0.499 s / it)
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:13:52 (0.499 s / it)
[11-23 06:31:51] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.775 (6.775), Lt: 6.069 (6.069), Acc m&t: 2.68 4.20, Remain: 2 days, 17:34:49, Finish: 2024-11-25 08:06
[11-23 06:31:51] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.775 (6.775), Lt: 6.069 (6.069), Acc m&t: 2.68 4.20, Remain: 2 days, 17:35:50, Finish: 2024-11-25 08:07
[11-23 06:31:51] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.775 (6.775), Lt: 6.069 (6.069), Acc m&t: 2.68 4.20, Remain: 2 days, 17:35:04, Finish: 2024-11-25 08:06
[11-23 06:31:51] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.775 (6.775), Lt: 6.069 (6.069), Acc m&t: 2.68 4.20, Remain: 2 days, 17:35:59, Finish: 2024-11-25 08:07
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:13:03 tlr: 0.00021 tnm: 0.29 Lm: 6.805 (6.805) Lt: 6.097 (6.097) Accm: 2.66 (2.66) Acct: 4.17 (4.17) proj_loss: -0.5495 (-0.5495) time: 0.4695 data: 0.0004
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:13:03 tlr: 0.00021 tnm: 0.29 Lm: 6.951 (6.951) Lt: 6.272 (6.272) Accm: 2.34 (2.34) Acct: 3.58 (3.58) proj_loss: -0.5434 (-0.5434) time: 0.4696 data: 0.0004
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:13:03 tlr: 0.00021 tnm: 0.29 Lm: 6.823 (6.823) Lt: 6.139 (6.139) Accm: 2.53 (2.53) Acct: 3.84 (3.84) proj_loss: -0.5420 (-0.5420) time: 0.4695 data: 0.0004
[11-23 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:13:04 tlr: 0.00021 tnm: 0.29 Lm: 6.717 (6.717) Lt: 6.047 (6.047) Accm: 2.51 (2.51) Acct: 3.93 (3.93) proj_loss: -0.5658 (-0.5658) time: 0.4698 data: 0.0004
[11-23 06:35:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.31 Lm: 6.766 (6.766) Lt: 6.060 (6.060) Accm: 2.43 (2.43) Acct: 4.03 (4.03) proj_loss: -0.5437 (-0.5437) time: 0.5388 data: 0.0003
[11-23 06:35:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.31 Lm: 6.917 (6.917) Lt: 6.215 (6.215) Accm: 2.46 (2.46) Acct: 3.88 (3.88) proj_loss: -0.5421 (-0.5421) time: 0.5388 data: 0.0003
[11-23 06:35:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.31 Lm: 6.821 (6.821) Lt: 6.117 (6.117) Accm: 2.48 (2.48) Acct: 3.74 (3.74) proj_loss: -0.5514 (-0.5514) time: 0.5388 data: 0.0003
[11-23 06:35:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.31 Lm: 6.690 (6.690) Lt: 5.974 (5.974) Accm: 3.08 (3.08) Acct: 4.73 (4.73) proj_loss: -0.5595 (-0.5595) time: 0.5388 data: 0.0003
[11-23 06:38:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:06:56 tlr: 0.00021 tnm: 0.32 Lm: 6.805 (6.752) Lt: 6.097 (6.041) Accm: 2.66 (2.88) Acct: 4.17 (4.51) proj_loss: -0.5501 (-0.5564) time: 0.4853 data: 0.0003
[11-23 06:38:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:06:56 tlr: 0.00021 tnm: 0.32 Lm: 6.819 (6.810) Lt: 6.094 (6.103) Accm: 2.53 (2.58) Acct: 3.84 (3.97) proj_loss: -0.5472 (-0.5500) time: 0.4853 data: 0.0003
[11-23 06:38:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:06:56 tlr: 0.00021 tnm: 0.32 Lm: 6.815 (6.800) Lt: 6.073 (6.105) Accm: 2.35 (2.39) Acct: 3.93 (3.93) proj_loss: -0.5502 (-0.5459) time: 0.4853 data: 0.0003
[11-23 06:38:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:06:56 tlr: 0.00021 tnm: 0.32 Lm: 6.884 (6.825) Lt: 6.158 (6.117) Accm: 2.59 (2.72) Acct: 4.18 (4.26) proj_loss: -0.5434 (-0.5453) time: 0.4853 data: 0.0003
[11-23 06:42:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:03:27 tlr: 0.00021 tnm: 0.29 Lm: 6.827 (6.811) Lt: 6.139 (6.117) Accm: 2.62 (2.70) Acct: 4.16 (4.23) proj_loss: -0.5475 (-0.5517) time: 0.4854 data: 0.0003
[11-23 06:42:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:03:27 tlr: 0.00021 tnm: 0.29 Lm: 6.738 (6.732) Lt: 6.002 (6.007) Accm: 2.72 (2.86) Acct: 4.32 (4.50) proj_loss: -0.5498 (-0.5490) time: 0.4854 data: 0.0002
[11-23 06:42:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:03:27 tlr: 0.00021 tnm: 0.29 Lm: 6.818 (6.812) Lt: 6.115 (6.112) Accm: 2.49 (2.55) Acct: 3.88 (3.96) proj_loss: -0.5524 (-0.5519) time: 0.4854 data: 0.0002
[11-23 06:42:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:03:27 tlr: 0.00021 tnm: 0.29 Lm: 6.809 (6.801) Lt: 6.100 (6.110) Accm: 2.33 (2.36) Acct: 3.82 (3.78) proj_loss: -0.5489 (-0.5463) time: 0.4854 data: 0.0002
[11-23 06:45:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.815 (6.805) Lt: 6.073 (6.102) Accm: 2.35 (2.37) Acct: 3.93 (3.83) proj_loss: -0.5475 (-0.5412) time: 0.4897 data: 0.0021
[11-23 06:45:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:13:45 (0.495 s / it)
[11-23 06:45:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.819 (6.827) Lt: 6.136 (6.126) Accm: 2.45 (2.46) Acct: 3.84 (3.85) proj_loss: -0.5472 (-0.5501) time: 0.4897 data: 0.0015
[11-23 06:45:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.770 (6.778) Lt: 6.120 (6.098) Accm: 2.65 (2.75) Acct: 4.18 (4.31) proj_loss: -0.5517 (-0.5582) time: 0.4897 data: 0.0016
[11-23 06:45:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.805 (6.753) Lt: 6.097 (6.035) Accm: 2.66 (2.77) Acct: 4.17 (4.36) proj_loss: -0.5495 (-0.5469) time: 0.4897 data: 0.0020
[11-23 06:45:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:13:45 (0.495 s / it)
[11-23 06:45:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:13:45 (0.495 s / it)
[11-23 06:45:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:13:45 (0.495 s / it)
[11-23 06:45:36] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.775 (6.787), Lt: 6.069 (6.079), Acc m&t: 2.68 4.20, Remain: 2 days, 17:44:06, Finish: 2024-11-25 08:29
[11-23 06:45:36] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.775 (6.787), Lt: 6.069 (6.079), Acc m&t: 2.68 4.20, Remain: 2 days, 17:46:15, Finish: 2024-11-25 08:31
[11-23 06:45:36] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.775 (6.787), Lt: 6.069 (6.079), Acc m&t: 2.68 4.20, Remain: 2 days, 17:44:16, Finish: 2024-11-25 08:29
[11-23 06:45:36] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.775 (6.787), Lt: 6.069 (6.079), Acc m&t: 2.68 4.20, Remain: 2 days, 17:46:38, Finish: 2024-11-25 08:32
[11-23 06:45:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:13:26 tlr: 0.00021 tnm: 0.28 Lm: 6.795 (6.795) Lt: 6.125 (6.125) Accm: 2.41 (2.41) Acct: 3.77 (3.77) proj_loss: -0.5711 (-0.5711) time: 0.4835 data: 0.0004
[11-23 06:45:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:13:30 tlr: 0.00021 tnm: 0.28 Lm: 6.876 (6.876) Lt: 6.166 (6.166) Accm: 2.54 (2.54) Acct: 4.12 (4.12) proj_loss: -0.5396 (-0.5396) time: 0.4854 data: 0.0004
[11-23 06:45:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:13:27 tlr: 0.00021 tnm: 0.28 Lm: 6.576 (6.576) Lt: 5.838 (5.838) Accm: 3.12 (3.12) Acct: 4.87 (4.87) proj_loss: -0.5725 (-0.5725) time: 0.4838 data: 0.0003
[11-23 06:45:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:13:32 tlr: 0.00021 tnm: 0.28 Lm: 6.718 (6.718) Lt: 5.957 (5.957) Accm: 2.87 (2.87) Acct: 4.73 (4.73) proj_loss: -0.5359 (-0.5359) time: 0.4870 data: 0.0003
[11-23 06:49:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:10:13 tlr: 0.00021 tnm: 0.30 Lm: 6.746 (6.746) Lt: 6.019 (6.019) Accm: 2.82 (2.82) Acct: 4.47 (4.47) proj_loss: -0.5354 (-0.5354) time: 0.4882 data: 0.0003
[11-23 06:49:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:10:13 tlr: 0.00021 tnm: 0.30 Lm: 6.890 (6.890) Lt: 6.152 (6.152) Accm: 2.44 (2.44) Acct: 3.90 (3.90) proj_loss: -0.5375 (-0.5375) time: 0.4882 data: 0.0003
[11-23 06:49:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:10:13 tlr: 0.00021 tnm: 0.30 Lm: 6.692 (6.692) Lt: 5.978 (5.978) Accm: 3.00 (3.00) Acct: 4.62 (4.62) proj_loss: -0.5577 (-0.5577) time: 0.4882 data: 0.0003
[11-23 06:49:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:10:13 tlr: 0.00021 tnm: 0.30 Lm: 6.694 (6.694) Lt: 6.015 (6.015) Accm: 2.85 (2.85) Acct: 4.60 (4.60) proj_loss: -0.5476 (-0.5476) time: 0.4882 data: 0.0002
[11-23 06:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:06:55 tlr: 0.00021 tnm: 0.31 Lm: 6.795 (6.730) Lt: 6.091 (6.041) Accm: 2.66 (2.79) Acct: 3.99 (4.40) proj_loss: -0.5505 (-0.5486) time: 0.5382 data: 0.0003
[11-23 06:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:06:55 tlr: 0.00021 tnm: 0.31 Lm: 6.786 (6.723) Lt: 6.110 (6.022) Accm: 2.88 (2.84) Acct: 4.37 (4.46) proj_loss: -0.5428 (-0.5508) time: 0.5382 data: 0.0003
[11-23 06:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:06:55 tlr: 0.00021 tnm: 0.31 Lm: 6.876 (6.847) Lt: 6.137 (6.110) Accm: 2.54 (2.50) Acct: 3.87 (3.89) proj_loss: -0.5354 (-0.5355) time: 0.5382 data: 0.0003
[11-23 06:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:06:55 tlr: 0.00021 tnm: 0.31 Lm: 6.773 (6.783) Lt: 6.081 (6.064) Accm: 2.76 (2.60) Acct: 4.20 (4.10) proj_loss: -0.5349 (-0.5350) time: 0.5382 data: 0.0003
[11-23 06:56:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.31 Lm: 6.786 (6.787) Lt: 6.097 (6.076) Accm: 2.63 (2.58) Acct: 4.04 (4.04) proj_loss: -0.5354 (-0.5376) time: 0.4889 data: 0.0002
[11-23 06:56:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.31 Lm: 6.819 (6.822) Lt: 6.093 (6.095) Accm: 2.52 (2.50) Acct: 3.99 (3.96) proj_loss: -0.5375 (-0.5445) time: 0.4889 data: 0.0003
[11-23 06:56:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.31 Lm: 6.797 (6.764) Lt: 6.114 (6.067) Accm: 2.70 (2.72) Acct: 4.25 (4.23) proj_loss: -0.5448 (-0.5498) time: 0.4889 data: 0.0003
[11-23 06:56:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.31 Lm: 6.757 (6.727) Lt: 6.053 (6.034) Accm: 2.78 (2.81) Acct: 4.21 (4.40) proj_loss: -0.5464 (-0.5470) time: 0.4889 data: 0.0002
[11-23 06:59:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.795 (6.771) Lt: 6.091 (6.085) Accm: 2.66 (2.70) Acct: 3.99 (4.23) proj_loss: -0.5505 (-0.5497) time: 0.4880 data: 0.0021
[11-23 06:59:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:13:58 (0.503 s / it)
[11-23 06:59:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.791 (6.788) Lt: 6.094 (6.080) Accm: 2.61 (2.58) Acct: 4.08 (4.05) proj_loss: -0.5359 (-0.5435) time: 0.4880 data: 0.0019
[11-23 06:59:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.762 (6.799) Lt: 6.049 (6.071) Accm: 2.54 (2.56) Acct: 4.12 (4.05) proj_loss: -0.5396 (-0.5477) time: 0.4880 data: 0.0016
[11-23 06:59:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.786 (6.760) Lt: 6.110 (6.062) Accm: 2.80 (2.73) Acct: 4.37 (4.26) proj_loss: -0.5428 (-0.5477) time: 0.4880 data: 0.0017
[11-23 06:59:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:13:58 (0.503 s / it)
[11-23 06:59:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:13:58 (0.503 s / it)
[11-23 06:59:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:13:58 (0.503 s / it)
[11-23 06:59:35] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.775 (6.781), Lt: 6.069 (6.075), Acc m&t: 2.68 4.20, Remain: 2 days, 17:39:16, Finish: 2024-11-25 08:38
[11-23 06:59:35] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.775 (6.781), Lt: 6.069 (6.075), Acc m&t: 2.68 4.20, Remain: 2 days, 17:38:46, Finish: 2024-11-25 08:38
[11-23 06:59:35] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.775 (6.781), Lt: 6.069 (6.075), Acc m&t: 2.68 4.20, Remain: 2 days, 17:36:20, Finish: 2024-11-25 08:35
[11-23 06:59:35] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.775 (6.781), Lt: 6.069 (6.075), Acc m&t: 2.68 4.20, Remain: 2 days, 17:40:20, Finish: 2024-11-25 08:39
[11-23 06:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:13:06 tlr: 0.00021 tnm: 0.30 Lm: 6.657 (6.657) Lt: 5.950 (5.950) Accm: 3.15 (3.15) Acct: 4.91 (4.91) proj_loss: -0.5449 (-0.5449) time: 0.4715 data: 0.0004
[11-23 06:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:13:07 tlr: 0.00021 tnm: 0.30 Lm: 6.579 (6.579) Lt: 5.823 (5.823) Accm: 3.22 (3.22) Acct: 5.01 (5.01) proj_loss: -0.5320 (-0.5320) time: 0.4718 data: 0.0003
[11-23 06:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:13:05 tlr: 0.00021 tnm: 0.30 Lm: 6.848 (6.848) Lt: 6.156 (6.156) Accm: 2.61 (2.61) Acct: 4.06 (4.06) proj_loss: -0.5355 (-0.5355) time: 0.4706 data: 0.0003
[11-23 06:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:13:06 tlr: 0.00021 tnm: 0.30 Lm: 6.937 (6.937) Lt: 6.204 (6.204) Accm: 2.27 (2.27) Acct: 3.65 (3.65) proj_loss: -0.5145 (-0.5145) time: 0.4710 data: 0.0004
[11-23 07:02:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.30 Lm: 6.818 (6.818) Lt: 6.073 (6.073) Accm: 2.64 (2.64) Acct: 4.16 (4.16) proj_loss: -0.5208 (-0.5208) time: 0.4872 data: 0.0003
[11-23 07:02:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.30 Lm: 6.654 (6.654) Lt: 5.940 (5.940) Accm: 3.12 (3.12) Acct: 4.83 (4.83) proj_loss: -0.5427 (-0.5427) time: 0.4872 data: 0.0003
[11-23 07:02:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.30 Lm: 6.841 (6.841) Lt: 6.145 (6.145) Accm: 2.65 (2.65) Acct: 4.14 (4.14) proj_loss: -0.5424 (-0.5424) time: 0.4872 data: 0.0002
[11-23 07:02:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.30 Lm: 6.704 (6.704) Lt: 5.960 (5.960) Accm: 2.88 (2.88) Acct: 4.45 (4.45) proj_loss: -0.5340 (-0.5340) time: 0.4872 data: 0.0003
[11-23 07:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.31 Lm: 6.719 (6.709) Lt: 6.005 (5.975) Accm: 2.88 (2.88) Acct: 4.58 (4.49) proj_loss: -0.5356 (-0.5345) time: 0.4903 data: 0.0003
[11-23 07:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.31 Lm: 6.781 (6.806) Lt: 6.115 (6.087) Accm: 2.64 (2.64) Acct: 4.15 (4.16) proj_loss: -0.5271 (-0.5300) time: 0.4903 data: 0.0002
[11-23 07:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.31 Lm: 6.657 (6.715) Lt: 5.950 (5.997) Accm: 3.09 (2.92) Acct: 4.75 (4.64) proj_loss: -0.5449 (-0.5452) time: 0.4903 data: 0.0003
[11-23 07:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.31 Lm: 6.834 (6.808) Lt: 6.134 (6.091) Accm: 2.69 (2.75) Acct: 4.22 (4.36) proj_loss: -0.5355 (-0.5354) time: 0.4903 data: 0.0003
[11-23 07:09:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.33 Lm: 6.788 (6.770) Lt: 6.058 (6.049) Accm: 2.83 (2.83) Acct: 4.46 (4.45) proj_loss: -0.5394 (-0.5373) time: 0.4891 data: 0.0002
[11-23 07:09:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.33 Lm: 6.839 (6.829) Lt: 6.159 (6.128) Accm: 2.46 (2.53) Acct: 3.90 (3.93) proj_loss: -0.5377 (-0.5409) time: 0.4891 data: 0.0003
[11-23 07:09:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.33 Lm: 6.748 (6.751) Lt: 6.031 (6.028) Accm: 2.90 (2.86) Acct: 4.50 (4.49) proj_loss: -0.5436 (-0.5445) time: 0.4891 data: 0.0003
[11-23 07:09:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.33 Lm: 6.774 (6.760) Lt: 6.051 (6.035) Accm: 2.71 (2.76) Acct: 4.24 (4.29) proj_loss: -0.5358 (-0.5383) time: 0.4891 data: 0.0003
[11-23 07:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.806 (6.769) Lt: 6.096 (6.057) Accm: 2.56 (2.72) Acct: 3.89 (4.19) proj_loss: -0.5356 (-0.5332) time: 0.4888 data: 0.0015
[11-23 07:13:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:13:54 (0.500 s / it)
[11-23 07:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.753 (6.752) Lt: 6.042 (6.031) Accm: 2.91 (2.87) Acct: 4.75 (4.56) proj_loss: -0.5449 (-0.5452) time: 0.4888 data: 0.0017
[11-23 07:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.775 (6.771) Lt: 6.118 (6.063) Accm: 2.69 (2.78) Acct: 4.22 (4.35) proj_loss: -0.5432 (-0.5408) time: 0.4888 data: 0.0017
[11-23 07:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.873 (6.837) Lt: 6.156 (6.133) Accm: 2.51 (2.52) Acct: 3.98 (3.94) proj_loss: -0.5465 (-0.5420) time: 0.4888 data: 0.0018
[11-23 07:13:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:13:54 (0.500 s / it)
[11-23 07:13:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:13:54 (0.500 s / it)
[11-23 07:13:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:13:54 (0.500 s / it)
[11-23 07:13:30] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.775 (6.782), Lt: 6.069 (6.074), Acc m&t: 2.68 4.20, Remain: 2 days, 17:19:47, Finish: 2024-11-25 08:33
[11-23 07:13:30] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.775 (6.782), Lt: 6.069 (6.074), Acc m&t: 2.68 4.20, Remain: 2 days, 17:17:17, Finish: 2024-11-25 08:30
[11-23 07:13:30] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.775 (6.782), Lt: 6.069 (6.074), Acc m&t: 2.68 4.20, Remain: 2 days, 17:16:39, Finish: 2024-11-25 08:30
[11-23 07:13:30] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.775 (6.782), Lt: 6.069 (6.074), Acc m&t: 2.68 4.20, Remain: 2 days, 17:18:19, Finish: 2024-11-25 08:31
[11-23 07:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.31 Lm: 6.812 (6.812) Lt: 6.110 (6.110) Accm: 2.35 (2.35) Acct: 3.44 (3.44) proj_loss: -0.5541 (-0.5541) time: 0.4609 data: 0.0004
[11-23 07:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:13:48 tlr: 0.00021 tnm: 0.31 Lm: 6.617 (6.617) Lt: 5.883 (5.883) Accm: 3.12 (3.12) Acct: 4.89 (4.89) proj_loss: -0.5410 (-0.5410) time: 0.4962 data: 0.0004
[11-23 07:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:13:41 tlr: 0.00021 tnm: 0.31 Lm: 6.706 (6.706) Lt: 5.962 (5.962) Accm: 2.63 (2.63) Acct: 4.44 (4.44) proj_loss: -0.5548 (-0.5548) time: 0.4922 data: 0.0004
[11-23 07:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:13:46 tlr: 0.00021 tnm: 0.31 Lm: 6.780 (6.780) Lt: 6.066 (6.066) Accm: 2.73 (2.73) Acct: 4.17 (4.17) proj_loss: -0.5342 (-0.5342) time: 0.4952 data: 0.0004
[11-23 07:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.30 Lm: 6.673 (6.673) Lt: 5.939 (5.939) Accm: 3.01 (3.01) Acct: 4.72 (4.72) proj_loss: -0.5502 (-0.5502) time: 0.4853 data: 0.0003
[11-23 07:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.30 Lm: 6.752 (6.752) Lt: 6.034 (6.034) Accm: 2.62 (2.62) Acct: 4.13 (4.13) proj_loss: -0.5549 (-0.5549) time: 0.4853 data: 0.0003
[11-23 07:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.30 Lm: 6.712 (6.712) Lt: 5.997 (5.997) Accm: 2.82 (2.82) Acct: 4.56 (4.56) proj_loss: -0.5430 (-0.5430) time: 0.4853 data: 0.0002
[11-23 07:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.30 Lm: 6.670 (6.670) Lt: 5.957 (5.957) Accm: 2.88 (2.88) Acct: 4.21 (4.21) proj_loss: -0.5474 (-0.5474) time: 0.4853 data: 0.0003
[11-23 07:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:06:53 tlr: 0.00021 tnm: 0.31 Lm: 6.673 (6.671) Lt: 5.973 (5.962) Accm: 2.94 (2.90) Acct: 4.80 (4.41) proj_loss: -0.5541 (-0.5561) time: 0.4900 data: 0.0003
[11-23 07:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:06:53 tlr: 0.00021 tnm: 0.31 Lm: 6.656 (6.693) Lt: 5.920 (5.972) Accm: 3.01 (2.88) Acct: 4.86 (4.66) proj_loss: -0.5410 (-0.5384) time: 0.4900 data: 0.0002
[11-23 07:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:06:53 tlr: 0.00021 tnm: 0.31 Lm: 6.769 (6.758) Lt: 6.031 (6.033) Accm: 2.62 (2.59) Acct: 4.17 (4.14) proj_loss: -0.5548 (-0.5403) time: 0.4900 data: 0.0003
[11-23 07:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:06:53 tlr: 0.00021 tnm: 0.31 Lm: 6.780 (6.710) Lt: 6.063 (5.980) Accm: 2.73 (2.89) Acct: 4.17 (4.46) proj_loss: -0.5542 (-0.5516) time: 0.4900 data: 0.0003
[11-23 07:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:03:26 tlr: 0.00021 tnm: 0.32 Lm: 6.782 (6.763) Lt: 6.065 (6.051) Accm: 2.68 (2.76) Acct: 4.05 (4.27) proj_loss: -0.5503 (-0.5502) time: 0.4864 data: 0.0003
[11-23 07:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:03:26 tlr: 0.00021 tnm: 0.32 Lm: 6.675 (6.672) Lt: 6.002 (5.979) Accm: 2.84 (2.86) Acct: 4.45 (4.33) proj_loss: -0.5528 (-0.5549) time: 0.4864 data: 0.0002
[11-23 07:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:03:26 tlr: 0.00021 tnm: 0.32 Lm: 6.731 (6.751) Lt: 6.016 (6.053) Accm: 2.76 (2.72) Acct: 4.55 (4.30) proj_loss: -0.5430 (-0.5407) time: 0.4864 data: 0.0002
[11-23 07:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:03:26 tlr: 0.00021 tnm: 0.32 Lm: 6.737 (6.738) Lt: 6.024 (6.029) Accm: 2.62 (2.62) Acct: 4.24 (4.19) proj_loss: -0.5505 (-0.5417) time: 0.4864 data: 0.0003
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.769 (6.764) Lt: 6.031 (6.055) Accm: 2.62 (2.61) Acct: 4.17 (4.14) proj_loss: -0.5461 (-0.5414) time: 0.4900 data: 0.0020
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:13:42 (0.493 s / it)
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.656 (6.722) Lt: 5.920 (6.018) Accm: 2.96 (2.77) Acct: 4.49 (4.34) proj_loss: -0.5410 (-0.5402) time: 0.4900 data: 0.0019
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.780 (6.761) Lt: 6.063 (6.046) Accm: 2.64 (2.73) Acct: 4.17 (4.31) proj_loss: -0.5463 (-0.5447) time: 0.4900 data: 0.0018
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.673 (6.671) Lt: 5.973 (5.962) Accm: 2.94 (2.88) Acct: 4.49 (4.36) proj_loss: -0.5515 (-0.5509) time: 0.4900 data: 0.0020
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:13:42 (0.493 s / it)
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:13:42 (0.493 s / it)
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:13:42 (0.493 s / it)
[11-23 07:27:13] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.772 (6.772), Lt: 6.062 (6.062), Acc m&t: 2.69 4.23, Remain: 2 days, 17:18:34, Finish: 2024-11-25 08:45
[11-23 07:27:13] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.772 (6.772), Lt: 6.062 (6.062), Acc m&t: 2.69 4.23, Remain: 2 days, 17:17:46, Finish: 2024-11-25 08:44
[11-23 07:27:13] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.772 (6.772), Lt: 6.062 (6.062), Acc m&t: 2.69 4.23, Remain: 2 days, 17:20:51, Finish: 2024-11-25 08:48
[11-23 07:27:13] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.772 (6.772), Lt: 6.062 (6.062), Acc m&t: 2.69 4.23, Remain: 2 days, 17:20:41, Finish: 2024-11-25 08:47
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.30 Lm: 6.836 (6.836) Lt: 6.110 (6.110) Accm: 2.45 (2.45) Acct: 3.99 (3.99) proj_loss: -0.5314 (-0.5314) time: 0.4608 data: 0.0004
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:12:50 tlr: 0.00021 tnm: 0.30 Lm: 6.705 (6.705) Lt: 5.968 (5.968) Accm: 2.95 (2.95) Acct: 4.72 (4.72) proj_loss: -0.5513 (-0.5513) time: 0.4616 data: 0.0004
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:12:48 tlr: 0.00021 tnm: 0.30 Lm: 6.839 (6.839) Lt: 6.131 (6.131) Accm: 2.37 (2.37) Acct: 3.68 (3.68) proj_loss: -0.5594 (-0.5594) time: 0.4607 data: 0.0003
[11-23 07:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.30 Lm: 6.838 (6.838) Lt: 6.190 (6.190) Accm: 2.67 (2.67) Acct: 4.08 (4.08) proj_loss: -0.5453 (-0.5453) time: 0.4612 data: 0.0003
[11-23 07:30:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:10:26 tlr: 0.00021 tnm: 0.29 Lm: 6.829 (6.829) Lt: 6.167 (6.167) Accm: 2.59 (2.59) Acct: 3.98 (3.98) proj_loss: -0.5474 (-0.5474) time: 0.4925 data: 0.0003
[11-23 07:30:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:10:26 tlr: 0.00021 tnm: 0.29 Lm: 6.817 (6.817) Lt: 6.127 (6.127) Accm: 2.47 (2.47) Acct: 3.87 (3.87) proj_loss: -0.5527 (-0.5527) time: 0.4925 data: 0.0003
[11-23 07:30:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:10:26 tlr: 0.00021 tnm: 0.29 Lm: 6.783 (6.783) Lt: 6.053 (6.053) Accm: 2.62 (2.62) Acct: 4.25 (4.25) proj_loss: -0.5380 (-0.5380) time: 0.4926 data: 0.0003
[11-23 07:30:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:10:26 tlr: 0.00021 tnm: 0.29 Lm: 6.669 (6.669) Lt: 5.910 (5.910) Accm: 3.04 (3.04) Acct: 4.84 (4.84) proj_loss: -0.5460 (-0.5460) time: 0.4925 data: 0.0003
[11-23 07:34:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:07:10 tlr: 0.00021 tnm: 0.30 Lm: 6.705 (6.764) Lt: 5.968 (6.025) Accm: 2.95 (2.73) Acct: 4.72 (4.32) proj_loss: -0.5500 (-0.5473) time: 0.5954 data: 0.0002
[11-23 07:34:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:07:10 tlr: 0.00021 tnm: 0.30 Lm: 6.836 (6.858) Lt: 6.110 (6.155) Accm: 2.45 (2.46) Acct: 3.99 (3.92) proj_loss: -0.5314 (-0.5347) time: 0.5954 data: 0.0002
[11-23 07:34:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:07:10 tlr: 0.00021 tnm: 0.30 Lm: 6.838 (6.838) Lt: 6.153 (6.163) Accm: 2.51 (2.47) Acct: 3.87 (3.85) proj_loss: -0.5493 (-0.5480) time: 0.5953 data: 0.0003
[11-23 07:34:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:07:10 tlr: 0.00021 tnm: 0.30 Lm: 6.796 (6.796) Lt: 6.122 (6.104) Accm: 2.44 (2.46) Acct: 4.03 (3.93) proj_loss: -0.5461 (-0.5498) time: 0.5954 data: 0.0003
[11-23 07:37:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.32 Lm: 6.777 (6.786) Lt: 6.092 (6.093) Accm: 2.51 (2.53) Acct: 4.05 (3.96) proj_loss: -0.5470 (-0.5494) time: 0.4871 data: 0.0003
[11-23 07:37:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.32 Lm: 6.751 (6.772) Lt: 6.039 (6.046) Accm: 2.80 (2.71) Acct: 4.35 (4.24) proj_loss: -0.5506 (-0.5485) time: 0.4871 data: 0.0003
[11-23 07:37:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.32 Lm: 6.846 (6.877) Lt: 6.171 (6.209) Accm: 2.37 (2.39) Acct: 3.73 (3.73) proj_loss: -0.5473 (-0.5473) time: 0.4871 data: 0.0002
[11-23 07:37:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.32 Lm: 6.783 (6.801) Lt: 6.053 (6.099) Accm: 2.62 (2.62) Acct: 4.25 (4.13) proj_loss: -0.5380 (-0.5372) time: 0.4871 data: 0.0002
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.731 (6.765) Lt: 5.996 (6.055) Accm: 2.79 (2.72) Acct: 4.51 (4.28) proj_loss: -0.5314 (-0.5351) time: 0.4880 data: 0.0020
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:14:00 (0.504 s / it)
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.796 (6.781) Lt: 6.109 (6.065) Accm: 2.65 (2.59) Acct: 3.98 (4.01) proj_loss: -0.5513 (-0.5518) time: 0.4880 data: 0.0015
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.796 (6.799) Lt: 6.122 (6.121) Accm: 2.48 (2.52) Acct: 4.03 (3.90) proj_loss: -0.5480 (-0.5551) time: 0.4880 data: 0.0015
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.29 Lm: 6.838 (6.856) Lt: 6.153 (6.184) Accm: 2.51 (2.47) Acct: 3.87 (3.86) proj_loss: -0.5493 (-0.5511) time: 0.4880 data: 0.0017
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:14:00 (0.504 s / it)
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:14:00 (0.504 s / it)
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:14:00 (0.504 s / it)
[11-23 07:41:14] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.772 (6.778), Lt: 6.062 (6.071), Acc m&t: 2.69 4.23, Remain: 2 days, 16:48:09, Finish: 2024-11-25 08:29
[11-23 07:41:14] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.772 (6.778), Lt: 6.062 (6.071), Acc m&t: 2.69 4.23, Remain: 2 days, 16:48:01, Finish: 2024-11-25 08:29
[11-23 07:41:14] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.772 (6.778), Lt: 6.062 (6.071), Acc m&t: 2.69 4.23, Remain: 2 days, 16:48:40, Finish: 2024-11-25 08:29
[11-23 07:41:14] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.772 (6.778), Lt: 6.062 (6.071), Acc m&t: 2.69 4.23, Remain: 2 days, 16:48:14, Finish: 2024-11-25 08:29
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:12:50 tlr: 0.00021 tnm: 0.30 Lm: 6.818 (6.818) Lt: 6.133 (6.133) Accm: 2.62 (2.62) Acct: 4.08 (4.08) proj_loss: -0.5433 (-0.5433) time: 0.4616 data: 0.0004
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:12:50 tlr: 0.00021 tnm: 0.30 Lm: 6.785 (6.785) Lt: 6.084 (6.084) Accm: 2.67 (2.67) Acct: 4.37 (4.37) proj_loss: -0.5643 (-0.5643) time: 0.4616 data: 0.0003
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:12:59 tlr: 0.00021 tnm: 0.30 Lm: 6.843 (6.843) Lt: 6.153 (6.153) Accm: 2.51 (2.51) Acct: 4.03 (4.03) proj_loss: -0.5181 (-0.5181) time: 0.4672 data: 0.0004
[11-23 07:41:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:12:50 tlr: 0.00021 tnm: 0.30 Lm: 6.661 (6.661) Lt: 5.898 (5.898) Accm: 2.98 (2.98) Acct: 4.51 (4.51) proj_loss: -0.5620 (-0.5620) time: 0.4617 data: 0.0004
[11-23 07:44:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:10:11 tlr: 0.00021 tnm: 0.30 Lm: 6.685 (6.685) Lt: 5.955 (5.955) Accm: 2.86 (2.86) Acct: 4.46 (4.46) proj_loss: -0.5604 (-0.5604) time: 0.4848 data: 0.0003
[11-23 07:44:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:10:11 tlr: 0.00021 tnm: 0.30 Lm: 6.776 (6.776) Lt: 6.072 (6.072) Accm: 2.68 (2.68) Acct: 4.24 (4.24) proj_loss: -0.5527 (-0.5527) time: 0.4848 data: 0.0003
[11-23 07:44:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:10:11 tlr: 0.00021 tnm: 0.30 Lm: 6.892 (6.892) Lt: 6.214 (6.214) Accm: 2.35 (2.35) Acct: 3.74 (3.74) proj_loss: -0.5496 (-0.5496) time: 0.4848 data: 0.0003
[11-23 07:44:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:10:11 tlr: 0.00021 tnm: 0.30 Lm: 6.802 (6.802) Lt: 6.085 (6.085) Accm: 2.49 (2.49) Acct: 4.02 (4.02) proj_loss: -0.5261 (-0.5261) time: 0.4848 data: 0.0003
[11-23 07:48:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.30 Lm: 6.762 (6.709) Lt: 6.018 (5.995) Accm: 2.51 (2.75) Acct: 4.03 (4.28) proj_loss: -0.5341 (-0.5384) time: 0.4894 data: 0.0003
[11-23 07:48:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.30 Lm: 6.768 (6.751) Lt: 6.061 (6.037) Accm: 2.70 (2.71) Acct: 4.34 (4.27) proj_loss: -0.5608 (-0.5554) time: 0.4894 data: 0.0002
[11-23 07:48:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.30 Lm: 6.818 (6.854) Lt: 6.133 (6.155) Accm: 2.62 (2.49) Acct: 4.08 (3.92) proj_loss: -0.5450 (-0.5480) time: 0.4894 data: 0.0003
[11-23 07:48:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.30 Lm: 6.695 (6.688) Lt: 5.990 (5.967) Accm: 2.87 (2.86) Acct: 4.51 (4.49) proj_loss: -0.5589 (-0.5580) time: 0.4894 data: 0.0003
[11-23 07:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:03:29 tlr: 0.00021 tnm: 0.29 Lm: 6.702 (6.710) Lt: 6.001 (5.993) Accm: 2.80 (2.82) Acct: 4.46 (4.42) proj_loss: -0.5604 (-0.5607) time: 0.5996 data: 0.0003
[11-23 07:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:03:29 tlr: 0.00021 tnm: 0.29 Lm: 6.745 (6.743) Lt: 6.044 (6.035) Accm: 2.73 (2.74) Acct: 4.33 (4.28) proj_loss: -0.5625 (-0.5576) time: 0.5996 data: 0.0002
[11-23 07:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:03:29 tlr: 0.00021 tnm: 0.29 Lm: 6.801 (6.837) Lt: 6.114 (6.140) Accm: 2.67 (2.55) Acct: 4.18 (4.01) proj_loss: -0.5504 (-0.5512) time: 0.5996 data: 0.0003
[11-23 07:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:03:29 tlr: 0.00021 tnm: 0.29 Lm: 6.783 (6.733) Lt: 6.085 (6.036) Accm: 2.50 (2.69) Acct: 4.02 (4.16) proj_loss: -0.5342 (-0.5374) time: 0.5996 data: 0.0003
[11-23 07:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.762 (6.733) Lt: 6.018 (6.029) Accm: 2.51 (2.71) Acct: 4.03 (4.26) proj_loss: -0.5344 (-0.5369) time: 0.4910 data: 0.0019
[11-23 07:55:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:14:01 (0.504 s / it)
[11-23 07:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.784 (6.803) Lt: 6.095 (6.101) Accm: 2.72 (2.58) Acct: 4.27 (4.06) proj_loss: -0.5498 (-0.5509) time: 0.4910 data: 0.0018
[11-23 07:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.721 (6.712) Lt: 6.028 (6.006) Accm: 2.76 (2.79) Acct: 4.34 (4.35) proj_loss: -0.5608 (-0.5571) time: 0.4910 data: 0.0015
[11-23 07:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.710 (6.749) Lt: 6.011 (6.035) Accm: 2.73 (2.75) Acct: 4.41 (4.31) proj_loss: -0.5589 (-0.5587) time: 0.4910 data: 0.0019
[11-23 07:55:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:14:01 (0.504 s / it)
[11-23 07:55:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:14:01 (0.504 s / it)
[11-23 07:55:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:14:01 (0.504 s / it)
[11-23 07:55:15] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.771 (6.771), Lt: 6.062 (6.063), Acc m&t: 2.69 4.23, Remain: 2 days, 16:27:10, Finish: 2024-11-25 08:22
[11-23 07:55:15] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.771 (6.771), Lt: 6.062 (6.063), Acc m&t: 2.69 4.23, Remain: 2 days, 16:26:50, Finish: 2024-11-25 08:22
[11-23 07:55:15] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.771 (6.771), Lt: 6.062 (6.063), Acc m&t: 2.69 4.23, Remain: 2 days, 16:27:37, Finish: 2024-11-25 08:22
[11-23 07:55:15] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.771 (6.771), Lt: 6.062 (6.063), Acc m&t: 2.69 4.23, Remain: 2 days, 16:27:05, Finish: 2024-11-25 08:22
[11-23 07:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:13:13 tlr: 0.00021 tnm: 0.32 Lm: 6.657 (6.657) Lt: 5.915 (5.915) Accm: 3.20 (3.20) Acct: 5.03 (5.03) proj_loss: -0.5338 (-0.5338) time: 0.4757 data: 0.0004
[11-23 07:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:13:15 tlr: 0.00021 tnm: 0.32 Lm: 6.805 (6.805) Lt: 6.130 (6.130) Accm: 2.54 (2.54) Acct: 4.03 (4.03) proj_loss: -0.5686 (-0.5686) time: 0.4768 data: 0.0003
[11-23 07:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:13:15 tlr: 0.00021 tnm: 0.32 Lm: 6.846 (6.846) Lt: 6.141 (6.141) Accm: 2.52 (2.52) Acct: 3.72 (3.72) proj_loss: -0.5291 (-0.5291) time: 0.4768 data: 0.0004
[11-23 07:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:13:15 tlr: 0.00021 tnm: 0.32 Lm: 6.832 (6.832) Lt: 6.095 (6.095) Accm: 2.67 (2.67) Acct: 4.42 (4.42) proj_loss: -0.5446 (-0.5446) time: 0.4768 data: 0.0004
[11-23 07:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:10:21 tlr: 0.00021 tnm: 0.32 Lm: 6.815 (6.815) Lt: 6.086 (6.086) Accm: 2.58 (2.58) Acct: 4.27 (4.27) proj_loss: -0.5502 (-0.5502) time: 0.4874 data: 0.0003
[11-23 07:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:10:21 tlr: 0.00021 tnm: 0.32 Lm: 6.749 (6.749) Lt: 6.005 (6.005) Accm: 2.80 (2.80) Acct: 4.34 (4.34) proj_loss: -0.5347 (-0.5347) time: 0.4874 data: 0.0003
[11-23 07:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:10:21 tlr: 0.00021 tnm: 0.32 Lm: 6.760 (6.760) Lt: 6.045 (6.045) Accm: 2.69 (2.69) Acct: 4.36 (4.36) proj_loss: -0.5548 (-0.5548) time: 0.4874 data: 0.0002
[11-23 07:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:10:21 tlr: 0.00021 tnm: 0.32 Lm: 6.711 (6.711) Lt: 5.990 (5.990) Accm: 2.95 (2.95) Acct: 4.65 (4.65) proj_loss: -0.5570 (-0.5570) time: 0.4874 data: 0.0003
[11-23 08:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:06:52 tlr: 0.00021 tnm: 0.31 Lm: 6.764 (6.735) Lt: 5.994 (5.991) Accm: 2.70 (2.86) Acct: 4.51 (4.60) proj_loss: -0.5421 (-0.5521) time: 0.4903 data: 0.0003
[11-23 08:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:06:52 tlr: 0.00021 tnm: 0.31 Lm: 6.846 (6.793) Lt: 6.141 (6.068) Accm: 2.52 (2.65) Acct: 3.72 (4.11) proj_loss: -0.5403 (-0.5399) time: 0.4903 data: 0.0003
[11-23 08:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:06:52 tlr: 0.00021 tnm: 0.31 Lm: 6.805 (6.797) Lt: 6.130 (6.093) Accm: 2.54 (2.63) Acct: 4.18 (4.30) proj_loss: -0.5620 (-0.5572) time: 0.4903 data: 0.0002
[11-23 08:02:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:06:52 tlr: 0.00021 tnm: 0.31 Lm: 6.803 (6.811) Lt: 6.077 (6.073) Accm: 2.49 (2.53) Acct: 4.12 (4.15) proj_loss: -0.5558 (-0.5525) time: 0.4903 data: 0.0003
[11-23 08:05:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:03:25 tlr: 0.00021 tnm: 0.32 Lm: 6.817 (6.818) Lt: 6.086 (6.083) Accm: 2.46 (2.45) Acct: 4.01 (3.96) proj_loss: -0.5552 (-0.5530) time: 0.4911 data: 0.0003
[11-23 08:05:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:03:25 tlr: 0.00021 tnm: 0.32 Lm: 6.774 (6.750) Lt: 6.030 (6.011) Accm: 2.94 (2.94) Acct: 4.77 (4.78) proj_loss: -0.5402 (-0.5486) time: 0.4911 data: 0.0003
[11-23 08:05:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:03:25 tlr: 0.00021 tnm: 0.32 Lm: 6.802 (6.784) Lt: 6.108 (6.070) Accm: 2.59 (2.66) Acct: 4.03 (4.17) proj_loss: -0.5453 (-0.5475) time: 0.4911 data: 0.0003
[11-23 08:05:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:03:25 tlr: 0.00021 tnm: 0.32 Lm: 6.838 (6.822) Lt: 6.159 (6.123) Accm: 2.56 (2.61) Acct: 4.11 (4.21) proj_loss: -0.5515 (-0.5530) time: 0.4911 data: 0.0003
[11-23 08:08:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.805 (6.808) Lt: 6.130 (6.106) Accm: 2.57 (2.61) Acct: 4.03 (4.15) proj_loss: -0.5410 (-0.5497) time: 0.4906 data: 0.0015
[11-23 08:08:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:13:43 (0.493 s / it)
[11-23 08:08:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.757 (6.775) Lt: 6.075 (6.057) Accm: 2.67 (2.66) Acct: 4.34 (4.21) proj_loss: -0.5487 (-0.5477) time: 0.4906 data: 0.0017
[11-23 08:08:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.784 (6.767) Lt: 6.065 (6.037) Accm: 2.70 (2.83) Acct: 4.51 (4.57) proj_loss: -0.5382 (-0.5439) time: 0.4906 data: 0.0021
[11-23 08:08:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.832 (6.821) Lt: 6.087 (6.084) Accm: 2.49 (2.48) Acct: 4.12 (3.99) proj_loss: -0.5546 (-0.5460) time: 0.4906 data: 0.0021
[11-23 08:08:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:13:43 (0.493 s / it)
[11-23 08:08:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:13:43 (0.493 s / it)
[11-23 08:08:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:13:43 (0.493 s / it)
[11-23 08:08:59] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.771 (6.788), Lt: 6.062 (6.078), Acc m&t: 2.69 4.23, Remain: 2 days, 16:42:35, Finish: 2024-11-25 08:51
[11-23 08:08:59] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.771 (6.788), Lt: 6.062 (6.078), Acc m&t: 2.69 4.23, Remain: 2 days, 16:41:09, Finish: 2024-11-25 08:50
[11-23 08:08:59] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.771 (6.788), Lt: 6.062 (6.078), Acc m&t: 2.69 4.23, Remain: 2 days, 16:42:47, Finish: 2024-11-25 08:51
[11-23 08:08:59] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.771 (6.788), Lt: 6.062 (6.078), Acc m&t: 2.69 4.23, Remain: 2 days, 16:42:29, Finish: 2024-11-25 08:51
[11-23 08:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:13:00 tlr: 0.00021 tnm: 0.30 Lm: 6.725 (6.725) Lt: 6.029 (6.029) Accm: 3.12 (3.12) Acct: 4.91 (4.91) proj_loss: -0.5582 (-0.5582) time: 0.4674 data: 0.0003
[11-23 08:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 2:20:22 tlr: 0.00021 tnm: 0.30 Lm: 6.739 (6.739) Lt: 5.958 (5.958) Accm: 2.82 (2.82) Acct: 4.70 (4.70) proj_loss: -0.5623 (-0.5623) time: 5.0465 data: 0.0003
[11-23 08:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 2:20:23 tlr: 0.00021 tnm: 0.30 Lm: 6.902 (6.902) Lt: 6.206 (6.206) Accm: 2.52 (2.52) Acct: 4.05 (4.05) proj_loss: -0.5603 (-0.5603) time: 5.0468 data: 0.0003
[11-23 08:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 2:20:23 tlr: 0.00021 tnm: 0.30 Lm: 6.642 (6.642) Lt: 5.923 (5.923) Accm: 3.28 (3.28) Acct: 4.96 (4.96) proj_loss: -0.5654 (-0.5654) time: 5.0468 data: 0.0003
[11-23 08:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:10:45 tlr: 0.00021 tnm: 0.31 Lm: 6.788 (6.788) Lt: 6.097 (6.097) Accm: 2.83 (2.83) Acct: 4.27 (4.27) proj_loss: -0.5613 (-0.5613) time: 0.4879 data: 0.0003
[11-23 08:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:10:31 tlr: 0.00021 tnm: 0.31 Lm: 6.788 (6.788) Lt: 6.086 (6.086) Accm: 2.92 (2.92) Acct: 4.48 (4.48) proj_loss: -0.5540 (-0.5540) time: 0.4879 data: 0.0002
[11-23 08:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:10:45 tlr: 0.00021 tnm: 0.31 Lm: 6.822 (6.822) Lt: 6.134 (6.134) Accm: 2.58 (2.58) Acct: 4.01 (4.01) proj_loss: -0.5676 (-0.5676) time: 0.4880 data: 0.0002
[11-23 08:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:10:45 tlr: 0.00021 tnm: 0.31 Lm: 6.740 (6.740) Lt: 6.005 (6.005) Accm: 2.78 (2.78) Acct: 4.40 (4.40) proj_loss: -0.5510 (-0.5510) time: 0.4879 data: 0.0003
[11-23 08:16:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:07:17 tlr: 0.00021 tnm: 0.30 Lm: 6.739 (6.738) Lt: 6.003 (6.004) Accm: 2.82 (2.90) Acct: 4.70 (4.59) proj_loss: -0.5520 (-0.5513) time: 0.4885 data: 0.0003
[11-23 08:16:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:07:17 tlr: 0.00021 tnm: 0.30 Lm: 6.790 (6.811) Lt: 6.094 (6.121) Accm: 2.64 (2.61) Acct: 4.05 (4.10) proj_loss: -0.5603 (-0.5608) time: 0.4885 data: 0.0003
[11-23 08:16:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:07:12 tlr: 0.00021 tnm: 0.30 Lm: 6.792 (6.789) Lt: 6.060 (6.078) Accm: 2.72 (2.80) Acct: 4.15 (4.37) proj_loss: -0.5582 (-0.5585) time: 0.4885 data: 0.0003
[11-23 08:16:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:07:17 tlr: 0.00021 tnm: 0.30 Lm: 6.802 (6.793) Lt: 6.112 (6.102) Accm: 2.38 (2.67) Acct: 3.62 (4.05) proj_loss: -0.5572 (-0.5590) time: 0.4885 data: 0.0003
[11-23 08:19:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:03:34 tlr: 0.00021 tnm: 0.30 Lm: 6.790 (6.789) Lt: 6.074 (6.086) Accm: 2.49 (2.66) Acct: 4.06 (4.17) proj_loss: -0.5558 (-0.5485) time: 0.4900 data: 0.0003
[11-23 08:19:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:03:34 tlr: 0.00021 tnm: 0.30 Lm: 6.785 (6.803) Lt: 6.078 (6.106) Accm: 2.58 (2.56) Acct: 4.01 (4.06) proj_loss: -0.5559 (-0.5585) time: 0.4900 data: 0.0003
[11-23 08:19:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:03:34 tlr: 0.00021 tnm: 0.30 Lm: 6.740 (6.746) Lt: 6.027 (6.027) Accm: 2.82 (2.88) Acct: 4.61 (4.57) proj_loss: -0.5572 (-0.5549) time: 0.4900 data: 0.0003
[11-23 08:19:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:03:32 tlr: 0.00021 tnm: 0.30 Lm: 6.786 (6.787) Lt: 6.082 (6.084) Accm: 2.74 (2.79) Acct: 4.28 (4.38) proj_loss: -0.5601 (-0.5594) time: 0.4900 data: 0.0003
[11-23 08:23:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.781 (6.768) Lt: 6.060 (6.067) Accm: 2.75 (2.80) Acct: 4.41 (4.39) proj_loss: -0.5620 (-0.5621) time: 0.4891 data: 0.0018
[11-23 08:23:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:14:01 (0.504 s / it)
[11-23 08:23:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.790 (6.827) Lt: 6.094 (6.129) Accm: 2.52 (2.51) Acct: 3.98 (3.98) proj_loss: -0.5603 (-0.5589) time: 0.4891 data: 0.0016
[11-23 08:23:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.742 (6.755) Lt: 6.051 (6.038) Accm: 2.81 (2.82) Acct: 4.53 (4.52) proj_loss: -0.5575 (-0.5554) time: 0.4891 data: 0.0017
[11-23 08:23:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.778 (6.766) Lt: 6.037 (6.057) Accm: 2.61 (2.72) Acct: 4.51 (4.24) proj_loss: -0.5544 (-0.5484) time: 0.4891 data: 0.0019
[11-23 08:23:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:14:05 (0.507 s / it)
[11-23 08:23:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:14:05 (0.507 s / it)
[11-23 08:23:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:14:05 (0.507 s / it)
[11-23 08:25:17] (home/user/VAR/trainer.py, line 114)=> FID: 5.049240214335953
[11-23 08:25:17] (/home/user/VAR/train.py , line 259)=> [*] [ep69] (val 50000) Lm: 6.7700, Lt: 6.0629, Acc m&t: 2.72 4.28, Val cost: 132.12s
[11-23 08:25:17] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-23 08:26:08] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.770 (6.770), Lt: 6.062 (6.063), Acc m&t: 2.72 4.28, Remain: 2 days, 16:24:11, Finish: 2024-11-25 08:47
[11-23 08:26:08] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.770 (6.770), Lt: 6.062 (6.063), Acc m&t: 2.72 4.28, Remain: 2 days, 16:24:52, Finish: 2024-11-25 08:47
[11-23 08:26:08] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.770 (6.770), Lt: 6.062 (6.063), Acc m&t: 2.72 4.28, Remain: 2 days, 16:24:59, Finish: 2024-11-25 08:48
[11-23 08:26:08] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.770 (6.770), Lt: 6.062 (6.063), Acc m&t: 2.72 4.28, Remain: 2 days, 16:25:11, Finish: 2024-11-25 08:48
[11-23 08:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:13:07 tlr: 0.00021 tnm: 0.33 Lm: 6.792 (6.792) Lt: 6.046 (6.046) Accm: 2.88 (2.88) Acct: 4.73 (4.73) proj_loss: -0.5489 (-0.5489) time: 0.4719 data: 0.0004
[11-23 08:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:13:09 tlr: 0.00021 tnm: 0.33 Lm: 6.769 (6.769) Lt: 6.045 (6.045) Accm: 2.70 (2.70) Acct: 4.18 (4.18) proj_loss: -0.5627 (-0.5627) time: 0.4729 data: 0.0004
[11-23 08:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:13:09 tlr: 0.00021 tnm: 0.33 Lm: 6.822 (6.822) Lt: 6.118 (6.118) Accm: 2.69 (2.69) Acct: 4.30 (4.30) proj_loss: -0.5535 (-0.5535) time: 0.4728 data: 0.0003
[11-23 08:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:13:32 tlr: 0.00021 tnm: 0.33 Lm: 6.674 (6.674) Lt: 5.953 (5.953) Accm: 2.79 (2.79) Acct: 4.32 (4.32) proj_loss: -0.5414 (-0.5414) time: 0.4869 data: 0.0003
[11-23 08:29:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:10:13 tlr: 0.00021 tnm: 0.30 Lm: 6.701 (6.701) Lt: 5.982 (5.982) Accm: 2.86 (2.86) Acct: 4.43 (4.43) proj_loss: -0.5506 (-0.5506) time: 0.4900 data: 0.0002
[11-23 08:29:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:10:13 tlr: 0.00021 tnm: 0.30 Lm: 6.848 (6.848) Lt: 6.155 (6.155) Accm: 2.52 (2.52) Acct: 3.83 (3.83) proj_loss: -0.5567 (-0.5567) time: 0.4900 data: 0.0003
[11-23 08:29:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:10:13 tlr: 0.00021 tnm: 0.30 Lm: 6.758 (6.758) Lt: 6.025 (6.025) Accm: 2.92 (2.92) Acct: 4.58 (4.58) proj_loss: -0.5486 (-0.5486) time: 0.4900 data: 0.0003
[11-23 08:29:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:10:12 tlr: 0.00021 tnm: 0.30 Lm: 6.835 (6.835) Lt: 6.134 (6.134) Accm: 2.67 (2.67) Acct: 4.12 (4.12) proj_loss: -0.5550 (-0.5550) time: 0.4900 data: 0.0003
[11-23 08:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:06:50 tlr: 0.00021 tnm: 0.30 Lm: 6.822 (6.797) Lt: 6.118 (6.097) Accm: 2.69 (2.69) Acct: 4.30 (4.29) proj_loss: -0.5564 (-0.5556) time: 0.4926 data: 0.0003
[11-23 08:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:06:50 tlr: 0.00021 tnm: 0.30 Lm: 6.808 (6.835) Lt: 6.048 (6.119) Accm: 2.67 (2.57) Acct: 4.18 (3.96) proj_loss: -0.5506 (-0.5454) time: 0.4926 data: 0.0003
[11-23 08:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:06:50 tlr: 0.00021 tnm: 0.30 Lm: 6.674 (6.692) Lt: 5.980 (5.981) Accm: 2.94 (2.90) Acct: 4.53 (4.47) proj_loss: -0.5598 (-0.5543) time: 0.4926 data: 0.0003
[11-23 08:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:06:50 tlr: 0.00021 tnm: 0.30 Lm: 6.792 (6.781) Lt: 6.046 (6.057) Accm: 2.88 (2.73) Acct: 4.42 (4.28) proj_loss: -0.5484 (-0.5448) time: 0.4926 data: 0.0003
[11-23 08:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:03:31 tlr: 0.00021 tnm: 0.30 Lm: 6.758 (6.742) Lt: 6.025 (6.016) Accm: 2.92 (2.81) Acct: 4.58 (4.44) proj_loss: -0.5486 (-0.5490) time: 0.5444 data: 0.0003
[11-23 08:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:03:31 tlr: 0.00021 tnm: 0.30 Lm: 6.702 (6.710) Lt: 5.995 (6.008) Accm: 2.86 (2.84) Acct: 4.42 (4.34) proj_loss: -0.5539 (-0.5527) time: 0.5444 data: 0.0003
[11-23 08:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:03:31 tlr: 0.00021 tnm: 0.30 Lm: 6.809 (6.828) Lt: 6.081 (6.118) Accm: 2.68 (2.60) Acct: 4.20 (4.04) proj_loss: -0.5510 (-0.5469) time: 0.5444 data: 0.0003
[11-23 08:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:03:31 tlr: 0.00021 tnm: 0.30 Lm: 6.816 (6.801) Lt: 6.114 (6.100) Accm: 2.67 (2.68) Acct: 4.24 (4.26) proj_loss: -0.5550 (-0.5541) time: 0.5444 data: 0.0003
[11-23 08:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.822 (6.805) Lt: 6.118 (6.107) Accm: 2.65 (2.65) Acct: 4.17 (4.19) proj_loss: -0.5564 (-0.5578) time: 0.5429 data: 0.0016
[11-23 08:40:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:14:05 (0.507 s / it)
[11-23 08:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.678 (6.703) Lt: 5.985 (6.003) Accm: 2.94 (2.89) Acct: 4.53 (4.44) proj_loss: -0.5598 (-0.5581) time: 0.5429 data: 0.0016
[11-23 08:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.810 (6.829) Lt: 6.113 (6.121) Accm: 2.70 (2.63) Acct: 4.22 (4.13) proj_loss: -0.5514 (-0.5499) time: 0.5429 data: 0.0020
[11-23 08:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.725 (6.727) Lt: 6.005 (5.982) Accm: 2.88 (2.81) Acct: 4.42 (4.44) proj_loss: -0.5484 (-0.5469) time: 0.5428 data: 0.0019
[11-23 08:40:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:14:05 (0.507 s / it)
[11-23 08:40:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:14:05 (0.507 s / it)
[11-23 08:40:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:14:05 (0.507 s / it)
[11-23 08:40:14] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.762 (6.762), Lt: 6.052 (6.052), Acc m&t: 2.72 4.28, Remain: 2 days, 16:06:12, Finish: 2024-11-25 08:46
[11-23 08:40:14] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.762 (6.762), Lt: 6.052 (6.052), Acc m&t: 2.72 4.28, Remain: 2 days, 16:05:46, Finish: 2024-11-25 08:46
[11-23 08:40:14] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.762 (6.762), Lt: 6.052 (6.052), Acc m&t: 2.72 4.28, Remain: 2 days, 16:06:30, Finish: 2024-11-25 08:46
[11-23 08:40:14] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.762 (6.762), Lt: 6.052 (6.052), Acc m&t: 2.72 4.28, Remain: 2 days, 16:06:30, Finish: 2024-11-25 08:46
[11-23 08:40:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.31 Lm: 6.761 (6.761) Lt: 6.045 (6.045) Accm: 2.96 (2.96) Acct: 4.68 (4.68) proj_loss: -0.5354 (-0.5354) time: 0.4608 data: 0.0003
[11-23 08:40:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.31 Lm: 6.564 (6.564) Lt: 5.772 (5.772) Accm: 3.21 (3.21) Acct: 5.17 (5.17) proj_loss: -0.5429 (-0.5429) time: 0.4611 data: 0.0004
[11-23 08:40:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:12:50 tlr: 0.00021 tnm: 0.31 Lm: 6.567 (6.567) Lt: 5.819 (5.819) Accm: 3.16 (3.16) Acct: 4.92 (4.92) proj_loss: -0.5431 (-0.5431) time: 0.4617 data: 0.0004
[11-23 08:40:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:13:20 tlr: 0.00021 tnm: 0.31 Lm: 6.668 (6.668) Lt: 5.901 (5.901) Accm: 2.80 (2.80) Acct: 4.37 (4.37) proj_loss: -0.5599 (-0.5599) time: 0.4797 data: 0.0004
[11-23 08:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:10:12 tlr: 0.00021 tnm: 0.32 Lm: 6.729 (6.729) Lt: 5.975 (5.975) Accm: 2.79 (2.79) Acct: 4.41 (4.41) proj_loss: -0.5463 (-0.5463) time: 0.4876 data: 0.0003
[11-23 08:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:10:12 tlr: 0.00021 tnm: 0.32 Lm: 6.640 (6.640) Lt: 5.905 (5.905) Accm: 2.97 (2.97) Acct: 4.73 (4.73) proj_loss: -0.5506 (-0.5506) time: 0.4876 data: 0.0003
[11-23 08:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:10:12 tlr: 0.00021 tnm: 0.32 Lm: 6.642 (6.642) Lt: 5.860 (5.860) Accm: 3.01 (3.01) Acct: 4.83 (4.83) proj_loss: -0.5380 (-0.5380) time: 0.4876 data: 0.0003
[11-23 08:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:10:12 tlr: 0.00021 tnm: 0.32 Lm: 6.833 (6.833) Lt: 6.128 (6.128) Accm: 2.76 (2.76) Acct: 4.36 (4.36) proj_loss: -0.5311 (-0.5311) time: 0.4876 data: 0.0003
[11-23 08:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.29 Lm: 6.761 (6.808) Lt: 6.045 (6.098) Accm: 2.77 (2.76) Acct: 4.36 (4.36) proj_loss: -0.5354 (-0.5362) time: 0.4883 data: 0.0003
[11-23 08:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.29 Lm: 6.712 (6.696) Lt: 5.990 (5.971) Accm: 2.78 (2.81) Acct: 4.53 (4.49) proj_loss: -0.5431 (-0.5463) time: 0.4883 data: 0.0003
[11-23 08:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.29 Lm: 6.768 (6.742) Lt: 6.050 (6.009) Accm: 2.79 (2.74) Acct: 4.37 (4.24) proj_loss: -0.5380 (-0.5435) time: 0.4883 data: 0.0003
[11-23 08:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:06:47 tlr: 0.00021 tnm: 0.29 Lm: 6.720 (6.677) Lt: 5.949 (5.917) Accm: 2.81 (2.94) Acct: 4.49 (4.64) proj_loss: -0.5421 (-0.5393) time: 0.4883 data: 0.0003
[11-23 08:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.29 Lm: 6.734 (6.696) Lt: 5.989 (5.948) Accm: 2.85 (2.93) Acct: 4.74 (4.73) proj_loss: -0.5399 (-0.5389) time: 0.4910 data: 0.0003
[11-23 08:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.29 Lm: 6.802 (6.817) Lt: 6.092 (6.108) Accm: 2.67 (2.67) Acct: 4.19 (4.19) proj_loss: -0.5350 (-0.5358) time: 0.4910 data: 0.0003
[11-23 08:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.29 Lm: 6.708 (6.698) Lt: 5.983 (5.972) Accm: 2.76 (2.79) Acct: 4.49 (4.48) proj_loss: -0.5506 (-0.5549) time: 0.4910 data: 0.0003
[11-23 08:50:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.29 Lm: 6.755 (6.742) Lt: 6.050 (6.019) Accm: 2.72 (2.72) Acct: 4.28 (4.22) proj_loss: -0.5368 (-0.5416) time: 0.4910 data: 0.0003
[11-23 08:53:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.768 (6.750) Lt: 6.050 (6.034) Accm: 2.66 (2.69) Acct: 4.18 (4.15) proj_loss: -0.5380 (-0.5466) time: 0.5469 data: 0.0018
[11-23 08:53:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:13:41 (0.492 s / it)
[11-23 08:53:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.712 (6.716) Lt: 5.990 (5.994) Accm: 2.78 (2.79) Acct: 4.53 (4.51) proj_loss: -0.5453 (-0.5530) time: 0.5469 data: 0.0015
[11-23 08:53:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.725 (6.702) Lt: 6.029 (5.969) Accm: 2.81 (2.87) Acct: 4.49 (4.62) proj_loss: -0.5421 (-0.5500) time: 0.5469 data: 0.0015
[11-23 08:53:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.761 (6.799) Lt: 6.045 (6.085) Accm: 2.77 (2.70) Acct: 4.30 (4.21) proj_loss: -0.5354 (-0.5377) time: 0.5469 data: 0.0018
[11-23 08:53:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:13:41 (0.492 s / it)
[11-23 08:53:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:13:41 (0.492 s / it)
[11-23 08:53:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:13:41 (0.492 s / it)
[11-23 08:53:55] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.751 (6.751), Lt: 6.035 (6.035), Acc m&t: 2.76 4.33, Remain: 2 days, 15:59:22, Finish: 2024-11-25 08:53
[11-23 08:53:55] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.751 (6.751), Lt: 6.035 (6.035), Acc m&t: 2.76 4.33, Remain: 2 days, 15:58:53, Finish: 2024-11-25 08:52
[11-23 08:53:55] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.751 (6.751), Lt: 6.035 (6.035), Acc m&t: 2.76 4.33, Remain: 2 days, 15:59:51, Finish: 2024-11-25 08:53
[11-23 08:53:55] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.751 (6.751), Lt: 6.035 (6.035), Acc m&t: 2.76 4.33, Remain: 2 days, 15:58:54, Finish: 2024-11-25 08:52
[11-23 08:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:12:48 tlr: 0.00021 tnm: 0.32 Lm: 6.652 (6.652) Lt: 5.924 (5.924) Accm: 3.10 (3.10) Acct: 4.98 (4.98) proj_loss: -0.5553 (-0.5553) time: 0.4602 data: 0.0003
[11-23 08:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:12:48 tlr: 0.00021 tnm: 0.32 Lm: 6.747 (6.747) Lt: 6.032 (6.032) Accm: 2.53 (2.53) Acct: 4.03 (4.03) proj_loss: -0.5257 (-0.5257) time: 0.4607 data: 0.0004
[11-23 08:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:12:48 tlr: 0.00021 tnm: 0.32 Lm: 6.763 (6.763) Lt: 6.107 (6.107) Accm: 2.59 (2.59) Acct: 4.15 (4.15) proj_loss: -0.5435 (-0.5435) time: 0.4607 data: 0.0004
[11-23 08:53:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:12:49 tlr: 0.00021 tnm: 0.32 Lm: 6.648 (6.648) Lt: 5.910 (5.910) Accm: 2.97 (2.97) Acct: 4.55 (4.55) proj_loss: -0.5649 (-0.5649) time: 0.4609 data: 0.0004
[11-23 08:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:10:50 tlr: 0.0002 tnm: 0.35 Lm: 6.746 (6.746) Lt: 6.036 (6.036) Accm: 2.77 (2.77) Acct: 4.17 (4.17) proj_loss: -0.5547 (-0.5547) time: 0.5987 data: 0.0003
[11-23 08:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:10:50 tlr: 0.0002 tnm: 0.35 Lm: 6.710 (6.710) Lt: 5.984 (5.984) Accm: 3.00 (3.00) Acct: 4.73 (4.73) proj_loss: -0.5512 (-0.5512) time: 0.5987 data: 0.0002
[11-23 08:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:10:50 tlr: 0.0002 tnm: 0.35 Lm: 6.768 (6.768) Lt: 6.078 (6.078) Accm: 2.63 (2.63) Acct: 4.10 (4.10) proj_loss: -0.5472 (-0.5472) time: 0.5987 data: 0.0003
[11-23 08:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:10:50 tlr: 0.0002 tnm: 0.35 Lm: 6.781 (6.781) Lt: 6.052 (6.052) Accm: 2.55 (2.55) Acct: 3.97 (3.97) proj_loss: -0.5357 (-0.5357) time: 0.5987 data: 0.0003
[11-23 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:07:12 tlr: 0.0002 tnm: 0.30 Lm: 6.816 (6.812) Lt: 6.073 (6.113) Accm: 2.53 (2.50) Acct: 3.91 (3.94) proj_loss: -0.5456 (-0.5487) time: 0.4934 data: 0.0004
[11-23 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:07:13 tlr: 0.0002 tnm: 0.30 Lm: 6.768 (6.756) Lt: 6.043 (6.063) Accm: 2.91 (2.76) Acct: 4.49 (4.37) proj_loss: -0.5553 (-0.5561) time: 0.4935 data: 0.0003
[11-23 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:07:12 tlr: 0.0002 tnm: 0.30 Lm: 6.773 (6.792) Lt: 6.107 (6.111) Accm: 2.62 (2.62) Acct: 4.05 (4.01) proj_loss: -0.5509 (-0.5524) time: 0.4935 data: 0.0003
[11-23 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:07:13 tlr: 0.0002 tnm: 0.30 Lm: 6.844 (6.803) Lt: 6.161 (6.125) Accm: 2.56 (2.60) Acct: 3.79 (3.94) proj_loss: -0.5649 (-0.5598) time: 0.4934 data: 0.0003
[11-23 09:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:03:32 tlr: 0.0002 tnm: 0.30 Lm: 6.767 (6.774) Lt: 6.095 (6.101) Accm: 2.65 (2.63) Acct: 4.04 (4.02) proj_loss: -0.5663 (-0.5618) time: 0.4926 data: 0.0003
[11-23 09:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:03:32 tlr: 0.0002 tnm: 0.30 Lm: 6.781 (6.791) Lt: 6.096 (6.105) Accm: 2.62 (2.62) Acct: 4.10 (4.07) proj_loss: -0.5569 (-0.5584) time: 0.4926 data: 0.0003
[11-23 09:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:03:32 tlr: 0.0002 tnm: 0.30 Lm: 6.767 (6.759) Lt: 6.057 (6.065) Accm: 2.79 (2.74) Acct: 4.25 (4.28) proj_loss: -0.5555 (-0.5560) time: 0.4926 data: 0.0003
[11-23 09:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:03:32 tlr: 0.0002 tnm: 0.30 Lm: 6.781 (6.769) Lt: 6.052 (6.052) Accm: 2.55 (2.66) Acct: 3.97 (4.16) proj_loss: -0.5543 (-0.5522) time: 0.4926 data: 0.0003
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.747 (6.737) Lt: 6.032 (6.012) Accm: 2.56 (2.84) Acct: 4.03 (4.45) proj_loss: -0.5624 (-0.5543) time: 0.4937 data: 0.0018
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:14:02 (0.505 s / it)
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.766 (6.750) Lt: 6.043 (6.049) Accm: 2.67 (2.71) Acct: 4.15 (4.25) proj_loss: -0.5557 (-0.5576) time: 0.4937 data: 0.0016
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.773 (6.774) Lt: 6.086 (6.072) Accm: 2.62 (2.64) Acct: 4.15 (4.12) proj_loss: -0.5509 (-0.5567) time: 0.4937 data: 0.0019
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.780 (6.776) Lt: 6.042 (6.089) Accm: 2.73 (2.70) Acct: 4.29 (4.19) proj_loss: -0.5649 (-0.5605) time: 0.4937 data: 0.0018
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:14:02 (0.505 s / it)
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:14:02 (0.505 s / it)
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:14:02 (0.505 s / it)
[11-23 09:07:58] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.751 (6.762), Lt: 6.035 (6.053), Acc m&t: 2.76 4.33, Remain: 2 days, 15:59:11, Finish: 2024-11-25 09:07
[11-23 09:07:58] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.751 (6.762), Lt: 6.035 (6.053), Acc m&t: 2.76 4.33, Remain: 2 days, 15:59:20, Finish: 2024-11-25 09:07
[11-23 09:07:58] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.751 (6.762), Lt: 6.035 (6.053), Acc m&t: 2.76 4.33, Remain: 2 days, 15:59:27, Finish: 2024-11-25 09:07
[11-23 09:07:58] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.751 (6.762), Lt: 6.035 (6.053), Acc m&t: 2.76 4.33, Remain: 2 days, 16:02:39, Finish: 2024-11-25 09:10
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.29 Lm: 6.816 (6.816) Lt: 6.121 (6.121) Accm: 2.59 (2.59) Acct: 4.20 (4.20) proj_loss: -0.5560 (-0.5560) time: 0.4612 data: 0.0004
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:12:50 tlr: 0.0002 tnm: 0.29 Lm: 6.666 (6.666) Lt: 5.957 (5.957) Accm: 2.91 (2.91) Acct: 4.53 (4.53) proj_loss: -0.5482 (-0.5482) time: 0.4614 data: 0.0004
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.29 Lm: 6.894 (6.894) Lt: 6.198 (6.198) Accm: 2.43 (2.43) Acct: 3.75 (3.75) proj_loss: -0.5674 (-0.5674) time: 0.4612 data: 0.0004
[11-23 09:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.29 Lm: 6.524 (6.524) Lt: 5.803 (5.803) Accm: 3.27 (3.27) Acct: 4.98 (4.98) proj_loss: -0.5503 (-0.5503) time: 0.4613 data: 0.0004
[11-23 09:11:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.32 Lm: 6.632 (6.632) Lt: 5.926 (5.926) Accm: 2.98 (2.98) Acct: 4.52 (4.52) proj_loss: -0.5537 (-0.5537) time: 0.4888 data: 0.0003
[11-23 09:11:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.32 Lm: 6.727 (6.727) Lt: 6.034 (6.034) Accm: 2.79 (2.79) Acct: 4.34 (4.34) proj_loss: -0.5605 (-0.5605) time: 0.4888 data: 0.0003
[11-23 09:11:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.32 Lm: 6.779 (6.779) Lt: 6.072 (6.072) Accm: 2.66 (2.66) Acct: 4.24 (4.24) proj_loss: -0.5470 (-0.5470) time: 0.4888 data: 0.0003
[11-23 09:11:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.32 Lm: 6.761 (6.761) Lt: 6.026 (6.026) Accm: 2.85 (2.85) Acct: 4.47 (4.47) proj_loss: -0.5575 (-0.5575) time: 0.4888 data: 0.0003
[11-23 09:14:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:06:56 tlr: 0.0002 tnm: 0.32 Lm: 6.643 (6.722) Lt: 5.909 (5.987) Accm: 2.79 (2.83) Acct: 4.51 (4.48) proj_loss: -0.5477 (-0.5542) time: 0.5987 data: 0.0003
[11-23 09:14:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:06:56 tlr: 0.0002 tnm: 0.32 Lm: 6.852 (6.803) Lt: 6.137 (6.094) Accm: 2.51 (2.61) Acct: 3.96 (4.15) proj_loss: -0.5482 (-0.5550) time: 0.5986 data: 0.0003
[11-23 09:14:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:06:56 tlr: 0.0002 tnm: 0.32 Lm: 6.686 (6.650) Lt: 6.016 (5.956) Accm: 2.86 (2.94) Acct: 4.13 (4.39) proj_loss: -0.5572 (-0.5599) time: 0.5987 data: 0.0003
[11-23 09:14:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:06:56 tlr: 0.0002 tnm: 0.32 Lm: 6.713 (6.722) Lt: 5.946 (6.002) Accm: 2.63 (2.74) Acct: 4.48 (4.38) proj_loss: -0.5560 (-0.5534) time: 0.5987 data: 0.0003
[11-23 09:18:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:03:33 tlr: 0.0002 tnm: 0.31 Lm: 6.765 (6.772) Lt: 6.034 (6.083) Accm: 2.61 (2.64) Acct: 4.34 (4.17) proj_loss: -0.5605 (-0.5598) time: 0.4906 data: 0.0002
[11-23 09:18:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:03:33 tlr: 0.0002 tnm: 0.31 Lm: 6.700 (6.666) Lt: 6.020 (5.973) Accm: 2.78 (2.83) Acct: 4.10 (4.24) proj_loss: -0.5584 (-0.5598) time: 0.4906 data: 0.0003
[11-23 09:18:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:03:33 tlr: 0.0002 tnm: 0.31 Lm: 6.872 (6.829) Lt: 6.162 (6.129) Accm: 2.46 (2.54) Acct: 3.96 (4.01) proj_loss: -0.5554 (-0.5569) time: 0.4906 data: 0.0003
[11-23 09:18:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:03:33 tlr: 0.0002 tnm: 0.31 Lm: 6.761 (6.761) Lt: 6.004 (6.015) Accm: 2.71 (2.78) Acct: 4.42 (4.44) proj_loss: -0.5476 (-0.5455) time: 0.4906 data: 0.0003
[11-23 09:22:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.878 (6.796) Lt: 6.100 (6.064) Accm: 2.64 (2.70) Acct: 4.32 (4.28) proj_loss: -0.5476 (-0.5436) time: 0.4922 data: 0.0019
[11-23 09:22:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:14:07 (0.508 s / it)
[11-23 09:22:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.713 (6.748) Lt: 5.946 (6.055) Accm: 2.63 (2.66) Acct: 4.24 (4.18) proj_loss: -0.5628 (-0.5604) time: 0.4923 data: 0.0016
[11-23 09:22:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.852 (6.804) Lt: 6.137 (6.107) Accm: 2.51 (2.60) Acct: 3.96 (4.14) proj_loss: -0.5545 (-0.5564) time: 0.4922 data: 0.0020
[11-23 09:22:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.715 (6.678) Lt: 6.025 (5.984) Accm: 2.70 (2.80) Acct: 4.13 (4.28) proj_loss: -0.5597 (-0.5629) time: 0.4922 data: 0.0015
[11-23 09:22:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:14:07 (0.508 s / it)
[11-23 09:22:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:14:07 (0.508 s / it)
[11-23 09:22:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:14:07 (0.508 s / it)
[11-23 09:22:05] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.751 (6.752), Lt: 6.035 (6.038), Acc m&t: 2.76 4.33, Remain: 2 days, 15:33:54, Finish: 2024-11-25 08:55
[11-23 09:22:05] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.751 (6.752), Lt: 6.035 (6.038), Acc m&t: 2.76 4.33, Remain: 2 days, 15:32:07, Finish: 2024-11-25 08:54
[11-23 09:22:05] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.751 (6.752), Lt: 6.035 (6.038), Acc m&t: 2.76 4.33, Remain: 2 days, 15:32:39, Finish: 2024-11-25 08:54
[11-23 09:22:05] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.751 (6.752), Lt: 6.035 (6.038), Acc m&t: 2.76 4.33, Remain: 2 days, 15:33:03, Finish: 2024-11-25 08:55
[11-23 09:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:13:11 tlr: 0.0002 tnm: 0.32 Lm: 6.833 (6.833) Lt: 6.090 (6.090) Accm: 2.63 (2.63) Acct: 4.12 (4.12) proj_loss: -0.5498 (-0.5498) time: 0.4740 data: 0.0003
[11-23 09:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:13:11 tlr: 0.0002 tnm: 0.32 Lm: 6.848 (6.848) Lt: 6.178 (6.178) Accm: 2.33 (2.33) Acct: 3.63 (3.63) proj_loss: -0.5169 (-0.5169) time: 0.4744 data: 0.0004
[11-23 09:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:13:11 tlr: 0.0002 tnm: 0.32 Lm: 6.751 (6.751) Lt: 6.072 (6.072) Accm: 2.75 (2.75) Acct: 4.20 (4.20) proj_loss: -0.5323 (-0.5323) time: 0.4744 data: 0.0004
[11-23 09:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:13:11 tlr: 0.0002 tnm: 0.32 Lm: 6.638 (6.638) Lt: 5.883 (5.883) Accm: 2.88 (2.88) Acct: 4.79 (4.79) proj_loss: -0.5593 (-0.5593) time: 0.4744 data: 0.0004
[11-23 09:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.29 Lm: 6.661 (6.661) Lt: 5.898 (5.898) Accm: 2.93 (2.93) Acct: 4.77 (4.77) proj_loss: -0.5477 (-0.5477) time: 0.4879 data: 0.0003
[11-23 09:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.29 Lm: 6.789 (6.789) Lt: 6.091 (6.091) Accm: 2.72 (2.72) Acct: 4.23 (4.23) proj_loss: -0.5379 (-0.5379) time: 0.4880 data: 0.0003
[11-23 09:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.29 Lm: 6.816 (6.816) Lt: 6.145 (6.145) Accm: 2.53 (2.53) Acct: 3.92 (3.92) proj_loss: -0.5382 (-0.5382) time: 0.4880 data: 0.0003
[11-23 09:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.29 Lm: 6.763 (6.763) Lt: 6.038 (6.038) Accm: 2.74 (2.74) Acct: 4.40 (4.40) proj_loss: -0.5465 (-0.5465) time: 0.4880 data: 0.0003
[11-23 09:28:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.30 Lm: 6.830 (6.785) Lt: 6.090 (6.090) Accm: 2.63 (2.62) Acct: 4.12 (4.12) proj_loss: -0.5431 (-0.5446) time: 0.4930 data: 0.0003
[11-23 09:28:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.30 Lm: 6.685 (6.688) Lt: 5.913 (5.936) Accm: 2.90 (2.92) Acct: 4.75 (4.72) proj_loss: -0.5593 (-0.5520) time: 0.4930 data: 0.0003
[11-23 09:28:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.30 Lm: 6.783 (6.791) Lt: 6.112 (6.089) Accm: 2.72 (2.68) Acct: 4.20 (4.21) proj_loss: -0.5524 (-0.5429) time: 0.4930 data: 0.0003
[11-23 09:28:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.30 Lm: 6.824 (6.801) Lt: 6.104 (6.095) Accm: 2.74 (2.72) Acct: 4.25 (4.30) proj_loss: -0.5435 (-0.5464) time: 0.4930 data: 0.0003
[11-23 09:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.792 (6.790) Lt: 6.088 (6.075) Accm: 2.74 (2.76) Acct: 4.35 (4.39) proj_loss: -0.5535 (-0.5518) time: 0.5425 data: 0.0003
[11-23 09:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.795 (6.779) Lt: 6.047 (6.069) Accm: 2.74 (2.72) Acct: 4.40 (4.33) proj_loss: -0.5465 (-0.5485) time: 0.5425 data: 0.0002
[11-23 09:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.763 (6.745) Lt: 6.044 (6.020) Accm: 2.85 (2.79) Acct: 4.49 (4.38) proj_loss: -0.5559 (-0.5487) time: 0.5425 data: 0.0003
[11-23 09:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.712 (6.702) Lt: 5.960 (5.954) Accm: 2.89 (2.87) Acct: 4.69 (4.68) proj_loss: -0.5492 (-0.5488) time: 0.5425 data: 0.0003
[11-23 09:35:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.740 (6.710) Lt: 6.007 (5.972) Accm: 2.88 (2.86) Acct: 4.63 (4.63) proj_loss: -0.5593 (-0.5514) time: 0.4904 data: 0.0021
[11-23 09:35:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:13:49 (0.497 s / it)
[11-23 09:35:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.769 (6.750) Lt: 6.088 (6.033) Accm: 2.72 (2.75) Acct: 4.20 (4.32) proj_loss: -0.5565 (-0.5503) time: 0.4903 data: 0.0019
[11-23 09:35:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.760 (6.775) Lt: 6.058 (6.066) Accm: 2.63 (2.70) Acct: 4.12 (4.21) proj_loss: -0.5498 (-0.5488) time: 0.4903 data: 0.0018
[11-23 09:35:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.824 (6.815) Lt: 6.104 (6.116) Accm: 2.74 (2.66) Acct: 4.25 (4.19) proj_loss: -0.5634 (-0.5543) time: 0.4904 data: 0.0016
[11-23 09:35:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:13:49 (0.497 s / it)
[11-23 09:35:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:13:49 (0.497 s / it)
[11-23 09:35:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:13:49 (0.497 s / it)
[11-23 09:35:55] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.751 (6.756), Lt: 6.035 (6.043), Acc m&t: 2.76 4.33, Remain: 2 days, 15:04:26, Finish: 2024-11-25 08:40
[11-23 09:35:55] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.751 (6.756), Lt: 6.035 (6.043), Acc m&t: 2.76 4.33, Remain: 2 days, 15:04:20, Finish: 2024-11-25 08:40
[11-23 09:35:55] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.751 (6.756), Lt: 6.035 (6.043), Acc m&t: 2.76 4.33, Remain: 2 days, 15:05:40, Finish: 2024-11-25 08:41
[11-23 09:35:55] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.751 (6.756), Lt: 6.035 (6.043), Acc m&t: 2.76 4.33, Remain: 2 days, 15:05:38, Finish: 2024-11-25 08:41
[11-23 09:35:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:12:51 tlr: 0.0002 tnm: 0.30 Lm: 6.658 (6.658) Lt: 5.875 (5.875) Accm: 3.12 (3.12) Acct: 4.94 (4.94) proj_loss: -0.5650 (-0.5650) time: 0.4625 data: 0.0003
[11-23 09:35:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:12:52 tlr: 0.0002 tnm: 0.30 Lm: 6.616 (6.616) Lt: 5.881 (5.881) Accm: 3.33 (3.33) Acct: 5.25 (5.25) proj_loss: -0.5445 (-0.5445) time: 0.4629 data: 0.0004
[11-23 09:35:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:12:51 tlr: 0.0002 tnm: 0.30 Lm: 6.779 (6.779) Lt: 6.104 (6.104) Accm: 2.65 (2.65) Acct: 4.25 (4.25) proj_loss: -0.5743 (-0.5743) time: 0.4625 data: 0.0003
[11-23 09:35:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:12:52 tlr: 0.0002 tnm: 0.30 Lm: 6.858 (6.858) Lt: 6.145 (6.145) Accm: 2.32 (2.32) Acct: 3.53 (3.53) proj_loss: -0.5586 (-0.5586) time: 0.4631 data: 0.0005
[11-23 09:39:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:10:58 tlr: 0.0002 tnm: 0.30 Lm: 6.727 (6.727) Lt: 5.982 (5.982) Accm: 2.74 (2.74) Acct: 4.41 (4.41) proj_loss: -0.5515 (-0.5515) time: 0.4903 data: 0.0003
[11-23 09:39:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:10:58 tlr: 0.0002 tnm: 0.30 Lm: 6.676 (6.676) Lt: 5.932 (5.932) Accm: 3.11 (3.11) Acct: 4.78 (4.78) proj_loss: -0.5597 (-0.5597) time: 0.4903 data: 0.0003
[11-23 09:39:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:10:58 tlr: 0.0002 tnm: 0.30 Lm: 6.750 (6.750) Lt: 6.074 (6.074) Accm: 2.69 (2.69) Acct: 4.29 (4.29) proj_loss: -0.5723 (-0.5723) time: 0.4903 data: 0.0003
[11-23 09:39:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:10:58 tlr: 0.0002 tnm: 0.30 Lm: 6.714 (6.714) Lt: 6.019 (6.019) Accm: 3.03 (3.03) Acct: 4.70 (4.70) proj_loss: -0.5563 (-0.5563) time: 0.4903 data: 0.0003
[11-23 09:43:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:07:08 tlr: 0.0002 tnm: 0.29 Lm: 6.740 (6.723) Lt: 6.062 (6.034) Accm: 2.82 (2.96) Acct: 4.61 (4.67) proj_loss: -0.5651 (-0.5592) time: 0.4911 data: 0.0003
[11-23 09:43:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:07:08 tlr: 0.0002 tnm: 0.29 Lm: 6.721 (6.725) Lt: 6.026 (5.997) Accm: 3.01 (2.83) Acct: 4.75 (4.52) proj_loss: -0.5540 (-0.5523) time: 0.4911 data: 0.0003
[11-23 09:43:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:07:08 tlr: 0.0002 tnm: 0.29 Lm: 6.695 (6.716) Lt: 5.989 (5.982) Accm: 3.10 (2.95) Acct: 4.61 (4.56) proj_loss: -0.5650 (-0.5631) time: 0.4911 data: 0.0003
[11-23 09:43:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:07:08 tlr: 0.0002 tnm: 0.29 Lm: 6.763 (6.754) Lt: 6.044 (6.064) Accm: 2.65 (2.67) Acct: 4.25 (4.28) proj_loss: -0.5704 (-0.5672) time: 0.4911 data: 0.0003
[11-23 09:46:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:03:31 tlr: 0.0002 tnm: 0.31 Lm: 6.771 (6.796) Lt: 6.074 (6.104) Accm: 2.66 (2.67) Acct: 4.27 (4.28) proj_loss: -0.5668 (-0.5662) time: 0.4907 data: 0.0003
[11-23 09:46:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:03:31 tlr: 0.0002 tnm: 0.31 Lm: 6.721 (6.718) Lt: 6.005 (6.012) Accm: 2.78 (2.90) Acct: 4.47 (4.58) proj_loss: -0.5588 (-0.5575) time: 0.4907 data: 0.0003
[11-23 09:46:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:03:31 tlr: 0.0002 tnm: 0.31 Lm: 6.745 (6.750) Lt: 6.035 (6.023) Accm: 2.87 (2.84) Acct: 4.37 (4.40) proj_loss: -0.5615 (-0.5619) time: 0.4907 data: 0.0003
[11-23 09:46:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:03:31 tlr: 0.0002 tnm: 0.31 Lm: 6.721 (6.724) Lt: 5.992 (5.987) Accm: 2.87 (2.81) Acct: 4.43 (4.42) proj_loss: -0.5534 (-0.5525) time: 0.4907 data: 0.0002
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.721 (6.734) Lt: 6.026 (6.002) Accm: 2.74 (2.76) Acct: 4.12 (4.34) proj_loss: -0.5540 (-0.5539) time: 0.4914 data: 0.0016
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:13:57 (0.502 s / it)
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.740 (6.724) Lt: 6.055 (6.021) Accm: 2.82 (2.92) Acct: 4.56 (4.58) proj_loss: -0.5525 (-0.5564) time: 0.4914 data: 0.0016
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.779 (6.806) Lt: 6.104 (6.106) Accm: 2.65 (2.64) Acct: 4.25 (4.19) proj_loss: -0.5632 (-0.5635) time: 0.4914 data: 0.0015
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.786 (6.757) Lt: 6.061 (6.030) Accm: 2.64 (2.79) Acct: 4.18 (4.36) proj_loss: -0.5580 (-0.5570) time: 0.4914 data: 0.0016
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:13:57 (0.502 s / it)
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:13:57 (0.502 s / it)
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:13:57 (0.502 s / it)
[11-23 09:49:53] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.751 (6.760), Lt: 6.035 (6.046), Acc m&t: 2.76 4.33, Remain: 2 days, 15:03:48, Finish: 2024-11-25 08:53
[11-23 09:49:53] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.751 (6.760), Lt: 6.035 (6.046), Acc m&t: 2.76 4.33, Remain: 2 days, 15:05:53, Finish: 2024-11-25 08:55
[11-23 09:49:53] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.751 (6.760), Lt: 6.035 (6.046), Acc m&t: 2.76 4.33, Remain: 2 days, 15:07:27, Finish: 2024-11-25 08:57
[11-23 09:49:53] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.751 (6.760), Lt: 6.035 (6.046), Acc m&t: 2.76 4.33, Remain: 2 days, 15:08:27, Finish: 2024-11-25 08:58
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:13:08 tlr: 0.0002 tnm: 0.32 Lm: 6.807 (6.807) Lt: 6.111 (6.111) Accm: 2.58 (2.58) Acct: 3.96 (3.96) proj_loss: -0.5575 (-0.5575) time: 0.4727 data: 0.0003
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:13:10 tlr: 0.0002 tnm: 0.32 Lm: 6.649 (6.649) Lt: 5.901 (5.901) Accm: 3.15 (3.15) Acct: 5.29 (5.29) proj_loss: -0.5457 (-0.5457) time: 0.4738 data: 0.0003
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:13:10 tlr: 0.0002 tnm: 0.32 Lm: 6.937 (6.937) Lt: 6.264 (6.264) Accm: 2.34 (2.34) Acct: 3.62 (3.62) proj_loss: -0.5527 (-0.5527) time: 0.4735 data: 0.0004
[11-23 09:49:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:13:10 tlr: 0.0002 tnm: 0.32 Lm: 6.752 (6.752) Lt: 6.034 (6.034) Accm: 2.47 (2.47) Acct: 3.81 (3.81) proj_loss: -0.5725 (-0.5725) time: 0.4739 data: 0.0004
[11-23 09:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.33 Lm: 6.685 (6.685) Lt: 5.964 (5.964) Accm: 2.90 (2.90) Acct: 4.53 (4.53) proj_loss: -0.5599 (-0.5599) time: 0.4905 data: 0.0003
[11-23 09:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.33 Lm: 6.829 (6.829) Lt: 6.120 (6.120) Accm: 2.55 (2.55) Acct: 4.13 (4.13) proj_loss: -0.5493 (-0.5493) time: 0.4905 data: 0.0003
[11-23 09:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.33 Lm: 6.699 (6.699) Lt: 5.999 (5.999) Accm: 2.83 (2.83) Acct: 4.45 (4.45) proj_loss: -0.5530 (-0.5530) time: 0.4905 data: 0.0003
[11-23 09:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.33 Lm: 6.613 (6.613) Lt: 5.862 (5.862) Accm: 3.07 (3.07) Acct: 5.00 (5.00) proj_loss: -0.5543 (-0.5543) time: 0.4905 data: 0.0003
[11-23 09:56:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:07:02 tlr: 0.0002 tnm: 0.31 Lm: 6.577 (6.598) Lt: 5.854 (5.859) Accm: 3.15 (3.11) Acct: 4.91 (4.97) proj_loss: -0.5628 (-0.5581) time: 0.4873 data: 0.0003
[11-23 09:56:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:07:02 tlr: 0.0002 tnm: 0.31 Lm: 6.750 (6.706) Lt: 6.001 (5.977) Accm: 2.61 (2.80) Acct: 4.20 (4.42) proj_loss: -0.5607 (-0.5602) time: 0.4873 data: 0.0003
[11-23 09:56:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:07:02 tlr: 0.0002 tnm: 0.31 Lm: 6.721 (6.782) Lt: 5.976 (6.069) Accm: 2.77 (2.65) Acct: 4.60 (4.29) proj_loss: -0.5527 (-0.5586) time: 0.4873 data: 0.0006
[11-23 09:56:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:07:02 tlr: 0.0002 tnm: 0.31 Lm: 6.634 (6.677) Lt: 5.980 (5.993) Accm: 2.85 (2.83) Acct: 4.18 (4.36) proj_loss: -0.5575 (-0.5587) time: 0.4873 data: 0.0002
[11-23 10:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:03:34 tlr: 0.0002 tnm: 0.32 Lm: 6.659 (6.679) Lt: 5.962 (5.981) Accm: 2.91 (2.87) Acct: 4.54 (4.49) proj_loss: -0.5540 (-0.5566) time: 0.5437 data: 0.0002
[11-23 10:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:03:34 tlr: 0.0002 tnm: 0.32 Lm: 6.734 (6.773) Lt: 6.000 (6.057) Accm: 2.68 (2.64) Acct: 4.47 (4.30) proj_loss: -0.5559 (-0.5587) time: 0.5437 data: 0.0003
[11-23 10:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:03:34 tlr: 0.0002 tnm: 0.32 Lm: 6.751 (6.762) Lt: 6.018 (6.058) Accm: 2.54 (2.69) Acct: 4.00 (4.14) proj_loss: -0.5658 (-0.5628) time: 0.5437 data: 0.0003
[11-23 10:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:03:34 tlr: 0.0002 tnm: 0.32 Lm: 6.613 (6.639) Lt: 5.878 (5.901) Accm: 3.07 (2.99) Acct: 4.81 (4.80) proj_loss: -0.5543 (-0.5489) time: 0.5437 data: 0.0003
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.649 (6.667) Lt: 5.901 (5.931) Accm: 2.99 (2.92) Acct: 4.72 (4.62) proj_loss: -0.5457 (-0.5478) time: 0.4915 data: 0.0016
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:14:08 (0.509 s / it)
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.685 (6.714) Lt: 5.980 (6.016) Accm: 2.85 (2.75) Acct: 4.18 (4.32) proj_loss: -0.5506 (-0.5548) time: 0.4915 data: 0.0017
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.752 (6.772) Lt: 6.034 (6.068) Accm: 2.54 (2.66) Acct: 3.86 (4.08) proj_loss: -0.5708 (-0.5666) time: 0.4915 data: 0.0019
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.747 (6.778) Lt: 6.023 (6.072) Accm: 2.62 (2.63) Acct: 4.34 (4.24) proj_loss: -0.5591 (-0.5589) time: 0.4915 data: 0.0021
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:14:08 (0.509 s / it)
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:14:08 (0.509 s / it)
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:14:08 (0.509 s / it)
[11-23 10:04:02] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.750 (6.750), Lt: 6.035 (6.036), Acc m&t: 2.76 4.33, Remain: 2 days, 14:49:58, Finish: 2024-11-25 08:54
[11-23 10:04:02] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.750 (6.750), Lt: 6.035 (6.036), Acc m&t: 2.76 4.33, Remain: 2 days, 14:50:26, Finish: 2024-11-25 08:54
[11-23 10:04:02] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.750 (6.750), Lt: 6.035 (6.036), Acc m&t: 2.76 4.33, Remain: 2 days, 14:50:53, Finish: 2024-11-25 08:54
[11-23 10:04:02] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.750 (6.750), Lt: 6.035 (6.036), Acc m&t: 2.76 4.33, Remain: 2 days, 14:51:02, Finish: 2024-11-25 08:55
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:13:06 tlr: 0.0002 tnm: 0.31 Lm: 6.761 (6.761) Lt: 6.093 (6.093) Accm: 2.61 (2.61) Acct: 4.10 (4.10) proj_loss: -0.5449 (-0.5449) time: 0.4711 data: 0.0003
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:13:06 tlr: 0.0002 tnm: 0.31 Lm: 6.826 (6.826) Lt: 6.138 (6.138) Accm: 2.35 (2.35) Acct: 3.82 (3.82) proj_loss: -0.5704 (-0.5704) time: 0.4710 data: 0.0003
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:13:06 tlr: 0.0002 tnm: 0.31 Lm: 6.706 (6.706) Lt: 5.989 (5.989) Accm: 2.72 (2.72) Acct: 4.27 (4.27) proj_loss: -0.5430 (-0.5430) time: 0.4713 data: 0.0003
[11-23 10:04:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:13:06 tlr: 0.0002 tnm: 0.31 Lm: 6.844 (6.844) Lt: 6.157 (6.157) Accm: 2.44 (2.44) Acct: 3.75 (3.75) proj_loss: -0.5833 (-0.5833) time: 0.4712 data: 0.0004
[11-23 10:07:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.30 Lm: 6.802 (6.802) Lt: 6.093 (6.093) Accm: 2.70 (2.70) Acct: 4.13 (4.13) proj_loss: -0.5728 (-0.5728) time: 0.4927 data: 0.0003
[11-23 10:07:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.30 Lm: 6.744 (6.744) Lt: 6.022 (6.022) Accm: 2.66 (2.66) Acct: 4.25 (4.25) proj_loss: -0.5407 (-0.5407) time: 0.4927 data: 0.0003
[11-23 10:07:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.30 Lm: 6.799 (6.799) Lt: 6.116 (6.116) Accm: 2.45 (2.45) Acct: 3.81 (3.81) proj_loss: -0.5674 (-0.5674) time: 0.4928 data: 0.0003
[11-23 10:07:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.30 Lm: 6.828 (6.828) Lt: 6.156 (6.156) Accm: 2.50 (2.50) Acct: 3.95 (3.95) proj_loss: -0.5484 (-0.5484) time: 0.4928 data: 0.0003
[11-23 10:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.34 Lm: 6.761 (6.768) Lt: 6.093 (6.058) Accm: 2.61 (2.69) Acct: 4.10 (4.31) proj_loss: -0.5519 (-0.5519) time: 0.4914 data: 0.0003
[11-23 10:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.34 Lm: 6.772 (6.785) Lt: 6.094 (6.090) Accm: 2.55 (2.57) Acct: 3.82 (4.02) proj_loss: -0.5704 (-0.5706) time: 0.4914 data: 0.0003
[11-23 10:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.34 Lm: 6.759 (6.733) Lt: 6.029 (6.014) Accm: 2.95 (2.89) Acct: 4.51 (4.53) proj_loss: -0.5638 (-0.5698) time: 0.4914 data: 0.0003
[11-23 10:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.34 Lm: 6.783 (6.758) Lt: 6.056 (6.039) Accm: 2.72 (2.68) Acct: 4.27 (4.36) proj_loss: -0.5430 (-0.5427) time: 0.4914 data: 0.0003
[11-23 10:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:03:26 tlr: 0.0002 tnm: 0.29 Lm: 6.706 (6.710) Lt: 5.978 (5.978) Accm: 2.84 (2.86) Acct: 4.56 (4.57) proj_loss: -0.5507 (-0.5513) time: 0.4904 data: 0.0002
[11-23 10:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:03:26 tlr: 0.0002 tnm: 0.29 Lm: 6.763 (6.754) Lt: 6.026 (6.028) Accm: 2.72 (2.73) Acct: 4.36 (4.38) proj_loss: -0.5449 (-0.5489) time: 0.4904 data: 0.0003
[11-23 10:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:03:26 tlr: 0.0002 tnm: 0.29 Lm: 6.765 (6.775) Lt: 6.066 (6.076) Accm: 2.68 (2.67) Acct: 4.12 (4.16) proj_loss: -0.5674 (-0.5664) time: 0.4904 data: 0.0003
[11-23 10:14:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:03:26 tlr: 0.0002 tnm: 0.29 Lm: 6.704 (6.712) Lt: 5.978 (5.992) Accm: 3.09 (2.98) Acct: 4.81 (4.67) proj_loss: -0.5676 (-0.5702) time: 0.4904 data: 0.0003
[11-23 10:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.730 (6.715) Lt: 6.002 (5.994) Accm: 2.95 (2.92) Acct: 4.51 (4.54) proj_loss: -0.5665 (-0.5695) time: 0.5434 data: 0.0015
[11-23 10:17:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:13:51 (0.498 s / it)
[11-23 10:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.752 (6.754) Lt: 6.014 (6.025) Accm: 2.72 (2.72) Acct: 4.44 (4.40) proj_loss: -0.5468 (-0.5501) time: 0.5434 data: 0.0019
[11-23 10:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.758 (6.746) Lt: 6.039 (6.042) Accm: 2.81 (2.74) Acct: 4.42 (4.26) proj_loss: -0.5645 (-0.5660) time: 0.5434 data: 0.0018
[11-23 10:17:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.724 (6.713) Lt: 6.025 (5.988) Accm: 2.99 (2.89) Acct: 4.61 (4.58) proj_loss: -0.5519 (-0.5550) time: 0.5434 data: 0.0016
[11-23 10:17:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:13:51 (0.498 s / it)
[11-23 10:17:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:13:51 (0.498 s / it)
[11-23 10:17:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:13:51 (0.498 s / it)
[11-23 10:17:53] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.750 (6.750), Lt: 6.033 (6.033), Acc m&t: 2.76 4.33, Remain: 2 days, 14:49:30, Finish: 2024-11-25 09:07
[11-23 10:17:53] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.750 (6.750), Lt: 6.033 (6.033), Acc m&t: 2.76 4.33, Remain: 2 days, 14:49:03, Finish: 2024-11-25 09:06
[11-23 10:17:53] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.750 (6.750), Lt: 6.033 (6.033), Acc m&t: 2.76 4.33, Remain: 2 days, 14:44:52, Finish: 2024-11-25 09:02
[11-23 10:17:53] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.750 (6.750), Lt: 6.033 (6.033), Acc m&t: 2.76 4.33, Remain: 2 days, 14:48:13, Finish: 2024-11-25 09:06
[11-23 10:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:13:39 tlr: 0.0002 tnm: 0.31 Lm: 6.771 (6.771) Lt: 6.056 (6.056) Accm: 2.56 (2.56) Acct: 3.91 (3.91) proj_loss: -0.5654 (-0.5654) time: 0.4909 data: 0.0004
[11-23 10:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:12:40 tlr: 0.0002 tnm: 0.31 Lm: 6.729 (6.729) Lt: 6.048 (6.048) Accm: 2.95 (2.95) Acct: 4.63 (4.63) proj_loss: -0.5609 (-0.5609) time: 0.4558 data: 0.0004
[11-23 10:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:13:39 tlr: 0.0002 tnm: 0.31 Lm: 6.737 (6.737) Lt: 5.987 (5.987) Accm: 2.79 (2.79) Acct: 4.36 (4.36) proj_loss: -0.5413 (-0.5413) time: 0.4909 data: 0.0003
[11-23 10:17:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:13:39 tlr: 0.0002 tnm: 0.31 Lm: 6.884 (6.884) Lt: 6.159 (6.159) Accm: 2.70 (2.70) Acct: 4.53 (4.53) proj_loss: -0.5351 (-0.5351) time: 0.4911 data: 0.0004
[11-23 10:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:11:05 tlr: 0.0002 tnm: 0.30 Lm: 6.778 (6.778) Lt: 6.071 (6.071) Accm: 2.76 (2.76) Acct: 4.43 (4.43) proj_loss: -0.5549 (-0.5549) time: 0.4903 data: 0.0003
[11-23 10:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:11:05 tlr: 0.0002 tnm: 0.30 Lm: 6.774 (6.774) Lt: 6.063 (6.063) Accm: 2.87 (2.87) Acct: 4.61 (4.61) proj_loss: -0.5619 (-0.5619) time: 0.4903 data: 0.0003
[11-23 10:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:11:05 tlr: 0.0002 tnm: 0.30 Lm: 6.688 (6.688) Lt: 5.943 (5.943) Accm: 3.07 (3.07) Acct: 4.66 (4.66) proj_loss: -0.5493 (-0.5493) time: 0.4903 data: 0.0003
[11-23 10:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:11:05 tlr: 0.0002 tnm: 0.30 Lm: 6.776 (6.776) Lt: 6.054 (6.054) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: -0.5602 (-0.5602) time: 0.4903 data: 0.0003
[11-23 10:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:07:06 tlr: 0.0002 tnm: 0.30 Lm: 6.781 (6.816) Lt: 6.056 (6.112) Accm: 2.56 (2.51) Acct: 3.91 (3.94) proj_loss: -0.5551 (-0.5577) time: 0.4952 data: 0.0003
[11-23 10:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:07:06 tlr: 0.0002 tnm: 0.30 Lm: 6.746 (6.764) Lt: 6.069 (6.065) Accm: 2.80 (2.77) Acct: 4.58 (4.49) proj_loss: -0.5630 (-0.5704) time: 0.4952 data: 0.0003
[11-23 10:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:07:06 tlr: 0.0002 tnm: 0.30 Lm: 6.690 (6.688) Lt: 5.951 (5.945) Accm: 2.79 (2.96) Acct: 4.36 (4.48) proj_loss: -0.5574 (-0.5540) time: 0.4952 data: 0.0003
[11-23 10:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:07:06 tlr: 0.0002 tnm: 0.30 Lm: 6.706 (6.754) Lt: 5.984 (6.033) Accm: 2.83 (2.82) Acct: 4.44 (4.44) proj_loss: -0.5585 (-0.5561) time: 0.4952 data: 0.0003
[11-23 10:28:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:03:30 tlr: 0.0002 tnm: 0.31 Lm: 6.722 (6.750) Lt: 6.036 (6.047) Accm: 2.76 (2.77) Acct: 4.39 (4.28) proj_loss: -0.5529 (-0.5539) time: 0.4947 data: 0.0003
[11-23 10:28:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:03:30 tlr: 0.0002 tnm: 0.31 Lm: 6.815 (6.824) Lt: 6.121 (6.130) Accm: 2.47 (2.48) Acct: 3.76 (3.86) proj_loss: -0.5589 (-0.5589) time: 0.4947 data: 0.0003
[11-23 10:28:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:03:30 tlr: 0.0002 tnm: 0.31 Lm: 6.703 (6.695) Lt: 5.944 (5.943) Accm: 2.88 (2.96) Acct: 4.58 (4.56) proj_loss: -0.5587 (-0.5555) time: 0.4947 data: 0.0003
[11-23 10:28:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:03:30 tlr: 0.0002 tnm: 0.31 Lm: 6.737 (6.744) Lt: 6.059 (6.041) Accm: 2.86 (2.81) Acct: 4.57 (4.51) proj_loss: -0.5627 (-0.5684) time: 0.4947 data: 0.0002
[11-23 10:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.729 (6.740) Lt: 6.048 (6.026) Accm: 2.93 (2.85) Acct: 4.58 (4.57) proj_loss: -0.5630 (-0.5685) time: 0.4927 data: 0.0017
[11-23 10:31:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:13:57 (0.501 s / it)
[11-23 10:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.737 (6.757) Lt: 6.088 (6.055) Accm: 2.70 (2.74) Acct: 4.34 (4.22) proj_loss: -0.5585 (-0.5560) time: 0.4927 data: 0.0016
[11-23 10:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.826 (6.824) Lt: 6.158 (6.136) Accm: 2.56 (2.54) Acct: 3.91 (3.91) proj_loss: -0.5626 (-0.5631) time: 0.4927 data: 0.0019
[11-23 10:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.690 (6.690) Lt: 5.951 (5.953) Accm: 2.94 (2.96) Acct: 4.48 (4.54) proj_loss: -0.5574 (-0.5542) time: 0.4927 data: 0.0018
[11-23 10:31:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:13:57 (0.502 s / it)
[11-23 10:31:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:13:57 (0.502 s / it)
[11-23 10:31:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:13:57 (0.502 s / it)
[11-23 10:31:50] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.750 (6.758), Lt: 6.033 (6.046), Acc m&t: 2.76 4.33, Remain: 2 days, 14:28:19, Finish: 2024-11-25 09:00
[11-23 10:31:50] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.750 (6.758), Lt: 6.033 (6.046), Acc m&t: 2.76 4.33, Remain: 2 days, 14:30:06, Finish: 2024-11-25 09:01
[11-23 10:31:50] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.750 (6.758), Lt: 6.033 (6.046), Acc m&t: 2.76 4.33, Remain: 2 days, 14:29:50, Finish: 2024-11-25 09:01
[11-23 10:31:50] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.750 (6.758), Lt: 6.033 (6.046), Acc m&t: 2.76 4.33, Remain: 2 days, 14:28:37, Finish: 2024-11-25 09:00
[11-23 10:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:13:25 tlr: 0.0002 tnm: 0.33 Lm: 6.972 (6.972) Lt: 6.295 (6.295) Accm: 1.91 (1.91) Acct: 3.00 (3.00) proj_loss: -0.5435 (-0.5435) time: 0.4823 data: 0.0005
[11-23 10:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:13:25 tlr: 0.0002 tnm: 0.33 Lm: 6.688 (6.688) Lt: 6.013 (6.013) Accm: 2.65 (2.65) Acct: 3.75 (3.75) proj_loss: -0.5796 (-0.5796) time: 0.4828 data: 0.0004
[11-23 10:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:13:31 tlr: 0.0002 tnm: 0.33 Lm: 6.842 (6.842) Lt: 6.170 (6.170) Accm: 2.59 (2.59) Acct: 3.74 (3.74) proj_loss: -0.5683 (-0.5683) time: 0.4860 data: 0.0003
[11-23 10:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:13:32 tlr: 0.0002 tnm: 0.33 Lm: 6.710 (6.710) Lt: 5.972 (5.972) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: -0.5381 (-0.5381) time: 0.4865 data: 0.0004
[11-23 10:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:10:15 tlr: 0.0002 tnm: 0.29 Lm: 6.760 (6.760) Lt: 6.046 (6.046) Accm: 2.75 (2.75) Acct: 4.38 (4.38) proj_loss: -0.5526 (-0.5526) time: 0.4925 data: 0.0003
[11-23 10:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:10:15 tlr: 0.0002 tnm: 0.29 Lm: 6.822 (6.822) Lt: 6.117 (6.117) Accm: 2.64 (2.64) Acct: 3.99 (3.99) proj_loss: -0.5663 (-0.5663) time: 0.4925 data: 0.0003
[11-23 10:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:10:15 tlr: 0.0002 tnm: 0.29 Lm: 6.863 (6.863) Lt: 6.174 (6.174) Accm: 2.28 (2.28) Acct: 3.57 (3.57) proj_loss: -0.5500 (-0.5500) time: 0.4925 data: 0.0003
[11-23 10:35:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:10:15 tlr: 0.0002 tnm: 0.29 Lm: 6.718 (6.718) Lt: 6.002 (6.002) Accm: 2.63 (2.63) Acct: 3.96 (3.96) proj_loss: -0.5674 (-0.5674) time: 0.4925 data: 0.0003
======================================================= RESTART [11-23 12:19:12] =======================================================
======================================================= RESTART [11-23 12:19:12] =======================================================
======================================================= RESTART [11-23 12:19:12] =======================================================
======================================================= RESTART [11-23 12:19:12] =======================================================
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-23 12:19:48] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-23 12:19:48] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
branch : main
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
commit_msg : add
}
[11-23 12:19:48] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f7052b9f370>
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f7052b9f370>
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-23 12:19:51] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-best.pth ...
[11-23 12:19:51] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep70, it0
[11-23 12:19:51] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-23 12:19:48] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-23 12:19:48] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
commit_msg : add
branch : main
}
[11-23 12:19:48] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f0e70a2b370>
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f0e70a2b370>
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-23 12:19:51] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-best.pth ...
[11-23 12:19:51] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep70, it0
[11-23 12:19:51] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-23 12:19:48] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-23 12:19:48] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
branch : main
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
}
[11-23 12:19:48] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fb47e96b370>
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fb47e96b370>
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-23 12:19:51] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-best.pth ...
[11-23 12:19:51] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep70, it0
[11-23 12:19:51] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-23 12:19:12] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-23 12:19:48] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-23 12:19:48] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
commit_msg : add
branch : main
}
[11-23 12:19:48] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f2504c17370>
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f2504c17370>
[11-23 12:19:51] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-23 12:19:51] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-best.pth ...
[11-23 12:19:51] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep70, it0
[11-23 12:19:51] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ... [dataloader multi processing](*) finished! (46.39s)
[dataloader multi processing](*) finished! (49.04s)
[11-23 12:20:38] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[dataloader multi processing](*) finished! (50.56s)
[dataloader multi processing](*) finished! (53.12s)
[11-23 12:20:40] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-23 12:20:45] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-23 12:20:45] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-23 12:20:46] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-23 12:20:45] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-23 12:20:45] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-23 12:20:46] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-23 12:20:42] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-23 12:20:45] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-23 12:20:45] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-23 12:20:48] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-23 12:20:44] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-23 12:20:51] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-23 12:20:51] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-23 12:20:52] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-23 12:20:49] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-23 12:21:13] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-23 12:21:13] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-23 12:21:13] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-23 12:21:13] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-23 12:21:13] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank0] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-23 12:20:47] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-23 12:21:13] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-23 12:21:13] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-23 12:21:13] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-23 12:21:13] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-23 12:21:13] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank8] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-23 12:20:53] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-23 12:21:13] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-23 12:21:13] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-23 12:21:13] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-23 12:21:13] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-23 12:21:13] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank16] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-23 12:20:47] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-23 12:21:13] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-23 12:21:13] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-23 12:21:13] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-23 12:21:13] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-23 12:21:14] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank24] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-23 12:21:14] (/VAR/utils/lr_control.py, line 105)=>
[11-23 12:21:14] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-23 12:21:15] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-23 12:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 16 days, 4:59:31 tlr: 0.00021 tnm: 0.29 Lm: 6.806 (6.806) Lt: 6.101 (6.101) Accm: 2.59 (2.59) Acct: 4.08 (4.08) proj_loss: -0.5389 (-0.5389) time: 839.0485 data: 0.0007
[11-23 12:21:14] (/VAR/utils/lr_control.py, line 105)=>
[11-23 12:21:14] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-23 12:21:14] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-23 12:21:14] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-23 12:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 16 days, 5:01:19 tlr: 0.00021 tnm: 0.29 Lm: 6.802 (6.802) Lt: 6.072 (6.072) Accm: 2.67 (2.67) Acct: 4.48 (4.48) proj_loss: -0.5504 (-0.5504) time: 839.1130 data: 0.0008
[11-23 12:21:14] (/VAR/utils/lr_control.py, line 105)=>
[11-23 12:21:14] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-23 12:21:15] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-23 12:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 16 days, 4:30:58 tlr: 0.00021 tnm: 0.29 Lm: 6.700 (6.700) Lt: 5.982 (5.982) Accm: 2.71 (2.71) Acct: 4.13 (4.13) proj_loss: -0.5319 (-0.5319) time: 838.0218 data: 0.0006
[11-23 12:21:14] (/VAR/utils/lr_control.py, line 105)=>
[11-23 12:21:14] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-23 12:21:15] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-23 12:21:15] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-23 12:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 16 days, 4:55:55 tlr: 0.00021 tnm: 0.29 Lm: 6.804 (6.804) Lt: 6.125 (6.125) Accm: 2.59 (2.59) Acct: 4.22 (4.22) proj_loss: -0.5609 (-0.5609) time: 838.9186 data: 0.0007
[11-23 12:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 1:04:45 tlr: 0.00021 tnm: 0.30 Lm: 6.846 (6.846) Lt: 6.171 (6.171) Accm: 2.44 (2.44) Acct: 3.83 (3.83) proj_loss: -0.5559 (-0.5559) time: 0.4871 data: 0.0003
[11-23 12:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 1:04:46 tlr: 0.00021 tnm: 0.30 Lm: 6.830 (6.830) Lt: 6.113 (6.113) Accm: 2.76 (2.76) Acct: 4.52 (4.52) proj_loss: -0.5472 (-0.5472) time: 0.4871 data: 0.0003
[11-23 12:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 1:04:46 tlr: 0.00021 tnm: 0.30 Lm: 6.804 (6.804) Lt: 6.118 (6.118) Accm: 2.53 (2.53) Acct: 3.91 (3.91) proj_loss: -0.5441 (-0.5441) time: 0.4871 data: 0.0003
[11-23 12:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 1:04:43 tlr: 0.00021 tnm: 0.30 Lm: 6.728 (6.728) Lt: 6.002 (6.002) Accm: 2.74 (2.74) Acct: 4.24 (4.24) proj_loss: -0.5558 (-0.5558) time: 0.4871 data: 0.0003
[11-23 12:46:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:24:59 tlr: 0.00021 tnm: 0.30 Lm: 6.718 (6.725) Lt: 6.001 (6.002) Accm: 2.78 (2.76) Acct: 4.34 (4.29) proj_loss: -0.5636 (-0.5584) time: 0.4836 data: 0.0003
[11-23 12:46:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:25:00 tlr: 0.00021 tnm: 0.30 Lm: 6.858 (6.850) Lt: 6.154 (6.165) Accm: 2.59 (2.52) Acct: 4.20 (3.95) proj_loss: -0.5508 (-0.5509) time: 0.4836 data: 0.0003
[11-23 12:46:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:25:00 tlr: 0.00021 tnm: 0.30 Lm: 6.802 (6.805) Lt: 6.107 (6.111) Accm: 2.67 (2.70) Acct: 4.48 (4.33) proj_loss: -0.5504 (-0.5535) time: 0.4836 data: 0.0003
[11-23 12:46:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:25:00 tlr: 0.00021 tnm: 0.30 Lm: 6.806 (6.806) Lt: 6.136 (6.127) Accm: 2.48 (2.47) Acct: 3.74 (3.83) proj_loss: -0.5389 (-0.5414) time: 0.4836 data: 0.0003
[11-23 12:49:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:09:28 tlr: 0.00021 tnm: 0.30 Lm: 6.804 (6.750) Lt: 6.118 (6.055) Accm: 2.53 (2.69) Acct: 3.91 (4.15) proj_loss: -0.5441 (-0.5471) time: 0.4837 data: 0.0003
[11-23 12:49:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:09:28 tlr: 0.00021 tnm: 0.30 Lm: 6.830 (6.818) Lt: 6.130 (6.125) Accm: 2.64 (2.64) Acct: 4.22 (4.24) proj_loss: -0.5472 (-0.5508) time: 0.4837 data: 0.0003
[11-23 12:49:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:09:28 tlr: 0.00021 tnm: 0.30 Lm: 6.831 (6.832) Lt: 6.139 (6.146) Accm: 2.63 (2.55) Acct: 4.21 (4.03) proj_loss: -0.5486 (-0.5498) time: 0.4837 data: 0.0003
[11-23 12:49:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:09:28 tlr: 0.00021 tnm: 0.30 Lm: 6.737 (6.751) Lt: 6.012 (6.036) Accm: 2.74 (2.66) Acct: 4.24 (4.13) proj_loss: -0.5528 (-0.5543) time: 0.4837 data: 0.0002
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:01 tlr: 0.00021 tnm: 0.32 Lm: 6.725 (6.746) Lt: 6.001 (6.028) Accm: 2.78 (2.71) Acct: 4.34 (4.23) proj_loss: -0.5560 (-0.5546) time: 0.4886 data: 0.0016
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:01 tlr: 0.00021 tnm: 0.32 Lm: 6.853 (6.825) Lt: 6.154 (6.134) Accm: 2.60 (2.62) Acct: 4.20 (4.23) proj_loss: -0.5504 (-0.5535) time: 0.4886 data: 0.0015
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:01 tlr: 0.00021 tnm: 0.32 Lm: 6.803 (6.735) Lt: 6.101 (6.015) Accm: 2.59 (2.75) Acct: 4.08 (4.31) proj_loss: -0.5419 (-0.5460) time: 0.4886 data: 0.0015
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:31:44 (1.141 s / it)
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:01 tlr: 0.00021 tnm: 0.32 Lm: 6.804 (6.824) Lt: 6.125 (6.129) Accm: 2.65 (2.57) Acct: 4.20 (4.06) proj_loss: -0.5465 (-0.5479) time: 0.4886 data: 0.0017
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:31:45 (1.142 s / it)
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:31:45 (1.142 s / it)
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:31:45 (1.141 s / it)
[11-23 12:53:06] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.763 (6.763), Lt: 6.056 (6.056), Acc m&t: 2.71 4.25, Remain: 2 days, 15:54:24, Finish: 2024-11-25 12:47
[11-23 12:53:06] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.763 (6.763), Lt: 6.056 (6.056), Acc m&t: 2.71 4.25, Remain: 2 days, 15:55:11, Finish: 2024-11-25 12:48
[11-23 12:53:06] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.763 (6.763), Lt: 6.056 (6.056), Acc m&t: 2.71 4.25, Remain: 2 days, 15:55:20, Finish: 2024-11-25 12:48
[11-23 12:53:06] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.763 (6.763), Lt: 6.056 (6.056), Acc m&t: 2.71 4.25, Remain: 2 days, 15:55:16, Finish: 2024-11-25 12:48
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:12:40 tlr: 0.00021 tnm: 0.30 Lm: 6.663 (6.663) Lt: 5.938 (5.938) Accm: 3.10 (3.10) Acct: 4.86 (4.86) proj_loss: -0.5405 (-0.5405) time: 0.4558 data: 0.0003
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:12:41 tlr: 0.00021 tnm: 0.30 Lm: 6.584 (6.584) Lt: 5.806 (5.806) Accm: 3.13 (3.13) Acct: 4.87 (4.87) proj_loss: -0.5462 (-0.5462) time: 0.4565 data: 0.0004
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:12:42 tlr: 0.00021 tnm: 0.30 Lm: 6.631 (6.631) Lt: 5.873 (5.873) Accm: 2.98 (2.98) Acct: 4.67 (4.67) proj_loss: -0.5576 (-0.5576) time: 0.4570 data: 0.0004
[11-23 12:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:12:39 tlr: 0.00021 tnm: 0.30 Lm: 6.785 (6.785) Lt: 6.087 (6.087) Accm: 2.62 (2.62) Acct: 4.01 (4.01) proj_loss: -0.5378 (-0.5378) time: 0.4554 data: 0.0003
[11-23 12:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:10:09 tlr: 0.00021 tnm: 0.30 Lm: 6.826 (6.826) Lt: 6.131 (6.131) Accm: 2.53 (2.53) Acct: 4.05 (4.05) proj_loss: -0.5356 (-0.5356) time: 0.4853 data: 0.0002
[11-23 12:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:10:09 tlr: 0.00021 tnm: 0.30 Lm: 6.656 (6.656) Lt: 5.899 (5.899) Accm: 2.98 (2.98) Acct: 4.82 (4.82) proj_loss: -0.5433 (-0.5433) time: 0.4852 data: 0.0003
[11-23 12:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:10:09 tlr: 0.00021 tnm: 0.30 Lm: 6.710 (6.710) Lt: 5.970 (5.970) Accm: 3.01 (3.01) Acct: 4.66 (4.66) proj_loss: -0.5475 (-0.5475) time: 0.4852 data: 0.0003
[11-23 12:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:10:09 tlr: 0.00021 tnm: 0.30 Lm: 6.688 (6.688) Lt: 5.956 (5.956) Accm: 2.86 (2.86) Acct: 4.47 (4.47) proj_loss: -0.5430 (-0.5430) time: 0.4852 data: 0.0003
[11-23 12:59:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:06:51 tlr: 0.00021 tnm: 0.30 Lm: 6.703 (6.693) Lt: 5.995 (5.969) Accm: 2.94 (2.88) Acct: 4.61 (4.52) proj_loss: -0.5458 (-0.5440) time: 0.4789 data: 0.0002
[11-23 12:59:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:06:51 tlr: 0.00021 tnm: 0.30 Lm: 6.785 (6.811) Lt: 6.087 (6.108) Accm: 2.62 (2.59) Acct: 4.10 (4.10) proj_loss: -0.5378 (-0.5423) time: 0.4789 data: 0.0002
[11-23 12:59:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:06:51 tlr: 0.00021 tnm: 0.30 Lm: 6.715 (6.676) Lt: 5.951 (5.916) Accm: 2.82 (2.90) Acct: 4.77 (4.65) proj_loss: -0.5404 (-0.5423) time: 0.4789 data: 0.0003
[11-23 12:59:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:06:51 tlr: 0.00021 tnm: 0.30 Lm: 6.745 (6.722) Lt: 6.002 (5.994) Accm: 2.93 (2.91) Acct: 4.46 (4.47) proj_loss: -0.5454 (-0.5468) time: 0.4790 data: 0.0003
[11-23 13:03:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.31 Lm: 6.704 (6.696) Lt: 5.970 (5.966) Accm: 3.01 (2.98) Acct: 4.66 (4.57) proj_loss: -0.5500 (-0.5548) time: 0.4898 data: 0.0002
[11-23 13:03:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.31 Lm: 6.826 (6.829) Lt: 6.131 (6.129) Accm: 2.53 (2.54) Acct: 4.05 (3.99) proj_loss: -0.5361 (-0.5403) time: 0.4898 data: 0.0002
[11-23 13:03:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.31 Lm: 6.724 (6.719) Lt: 6.017 (6.004) Accm: 2.84 (2.79) Acct: 4.44 (4.29) proj_loss: -0.5418 (-0.5424) time: 0.4898 data: 0.0002
[11-23 13:03:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:03:24 tlr: 0.00021 tnm: 0.31 Lm: 6.709 (6.682) Lt: 5.960 (5.929) Accm: 2.84 (2.89) Acct: 4.65 (4.62) proj_loss: -0.5404 (-0.5401) time: 0.4898 data: 0.0002
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.715 (6.689) Lt: 5.969 (5.963) Accm: 2.82 (2.84) Acct: 4.53 (4.48) proj_loss: -0.5404 (-0.5501) time: 0.4867 data: 0.0016
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:13:35 (0.489 s / it)
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.785 (6.819) Lt: 6.087 (6.105) Accm: 2.62 (2.56) Acct: 4.10 (4.02) proj_loss: -0.5378 (-0.5408) time: 0.4867 data: 0.0017
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.745 (6.722) Lt: 6.002 (5.992) Accm: 2.93 (2.95) Acct: 4.46 (4.52) proj_loss: -0.5475 (-0.5533) time: 0.4867 data: 0.0016
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.744 (6.730) Lt: 6.038 (6.018) Accm: 2.82 (2.80) Acct: 4.27 (4.28) proj_loss: -0.5458 (-0.5479) time: 0.4867 data: 0.0016
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:13:35 (0.489 s / it)
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:13:35 (0.489 s / it)
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:13:35 (0.489 s / it)
[11-23 13:06:42] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.751 (6.751), Lt: 6.033 (6.033), Acc m&t: 2.76 4.37, Remain: 2 days, 15:25:23, Finish: 2024-11-25 12:32
[11-23 13:06:42] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.751 (6.751), Lt: 6.033 (6.033), Acc m&t: 2.76 4.37, Remain: 2 days, 15:27:12, Finish: 2024-11-25 12:33
[11-23 13:06:42] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.751 (6.751), Lt: 6.033 (6.033), Acc m&t: 2.76 4.37, Remain: 2 days, 15:26:44, Finish: 2024-11-25 12:33
[11-23 13:06:42] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.751 (6.751), Lt: 6.033 (6.033), Acc m&t: 2.76 4.37, Remain: 2 days, 15:26:18, Finish: 2024-11-25 12:33
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:12:53 tlr: 0.00021 tnm: 0.31 Lm: 6.696 (6.696) Lt: 5.952 (5.952) Accm: 2.91 (2.91) Acct: 4.86 (4.86) proj_loss: -0.5257 (-0.5257) time: 0.4635 data: 0.0003
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:12:53 tlr: 0.00021 tnm: 0.31 Lm: 6.726 (6.726) Lt: 6.027 (6.027) Accm: 2.79 (2.79) Acct: 4.39 (4.39) proj_loss: -0.5392 (-0.5392) time: 0.4637 data: 0.0003
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:12:54 tlr: 0.00021 tnm: 0.31 Lm: 6.673 (6.673) Lt: 5.979 (5.979) Accm: 2.80 (2.80) Acct: 4.36 (4.36) proj_loss: -0.5425 (-0.5425) time: 0.4640 data: 0.0003
[11-23 13:06:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:12:54 tlr: 0.00021 tnm: 0.31 Lm: 6.621 (6.621) Lt: 5.910 (5.910) Accm: 2.94 (2.94) Acct: 4.70 (4.70) proj_loss: -0.5595 (-0.5595) time: 0.4640 data: 0.0003
[11-23 13:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:10:07 tlr: 0.0002 tnm: 0.30 Lm: 6.738 (6.738) Lt: 6.048 (6.048) Accm: 2.72 (2.72) Acct: 4.32 (4.32) proj_loss: -0.5546 (-0.5546) time: 0.4869 data: 0.0003
[11-23 13:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:10:07 tlr: 0.0002 tnm: 0.30 Lm: 6.737 (6.737) Lt: 5.990 (5.990) Accm: 2.81 (2.81) Acct: 4.65 (4.65) proj_loss: -0.5356 (-0.5356) time: 0.4868 data: 0.0003
[11-23 13:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:10:07 tlr: 0.0002 tnm: 0.30 Lm: 6.716 (6.716) Lt: 6.029 (6.029) Accm: 2.79 (2.79) Acct: 4.26 (4.26) proj_loss: -0.5417 (-0.5417) time: 0.4868 data: 0.0003
[11-23 13:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:10:07 tlr: 0.0002 tnm: 0.30 Lm: 6.701 (6.701) Lt: 5.997 (5.997) Accm: 2.88 (2.88) Acct: 4.51 (4.51) proj_loss: -0.5427 (-0.5427) time: 0.4868 data: 0.0002
[11-23 13:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:06:52 tlr: 0.0002 tnm: 0.31 Lm: 6.729 (6.765) Lt: 6.014 (6.095) Accm: 2.80 (2.63) Acct: 4.36 (4.10) proj_loss: -0.5429 (-0.5470) time: 0.5332 data: 0.0002
[11-23 13:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:06:52 tlr: 0.0002 tnm: 0.31 Lm: 6.726 (6.778) Lt: 6.030 (6.099) Accm: 2.78 (2.68) Acct: 4.13 (4.18) proj_loss: -0.5442 (-0.5462) time: 0.5332 data: 0.0003
[11-23 13:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:06:52 tlr: 0.0002 tnm: 0.31 Lm: 6.855 (6.792) Lt: 6.185 (6.100) Accm: 2.50 (2.57) Acct: 3.94 (4.14) proj_loss: -0.5595 (-0.5588) time: 0.5332 data: 0.0003
[11-23 13:13:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:06:52 tlr: 0.0002 tnm: 0.31 Lm: 6.778 (6.774) Lt: 6.029 (6.072) Accm: 2.71 (2.78) Acct: 4.44 (4.42) proj_loss: -0.5456 (-0.5478) time: 0.5332 data: 0.0003
[11-23 13:16:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.737 (6.754) Lt: 5.990 (6.030) Accm: 2.81 (2.81) Acct: 4.64 (4.52) proj_loss: -0.5472 (-0.5481) time: 0.4836 data: 0.0003
[11-23 13:16:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.759 (6.771) Lt: 6.080 (6.108) Accm: 2.62 (2.58) Acct: 4.02 (4.00) proj_loss: -0.5493 (-0.5493) time: 0.4836 data: 0.0002
[11-23 13:16:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.753 (6.778) Lt: 6.055 (6.095) Accm: 2.76 (2.69) Acct: 4.23 (4.22) proj_loss: -0.5497 (-0.5534) time: 0.4836 data: 0.0003
[11-23 13:16:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.776 (6.768) Lt: 6.104 (6.081) Accm: 2.72 (2.69) Acct: 4.18 (4.21) proj_loss: -0.5599 (-0.5592) time: 0.4836 data: 0.0002
[11-23 13:20:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.726 (6.756) Lt: 6.030 (6.059) Accm: 2.78 (2.72) Acct: 4.32 (4.28) proj_loss: -0.5442 (-0.5507) time: 0.4859 data: 0.0020
[11-23 13:20:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.783 (6.774) Lt: 6.038 (6.094) Accm: 2.80 (2.63) Acct: 4.36 (4.13) proj_loss: -0.5556 (-0.5522) time: 0.4859 data: 0.0016
[11-23 13:20:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.696 (6.723) Lt: 5.952 (5.996) Accm: 2.91 (2.91) Acct: 4.84 (4.65) proj_loss: -0.5488 (-0.5519) time: 0.4859 data: 0.0017
[11-23 13:20:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.781 (6.771) Lt: 6.084 (6.081) Accm: 2.83 (2.72) Acct: 4.37 (4.24) proj_loss: -0.5595 (-0.5588) time: 0.4860 data: 0.0015
[11-23 13:20:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:13:38 (0.490 s / it)
[11-23 13:20:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:13:38 (0.490 s / it)
[11-23 13:20:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:13:38 (0.490 s / it)
[11-23 13:20:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:13:38 (0.490 s / it)
[11-23 13:20:20] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.751 (6.758), Lt: 6.033 (6.052), Acc m&t: 2.76 4.37, Remain: 2 days, 15:20:53, Finish: 2024-11-25 12:41
[11-23 13:20:20] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.751 (6.758), Lt: 6.033 (6.052), Acc m&t: 2.76 4.37, Remain: 2 days, 15:20:26, Finish: 2024-11-25 12:40
[11-23 13:20:20] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.751 (6.758), Lt: 6.033 (6.052), Acc m&t: 2.76 4.37, Remain: 2 days, 15:19:52, Finish: 2024-11-25 12:40
[11-23 13:20:20] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.751 (6.758), Lt: 6.033 (6.052), Acc m&t: 2.76 4.37, Remain: 2 days, 15:21:41, Finish: 2024-11-25 12:42
[11-23 13:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:13:07 tlr: 0.0002 tnm: 0.32 Lm: 6.809 (6.809) Lt: 6.081 (6.081) Accm: 2.58 (2.58) Acct: 3.99 (3.99) proj_loss: -0.5503 (-0.5503) time: 0.4719 data: 0.0003
[11-23 13:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:13:07 tlr: 0.0002 tnm: 0.32 Lm: 6.669 (6.669) Lt: 5.938 (5.938) Accm: 3.13 (3.13) Acct: 4.63 (4.63) proj_loss: -0.5432 (-0.5432) time: 0.4721 data: 0.0004
[11-23 13:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:13:08 tlr: 0.0002 tnm: 0.32 Lm: 6.541 (6.541) Lt: 5.776 (5.776) Accm: 3.35 (3.35) Acct: 5.46 (5.46) proj_loss: -0.5460 (-0.5460) time: 0.4723 data: 0.0003
[11-23 13:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:13:07 tlr: 0.0002 tnm: 0.32 Lm: 6.925 (6.925) Lt: 6.242 (6.242) Accm: 2.11 (2.11) Acct: 3.46 (3.46) proj_loss: -0.5627 (-0.5627) time: 0.4718 data: 0.0004
[11-23 13:23:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:10:08 tlr: 0.0002 tnm: 0.32 Lm: 6.763 (6.763) Lt: 6.021 (6.021) Accm: 2.57 (2.57) Acct: 4.17 (4.17) proj_loss: -0.5554 (-0.5554) time: 0.4860 data: 0.0003
[11-23 13:23:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:10:08 tlr: 0.0002 tnm: 0.32 Lm: 6.780 (6.780) Lt: 6.059 (6.059) Accm: 2.71 (2.71) Acct: 4.16 (4.16) proj_loss: -0.5477 (-0.5477) time: 0.4860 data: 0.0003
[11-23 13:23:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:10:08 tlr: 0.0002 tnm: 0.32 Lm: 6.646 (6.646) Lt: 5.916 (5.916) Accm: 3.16 (3.16) Acct: 5.11 (5.11) proj_loss: -0.5496 (-0.5496) time: 0.4860 data: 0.0003
[11-23 13:23:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:10:08 tlr: 0.0002 tnm: 0.32 Lm: 6.696 (6.696) Lt: 5.964 (5.964) Accm: 2.82 (2.82) Acct: 4.45 (4.45) proj_loss: -0.5563 (-0.5563) time: 0.4860 data: 0.0003
[11-23 13:27:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.30 Lm: 6.722 (6.705) Lt: 5.963 (5.964) Accm: 2.87 (2.83) Acct: 4.42 (4.44) proj_loss: -0.5503 (-0.5511) time: 0.4880 data: 0.0002
[11-23 13:27:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.30 Lm: 6.685 (6.659) Lt: 6.046 (5.959) Accm: 2.96 (3.02) Acct: 4.75 (4.69) proj_loss: -0.5531 (-0.5514) time: 0.4880 data: 0.0002
[11-23 13:27:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.30 Lm: 6.717 (6.748) Lt: 6.044 (6.029) Accm: 2.77 (2.64) Acct: 4.15 (4.16) proj_loss: -0.5481 (-0.5523) time: 0.4880 data: 0.0003
[11-23 13:27:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.30 Lm: 6.859 (6.806) Lt: 6.167 (6.095) Accm: 2.43 (2.61) Acct: 3.89 (4.07) proj_loss: -0.5522 (-0.5573) time: 0.4881 data: 0.0003
[11-23 13:30:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.31 Lm: 6.868 (6.824) Lt: 6.172 (6.116) Accm: 2.55 (2.63) Acct: 4.10 (4.13) proj_loss: -0.5598 (-0.5598) time: 0.4904 data: 0.0003
[11-23 13:30:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.31 Lm: 6.796 (6.780) Lt: 6.088 (6.055) Accm: 2.76 (2.66) Acct: 4.16 (4.16) proj_loss: -0.5471 (-0.5478) time: 0.4904 data: 0.0003
[11-23 13:30:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.31 Lm: 6.679 (6.662) Lt: 6.009 (5.963) Accm: 2.95 (3.00) Acct: 4.65 (4.65) proj_loss: -0.5540 (-0.5532) time: 0.4904 data: 0.0002
[11-23 13:30:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.31 Lm: 6.765 (6.773) Lt: 6.022 (6.057) Accm: 2.72 (2.72) Acct: 4.21 (4.29) proj_loss: -0.5563 (-0.5558) time: 0.4904 data: 0.0002
[11-23 13:34:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.722 (6.760) Lt: 5.967 (6.039) Accm: 2.65 (2.70) Acct: 4.12 (4.25) proj_loss: -0.5549 (-0.5556) time: 0.4878 data: 0.0016
[11-23 13:34:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:13:42 (0.493 s / it)
[11-23 13:34:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.874 (6.800) Lt: 6.132 (6.085) Accm: 2.75 (2.62) Acct: 4.15 (4.08) proj_loss: -0.5461 (-0.5456) time: 0.4878 data: 0.0015
[11-23 13:34:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.685 (6.692) Lt: 6.046 (5.983) Accm: 2.94 (2.92) Acct: 4.55 (4.54) proj_loss: -0.5550 (-0.5562) time: 0.4878 data: 0.0015
[11-23 13:34:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.859 (6.805) Lt: 6.167 (6.085) Accm: 2.68 (2.68) Acct: 4.30 (4.26) proj_loss: -0.5541 (-0.5587) time: 0.4878 data: 0.0020
[11-23 13:34:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:13:42 (0.493 s / it)
[11-23 13:34:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:13:42 (0.493 s / it)
[11-23 13:34:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:13:42 (0.493 s / it)
[11-23 13:34:02] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.751 (6.755), Lt: 6.033 (6.043), Acc m&t: 2.76 4.37, Remain: 2 days, 15:12:53, Finish: 2024-11-25 12:46
[11-23 13:34:02] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.751 (6.755), Lt: 6.033 (6.043), Acc m&t: 2.76 4.37, Remain: 2 days, 15:12:04, Finish: 2024-11-25 12:46
[11-23 13:34:02] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.751 (6.755), Lt: 6.033 (6.043), Acc m&t: 2.76 4.37, Remain: 2 days, 15:14:35, Finish: 2024-11-25 12:48
[11-23 13:34:02] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.751 (6.755), Lt: 6.033 (6.043), Acc m&t: 2.76 4.37, Remain: 2 days, 15:11:52, Finish: 2024-11-25 12:45
[11-23 13:34:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:12:48 tlr: 0.0002 tnm: 0.32 Lm: 6.797 (6.797) Lt: 6.103 (6.103) Accm: 2.46 (2.46) Acct: 3.99 (3.99) proj_loss: -0.5532 (-0.5532) time: 0.4603 data: 0.0003
[11-23 13:34:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:12:50 tlr: 0.0002 tnm: 0.32 Lm: 6.678 (6.678) Lt: 5.919 (5.919) Accm: 2.81 (2.81) Acct: 4.60 (4.60) proj_loss: -0.5593 (-0.5593) time: 0.4617 data: 0.0004
[11-23 13:34:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.32 Lm: 6.890 (6.890) Lt: 6.250 (6.250) Accm: 2.56 (2.56) Acct: 4.03 (4.03) proj_loss: -0.5401 (-0.5401) time: 0.4609 data: 0.0003
[11-23 13:34:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.32 Lm: 6.676 (6.676) Lt: 5.967 (5.967) Accm: 2.92 (2.92) Acct: 4.48 (4.48) proj_loss: -0.5500 (-0.5500) time: 0.4608 data: 0.0003
[11-23 13:37:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:10:09 tlr: 0.0002 tnm: 0.32 Lm: 6.740 (6.740) Lt: 6.009 (6.009) Accm: 2.75 (2.75) Acct: 4.35 (4.35) proj_loss: -0.5523 (-0.5523) time: 0.4899 data: 0.0003
[11-23 13:37:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:10:09 tlr: 0.0002 tnm: 0.32 Lm: 6.745 (6.745) Lt: 6.051 (6.051) Accm: 2.62 (2.62) Acct: 4.09 (4.09) proj_loss: -0.5455 (-0.5455) time: 0.4899 data: 0.0002
[11-23 13:37:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:10:09 tlr: 0.0002 tnm: 0.32 Lm: 6.823 (6.823) Lt: 6.149 (6.149) Accm: 2.60 (2.60) Acct: 4.12 (4.12) proj_loss: -0.5430 (-0.5430) time: 0.4899 data: 0.0003
[11-23 13:37:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:10:09 tlr: 0.0002 tnm: 0.32 Lm: 6.698 (6.698) Lt: 5.940 (5.940) Accm: 2.87 (2.87) Acct: 4.55 (4.55) proj_loss: -0.5480 (-0.5480) time: 0.4899 data: 0.0003
[11-23 13:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.32 Lm: 6.711 (6.702) Lt: 5.961 (5.954) Accm: 2.91 (2.88) Acct: 4.55 (4.55) proj_loss: -0.5537 (-0.5499) time: 0.4824 data: 0.0003
[11-23 13:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.32 Lm: 6.768 (6.805) Lt: 6.048 (6.107) Accm: 2.63 (2.62) Acct: 4.22 (4.16) proj_loss: -0.5458 (-0.5457) time: 0.4824 data: 0.0002
[11-23 13:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.32 Lm: 6.804 (6.774) Lt: 6.050 (6.068) Accm: 2.67 (2.72) Acct: 4.22 (4.17) proj_loss: -0.5547 (-0.5549) time: 0.4824 data: 0.0002
[11-23 13:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.32 Lm: 6.797 (6.764) Lt: 6.103 (6.078) Accm: 2.48 (2.57) Acct: 3.99 (4.05) proj_loss: -0.5477 (-0.5463) time: 0.4824 data: 0.0002
[11-23 13:44:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.31 Lm: 6.774 (6.761) Lt: 6.060 (6.063) Accm: 2.62 (2.62) Acct: 4.09 (4.14) proj_loss: -0.5505 (-0.5485) time: 0.4895 data: 0.0003
[11-23 13:44:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.31 Lm: 6.709 (6.704) Lt: 5.959 (5.954) Accm: 2.91 (2.93) Acct: 4.57 (4.64) proj_loss: -0.5474 (-0.5477) time: 0.4895 data: 0.0002
[11-23 13:44:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.31 Lm: 6.762 (6.761) Lt: 6.035 (6.056) Accm: 2.64 (2.66) Acct: 4.22 (4.18) proj_loss: -0.5484 (-0.5529) time: 0.4895 data: 0.0002
[11-23 13:44:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.31 Lm: 6.785 (6.772) Lt: 6.058 (6.068) Accm: 2.78 (2.76) Acct: 4.35 (4.29) proj_loss: -0.5573 (-0.5616) time: 0.4895 data: 0.0003
[11-23 13:47:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.804 (6.801) Lt: 6.066 (6.102) Accm: 2.67 (2.68) Acct: 4.22 (4.19) proj_loss: -0.5600 (-0.5617) time: 0.6730 data: 0.0016
[11-23 13:47:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:13:43 (0.493 s / it)
[11-23 13:47:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.754 (6.760) Lt: 6.022 (6.055) Accm: 2.76 (2.66) Acct: 4.18 (4.19) proj_loss: -0.5522 (-0.5492) time: 0.6730 data: 0.0019
[11-23 13:47:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.756 (6.754) Lt: 6.022 (6.044) Accm: 2.66 (2.67) Acct: 4.22 (4.16) proj_loss: -0.5510 (-0.5562) time: 0.6730 data: 0.0016
[11-23 13:47:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.711 (6.708) Lt: 5.961 (5.958) Accm: 2.91 (2.82) Acct: 4.55 (4.46) proj_loss: -0.5537 (-0.5508) time: 0.6730 data: 0.0015
[11-23 13:47:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:13:43 (0.493 s / it)
[11-23 13:47:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:13:43 (0.493 s / it)
[11-23 13:47:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:13:43 (0.493 s / it)
[11-23 13:47:45] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.751 (6.755), Lt: 6.033 (6.042), Acc m&t: 2.76 4.37, Remain: 2 days, 15:23:22, Finish: 2024-11-25 13:11
[11-23 13:47:45] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.751 (6.755), Lt: 6.033 (6.042), Acc m&t: 2.76 4.37, Remain: 2 days, 15:24:18, Finish: 2024-11-25 13:12
[11-23 13:47:45] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.751 (6.755), Lt: 6.033 (6.042), Acc m&t: 2.76 4.37, Remain: 2 days, 15:22:09, Finish: 2024-11-25 13:09
[11-23 13:47:45] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.751 (6.755), Lt: 6.033 (6.042), Acc m&t: 2.76 4.37, Remain: 2 days, 15:23:42, Finish: 2024-11-25 13:11
[11-23 13:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:13:11 tlr: 0.0002 tnm: 0.29 Lm: 6.844 (6.844) Lt: 6.141 (6.141) Accm: 2.41 (2.41) Acct: 3.58 (3.58) proj_loss: -0.5601 (-0.5601) time: 0.4744 data: 0.0003
[11-23 13:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:13:11 tlr: 0.0002 tnm: 0.29 Lm: 6.683 (6.683) Lt: 5.910 (5.910) Accm: 3.06 (3.06) Acct: 4.89 (4.89) proj_loss: -0.5588 (-0.5588) time: 0.4745 data: 0.0003
[11-23 13:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:13:12 tlr: 0.0002 tnm: 0.29 Lm: 6.630 (6.630) Lt: 5.881 (5.881) Accm: 2.88 (2.88) Acct: 4.70 (4.70) proj_loss: -0.5597 (-0.5597) time: 0.4746 data: 0.0003
[11-23 13:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:13:12 tlr: 0.0002 tnm: 0.29 Lm: 6.758 (6.758) Lt: 6.097 (6.097) Accm: 2.72 (2.72) Acct: 4.13 (4.13) proj_loss: -0.5597 (-0.5597) time: 0.4747 data: 0.0003
[11-23 13:51:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:10:15 tlr: 0.0002 tnm: 0.32 Lm: 6.781 (6.781) Lt: 6.127 (6.127) Accm: 2.59 (2.59) Acct: 3.97 (3.97) proj_loss: -0.5624 (-0.5624) time: 0.4890 data: 0.0003
[11-23 13:51:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:10:15 tlr: 0.0002 tnm: 0.32 Lm: 6.681 (6.681) Lt: 5.951 (5.951) Accm: 2.93 (2.93) Acct: 4.50 (4.50) proj_loss: -0.5568 (-0.5568) time: 0.4890 data: 0.0002
[11-23 13:51:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:10:15 tlr: 0.0002 tnm: 0.32 Lm: 6.722 (6.722) Lt: 5.989 (5.989) Accm: 2.79 (2.79) Acct: 4.47 (4.47) proj_loss: -0.5658 (-0.5658) time: 0.4890 data: 0.0003
[11-23 13:51:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:10:15 tlr: 0.0002 tnm: 0.32 Lm: 6.688 (6.688) Lt: 5.943 (5.943) Accm: 2.91 (2.91) Acct: 4.58 (4.58) proj_loss: -0.5529 (-0.5529) time: 0.4890 data: 0.0003
[11-23 13:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.31 Lm: 6.728 (6.701) Lt: 5.989 (5.958) Accm: 2.95 (2.92) Acct: 5.03 (4.73) proj_loss: -0.5573 (-0.5544) time: 0.4825 data: 0.0003
[11-23 13:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.31 Lm: 6.683 (6.712) Lt: 5.991 (5.988) Accm: 2.80 (2.85) Acct: 4.12 (4.37) proj_loss: -0.5588 (-0.5630) time: 0.4825 data: 0.0002
[11-23 13:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.31 Lm: 6.779 (6.741) Lt: 6.074 (6.017) Accm: 2.70 (2.75) Acct: 4.24 (4.36) proj_loss: -0.5597 (-0.5621) time: 0.4825 data: 0.0002
[11-23 13:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.31 Lm: 6.758 (6.757) Lt: 6.097 (6.079) Accm: 2.72 (2.67) Acct: 4.13 (4.14) proj_loss: -0.5597 (-0.5579) time: 0.4825 data: 0.0002
[11-23 13:57:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.32 Lm: 6.781 (6.797) Lt: 6.127 (6.115) Accm: 2.59 (2.58) Acct: 3.97 (3.97) proj_loss: -0.5590 (-0.5580) time: 0.4846 data: 0.0003
[11-23 13:57:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.32 Lm: 6.727 (6.707) Lt: 5.945 (5.944) Accm: 2.94 (2.92) Acct: 4.97 (4.77) proj_loss: -0.5541 (-0.5535) time: 0.4846 data: 0.0003
[11-23 13:57:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.32 Lm: 6.728 (6.754) Lt: 6.027 (6.040) Accm: 2.75 (2.73) Acct: 4.11 (4.25) proj_loss: -0.5636 (-0.5644) time: 0.4846 data: 0.0002
[11-23 13:57:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.32 Lm: 6.728 (6.725) Lt: 5.990 (5.990) Accm: 2.73 (2.75) Acct: 4.21 (4.32) proj_loss: -0.5623 (-0.5628) time: 0.4846 data: 0.0002
[11-23 14:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.677 (6.715) Lt: 5.945 (5.981) Accm: 2.76 (2.83) Acct: 4.24 (4.42) proj_loss: -0.5597 (-0.5603) time: 0.4903 data: 0.0020
[11-23 14:01:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:13:34 (0.488 s / it)
[11-23 14:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.754 (6.754) Lt: 6.006 (6.033) Accm: 2.80 (2.76) Acct: 4.12 (4.29) proj_loss: -0.5588 (-0.5582) time: 0.4903 data: 0.0020
[11-23 14:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.804 (6.803) Lt: 6.097 (6.111) Accm: 2.72 (2.61) Acct: 4.13 (4.06) proj_loss: -0.5583 (-0.5568) time: 0.4903 data: 0.0017
[11-23 14:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.728 (6.726) Lt: 5.989 (5.971) Accm: 2.92 (2.85) Acct: 4.91 (4.66) proj_loss: -0.5508 (-0.5528) time: 0.4903 data: 0.0020
[11-23 14:01:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:13:34 (0.488 s / it)
[11-23 14:01:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:13:34 (0.488 s / it)
[11-23 14:01:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:13:34 (0.488 s / it)
[11-23 14:01:20] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.751 (6.757), Lt: 6.033 (6.039), Acc m&t: 2.76 4.37, Remain: 2 days, 14:50:05, Finish: 2024-11-25 12:51
[11-23 14:01:20] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.751 (6.757), Lt: 6.033 (6.039), Acc m&t: 2.76 4.37, Remain: 2 days, 14:49:23, Finish: 2024-11-25 12:50
[11-23 14:01:20] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.751 (6.757), Lt: 6.033 (6.039), Acc m&t: 2.76 4.37, Remain: 2 days, 14:49:18, Finish: 2024-11-25 12:50
[11-23 14:01:20] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.751 (6.757), Lt: 6.033 (6.039), Acc m&t: 2.76 4.37, Remain: 2 days, 14:50:19, Finish: 2024-11-25 12:51
[11-23 14:01:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:12:53 tlr: 0.0002 tnm: 0.30 Lm: 6.893 (6.893) Lt: 6.175 (6.175) Accm: 2.32 (2.32) Acct: 3.77 (3.77) proj_loss: -0.5576 (-0.5576) time: 0.4635 data: 0.0003
[11-23 14:01:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:12:54 tlr: 0.0002 tnm: 0.30 Lm: 6.733 (6.733) Lt: 5.993 (5.993) Accm: 2.78 (2.78) Acct: 4.42 (4.42) proj_loss: -0.5760 (-0.5760) time: 0.4640 data: 0.0004
[11-23 14:01:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:12:53 tlr: 0.0002 tnm: 0.30 Lm: 6.799 (6.799) Lt: 6.131 (6.131) Accm: 2.57 (2.57) Acct: 4.08 (4.08) proj_loss: -0.5644 (-0.5644) time: 0.4637 data: 0.0003
[11-23 14:01:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:12:54 tlr: 0.0002 tnm: 0.30 Lm: 6.624 (6.624) Lt: 5.885 (5.885) Accm: 3.21 (3.21) Acct: 5.42 (5.42) proj_loss: -0.5542 (-0.5542) time: 0.4641 data: 0.0004
[11-23 14:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.29 Lm: 6.605 (6.605) Lt: 5.858 (5.858) Accm: 3.21 (3.21) Acct: 5.23 (5.23) proj_loss: -0.5578 (-0.5578) time: 0.4871 data: 0.0003
[11-23 14:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.29 Lm: 6.798 (6.798) Lt: 6.050 (6.050) Accm: 2.61 (2.61) Acct: 4.21 (4.21) proj_loss: -0.5562 (-0.5562) time: 0.4871 data: 0.0003
[11-23 14:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.29 Lm: 6.699 (6.699) Lt: 5.987 (5.987) Accm: 2.79 (2.79) Acct: 4.50 (4.50) proj_loss: -0.5524 (-0.5524) time: 0.4871 data: 0.0003
[11-23 14:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.29 Lm: 6.702 (6.702) Lt: 5.976 (5.976) Accm: 2.81 (2.81) Acct: 4.45 (4.45) proj_loss: -0.5654 (-0.5654) time: 0.4871 data: 0.0002
[11-23 14:08:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:07:00 tlr: 0.0002 tnm: 0.33 Lm: 6.733 (6.743) Lt: 5.993 (6.019) Accm: 2.78 (2.67) Acct: 4.42 (4.18) proj_loss: -0.5576 (-0.5628) time: 0.4888 data: 0.0002
[11-23 14:08:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:07:00 tlr: 0.0002 tnm: 0.33 Lm: 6.702 (6.762) Lt: 5.983 (6.027) Accm: 2.90 (2.82) Acct: 4.65 (4.42) proj_loss: -0.5576 (-0.5615) time: 0.4888 data: 0.0002
[11-23 14:08:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:07:00 tlr: 0.0002 tnm: 0.33 Lm: 6.587 (6.599) Lt: 5.885 (5.875) Accm: 3.20 (3.11) Acct: 5.03 (4.91) proj_loss: -0.5615 (-0.5594) time: 0.4888 data: 0.0002
[11-23 14:08:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:07:00 tlr: 0.0002 tnm: 0.33 Lm: 6.630 (6.676) Lt: 5.945 (5.973) Accm: 3.02 (2.90) Acct: 4.68 (4.56) proj_loss: -0.5644 (-0.5575) time: 0.4888 data: 0.0003
[11-23 14:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:03:27 tlr: 0.0002 tnm: 0.30 Lm: 6.636 (6.668) Lt: 5.921 (5.954) Accm: 3.07 (3.01) Acct: 4.80 (4.75) proj_loss: -0.5568 (-0.5554) time: 0.4852 data: 0.0003
[11-23 14:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:03:27 tlr: 0.0002 tnm: 0.30 Lm: 6.712 (6.752) Lt: 5.992 (6.021) Accm: 2.87 (2.82) Acct: 4.56 (4.43) proj_loss: -0.5613 (-0.5623) time: 0.4852 data: 0.0003
[11-23 14:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:03:27 tlr: 0.0002 tnm: 0.30 Lm: 6.779 (6.793) Lt: 6.049 (6.082) Accm: 2.59 (2.56) Acct: 4.04 (3.95) proj_loss: -0.5587 (-0.5621) time: 0.4852 data: 0.0003
[11-23 14:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:03:27 tlr: 0.0002 tnm: 0.30 Lm: 6.606 (6.640) Lt: 5.897 (5.911) Accm: 3.06 (3.01) Acct: 4.66 (4.75) proj_loss: -0.5578 (-0.5523) time: 0.4852 data: 0.0003
[11-23 14:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.29 Lm: 6.624 (6.667) Lt: 5.909 (5.931) Accm: 2.92 (2.96) Acct: 4.73 (4.75) proj_loss: -0.5542 (-0.5488) time: 0.4897 data: 0.0018
[11-23 14:15:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:13:45 (0.495 s / it)
[11-23 14:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.29 Lm: 6.642 (6.698) Lt: 5.945 (5.989) Accm: 3.02 (2.92) Acct: 4.68 (4.57) proj_loss: -0.5587 (-0.5561) time: 0.4897 data: 0.0022
[11-23 14:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.29 Lm: 6.809 (6.796) Lt: 6.078 (6.081) Accm: 2.70 (2.59) Acct: 4.42 (4.09) proj_loss: -0.5599 (-0.5633) time: 0.4897 data: 0.0016
[11-23 14:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.29 Lm: 6.721 (6.766) Lt: 6.000 (6.050) Accm: 2.83 (2.77) Acct: 4.48 (4.41) proj_loss: -0.5650 (-0.5640) time: 0.4897 data: 0.0019
[11-23 14:15:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:13:45 (0.495 s / it)
[11-23 14:15:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:13:45 (0.495 s / it)
[11-23 14:15:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:13:45 (0.495 s / it)
[11-23 14:15:06] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.749 (6.749), Lt: 6.032 (6.032), Acc m&t: 2.76 4.37, Remain: 2 days, 14:40:19, Finish: 2024-11-25 12:55
[11-23 14:15:06] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.749 (6.749), Lt: 6.032 (6.032), Acc m&t: 2.76 4.37, Remain: 2 days, 14:40:13, Finish: 2024-11-25 12:55
[11-23 14:15:06] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.749 (6.749), Lt: 6.032 (6.032), Acc m&t: 2.76 4.37, Remain: 2 days, 14:41:45, Finish: 2024-11-25 12:56
[11-23 14:15:06] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.749 (6.749), Lt: 6.032 (6.032), Acc m&t: 2.76 4.37, Remain: 2 days, 14:41:05, Finish: 2024-11-25 12:56
[11-23 14:15:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:12:48 tlr: 0.0002 tnm: 0.30 Lm: 6.763 (6.763) Lt: 6.056 (6.056) Accm: 2.64 (2.64) Acct: 3.98 (3.98) proj_loss: -0.5446 (-0.5446) time: 0.4604 data: 0.0003
[11-23 14:15:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:12:48 tlr: 0.0002 tnm: 0.30 Lm: 6.841 (6.841) Lt: 6.179 (6.179) Accm: 2.43 (2.43) Acct: 3.81 (3.81) proj_loss: -0.5848 (-0.5848) time: 0.4607 data: 0.0004
[11-23 14:15:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:12:48 tlr: 0.0002 tnm: 0.30 Lm: 6.808 (6.808) Lt: 6.091 (6.091) Accm: 2.69 (2.69) Acct: 4.61 (4.61) proj_loss: -0.5738 (-0.5738) time: 0.4607 data: 0.0003
[11-23 14:15:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.30 Lm: 6.736 (6.736) Lt: 6.012 (6.012) Accm: 2.82 (2.82) Acct: 4.84 (4.84) proj_loss: -0.5525 (-0.5525) time: 0.4608 data: 0.0004
[11-23 14:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:10:09 tlr: 0.0002 tnm: 0.30 Lm: 6.743 (6.743) Lt: 6.022 (6.022) Accm: 2.79 (2.79) Acct: 4.57 (4.57) proj_loss: -0.5529 (-0.5529) time: 0.4889 data: 0.0002
[11-23 14:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:10:09 tlr: 0.0002 tnm: 0.30 Lm: 6.797 (6.797) Lt: 6.101 (6.101) Accm: 2.63 (2.63) Acct: 4.11 (4.11) proj_loss: -0.5712 (-0.5712) time: 0.4889 data: 0.0002
[11-23 14:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:10:09 tlr: 0.0002 tnm: 0.30 Lm: 6.812 (6.812) Lt: 6.100 (6.100) Accm: 2.62 (2.62) Acct: 4.10 (4.10) proj_loss: -0.5546 (-0.5546) time: 0.4889 data: 0.0003
[11-23 14:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:10:09 tlr: 0.0002 tnm: 0.30 Lm: 6.789 (6.789) Lt: 6.073 (6.073) Accm: 2.79 (2.79) Acct: 4.74 (4.74) proj_loss: -0.5640 (-0.5640) time: 0.4889 data: 0.0002
[11-23 14:22:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:06:55 tlr: 0.0002 tnm: 0.30 Lm: 6.781 (6.786) Lt: 6.091 (6.080) Accm: 2.69 (2.73) Acct: 4.61 (4.42) proj_loss: -0.5689 (-0.5656) time: 0.6175 data: 0.0002
[11-23 14:22:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:06:55 tlr: 0.0002 tnm: 0.30 Lm: 6.754 (6.736) Lt: 6.024 (6.027) Accm: 2.84 (2.86) Acct: 4.41 (4.46) proj_loss: -0.5585 (-0.5670) time: 0.6175 data: 0.0002
[11-23 14:22:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:06:55 tlr: 0.0002 tnm: 0.30 Lm: 6.750 (6.753) Lt: 6.031 (6.043) Accm: 2.75 (2.73) Acct: 4.30 (4.41) proj_loss: -0.5534 (-0.5557) time: 0.6175 data: 0.0003
[11-23 14:22:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:06:55 tlr: 0.0002 tnm: 0.30 Lm: 6.763 (6.747) Lt: 6.056 (6.033) Accm: 2.64 (2.75) Acct: 4.22 (4.26) proj_loss: -0.5646 (-0.5587) time: 0.6175 data: 0.0003
[11-23 14:25:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:03:27 tlr: 0.0002 tnm: 0.28 Lm: 6.690 (6.694) Lt: 5.978 (5.965) Accm: 2.83 (2.95) Acct: 4.41 (4.51) proj_loss: -0.5556 (-0.5557) time: 0.4858 data: 0.0003
[11-23 14:25:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:03:27 tlr: 0.0002 tnm: 0.28 Lm: 6.758 (6.756) Lt: 6.059 (6.058) Accm: 2.72 (2.72) Acct: 4.38 (4.42) proj_loss: -0.5574 (-0.5596) time: 0.4858 data: 0.0003
[11-23 14:25:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:03:27 tlr: 0.0002 tnm: 0.28 Lm: 6.724 (6.726) Lt: 5.996 (6.012) Accm: 3.04 (2.95) Acct: 4.61 (4.55) proj_loss: -0.5660 (-0.5686) time: 0.4858 data: 0.0003
[11-23 14:25:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:03:27 tlr: 0.0002 tnm: 0.28 Lm: 6.776 (6.777) Lt: 6.073 (6.067) Accm: 2.79 (2.78) Acct: 4.57 (4.45) proj_loss: -0.5655 (-0.5648) time: 0.4858 data: 0.0003
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.770 (6.742) Lt: 6.055 (6.022) Accm: 2.88 (2.88) Acct: 4.61 (4.60) proj_loss: -0.5655 (-0.5649) time: 0.4912 data: 0.0016
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:13:46 (0.495 s / it)
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.744 (6.730) Lt: 5.996 (6.009) Accm: 2.84 (2.88) Acct: 4.41 (4.49) proj_loss: -0.5629 (-0.5675) time: 0.4912 data: 0.0020
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.766 (6.763) Lt: 6.031 (6.052) Accm: 2.70 (2.67) Acct: 4.30 (4.33) proj_loss: -0.5568 (-0.5590) time: 0.4912 data: 0.0020
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.727 (6.701) Lt: 6.034 (5.979) Accm: 2.92 (2.94) Acct: 4.60 (4.54) proj_loss: -0.5646 (-0.5593) time: 0.4912 data: 0.0018
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:13:46 (0.495 s / it)
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:13:46 (0.495 s / it)
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:13:46 (0.495 s / it)
[11-23 14:28:53] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.749 (6.755), Lt: 6.032 (6.042), Acc m&t: 2.76 4.37, Remain: 2 days, 14:27:19, Finish: 2024-11-25 12:56
[11-23 14:28:53] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.749 (6.755), Lt: 6.032 (6.042), Acc m&t: 2.76 4.37, Remain: 2 days, 14:26:15, Finish: 2024-11-25 12:55
[11-23 14:28:53] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.749 (6.755), Lt: 6.032 (6.042), Acc m&t: 2.76 4.37, Remain: 2 days, 14:26:56, Finish: 2024-11-25 12:55
[11-23 14:28:53] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.749 (6.755), Lt: 6.032 (6.042), Acc m&t: 2.76 4.37, Remain: 2 days, 14:26:58, Finish: 2024-11-25 12:55
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:12:50 tlr: 0.0002 tnm: 0.32 Lm: 6.755 (6.755) Lt: 6.041 (6.041) Accm: 2.76 (2.76) Acct: 4.08 (4.08) proj_loss: -0.5624 (-0.5624) time: 0.4615 data: 0.0004
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.32 Lm: 6.841 (6.841) Lt: 6.134 (6.134) Accm: 2.68 (2.68) Acct: 4.08 (4.08) proj_loss: -0.5446 (-0.5446) time: 0.4611 data: 0.0003
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:12:50 tlr: 0.0002 tnm: 0.32 Lm: 6.730 (6.730) Lt: 5.944 (5.944) Accm: 2.79 (2.79) Acct: 4.30 (4.30) proj_loss: -0.5409 (-0.5409) time: 0.4615 data: 0.0003
[11-23 14:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.32 Lm: 6.691 (6.691) Lt: 5.950 (5.950) Accm: 3.09 (3.09) Acct: 4.80 (4.80) proj_loss: -0.5630 (-0.5630) time: 0.4608 data: 0.0003
[11-23 14:32:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.30 Lm: 6.752 (6.752) Lt: 6.015 (6.015) Accm: 2.76 (2.76) Acct: 4.33 (4.33) proj_loss: -0.5607 (-0.5607) time: 0.4886 data: 0.0002
[11-23 14:32:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.30 Lm: 6.770 (6.770) Lt: 6.038 (6.038) Accm: 2.68 (2.68) Acct: 4.22 (4.22) proj_loss: -0.5570 (-0.5570) time: 0.4886 data: 0.0003
[11-23 14:32:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.30 Lm: 6.761 (6.761) Lt: 6.050 (6.050) Accm: 2.93 (2.93) Acct: 4.36 (4.36) proj_loss: -0.5513 (-0.5513) time: 0.4886 data: 0.0002
[11-23 14:32:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.30 Lm: 6.669 (6.669) Lt: 5.898 (5.898) Accm: 3.07 (3.07) Acct: 4.92 (4.92) proj_loss: -0.5480 (-0.5480) time: 0.4886 data: 0.0002
[11-23 14:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.30 Lm: 6.692 (6.677) Lt: 5.944 (5.919) Accm: 2.79 (2.91) Acct: 4.30 (4.64) proj_loss: -0.5550 (-0.5595) time: 0.4850 data: 0.0002
[11-23 14:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.30 Lm: 6.785 (6.814) Lt: 6.041 (6.089) Accm: 2.61 (2.56) Acct: 4.08 (4.05) proj_loss: -0.5577 (-0.5572) time: 0.4850 data: 0.0002
[11-23 14:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.30 Lm: 6.681 (6.720) Lt: 5.966 (5.992) Accm: 2.94 (2.94) Acct: 4.63 (4.51) proj_loss: -0.5580 (-0.5555) time: 0.4850 data: 0.0003
[11-23 14:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.30 Lm: 6.762 (6.755) Lt: 6.058 (6.029) Accm: 2.62 (2.71) Acct: 4.20 (4.29) proj_loss: -0.5630 (-0.5672) time: 0.4850 data: 0.0002
[11-23 14:39:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.31 Lm: 6.739 (6.746) Lt: 6.004 (6.009) Accm: 2.74 (2.75) Acct: 4.34 (4.33) proj_loss: -0.5656 (-0.5675) time: 0.4876 data: 0.0002
[11-23 14:39:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.31 Lm: 6.810 (6.819) Lt: 6.102 (6.108) Accm: 2.51 (2.52) Acct: 3.89 (3.93) proj_loss: -0.5600 (-0.5594) time: 0.4876 data: 0.0003
[11-23 14:39:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.31 Lm: 6.736 (6.738) Lt: 6.039 (6.022) Accm: 2.81 (2.81) Acct: 4.36 (4.30) proj_loss: -0.5513 (-0.5524) time: 0.4876 data: 0.0003
[11-23 14:39:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.31 Lm: 6.711 (6.693) Lt: 5.952 (5.944) Accm: 2.89 (2.93) Acct: 4.30 (4.56) proj_loss: -0.5585 (-0.5601) time: 0.4876 data: 0.0003
[11-23 14:42:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.715 (6.697) Lt: 5.960 (5.959) Accm: 2.79 (2.89) Acct: 4.30 (4.52) proj_loss: -0.5550 (-0.5565) time: 0.4892 data: 0.0020
[11-23 14:42:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:13:47 (0.496 s / it)
[11-23 14:42:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.836 (6.823) Lt: 6.162 (6.123) Accm: 2.40 (2.49) Acct: 3.74 (3.89) proj_loss: -0.5624 (-0.5605) time: 0.4892 data: 0.0015
[11-23 14:42:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.732 (6.737) Lt: 6.009 (6.019) Accm: 2.68 (2.75) Acct: 4.08 (4.24) proj_loss: -0.5580 (-0.5563) time: 0.4892 data: 0.0015
[11-23 14:42:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.762 (6.749) Lt: 5.992 (6.006) Accm: 2.82 (2.76) Acct: 4.48 (4.40) proj_loss: -0.5630 (-0.5659) time: 0.4892 data: 0.0017
[11-23 14:42:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:13:47 (0.496 s / it)
[11-23 14:42:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:13:47 (0.496 s / it)
[11-23 14:42:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:13:47 (0.496 s / it)
[11-23 14:42:40] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.749 (6.757), Lt: 6.032 (6.043), Acc m&t: 2.76 4.37, Remain: 2 days, 14:01:37, Finish: 2024-11-25 12:44
[11-23 14:42:40] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.749 (6.757), Lt: 6.032 (6.043), Acc m&t: 2.76 4.37, Remain: 2 days, 14:01:05, Finish: 2024-11-25 12:43
[11-23 14:42:40] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.749 (6.757), Lt: 6.032 (6.043), Acc m&t: 2.76 4.37, Remain: 2 days, 14:01:13, Finish: 2024-11-25 12:43
[11-23 14:42:40] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.749 (6.757), Lt: 6.032 (6.043), Acc m&t: 2.76 4.37, Remain: 2 days, 14:00:59, Finish: 2024-11-25 12:43
[11-23 14:42:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:13:24 tlr: 0.0002 tnm: 0.31 Lm: 6.736 (6.736) Lt: 5.992 (5.992) Accm: 2.80 (2.80) Acct: 4.30 (4.30) proj_loss: -0.5385 (-0.5385) time: 0.4818 data: 0.0004
[11-23 14:42:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:13:24 tlr: 0.0002 tnm: 0.31 Lm: 6.917 (6.917) Lt: 6.213 (6.213) Accm: 2.43 (2.43) Acct: 4.03 (4.03) proj_loss: -0.5443 (-0.5443) time: 0.4818 data: 0.0004
[11-23 14:42:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:13:25 tlr: 0.0002 tnm: 0.31 Lm: 6.732 (6.732) Lt: 6.000 (6.000) Accm: 2.86 (2.86) Acct: 4.65 (4.65) proj_loss: -0.5770 (-0.5770) time: 0.4823 data: 0.0003
[11-23 14:42:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:13:24 tlr: 0.0002 tnm: 0.31 Lm: 6.874 (6.874) Lt: 6.190 (6.190) Accm: 2.44 (2.44) Acct: 3.86 (3.86) proj_loss: -0.5817 (-0.5817) time: 0.4819 data: 0.0003
[11-23 14:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:10:08 tlr: 0.0002 tnm: 0.32 Lm: 6.849 (6.849) Lt: 6.145 (6.145) Accm: 2.53 (2.53) Acct: 3.96 (3.96) proj_loss: -0.5728 (-0.5728) time: 0.4821 data: 0.0002
[11-23 14:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:10:08 tlr: 0.0002 tnm: 0.32 Lm: 6.857 (6.857) Lt: 6.144 (6.144) Accm: 2.47 (2.47) Acct: 4.04 (4.04) proj_loss: -0.5505 (-0.5505) time: 0.4822 data: 0.0002
[11-23 14:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:10:08 tlr: 0.0002 tnm: 0.32 Lm: 6.756 (6.756) Lt: 6.019 (6.019) Accm: 2.67 (2.67) Acct: 4.31 (4.31) proj_loss: -0.5745 (-0.5745) time: 0.4821 data: 0.0002
[11-23 14:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:10:08 tlr: 0.0002 tnm: 0.32 Lm: 6.753 (6.753) Lt: 6.025 (6.025) Accm: 2.62 (2.62) Acct: 4.12 (4.12) proj_loss: -0.5467 (-0.5467) time: 0.4821 data: 0.0002
[11-23 14:49:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.29 Lm: 6.770 (6.768) Lt: 6.057 (6.042) Accm: 2.58 (2.61) Acct: 4.25 (4.17) proj_loss: -0.5549 (-0.5495) time: 0.4876 data: 0.0002
[11-23 14:49:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.29 Lm: 6.801 (6.839) Lt: 6.112 (6.133) Accm: 2.52 (2.53) Acct: 4.05 (4.07) proj_loss: -0.5568 (-0.5557) time: 0.4876 data: 0.0002
[11-23 14:49:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.29 Lm: 6.732 (6.730) Lt: 6.000 (5.981) Accm: 2.86 (2.78) Acct: 4.63 (4.42) proj_loss: -0.5720 (-0.5685) time: 0.4876 data: 0.0003
[11-23 14:49:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:06:46 tlr: 0.0002 tnm: 0.29 Lm: 6.874 (6.863) Lt: 6.190 (6.179) Accm: 2.47 (2.51) Acct: 3.86 (3.91) proj_loss: -0.5763 (-0.5739) time: 0.4876 data: 0.0003
[11-23 14:52:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.30 Lm: 6.849 (6.833) Lt: 6.145 (6.148) Accm: 2.54 (2.55) Acct: 3.96 (3.99) proj_loss: -0.5701 (-0.5668) time: 0.4906 data: 0.0002
[11-23 14:52:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.30 Lm: 6.806 (6.832) Lt: 6.149 (6.146) Accm: 2.51 (2.53) Acct: 4.04 (3.94) proj_loss: -0.5613 (-0.5582) time: 0.4906 data: 0.0002
[11-23 14:52:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.30 Lm: 6.784 (6.779) Lt: 6.067 (6.054) Accm: 2.68 (2.65) Acct: 4.28 (4.22) proj_loss: -0.5536 (-0.5502) time: 0.4906 data: 0.0003
[11-23 14:52:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.30 Lm: 6.756 (6.767) Lt: 6.019 (6.028) Accm: 2.67 (2.64) Acct: 4.30 (4.21) proj_loss: -0.5643 (-0.5600) time: 0.4906 data: 0.0003
[11-23 14:56:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.732 (6.741) Lt: 6.000 (6.009) Accm: 2.86 (2.73) Acct: 4.63 (4.31) proj_loss: -0.5720 (-0.5626) time: 0.6200 data: 0.0016
[11-23 14:56:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:13:40 (0.491 s / it)
[11-23 14:56:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.801 (6.775) Lt: 6.112 (6.080) Accm: 2.52 (2.68) Acct: 4.05 (4.21) proj_loss: -0.5653 (-0.5596) time: 0.6200 data: 0.0015
[11-23 14:56:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.783 (6.780) Lt: 6.066 (6.056) Accm: 2.73 (2.67) Acct: 4.29 (4.24) proj_loss: -0.5523 (-0.5505) time: 0.6200 data: 0.0015
[11-23 14:56:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.823 (6.824) Lt: 6.099 (6.136) Accm: 2.62 (2.59) Acct: 4.06 (4.09) proj_loss: -0.5639 (-0.5632) time: 0.6200 data: 0.0015
[11-23 14:56:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:13:40 (0.491 s / it)
[11-23 14:56:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:13:40 (0.491 s / it)
[11-23 14:56:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:13:40 (0.491 s / it)
[11-23 15:00:18] (me/user/VAR/evaluator.py, line 590)=> downloading InceptionV3 model...
[11-23 15:01:37] (home/user/VAR/trainer.py, line 114)=> FID: 4.869588087480565
[11-23 15:01:38] (/home/user/VAR/train.py , line 259)=> [*] [ep79] (val 50000) Lm: 6.7452, Lt: 6.0336, Acc m&t: 2.75 4.33, Val cost: 316.87s
[11-23 15:01:38] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-23 15:02:01] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.745 (6.745), Lt: 6.032 (6.034), Acc m&t: 2.76 4.37, Remain: 2 days, 13:48:01, Finish: 2024-11-25 12:44
[11-23 15:02:01] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.745 (6.745), Lt: 6.032 (6.034), Acc m&t: 2.76 4.37, Remain: 2 days, 13:48:56, Finish: 2024-11-25 12:45
[11-23 15:02:01] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.745 (6.745), Lt: 6.032 (6.034), Acc m&t: 2.76 4.37, Remain: 2 days, 13:48:53, Finish: 2024-11-25 12:45
[11-23 15:02:01] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.745 (6.745), Lt: 6.032 (6.034), Acc m&t: 2.76 4.37, Remain: 2 days, 13:49:00, Finish: 2024-11-25 12:45
[11-23 15:02:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:16:35 tlr: 0.0002 tnm: 0.32 Lm: 6.700 (6.700) Lt: 5.946 (5.946) Accm: 2.76 (2.76) Acct: 4.13 (4.13) proj_loss: -0.5199 (-0.5199) time: 0.5967 data: 0.0004
[11-23 15:02:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:16:36 tlr: 0.0002 tnm: 0.32 Lm: 6.725 (6.725) Lt: 6.075 (6.075) Accm: 2.78 (2.78) Acct: 4.29 (4.29) proj_loss: -0.5545 (-0.5545) time: 0.5971 data: 0.0004
[11-23 15:02:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:16:32 tlr: 0.0002 tnm: 0.32 Lm: 6.840 (6.840) Lt: 6.128 (6.128) Accm: 2.52 (2.52) Acct: 4.29 (4.29) proj_loss: -0.5695 (-0.5695) time: 0.5944 data: 0.0004
[11-23 15:02:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:16:32 tlr: 0.0002 tnm: 0.32 Lm: 6.770 (6.770) Lt: 6.085 (6.085) Accm: 2.48 (2.48) Acct: 3.62 (3.62) proj_loss: -0.5728 (-0.5728) time: 0.5944 data: 0.0004
[11-23 15:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.30 Lm: 6.788 (6.788) Lt: 6.114 (6.114) Accm: 2.57 (2.57) Acct: 4.01 (4.01) proj_loss: -0.5722 (-0.5722) time: 0.4912 data: 0.0003
[11-23 15:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.30 Lm: 6.733 (6.733) Lt: 5.993 (5.993) Accm: 2.73 (2.73) Acct: 4.26 (4.26) proj_loss: -0.5413 (-0.5413) time: 0.4911 data: 0.0003
[11-23 15:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.30 Lm: 6.792 (6.792) Lt: 6.099 (6.099) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.5637 (-0.5637) time: 0.4911 data: 0.0003
[11-23 15:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.30 Lm: 6.697 (6.697) Lt: 6.022 (6.022) Accm: 2.87 (2.87) Acct: 4.57 (4.57) proj_loss: -0.5559 (-0.5559) time: 0.4912 data: 0.0003
[11-23 15:08:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:06:47 tlr: 0.0002 tnm: 0.32 Lm: 6.725 (6.772) Lt: 6.075 (6.105) Accm: 2.78 (2.69) Acct: 4.29 (4.26) proj_loss: -0.5572 (-0.5566) time: 0.4918 data: 0.0003
[11-23 15:08:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:06:47 tlr: 0.0002 tnm: 0.32 Lm: 6.744 (6.741) Lt: 6.071 (6.046) Accm: 2.86 (2.78) Acct: 4.42 (4.48) proj_loss: -0.5598 (-0.5624) time: 0.4918 data: 0.0003
[11-23 15:08:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:06:47 tlr: 0.0002 tnm: 0.32 Lm: 6.807 (6.823) Lt: 6.142 (6.153) Accm: 2.48 (2.48) Acct: 3.67 (3.90) proj_loss: -0.5715 (-0.5718) time: 0.4918 data: 0.0003
[11-23 15:08:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:06:47 tlr: 0.0002 tnm: 0.32 Lm: 6.767 (6.762) Lt: 6.040 (6.043) Accm: 2.76 (2.76) Acct: 4.39 (4.35) proj_loss: -0.5627 (-0.5507) time: 0.4918 data: 0.0003
[11-23 15:12:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.30 Lm: 6.740 (6.750) Lt: 6.019 (6.031) Accm: 2.78 (2.77) Acct: 4.39 (4.36) proj_loss: -0.5639 (-0.5543) time: 0.4865 data: 0.0003
[11-23 15:12:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.30 Lm: 6.746 (6.771) Lt: 6.088 (6.104) Accm: 2.68 (2.66) Acct: 4.08 (4.17) proj_loss: -0.5559 (-0.5558) time: 0.4865 data: 0.0003
[11-23 15:12:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.30 Lm: 6.788 (6.803) Lt: 6.114 (6.113) Accm: 2.57 (2.54) Acct: 3.95 (3.98) proj_loss: -0.5713 (-0.5672) time: 0.4865 data: 0.0003
[11-23 15:12:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:03:23 tlr: 0.0002 tnm: 0.30 Lm: 6.791 (6.765) Lt: 6.099 (6.072) Accm: 2.69 (2.66) Acct: 4.36 (4.28) proj_loss: -0.5646 (-0.5655) time: 0.4865 data: 0.0003
[11-23 15:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.744 (6.734) Lt: 6.071 (6.030) Accm: 2.86 (2.80) Acct: 4.42 (4.47) proj_loss: -0.5663 (-0.5657) time: 0.4906 data: 0.0015
[11-23 15:15:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:13:33 (0.488 s / it)
[11-23 15:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.725 (6.756) Lt: 6.075 (6.081) Accm: 2.78 (2.70) Acct: 4.29 (4.27) proj_loss: -0.5545 (-0.5514) time: 0.4906 data: 0.0016
[11-23 15:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.807 (6.807) Lt: 6.085 (6.107) Accm: 2.48 (2.52) Acct: 3.86 (3.96) proj_loss: -0.5712 (-0.5631) time: 0.4906 data: 0.0017
[11-23 15:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.738 (6.748) Lt: 6.040 (6.034) Accm: 2.76 (2.71) Acct: 4.39 (4.27) proj_loss: -0.5651 (-0.5589) time: 0.4906 data: 0.0016
[11-23 15:15:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:13:33 (0.488 s / it)
[11-23 15:15:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:13:33 (0.488 s / it)
[11-23 15:15:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:13:33 (0.488 s / it)
[11-23 15:15:34] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.745 (6.758), Lt: 6.032 (6.047), Acc m&t: 2.76 4.37, Remain: 2 days, 13:53:09, Finish: 2024-11-25 13:08
[11-23 15:15:34] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.745 (6.758), Lt: 6.032 (6.047), Acc m&t: 2.76 4.37, Remain: 2 days, 13:51:46, Finish: 2024-11-25 13:07
[11-23 15:15:34] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.745 (6.758), Lt: 6.032 (6.047), Acc m&t: 2.76 4.37, Remain: 2 days, 13:51:57, Finish: 2024-11-25 13:07
[11-23 15:15:34] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.745 (6.758), Lt: 6.032 (6.047), Acc m&t: 2.76 4.37, Remain: 2 days, 13:52:57, Finish: 2024-11-25 13:08
[11-23 15:15:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:13:10 tlr: 0.0002 tnm: 0.30 Lm: 6.711 (6.711) Lt: 6.022 (6.022) Accm: 2.90 (2.90) Acct: 4.60 (4.60) proj_loss: -0.5624 (-0.5624) time: 0.4736 data: 0.0004
[11-23 15:15:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:12:54 tlr: 0.0002 tnm: 0.30 Lm: 6.785 (6.785) Lt: 6.087 (6.087) Accm: 2.37 (2.37) Acct: 3.91 (3.91) proj_loss: -0.5623 (-0.5623) time: 0.4639 data: 0.0004
[11-23 15:15:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:12:53 tlr: 0.0002 tnm: 0.30 Lm: 6.658 (6.658) Lt: 5.920 (5.920) Accm: 2.91 (2.91) Acct: 4.48 (4.48) proj_loss: -0.5671 (-0.5671) time: 0.4634 data: 0.0004
[11-23 15:15:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:12:54 tlr: 0.0002 tnm: 0.30 Lm: 6.569 (6.569) Lt: 5.809 (5.809) Accm: 2.96 (2.96) Acct: 4.68 (4.68) proj_loss: -0.5540 (-0.5540) time: 0.4638 data: 0.0003
[11-23 15:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:10:40 tlr: 0.0002 tnm: 0.30 Lm: 6.675 (6.675) Lt: 5.982 (5.982) Accm: 2.76 (2.76) Acct: 4.30 (4.30) proj_loss: -0.5706 (-0.5706) time: 0.4911 data: 0.0002
[11-23 15:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:10:40 tlr: 0.0002 tnm: 0.30 Lm: 6.759 (6.759) Lt: 6.051 (6.051) Accm: 2.79 (2.79) Acct: 4.43 (4.43) proj_loss: -0.5533 (-0.5533) time: 0.4911 data: 0.0003
[11-23 15:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:10:40 tlr: 0.0002 tnm: 0.30 Lm: 6.799 (6.799) Lt: 6.118 (6.118) Accm: 2.52 (2.52) Acct: 3.99 (3.99) proj_loss: -0.5572 (-0.5572) time: 0.4911 data: 0.0003
[11-23 15:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:10:40 tlr: 0.0002 tnm: 0.30 Lm: 6.727 (6.727) Lt: 5.982 (5.982) Accm: 2.83 (2.83) Acct: 4.44 (4.44) proj_loss: -0.5645 (-0.5645) time: 0.4911 data: 0.0003
[11-23 15:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:06:57 tlr: 0.0002 tnm: 0.31 Lm: 6.796 (6.765) Lt: 6.044 (6.026) Accm: 2.75 (2.69) Acct: 4.41 (4.24) proj_loss: -0.5619 (-0.5616) time: 0.4891 data: 0.0003
[11-23 15:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:06:57 tlr: 0.0002 tnm: 0.31 Lm: 6.785 (6.784) Lt: 6.087 (6.087) Accm: 2.68 (2.68) Acct: 4.08 (4.22) proj_loss: -0.5520 (-0.5527) time: 0.4891 data: 0.0003
[11-23 15:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:06:57 tlr: 0.0002 tnm: 0.31 Lm: 6.704 (6.684) Lt: 5.981 (5.982) Accm: 2.74 (2.75) Acct: 4.15 (4.25) proj_loss: -0.5801 (-0.5738) time: 0.4891 data: 0.0002
[11-23 15:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:06:57 tlr: 0.0002 tnm: 0.31 Lm: 6.711 (6.734) Lt: 6.022 (6.027) Accm: 2.90 (2.94) Acct: 4.60 (4.63) proj_loss: -0.5624 (-0.5594) time: 0.4891 data: 0.0003
[11-23 15:25:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:03:26 tlr: 0.0002 tnm: 0.32 Lm: 6.755 (6.750) Lt: 6.051 (6.052) Accm: 2.79 (2.78) Acct: 4.43 (4.38) proj_loss: -0.5649 (-0.5614) time: 0.4829 data: 0.0003
[11-23 15:25:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:03:26 tlr: 0.0002 tnm: 0.32 Lm: 6.789 (6.786) Lt: 6.056 (6.070) Accm: 2.67 (2.68) Acct: 4.20 (4.25) proj_loss: -0.5478 (-0.5474) time: 0.4829 data: 0.0003
[11-23 15:25:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:03:26 tlr: 0.0002 tnm: 0.32 Lm: 6.642 (6.658) Lt: 5.897 (5.940) Accm: 2.85 (2.88) Acct: 4.42 (4.49) proj_loss: -0.5733 (-0.5719) time: 0.4829 data: 0.0003
[11-23 15:25:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:03:26 tlr: 0.0002 tnm: 0.32 Lm: 6.772 (6.761) Lt: 6.018 (6.017) Accm: 2.68 (2.67) Acct: 4.36 (4.26) proj_loss: -0.5589 (-0.5592) time: 0.4829 data: 0.0003
[11-23 15:29:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.781 (6.765) Lt: 6.044 (6.042) Accm: 2.61 (2.64) Acct: 4.30 (4.18) proj_loss: -0.5619 (-0.5614) time: 0.4929 data: 0.0019
[11-23 15:29:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:13:42 (0.493 s / it)
[11-23 15:29:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.785 (6.767) Lt: 6.024 (6.035) Accm: 2.68 (2.72) Acct: 4.32 (4.33) proj_loss: -0.5461 (-0.5472) time: 0.4929 data: 0.0015
[11-23 15:29:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.711 (6.733) Lt: 6.022 (6.019) Accm: 2.90 (2.86) Acct: 4.60 (4.48) proj_loss: -0.5624 (-0.5615) time: 0.4929 data: 0.0021
[11-23 15:29:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.704 (6.692) Lt: 5.981 (5.988) Accm: 2.74 (2.84) Acct: 4.17 (4.42) proj_loss: -0.5665 (-0.5673) time: 0.4929 data: 0.0016
[11-23 15:29:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:13:42 (0.493 s / it)
[11-23 15:29:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:13:42 (0.493 s / it)
[11-23 15:29:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:13:42 (0.493 s / it)
[11-23 15:29:17] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.745 (6.746), Lt: 6.032 (6.034), Acc m&t: 2.76 4.37, Remain: 2 days, 13:49:31, Finish: 2024-11-25 13:18
[11-23 15:29:17] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.745 (6.746), Lt: 6.032 (6.034), Acc m&t: 2.76 4.37, Remain: 2 days, 13:49:33, Finish: 2024-11-25 13:18
[11-23 15:29:17] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.745 (6.746), Lt: 6.032 (6.034), Acc m&t: 2.76 4.37, Remain: 2 days, 13:49:06, Finish: 2024-11-25 13:18
[11-23 15:29:17] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.745 (6.746), Lt: 6.032 (6.034), Acc m&t: 2.76 4.37, Remain: 2 days, 13:49:49, Finish: 2024-11-25 13:19
[11-23 15:29:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:12:49 tlr: 0.0002 tnm: 0.30 Lm: 6.856 (6.856) Lt: 6.160 (6.160) Accm: 2.40 (2.40) Acct: 3.70 (3.70) proj_loss: -0.5535 (-0.5535) time: 0.4611 data: 0.0003
[11-23 15:29:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:12:48 tlr: 0.0002 tnm: 0.30 Lm: 6.692 (6.692) Lt: 5.934 (5.934) Accm: 2.91 (2.91) Acct: 4.70 (4.70) proj_loss: -0.5454 (-0.5454) time: 0.4607 data: 0.0004
[11-23 15:29:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:13:10 tlr: 0.0002 tnm: 0.30 Lm: 6.737 (6.737) Lt: 6.054 (6.054) Accm: 2.83 (2.83) Acct: 4.30 (4.30) proj_loss: -0.5675 (-0.5675) time: 0.4734 data: 0.0004
[11-23 15:29:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:12:50 tlr: 0.0002 tnm: 0.30 Lm: 6.674 (6.674) Lt: 5.952 (5.952) Accm: 2.90 (2.90) Acct: 4.55 (4.55) proj_loss: -0.5733 (-0.5733) time: 0.4617 data: 0.0003
[11-23 15:32:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.34 Lm: 6.699 (6.699) Lt: 5.963 (5.963) Accm: 2.78 (2.78) Acct: 4.32 (4.32) proj_loss: -0.5608 (-0.5608) time: 0.4913 data: 0.0003
[11-23 15:32:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.34 Lm: 6.792 (6.792) Lt: 6.100 (6.100) Accm: 2.71 (2.71) Acct: 4.11 (4.11) proj_loss: -0.5666 (-0.5666) time: 0.4913 data: 0.0003
[11-23 15:32:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.34 Lm: 6.705 (6.705) Lt: 5.960 (5.960) Accm: 2.82 (2.82) Acct: 4.46 (4.46) proj_loss: -0.5471 (-0.5471) time: 0.4913 data: 0.0003
[11-23 15:32:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.34 Lm: 6.743 (6.743) Lt: 6.027 (6.027) Accm: 2.70 (2.70) Acct: 4.26 (4.26) proj_loss: -0.5563 (-0.5563) time: 0.4913 data: 0.0002
[11-23 15:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:06:48 tlr: 0.0002 tnm: 0.31 Lm: 6.718 (6.760) Lt: 5.986 (6.027) Accm: 2.74 (2.77) Acct: 4.67 (4.53) proj_loss: -0.5488 (-0.5543) time: 0.4921 data: 0.0003
[11-23 15:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:06:48 tlr: 0.0002 tnm: 0.31 Lm: 6.723 (6.733) Lt: 5.975 (6.009) Accm: 2.65 (2.71) Acct: 4.10 (4.20) proj_loss: -0.5733 (-0.5673) time: 0.4921 data: 0.0003
[11-23 15:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:06:48 tlr: 0.0002 tnm: 0.31 Lm: 6.737 (6.746) Lt: 6.054 (6.025) Accm: 2.83 (2.82) Acct: 4.30 (4.35) proj_loss: -0.5657 (-0.5642) time: 0.4921 data: 0.0003
[11-23 15:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:06:48 tlr: 0.0002 tnm: 0.31 Lm: 6.655 (6.714) Lt: 5.933 (5.995) Accm: 2.97 (2.79) Acct: 4.65 (4.39) proj_loss: -0.5591 (-0.5577) time: 0.4921 data: 0.0002
[11-23 15:39:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.30 Lm: 6.732 (6.737) Lt: 6.031 (6.029) Accm: 2.77 (2.73) Acct: 4.38 (4.32) proj_loss: -0.5598 (-0.5588) time: 0.4880 data: 0.0003
[11-23 15:39:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.30 Lm: 6.705 (6.736) Lt: 5.960 (6.002) Accm: 2.82 (2.84) Acct: 4.67 (4.57) proj_loss: -0.5471 (-0.5502) time: 0.4880 data: 0.0002
[11-23 15:39:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.30 Lm: 6.745 (6.747) Lt: 6.040 (6.025) Accm: 2.91 (2.86) Acct: 4.56 (4.47) proj_loss: -0.5664 (-0.5649) time: 0.4880 data: 0.0002
[11-23 15:39:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.30 Lm: 6.755 (6.746) Lt: 6.029 (6.028) Accm: 2.61 (2.64) Acct: 4.03 (4.12) proj_loss: -0.5683 (-0.5662) time: 0.4880 data: 0.0002
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.787 (6.754) Lt: 6.084 (6.044) Accm: 2.57 (2.61) Acct: 3.96 (4.08) proj_loss: -0.5632 (-0.5630) time: 0.4933 data: 0.0019
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.709 (6.730) Lt: 5.986 (6.009) Accm: 2.82 (2.83) Acct: 4.67 (4.54) proj_loss: -0.5488 (-0.5540) time: 0.4933 data: 0.0016
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.752 (6.760) Lt: 6.032 (6.026) Accm: 2.83 (2.77) Acct: 4.30 (4.40) proj_loss: -0.5664 (-0.5652) time: 0.4933 data: 0.0018
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:13:48 (0.496 s / it)
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.809 (6.758) Lt: 6.129 (6.063) Accm: 2.56 (2.68) Acct: 4.12 (4.19) proj_loss: -0.5605 (-0.5624) time: 0.4933 data: 0.0020
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:13:48 (0.496 s / it)
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:13:48 (0.496 s / it)
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:13:48 (0.496 s / it)
[11-23 15:43:06] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.741 (6.741), Lt: 6.024 (6.024), Acc m&t: 2.76 4.37, Remain: 2 days, 13:42:47, Finish: 2024-11-25 13:25
[11-23 15:43:06] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.741 (6.741), Lt: 6.024 (6.024), Acc m&t: 2.76 4.37, Remain: 2 days, 13:43:23, Finish: 2024-11-25 13:26
[11-23 15:43:06] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.741 (6.741), Lt: 6.024 (6.024), Acc m&t: 2.76 4.37, Remain: 2 days, 13:42:48, Finish: 2024-11-25 13:25
[11-23 15:43:06] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.741 (6.741), Lt: 6.024 (6.024), Acc m&t: 2.76 4.37, Remain: 2 days, 13:42:49, Finish: 2024-11-25 13:25
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:13:13 tlr: 0.0002 tnm: 0.30 Lm: 6.634 (6.634) Lt: 5.964 (5.964) Accm: 3.07 (3.07) Acct: 4.86 (4.86) proj_loss: -0.5715 (-0.5715) time: 0.4752 data: 0.0003
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:13:13 tlr: 0.0002 tnm: 0.30 Lm: 6.771 (6.771) Lt: 6.055 (6.055) Accm: 2.56 (2.56) Acct: 3.93 (3.93) proj_loss: -0.5582 (-0.5582) time: 0.4756 data: 0.0004
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:13:13 tlr: 0.0002 tnm: 0.30 Lm: 6.779 (6.779) Lt: 6.035 (6.035) Accm: 2.56 (2.56) Acct: 4.06 (4.06) proj_loss: -0.5636 (-0.5636) time: 0.4752 data: 0.0003
[11-23 15:43:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:13:13 tlr: 0.0002 tnm: 0.30 Lm: 6.551 (6.551) Lt: 5.747 (5.747) Accm: 3.26 (3.26) Acct: 5.42 (5.42) proj_loss: -0.5453 (-0.5453) time: 0.4757 data: 0.0004
[11-23 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:10:12 tlr: 0.0002 tnm: 0.33 Lm: 6.702 (6.702) Lt: 6.012 (6.012) Accm: 2.87 (2.87) Acct: 4.56 (4.56) proj_loss: -0.5722 (-0.5722) time: 0.4919 data: 0.0002
[11-23 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:10:12 tlr: 0.0002 tnm: 0.33 Lm: 6.780 (6.780) Lt: 6.035 (6.035) Accm: 2.65 (2.65) Acct: 4.19 (4.19) proj_loss: -0.5542 (-0.5542) time: 0.4919 data: 0.0002
[11-23 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:10:12 tlr: 0.0002 tnm: 0.33 Lm: 6.779 (6.779) Lt: 6.099 (6.099) Accm: 2.57 (2.57) Acct: 3.96 (3.96) proj_loss: -0.5581 (-0.5581) time: 0.4919 data: 0.0003
[11-23 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:10:12 tlr: 0.0002 tnm: 0.33 Lm: 6.715 (6.715) Lt: 5.974 (5.974) Accm: 2.80 (2.80) Acct: 4.48 (4.48) proj_loss: -0.5530 (-0.5530) time: 0.4919 data: 0.0003
[11-23 15:49:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:06:48 tlr: 0.0002 tnm: 0.31 Lm: 6.755 (6.728) Lt: 6.038 (5.995) Accm: 2.67 (2.76) Acct: 4.08 (4.34) proj_loss: -0.5561 (-0.5541) time: 0.4914 data: 0.0003
[11-23 15:49:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:06:48 tlr: 0.0002 tnm: 0.31 Lm: 6.732 (6.712) Lt: 6.058 (6.028) Accm: 2.86 (2.87) Acct: 4.48 (4.53) proj_loss: -0.5715 (-0.5677) time: 0.4914 data: 0.0003
[11-23 15:49:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:06:48 tlr: 0.0002 tnm: 0.31 Lm: 6.771 (6.756) Lt: 6.055 (6.052) Accm: 2.57 (2.61) Acct: 3.99 (4.10) proj_loss: -0.5580 (-0.5568) time: 0.4914 data: 0.0003
[11-23 15:49:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:06:48 tlr: 0.0002 tnm: 0.31 Lm: 6.781 (6.782) Lt: 6.035 (6.058) Accm: 2.56 (2.57) Acct: 4.06 (4.05) proj_loss: -0.5582 (-0.5555) time: 0.4914 data: 0.0002
[11-23 15:53:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.28 Lm: 6.783 (6.810) Lt: 6.069 (6.094) Accm: 2.54 (2.56) Acct: 4.11 (4.07) proj_loss: -0.5573 (-0.5558) time: 0.4892 data: 0.0002
[11-23 15:53:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.28 Lm: 6.741 (6.730) Lt: 6.006 (6.024) Accm: 2.63 (2.77) Acct: 4.19 (4.36) proj_loss: -0.5581 (-0.5607) time: 0.4892 data: 0.0003
[11-23 15:53:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.28 Lm: 6.713 (6.707) Lt: 6.011 (6.007) Accm: 2.90 (2.88) Acct: 4.61 (4.58) proj_loss: -0.5651 (-0.5649) time: 0.4892 data: 0.0003
[11-23 15:53:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:03:24 tlr: 0.0002 tnm: 0.28 Lm: 6.806 (6.760) Lt: 6.096 (6.035) Accm: 2.50 (2.64) Acct: 3.87 (4.17) proj_loss: -0.5554 (-0.5542) time: 0.4892 data: 0.0003
[11-23 15:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.827 (6.774) Lt: 6.120 (6.052) Accm: 2.67 (2.66) Acct: 4.08 (4.15) proj_loss: -0.5561 (-0.5551) time: 0.4851 data: 0.0016
[11-23 15:56:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:13:35 (0.489 s / it)
[11-23 15:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.786 (6.817) Lt: 6.104 (6.111) Accm: 2.53 (2.53) Acct: 4.06 (4.02) proj_loss: -0.5565 (-0.5541) time: 0.4851 data: 0.0017
[11-23 15:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.744 (6.733) Lt: 6.055 (6.034) Accm: 2.62 (2.74) Acct: 4.27 (4.35) proj_loss: -0.5580 (-0.5573) time: 0.4852 data: 0.0016
[11-23 15:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.694 (6.674) Lt: 5.964 (5.961) Accm: 2.93 (3.00) Acct: 4.73 (4.77) proj_loss: -0.5600 (-0.5640) time: 0.4851 data: 0.0018
[11-23 15:56:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:13:35 (0.489 s / it)
[11-23 15:56:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:13:35 (0.489 s / it)
[11-23 15:56:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:13:35 (0.489 s / it)
[11-23 15:56:41] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.741 (6.746), Lt: 6.024 (6.030), Acc m&t: 2.76 4.37, Remain: 2 days, 12:01:05, Finish: 2024-11-25 11:57
[11-23 15:56:41] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.741 (6.746), Lt: 6.024 (6.030), Acc m&t: 2.76 4.37, Remain: 2 days, 12:01:43, Finish: 2024-11-25 11:58
[11-23 15:56:41] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.741 (6.746), Lt: 6.024 (6.030), Acc m&t: 2.76 4.37, Remain: 2 days, 12:00:49, Finish: 2024-11-25 11:57
[11-23 15:56:41] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.741 (6.746), Lt: 6.024 (6.030), Acc m&t: 2.76 4.37, Remain: 2 days, 12:01:21, Finish: 2024-11-25 11:58
[11-23 15:56:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:12:52 tlr: 0.0002 tnm: 0.30 Lm: 6.623 (6.623) Lt: 5.866 (5.866) Accm: 2.91 (2.91) Acct: 4.73 (4.73) proj_loss: -0.5637 (-0.5637) time: 0.4628 data: 0.0004
[11-23 15:56:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:12:53 tlr: 0.0002 tnm: 0.30 Lm: 6.766 (6.766) Lt: 6.017 (6.017) Accm: 2.53 (2.53) Acct: 4.18 (4.18) proj_loss: -0.5641 (-0.5641) time: 0.4634 data: 0.0003
[11-23 15:56:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:12:53 tlr: 0.0002 tnm: 0.30 Lm: 6.728 (6.728) Lt: 6.032 (6.032) Accm: 2.70 (2.70) Acct: 4.13 (4.13) proj_loss: -0.5947 (-0.5947) time: 0.4632 data: 0.0004
[11-23 15:56:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:12:53 tlr: 0.0002 tnm: 0.30 Lm: 6.846 (6.846) Lt: 6.152 (6.152) Accm: 2.75 (2.75) Acct: 4.13 (4.13) proj_loss: -0.5571 (-0.5571) time: 0.4637 data: 0.0004
[11-23 16:00:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:10:57 tlr: 0.0002 tnm: 0.30 Lm: 6.731 (6.731) Lt: 6.012 (6.012) Accm: 3.02 (3.02) Acct: 4.53 (4.53) proj_loss: -0.5592 (-0.5592) time: 0.5398 data: 0.0003
[11-23 16:00:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:10:57 tlr: 0.0002 tnm: 0.30 Lm: 6.682 (6.682) Lt: 5.945 (5.945) Accm: 2.87 (2.87) Acct: 4.54 (4.54) proj_loss: -0.5563 (-0.5563) time: 0.5398 data: 0.0002
[11-23 16:00:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:10:57 tlr: 0.0002 tnm: 0.30 Lm: 6.741 (6.741) Lt: 5.991 (5.991) Accm: 2.75 (2.75) Acct: 4.28 (4.28) proj_loss: -0.5619 (-0.5619) time: 0.5398 data: 0.0003
[11-23 16:00:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:10:57 tlr: 0.0002 tnm: 0.30 Lm: 6.725 (6.725) Lt: 5.998 (5.998) Accm: 2.82 (2.82) Acct: 4.31 (4.31) proj_loss: -0.5798 (-0.5798) time: 0.5398 data: 0.0003
[11-23 16:03:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:07:03 tlr: 0.0002 tnm: 0.29 Lm: 6.728 (6.780) Lt: 6.032 (6.043) Accm: 2.70 (2.70) Acct: 4.13 (4.18) proj_loss: -0.5648 (-0.5719) time: 0.4902 data: 0.0002
[11-23 16:03:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:07:03 tlr: 0.0002 tnm: 0.29 Lm: 6.681 (6.714) Lt: 5.933 (5.986) Accm: 3.07 (3.04) Acct: 4.67 (4.57) proj_loss: -0.5613 (-0.5603) time: 0.4902 data: 0.0003
[11-23 16:03:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:07:03 tlr: 0.0002 tnm: 0.29 Lm: 6.742 (6.725) Lt: 6.023 (6.003) Accm: 2.83 (2.76) Acct: 4.34 (4.29) proj_loss: -0.5489 (-0.5500) time: 0.4902 data: 0.0003
[11-23 16:03:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:07:03 tlr: 0.0002 tnm: 0.29 Lm: 6.753 (6.745) Lt: 6.005 (5.996) Accm: 2.75 (2.75) Acct: 4.18 (4.21) proj_loss: -0.5598 (-0.5607) time: 0.4902 data: 0.0003
[11-23 16:07:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:03:29 tlr: 0.0002 tnm: 0.29 Lm: 6.760 (6.755) Lt: 6.011 (6.019) Accm: 2.77 (2.76) Acct: 4.24 (4.23) proj_loss: -0.5591 (-0.5539) time: 0.4905 data: 0.0003
[11-23 16:07:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:03:29 tlr: 0.0002 tnm: 0.29 Lm: 6.682 (6.699) Lt: 5.963 (5.978) Accm: 2.87 (2.82) Acct: 4.54 (4.46) proj_loss: -0.5536 (-0.5521) time: 0.4905 data: 0.0002
[11-23 16:07:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:03:29 tlr: 0.0002 tnm: 0.29 Lm: 6.793 (6.800) Lt: 6.083 (6.072) Accm: 2.68 (2.69) Acct: 4.28 (4.24) proj_loss: -0.5606 (-0.5669) time: 0.4905 data: 0.0002
[11-23 16:07:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:03:29 tlr: 0.0002 tnm: 0.29 Lm: 6.723 (6.727) Lt: 5.998 (6.005) Accm: 2.91 (2.96) Acct: 4.40 (4.45) proj_loss: -0.5620 (-0.5658) time: 0.4905 data: 0.0003
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.766 (6.747) Lt: 6.064 (6.027) Accm: 2.75 (2.90) Acct: 4.32 (4.42) proj_loss: -0.5613 (-0.5626) time: 0.4869 data: 0.0017
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:13:51 (0.498 s / it)
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.623 (6.681) Lt: 5.902 (5.957) Accm: 2.91 (2.90) Acct: 4.73 (4.53) proj_loss: -0.5489 (-0.5487) time: 0.4869 data: 0.0014
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.859 (6.813) Lt: 6.134 (6.100) Accm: 2.67 (2.62) Acct: 4.13 (4.10) proj_loss: -0.5648 (-0.5694) time: 0.4869 data: 0.0019
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.753 (6.749) Lt: 6.017 (6.020) Accm: 2.78 (2.80) Acct: 4.29 (4.34) proj_loss: -0.5598 (-0.5592) time: 0.4869 data: 0.0016
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:13:51 (0.498 s / it)
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:13:51 (0.498 s / it)
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:13:51 (0.498 s / it)
[11-23 16:10:33] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.741 (6.743), Lt: 6.024 (6.027), Acc m&t: 2.76 4.37, Remain: 2 days, 12:24:36, Finish: 2024-11-25 12:35
[11-23 16:10:33] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.741 (6.743), Lt: 6.024 (6.027), Acc m&t: 2.76 4.37, Remain: 2 days, 12:24:21, Finish: 2024-11-25 12:34
[11-23 16:10:33] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.741 (6.743), Lt: 6.024 (6.027), Acc m&t: 2.76 4.37, Remain: 2 days, 12:25:53, Finish: 2024-11-25 12:36
[11-23 16:10:33] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.741 (6.743), Lt: 6.024 (6.027), Acc m&t: 2.76 4.37, Remain: 2 days, 12:24:31, Finish: 2024-11-25 12:35
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:12:53 tlr: 0.0002 tnm: 0.31 Lm: 6.800 (6.800) Lt: 6.078 (6.078) Accm: 2.57 (2.57) Acct: 4.12 (4.12) proj_loss: -0.5687 (-0.5687) time: 0.4635 data: 0.0003
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:13:08 tlr: 0.0002 tnm: 0.31 Lm: 6.866 (6.866) Lt: 6.170 (6.170) Accm: 2.55 (2.55) Acct: 4.15 (4.15) proj_loss: -0.5579 (-0.5579) time: 0.4722 data: 0.0004
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:13:00 tlr: 0.0002 tnm: 0.31 Lm: 6.808 (6.808) Lt: 6.107 (6.107) Accm: 2.62 (2.62) Acct: 4.10 (4.10) proj_loss: -0.5649 (-0.5649) time: 0.4679 data: 0.0004
[11-23 16:10:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:12:44 tlr: 0.0002 tnm: 0.31 Lm: 6.843 (6.843) Lt: 6.175 (6.175) Accm: 2.79 (2.79) Acct: 4.22 (4.22) proj_loss: -0.5532 (-0.5532) time: 0.4580 data: 0.0004
[11-23 16:13:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.30 Lm: 6.674 (6.674) Lt: 5.974 (5.974) Accm: 3.02 (3.02) Acct: 4.63 (4.63) proj_loss: -0.5477 (-0.5477) time: 0.4885 data: 0.0003
[11-23 16:13:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.30 Lm: 6.759 (6.759) Lt: 6.024 (6.024) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.5673 (-0.5673) time: 0.4885 data: 0.0003
[11-23 16:13:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.30 Lm: 6.802 (6.802) Lt: 6.116 (6.116) Accm: 2.70 (2.70) Acct: 4.17 (4.17) proj_loss: -0.5589 (-0.5589) time: 0.4885 data: 0.0003
[11-23 16:13:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:10:14 tlr: 0.0002 tnm: 0.30 Lm: 6.646 (6.646) Lt: 5.908 (5.908) Accm: 3.03 (3.03) Acct: 4.73 (4.73) proj_loss: -0.5644 (-0.5644) time: 0.4885 data: 0.0002
[11-23 16:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.30 Lm: 6.800 (6.700) Lt: 6.078 (5.975) Accm: 2.57 (2.87) Acct: 4.12 (4.46) proj_loss: -0.5665 (-0.5651) time: 0.4919 data: 0.0002
[11-23 16:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.30 Lm: 6.751 (6.756) Lt: 6.013 (6.020) Accm: 2.67 (2.71) Acct: 4.29 (4.34) proj_loss: -0.5767 (-0.5728) time: 0.4919 data: 0.0003
[11-23 16:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.30 Lm: 6.796 (6.787) Lt: 6.107 (6.078) Accm: 2.65 (2.69) Acct: 4.18 (4.17) proj_loss: -0.5649 (-0.5611) time: 0.4919 data: 0.0003
[11-23 16:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:06:49 tlr: 0.0002 tnm: 0.30 Lm: 6.824 (6.724) Lt: 6.060 (6.002) Accm: 2.79 (2.89) Acct: 4.22 (4.49) proj_loss: -0.5421 (-0.5433) time: 0.4919 data: 0.0003
[11-23 16:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.786 (6.730) Lt: 6.037 (6.005) Accm: 2.84 (2.89) Acct: 4.37 (4.50) proj_loss: -0.5461 (-0.5450) time: 0.5403 data: 0.0003
[11-23 16:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.781 (6.715) Lt: 6.057 (5.990) Accm: 2.68 (2.85) Acct: 4.18 (4.41) proj_loss: -0.5657 (-0.5651) time: 0.5403 data: 0.0003
[11-23 16:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.726 (6.742) Lt: 6.005 (6.014) Accm: 2.70 (2.72) Acct: 4.24 (4.30) proj_loss: -0.5787 (-0.5748) time: 0.5403 data: 0.0002
[11-23 16:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:03:25 tlr: 0.0002 tnm: 0.31 Lm: 6.802 (6.805) Lt: 6.116 (6.099) Accm: 2.63 (2.63) Acct: 4.14 (4.07) proj_loss: -0.5651 (-0.5632) time: 0.5403 data: 0.0002
[11-23 16:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.796 (6.767) Lt: 6.107 (6.055) Accm: 2.65 (2.76) Acct: 4.18 (4.25) proj_loss: -0.5654 (-0.5657) time: 0.4936 data: 0.0015
[11-23 16:24:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:13:56 (0.501 s / it)
[11-23 16:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.800 (6.755) Lt: 6.078 (6.033) Accm: 2.57 (2.75) Acct: 4.12 (4.29) proj_loss: -0.5649 (-0.5622) time: 0.4936 data: 0.0017
[11-23 16:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.751 (6.751) Lt: 6.013 (6.024) Accm: 2.74 (2.75) Acct: 4.29 (4.34) proj_loss: -0.5767 (-0.5717) time: 0.4936 data: 0.0019
[11-23 16:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.748 (6.730) Lt: 6.014 (5.996) Accm: 2.86 (2.88) Acct: 4.29 (4.46) proj_loss: -0.5421 (-0.5432) time: 0.4936 data: 0.0017
[11-23 16:24:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:13:56 (0.501 s / it)
[11-23 16:24:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:13:56 (0.501 s / it)
[11-23 16:24:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:13:56 (0.501 s / it)
[11-23 16:24:29] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.741 (6.742), Lt: 6.020 (6.020), Acc m&t: 2.78 4.39, Remain: 2 days, 12:54:59, Finish: 2024-11-25 13:19
[11-23 16:24:29] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.741 (6.742), Lt: 6.020 (6.020), Acc m&t: 2.78 4.39, Remain: 2 days, 12:55:27, Finish: 2024-11-25 13:19
[11-23 16:24:29] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.741 (6.742), Lt: 6.020 (6.020), Acc m&t: 2.78 4.39, Remain: 2 days, 12:56:10, Finish: 2024-11-25 13:20
[11-23 16:24:29] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.741 (6.742), Lt: 6.020 (6.020), Acc m&t: 2.78 4.39, Remain: 2 days, 12:56:02, Finish: 2024-11-25 13:20
[11-23 16:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:12:50 tlr: 0.00019 tnm: 0.31 Lm: 6.631 (6.631) Lt: 5.877 (5.877) Accm: 2.95 (2.95) Acct: 4.73 (4.73) proj_loss: -0.5665 (-0.5665) time: 0.4616 data: 0.0003
[11-23 16:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:12:50 tlr: 0.00019 tnm: 0.31 Lm: 6.752 (6.752) Lt: 6.030 (6.030) Accm: 2.75 (2.75) Acct: 4.12 (4.12) proj_loss: -0.5688 (-0.5688) time: 0.4615 data: 0.0003
[11-23 16:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:12:50 tlr: 0.00019 tnm: 0.31 Lm: 6.634 (6.634) Lt: 5.835 (5.835) Accm: 2.96 (2.96) Acct: 4.75 (4.75) proj_loss: -0.5617 (-0.5617) time: 0.4618 data: 0.0004
[11-23 16:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:12:50 tlr: 0.00019 tnm: 0.31 Lm: 6.682 (6.682) Lt: 5.940 (5.940) Accm: 2.63 (2.63) Acct: 4.13 (4.13) proj_loss: -0.5600 (-0.5600) time: 0.4618 data: 0.0003
[11-23 16:27:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:10:11 tlr: 0.00019 tnm: 0.29 Lm: 6.775 (6.775) Lt: 6.047 (6.047) Accm: 2.54 (2.54) Acct: 3.94 (3.94) proj_loss: -0.5490 (-0.5490) time: 0.4903 data: 0.0003
[11-23 16:27:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:10:11 tlr: 0.00019 tnm: 0.29 Lm: 6.715 (6.715) Lt: 5.976 (5.976) Accm: 2.79 (2.79) Acct: 4.41 (4.41) proj_loss: -0.5601 (-0.5601) time: 0.4903 data: 0.0002
[11-23 16:27:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:10:11 tlr: 0.00019 tnm: 0.29 Lm: 6.682 (6.682) Lt: 5.920 (5.920) Accm: 2.88 (2.88) Acct: 4.61 (4.61) proj_loss: -0.5588 (-0.5588) time: 0.4903 data: 0.0002
[11-23 16:27:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:10:11 tlr: 0.00019 tnm: 0.29 Lm: 6.732 (6.732) Lt: 6.036 (6.036) Accm: 2.72 (2.72) Acct: 4.29 (4.29) proj_loss: -0.5670 (-0.5670) time: 0.4903 data: 0.0002
[11-23 16:31:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:06:47 tlr: 0.00019 tnm: 0.31 Lm: 6.646 (6.703) Lt: 5.910 (5.994) Accm: 2.95 (2.82) Acct: 4.72 (4.43) proj_loss: -0.5674 (-0.5686) time: 0.4890 data: 0.0002
[11-23 16:31:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:06:47 tlr: 0.00019 tnm: 0.31 Lm: 6.752 (6.746) Lt: 6.030 (6.016) Accm: 2.75 (2.74) Acct: 4.13 (4.32) proj_loss: -0.5685 (-0.5629) time: 0.4890 data: 0.0002
[11-23 16:31:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:06:47 tlr: 0.00019 tnm: 0.31 Lm: 6.731 (6.718) Lt: 6.005 (5.987) Accm: 2.80 (2.79) Acct: 4.48 (4.42) proj_loss: -0.5617 (-0.5631) time: 0.4890 data: 0.0002
[11-23 16:31:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:06:47 tlr: 0.00019 tnm: 0.31 Lm: 6.859 (6.803) Lt: 6.132 (6.076) Accm: 2.51 (2.53) Acct: 3.75 (3.86) proj_loss: -0.5574 (-0.5518) time: 0.4890 data: 0.0003
[11-23 16:34:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.31 Lm: 6.770 (6.769) Lt: 6.036 (6.038) Accm: 2.57 (2.64) Acct: 3.94 (4.03) proj_loss: -0.5538 (-0.5514) time: 0.4883 data: 0.0002
[11-23 16:34:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.31 Lm: 6.780 (6.769) Lt: 6.062 (6.058) Accm: 2.70 (2.69) Acct: 4.16 (4.28) proj_loss: -0.5665 (-0.5633) time: 0.4883 data: 0.0002
[11-23 16:34:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.31 Lm: 6.695 (6.713) Lt: 5.989 (6.013) Accm: 2.99 (2.91) Acct: 4.71 (4.50) proj_loss: -0.5692 (-0.5692) time: 0.4883 data: 0.0002
[11-23 16:34:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.31 Lm: 6.682 (6.695) Lt: 5.941 (5.960) Accm: 2.83 (2.81) Acct: 4.55 (4.48) proj_loss: -0.5667 (-0.5662) time: 0.4883 data: 0.0002
[11-23 16:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.731 (6.720) Lt: 6.005 (5.988) Accm: 2.80 (2.78) Acct: 4.48 (4.41) proj_loss: -0.5711 (-0.5671) time: 0.5447 data: 0.0020
[11-23 16:38:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:13:36 (0.489 s / it)
[11-23 16:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.774 (6.770) Lt: 6.094 (6.068) Accm: 2.75 (2.72) Acct: 4.18 (4.27) proj_loss: -0.5646 (-0.5596) time: 0.5447 data: 0.0015
[11-23 16:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.646 (6.690) Lt: 5.910 (5.976) Accm: 3.02 (2.97) Acct: 4.72 (4.61) proj_loss: -0.5674 (-0.5669) time: 0.5447 data: 0.0018
[11-23 16:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.859 (6.790) Lt: 6.132 (6.063) Accm: 2.51 (2.60) Acct: 3.87 (4.00) proj_loss: -0.5574 (-0.5528) time: 0.5447 data: 0.0017
[11-23 16:38:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:13:36 (0.489 s / it)
[11-23 16:38:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:13:36 (0.489 s / it)
[11-23 16:38:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:13:36 (0.489 s / it)
[11-23 16:38:06] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.740 (6.740), Lt: 6.020 (6.025), Acc m&t: 2.78 4.39, Remain: 2 days, 12:37:53, Finish: 2024-11-25 13:16
[11-23 16:38:06] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.740 (6.740), Lt: 6.020 (6.025), Acc m&t: 2.78 4.39, Remain: 2 days, 12:37:04, Finish: 2024-11-25 13:15
[11-23 16:38:06] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.740 (6.740), Lt: 6.020 (6.025), Acc m&t: 2.78 4.39, Remain: 2 days, 12:37:18, Finish: 2024-11-25 13:15
[11-23 16:38:06] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.740 (6.740), Lt: 6.020 (6.025), Acc m&t: 2.78 4.39, Remain: 2 days, 12:37:33, Finish: 2024-11-25 13:15
[11-23 16:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:12:57 tlr: 0.00019 tnm: 0.30 Lm: 6.665 (6.665) Lt: 5.970 (5.970) Accm: 2.77 (2.77) Acct: 4.42 (4.42) proj_loss: -0.5761 (-0.5761) time: 0.4659 data: 0.0003
[11-23 16:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:12:55 tlr: 0.00019 tnm: 0.30 Lm: 6.752 (6.752) Lt: 6.000 (6.000) Accm: 2.67 (2.67) Acct: 4.58 (4.58) proj_loss: -0.5566 (-0.5566) time: 0.4647 data: 0.0003
[11-23 16:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:12:55 tlr: 0.00019 tnm: 0.30 Lm: 6.698 (6.698) Lt: 5.931 (5.931) Accm: 2.84 (2.84) Acct: 4.91 (4.91) proj_loss: -0.5586 (-0.5586) time: 0.4649 data: 0.0003
[11-23 16:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:12:56 tlr: 0.00019 tnm: 0.30 Lm: 6.829 (6.829) Lt: 6.089 (6.089) Accm: 2.46 (2.46) Acct: 4.29 (4.29) proj_loss: -0.5478 (-0.5478) time: 0.4650 data: 0.0003
[11-23 16:41:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:11:06 tlr: 0.00019 tnm: 0.32 Lm: 6.840 (6.840) Lt: 6.120 (6.120) Accm: 2.49 (2.49) Acct: 3.99 (3.99) proj_loss: -0.5673 (-0.5673) time: 0.4903 data: 0.0003
[11-23 16:41:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:11:06 tlr: 0.00019 tnm: 0.32 Lm: 6.692 (6.692) Lt: 5.940 (5.940) Accm: 2.77 (2.77) Acct: 4.62 (4.62) proj_loss: -0.5575 (-0.5575) time: 0.4903 data: 0.0002
[11-23 16:41:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:11:06 tlr: 0.00019 tnm: 0.32 Lm: 6.729 (6.729) Lt: 5.992 (5.992) Accm: 2.79 (2.79) Acct: 4.66 (4.66) proj_loss: -0.5512 (-0.5512) time: 0.4903 data: 0.0002
[11-23 16:41:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:11:06 tlr: 0.00019 tnm: 0.32 Lm: 6.747 (6.747) Lt: 6.060 (6.060) Accm: 2.60 (2.60) Acct: 4.10 (4.10) proj_loss: -0.5743 (-0.5743) time: 0.4903 data: 0.0002
[11-23 16:45:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:07:07 tlr: 0.00019 tnm: 0.29 Lm: 6.665 (6.691) Lt: 5.970 (5.974) Accm: 2.77 (2.89) Acct: 4.42 (4.49) proj_loss: -0.5725 (-0.5669) time: 0.4925 data: 0.0002
[11-23 16:45:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:07:07 tlr: 0.00019 tnm: 0.29 Lm: 6.747 (6.735) Lt: 6.000 (6.019) Accm: 2.80 (2.79) Acct: 4.58 (4.57) proj_loss: -0.5522 (-0.5515) time: 0.4925 data: 0.0003
[11-23 16:45:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:07:07 tlr: 0.00019 tnm: 0.29 Lm: 6.829 (6.753) Lt: 6.089 (6.032) Accm: 2.51 (2.66) Acct: 4.29 (4.25) proj_loss: -0.5633 (-0.5660) time: 0.4925 data: 0.0005
[11-23 16:45:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:07:07 tlr: 0.00019 tnm: 0.29 Lm: 6.698 (6.711) Lt: 5.949 (5.963) Accm: 2.84 (2.84) Acct: 4.87 (4.71) proj_loss: -0.5586 (-0.5605) time: 0.4925 data: 0.0002
[11-23 16:48:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:03:30 tlr: 0.00019 tnm: 0.30 Lm: 6.723 (6.763) Lt: 5.978 (6.023) Accm: 2.77 (2.76) Acct: 4.61 (4.53) proj_loss: -0.5626 (-0.5631) time: 0.4834 data: 0.0003
[11-23 16:48:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:03:30 tlr: 0.00019 tnm: 0.30 Lm: 6.750 (6.749) Lt: 6.037 (6.034) Accm: 2.85 (2.82) Acct: 4.56 (4.56) proj_loss: -0.5509 (-0.5510) time: 0.4834 data: 0.0002
[11-23 16:48:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:03:30 tlr: 0.00019 tnm: 0.30 Lm: 6.739 (6.722) Lt: 6.046 (6.011) Accm: 2.75 (2.85) Acct: 4.49 (4.50) proj_loss: -0.5743 (-0.5731) time: 0.4834 data: 0.0002
[11-23 16:48:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:03:30 tlr: 0.00019 tnm: 0.30 Lm: 6.743 (6.729) Lt: 6.000 (6.001) Accm: 2.75 (2.76) Acct: 4.48 (4.36) proj_loss: -0.5610 (-0.5642) time: 0.4834 data: 0.0003
[11-23 16:52:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.30 Lm: 6.737 (6.731) Lt: 5.992 (5.999) Accm: 2.76 (2.76) Acct: 4.30 (4.35) proj_loss: -0.5589 (-0.5631) time: 0.4922 data: 0.0019
[11-23 16:52:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:13:55 (0.500 s / it)
[11-23 16:52:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.30 Lm: 6.749 (6.782) Lt: 6.008 (6.049) Accm: 2.70 (2.72) Acct: 4.34 (4.42) proj_loss: -0.5586 (-0.5605) time: 0.4922 data: 0.0016
[11-23 16:52:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.30 Lm: 6.757 (6.729) Lt: 6.044 (6.018) Accm: 2.73 (2.80) Acct: 4.42 (4.40) proj_loss: -0.5725 (-0.5679) time: 0.4922 data: 0.0015
[11-23 16:52:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.30 Lm: 6.752 (6.755) Lt: 6.051 (6.037) Accm: 2.80 (2.75) Acct: 4.55 (4.45) proj_loss: -0.5522 (-0.5532) time: 0.4922 data: 0.0015
[11-23 16:52:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:13:55 (0.500 s / it)
[11-23 16:52:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:13:55 (0.500 s / it)
[11-23 16:52:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:13:55 (0.500 s / it)
[11-23 16:52:01] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.733 (6.733), Lt: 6.018 (6.018), Acc m&t: 2.78 4.39, Remain: 2 days, 12:31:50, Finish: 2024-11-25 13:23
[11-23 16:52:01] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.733 (6.733), Lt: 6.018 (6.018), Acc m&t: 2.78 4.39, Remain: 2 days, 12:31:04, Finish: 2024-11-25 13:23
[11-23 16:52:01] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.733 (6.733), Lt: 6.018 (6.018), Acc m&t: 2.78 4.39, Remain: 2 days, 12:30:22, Finish: 2024-11-25 13:22
[11-23 16:52:01] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.733 (6.733), Lt: 6.018 (6.018), Acc m&t: 2.78 4.39, Remain: 2 days, 12:30:25, Finish: 2024-11-25 13:22
[11-23 16:52:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:13:40 tlr: 0.00019 tnm: 0.31 Lm: 6.762 (6.762) Lt: 6.033 (6.033) Accm: 2.78 (2.78) Acct: 4.06 (4.06) proj_loss: -0.5618 (-0.5618) time: 0.4916 data: 0.0003
[11-23 16:52:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:13:40 tlr: 0.00019 tnm: 0.31 Lm: 6.796 (6.796) Lt: 6.090 (6.090) Accm: 2.48 (2.48) Acct: 3.91 (3.91) proj_loss: -0.5613 (-0.5613) time: 0.4917 data: 0.0004
[11-23 16:52:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:13:41 tlr: 0.00019 tnm: 0.31 Lm: 6.613 (6.613) Lt: 5.928 (5.928) Accm: 3.26 (3.26) Acct: 4.80 (4.80) proj_loss: -0.5746 (-0.5746) time: 0.4920 data: 0.0004
[11-23 16:52:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:13:40 tlr: 0.00019 tnm: 0.31 Lm: 6.803 (6.803) Lt: 6.081 (6.081) Accm: 2.88 (2.88) Acct: 4.56 (4.56) proj_loss: -0.5400 (-0.5400) time: 0.4918 data: 0.0004
[11-23 16:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.33 Lm: 6.800 (6.800) Lt: 6.083 (6.083) Accm: 2.79 (2.79) Acct: 4.40 (4.40) proj_loss: -0.5576 (-0.5576) time: 0.4868 data: 0.0002
[11-23 16:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.33 Lm: 6.635 (6.635) Lt: 5.904 (5.904) Accm: 3.06 (3.06) Acct: 4.86 (4.86) proj_loss: -0.5613 (-0.5613) time: 0.4868 data: 0.0003
[11-23 16:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.33 Lm: 6.779 (6.779) Lt: 6.087 (6.087) Accm: 2.91 (2.91) Acct: 4.42 (4.42) proj_loss: -0.5661 (-0.5661) time: 0.4868 data: 0.0003
[11-23 16:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.33 Lm: 6.739 (6.739) Lt: 6.033 (6.033) Accm: 2.69 (2.69) Acct: 3.96 (3.96) proj_loss: -0.5606 (-0.5606) time: 0.4868 data: 0.0002
[11-23 16:58:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.31 Lm: 6.716 (6.722) Lt: 6.033 (6.030) Accm: 2.72 (2.70) Acct: 4.06 (4.09) proj_loss: -0.5618 (-0.5660) time: 0.4947 data: 0.0002
[11-23 16:58:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.31 Lm: 6.743 (6.671) Lt: 5.999 (5.936) Accm: 2.56 (2.89) Acct: 3.98 (4.56) proj_loss: -0.5613 (-0.5583) time: 0.4947 data: 0.0003
[11-23 16:58:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.31 Lm: 6.798 (6.759) Lt: 6.081 (6.037) Accm: 2.88 (2.83) Acct: 4.46 (4.42) proj_loss: -0.5433 (-0.5528) time: 0.4947 data: 0.0003
[11-23 16:58:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.31 Lm: 6.673 (6.744) Lt: 6.010 (6.062) Accm: 2.78 (2.87) Acct: 4.15 (4.33) proj_loss: -0.5577 (-0.5622) time: 0.4947 data: 0.0003
[11-23 17:02:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:03:31 tlr: 0.00019 tnm: 0.30 Lm: 6.652 (6.716) Lt: 5.976 (6.032) Accm: 2.99 (2.95) Acct: 4.48 (4.47) proj_loss: -0.5648 (-0.5647) time: 0.4872 data: 0.0003
[11-23 17:02:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:03:31 tlr: 0.00019 tnm: 0.30 Lm: 6.702 (6.706) Lt: 6.028 (5.997) Accm: 2.75 (2.72) Acct: 4.21 (4.17) proj_loss: -0.5606 (-0.5636) time: 0.4872 data: 0.0002
[11-23 17:02:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:03:31 tlr: 0.00019 tnm: 0.30 Lm: 6.768 (6.702) Lt: 6.044 (5.991) Accm: 2.52 (2.79) Acct: 3.94 (4.39) proj_loss: -0.5613 (-0.5599) time: 0.4872 data: 0.0003
[11-23 17:02:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:03:31 tlr: 0.00019 tnm: 0.30 Lm: 6.800 (6.770) Lt: 6.083 (6.057) Accm: 2.79 (2.73) Acct: 4.35 (4.32) proj_loss: -0.5518 (-0.5547) time: 0.4872 data: 0.0003
[11-23 17:06:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.29 Lm: 6.798 (6.760) Lt: 6.081 (6.049) Accm: 2.88 (2.77) Acct: 4.46 (4.39) proj_loss: -0.5604 (-0.5567) time: 0.4937 data: 0.0019
[11-23 17:06:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:13:58 (0.502 s / it)
[11-23 17:06:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.29 Lm: 6.743 (6.683) Lt: 5.999 (5.979) Accm: 2.56 (2.83) Acct: 3.98 (4.37) proj_loss: -0.5613 (-0.5603) time: 0.4937 data: 0.0015
[11-23 17:06:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.29 Lm: 6.670 (6.707) Lt: 5.942 (6.012) Accm: 2.80 (2.92) Acct: 4.58 (4.49) proj_loss: -0.5577 (-0.5608) time: 0.4937 data: 0.0020
[11-23 17:06:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.29 Lm: 6.693 (6.703) Lt: 6.023 (5.988) Accm: 2.78 (2.80) Acct: 4.36 (4.33) proj_loss: -0.5594 (-0.5599) time: 0.4937 data: 0.0018
[11-23 17:06:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:13:58 (0.502 s / it)
[11-23 17:06:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:13:58 (0.502 s / it)
[11-23 17:06:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:13:58 (0.502 s / it)
[11-23 17:06:00] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.733 (6.735), Lt: 6.018 (6.021), Acc m&t: 2.79 4.39, Remain: 2 days, 12:14:15, Finish: 2024-11-25 13:20
[11-23 17:06:00] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.733 (6.735), Lt: 6.018 (6.021), Acc m&t: 2.79 4.39, Remain: 2 days, 12:12:16, Finish: 2024-11-25 13:18
[11-23 17:06:00] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.733 (6.735), Lt: 6.018 (6.021), Acc m&t: 2.79 4.39, Remain: 2 days, 12:13:15, Finish: 2024-11-25 13:19
[11-23 17:06:00] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.733 (6.735), Lt: 6.018 (6.021), Acc m&t: 2.79 4.39, Remain: 2 days, 12:15:11, Finish: 2024-11-25 13:21
[11-23 17:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:12:54 tlr: 0.00019 tnm: 0.31 Lm: 6.782 (6.782) Lt: 6.120 (6.120) Accm: 2.52 (2.52) Acct: 4.01 (4.01) proj_loss: -0.5796 (-0.5796) time: 0.4641 data: 0.0004
[11-23 17:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:12:54 tlr: 0.00019 tnm: 0.31 Lm: 6.803 (6.803) Lt: 6.107 (6.107) Accm: 2.70 (2.70) Acct: 4.24 (4.24) proj_loss: -0.5565 (-0.5565) time: 0.4640 data: 0.0003
[11-23 17:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:12:53 tlr: 0.00019 tnm: 0.31 Lm: 6.765 (6.765) Lt: 6.051 (6.051) Accm: 2.66 (2.66) Acct: 4.13 (4.13) proj_loss: -0.5952 (-0.5952) time: 0.4637 data: 0.0004
[11-23 17:06:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:12:54 tlr: 0.00019 tnm: 0.31 Lm: 6.629 (6.629) Lt: 5.862 (5.862) Accm: 3.18 (3.18) Acct: 5.18 (5.18) proj_loss: -0.5446 (-0.5446) time: 0.4640 data: 0.0004
[11-23 17:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.31 Lm: 6.640 (6.640) Lt: 5.894 (5.894) Accm: 3.04 (3.04) Acct: 4.96 (4.96) proj_loss: -0.5638 (-0.5638) time: 0.4934 data: 0.0003
[11-23 17:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.31 Lm: 6.764 (6.764) Lt: 6.077 (6.077) Accm: 2.61 (2.61) Acct: 3.87 (3.87) proj_loss: -0.5695 (-0.5695) time: 0.4934 data: 0.0003
[11-23 17:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.31 Lm: 6.681 (6.681) Lt: 5.970 (5.970) Accm: 2.95 (2.95) Acct: 4.61 (4.61) proj_loss: -0.5600 (-0.5600) time: 0.4934 data: 0.0003
[11-23 17:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.31 Lm: 6.759 (6.759) Lt: 6.043 (6.043) Accm: 2.59 (2.59) Acct: 4.02 (4.02) proj_loss: -0.5757 (-0.5757) time: 0.4934 data: 0.0003
[11-23 17:12:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.30 Lm: 6.765 (6.774) Lt: 6.051 (6.057) Accm: 2.66 (2.62) Acct: 4.13 (4.07) proj_loss: -0.5667 (-0.5727) time: 0.4907 data: 0.0002
[11-23 17:12:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.30 Lm: 6.636 (6.666) Lt: 5.948 (5.962) Accm: 3.17 (3.02) Acct: 4.98 (4.76) proj_loss: -0.5635 (-0.5612) time: 0.4907 data: 0.0002
[11-23 17:12:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.30 Lm: 6.760 (6.763) Lt: 6.035 (6.057) Accm: 2.70 (2.71) Acct: 4.01 (4.09) proj_loss: -0.5593 (-0.5654) time: 0.4907 data: 0.0003
[11-23 17:12:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.30 Lm: 6.629 (6.623) Lt: 5.862 (5.875) Accm: 3.18 (3.11) Acct: 5.18 (5.03) proj_loss: -0.5660 (-0.5645) time: 0.4907 data: 0.0003
[11-23 17:16:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.640 (6.685) Lt: 5.894 (5.935) Accm: 3.04 (2.92) Acct: 4.96 (4.67) proj_loss: -0.5658 (-0.5648) time: 0.4864 data: 0.0003
[11-23 17:16:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.760 (6.769) Lt: 6.043 (6.049) Accm: 2.60 (2.60) Acct: 4.07 (4.05) proj_loss: -0.5691 (-0.5724) time: 0.4864 data: 0.0003
[11-23 17:16:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.753 (6.735) Lt: 6.025 (6.022) Accm: 2.81 (2.78) Acct: 4.28 (4.24) proj_loss: -0.5589 (-0.5637) time: 0.4864 data: 0.0003
[11-23 17:16:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.703 (6.692) Lt: 6.005 (5.987) Accm: 2.94 (2.92) Acct: 4.61 (4.61) proj_loss: -0.5635 (-0.5646) time: 0.4864 data: 0.0002
[11-23 17:19:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.686 (6.691) Lt: 5.992 (5.988) Accm: 2.91 (2.92) Acct: 4.55 (4.60) proj_loss: -0.5635 (-0.5638) time: 0.4920 data: 0.0015
[11-23 17:19:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:13:54 (0.500 s / it)
[11-23 17:19:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.756 (6.737) Lt: 6.034 (5.992) Accm: 2.66 (2.68) Acct: 4.13 (4.24) proj_loss: -0.5667 (-0.5676) time: 0.4920 data: 0.0019
[11-23 17:19:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.650 (6.680) Lt: 5.925 (5.944) Accm: 3.15 (2.97) Acct: 4.80 (4.70) proj_loss: -0.5659 (-0.5650) time: 0.4920 data: 0.0016
[11-23 17:19:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.746 (6.716) Lt: 6.015 (5.994) Accm: 2.91 (2.83) Acct: 4.55 (4.37) proj_loss: -0.5593 (-0.5652) time: 0.4920 data: 0.0019
[11-23 17:19:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:13:54 (0.500 s / it)
[11-23 17:19:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:13:54 (0.500 s / it)
[11-23 17:19:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:13:54 (0.500 s / it)
[11-23 17:22:04] (home/user/VAR/trainer.py, line 114)=> FID: 4.553418498224403
[11-23 17:22:05] (/home/user/VAR/train.py , line 259)=> [*] [ep89] (val 50000) Lm: 6.7142, Lt: 5.9962, Acc m&t: 2.83 4.45, Val cost: 129.99s
[11-23 17:22:05] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-23 17:22:27] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.714 (6.714), Lt: 5.996 (5.996), Acc m&t: 2.83 4.45, Remain: 2 days, 11:50:02, Finish: 2024-11-25 13:09
[11-23 17:22:27] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.714 (6.714), Lt: 5.996 (5.996), Acc m&t: 2.83 4.45, Remain: 2 days, 11:51:28, Finish: 2024-11-25 13:11
[11-23 17:22:27] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.714 (6.714), Lt: 5.996 (5.996), Acc m&t: 2.83 4.45, Remain: 2 days, 11:52:52, Finish: 2024-11-25 13:12
[11-23 17:22:27] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.714 (6.714), Lt: 5.996 (5.996), Acc m&t: 2.83 4.45, Remain: 2 days, 11:51:58, Finish: 2024-11-25 13:11
[11-23 17:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:13:10 tlr: 0.00019 tnm: 0.29 Lm: 6.769 (6.769) Lt: 6.062 (6.062) Accm: 2.62 (2.62) Acct: 3.99 (3.99) proj_loss: -0.5599 (-0.5599) time: 0.4734 data: 0.0004
[11-23 17:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:13:09 tlr: 0.00019 tnm: 0.29 Lm: 6.678 (6.678) Lt: 5.962 (5.962) Accm: 2.90 (2.90) Acct: 4.49 (4.49) proj_loss: -0.5731 (-0.5731) time: 0.4733 data: 0.0004
[11-23 17:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:13:15 tlr: 0.00019 tnm: 0.29 Lm: 6.705 (6.705) Lt: 5.950 (5.950) Accm: 2.62 (2.62) Acct: 4.25 (4.25) proj_loss: -0.5611 (-0.5611) time: 0.4764 data: 0.0004
[11-23 17:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:13:10 tlr: 0.00019 tnm: 0.29 Lm: 6.622 (6.622) Lt: 5.840 (5.840) Accm: 3.05 (3.05) Acct: 4.84 (4.84) proj_loss: -0.5679 (-0.5679) time: 0.4734 data: 0.0004
[11-23 17:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:10:15 tlr: 0.00019 tnm: 0.30 Lm: 6.669 (6.669) Lt: 5.921 (5.921) Accm: 2.82 (2.82) Acct: 4.43 (4.43) proj_loss: -0.5626 (-0.5626) time: 0.4881 data: 0.0003
[11-23 17:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:10:15 tlr: 0.00019 tnm: 0.30 Lm: 6.658 (6.658) Lt: 5.950 (5.950) Accm: 2.96 (2.96) Acct: 4.67 (4.67) proj_loss: -0.5740 (-0.5740) time: 0.4881 data: 0.0002
[11-23 17:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:10:15 tlr: 0.00019 tnm: 0.30 Lm: 6.711 (6.711) Lt: 6.006 (6.006) Accm: 2.72 (2.72) Acct: 4.27 (4.27) proj_loss: -0.5701 (-0.5701) time: 0.4881 data: 0.0003
[11-23 17:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:10:15 tlr: 0.00019 tnm: 0.30 Lm: 6.801 (6.801) Lt: 6.103 (6.103) Accm: 2.60 (2.60) Acct: 4.06 (4.06) proj_loss: -0.5561 (-0.5561) time: 0.4881 data: 0.0003
[11-23 17:29:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.32 Lm: 6.833 (6.828) Lt: 6.143 (6.147) Accm: 2.59 (2.53) Acct: 3.99 (3.97) proj_loss: -0.5524 (-0.5542) time: 0.4884 data: 0.0003
[11-23 17:29:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.32 Lm: 6.717 (6.725) Lt: 6.002 (5.995) Accm: 2.59 (2.67) Acct: 4.03 (4.14) proj_loss: -0.5679 (-0.5712) time: 0.4884 data: 0.0003
[11-23 17:29:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.32 Lm: 6.718 (6.722) Lt: 6.006 (6.006) Accm: 2.72 (2.72) Acct: 4.29 (4.28) proj_loss: -0.5684 (-0.5696) time: 0.4884 data: 0.0003
[11-23 17:29:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.32 Lm: 6.678 (6.694) Lt: 5.962 (5.995) Accm: 2.90 (2.86) Acct: 4.49 (4.53) proj_loss: -0.5731 (-0.5722) time: 0.4884 data: 0.0002
[11-23 17:32:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:03:25 tlr: 0.00019 tnm: 0.32 Lm: 6.708 (6.706) Lt: 5.973 (5.992) Accm: 2.78 (2.79) Acct: 4.36 (4.45) proj_loss: -0.5740 (-0.5737) time: 0.4903 data: 0.0003
[11-23 17:32:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:03:25 tlr: 0.00019 tnm: 0.32 Lm: 6.724 (6.726) Lt: 6.018 (6.005) Accm: 2.60 (2.66) Acct: 3.97 (4.08) proj_loss: -0.5626 (-0.5630) time: 0.4903 data: 0.0003
[11-23 17:32:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:03:25 tlr: 0.00019 tnm: 0.32 Lm: 6.801 (6.811) Lt: 6.103 (6.111) Accm: 2.60 (2.59) Acct: 4.06 (4.11) proj_loss: -0.5550 (-0.5551) time: 0.4903 data: 0.0003
[11-23 17:32:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:03:25 tlr: 0.00019 tnm: 0.32 Lm: 6.730 (6.754) Lt: 6.034 (6.048) Accm: 2.68 (2.70) Acct: 4.27 (4.25) proj_loss: -0.5648 (-0.5639) time: 0.4903 data: 0.0003
[11-23 17:36:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.742 (6.776) Lt: 6.062 (6.066) Accm: 2.64 (2.67) Acct: 4.25 (4.23) proj_loss: -0.5684 (-0.5651) time: 0.4907 data: 0.0016
[11-23 17:36:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:13:38 (0.490 s / it)
[11-23 17:36:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.678 (6.690) Lt: 5.962 (5.973) Accm: 2.90 (2.83) Acct: 4.49 (4.52) proj_loss: -0.5731 (-0.5718) time: 0.4908 data: 0.0019
[11-23 17:36:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.718 (6.725) Lt: 6.021 (6.008) Accm: 2.62 (2.65) Acct: 4.03 (4.07) proj_loss: -0.5574 (-0.5614) time: 0.4908 data: 0.0018
[11-23 17:36:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.769 (6.795) Lt: 6.062 (6.090) Accm: 2.62 (2.61) Acct: 4.13 (4.17) proj_loss: -0.5576 (-0.5558) time: 0.4908 data: 0.0016
[11-23 17:36:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:13:38 (0.490 s / it)
[11-23 17:36:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:13:38 (0.490 s / it)
[11-23 17:36:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:13:38 (0.490 s / it)
[11-23 17:36:05] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.714 (6.740), Lt: 5.996 (6.022), Acc m&t: 2.83 4.45, Remain: 2 days, 11:30:23, Finish: 2024-11-25 13:06
[11-23 17:36:05] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.714 (6.740), Lt: 5.996 (6.022), Acc m&t: 2.83 4.45, Remain: 2 days, 11:29:28, Finish: 2024-11-25 13:05
[11-23 17:36:05] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.714 (6.740), Lt: 5.996 (6.022), Acc m&t: 2.83 4.45, Remain: 2 days, 11:29:33, Finish: 2024-11-25 13:05
[11-23 17:36:05] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.714 (6.740), Lt: 5.996 (6.022), Acc m&t: 2.83 4.45, Remain: 2 days, 11:30:32, Finish: 2024-11-25 13:06
[11-23 17:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:12:31 tlr: 0.00019 tnm: 0.32 Lm: 6.741 (6.741) Lt: 6.080 (6.080) Accm: 2.62 (2.62) Acct: 3.93 (3.93) proj_loss: -0.5486 (-0.5486) time: 0.4503 data: 0.0004
[11-23 17:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:12:31 tlr: 0.00019 tnm: 0.32 Lm: 6.610 (6.610) Lt: 5.903 (5.903) Accm: 3.03 (3.03) Acct: 4.56 (4.56) proj_loss: -0.5564 (-0.5564) time: 0.4503 data: 0.0003
[11-23 17:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:12:42 tlr: 0.00019 tnm: 0.32 Lm: 6.682 (6.682) Lt: 5.981 (5.981) Accm: 2.80 (2.80) Acct: 4.72 (4.72) proj_loss: -0.5583 (-0.5583) time: 0.4568 data: 0.0003
[11-23 17:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:12:32 tlr: 0.00019 tnm: 0.32 Lm: 6.670 (6.670) Lt: 5.959 (5.959) Accm: 3.13 (3.13) Acct: 5.10 (5.10) proj_loss: -0.5735 (-0.5735) time: 0.4507 data: 0.0004
[11-23 17:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:10:17 tlr: 0.00019 tnm: 0.33 Lm: 6.769 (6.769) Lt: 6.045 (6.045) Accm: 2.67 (2.67) Acct: 4.26 (4.26) proj_loss: -0.5618 (-0.5618) time: 0.5503 data: 0.0003
[11-23 17:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:10:17 tlr: 0.00019 tnm: 0.33 Lm: 6.770 (6.770) Lt: 6.060 (6.060) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.5474 (-0.5474) time: 0.5503 data: 0.0003
[11-23 17:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:10:17 tlr: 0.00019 tnm: 0.33 Lm: 6.701 (6.701) Lt: 5.992 (5.992) Accm: 2.71 (2.71) Acct: 4.15 (4.15) proj_loss: -0.5530 (-0.5530) time: 0.5503 data: 0.0003
[11-23 17:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:10:17 tlr: 0.00019 tnm: 0.33 Lm: 6.740 (6.740) Lt: 6.029 (6.029) Accm: 2.67 (2.67) Acct: 4.38 (4.38) proj_loss: -0.5744 (-0.5744) time: 0.5503 data: 0.0003
[11-23 17:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:06:52 tlr: 0.00019 tnm: 0.31 Lm: 6.682 (6.714) Lt: 5.981 (5.990) Accm: 2.80 (2.73) Acct: 4.68 (4.48) proj_loss: -0.5583 (-0.5680) time: 0.4883 data: 0.0003
[11-23 17:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:06:52 tlr: 0.00019 tnm: 0.31 Lm: 6.731 (6.711) Lt: 6.018 (6.001) Accm: 2.75 (2.72) Acct: 4.17 (4.16) proj_loss: -0.5564 (-0.5563) time: 0.4883 data: 0.0003
[11-23 17:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:06:52 tlr: 0.00019 tnm: 0.31 Lm: 6.754 (6.764) Lt: 6.056 (6.049) Accm: 2.53 (2.63) Acct: 4.06 (4.20) proj_loss: -0.5735 (-0.5673) time: 0.4883 data: 0.0003
[11-23 17:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:06:52 tlr: 0.00019 tnm: 0.31 Lm: 6.741 (6.724) Lt: 6.040 (6.016) Accm: 2.62 (2.71) Acct: 4.44 (4.38) proj_loss: -0.5486 (-0.5503) time: 0.4883 data: 0.0002
[11-23 17:46:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:03:26 tlr: 0.00019 tnm: 0.33 Lm: 6.770 (6.772) Lt: 6.060 (6.087) Accm: 2.59 (2.55) Acct: 4.18 (4.10) proj_loss: -0.5524 (-0.5580) time: 0.4896 data: 0.0003
[11-23 17:46:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:03:26 tlr: 0.00019 tnm: 0.33 Lm: 6.697 (6.714) Lt: 5.947 (5.971) Accm: 2.83 (2.78) Acct: 4.70 (4.55) proj_loss: -0.5637 (-0.5683) time: 0.4896 data: 0.0003
[11-23 17:46:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:03:26 tlr: 0.00019 tnm: 0.33 Lm: 6.670 (6.684) Lt: 5.960 (5.962) Accm: 2.89 (2.82) Acct: 4.36 (4.41) proj_loss: -0.5530 (-0.5545) time: 0.4896 data: 0.0003
[11-23 17:46:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:03:26 tlr: 0.00019 tnm: 0.33 Lm: 6.771 (6.770) Lt: 6.072 (6.058) Accm: 2.62 (2.65) Acct: 4.05 (4.16) proj_loss: -0.5618 (-0.5606) time: 0.4896 data: 0.0003
[11-23 17:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.754 (6.724) Lt: 6.056 (6.010) Accm: 2.71 (2.80) Acct: 4.06 (4.37) proj_loss: -0.5653 (-0.5616) time: 0.4929 data: 0.0019
[11-23 17:49:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:13:41 (0.492 s / it)
[11-23 17:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.731 (6.697) Lt: 6.000 (5.969) Accm: 2.75 (2.80) Acct: 4.30 (4.39) proj_loss: -0.5559 (-0.5548) time: 0.4929 data: 0.0017
[11-23 17:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.799 (6.782) Lt: 6.079 (6.085) Accm: 2.62 (2.58) Acct: 4.32 (4.15) proj_loss: -0.5561 (-0.5600) time: 0.4929 data: 0.0023
[11-23 17:49:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.704 (6.712) Lt: 5.981 (5.974) Accm: 2.80 (2.77) Acct: 4.68 (4.54) proj_loss: -0.5600 (-0.5666) time: 0.4929 data: 0.0017
[11-23 17:49:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:13:41 (0.492 s / it)
[11-23 17:49:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:13:41 (0.492 s / it)
[11-23 17:49:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:13:41 (0.492 s / it)
[11-23 17:49:47] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.714 (6.729), Lt: 5.996 (6.010), Acc m&t: 2.83 4.45, Remain: 2 days, 11:36:34, Finish: 2024-11-25 13:26
[11-23 17:49:47] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.714 (6.729), Lt: 5.996 (6.010), Acc m&t: 2.83 4.45, Remain: 2 days, 11:38:11, Finish: 2024-11-25 13:27
[11-23 17:49:47] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.714 (6.729), Lt: 5.996 (6.010), Acc m&t: 2.83 4.45, Remain: 2 days, 11:35:16, Finish: 2024-11-25 13:25
[11-23 17:49:47] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.714 (6.729), Lt: 5.996 (6.010), Acc m&t: 2.83 4.45, Remain: 2 days, 11:36:02, Finish: 2024-11-25 13:25
[11-23 17:49:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:13:12 tlr: 0.00019 tnm: 0.31 Lm: 6.663 (6.663) Lt: 5.941 (5.941) Accm: 2.94 (2.94) Acct: 4.55 (4.55) proj_loss: -0.5709 (-0.5709) time: 0.4745 data: 0.0003
[11-23 17:49:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:13:12 tlr: 0.00019 tnm: 0.31 Lm: 6.738 (6.738) Lt: 6.034 (6.034) Accm: 2.63 (2.63) Acct: 4.53 (4.53) proj_loss: -0.5671 (-0.5671) time: 0.4749 data: 0.0004
[11-23 17:49:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:13:12 tlr: 0.00019 tnm: 0.31 Lm: 6.844 (6.844) Lt: 6.151 (6.151) Accm: 2.60 (2.60) Acct: 3.89 (3.89) proj_loss: -0.5660 (-0.5660) time: 0.4749 data: 0.0003
[11-23 17:49:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:13:12 tlr: 0.00019 tnm: 0.31 Lm: 6.720 (6.720) Lt: 5.983 (5.983) Accm: 3.02 (3.02) Acct: 4.51 (4.51) proj_loss: -0.5711 (-0.5711) time: 0.4750 data: 0.0003
[11-23 17:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:10:13 tlr: 0.00019 tnm: 0.31 Lm: 6.743 (6.743) Lt: 6.003 (6.003) Accm: 2.94 (2.94) Acct: 4.60 (4.60) proj_loss: -0.5676 (-0.5676) time: 0.4916 data: 0.0003
[11-23 17:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:10:13 tlr: 0.00019 tnm: 0.31 Lm: 6.777 (6.777) Lt: 6.096 (6.096) Accm: 2.64 (2.64) Acct: 4.30 (4.30) proj_loss: -0.5656 (-0.5656) time: 0.4916 data: 0.0002
[11-23 17:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:10:13 tlr: 0.00019 tnm: 0.31 Lm: 6.745 (6.745) Lt: 6.029 (6.029) Accm: 2.66 (2.66) Acct: 4.15 (4.15) proj_loss: -0.5781 (-0.5781) time: 0.4916 data: 0.0002
[11-23 17:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:10:13 tlr: 0.00019 tnm: 0.31 Lm: 6.799 (6.799) Lt: 6.114 (6.114) Accm: 2.63 (2.63) Acct: 4.07 (4.07) proj_loss: -0.5653 (-0.5653) time: 0.4916 data: 0.0003
[11-23 17:56:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.28 Lm: 6.815 (6.805) Lt: 6.089 (6.106) Accm: 2.66 (2.69) Acct: 4.25 (4.20) proj_loss: -0.5646 (-0.5635) time: 0.4941 data: 0.0003
[11-23 17:56:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.28 Lm: 6.738 (6.739) Lt: 6.034 (6.064) Accm: 2.65 (2.82) Acct: 4.53 (4.44) proj_loss: -0.5671 (-0.5675) time: 0.4941 data: 0.0003
[11-23 17:56:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.28 Lm: 6.726 (6.739) Lt: 5.972 (6.010) Accm: 2.89 (2.74) Acct: 4.55 (4.34) proj_loss: -0.5709 (-0.5716) time: 0.4941 data: 0.0003
[11-23 17:56:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.28 Lm: 6.720 (6.732) Lt: 5.983 (5.986) Accm: 3.01 (2.96) Acct: 4.51 (4.56) proj_loss: -0.5641 (-0.5608) time: 0.4941 data: 0.0003
[11-23 17:59:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.740 (6.739) Lt: 6.003 (6.003) Accm: 3.00 (2.97) Acct: 4.58 (4.58) proj_loss: -0.5611 (-0.5602) time: 0.4890 data: 0.0003
[11-23 17:59:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.771 (6.756) Lt: 6.061 (6.070) Accm: 2.64 (2.75) Acct: 4.30 (4.35) proj_loss: -0.5656 (-0.5646) time: 0.4890 data: 0.0003
[11-23 17:59:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.695 (6.719) Lt: 5.956 (5.989) Accm: 2.79 (2.72) Acct: 4.39 (4.32) proj_loss: -0.5647 (-0.5674) time: 0.4890 data: 0.0003
[11-23 17:59:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.799 (6.799) Lt: 6.085 (6.100) Accm: 2.63 (2.64) Acct: 4.16 (4.17) proj_loss: -0.5626 (-0.5628) time: 0.4890 data: 0.0003
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.30 Lm: 6.815 (6.818) Lt: 6.089 (6.108) Accm: 2.60 (2.55) Acct: 4.06 (4.03) proj_loss: -0.5606 (-0.5599) time: 0.4899 data: 0.0015
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:13:42 (0.493 s / it)
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.30 Lm: 6.738 (6.731) Lt: 6.034 (6.053) Accm: 2.65 (2.81) Acct: 4.49 (4.38) proj_loss: -0.5671 (-0.5701) time: 0.4899 data: 0.0016
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.30 Lm: 6.726 (6.722) Lt: 5.952 (5.981) Accm: 2.89 (2.79) Acct: 4.55 (4.48) proj_loss: -0.5709 (-0.5683) time: 0.4899 data: 0.0015
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.30 Lm: 6.720 (6.715) Lt: 5.983 (5.975) Accm: 2.99 (2.97) Acct: 4.65 (4.63) proj_loss: -0.5641 (-0.5649) time: 0.4899 data: 0.0027
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:13:42 (0.493 s / it)
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:13:42 (0.493 s / it)
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:13:42 (0.493 s / it)
[11-23 18:03:30] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.714 (6.724), Lt: 5.996 (6.004), Acc m&t: 2.83 4.45, Remain: 2 days, 10:56:05, Finish: 2024-11-25 12:59
[11-23 18:03:30] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.714 (6.724), Lt: 5.996 (6.004), Acc m&t: 2.83 4.45, Remain: 2 days, 10:56:41, Finish: 2024-11-25 13:00
[11-23 18:03:30] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.714 (6.724), Lt: 5.996 (6.004), Acc m&t: 2.83 4.45, Remain: 2 days, 10:55:53, Finish: 2024-11-25 12:59
[11-23 18:03:30] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.714 (6.724), Lt: 5.996 (6.004), Acc m&t: 2.83 4.45, Remain: 2 days, 10:56:52, Finish: 2024-11-25 13:00
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:12:48 tlr: 0.00019 tnm: 0.31 Lm: 6.736 (6.736) Lt: 6.073 (6.073) Accm: 2.53 (2.53) Acct: 4.06 (4.06) proj_loss: -0.5719 (-0.5719) time: 0.4606 data: 0.0004
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:12:47 tlr: 0.00019 tnm: 0.31 Lm: 6.881 (6.881) Lt: 6.196 (6.196) Accm: 2.31 (2.31) Acct: 3.77 (3.77) proj_loss: -0.5554 (-0.5554) time: 0.4601 data: 0.0004
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:12:49 tlr: 0.00019 tnm: 0.31 Lm: 6.609 (6.609) Lt: 5.902 (5.902) Accm: 2.83 (2.83) Acct: 4.58 (4.58) proj_loss: -0.5712 (-0.5712) time: 0.4613 data: 0.0004
[11-23 18:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:12:50 tlr: 0.00019 tnm: 0.31 Lm: 6.746 (6.746) Lt: 6.010 (6.010) Accm: 2.80 (2.80) Acct: 4.63 (4.63) proj_loss: -0.5498 (-0.5498) time: 0.4614 data: 0.0004
[11-23 18:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.29 Lm: 6.707 (6.707) Lt: 5.978 (5.978) Accm: 2.93 (2.93) Acct: 4.61 (4.61) proj_loss: -0.5677 (-0.5677) time: 0.4940 data: 0.0003
[11-23 18:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.29 Lm: 6.683 (6.683) Lt: 5.978 (5.978) Accm: 2.68 (2.68) Acct: 4.17 (4.17) proj_loss: -0.5563 (-0.5563) time: 0.4940 data: 0.0003
[11-23 18:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.29 Lm: 6.723 (6.723) Lt: 5.992 (5.992) Accm: 2.85 (2.85) Acct: 4.60 (4.60) proj_loss: -0.5646 (-0.5646) time: 0.4940 data: 0.0002
[11-23 18:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.29 Lm: 6.827 (6.827) Lt: 6.128 (6.128) Accm: 2.60 (2.60) Acct: 4.14 (4.14) proj_loss: -0.5473 (-0.5473) time: 0.4940 data: 0.0003
[11-23 18:10:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.33 Lm: 6.846 (6.833) Lt: 6.126 (6.127) Accm: 2.64 (2.61) Acct: 4.20 (4.16) proj_loss: -0.5554 (-0.5508) time: 0.4908 data: 0.0003
[11-23 18:10:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.33 Lm: 6.609 (6.629) Lt: 5.902 (5.941) Accm: 2.83 (2.81) Acct: 4.58 (4.37) proj_loss: -0.5712 (-0.5636) time: 0.4908 data: 0.0003
[11-23 18:10:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.33 Lm: 6.709 (6.716) Lt: 5.988 (5.991) Accm: 2.72 (2.81) Acct: 4.44 (4.55) proj_loss: -0.5574 (-0.5621) time: 0.4908 data: 0.0002
[11-23 18:10:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.33 Lm: 6.689 (6.701) Lt: 5.947 (5.958) Accm: 2.95 (2.94) Acct: 4.63 (4.64) proj_loss: -0.5741 (-0.5698) time: 0.4908 data: 0.0003
[11-23 18:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.31 Lm: 6.679 (6.693) Lt: 5.935 (5.950) Accm: 2.87 (2.87) Acct: 4.61 (4.53) proj_loss: -0.5781 (-0.5729) time: 0.4904 data: 0.0002
[11-23 18:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.31 Lm: 6.811 (6.819) Lt: 6.093 (6.092) Accm: 2.66 (2.63) Acct: 4.22 (4.18) proj_loss: -0.5565 (-0.5565) time: 0.4905 data: 0.0003
[11-23 18:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.31 Lm: 6.664 (6.652) Lt: 5.955 (5.958) Accm: 2.90 (2.85) Acct: 4.61 (4.43) proj_loss: -0.5690 (-0.5644) time: 0.4905 data: 0.0003
[11-23 18:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.31 Lm: 6.706 (6.702) Lt: 5.966 (5.979) Accm: 2.80 (2.82) Acct: 4.55 (4.57) proj_loss: -0.5646 (-0.5656) time: 0.4905 data: 0.0002
[11-23 18:17:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.709 (6.715) Lt: 5.986 (5.980) Accm: 2.82 (2.82) Acct: 4.44 (4.55) proj_loss: -0.5574 (-0.5614) time: 0.4924 data: 0.0016
[11-23 18:17:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:13:37 (0.490 s / it)
[11-23 18:17:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.670 (6.687) Lt: 5.925 (5.945) Accm: 2.95 (2.93) Acct: 4.63 (4.65) proj_loss: -0.5741 (-0.5710) time: 0.4924 data: 0.0016
[11-23 18:17:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.609 (6.640) Lt: 5.902 (5.938) Accm: 2.96 (2.89) Acct: 4.63 (4.58) proj_loss: -0.5712 (-0.5673) time: 0.4924 data: 0.0022
[11-23 18:17:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.776 (6.804) Lt: 6.060 (6.073) Accm: 2.67 (2.68) Acct: 4.24 (4.20) proj_loss: -0.5576 (-0.5592) time: 0.4924 data: 0.0022
[11-23 18:17:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:13:37 (0.490 s / it)
[11-23 18:17:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:13:37 (0.490 s / it)
[11-23 18:17:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:13:37 (0.490 s / it)
[11-23 18:17:08] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.714 (6.727), Lt: 5.996 (6.006), Acc m&t: 2.83 4.45, Remain: 2 days, 11:03:34, Finish: 2024-11-25 13:20
[11-23 18:17:08] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.714 (6.727), Lt: 5.996 (6.006), Acc m&t: 2.83 4.45, Remain: 2 days, 11:03:14, Finish: 2024-11-25 13:20
[11-23 18:17:08] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.714 (6.727), Lt: 5.996 (6.006), Acc m&t: 2.83 4.45, Remain: 2 days, 11:04:25, Finish: 2024-11-25 13:21
[11-23 18:17:08] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.714 (6.727), Lt: 5.996 (6.006), Acc m&t: 2.83 4.45, Remain: 2 days, 11:05:24, Finish: 2024-11-25 13:22
[11-23 18:17:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:12:54 tlr: 0.00019 tnm: 0.31 Lm: 6.850 (6.850) Lt: 6.127 (6.127) Accm: 2.41 (2.41) Acct: 3.94 (3.94) proj_loss: -0.5625 (-0.5625) time: 0.4643 data: 0.0004
[11-23 18:17:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:12:54 tlr: 0.00019 tnm: 0.31 Lm: 6.804 (6.804) Lt: 6.088 (6.088) Accm: 2.51 (2.51) Acct: 4.01 (4.01) proj_loss: -0.5498 (-0.5498) time: 0.4643 data: 0.0004
[11-23 18:17:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 3:38:30 tlr: 0.00019 tnm: 0.31 Lm: 6.784 (6.784) Lt: 6.095 (6.095) Accm: 2.60 (2.60) Acct: 4.08 (4.08) proj_loss: -0.5658 (-0.5658) time: 7.8555 data: 0.0004
[11-23 18:17:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 3:38:30 tlr: 0.00019 tnm: 0.31 Lm: 6.690 (6.690) Lt: 5.913 (5.913) Accm: 2.76 (2.76) Acct: 4.58 (4.58) proj_loss: -0.5627 (-0.5627) time: 7.8550 data: 0.0003
[11-23 18:20:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:10:53 tlr: 0.00019 tnm: 0.31 Lm: 6.765 (6.765) Lt: 6.032 (6.032) Accm: 2.70 (2.70) Acct: 4.42 (4.42) proj_loss: -0.5686 (-0.5686) time: 0.4912 data: 0.0002
[11-23 18:20:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:10:31 tlr: 0.00019 tnm: 0.31 Lm: 6.783 (6.783) Lt: 6.051 (6.051) Accm: 2.55 (2.55) Acct: 4.11 (4.11) proj_loss: -0.5625 (-0.5625) time: 0.4912 data: 0.0002
[11-23 18:20:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:10:31 tlr: 0.00019 tnm: 0.31 Lm: 6.701 (6.701) Lt: 5.981 (5.981) Accm: 2.76 (2.76) Acct: 4.48 (4.48) proj_loss: -0.5618 (-0.5618) time: 0.4912 data: 0.0002
[11-23 18:20:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:10:53 tlr: 0.00019 tnm: 0.31 Lm: 6.796 (6.796) Lt: 6.087 (6.087) Accm: 2.43 (2.43) Acct: 3.87 (3.87) proj_loss: -0.5748 (-0.5748) time: 0.4912 data: 0.0002
[11-23 18:24:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:07:02 tlr: 0.00019 tnm: 0.32 Lm: 6.808 (6.806) Lt: 6.082 (6.086) Accm: 2.43 (2.43) Acct: 3.77 (3.84) proj_loss: -0.5664 (-0.5720) time: 0.4912 data: 0.0003
[11-23 18:24:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:06:54 tlr: 0.00019 tnm: 0.32 Lm: 6.806 (6.736) Lt: 6.114 (6.025) Accm: 2.46 (2.66) Acct: 3.94 (4.22) proj_loss: -0.5624 (-0.5620) time: 0.4912 data: 0.0003
[11-23 18:24:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:06:54 tlr: 0.00019 tnm: 0.32 Lm: 6.772 (6.779) Lt: 6.046 (6.049) Accm: 2.59 (2.56) Acct: 4.05 (4.09) proj_loss: -0.5516 (-0.5589) time: 0.4912 data: 0.0002
[11-23 18:24:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:07:02 tlr: 0.00019 tnm: 0.32 Lm: 6.694 (6.741) Lt: 5.959 (6.008) Accm: 2.75 (2.71) Acct: 4.39 (4.41) proj_loss: -0.5745 (-0.5751) time: 0.4912 data: 0.0002
[11-23 18:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:03:29 tlr: 0.00019 tnm: 0.32 Lm: 6.715 (6.740) Lt: 5.952 (5.992) Accm: 2.76 (2.77) Acct: 4.49 (4.55) proj_loss: -0.5686 (-0.5704) time: 0.4891 data: 0.0002
[11-23 18:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:03:26 tlr: 0.00019 tnm: 0.32 Lm: 6.767 (6.726) Lt: 6.030 (5.994) Accm: 2.59 (2.69) Acct: 4.12 (4.19) proj_loss: -0.5634 (-0.5671) time: 0.4890 data: 0.0002
[11-23 18:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:03:26 tlr: 0.00019 tnm: 0.32 Lm: 6.735 (6.718) Lt: 5.995 (5.988) Accm: 2.62 (2.69) Acct: 4.30 (4.33) proj_loss: -0.5618 (-0.5579) time: 0.4890 data: 0.0003
[11-23 18:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:03:29 tlr: 0.00019 tnm: 0.32 Lm: 6.796 (6.764) Lt: 6.081 (6.049) Accm: 2.51 (2.51) Acct: 3.93 (3.93) proj_loss: -0.5734 (-0.5741) time: 0.4890 data: 0.0003
[11-23 18:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.784 (6.751) Lt: 6.080 (6.035) Accm: 2.60 (2.59) Acct: 4.08 (4.01) proj_loss: -0.5664 (-0.5700) time: 0.4931 data: 0.0016
[11-23 18:30:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:13:50 (0.498 s / it)
[11-23 18:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.737 (6.747) Lt: 5.959 (6.013) Accm: 2.76 (2.78) Acct: 4.48 (4.54) proj_loss: -0.5636 (-0.5690) time: 0.4931 data: 0.0020
[11-23 18:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.690 (6.712) Lt: 5.960 (5.982) Accm: 2.78 (2.71) Acct: 4.34 (4.33) proj_loss: -0.5624 (-0.5589) time: 0.4931 data: 0.0017
[11-23 18:30:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.762 (6.723) Lt: 6.014 (5.991) Accm: 2.60 (2.69) Acct: 4.13 (4.18) proj_loss: -0.5752 (-0.5706) time: 0.4931 data: 0.0020
[11-23 18:30:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:13:50 (0.498 s / it)
[11-23 18:30:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:13:43 (0.493 s / it)
[11-23 18:30:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:13:43 (0.493 s / it)
[11-23 18:30:59] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.712 (6.712), Lt: 5.988 (5.988), Acc m&t: 2.85 4.48, Remain: 2 days, 10:40:24, Finish: 2024-11-25 13:11
[11-23 18:30:59] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.712 (6.712), Lt: 5.988 (5.988), Acc m&t: 2.85 4.48, Remain: 2 days, 10:37:17, Finish: 2024-11-25 13:08
[11-23 18:30:59] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.712 (6.712), Lt: 5.988 (5.988), Acc m&t: 2.85 4.48, Remain: 2 days, 10:36:21, Finish: 2024-11-25 13:07
[11-23 18:30:59] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.712 (6.712), Lt: 5.988 (5.988), Acc m&t: 2.85 4.48, Remain: 2 days, 10:37:27, Finish: 2024-11-25 13:08
[11-23 18:31:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:12:46 tlr: 0.00019 tnm: 0.31 Lm: 6.747 (6.747) Lt: 6.068 (6.068) Accm: 2.78 (2.78) Acct: 4.25 (4.25) proj_loss: -0.5715 (-0.5715) time: 0.4595 data: 0.0003
[11-23 18:31:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:12:47 tlr: 0.00019 tnm: 0.31 Lm: 6.697 (6.697) Lt: 5.995 (5.995) Accm: 3.10 (3.10) Acct: 4.56 (4.56) proj_loss: -0.5633 (-0.5633) time: 0.4600 data: 0.0004
[11-23 18:31:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:12:47 tlr: 0.00019 tnm: 0.31 Lm: 6.767 (6.767) Lt: 6.059 (6.059) Accm: 2.53 (2.53) Acct: 4.05 (4.05) proj_loss: -0.5566 (-0.5566) time: 0.4600 data: 0.0003
[11-23 18:31:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:12:47 tlr: 0.00019 tnm: 0.31 Lm: 6.736 (6.736) Lt: 6.026 (6.026) Accm: 2.93 (2.93) Acct: 4.75 (4.75) proj_loss: -0.5699 (-0.5699) time: 0.4598 data: 0.0004
[11-23 18:34:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.33 Lm: 6.687 (6.687) Lt: 5.967 (5.967) Accm: 3.11 (3.11) Acct: 4.90 (4.90) proj_loss: -0.5657 (-0.5657) time: 0.4903 data: 0.0004
[11-23 18:34:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.33 Lm: 6.712 (6.712) Lt: 5.985 (5.985) Accm: 2.93 (2.93) Acct: 4.44 (4.44) proj_loss: -0.5645 (-0.5645) time: 0.4903 data: 0.0002
[11-23 18:34:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.33 Lm: 6.685 (6.685) Lt: 5.987 (5.987) Accm: 2.75 (2.75) Acct: 4.42 (4.42) proj_loss: -0.5581 (-0.5581) time: 0.4903 data: 0.0003
[11-23 18:34:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:10:10 tlr: 0.00019 tnm: 0.33 Lm: 6.798 (6.798) Lt: 6.089 (6.089) Accm: 2.63 (2.63) Acct: 4.00 (4.00) proj_loss: -0.5628 (-0.5628) time: 0.4903 data: 0.0002
[11-23 18:37:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:06:47 tlr: 0.00019 tnm: 0.29 Lm: 6.757 (6.785) Lt: 6.099 (6.092) Accm: 2.78 (2.72) Acct: 4.25 (4.20) proj_loss: -0.5715 (-0.5723) time: 0.4861 data: 0.0002
[11-23 18:37:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:06:47 tlr: 0.00019 tnm: 0.29 Lm: 6.602 (6.641) Lt: 5.916 (5.933) Accm: 2.97 (2.83) Acct: 4.72 (4.52) proj_loss: -0.5596 (-0.5627) time: 0.4861 data: 0.0003
[11-23 18:37:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:06:47 tlr: 0.00019 tnm: 0.29 Lm: 6.736 (6.713) Lt: 6.026 (5.993) Accm: 2.93 (3.02) Acct: 4.75 (4.71) proj_loss: -0.5699 (-0.5718) time: 0.4861 data: 0.0003
[11-23 18:37:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:06:47 tlr: 0.00019 tnm: 0.29 Lm: 6.726 (6.743) Lt: 5.995 (6.038) Accm: 2.76 (2.83) Acct: 4.32 (4.35) proj_loss: -0.5657 (-0.5691) time: 0.4861 data: 0.0003
[11-23 18:41:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.712 (6.731) Lt: 5.985 (6.023) Accm: 2.70 (2.76) Acct: 4.24 (4.25) proj_loss: -0.5670 (-0.5689) time: 0.4905 data: 0.0002
[11-23 18:41:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.577 (6.609) Lt: 5.871 (5.886) Accm: 2.98 (3.02) Acct: 4.76 (4.88) proj_loss: -0.5606 (-0.5624) time: 0.4905 data: 0.0002
[11-23 18:41:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.752 (6.743) Lt: 6.083 (6.041) Accm: 2.84 (2.83) Acct: 4.42 (4.42) proj_loss: -0.5657 (-0.5693) time: 0.4905 data: 0.0002
[11-23 18:41:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.30 Lm: 6.751 (6.763) Lt: 6.035 (6.051) Accm: 2.89 (2.80) Acct: 4.54 (4.32) proj_loss: -0.5657 (-0.5677) time: 0.4905 data: 0.0003
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.736 (6.739) Lt: 6.026 (6.022) Accm: 2.93 (2.88) Acct: 4.75 (4.48) proj_loss: -0.5692 (-0.5680) time: 0.4910 data: 0.0021
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:13:46 (0.495 s / it)
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.747 (6.712) Lt: 6.068 (6.008) Accm: 2.90 (2.88) Acct: 4.60 (4.49) proj_loss: -0.5715 (-0.5711) time: 0.4910 data: 0.0024
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.726 (6.730) Lt: 5.976 (6.005) Accm: 2.76 (2.77) Acct: 4.32 (4.33) proj_loss: -0.5683 (-0.5689) time: 0.4910 data: 0.0015
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.31 Lm: 6.602 (6.665) Lt: 5.916 (5.957) Accm: 2.97 (2.90) Acct: 4.72 (4.65) proj_loss: -0.5617 (-0.5628) time: 0.4910 data: 0.0019
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:13:46 (0.495 s / it)
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:13:46 (0.495 s / it)
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:13:46 (0.495 s / it)
[11-23 18:44:47] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.712 (6.735), Lt: 5.988 (6.017), Acc m&t: 2.85 4.48, Remain: 2 days, 10:22:06, Finish: 2024-11-25 13:06
[11-23 18:44:47] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.712 (6.735), Lt: 5.988 (6.017), Acc m&t: 2.85 4.48, Remain: 2 days, 10:23:29, Finish: 2024-11-25 13:08
[11-23 18:44:47] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.712 (6.735), Lt: 5.988 (6.017), Acc m&t: 2.85 4.48, Remain: 2 days, 10:22:27, Finish: 2024-11-25 13:07
[11-23 18:44:47] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.712 (6.735), Lt: 5.988 (6.017), Acc m&t: 2.85 4.48, Remain: 2 days, 10:22:27, Finish: 2024-11-25 13:07
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:13:03 tlr: 0.00019 tnm: 0.29 Lm: 6.664 (6.664) Lt: 5.905 (5.905) Accm: 2.78 (2.78) Acct: 4.42 (4.42) proj_loss: -0.5679 (-0.5679) time: 0.4694 data: 0.0003
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:13:03 tlr: 0.00019 tnm: 0.29 Lm: 6.819 (6.819) Lt: 6.143 (6.143) Accm: 2.21 (2.21) Acct: 3.65 (3.65) proj_loss: -0.5919 (-0.5919) time: 0.4697 data: 0.0004
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:13:04 tlr: 0.00019 tnm: 0.29 Lm: 6.824 (6.824) Lt: 6.130 (6.130) Accm: 2.46 (2.46) Acct: 3.93 (3.93) proj_loss: -0.5825 (-0.5825) time: 0.4698 data: 0.0004
[11-23 18:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:13:06 tlr: 0.00019 tnm: 0.29 Lm: 6.710 (6.710) Lt: 5.999 (5.999) Accm: 2.73 (2.73) Acct: 4.41 (4.41) proj_loss: -0.5719 (-0.5719) time: 0.4710 data: 0.0003
[11-23 18:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.31 Lm: 6.723 (6.723) Lt: 6.001 (6.001) Accm: 2.64 (2.64) Acct: 4.36 (4.36) proj_loss: -0.5649 (-0.5649) time: 0.4934 data: 0.0002
[11-23 18:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.31 Lm: 6.688 (6.688) Lt: 5.937 (5.937) Accm: 2.89 (2.89) Acct: 4.52 (4.52) proj_loss: -0.5700 (-0.5700) time: 0.4934 data: 0.0002
[11-23 18:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.31 Lm: 6.743 (6.743) Lt: 6.091 (6.091) Accm: 2.72 (2.72) Acct: 4.18 (4.18) proj_loss: -0.5775 (-0.5775) time: 0.4934 data: 0.0003
[11-23 18:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:10:12 tlr: 0.00019 tnm: 0.31 Lm: 6.742 (6.742) Lt: 6.046 (6.046) Accm: 2.59 (2.59) Acct: 4.16 (4.16) proj_loss: -0.5930 (-0.5930) time: 0.4934 data: 0.0003
[11-23 18:51:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.29 Lm: 6.819 (6.784) Lt: 6.143 (6.089) Accm: 2.46 (2.54) Acct: 3.96 (4.09) proj_loss: -0.5919 (-0.5818) time: 0.4912 data: 0.0003
[11-23 18:51:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.29 Lm: 6.737 (6.773) Lt: 6.003 (6.071) Accm: 2.54 (2.60) Acct: 4.32 (4.17) proj_loss: -0.5607 (-0.5635) time: 0.4912 data: 0.0002
[11-23 18:51:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.29 Lm: 6.712 (6.737) Lt: 5.969 (6.002) Accm: 2.78 (2.75) Acct: 4.42 (4.36) proj_loss: -0.5679 (-0.5619) time: 0.4912 data: 0.0002
[11-23 18:51:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:06:48 tlr: 0.00019 tnm: 0.29 Lm: 6.661 (6.707) Lt: 6.051 (6.032) Accm: 2.98 (2.83) Acct: 4.44 (4.30) proj_loss: -0.5726 (-0.5717) time: 0.4912 data: 0.0003
[11-23 18:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.33 Lm: 6.690 (6.710) Lt: 6.042 (6.032) Accm: 2.95 (2.86) Acct: 4.42 (4.33) proj_loss: -0.5734 (-0.5723) time: 0.4904 data: 0.0003
[11-23 18:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.33 Lm: 6.723 (6.715) Lt: 6.001 (6.002) Accm: 2.64 (2.79) Acct: 4.36 (4.46) proj_loss: -0.5601 (-0.5625) time: 0.4904 data: 0.0002
[11-23 18:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.33 Lm: 6.725 (6.737) Lt: 6.007 (6.013) Accm: 2.80 (2.76) Acct: 4.40 (4.36) proj_loss: -0.5700 (-0.5659) time: 0.4904 data: 0.0002
[11-23 18:54:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:03:24 tlr: 0.00019 tnm: 0.33 Lm: 6.836 (6.801) Lt: 6.146 (6.104) Accm: 2.45 (2.52) Acct: 3.97 (4.06) proj_loss: -0.5757 (-0.5741) time: 0.4904 data: 0.0003
[11-23 18:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.819 (6.784) Lt: 6.143 (6.083) Accm: 2.46 (2.56) Acct: 3.98 (4.14) proj_loss: -0.5595 (-0.5669) time: 0.4944 data: 0.0016
[11-23 18:58:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:13:36 (0.489 s / it)
[11-23 18:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.710 (6.694) Lt: 5.999 (5.972) Accm: 2.73 (2.86) Acct: 4.41 (4.54) proj_loss: -0.5607 (-0.5639) time: 0.4944 data: 0.0016
[11-23 18:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.719 (6.734) Lt: 5.989 (6.008) Accm: 2.81 (2.80) Acct: 4.42 (4.47) proj_loss: -0.5679 (-0.5622) time: 0.4944 data: 0.0017
[11-23 18:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.661 (6.684) Lt: 6.033 (6.007) Accm: 2.98 (2.90) Acct: 4.44 (4.38) proj_loss: -0.5741 (-0.5772) time: 0.4944 data: 0.0019
[11-23 18:58:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:13:36 (0.489 s / it)
[11-23 18:58:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:13:36 (0.489 s / it)
[11-23 18:58:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:13:36 (0.489 s / it)
[11-23 18:58:23] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.712 (6.723), Lt: 5.988 (6.001), Acc m&t: 2.85 4.48, Remain: 2 days, 10:26:46, Finish: 2024-11-25 13:25
[11-23 18:58:23] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.712 (6.723), Lt: 5.988 (6.001), Acc m&t: 2.85 4.48, Remain: 2 days, 10:26:37, Finish: 2024-11-25 13:25
[11-23 18:58:23] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.712 (6.723), Lt: 5.988 (6.001), Acc m&t: 2.85 4.48, Remain: 2 days, 10:27:04, Finish: 2024-11-25 13:25
[11-23 18:58:23] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.712 (6.723), Lt: 5.988 (6.001), Acc m&t: 2.85 4.48, Remain: 2 days, 10:27:26, Finish: 2024-11-25 13:25
[11-23 18:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:13:18 tlr: 0.00019 tnm: 0.31 Lm: 6.809 (6.809) Lt: 6.128 (6.128) Accm: 2.33 (2.33) Acct: 3.70 (3.70) proj_loss: -0.5427 (-0.5427) time: 0.4783 data: 0.0003
[11-23 18:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:13:18 tlr: 0.00019 tnm: 0.31 Lm: 6.593 (6.593) Lt: 5.846 (5.846) Accm: 3.17 (3.17) Acct: 5.06 (5.06) proj_loss: -0.5567 (-0.5567) time: 0.4785 data: 0.0004
[11-23 18:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:13:19 tlr: 0.00019 tnm: 0.31 Lm: 6.724 (6.724) Lt: 6.009 (6.009) Accm: 2.71 (2.71) Acct: 4.25 (4.25) proj_loss: -0.5761 (-0.5761) time: 0.4787 data: 0.0004
[11-23 18:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:13:19 tlr: 0.00019 tnm: 0.31 Lm: 6.757 (6.757) Lt: 5.968 (5.968) Accm: 2.75 (2.75) Acct: 4.41 (4.41) proj_loss: -0.5712 (-0.5712) time: 0.4791 data: 0.0004
[11-23 19:01:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:10:35 tlr: 0.00019 tnm: 0.31 Lm: 6.684 (6.684) Lt: 5.892 (5.892) Accm: 2.88 (2.88) Acct: 4.62 (4.62) proj_loss: -0.5678 (-0.5678) time: 0.4893 data: 0.0003
[11-23 19:01:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:10:35 tlr: 0.00019 tnm: 0.31 Lm: 6.796 (6.796) Lt: 6.080 (6.080) Accm: 2.56 (2.56) Acct: 4.08 (4.08) proj_loss: -0.5565 (-0.5565) time: 0.4893 data: 0.0003
[11-23 19:01:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:10:35 tlr: 0.00019 tnm: 0.31 Lm: 6.684 (6.684) Lt: 5.944 (5.944) Accm: 2.85 (2.85) Acct: 4.39 (4.39) proj_loss: -0.5621 (-0.5621) time: 0.4893 data: 0.0002
[11-23 19:01:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:10:35 tlr: 0.00019 tnm: 0.31 Lm: 6.714 (6.714) Lt: 6.005 (6.005) Accm: 2.78 (2.78) Acct: 4.49 (4.49) proj_loss: -0.5589 (-0.5589) time: 0.4893 data: 0.0003
[11-23 19:05:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:06:59 tlr: 0.00019 tnm: 0.33 Lm: 6.809 (6.767) Lt: 6.128 (6.061) Accm: 2.33 (2.61) Acct: 3.70 (4.19) proj_loss: -0.5751 (-0.5661) time: 0.4914 data: 0.0003
[11-23 19:05:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:06:59 tlr: 0.00019 tnm: 0.33 Lm: 6.774 (6.715) Lt: 6.043 (5.980) Accm: 2.56 (2.75) Acct: 4.15 (4.31) proj_loss: -0.5567 (-0.5602) time: 0.4914 data: 0.0002
[11-23 19:05:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:06:59 tlr: 0.00019 tnm: 0.33 Lm: 6.724 (6.760) Lt: 6.009 (6.031) Accm: 2.71 (2.69) Acct: 4.25 (4.23) proj_loss: -0.5552 (-0.5561) time: 0.4914 data: 0.0002
[11-23 19:05:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:06:59 tlr: 0.00019 tnm: 0.33 Lm: 6.738 (6.702) Lt: 5.968 (5.934) Accm: 2.79 (2.85) Acct: 4.41 (4.46) proj_loss: -0.5643 (-0.5644) time: 0.4914 data: 0.0003
[11-23 19:08:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:03:28 tlr: 0.00019 tnm: 0.33 Lm: 6.694 (6.689) Lt: 5.935 (5.926) Accm: 2.77 (2.82) Acct: 4.42 (4.45) proj_loss: -0.5610 (-0.5626) time: 0.4885 data: 0.0003
[11-23 19:08:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:03:28 tlr: 0.00019 tnm: 0.33 Lm: 6.767 (6.726) Lt: 6.034 (5.991) Accm: 2.69 (2.77) Acct: 4.30 (4.34) proj_loss: -0.5566 (-0.5583) time: 0.4885 data: 0.0002
[11-23 19:08:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:03:28 tlr: 0.00019 tnm: 0.33 Lm: 6.756 (6.751) Lt: 6.034 (6.030) Accm: 2.78 (2.76) Acct: 4.49 (4.48) proj_loss: -0.5638 (-0.5627) time: 0.4885 data: 0.0003
[11-23 19:08:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:03:28 tlr: 0.00019 tnm: 0.33 Lm: 6.721 (6.749) Lt: 6.007 (6.024) Accm: 2.72 (2.70) Acct: 4.20 (4.21) proj_loss: -0.5565 (-0.5565) time: 0.4885 data: 0.0003
[11-23 19:12:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.724 (6.750) Lt: 6.005 (6.020) Accm: 2.72 (2.70) Acct: 4.25 (4.27) proj_loss: -0.5578 (-0.5568) time: 0.4962 data: 0.0022
[11-23 19:12:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:13:49 (0.497 s / it)
[11-23 19:12:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.738 (6.712) Lt: 5.968 (5.958) Accm: 2.75 (2.75) Acct: 4.41 (4.34) proj_loss: -0.5589 (-0.5619) time: 0.4962 data: 0.0018
[11-23 19:12:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.774 (6.762) Lt: 6.043 (6.039) Accm: 2.56 (2.70) Acct: 4.15 (4.22) proj_loss: -0.5567 (-0.5635) time: 0.4962 data: 0.0016
[11-23 19:12:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.703 (6.740) Lt: 5.997 (6.023) Accm: 2.91 (2.79) Acct: 4.42 (4.47) proj_loss: -0.5751 (-0.5672) time: 0.4962 data: 0.0019
[11-23 19:12:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:13:49 (0.497 s / it)
[11-23 19:12:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:13:49 (0.497 s / it)
[11-23 19:12:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:13:49 (0.497 s / it)
[11-23 19:12:12] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.712 (6.723), Lt: 5.988 (6.000), Acc m&t: 2.85 4.48, Remain: 2 days, 10:31:25, Finish: 2024-11-25 13:43
[11-23 19:12:12] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.712 (6.723), Lt: 5.988 (6.000), Acc m&t: 2.85 4.48, Remain: 2 days, 10:32:12, Finish: 2024-11-25 13:44
[11-23 19:12:12] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.712 (6.723), Lt: 5.988 (6.000), Acc m&t: 2.85 4.48, Remain: 2 days, 10:29:01, Finish: 2024-11-25 13:41
[11-23 19:12:12] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.712 (6.723), Lt: 5.988 (6.000), Acc m&t: 2.85 4.48, Remain: 2 days, 10:30:44, Finish: 2024-11-25 13:42
[11-23 19:12:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:12:59 tlr: 0.00019 tnm: 0.32 Lm: 6.510 (6.510) Lt: 5.763 (5.763) Accm: 3.23 (3.23) Acct: 5.15 (5.15) proj_loss: -0.5777 (-0.5777) time: 0.4670 data: 0.0004
[11-23 19:12:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:12:56 tlr: 0.00019 tnm: 0.32 Lm: 6.674 (6.674) Lt: 5.947 (5.947) Accm: 2.96 (2.96) Acct: 4.67 (4.67) proj_loss: -0.5639 (-0.5639) time: 0.4654 data: 0.0004
[11-23 19:12:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:12:58 tlr: 0.00019 tnm: 0.32 Lm: 6.681 (6.681) Lt: 5.912 (5.912) Accm: 2.56 (2.56) Acct: 3.94 (3.94) proj_loss: -0.5439 (-0.5439) time: 0.4664 data: 0.0004
[11-23 19:12:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:12:59 tlr: 0.00019 tnm: 0.32 Lm: 6.719 (6.719) Lt: 6.001 (6.001) Accm: 2.48 (2.48) Acct: 3.48 (3.48) proj_loss: -0.5590 (-0.5590) time: 0.4669 data: 0.0003
[11-23 19:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:10:13 tlr: 0.00019 tnm: 0.28 Lm: 6.689 (6.689) Lt: 5.952 (5.952) Accm: 2.67 (2.67) Acct: 4.08 (4.08) proj_loss: -0.5567 (-0.5567) time: 0.4960 data: 0.0003
[11-23 19:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:10:13 tlr: 0.00019 tnm: 0.28 Lm: 6.744 (6.744) Lt: 6.008 (6.008) Accm: 2.53 (2.53) Acct: 3.87 (3.87) proj_loss: -0.5524 (-0.5524) time: 0.4960 data: 0.0003
[11-23 19:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:10:13 tlr: 0.00019 tnm: 0.28 Lm: 6.589 (6.589) Lt: 5.889 (5.889) Accm: 3.22 (3.22) Acct: 5.18 (5.18) proj_loss: -0.5754 (-0.5754) time: 0.4960 data: 0.0003
[11-23 19:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:10:13 tlr: 0.00019 tnm: 0.28 Lm: 6.733 (6.733) Lt: 6.045 (6.045) Accm: 2.85 (2.85) Acct: 4.30 (4.30) proj_loss: -0.5688 (-0.5688) time: 0.4960 data: 0.0003
[11-23 19:19:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.33 Lm: 6.792 (6.754) Lt: 6.119 (6.069) Accm: 2.74 (2.73) Acct: 3.94 (4.09) proj_loss: -0.5736 (-0.5756) time: 0.4895 data: 0.0003
[11-23 19:19:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.33 Lm: 6.658 (6.628) Lt: 5.903 (5.888) Accm: 2.86 (2.92) Acct: 4.68 (4.53) proj_loss: -0.5590 (-0.5605) time: 0.4895 data: 0.0003
[11-23 19:19:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.33 Lm: 6.668 (6.635) Lt: 6.015 (5.938) Accm: 3.21 (3.06) Acct: 5.15 (4.88) proj_loss: -0.5777 (-0.5767) time: 0.4895 data: 0.0003
[11-23 19:19:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.33 Lm: 6.774 (6.754) Lt: 6.064 (6.027) Accm: 2.56 (2.60) Acct: 3.94 (4.03) proj_loss: -0.5470 (-0.5506) time: 0.4895 data: 0.0003
[11-23 19:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:03:28 tlr: 0.00019 tnm: 0.33 Lm: 6.727 (6.724) Lt: 5.988 (5.990) Accm: 2.64 (2.72) Acct: 4.16 (4.26) proj_loss: -0.5539 (-0.5580) time: 0.4898 data: 0.0003
[11-23 19:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:03:28 tlr: 0.00019 tnm: 0.33 Lm: 6.698 (6.663) Lt: 6.025 (5.965) Accm: 2.97 (2.95) Acct: 4.72 (4.69) proj_loss: -0.5754 (-0.5694) time: 0.4898 data: 0.0003
[11-23 19:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:03:28 tlr: 0.00019 tnm: 0.33 Lm: 6.626 (6.619) Lt: 5.881 (5.880) Accm: 3.04 (2.99) Acct: 4.86 (4.66) proj_loss: -0.5617 (-0.5615) time: 0.4898 data: 0.0003
[11-23 19:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:03:28 tlr: 0.00019 tnm: 0.33 Lm: 6.771 (6.753) Lt: 6.089 (6.067) Accm: 2.71 (2.72) Acct: 4.11 (4.14) proj_loss: -0.5688 (-0.5719) time: 0.4898 data: 0.0003
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.769 (6.756) Lt: 6.078 (6.069) Accm: 2.68 (2.68) Acct: 4.12 (4.13) proj_loss: -0.5736 (-0.5757) time: 0.4863 data: 0.0016
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:13:49 (0.497 s / it)
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.668 (6.641) Lt: 6.015 (5.917) Accm: 3.21 (3.04) Acct: 5.15 (4.89) proj_loss: -0.5777 (-0.5718) time: 0.4863 data: 0.0016
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.681 (6.704) Lt: 5.912 (5.955) Accm: 2.72 (2.80) Acct: 4.37 (4.42) proj_loss: -0.5573 (-0.5579) time: 0.4863 data: 0.0020
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.656 (6.627) Lt: 5.903 (5.890) Accm: 3.07 (3.01) Acct: 4.92 (4.71) proj_loss: -0.5644 (-0.5625) time: 0.4863 data: 0.0018
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:13:49 (0.497 s / it)
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:13:49 (0.497 s / it)
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:13:49 (0.497 s / it)
[11-23 19:26:02] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.712 (6.716), Lt: 5.988 (5.996), Acc m&t: 2.85 4.48, Remain: 2 days, 9:17:30, Finish: 2024-11-25 12:43
[11-23 19:26:02] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.712 (6.716), Lt: 5.988 (5.996), Acc m&t: 2.85 4.48, Remain: 2 days, 9:17:03, Finish: 2024-11-25 12:43
[11-23 19:26:02] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.712 (6.716), Lt: 5.988 (5.996), Acc m&t: 2.85 4.48, Remain: 2 days, 9:17:08, Finish: 2024-11-25 12:43
[11-23 19:26:02] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.712 (6.716), Lt: 5.988 (5.996), Acc m&t: 2.85 4.48, Remain: 2 days, 9:17:08, Finish: 2024-11-25 12:43
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:13:01 tlr: 0.00019 tnm: 0.28 Lm: 6.691 (6.691) Lt: 6.005 (6.005) Accm: 2.78 (2.78) Acct: 4.10 (4.10) proj_loss: -0.5614 (-0.5614) time: 0.4681 data: 0.0003
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:13:01 tlr: 0.00019 tnm: 0.28 Lm: 6.547 (6.547) Lt: 5.785 (5.785) Accm: 3.30 (3.30) Acct: 5.32 (5.32) proj_loss: -0.5601 (-0.5601) time: 0.4684 data: 0.0003
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:12:52 tlr: 0.00019 tnm: 0.28 Lm: 6.663 (6.663) Lt: 5.917 (5.917) Accm: 2.99 (2.99) Acct: 4.72 (4.72) proj_loss: -0.5712 (-0.5712) time: 0.4629 data: 0.0004
[11-23 19:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:12:52 tlr: 0.00019 tnm: 0.28 Lm: 6.709 (6.709) Lt: 5.991 (5.991) Accm: 2.89 (2.89) Acct: 4.60 (4.60) proj_loss: -0.5732 (-0.5732) time: 0.4631 data: 0.0003
[11-23 19:29:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:10:14 tlr: 0.00019 tnm: 0.35 Lm: 6.687 (6.687) Lt: 5.986 (5.986) Accm: 2.71 (2.71) Acct: 4.17 (4.17) proj_loss: -0.5624 (-0.5624) time: 0.4841 data: 0.0002
[11-23 19:29:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:10:14 tlr: 0.00019 tnm: 0.35 Lm: 6.751 (6.751) Lt: 6.020 (6.020) Accm: 2.80 (2.80) Acct: 4.35 (4.35) proj_loss: -0.5625 (-0.5625) time: 0.4841 data: 0.0003
[11-23 19:29:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:10:14 tlr: 0.00019 tnm: 0.35 Lm: 6.583 (6.583) Lt: 5.807 (5.807) Accm: 3.10 (3.10) Acct: 4.98 (4.98) proj_loss: -0.5681 (-0.5681) time: 0.4841 data: 0.0003
[11-23 19:29:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:10:14 tlr: 0.00019 tnm: 0.35 Lm: 6.727 (6.727) Lt: 6.023 (6.023) Accm: 2.85 (2.85) Acct: 4.60 (4.60) proj_loss: -0.5662 (-0.5662) time: 0.4842 data: 0.0003
[11-23 19:32:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.32 Lm: 6.709 (6.718) Lt: 5.991 (5.999) Accm: 2.89 (2.87) Acct: 4.60 (4.65) proj_loss: -0.5611 (-0.5645) time: 0.4902 data: 0.0003
[11-23 19:32:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.32 Lm: 6.667 (6.723) Lt: 5.947 (5.996) Accm: 2.96 (2.85) Acct: 4.63 (4.44) proj_loss: -0.5611 (-0.5621) time: 0.4902 data: 0.0003
[11-23 19:32:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.32 Lm: 6.620 (6.625) Lt: 5.829 (5.865) Accm: 2.89 (2.94) Acct: 4.65 (4.69) proj_loss: -0.5667 (-0.5676) time: 0.4902 data: 0.0003
[11-23 19:32:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:06:49 tlr: 0.00019 tnm: 0.32 Lm: 6.691 (6.719) Lt: 5.992 (5.988) Accm: 2.76 (2.73) Acct: 4.24 (4.22) proj_loss: -0.5614 (-0.5583) time: 0.4902 data: 0.0002
[11-23 19:36:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.30 Lm: 6.687 (6.709) Lt: 5.980 (5.970) Accm: 2.77 (2.82) Acct: 4.28 (4.39) proj_loss: -0.5600 (-0.5584) time: 0.4903 data: 0.0002
[11-23 19:36:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.30 Lm: 6.665 (6.677) Lt: 5.932 (5.932) Accm: 2.98 (2.97) Acct: 4.67 (4.75) proj_loss: -0.5662 (-0.5664) time: 0.4903 data: 0.0003
[11-23 19:36:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.30 Lm: 6.727 (6.742) Lt: 6.023 (6.033) Accm: 2.85 (2.73) Acct: 4.60 (4.36) proj_loss: -0.5672 (-0.5724) time: 0.4903 data: 0.0003
[11-23 19:36:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.30 Lm: 6.642 (6.635) Lt: 5.882 (5.882) Accm: 3.04 (3.00) Acct: 4.72 (4.71) proj_loss: -0.5708 (-0.5695) time: 0.4903 data: 0.0003
[11-23 19:39:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.30 Lm: 6.664 (6.641) Lt: 5.909 (5.888) Accm: 2.89 (2.95) Acct: 4.65 (4.66) proj_loss: -0.5676 (-0.5691) time: 0.4908 data: 0.0016
[11-23 19:39:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:13:46 (0.495 s / it)
[11-23 19:39:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.30 Lm: 6.667 (6.687) Lt: 5.947 (5.963) Accm: 2.96 (2.90) Acct: 4.63 (4.61) proj_loss: -0.5712 (-0.5689) time: 0.4908 data: 0.0016
[11-23 19:39:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.30 Lm: 6.746 (6.781) Lt: 6.055 (6.080) Accm: 2.80 (2.63) Acct: 4.60 (4.21) proj_loss: -0.5731 (-0.5725) time: 0.4908 data: 0.0019
[11-23 19:39:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.30 Lm: 6.686 (6.704) Lt: 5.992 (5.975) Accm: 2.78 (2.82) Acct: 4.25 (4.37) proj_loss: -0.5614 (-0.5663) time: 0.4908 data: 0.0020
[11-23 19:39:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:13:46 (0.495 s / it)
[11-23 19:39:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:13:46 (0.495 s / it)
[11-23 19:39:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:13:46 (0.495 s / it)
[11-23 19:41:59] (home/user/VAR/trainer.py, line 114)=> FID: 4.313554528730776
[11-23 19:42:00] (/home/user/VAR/train.py , line 259)=> [*] [ep99] (val 50000) Lm: 6.7088, Lt: 5.9872, Acc m&t: 2.85 4.49, Val cost: 130.93s
[11-23 19:42:00] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-23 19:43:55] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.709 (6.709), Lt: 5.987 (5.987), Acc m&t: 2.85 4.49, Remain: 2 days, 9:36:04, Finish: 2024-11-25 13:15
[11-23 19:43:55] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.709 (6.709), Lt: 5.987 (5.987), Acc m&t: 2.85 4.49, Remain: 2 days, 9:36:28, Finish: 2024-11-25 13:16
[11-23 19:43:55] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.709 (6.709), Lt: 5.987 (5.987), Acc m&t: 2.85 4.49, Remain: 2 days, 9:35:52, Finish: 2024-11-25 13:15
[11-23 19:43:55] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.709 (6.709), Lt: 5.987 (5.987), Acc m&t: 2.85 4.49, Remain: 2 days, 9:37:00, Finish: 2024-11-25 13:16
[11-23 19:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:13:05 tlr: 0.00018 tnm: 0.30 Lm: 6.599 (6.599) Lt: 5.888 (5.888) Accm: 2.96 (2.96) Acct: 4.60 (4.60) proj_loss: -0.5618 (-0.5618) time: 0.4706 data: 0.0004
[11-23 19:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:13:05 tlr: 0.00018 tnm: 0.30 Lm: 6.777 (6.777) Lt: 6.058 (6.058) Accm: 2.67 (2.67) Acct: 4.39 (4.39) proj_loss: -0.5599 (-0.5599) time: 0.4709 data: 0.0004
[11-23 19:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:13:05 tlr: 0.00018 tnm: 0.30 Lm: 6.620 (6.620) Lt: 5.890 (5.890) Accm: 3.04 (3.04) Acct: 4.61 (4.61) proj_loss: -0.5717 (-0.5717) time: 0.4707 data: 0.0004
[11-23 19:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:13:07 tlr: 0.00018 tnm: 0.30 Lm: 6.748 (6.748) Lt: 6.048 (6.048) Accm: 2.50 (2.50) Acct: 3.98 (3.98) proj_loss: -0.5609 (-0.5609) time: 0.4718 data: 0.0004
[11-23 19:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:10:23 tlr: 0.00018 tnm: 0.32 Lm: 6.752 (6.752) Lt: 6.060 (6.060) Accm: 2.51 (2.51) Acct: 4.06 (4.06) proj_loss: -0.5613 (-0.5613) time: 0.5409 data: 0.0003
[11-23 19:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:10:23 tlr: 0.00018 tnm: 0.32 Lm: 6.643 (6.643) Lt: 5.958 (5.958) Accm: 2.92 (2.92) Acct: 4.50 (4.50) proj_loss: -0.5633 (-0.5633) time: 0.5410 data: 0.0003
[11-23 19:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:10:23 tlr: 0.00018 tnm: 0.32 Lm: 6.749 (6.749) Lt: 6.038 (6.038) Accm: 2.80 (2.80) Acct: 4.36 (4.36) proj_loss: -0.5715 (-0.5715) time: 0.5410 data: 0.0003
[11-23 19:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:10:23 tlr: 0.00018 tnm: 0.32 Lm: 6.760 (6.760) Lt: 6.057 (6.057) Accm: 2.70 (2.70) Acct: 4.23 (4.23) proj_loss: -0.5618 (-0.5618) time: 0.5409 data: 0.0002
[11-23 19:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:06:53 tlr: 0.00018 tnm: 0.33 Lm: 6.777 (6.773) Lt: 6.058 (6.062) Accm: 2.70 (2.70) Acct: 4.30 (4.25) proj_loss: -0.5599 (-0.5567) time: 0.4912 data: 0.0002
[11-23 19:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:06:53 tlr: 0.00018 tnm: 0.33 Lm: 6.661 (6.720) Lt: 5.940 (6.005) Accm: 2.95 (2.85) Acct: 4.60 (4.44) proj_loss: -0.5717 (-0.5780) time: 0.4912 data: 0.0003
[11-23 19:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:06:53 tlr: 0.00018 tnm: 0.33 Lm: 6.756 (6.788) Lt: 6.071 (6.080) Accm: 2.53 (2.53) Acct: 4.15 (4.12) proj_loss: -0.5609 (-0.5511) time: 0.4913 data: 0.0003
[11-23 19:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:06:53 tlr: 0.00018 tnm: 0.33 Lm: 6.687 (6.690) Lt: 6.029 (5.989) Accm: 2.88 (2.84) Acct: 4.44 (4.48) proj_loss: -0.5647 (-0.5668) time: 0.4913 data: 0.0003
[11-23 19:54:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:03:26 tlr: 0.00018 tnm: 0.34 Lm: 6.735 (6.728) Lt: 6.040 (6.013) Accm: 2.78 (2.77) Acct: 4.44 (4.47) proj_loss: -0.5633 (-0.5634) time: 0.4892 data: 0.0003
[11-23 19:54:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:03:26 tlr: 0.00018 tnm: 0.34 Lm: 6.760 (6.738) Lt: 6.057 (6.023) Accm: 2.71 (2.75) Acct: 4.35 (4.37) proj_loss: -0.5599 (-0.5574) time: 0.4892 data: 0.0003
[11-23 19:54:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:03:26 tlr: 0.00018 tnm: 0.34 Lm: 6.668 (6.709) Lt: 5.956 (5.997) Accm: 2.92 (2.86) Acct: 4.57 (4.47) proj_loss: -0.5760 (-0.5786) time: 0.4892 data: 0.0003
[11-23 19:54:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:03:26 tlr: 0.00018 tnm: 0.34 Lm: 6.780 (6.792) Lt: 6.081 (6.083) Accm: 2.55 (2.56) Acct: 4.18 (4.14) proj_loss: -0.5613 (-0.5554) time: 0.4892 data: 0.0003
[11-23 19:57:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.756 (6.768) Lt: 6.071 (6.055) Accm: 2.58 (2.59) Acct: 4.17 (4.14) proj_loss: -0.5616 (-0.5587) time: 0.4922 data: 0.0017
[11-23 19:57:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:13:42 (0.493 s / it)
[11-23 19:57:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.744 (6.731) Lt: 6.057 (6.014) Accm: 2.73 (2.76) Acct: 4.37 (4.37) proj_loss: -0.5599 (-0.5606) time: 0.4923 data: 0.0015
[11-23 19:57:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.676 (6.710) Lt: 5.940 (5.981) Accm: 2.90 (2.86) Acct: 4.55 (4.48) proj_loss: -0.5717 (-0.5740) time: 0.4922 data: 0.0018
[11-23 19:57:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.783 (6.741) Lt: 6.051 (6.028) Accm: 2.67 (2.73) Acct: 4.44 (4.38) proj_loss: -0.5647 (-0.5642) time: 0.4922 data: 0.0022
[11-23 19:57:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:13:42 (0.493 s / it)
[11-23 19:57:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:13:42 (0.493 s / it)
[11-23 19:57:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:13:42 (0.493 s / it)
[11-23 19:57:37] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.709 (6.717), Lt: 5.987 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 9:17:29, Finish: 2024-11-25 13:15
[11-23 19:57:37] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.709 (6.717), Lt: 5.987 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 9:16:57, Finish: 2024-11-25 13:14
[11-23 19:57:37] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.709 (6.717), Lt: 5.987 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 9:17:21, Finish: 2024-11-25 13:14
[11-23 19:57:37] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.709 (6.717), Lt: 5.987 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 9:17:02, Finish: 2024-11-25 13:14
[11-23 19:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:12:59 tlr: 0.00018 tnm: 0.32 Lm: 6.761 (6.761) Lt: 6.090 (6.090) Accm: 2.66 (2.66) Acct: 3.99 (3.99) proj_loss: -0.5877 (-0.5877) time: 0.4673 data: 0.0004
[11-23 19:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:13:01 tlr: 0.00018 tnm: 0.32 Lm: 6.779 (6.779) Lt: 6.040 (6.040) Accm: 2.71 (2.71) Acct: 4.29 (4.29) proj_loss: -0.5555 (-0.5555) time: 0.4682 data: 0.0004
[11-23 19:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:12:53 tlr: 0.00018 tnm: 0.32 Lm: 6.798 (6.798) Lt: 6.084 (6.084) Accm: 2.53 (2.53) Acct: 3.75 (3.75) proj_loss: -0.5660 (-0.5660) time: 0.4635 data: 0.0004
[11-23 19:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:13:30 tlr: 0.00018 tnm: 0.32 Lm: 6.613 (6.613) Lt: 5.879 (5.879) Accm: 3.02 (3.02) Acct: 4.92 (4.92) proj_loss: -0.5574 (-0.5574) time: 0.4853 data: 0.0004
[11-23 20:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.30 Lm: 6.715 (6.715) Lt: 5.993 (5.993) Accm: 2.84 (2.84) Acct: 4.55 (4.55) proj_loss: -0.5697 (-0.5697) time: 0.4920 data: 0.0003
[11-23 20:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.30 Lm: 6.745 (6.745) Lt: 6.065 (6.065) Accm: 2.60 (2.60) Acct: 3.99 (3.99) proj_loss: -0.5818 (-0.5818) time: 0.4921 data: 0.0003
[11-23 20:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.30 Lm: 6.812 (6.812) Lt: 6.101 (6.101) Accm: 2.50 (2.50) Acct: 3.80 (3.80) proj_loss: -0.5583 (-0.5583) time: 0.4920 data: 0.0003
[11-23 20:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.30 Lm: 6.711 (6.711) Lt: 5.977 (5.977) Accm: 2.87 (2.87) Acct: 4.48 (4.48) proj_loss: -0.5674 (-0.5674) time: 0.4920 data: 0.0003
[11-23 20:04:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:06:50 tlr: 0.00018 tnm: 0.31 Lm: 6.779 (6.817) Lt: 6.040 (6.114) Accm: 2.71 (2.65) Acct: 4.29 (4.08) proj_loss: -0.5679 (-0.5675) time: 0.4893 data: 0.0003
[11-23 20:04:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:06:50 tlr: 0.00018 tnm: 0.31 Lm: 6.728 (6.713) Lt: 6.040 (6.007) Accm: 2.66 (2.78) Acct: 3.99 (4.39) proj_loss: -0.5759 (-0.5722) time: 0.4893 data: 0.0003
[11-23 20:04:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:06:50 tlr: 0.00018 tnm: 0.31 Lm: 6.645 (6.692) Lt: 5.903 (5.963) Accm: 2.98 (2.89) Acct: 4.65 (4.58) proj_loss: -0.5753 (-0.5716) time: 0.4893 data: 0.0002
[11-23 20:04:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:06:50 tlr: 0.00018 tnm: 0.31 Lm: 6.826 (6.821) Lt: 6.117 (6.118) Accm: 2.47 (2.49) Acct: 3.84 (3.82) proj_loss: -0.5660 (-0.5645) time: 0.4893 data: 0.0003
[11-23 20:08:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:03:28 tlr: 0.00018 tnm: 0.32 Lm: 6.812 (6.812) Lt: 6.103 (6.111) Accm: 2.50 (2.50) Acct: 3.85 (3.95) proj_loss: -0.5705 (-0.5671) time: 0.4920 data: 0.0003
[11-23 20:08:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:03:28 tlr: 0.00018 tnm: 0.32 Lm: 6.711 (6.708) Lt: 5.993 (5.992) Accm: 2.85 (2.84) Acct: 4.49 (4.54) proj_loss: -0.5645 (-0.5657) time: 0.4920 data: 0.0003
[11-23 20:08:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:03:28 tlr: 0.00018 tnm: 0.32 Lm: 6.662 (6.688) Lt: 5.901 (5.947) Accm: 2.93 (2.89) Acct: 4.67 (4.61) proj_loss: -0.5787 (-0.5760) time: 0.4920 data: 0.0002
[11-23 20:08:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:03:28 tlr: 0.00018 tnm: 0.32 Lm: 6.718 (6.777) Lt: 6.000 (6.075) Accm: 2.87 (2.77) Acct: 4.48 (4.30) proj_loss: -0.5727 (-0.5700) time: 0.4920 data: 0.0003
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.777 (6.777) Lt: 6.025 (6.065) Accm: 2.78 (2.78) Acct: 4.37 (4.31) proj_loss: -0.5689 (-0.5698) time: 0.4937 data: 0.0016
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:13:50 (0.498 s / it)
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.645 (6.676) Lt: 5.903 (5.940) Accm: 2.98 (2.94) Acct: 4.68 (4.69) proj_loss: -0.5753 (-0.5727) time: 0.4937 data: 0.0016
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.798 (6.769) Lt: 6.089 (6.059) Accm: 2.53 (2.60) Acct: 3.86 (4.11) proj_loss: -0.5680 (-0.5673) time: 0.4937 data: 0.0019
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.728 (6.746) Lt: 6.040 (6.041) Accm: 2.66 (2.77) Acct: 3.99 (4.42) proj_loss: -0.5759 (-0.5684) time: 0.4937 data: 0.0018
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:13:50 (0.498 s / it)
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:13:50 (0.498 s / it)
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:13:50 (0.498 s / it)
[11-23 20:11:28] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.709 (6.713), Lt: 5.987 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 9:15:25, Finish: 2024-11-25 13:26
[11-23 20:11:28] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.709 (6.713), Lt: 5.987 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 9:15:15, Finish: 2024-11-25 13:26
[11-23 20:11:28] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.709 (6.713), Lt: 5.987 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 9:15:49, Finish: 2024-11-25 13:27
[11-23 20:11:28] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.709 (6.713), Lt: 5.987 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 9:14:54, Finish: 2024-11-25 13:26
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:12:53 tlr: 0.00018 tnm: 0.31 Lm: 6.799 (6.799) Lt: 6.107 (6.107) Accm: 2.56 (2.56) Acct: 3.98 (3.98) proj_loss: -0.5637 (-0.5637) time: 0.4632 data: 0.0004
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:12:52 tlr: 0.00018 tnm: 0.31 Lm: 6.986 (6.986) Lt: 6.313 (6.313) Accm: 2.00 (2.00) Acct: 3.13 (3.13) proj_loss: -0.5577 (-0.5577) time: 0.4631 data: 0.0003
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:12:53 tlr: 0.00018 tnm: 0.31 Lm: 6.903 (6.903) Lt: 6.221 (6.221) Accm: 2.05 (2.05) Acct: 2.81 (2.81) proj_loss: -0.5556 (-0.5556) time: 0.4635 data: 0.0003
[11-23 20:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:12:53 tlr: 0.00018 tnm: 0.31 Lm: 6.482 (6.482) Lt: 5.730 (5.730) Accm: 3.57 (3.57) Acct: 5.51 (5.51) proj_loss: -0.5667 (-0.5667) time: 0.4635 data: 0.0004
[11-23 20:14:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.31 Lm: 6.618 (6.618) Lt: 5.889 (5.889) Accm: 3.18 (3.18) Acct: 4.78 (4.78) proj_loss: -0.5717 (-0.5717) time: 0.4891 data: 0.0003
[11-23 20:14:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.31 Lm: 6.842 (6.842) Lt: 6.186 (6.186) Accm: 2.57 (2.57) Acct: 3.97 (3.97) proj_loss: -0.5579 (-0.5579) time: 0.4891 data: 0.0002
[11-23 20:14:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.31 Lm: 6.787 (6.787) Lt: 6.058 (6.058) Accm: 2.45 (2.45) Acct: 3.71 (3.71) proj_loss: -0.5567 (-0.5567) time: 0.4891 data: 0.0003
[11-23 20:14:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.31 Lm: 6.802 (6.802) Lt: 6.076 (6.076) Accm: 2.52 (2.52) Acct: 4.03 (4.03) proj_loss: -0.5562 (-0.5562) time: 0.4891 data: 0.0002
[11-23 20:18:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.799 (6.734) Lt: 6.046 (6.007) Accm: 2.56 (2.73) Acct: 4.08 (4.32) proj_loss: -0.5637 (-0.5631) time: 0.4875 data: 0.0002
[11-23 20:18:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.698 (6.752) Lt: 6.060 (6.068) Accm: 3.14 (2.87) Acct: 4.80 (4.46) proj_loss: -0.5577 (-0.5517) time: 0.4875 data: 0.0002
[11-23 20:18:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.691 (6.643) Lt: 5.968 (5.916) Accm: 2.97 (3.11) Acct: 4.65 (4.73) proj_loss: -0.5748 (-0.5727) time: 0.4875 data: 0.0003
[11-23 20:18:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.848 (6.807) Lt: 6.157 (6.091) Accm: 2.44 (2.45) Acct: 3.93 (3.78) proj_loss: -0.5579 (-0.5575) time: 0.4876 data: 0.0003
[11-23 20:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.31 Lm: 6.787 (6.787) Lt: 6.094 (6.076) Accm: 2.64 (2.57) Acct: 4.24 (3.97) proj_loss: -0.5584 (-0.5603) time: 0.4895 data: 0.0003
[11-23 20:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.31 Lm: 6.720 (6.749) Lt: 6.019 (6.045) Accm: 2.92 (2.83) Acct: 4.57 (4.43) proj_loss: -0.5579 (-0.5562) time: 0.4895 data: 0.0003
[11-23 20:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.31 Lm: 6.748 (6.725) Lt: 6.025 (6.006) Accm: 2.77 (2.79) Acct: 4.45 (4.45) proj_loss: -0.5703 (-0.5702) time: 0.4895 data: 0.0003
[11-23 20:21:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.31 Lm: 6.696 (6.657) Lt: 5.981 (5.935) Accm: 2.99 (3.09) Acct: 4.71 (4.74) proj_loss: -0.5708 (-0.5674) time: 0.4895 data: 0.0003
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.702 (6.682) Lt: 5.995 (5.963) Accm: 2.97 (3.01) Acct: 4.65 (4.65) proj_loss: -0.5748 (-0.5743) time: 0.4883 data: 0.0017
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:13:48 (0.496 s / it)
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.718 (6.743) Lt: 6.010 (6.038) Accm: 2.92 (2.85) Acct: 4.51 (4.45) proj_loss: -0.5580 (-0.5597) time: 0.4883 data: 0.0016
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.729 (6.725) Lt: 6.018 (6.009) Accm: 2.80 (2.79) Acct: 4.29 (4.41) proj_loss: -0.5637 (-0.5641) time: 0.4883 data: 0.0020
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.761 (6.782) Lt: 6.061 (6.073) Accm: 2.58 (2.57) Acct: 4.08 (3.99) proj_loss: -0.5590 (-0.5655) time: 0.4883 data: 0.0016
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:13:48 (0.496 s / it)
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:13:48 (0.496 s / it)
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:13:48 (0.496 s / it)
[11-23 20:25:17] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.709 (6.711), Lt: 5.982 (5.982), Acc m&t: 2.85 4.49, Remain: 2 days, 8:25:14, Finish: 2024-11-25 12:50
[11-23 20:25:17] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.709 (6.711), Lt: 5.982 (5.982), Acc m&t: 2.85 4.49, Remain: 2 days, 8:27:07, Finish: 2024-11-25 12:52
[11-23 20:25:17] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.709 (6.711), Lt: 5.982 (5.982), Acc m&t: 2.85 4.49, Remain: 2 days, 8:26:35, Finish: 2024-11-25 12:51
[11-23 20:25:17] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.709 (6.711), Lt: 5.982 (5.982), Acc m&t: 2.85 4.49, Remain: 2 days, 8:27:24, Finish: 2024-11-25 12:52
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:13:35 tlr: 0.00018 tnm: 0.30 Lm: 6.709 (6.709) Lt: 5.966 (5.966) Accm: 2.84 (2.84) Acct: 4.30 (4.30) proj_loss: -0.5535 (-0.5535) time: 0.4886 data: 0.0003
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:13:36 tlr: 0.00018 tnm: 0.30 Lm: 6.758 (6.758) Lt: 6.058 (6.058) Accm: 2.82 (2.82) Acct: 4.77 (4.77) proj_loss: -0.5496 (-0.5496) time: 0.4890 data: 0.0003
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:13:36 tlr: 0.00018 tnm: 0.30 Lm: 6.637 (6.637) Lt: 5.874 (5.874) Accm: 3.07 (3.07) Acct: 4.89 (4.89) proj_loss: -0.5540 (-0.5540) time: 0.4891 data: 0.0004
[11-23 20:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:13:35 tlr: 0.00018 tnm: 0.30 Lm: 6.757 (6.757) Lt: 5.981 (5.981) Accm: 2.65 (2.65) Acct: 4.34 (4.34) proj_loss: -0.5534 (-0.5534) time: 0.4884 data: 0.0003
[11-23 20:28:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.30 Lm: 6.642 (6.642) Lt: 5.880 (5.880) Accm: 2.87 (2.87) Acct: 4.55 (4.55) proj_loss: -0.5480 (-0.5480) time: 0.4883 data: 0.0003
[11-23 20:28:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.30 Lm: 6.718 (6.718) Lt: 6.007 (6.007) Accm: 2.78 (2.78) Acct: 4.39 (4.39) proj_loss: -0.5620 (-0.5620) time: 0.4883 data: 0.0003
[11-23 20:28:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.30 Lm: 6.648 (6.648) Lt: 5.896 (5.896) Accm: 3.04 (3.04) Acct: 4.86 (4.86) proj_loss: -0.5554 (-0.5554) time: 0.4883 data: 0.0003
[11-23 20:28:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.30 Lm: 6.702 (6.702) Lt: 5.957 (5.957) Accm: 2.81 (2.81) Acct: 4.48 (4.48) proj_loss: -0.5721 (-0.5721) time: 0.4883 data: 0.0002
[11-23 20:32:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:06:52 tlr: 0.00018 tnm: 0.32 Lm: 6.694 (6.654) Lt: 5.947 (5.922) Accm: 2.84 (2.86) Acct: 4.39 (4.45) proj_loss: -0.5746 (-0.5730) time: 0.4911 data: 0.0002
[11-23 20:32:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:06:52 tlr: 0.00018 tnm: 0.32 Lm: 6.658 (6.702) Lt: 5.917 (5.965) Accm: 3.01 (2.91) Acct: 4.82 (4.63) proj_loss: -0.5569 (-0.5595) time: 0.4911 data: 0.0003
[11-23 20:32:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:06:52 tlr: 0.00018 tnm: 0.32 Lm: 6.727 (6.721) Lt: 5.990 (6.001) Accm: 2.79 (2.78) Acct: 4.49 (4.42) proj_loss: -0.5496 (-0.5576) time: 0.4911 data: 0.0003
[11-23 20:32:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:06:52 tlr: 0.00018 tnm: 0.32 Lm: 6.641 (6.642) Lt: 5.965 (5.908) Accm: 2.96 (2.90) Acct: 4.70 (4.60) proj_loss: -0.5534 (-0.5547) time: 0.4911 data: 0.0002
[11-23 20:35:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:03:26 tlr: 0.00018 tnm: 0.32 Lm: 6.699 (6.680) Lt: 5.973 (5.951) Accm: 2.91 (2.89) Acct: 4.70 (4.63) proj_loss: -0.5607 (-0.5591) time: 0.4897 data: 0.0003
[11-23 20:35:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:03:26 tlr: 0.00018 tnm: 0.32 Lm: 6.680 (6.657) Lt: 5.929 (5.919) Accm: 2.90 (2.89) Acct: 4.52 (4.52) proj_loss: -0.5644 (-0.5683) time: 0.4897 data: 0.0002
[11-23 20:35:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:03:26 tlr: 0.00018 tnm: 0.32 Lm: 6.703 (6.689) Lt: 5.973 (5.969) Accm: 2.80 (2.88) Acct: 4.63 (4.60) proj_loss: -0.5620 (-0.5627) time: 0.4897 data: 0.0003
[11-23 20:35:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:03:26 tlr: 0.00018 tnm: 0.32 Lm: 6.695 (6.709) Lt: 5.957 (5.973) Accm: 2.92 (2.89) Acct: 4.65 (4.59) proj_loss: -0.5622 (-0.5648) time: 0.4897 data: 0.0003
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.732 (6.720) Lt: 5.998 (5.991) Accm: 2.86 (2.89) Acct: 4.48 (4.53) proj_loss: -0.5622 (-0.5643) time: 0.4932 data: 0.0015
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:13:41 (0.492 s / it)
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.694 (6.672) Lt: 5.947 (5.940) Accm: 2.84 (2.81) Acct: 4.39 (4.44) proj_loss: -0.5746 (-0.5743) time: 0.4932 data: 0.0016
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.664 (6.677) Lt: 5.965 (5.952) Accm: 2.96 (2.92) Acct: 4.70 (4.66) proj_loss: -0.5680 (-0.5637) time: 0.4932 data: 0.0018
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.707 (6.693) Lt: 5.967 (5.968) Accm: 2.79 (2.84) Acct: 4.49 (4.54) proj_loss: -0.5744 (-0.5663) time: 0.4932 data: 0.0018
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:13:41 (0.492 s / it)
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:13:41 (0.492 s / it)
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:13:41 (0.492 s / it)
[11-23 20:38:59] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.709 (6.713), Lt: 5.982 (5.987), Acc m&t: 2.85 4.49, Remain: 2 days, 8:56:16, Finish: 2024-11-25 13:35
[11-23 20:38:59] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.709 (6.713), Lt: 5.982 (5.987), Acc m&t: 2.85 4.49, Remain: 2 days, 8:56:18, Finish: 2024-11-25 13:35
[11-23 20:38:59] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.709 (6.713), Lt: 5.982 (5.987), Acc m&t: 2.85 4.49, Remain: 2 days, 8:57:14, Finish: 2024-11-25 13:36
[11-23 20:38:59] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.709 (6.713), Lt: 5.982 (5.987), Acc m&t: 2.85 4.49, Remain: 2 days, 8:55:36, Finish: 2024-11-25 13:34
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:12:56 tlr: 0.00018 tnm: 0.34 Lm: 6.704 (6.704) Lt: 5.980 (5.980) Accm: 2.78 (2.78) Acct: 4.39 (4.39) proj_loss: -0.5479 (-0.5479) time: 0.4651 data: 0.0003
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:12:56 tlr: 0.00018 tnm: 0.34 Lm: 6.509 (6.509) Lt: 5.816 (5.816) Accm: 3.24 (3.24) Acct: 5.08 (5.08) proj_loss: -0.5618 (-0.5618) time: 0.4650 data: 0.0003
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:12:47 tlr: 0.00018 tnm: 0.34 Lm: 6.456 (6.456) Lt: 5.692 (5.692) Accm: 3.18 (3.18) Acct: 4.80 (4.80) proj_loss: -0.5714 (-0.5714) time: 0.4599 data: 0.0003
[11-23 20:38:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:12:47 tlr: 0.00018 tnm: 0.34 Lm: 6.810 (6.810) Lt: 6.111 (6.111) Accm: 2.41 (2.41) Acct: 3.53 (3.53) proj_loss: -0.5546 (-0.5546) time: 0.4600 data: 0.0004
[11-23 20:42:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:10:18 tlr: 0.00018 tnm: 0.33 Lm: 6.729 (6.729) Lt: 6.031 (6.031) Accm: 2.70 (2.70) Acct: 4.11 (4.11) proj_loss: -0.5792 (-0.5792) time: 0.4919 data: 0.0003
[11-23 20:42:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:10:18 tlr: 0.00018 tnm: 0.33 Lm: 6.639 (6.639) Lt: 5.963 (5.963) Accm: 3.01 (3.01) Acct: 4.69 (4.69) proj_loss: -0.5639 (-0.5639) time: 0.4919 data: 0.0002
[11-23 20:42:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:10:18 tlr: 0.00018 tnm: 0.33 Lm: 6.687 (6.687) Lt: 5.936 (5.936) Accm: 2.86 (2.86) Acct: 4.54 (4.54) proj_loss: -0.5525 (-0.5525) time: 0.4919 data: 0.0002
[11-23 20:42:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:10:18 tlr: 0.00018 tnm: 0.33 Lm: 6.545 (6.545) Lt: 5.807 (5.807) Accm: 3.03 (3.03) Acct: 4.67 (4.67) proj_loss: -0.5632 (-0.5632) time: 0.4919 data: 0.0003
[11-23 20:45:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:06:52 tlr: 0.00018 tnm: 0.32 Lm: 6.633 (6.599) Lt: 5.923 (5.876) Accm: 2.91 (2.99) Acct: 4.80 (4.72) proj_loss: -0.5714 (-0.5672) time: 0.4891 data: 0.0003
[11-23 20:45:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:06:52 tlr: 0.00018 tnm: 0.32 Lm: 6.704 (6.726) Lt: 5.980 (5.983) Accm: 2.78 (2.76) Acct: 4.39 (4.37) proj_loss: -0.5509 (-0.5520) time: 0.4891 data: 0.0002
[11-23 20:45:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:06:52 tlr: 0.00018 tnm: 0.32 Lm: 6.680 (6.653) Lt: 5.932 (5.953) Accm: 2.91 (2.97) Acct: 4.49 (4.63) proj_loss: -0.5661 (-0.5704) time: 0.4891 data: 0.0002
[11-23 20:45:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:06:52 tlr: 0.00018 tnm: 0.32 Lm: 6.648 (6.702) Lt: 5.962 (6.008) Accm: 2.99 (2.83) Acct: 4.68 (4.32) proj_loss: -0.5882 (-0.5822) time: 0.4891 data: 0.0003
[11-23 20:49:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.34 Lm: 6.699 (6.714) Lt: 6.026 (6.029) Accm: 2.96 (2.86) Acct: 4.52 (4.33) proj_loss: -0.5875 (-0.5833) time: 0.4956 data: 0.0003
[11-23 20:49:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.34 Lm: 6.655 (6.619) Lt: 5.929 (5.891) Accm: 2.94 (2.98) Acct: 4.77 (4.73) proj_loss: -0.5648 (-0.5650) time: 0.4956 data: 0.0003
[11-23 20:49:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.34 Lm: 6.725 (6.717) Lt: 6.021 (6.015) Accm: 2.84 (2.83) Acct: 4.40 (4.43) proj_loss: -0.5639 (-0.5672) time: 0.4956 data: 0.0003
[11-23 20:49:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.34 Lm: 6.707 (6.722) Lt: 5.973 (5.979) Accm: 2.79 (2.76) Acct: 4.42 (4.39) proj_loss: -0.5540 (-0.5578) time: 0.4956 data: 0.0002
[11-23 20:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.710 (6.749) Lt: 5.980 (6.026) Accm: 2.78 (2.69) Acct: 4.39 (4.25) proj_loss: -0.5572 (-0.5654) time: 0.4921 data: 0.0015
[11-23 20:52:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:13:54 (0.500 s / it)
[11-23 20:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.769 (6.740) Lt: 6.110 (6.037) Accm: 2.78 (2.80) Acct: 4.30 (4.37) proj_loss: -0.5661 (-0.5675) time: 0.4921 data: 0.0015
[11-23 20:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.633 (6.610) Lt: 5.923 (5.871) Accm: 2.97 (3.02) Acct: 4.80 (4.77) proj_loss: -0.5714 (-0.5696) time: 0.4921 data: 0.0017
[11-23 20:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.734 (6.718) Lt: 6.050 (6.033) Accm: 2.94 (2.84) Acct: 4.36 (4.33) proj_loss: -0.5867 (-0.5787) time: 0.4921 data: 0.0020
[11-23 20:52:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:13:54 (0.500 s / it)
[11-23 20:52:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:13:54 (0.500 s / it)
[11-23 20:52:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:13:54 (0.500 s / it)
[11-23 20:52:53] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.992), Acc m&t: 2.85 4.49, Remain: 2 days, 8:26:18, Finish: 2024-11-25 13:19
[11-23 20:52:53] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.992), Acc m&t: 2.85 4.49, Remain: 2 days, 8:26:46, Finish: 2024-11-25 13:19
[11-23 20:52:53] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.992), Acc m&t: 2.85 4.49, Remain: 2 days, 8:26:14, Finish: 2024-11-25 13:19
[11-23 20:52:53] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.992), Acc m&t: 2.85 4.49, Remain: 2 days, 8:25:53, Finish: 2024-11-25 13:18
[11-23 20:52:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:12:32 tlr: 0.00018 tnm: 0.31 Lm: 6.670 (6.670) Lt: 5.917 (5.917) Accm: 2.96 (2.96) Acct: 4.94 (4.94) proj_loss: -0.5783 (-0.5783) time: 0.4511 data: 0.0004
[11-23 20:52:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:12:35 tlr: 0.00018 tnm: 0.31 Lm: 6.693 (6.693) Lt: 5.978 (5.978) Accm: 2.59 (2.59) Acct: 3.96 (3.96) proj_loss: -0.5572 (-0.5572) time: 0.4524 data: 0.0004
[11-23 20:52:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:12:33 tlr: 0.00018 tnm: 0.31 Lm: 6.698 (6.698) Lt: 5.954 (5.954) Accm: 2.98 (2.98) Acct: 4.70 (4.70) proj_loss: -0.5577 (-0.5577) time: 0.4515 data: 0.0004
[11-23 20:52:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:12:36 tlr: 0.00018 tnm: 0.31 Lm: 6.670 (6.670) Lt: 5.934 (5.934) Accm: 3.36 (3.36) Acct: 5.54 (5.54) proj_loss: -0.5754 (-0.5754) time: 0.4532 data: 0.0004
[11-23 20:56:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.31 Lm: 6.785 (6.785) Lt: 6.064 (6.064) Accm: 2.87 (2.87) Acct: 4.74 (4.74) proj_loss: -0.5641 (-0.5641) time: 0.4905 data: 0.0003
[11-23 20:56:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.31 Lm: 6.688 (6.688) Lt: 5.965 (5.965) Accm: 2.77 (2.77) Acct: 4.30 (4.30) proj_loss: -0.5542 (-0.5542) time: 0.4905 data: 0.0002
[11-23 20:56:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.31 Lm: 6.629 (6.629) Lt: 5.881 (5.881) Accm: 3.00 (3.00) Acct: 4.85 (4.85) proj_loss: -0.5796 (-0.5796) time: 0.4905 data: 0.0002
[11-23 20:56:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.31 Lm: 6.712 (6.712) Lt: 5.969 (5.969) Accm: 2.88 (2.88) Acct: 4.52 (4.52) proj_loss: -0.5705 (-0.5705) time: 0.4905 data: 0.0003
[11-23 20:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.31 Lm: 6.698 (6.644) Lt: 5.954 (5.877) Accm: 2.98 (3.00) Acct: 4.70 (4.70) proj_loss: -0.5833 (-0.5759) time: 0.4881 data: 0.0003
[11-23 20:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.31 Lm: 6.684 (6.686) Lt: 5.978 (5.979) Accm: 2.95 (2.90) Acct: 4.65 (4.47) proj_loss: -0.5572 (-0.5615) time: 0.4881 data: 0.0002
[11-23 20:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.31 Lm: 6.766 (6.778) Lt: 5.975 (6.034) Accm: 2.85 (2.87) Acct: 4.55 (4.68) proj_loss: -0.5567 (-0.5616) time: 0.4881 data: 0.0003
[11-23 20:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.31 Lm: 6.614 (6.624) Lt: 5.896 (5.886) Accm: 2.96 (2.99) Acct: 4.75 (4.73) proj_loss: -0.5783 (-0.5715) time: 0.4881 data: 0.0004
[11-23 21:03:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.33 Lm: 6.631 (6.630) Lt: 5.902 (5.892) Accm: 3.00 (3.01) Acct: 4.79 (4.75) proj_loss: -0.5718 (-0.5699) time: 0.4915 data: 0.0003
[11-23 21:03:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.33 Lm: 6.718 (6.743) Lt: 5.955 (5.996) Accm: 3.02 (2.95) Acct: 4.88 (4.81) proj_loss: -0.5552 (-0.5596) time: 0.4915 data: 0.0003
[11-23 21:03:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.33 Lm: 6.712 (6.704) Lt: 5.969 (5.958) Accm: 2.88 (2.79) Acct: 4.52 (4.38) proj_loss: -0.5715 (-0.5719) time: 0.4915 data: 0.0003
[11-23 21:03:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.33 Lm: 6.689 (6.710) Lt: 5.993 (5.997) Accm: 2.80 (2.84) Acct: 4.44 (4.41) proj_loss: -0.5643 (-0.5639) time: 0.4916 data: 0.0003
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.684 (6.698) Lt: 5.978 (5.982) Accm: 2.69 (2.81) Acct: 4.24 (4.34) proj_loss: -0.5714 (-0.5669) time: 0.4910 data: 0.0015
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:13:50 (0.498 s / it)
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.648 (6.640) Lt: 5.908 (5.906) Accm: 2.99 (3.01) Acct: 4.75 (4.74) proj_loss: -0.5783 (-0.5723) time: 0.4910 data: 0.0017
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.737 (6.742) Lt: 5.975 (5.996) Accm: 2.85 (2.86) Acct: 4.55 (4.60) proj_loss: -0.5567 (-0.5604) time: 0.4910 data: 0.0021
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.713 (6.706) Lt: 5.954 (5.948) Accm: 2.98 (2.84) Acct: 4.70 (4.54) proj_loss: -0.5598 (-0.5692) time: 0.4910 data: 0.0016
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:13:50 (0.498 s / it)
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:13:50 (0.498 s / it)
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:13:50 (0.498 s / it)
[11-23 21:06:44] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.709 (6.713), Lt: 5.982 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 8:08:30, Finish: 2024-11-25 13:15
[11-23 21:06:44] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.709 (6.713), Lt: 5.982 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 8:08:20, Finish: 2024-11-25 13:15
[11-23 21:06:44] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.709 (6.713), Lt: 5.982 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 8:08:34, Finish: 2024-11-25 13:15
[11-23 21:06:44] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.709 (6.713), Lt: 5.982 (5.993), Acc m&t: 2.85 4.49, Remain: 2 days, 8:08:47, Finish: 2024-11-25 13:15
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:12:47 tlr: 0.00018 tnm: 0.30 Lm: 6.748 (6.748) Lt: 6.010 (6.010) Accm: 2.48 (2.48) Acct: 4.06 (4.06) proj_loss: -0.5533 (-0.5533) time: 0.4601 data: 0.0003
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:12:48 tlr: 0.00018 tnm: 0.30 Lm: 6.636 (6.636) Lt: 5.900 (5.900) Accm: 3.03 (3.03) Acct: 4.99 (4.99) proj_loss: -0.5770 (-0.5770) time: 0.4602 data: 0.0004
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:12:47 tlr: 0.00018 tnm: 0.30 Lm: 6.802 (6.802) Lt: 6.135 (6.135) Accm: 2.40 (2.40) Acct: 3.72 (3.72) proj_loss: -0.5644 (-0.5644) time: 0.4601 data: 0.0004
[11-23 21:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:12:48 tlr: 0.00018 tnm: 0.30 Lm: 6.818 (6.818) Lt: 6.129 (6.129) Accm: 2.34 (2.34) Acct: 3.63 (3.63) proj_loss: -0.5673 (-0.5673) time: 0.4606 data: 0.0004
[11-23 21:10:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.32 Lm: 6.747 (6.747) Lt: 6.046 (6.046) Accm: 2.66 (2.66) Acct: 4.18 (4.18) proj_loss: -0.5645 (-0.5645) time: 0.4896 data: 0.0003
[11-23 21:10:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.32 Lm: 6.680 (6.680) Lt: 5.912 (5.912) Accm: 2.78 (2.78) Acct: 4.49 (4.49) proj_loss: -0.5683 (-0.5683) time: 0.4896 data: 0.0003
[11-23 21:10:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.32 Lm: 6.819 (6.819) Lt: 6.148 (6.148) Accm: 2.52 (2.52) Acct: 3.92 (3.92) proj_loss: -0.5659 (-0.5659) time: 0.4896 data: 0.0003
[11-23 21:10:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.32 Lm: 6.650 (6.650) Lt: 5.915 (5.915) Accm: 3.04 (3.04) Acct: 4.91 (4.91) proj_loss: -0.5736 (-0.5736) time: 0.4896 data: 0.0003
[11-23 21:13:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.31 Lm: 6.636 (6.601) Lt: 5.900 (5.832) Accm: 3.04 (3.17) Acct: 4.99 (5.17) proj_loss: -0.5750 (-0.5741) time: 0.4920 data: 0.0003
[11-23 21:13:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.31 Lm: 6.721 (6.738) Lt: 6.015 (6.036) Accm: 2.79 (2.70) Acct: 4.30 (4.22) proj_loss: -0.5637 (-0.5642) time: 0.4920 data: 0.0003
[11-23 21:13:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.31 Lm: 6.813 (6.817) Lt: 6.135 (6.140) Accm: 2.64 (2.59) Acct: 4.12 (3.99) proj_loss: -0.5644 (-0.5618) time: 0.4920 data: 0.0003
[11-23 21:13:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.31 Lm: 6.748 (6.726) Lt: 6.010 (5.974) Accm: 2.48 (2.68) Acct: 4.06 (4.33) proj_loss: -0.5539 (-0.5635) time: 0.4920 data: 0.0003
[11-23 21:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.32 Lm: 6.750 (6.732) Lt: 6.027 (5.991) Accm: 2.56 (2.67) Acct: 4.05 (4.26) proj_loss: -0.5587 (-0.5635) time: 0.4926 data: 0.0003
[11-23 21:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.32 Lm: 6.807 (6.773) Lt: 6.130 (6.082) Accm: 2.68 (2.74) Acct: 4.13 (4.25) proj_loss: -0.5593 (-0.5599) time: 0.4926 data: 0.0003
[11-23 21:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.32 Lm: 6.699 (6.723) Lt: 5.989 (6.004) Accm: 2.88 (2.81) Acct: 4.51 (4.36) proj_loss: -0.5641 (-0.5643) time: 0.4926 data: 0.0003
[11-23 21:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.32 Lm: 6.650 (6.636) Lt: 5.915 (5.880) Accm: 3.04 (3.08) Acct: 4.91 (4.96) proj_loss: -0.5734 (-0.5735) time: 0.4926 data: 0.0002
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.30 Lm: 6.663 (6.689) Lt: 5.931 (5.949) Accm: 3.03 (2.91) Acct: 4.82 (4.70) proj_loss: -0.5718 (-0.5732) time: 0.4932 data: 0.0016
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:13:39 (0.491 s / it)
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.30 Lm: 6.721 (6.751) Lt: 6.015 (6.028) Accm: 2.79 (2.78) Acct: 4.34 (4.36) proj_loss: -0.5637 (-0.5635) time: 0.4932 data: 0.0019
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.30 Lm: 6.802 (6.738) Lt: 6.124 (6.032) Accm: 2.73 (2.85) Acct: 4.15 (4.46) proj_loss: -0.5542 (-0.5562) time: 0.4932 data: 0.0019
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.30 Lm: 6.748 (6.725) Lt: 6.010 (5.993) Accm: 2.65 (2.71) Acct: 4.06 (4.31) proj_loss: -0.5635 (-0.5690) time: 0.4932 data: 0.0016
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:13:39 (0.491 s / it)
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:13:39 (0.491 s / it)
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:13:39 (0.491 s / it)
[11-23 21:20:24] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.709 (6.715), Lt: 5.982 (5.991), Acc m&t: 2.85 4.49, Remain: 2 days, 8:06:45, Finish: 2024-11-25 13:27
[11-23 21:20:24] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.709 (6.715), Lt: 5.982 (5.991), Acc m&t: 2.85 4.49, Remain: 2 days, 8:07:06, Finish: 2024-11-25 13:27
[11-23 21:20:24] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.709 (6.715), Lt: 5.982 (5.991), Acc m&t: 2.85 4.49, Remain: 2 days, 8:06:24, Finish: 2024-11-25 13:26
[11-23 21:20:24] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.709 (6.715), Lt: 5.982 (5.991), Acc m&t: 2.85 4.49, Remain: 2 days, 8:07:02, Finish: 2024-11-25 13:27
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:13:08 tlr: 0.00018 tnm: 0.32 Lm: 6.649 (6.649) Lt: 5.905 (5.905) Accm: 2.83 (2.83) Acct: 4.41 (4.41) proj_loss: -0.5570 (-0.5570) time: 0.4727 data: 0.0004
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:13:08 tlr: 0.00018 tnm: 0.32 Lm: 6.640 (6.640) Lt: 5.908 (5.908) Accm: 3.13 (3.13) Acct: 4.99 (4.99) proj_loss: -0.5763 (-0.5763) time: 0.4726 data: 0.0003
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:13:08 tlr: 0.00018 tnm: 0.32 Lm: 6.812 (6.812) Lt: 6.070 (6.070) Accm: 2.59 (2.59) Acct: 4.34 (4.34) proj_loss: -0.5733 (-0.5733) time: 0.4727 data: 0.0004
[11-23 21:20:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:13:08 tlr: 0.00018 tnm: 0.32 Lm: 6.538 (6.538) Lt: 5.779 (5.779) Accm: 3.47 (3.47) Acct: 5.04 (5.04) proj_loss: -0.5439 (-0.5439) time: 0.4725 data: 0.0004
[11-23 21:23:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:10:17 tlr: 0.00018 tnm: 0.31 Lm: 6.578 (6.578) Lt: 5.795 (5.795) Accm: 3.28 (3.28) Acct: 5.19 (5.19) proj_loss: -0.5602 (-0.5602) time: 0.4899 data: 0.0003
[11-23 21:23:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:10:17 tlr: 0.00018 tnm: 0.31 Lm: 6.645 (6.645) Lt: 5.907 (5.907) Accm: 2.89 (2.89) Acct: 4.59 (4.59) proj_loss: -0.5641 (-0.5641) time: 0.4899 data: 0.0003
[11-23 21:23:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:10:17 tlr: 0.00018 tnm: 0.31 Lm: 6.758 (6.758) Lt: 6.035 (6.035) Accm: 2.79 (2.79) Acct: 4.48 (4.48) proj_loss: -0.5746 (-0.5746) time: 0.4899 data: 0.0003
[11-23 21:23:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:10:17 tlr: 0.00018 tnm: 0.31 Lm: 6.676 (6.676) Lt: 5.940 (5.940) Accm: 2.90 (2.90) Acct: 4.43 (4.43) proj_loss: -0.5669 (-0.5669) time: 0.4899 data: 0.0003
[11-23 21:27:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:07:04 tlr: 0.00018 tnm: 0.31 Lm: 6.649 (6.644) Lt: 5.905 (5.910) Accm: 2.89 (2.90) Acct: 4.46 (4.51) proj_loss: -0.5730 (-0.5689) time: 0.4854 data: 0.0003
[11-23 21:27:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:07:04 tlr: 0.00018 tnm: 0.31 Lm: 6.617 (6.620) Lt: 5.810 (5.882) Accm: 3.09 (3.05) Acct: 5.04 (4.78) proj_loss: -0.5764 (-0.5669) time: 0.4854 data: 0.0003
[11-23 21:27:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:07:04 tlr: 0.00018 tnm: 0.31 Lm: 6.651 (6.700) Lt: 5.908 (5.980) Accm: 2.64 (2.77) Acct: 4.18 (4.39) proj_loss: -0.5763 (-0.5734) time: 0.4854 data: 0.0003
[11-23 21:27:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:07:04 tlr: 0.00018 tnm: 0.31 Lm: 6.812 (6.786) Lt: 6.070 (6.066) Accm: 2.59 (2.68) Acct: 4.34 (4.27) proj_loss: -0.5759 (-0.5754) time: 0.4854 data: 0.0003
[11-23 21:30:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.32 Lm: 6.827 (6.806) Lt: 6.098 (6.099) Accm: 2.53 (2.62) Acct: 4.10 (4.16) proj_loss: -0.5746 (-0.5731) time: 0.4895 data: 0.0002
[11-23 21:30:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.32 Lm: 6.661 (6.652) Lt: 5.915 (5.917) Accm: 2.98 (3.01) Acct: 4.63 (4.64) proj_loss: -0.5656 (-0.5639) time: 0.4894 data: 0.0003
[11-23 21:30:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.32 Lm: 6.676 (6.660) Lt: 5.940 (5.928) Accm: 2.86 (2.88) Acct: 4.43 (4.45) proj_loss: -0.5749 (-0.5742) time: 0.4895 data: 0.0003
[11-23 21:30:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.32 Lm: 6.689 (6.707) Lt: 5.965 (5.991) Accm: 2.74 (2.79) Acct: 4.30 (4.40) proj_loss: -0.5655 (-0.5687) time: 0.4894 data: 0.0003
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.651 (6.664) Lt: 5.908 (5.935) Accm: 2.84 (2.88) Acct: 4.42 (4.51) proj_loss: -0.5691 (-0.5688) time: 0.4915 data: 0.0023
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:13:54 (0.500 s / it)
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.705 (6.691) Lt: 6.020 (5.952) Accm: 2.87 (2.91) Acct: 4.22 (4.55) proj_loss: -0.5619 (-0.5635) time: 0.4915 data: 0.0021
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.812 (6.777) Lt: 6.070 (6.061) Accm: 2.59 (2.69) Acct: 4.34 (4.27) proj_loss: -0.5759 (-0.5741) time: 0.4915 data: 0.0019
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.703 (6.677) Lt: 5.951 (5.932) Accm: 2.83 (2.83) Acct: 4.41 (4.39) proj_loss: -0.5730 (-0.5724) time: 0.4915 data: 0.0016
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:13:54 (0.500 s / it)
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:13:54 (0.500 s / it)
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:13:54 (0.500 s / it)
[11-23 21:34:19] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.709 (6.715), Lt: 5.982 (5.986), Acc m&t: 2.85 4.49, Remain: 2 days, 7:45:48, Finish: 2024-11-25 13:20
[11-23 21:34:19] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.709 (6.715), Lt: 5.982 (5.986), Acc m&t: 2.85 4.49, Remain: 2 days, 7:45:53, Finish: 2024-11-25 13:20
[11-23 21:34:19] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.709 (6.715), Lt: 5.982 (5.986), Acc m&t: 2.85 4.49, Remain: 2 days, 7:45:48, Finish: 2024-11-25 13:20
[11-23 21:34:19] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.709 (6.715), Lt: 5.982 (5.986), Acc m&t: 2.85 4.49, Remain: 2 days, 7:46:04, Finish: 2024-11-25 13:20
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:12:44 tlr: 0.00018 tnm: 0.33 Lm: 6.773 (6.773) Lt: 5.981 (5.981) Accm: 2.65 (2.65) Acct: 4.25 (4.25) proj_loss: -0.5531 (-0.5531) time: 0.4580 data: 0.0003
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:12:45 tlr: 0.00018 tnm: 0.33 Lm: 6.806 (6.806) Lt: 6.060 (6.060) Accm: 2.53 (2.53) Acct: 4.08 (4.08) proj_loss: -0.5684 (-0.5684) time: 0.4589 data: 0.0004
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:12:45 tlr: 0.00018 tnm: 0.33 Lm: 6.664 (6.664) Lt: 5.987 (5.987) Accm: 3.13 (3.13) Acct: 4.87 (4.87) proj_loss: -0.5628 (-0.5628) time: 0.4587 data: 0.0004
[11-23 21:34:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:12:45 tlr: 0.00018 tnm: 0.33 Lm: 6.647 (6.647) Lt: 5.884 (5.884) Accm: 3.03 (3.03) Acct: 5.04 (5.04) proj_loss: -0.5609 (-0.5609) time: 0.4589 data: 0.0004
[11-23 21:37:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.31 Lm: 6.657 (6.657) Lt: 5.912 (5.912) Accm: 2.82 (2.82) Acct: 4.67 (4.67) proj_loss: -0.5611 (-0.5611) time: 0.4899 data: 0.0003
[11-23 21:37:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.31 Lm: 6.682 (6.682) Lt: 5.904 (5.904) Accm: 2.94 (2.94) Acct: 4.63 (4.63) proj_loss: -0.5537 (-0.5537) time: 0.4899 data: 0.0002
[11-23 21:37:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.31 Lm: 6.718 (6.718) Lt: 6.020 (6.020) Accm: 2.83 (2.83) Acct: 4.51 (4.51) proj_loss: -0.5721 (-0.5721) time: 0.4899 data: 0.0003
[11-23 21:37:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.31 Lm: 6.779 (6.779) Lt: 6.041 (6.041) Accm: 2.68 (2.68) Acct: 4.20 (4.20) proj_loss: -0.5713 (-0.5713) time: 0.4899 data: 0.0003
[11-23 21:41:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.763 (6.774) Lt: 6.051 (6.045) Accm: 2.64 (2.67) Acct: 4.08 (4.11) proj_loss: -0.5684 (-0.5688) time: 0.4943 data: 0.0003
[11-23 21:41:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.672 (6.703) Lt: 5.987 (6.004) Accm: 2.77 (2.81) Acct: 4.18 (4.40) proj_loss: -0.5628 (-0.5661) time: 0.4943 data: 0.0003
[11-23 21:41:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.773 (6.713) Lt: 5.981 (5.969) Accm: 2.65 (2.82) Acct: 4.25 (4.45) proj_loss: -0.5531 (-0.5504) time: 0.4943 data: 0.0002
[11-23 21:41:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.666 (6.754) Lt: 5.939 (6.031) Accm: 2.61 (2.69) Acct: 4.29 (4.41) proj_loss: -0.5609 (-0.5602) time: 0.4943 data: 0.0003
[11-23 21:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.32 Lm: 6.750 (6.774) Lt: 6.009 (6.043) Accm: 2.60 (2.66) Acct: 4.09 (4.28) proj_loss: -0.5611 (-0.5639) time: 0.4890 data: 0.0003
[11-23 21:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.32 Lm: 6.668 (6.676) Lt: 5.980 (5.977) Accm: 2.92 (2.88) Acct: 4.38 (4.45) proj_loss: -0.5721 (-0.5711) time: 0.4890 data: 0.0002
[11-23 21:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.32 Lm: 6.764 (6.724) Lt: 6.000 (5.982) Accm: 2.63 (2.77) Acct: 4.23 (4.39) proj_loss: -0.5537 (-0.5572) time: 0.4890 data: 0.0003
[11-23 21:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.32 Lm: 6.785 (6.783) Lt: 6.056 (6.074) Accm: 2.59 (2.61) Acct: 4.00 (4.06) proj_loss: -0.5713 (-0.5738) time: 0.4890 data: 0.0003
[11-23 21:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.763 (6.752) Lt: 6.051 (6.046) Accm: 2.64 (2.70) Acct: 4.08 (4.26) proj_loss: -0.5741 (-0.5793) time: 0.4881 data: 0.0019
[11-23 21:48:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:13:53 (0.499 s / it)
[11-23 21:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.672 (6.684) Lt: 5.981 (5.978) Accm: 3.08 (2.94) Acct: 4.58 (4.59) proj_loss: -0.5633 (-0.5696) time: 0.4881 data: 0.0015
[11-23 21:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.744 (6.768) Lt: 6.051 (6.044) Accm: 2.59 (2.64) Acct: 4.01 (4.23) proj_loss: -0.5612 (-0.5669) time: 0.4881 data: 0.0020
[11-23 21:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.773 (6.736) Lt: 6.018 (5.998) Accm: 2.65 (2.81) Acct: 4.25 (4.46) proj_loss: -0.5543 (-0.5603) time: 0.4881 data: 0.0021
[11-23 21:48:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:13:53 (0.499 s / it)
[11-23 21:48:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:13:53 (0.499 s / it)
[11-23 21:48:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:13:53 (0.499 s / it)
[11-23 21:48:12] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.709 (6.711), Lt: 5.982 (5.989), Acc m&t: 2.85 4.49, Remain: 2 days, 7:14:01, Finish: 2024-11-25 13:02
[11-23 21:48:12] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.709 (6.711), Lt: 5.982 (5.989), Acc m&t: 2.85 4.49, Remain: 2 days, 7:14:14, Finish: 2024-11-25 13:02
[11-23 21:48:12] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.709 (6.711), Lt: 5.982 (5.989), Acc m&t: 2.85 4.49, Remain: 2 days, 7:14:11, Finish: 2024-11-25 13:02
[11-23 21:48:12] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.709 (6.711), Lt: 5.982 (5.989), Acc m&t: 2.85 4.49, Remain: 2 days, 7:15:27, Finish: 2024-11-25 13:03
[11-23 21:48:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:12:55 tlr: 0.00018 tnm: 0.33 Lm: 6.816 (6.816) Lt: 6.122 (6.122) Accm: 2.43 (2.43) Acct: 3.82 (3.82) proj_loss: -0.5576 (-0.5576) time: 0.4648 data: 0.0003
[11-23 21:48:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:12:55 tlr: 0.00018 tnm: 0.33 Lm: 6.578 (6.578) Lt: 5.871 (5.871) Accm: 3.50 (3.50) Acct: 5.10 (5.10) proj_loss: -0.5791 (-0.5791) time: 0.4649 data: 0.0003
[11-23 21:48:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:12:56 tlr: 0.00018 tnm: 0.33 Lm: 6.877 (6.877) Lt: 6.160 (6.160) Accm: 2.62 (2.62) Acct: 4.27 (4.27) proj_loss: -0.5632 (-0.5632) time: 0.4653 data: 0.0004
[11-23 21:48:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:12:50 tlr: 0.00018 tnm: 0.33 Lm: 6.747 (6.747) Lt: 6.004 (6.004) Accm: 2.60 (2.60) Acct: 4.41 (4.41) proj_loss: -0.5546 (-0.5546) time: 0.4614 data: 0.0004
[11-23 21:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.33 Lm: 6.697 (6.697) Lt: 5.957 (5.957) Accm: 2.87 (2.87) Acct: 4.67 (4.67) proj_loss: -0.5615 (-0.5615) time: 0.4895 data: 0.0003
[11-23 21:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.33 Lm: 6.606 (6.606) Lt: 5.881 (5.881) Accm: 3.39 (3.39) Acct: 5.20 (5.20) proj_loss: -0.5770 (-0.5770) time: 0.4895 data: 0.0002
[11-23 21:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.33 Lm: 6.765 (6.765) Lt: 6.046 (6.046) Accm: 2.66 (2.66) Acct: 4.31 (4.31) proj_loss: -0.5745 (-0.5745) time: 0.4895 data: 0.0002
[11-23 21:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:10:22 tlr: 0.00018 tnm: 0.33 Lm: 6.808 (6.808) Lt: 6.082 (6.082) Accm: 2.70 (2.70) Acct: 4.32 (4.32) proj_loss: -0.5595 (-0.5595) time: 0.4895 data: 0.0003
[11-23 21:55:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.32 Lm: 6.739 (6.745) Lt: 6.004 (6.018) Accm: 2.78 (2.84) Acct: 4.37 (4.49) proj_loss: -0.5632 (-0.5697) time: 0.4915 data: 0.0003
[11-23 21:55:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.32 Lm: 6.633 (6.639) Lt: 5.891 (5.909) Accm: 3.28 (3.25) Acct: 5.10 (5.00) proj_loss: -0.5750 (-0.5704) time: 0.4915 data: 0.0002
[11-23 21:55:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.32 Lm: 6.714 (6.741) Lt: 5.976 (6.023) Accm: 2.84 (2.72) Acct: 4.25 (4.29) proj_loss: -0.5709 (-0.5733) time: 0.4915 data: 0.0003
[11-23 21:55:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.32 Lm: 6.647 (6.673) Lt: 5.911 (5.923) Accm: 2.93 (2.89) Acct: 4.68 (4.67) proj_loss: -0.5554 (-0.5595) time: 0.4915 data: 0.0003
[11-23 21:58:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.34 Lm: 6.667 (6.677) Lt: 5.914 (5.922) Accm: 2.93 (2.90) Acct: 4.69 (4.68) proj_loss: -0.5619 (-0.5642) time: 0.4897 data: 0.0003
[11-23 21:58:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.34 Lm: 6.750 (6.752) Lt: 6.032 (6.039) Accm: 2.68 (2.67) Acct: 4.11 (4.21) proj_loss: -0.5679 (-0.5712) time: 0.4897 data: 0.0002
[11-23 21:58:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.34 Lm: 6.606 (6.609) Lt: 5.881 (5.880) Accm: 3.33 (3.29) Acct: 5.14 (5.05) proj_loss: -0.5687 (-0.5684) time: 0.4897 data: 0.0002
[11-23 21:58:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.34 Lm: 6.728 (6.738) Lt: 5.997 (6.011) Accm: 2.71 (2.79) Acct: 4.32 (4.33) proj_loss: -0.5595 (-0.5659) time: 0.4897 data: 0.0003
[11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.717 (6.705) Lt: 5.991 (5.979) Accm: 2.78 (2.90) Acct: 4.37 (4.52) proj_loss: -0.5632 (-0.5691) time: 0.5440 data: 0.0017
[11-23 22:01:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:13:42 (0.493 s / it)
[11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.714 (6.729) Lt: 5.976 (6.015) Accm: 2.81 (2.70) Acct: 4.25 (4.23) proj_loss: -0.5709 (-0.5730) time: 0.5440 data: 0.0015
[11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.662 (6.674) Lt: 5.918 (5.923) Accm: 2.93 (2.93) Acct: 4.70 (4.73) proj_loss: -0.5685 (-0.5651) time: 0.5440 data: 0.0021
[11-23 22:01:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.31 Lm: 6.633 (6.629) Lt: 5.891 (5.888) Accm: 3.28 (3.20) Acct: 5.10 (5.01) proj_loss: -0.5625 (-0.5671) time: 0.5440 data: 0.0017
[11-23 22:01:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:13:42 (0.493 s / it)
[11-23 22:01:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:13:42 (0.493 s / it)
[11-23 22:01:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:13:42 (0.493 s / it)
[11-23 22:04:03] (home/user/VAR/trainer.py, line 114)=> FID: 4.360197173436518
[11-23 22:04:04] (/home/user/VAR/train.py , line 259)=> [*] [ep109] (val 50000) Lm: 6.7115, Lt: 5.9940, Acc m&t: 2.83 4.44, Val cost: 128.95s
[11-23 22:04:04] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-23 22:04:15] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.994), Acc m&t: 2.85 4.49, Remain: 2 days, 7:16:38, Finish: 2024-11-25 13:18
[11-23 22:04:15] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.994), Acc m&t: 2.85 4.49, Remain: 2 days, 7:16:39, Finish: 2024-11-25 13:18
[11-23 22:04:15] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.994), Acc m&t: 2.85 4.49, Remain: 2 days, 7:16:33, Finish: 2024-11-25 13:18
[11-23 22:04:15] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.994), Acc m&t: 2.85 4.49, Remain: 2 days, 7:16:07, Finish: 2024-11-25 13:18
[11-23 22:04:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:13:08 tlr: 0.00018 tnm: 0.31 Lm: 6.753 (6.753) Lt: 6.019 (6.019) Accm: 2.43 (2.43) Acct: 3.86 (3.86) proj_loss: -0.5718 (-0.5718) time: 0.4726 data: 0.0003
[11-23 22:04:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:13:12 tlr: 0.00018 tnm: 0.31 Lm: 6.686 (6.686) Lt: 6.005 (6.005) Accm: 3.09 (3.09) Acct: 4.73 (4.73) proj_loss: -0.5689 (-0.5689) time: 0.4748 data: 0.0003
[11-23 22:04:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:13:21 tlr: 0.00018 tnm: 0.31 Lm: 6.669 (6.669) Lt: 6.009 (6.009) Accm: 2.57 (2.57) Acct: 3.86 (3.86) proj_loss: -0.5809 (-0.5809) time: 0.4803 data: 0.0003
[11-23 22:04:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:13:11 tlr: 0.00018 tnm: 0.31 Lm: 6.800 (6.800) Lt: 6.060 (6.060) Accm: 2.62 (2.62) Acct: 4.18 (4.18) proj_loss: -0.5634 (-0.5634) time: 0.4741 data: 0.0004
[11-23 22:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:10:12 tlr: 0.00018 tnm: 0.34 Lm: 6.757 (6.757) Lt: 6.017 (6.017) Accm: 2.78 (2.78) Acct: 4.31 (4.31) proj_loss: -0.5541 (-0.5541) time: 0.4902 data: 0.0003
[11-23 22:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:10:12 tlr: 0.00018 tnm: 0.34 Lm: 6.750 (6.750) Lt: 6.066 (6.066) Accm: 2.84 (2.84) Acct: 4.30 (4.30) proj_loss: -0.5677 (-0.5677) time: 0.4901 data: 0.0002
[11-23 22:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:10:12 tlr: 0.00018 tnm: 0.34 Lm: 6.680 (6.680) Lt: 5.977 (5.977) Accm: 2.68 (2.68) Acct: 4.08 (4.08) proj_loss: -0.5808 (-0.5808) time: 0.4902 data: 0.0002
[11-23 22:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:10:12 tlr: 0.00018 tnm: 0.34 Lm: 6.816 (6.816) Lt: 6.066 (6.066) Accm: 2.35 (2.35) Acct: 3.74 (3.74) proj_loss: -0.5698 (-0.5698) time: 0.4902 data: 0.0003
[11-23 22:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:07:03 tlr: 0.00018 tnm: 0.32 Lm: 6.753 (6.794) Lt: 6.019 (6.038) Accm: 2.43 (2.43) Acct: 3.86 (3.96) proj_loss: -0.5678 (-0.5635) time: 0.4912 data: 0.0003
[11-23 22:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:07:03 tlr: 0.00018 tnm: 0.32 Lm: 6.686 (6.686) Lt: 6.005 (5.996) Accm: 3.02 (2.90) Acct: 4.61 (4.41) proj_loss: -0.5664 (-0.5643) time: 0.4912 data: 0.0002
[11-23 22:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:07:03 tlr: 0.00018 tnm: 0.32 Lm: 6.669 (6.660) Lt: 5.945 (5.947) Accm: 2.79 (2.74) Acct: 4.30 (4.27) proj_loss: -0.5808 (-0.5773) time: 0.4912 data: 0.0002
[11-23 22:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:07:03 tlr: 0.00018 tnm: 0.32 Lm: 6.795 (6.770) Lt: 6.034 (6.023) Accm: 2.62 (2.73) Acct: 4.18 (4.18) proj_loss: -0.5606 (-0.5563) time: 0.4913 data: 0.0003
[11-23 22:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:03:30 tlr: 0.00018 tnm: 0.33 Lm: 6.755 (6.754) Lt: 6.004 (6.009) Accm: 2.67 (2.72) Acct: 4.29 (4.23) proj_loss: -0.5620 (-0.5604) time: 0.4919 data: 0.0003
[11-23 22:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:03:30 tlr: 0.00018 tnm: 0.33 Lm: 6.750 (6.732) Lt: 6.066 (6.041) Accm: 2.80 (2.78) Acct: 4.35 (4.33) proj_loss: -0.5677 (-0.5660) time: 0.4919 data: 0.0002
[11-23 22:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:03:30 tlr: 0.00018 tnm: 0.33 Lm: 6.680 (6.678) Lt: 5.977 (5.963) Accm: 2.74 (2.73) Acct: 4.34 (4.30) proj_loss: -0.5756 (-0.5748) time: 0.4919 data: 0.0002
[11-23 22:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:03:30 tlr: 0.00018 tnm: 0.33 Lm: 6.751 (6.774) Lt: 6.019 (6.033) Accm: 2.50 (2.50) Acct: 3.93 (3.97) proj_loss: -0.5698 (-0.5676) time: 0.4919 data: 0.0003
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.749 (6.726) Lt: 6.018 (5.985) Accm: 2.57 (2.64) Acct: 4.01 (4.17) proj_loss: -0.5718 (-0.5697) time: 0.4935 data: 0.0020
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:13:54 (0.500 s / it)
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.686 (6.694) Lt: 6.005 (5.988) Accm: 3.02 (2.85) Acct: 4.61 (4.44) proj_loss: -0.5689 (-0.5672) time: 0.4935 data: 0.0015
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.669 (6.667) Lt: 5.945 (5.951) Accm: 2.79 (2.79) Acct: 4.37 (4.32) proj_loss: -0.5740 (-0.5746) time: 0.4935 data: 0.0018
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.754 (6.754) Lt: 6.034 (6.016) Accm: 2.71 (2.75) Acct: 4.29 (4.24) proj_loss: -0.5634 (-0.5647) time: 0.4935 data: 0.0017
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:13:54 (0.500 s / it)
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:13:54 (0.500 s / it)
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:13:54 (0.500 s / it)
[11-23 22:18:10] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.709 (6.716), Lt: 5.982 (5.995), Acc m&t: 2.85 4.49, Remain: 2 days, 7:19:42, Finish: 2024-11-25 13:37
[11-23 22:18:10] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.709 (6.716), Lt: 5.982 (5.995), Acc m&t: 2.85 4.49, Remain: 2 days, 7:19:25, Finish: 2024-11-25 13:37
[11-23 22:18:10] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.709 (6.716), Lt: 5.982 (5.995), Acc m&t: 2.85 4.49, Remain: 2 days, 7:20:34, Finish: 2024-11-25 13:38
[11-23 22:18:10] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.709 (6.716), Lt: 5.982 (5.995), Acc m&t: 2.85 4.49, Remain: 2 days, 7:19:07, Finish: 2024-11-25 13:37
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:12:40 tlr: 0.00018 tnm: 0.32 Lm: 6.678 (6.678) Lt: 5.967 (5.967) Accm: 3.02 (3.02) Acct: 4.67 (4.67) proj_loss: -0.5948 (-0.5948) time: 0.4554 data: 0.0003
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:13:12 tlr: 0.00018 tnm: 0.32 Lm: 6.777 (6.777) Lt: 6.074 (6.074) Accm: 2.70 (2.70) Acct: 4.29 (4.29) proj_loss: -0.5792 (-0.5792) time: 0.4747 data: 0.0003
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:12:40 tlr: 0.00018 tnm: 0.32 Lm: 6.464 (6.464) Lt: 5.734 (5.734) Accm: 3.47 (3.47) Acct: 5.20 (5.20) proj_loss: -0.5727 (-0.5727) time: 0.4556 data: 0.0003
[11-23 22:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:12:38 tlr: 0.00018 tnm: 0.32 Lm: 6.613 (6.613) Lt: 5.859 (5.859) Accm: 2.92 (2.92) Acct: 4.65 (4.65) proj_loss: -0.5667 (-0.5667) time: 0.4546 data: 0.0003
[11-23 22:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.32 Lm: 6.710 (6.710) Lt: 5.979 (5.979) Accm: 2.82 (2.82) Acct: 4.53 (4.53) proj_loss: -0.5671 (-0.5671) time: 0.4912 data: 0.0003
[11-23 22:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.32 Lm: 6.598 (6.598) Lt: 5.869 (5.869) Accm: 3.13 (3.13) Acct: 4.77 (4.77) proj_loss: -0.5810 (-0.5810) time: 0.4912 data: 0.0002
[11-23 22:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:10:13 tlr: 0.00018 tnm: 0.32 Lm: 6.730 (6.730) Lt: 6.003 (6.003) Accm: 2.83 (2.83) Acct: 4.42 (4.42) proj_loss: -0.5704 (-0.5704) time: 0.4912 data: 0.0002
[11-23 22:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:10:14 tlr: 0.00018 tnm: 0.32 Lm: 6.747 (6.747) Lt: 6.048 (6.048) Accm: 2.70 (2.70) Acct: 4.25 (4.25) proj_loss: -0.5762 (-0.5762) time: 0.4912 data: 0.0003
[11-23 22:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.718 (6.714) Lt: 6.022 (6.012) Accm: 2.70 (2.74) Acct: 4.29 (4.32) proj_loss: -0.5792 (-0.5820) time: 0.4860 data: 0.0003
[11-23 22:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.732 (6.696) Lt: 6.005 (5.971) Accm: 2.79 (3.00) Acct: 4.34 (4.52) proj_loss: -0.5847 (-0.5823) time: 0.4860 data: 0.0002
[11-23 22:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.783 (6.755) Lt: 6.040 (6.024) Accm: 2.65 (2.76) Acct: 4.17 (4.33) proj_loss: -0.5634 (-0.5681) time: 0.4860 data: 0.0002
[11-23 22:24:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:06:49 tlr: 0.00018 tnm: 0.33 Lm: 6.613 (6.675) Lt: 5.875 (5.945) Accm: 2.92 (2.89) Acct: 4.65 (4.60) proj_loss: -0.5675 (-0.5780) time: 0.4860 data: 0.0003
[11-23 22:28:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.30 Lm: 6.654 (6.680) Lt: 5.923 (5.951) Accm: 2.97 (2.92) Acct: 4.61 (4.60) proj_loss: -0.5712 (-0.5772) time: 0.4935 data: 0.0003
[11-23 22:28:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.30 Lm: 6.730 (6.720) Lt: 6.003 (5.989) Accm: 2.83 (2.87) Acct: 4.42 (4.52) proj_loss: -0.5705 (-0.5705) time: 0.4935 data: 0.0002
[11-23 22:28:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:03:29 tlr: 0.00018 tnm: 0.30 Lm: 6.774 (6.726) Lt: 6.074 (6.014) Accm: 2.76 (2.90) Acct: 4.21 (4.41) proj_loss: -0.5787 (-0.5767) time: 0.4934 data: 0.0002
[11-23 22:28:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:03:30 tlr: 0.00018 tnm: 0.30 Lm: 6.747 (6.744) Lt: 6.048 (6.047) Accm: 2.70 (2.65) Acct: 4.25 (4.26) proj_loss: -0.5762 (-0.5764) time: 0.4934 data: 0.0003
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.763 (6.748) Lt: 6.041 (6.045) Accm: 2.70 (2.65) Acct: 4.22 (4.25) proj_loss: -0.5792 (-0.5781) time: 0.4916 data: 0.0018
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:13:54 (0.500 s / it)
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.728 (6.721) Lt: 6.004 (5.992) Accm: 2.86 (2.87) Acct: 4.56 (4.53) proj_loss: -0.5776 (-0.5738) time: 0.4916 data: 0.0016
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.732 (6.705) Lt: 6.005 (6.004) Accm: 2.79 (2.91) Acct: 4.34 (4.40) proj_loss: -0.5727 (-0.5757) time: 0.4916 data: 0.0015
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.695 (6.696) Lt: 5.970 (5.969) Accm: 2.92 (2.86) Acct: 4.58 (4.45) proj_loss: -0.5675 (-0.5691) time: 0.4916 data: 0.0027
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:13:54 (0.500 s / it)
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:13:54 (0.500 s / it)
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:13:54 (0.500 s / it)
[11-23 22:32:05] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.990), Acc m&t: 2.85 4.49, Remain: 2 days, 6:43:25, Finish: 2024-11-25 13:15
[11-23 22:32:05] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.990), Acc m&t: 2.85 4.49, Remain: 2 days, 6:43:02, Finish: 2024-11-25 13:15
[11-23 22:32:05] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.990), Acc m&t: 2.85 4.49, Remain: 2 days, 6:43:00, Finish: 2024-11-25 13:15
[11-23 22:32:05] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.709 (6.712), Lt: 5.982 (5.990), Acc m&t: 2.85 4.49, Remain: 2 days, 6:42:56, Finish: 2024-11-25 13:15
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:12:57 tlr: 0.00018 tnm: 0.32 Lm: 6.637 (6.637) Lt: 5.894 (5.894) Accm: 3.07 (3.07) Acct: 5.11 (5.11) proj_loss: -0.5698 (-0.5698) time: 0.4661 data: 0.0003
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:13:13 tlr: 0.00018 tnm: 0.32 Lm: 6.754 (6.754) Lt: 6.050 (6.050) Accm: 2.66 (2.66) Acct: 4.06 (4.06) proj_loss: -0.5801 (-0.5801) time: 0.4755 data: 0.0003
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:12:51 tlr: 0.00018 tnm: 0.32 Lm: 6.845 (6.845) Lt: 6.182 (6.182) Accm: 2.27 (2.27) Acct: 3.34 (3.34) proj_loss: -0.6003 (-0.6003) time: 0.4626 data: 0.0004
[11-23 22:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:12:45 tlr: 0.00018 tnm: 0.32 Lm: 6.891 (6.891) Lt: 6.155 (6.155) Accm: 2.62 (2.62) Acct: 4.18 (4.18) proj_loss: -0.5570 (-0.5570) time: 0.4586 data: 0.0004
[11-23 22:35:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:10:18 tlr: 0.00018 tnm: 0.34 Lm: 6.765 (6.765) Lt: 6.039 (6.039) Accm: 2.88 (2.88) Acct: 4.47 (4.47) proj_loss: -0.5615 (-0.5615) time: 0.5448 data: 0.0003
[11-23 22:35:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:10:18 tlr: 0.00018 tnm: 0.34 Lm: 6.678 (6.678) Lt: 5.929 (5.929) Accm: 2.94 (2.94) Acct: 4.75 (4.75) proj_loss: -0.5707 (-0.5707) time: 0.5448 data: 0.0002
[11-23 22:35:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:10:18 tlr: 0.00018 tnm: 0.34 Lm: 6.759 (6.759) Lt: 6.006 (6.006) Accm: 2.64 (2.64) Acct: 4.15 (4.15) proj_loss: -0.5828 (-0.5828) time: 0.5448 data: 0.0003
[11-23 22:35:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:10:18 tlr: 0.00018 tnm: 0.34 Lm: 6.833 (6.833) Lt: 6.120 (6.120) Accm: 2.51 (2.51) Acct: 3.96 (3.96) proj_loss: -0.5989 (-0.5989) time: 0.5448 data: 0.0003
[11-23 22:38:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:06:50 tlr: 0.00018 tnm: 0.33 Lm: 6.821 (6.782) Lt: 6.057 (6.071) Accm: 2.76 (2.69) Acct: 4.58 (4.23) proj_loss: -0.5975 (-0.5832) time: 0.4908 data: 0.0003
[11-23 22:38:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:06:50 tlr: 0.00018 tnm: 0.33 Lm: 6.693 (6.683) Lt: 5.964 (5.954) Accm: 2.93 (2.93) Acct: 4.39 (4.62) proj_loss: -0.5717 (-0.5766) time: 0.4908 data: 0.0002
[11-23 22:38:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:06:50 tlr: 0.00018 tnm: 0.33 Lm: 6.734 (6.755) Lt: 6.023 (6.034) Accm: 2.82 (2.86) Acct: 4.44 (4.46) proj_loss: -0.5660 (-0.5719) time: 0.4908 data: 0.0003
[11-23 22:38:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:06:50 tlr: 0.00018 tnm: 0.33 Lm: 6.754 (6.725) Lt: 5.966 (5.993) Accm: 2.66 (2.77) Acct: 4.24 (4.37) proj_loss: -0.5801 (-0.5814) time: 0.4908 data: 0.0003
[11-23 22:42:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.32 Lm: 6.749 (6.730) Lt: 5.964 (5.977) Accm: 2.75 (2.79) Acct: 4.42 (4.42) proj_loss: -0.5793 (-0.5749) time: 0.4863 data: 0.0003
[11-23 22:42:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.32 Lm: 6.665 (6.659) Lt: 5.931 (5.940) Accm: 2.90 (2.92) Acct: 4.42 (4.58) proj_loss: -0.5783 (-0.5787) time: 0.4863 data: 0.0002
[11-23 22:42:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.32 Lm: 6.833 (6.840) Lt: 6.120 (6.139) Accm: 2.51 (2.50) Acct: 3.96 (3.95) proj_loss: -0.5856 (-0.5808) time: 0.4863 data: 0.0003
[11-23 22:42:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.32 Lm: 6.724 (6.745) Lt: 5.987 (6.013) Accm: 2.86 (2.87) Acct: 4.46 (4.46) proj_loss: -0.5615 (-0.5662) time: 0.4863 data: 0.0003
[11-23 22:45:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.32 Lm: 6.715 (6.707) Lt: 5.952 (5.976) Accm: 2.90 (2.99) Acct: 4.48 (4.68) proj_loss: -0.5660 (-0.5667) time: 0.4946 data: 0.0016
[11-23 22:45:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:13:40 (0.492 s / it)
[11-23 22:45:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.32 Lm: 6.744 (6.732) Lt: 5.966 (5.990) Accm: 2.85 (2.84) Acct: 4.60 (4.48) proj_loss: -0.5796 (-0.5758) time: 0.4946 data: 0.0016
[11-23 22:45:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.32 Lm: 6.693 (6.675) Lt: 5.964 (5.961) Accm: 2.87 (2.87) Acct: 4.44 (4.55) proj_loss: -0.5717 (-0.5735) time: 0.4946 data: 0.0015
[11-23 22:45:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.32 Lm: 6.821 (6.826) Lt: 6.084 (6.128) Accm: 2.76 (2.59) Acct: 4.25 (4.01) proj_loss: -0.5738 (-0.5756) time: 0.4946 data: 0.0021
[11-23 22:45:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:13:40 (0.492 s / it)
[11-23 22:45:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:13:40 (0.492 s / it)
[11-23 22:45:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:13:40 (0.492 s / it)
[11-23 22:45:45] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.709 (6.709), Lt: 5.982 (5.984), Acc m&t: 2.85 4.49, Remain: 2 days, 6:36:06, Finish: 2024-11-25 13:21
[11-23 22:45:45] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.709 (6.709), Lt: 5.982 (5.984), Acc m&t: 2.85 4.49, Remain: 2 days, 6:35:12, Finish: 2024-11-25 13:20
[11-23 22:45:45] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.709 (6.709), Lt: 5.982 (5.984), Acc m&t: 2.85 4.49, Remain: 2 days, 6:34:53, Finish: 2024-11-25 13:20
[11-23 22:45:45] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.709 (6.709), Lt: 5.982 (5.984), Acc m&t: 2.85 4.49, Remain: 2 days, 6:35:41, Finish: 2024-11-25 13:21
[11-23 22:45:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:12:50 tlr: 0.00018 tnm: 0.34 Lm: 6.667 (6.667) Lt: 5.950 (5.950) Accm: 3.05 (3.05) Acct: 4.79 (4.79) proj_loss: -0.5832 (-0.5832) time: 0.4615 data: 0.0003
[11-23 22:45:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:12:50 tlr: 0.00018 tnm: 0.34 Lm: 6.725 (6.725) Lt: 6.011 (6.011) Accm: 2.66 (2.66) Acct: 4.24 (4.24) proj_loss: -0.5574 (-0.5574) time: 0.4619 data: 0.0003
[11-23 22:45:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:12:51 tlr: 0.00018 tnm: 0.34 Lm: 6.613 (6.613) Lt: 5.895 (5.895) Accm: 3.23 (3.23) Acct: 5.13 (5.13) proj_loss: -0.5688 (-0.5688) time: 0.4620 data: 0.0003
[11-23 22:45:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:12:58 tlr: 0.00018 tnm: 0.34 Lm: 6.837 (6.837) Lt: 6.116 (6.116) Accm: 2.46 (2.46) Acct: 4.05 (4.05) proj_loss: -0.5706 (-0.5706) time: 0.4667 data: 0.0004
[11-23 22:49:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:10:45 tlr: 0.00018 tnm: 0.31 Lm: 6.738 (6.738) Lt: 6.012 (6.012) Accm: 2.82 (2.82) Acct: 4.53 (4.53) proj_loss: -0.5655 (-0.5655) time: 0.5941 data: 0.0003
[11-23 22:49:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:10:45 tlr: 0.00018 tnm: 0.31 Lm: 6.712 (6.712) Lt: 5.982 (5.982) Accm: 2.84 (2.84) Acct: 4.42 (4.42) proj_loss: -0.5610 (-0.5610) time: 0.5941 data: 0.0002
[11-23 22:49:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:10:45 tlr: 0.00018 tnm: 0.31 Lm: 6.728 (6.728) Lt: 6.015 (6.015) Accm: 2.91 (2.91) Acct: 4.53 (4.53) proj_loss: -0.5799 (-0.5799) time: 0.5941 data: 0.0002
[11-23 22:49:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:10:45 tlr: 0.00018 tnm: 0.31 Lm: 6.708 (6.708) Lt: 6.008 (6.008) Accm: 3.01 (3.01) Acct: 4.80 (4.80) proj_loss: -0.5741 (-0.5741) time: 0.5941 data: 0.0003
[11-23 22:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:07:03 tlr: 0.00017 tnm: 0.33 Lm: 6.746 (6.721) Lt: 6.058 (6.025) Accm: 2.79 (2.92) Acct: 4.46 (4.63) proj_loss: -0.5795 (-0.5765) time: 0.4941 data: 0.0003
[11-23 22:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:07:03 tlr: 0.00017 tnm: 0.33 Lm: 6.788 (6.749) Lt: 6.070 (6.033) Accm: 2.81 (2.88) Acct: 4.79 (4.61) proj_loss: -0.5832 (-0.5833) time: 0.4941 data: 0.0002
[11-23 22:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:07:03 tlr: 0.00017 tnm: 0.33 Lm: 6.714 (6.712) Lt: 6.011 (6.005) Accm: 2.86 (2.84) Acct: 4.24 (4.31) proj_loss: -0.5646 (-0.5658) time: 0.4941 data: 0.0002
[11-23 22:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:07:03 tlr: 0.00017 tnm: 0.33 Lm: 6.789 (6.755) Lt: 6.062 (6.028) Accm: 2.64 (2.76) Acct: 4.15 (4.40) proj_loss: -0.5706 (-0.5676) time: 0.4941 data: 0.0002
[11-23 22:56:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:03:30 tlr: 0.00017 tnm: 0.32 Lm: 6.714 (6.723) Lt: 5.994 (6.003) Accm: 2.82 (2.82) Acct: 4.44 (4.49) proj_loss: -0.5680 (-0.5671) time: 0.4935 data: 0.0003
[11-23 22:56:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:03:30 tlr: 0.00017 tnm: 0.32 Lm: 6.706 (6.699) Lt: 5.982 (5.991) Accm: 2.80 (2.82) Acct: 4.38 (4.36) proj_loss: -0.5652 (-0.5658) time: 0.4935 data: 0.0002
[11-23 22:56:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:03:30 tlr: 0.00017 tnm: 0.32 Lm: 6.782 (6.755) Lt: 6.074 (6.052) Accm: 2.79 (2.81) Acct: 4.57 (4.55) proj_loss: -0.5799 (-0.5792) time: 0.4935 data: 0.0002
[11-23 22:56:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:03:30 tlr: 0.00017 tnm: 0.32 Lm: 6.765 (6.736) Lt: 6.037 (6.023) Accm: 2.85 (2.92) Acct: 4.54 (4.62) proj_loss: -0.5741 (-0.5741) time: 0.4935 data: 0.0003
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.746 (6.701) Lt: 6.017 (5.986) Accm: 2.91 (2.95) Acct: 4.61 (4.62) proj_loss: -0.5688 (-0.5720) time: 0.4923 data: 0.0016
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:13:53 (0.500 s / it)
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.639 (6.690) Lt: 5.925 (5.959) Accm: 3.01 (2.87) Acct: 4.73 (4.56) proj_loss: -0.5706 (-0.5687) time: 0.4923 data: 0.0018
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.707 (6.700) Lt: 5.964 (5.986) Accm: 2.75 (2.80) Acct: 4.24 (4.33) proj_loss: -0.5658 (-0.5669) time: 0.4923 data: 0.0015
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.775 (6.755) Lt: 6.070 (6.045) Accm: 2.78 (2.78) Acct: 4.36 (4.49) proj_loss: -0.5766 (-0.5767) time: 0.4923 data: 0.0017
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:13:53 (0.500 s / it)
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:13:53 (0.500 s / it)
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:13:53 (0.500 s / it)
[11-23 22:59:39] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.707 (6.707), Lt: 5.982 (5.984), Acc m&t: 2.85 4.49, Remain: 2 days, 6:25:03, Finish: 2024-11-25 13:24
[11-23 22:59:39] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.707 (6.707), Lt: 5.982 (5.984), Acc m&t: 2.85 4.49, Remain: 2 days, 6:23:27, Finish: 2024-11-25 13:23
[11-23 22:59:39] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.707 (6.707), Lt: 5.982 (5.984), Acc m&t: 2.85 4.49, Remain: 2 days, 6:23:34, Finish: 2024-11-25 13:23
[11-23 22:59:39] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.707 (6.707), Lt: 5.982 (5.984), Acc m&t: 2.85 4.49, Remain: 2 days, 6:25:26, Finish: 2024-11-25 13:25
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:13:13 tlr: 0.00017 tnm: 0.33 Lm: 6.733 (6.733) Lt: 5.984 (5.984) Accm: 2.59 (2.59) Acct: 4.29 (4.29) proj_loss: -0.5633 (-0.5633) time: 0.4755 data: 0.0003
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:13:14 tlr: 0.00017 tnm: 0.33 Lm: 6.752 (6.752) Lt: 5.994 (5.994) Accm: 2.58 (2.58) Acct: 4.32 (4.32) proj_loss: -0.5603 (-0.5603) time: 0.4758 data: 0.0003
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:13:14 tlr: 0.00017 tnm: 0.33 Lm: 6.905 (6.905) Lt: 6.179 (6.179) Accm: 2.53 (2.53) Acct: 4.01 (4.01) proj_loss: -0.5441 (-0.5441) time: 0.4758 data: 0.0004
[11-23 22:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:13:15 tlr: 0.00017 tnm: 0.33 Lm: 6.686 (6.686) Lt: 5.955 (5.955) Accm: 3.13 (3.13) Acct: 4.92 (4.92) proj_loss: -0.5631 (-0.5631) time: 0.4765 data: 0.0004
[11-23 23:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:10:12 tlr: 0.00017 tnm: 0.34 Lm: 6.724 (6.724) Lt: 5.997 (5.997) Accm: 2.95 (2.95) Acct: 4.72 (4.72) proj_loss: -0.5650 (-0.5650) time: 0.4823 data: 0.0003
[11-23 23:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:10:12 tlr: 0.00017 tnm: 0.34 Lm: 6.754 (6.754) Lt: 6.016 (6.016) Accm: 2.69 (2.69) Acct: 4.36 (4.36) proj_loss: -0.5692 (-0.5692) time: 0.4823 data: 0.0002
[11-23 23:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:10:12 tlr: 0.00017 tnm: 0.34 Lm: 6.770 (6.770) Lt: 6.020 (6.020) Accm: 2.68 (2.68) Acct: 4.44 (4.44) proj_loss: -0.5620 (-0.5620) time: 0.4823 data: 0.0002
[11-23 23:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:10:12 tlr: 0.00017 tnm: 0.34 Lm: 6.798 (6.798) Lt: 6.070 (6.070) Accm: 2.66 (2.66) Acct: 4.22 (4.22) proj_loss: -0.5654 (-0.5654) time: 0.4823 data: 0.0003
[11-23 23:06:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:06:58 tlr: 0.00017 tnm: 0.32 Lm: 6.692 (6.754) Lt: 6.009 (6.050) Accm: 2.79 (2.77) Acct: 4.42 (4.30) proj_loss: -0.5701 (-0.5669) time: 0.5892 data: 0.0003
[11-23 23:06:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:06:58 tlr: 0.00017 tnm: 0.32 Lm: 6.733 (6.732) Lt: 5.991 (6.008) Accm: 2.67 (2.68) Acct: 4.42 (4.38) proj_loss: -0.5751 (-0.5754) time: 0.5892 data: 0.0002
[11-23 23:06:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:06:58 tlr: 0.00017 tnm: 0.32 Lm: 6.686 (6.703) Lt: 5.955 (5.978) Accm: 2.98 (2.96) Acct: 4.51 (4.57) proj_loss: -0.5669 (-0.5670) time: 0.5892 data: 0.0003
[11-23 23:06:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:06:58 tlr: 0.00017 tnm: 0.32 Lm: 6.752 (6.738) Lt: 5.994 (5.992) Accm: 2.78 (2.81) Acct: 4.56 (4.50) proj_loss: -0.5603 (-0.5589) time: 0.5892 data: 0.0002
======================================================= RESTART [11-24 00:23:03] =======================================================
======================================================= RESTART [11-24 00:23:03] =======================================================
======================================================= RESTART [11-24 00:23:03] =======================================================
======================================================= RESTART [11-24 00:23:03] =======================================================
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-24 00:23:42] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-24 00:23:42] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
commit_msg : add
branch : main
}
[11-24 00:23:42] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fa4ed46f370>
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fa4ed46f370>
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-24 00:23:45] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth ...
[11-24 00:23:45] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep110, it0
[11-24 00:23:45] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-24 00:23:42] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-24 00:23:42] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
branch : main
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
}
[11-24 00:23:42] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f0f9829b370>
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f0f9829b370>
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-24 00:23:45] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth ...
[11-24 00:23:45] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep110, it0
[11-24 00:23:45] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-24 00:23:42] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-24 00:23:42] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
branch : main
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
commit_msg : add
}
[11-24 00:23:42] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7ff2596df370>
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7ff2596df370>
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-24 00:23:45] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth ...
[11-24 00:23:45] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep110, it0
[11-24 00:23:45] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-24 00:23:03] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-24 00:23:42] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-24 00:23:42] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
branch : main
}
[11-24 00:23:42] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fa7f815b370>
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7fa7f815b370>
[11-24 00:23:45] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-24 00:23:45] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth ...
[11-24 00:23:45] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep110, it0
[11-24 00:23:45] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ... [dataloader multi processing](*) finished! (45.71s)
[dataloader multi processing](*) finished! (47.48s)
[dataloader multi processing](*) finished! (47.72s)
[11-24 00:24:31] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[dataloader multi processing](*) finished! (51.91s)
[11-24 00:24:37] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-24 00:24:37] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-24 00:24:38] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-24 00:24:32] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-24 00:24:37] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-24 00:24:37] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-24 00:24:39] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-24 00:24:37] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-24 00:24:33] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-24 00:24:38] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-24 00:24:38] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-24 00:24:39] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-24 00:24:41] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-24 00:24:41] (/lookup_free_quantize.py, line 128)=> scale is tensor([0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673, 0.2673,
0.2673])
[11-24 00:24:43] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-24 00:24:44] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-24 00:25:09] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-24 00:25:09] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-24 00:25:09] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank0] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-24 00:24:39] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-24 00:25:09] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-24 00:25:09] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-24 00:25:09] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank8] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-24 00:24:40] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-24 00:25:09] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-24 00:25:09] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-24 00:25:09] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank16] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-24 00:24:40] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-24 00:25:09] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1280, out_features=2048, bias=True)
(1): SiLU()
(2): Linear(in_features=2048, out_features=2048, bias=True)
(3): SiLU()
(4): Linear(in_features=2048, out_features=768, bias=True)
)
)
)
)
[11-24 00:25:09] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-24 00:25:09] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=645.53
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight, _orig_mod.projectors.0.0.weight, '\n"
" '_orig_mod.projectors.0.2.weight, _orig_mod.projectors.0.4.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias, _orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, '\n"
" '_orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank24] type(model).__name__='OptimizedModule' count=255, numel=645528720
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 105)=>
[11-24 00:25:09] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-24 00:25:10] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-24 00:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 16 days, 11:19:53 tlr: 0.00018 tnm: 0.31 Lm: 6.787 (6.787) Lt: 6.032 (6.032) Accm: 2.57 (2.57) Acct: 4.29 (4.29) proj_loss: -0.5548 (-0.5548) time: 852.7222 data: 0.0006
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 105)=>
[11-24 00:25:09] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-24 00:25:10] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-24 00:25:11] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-24 00:25:11] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-24 00:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 16 days, 11:12:02 tlr: 0.00018 tnm: 0.31 Lm: 6.765 (6.765) Lt: 6.032 (6.032) Accm: 2.65 (2.65) Acct: 4.29 (4.29) proj_loss: -0.5525 (-0.5525) time: 852.4400 data: 0.0007
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 105)=>
[11-24 00:25:09] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-24 00:25:10] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-24 00:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 16 days, 11:25:43 tlr: 0.00018 tnm: 0.31 Lm: 6.694 (6.694) Lt: 5.977 (5.977) Accm: 2.86 (2.86) Acct: 4.39 (4.39) proj_loss: -0.5652 (-0.5652) time: 852.9320 data: 0.0007
[11-24 00:25:09] (/VAR/utils/lr_control.py, line 105)=>
[11-24 00:25:09] (/home/user/VAR/train.py , line 143)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-24 00:25:10] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-24 00:25:10] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-24 00:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 16 days, 11:02:33 tlr: 0.00018 tnm: 0.31 Lm: 6.700 (6.700) Lt: 5.973 (5.973) Accm: 2.70 (2.70) Acct: 4.36 (4.36) proj_loss: -0.5762 (-0.5762) time: 852.0989 data: 0.0005
[11-24 00:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 1:05:14 tlr: 0.00018 tnm: 0.33 Lm: 6.704 (6.704) Lt: 5.984 (5.984) Accm: 2.78 (2.78) Acct: 4.54 (4.54) proj_loss: -0.5763 (-0.5763) time: 0.4827 data: 0.0003
[11-24 00:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 1:05:16 tlr: 0.00018 tnm: 0.33 Lm: 6.732 (6.732) Lt: 6.007 (6.007) Accm: 2.75 (2.75) Acct: 4.25 (4.25) proj_loss: -0.5623 (-0.5623) time: 0.4827 data: 0.0003
[11-24 00:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 1:05:15 tlr: 0.00018 tnm: 0.33 Lm: 6.820 (6.820) Lt: 6.084 (6.084) Accm: 2.56 (2.56) Acct: 4.05 (4.05) proj_loss: -0.5578 (-0.5578) time: 0.4827 data: 0.0003
[11-24 00:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 1:05:16 tlr: 0.00018 tnm: 0.33 Lm: 6.779 (6.779) Lt: 6.046 (6.046) Accm: 2.62 (2.62) Acct: 4.27 (4.27) proj_loss: -0.5504 (-0.5504) time: 0.4827 data: 0.0003
[11-24 00:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:25:09 tlr: 0.00018 tnm: 0.34 Lm: 6.787 (6.795) Lt: 6.059 (6.071) Accm: 2.57 (2.60) Acct: 4.25 (4.19) proj_loss: -0.5548 (-0.5551) time: 0.4859 data: 0.0003
[11-24 00:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:25:08 tlr: 0.00018 tnm: 0.34 Lm: 6.765 (6.794) Lt: 6.032 (6.044) Accm: 2.59 (2.57) Acct: 3.89 (4.00) proj_loss: -0.5612 (-0.5590) time: 0.4859 data: 0.0003
[11-24 00:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:25:09 tlr: 0.00018 tnm: 0.34 Lm: 6.694 (6.677) Lt: 5.977 (5.967) Accm: 2.86 (2.87) Acct: 4.39 (4.44) proj_loss: -0.5595 (-0.5604) time: 0.4858 data: 0.0003
[11-24 00:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:25:08 tlr: 0.00018 tnm: 0.34 Lm: 6.700 (6.682) Lt: 5.973 (5.973) Accm: 2.85 (2.86) Acct: 4.67 (4.58) proj_loss: -0.5762 (-0.5723) time: 0.4859 data: 0.0003
[11-24 00:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:09:31 tlr: 0.00018 tnm: 0.33 Lm: 6.704 (6.699) Lt: 5.984 (5.993) Accm: 2.78 (2.77) Acct: 4.51 (4.42) proj_loss: -0.5714 (-0.5709) time: 0.4880 data: 0.0003
[11-24 00:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:09:31 tlr: 0.00018 tnm: 0.33 Lm: 6.732 (6.721) Lt: 6.007 (6.008) Accm: 2.75 (2.78) Acct: 4.25 (4.32) proj_loss: -0.5623 (-0.5649) time: 0.4880 data: 0.0002
[11-24 00:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:09:31 tlr: 0.00018 tnm: 0.33 Lm: 6.753 (6.775) Lt: 6.020 (6.035) Accm: 2.62 (2.64) Acct: 4.09 (4.08) proj_loss: -0.5622 (-0.5644) time: 0.4880 data: 0.0002
[11-24 00:53:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:09:31 tlr: 0.00018 tnm: 0.33 Lm: 6.779 (6.760) Lt: 6.046 (6.043) Accm: 2.62 (2.64) Acct: 4.24 (4.20) proj_loss: -0.5596 (-0.5592) time: 0.4880 data: 0.0003
[11-24 00:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:01 tlr: 0.00018 tnm: 0.32 Lm: 6.787 (6.768) Lt: 6.055 (6.045) Accm: 2.67 (2.65) Acct: 4.25 (4.25) proj_loss: -0.5645 (-0.5607) time: 0.4850 data: 0.0018
[11-24 00:57:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:31:53 (1.147 s / it)
[11-24 00:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:01 tlr: 0.00018 tnm: 0.32 Lm: 6.742 (6.725) Lt: 6.009 (5.986) Accm: 2.65 (2.74) Acct: 4.29 (4.25) proj_loss: -0.5632 (-0.5651) time: 0.4850 data: 0.0019
[11-24 00:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:01 tlr: 0.00018 tnm: 0.32 Lm: 6.694 (6.687) Lt: 5.977 (5.961) Accm: 2.86 (2.89) Acct: 4.39 (4.49) proj_loss: -0.5611 (-0.5641) time: 0.4850 data: 0.0019
[11-24 00:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:01 tlr: 0.00018 tnm: 0.32 Lm: 6.700 (6.681) Lt: 5.973 (5.974) Accm: 2.85 (2.82) Acct: 4.39 (4.42) proj_loss: -0.5666 (-0.5699) time: 0.4850 data: 0.0017
[11-24 00:57:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:31:53 (1.147 s / it)
[11-24 00:57:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:31:54 (1.147 s / it)
[11-24 00:57:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:31:53 (1.146 s / it)
[11-24 00:57:07] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.722 (6.722), Lt: 5.995 (5.995), Acc m&t: 2.81 4.44, Remain: 2 days, 6:08:05, Finish: 2024-11-25 15:05
[11-24 00:57:07] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.722 (6.722), Lt: 5.995 (5.995), Acc m&t: 2.81 4.44, Remain: 2 days, 6:08:13, Finish: 2024-11-25 15:05
[11-24 00:57:07] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.722 (6.722), Lt: 5.995 (5.995), Acc m&t: 2.81 4.44, Remain: 2 days, 6:10:23, Finish: 2024-11-25 15:07
[11-24 00:57:07] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.722 (6.722), Lt: 5.995 (5.995), Acc m&t: 2.81 4.44, Remain: 2 days, 6:08:15, Finish: 2024-11-25 15:05
[11-24 00:57:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:14:00 tlr: 0.00018 tnm: 0.31 Lm: 6.510 (6.510) Lt: 5.802 (5.802) Accm: 3.56 (3.56) Acct: 5.23 (5.23) proj_loss: -0.5731 (-0.5731) time: 0.5036 data: 0.0003
[11-24 00:57:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:14:00 tlr: 0.00018 tnm: 0.31 Lm: 6.750 (6.750) Lt: 5.998 (5.998) Accm: 2.75 (2.75) Acct: 4.41 (4.41) proj_loss: -0.5775 (-0.5775) time: 0.5034 data: 0.0004
[11-24 00:57:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:14:24 tlr: 0.00018 tnm: 0.31 Lm: 6.650 (6.650) Lt: 5.892 (5.892) Accm: 3.01 (3.01) Acct: 4.75 (4.75) proj_loss: -0.5617 (-0.5617) time: 0.5182 data: 0.0004
[11-24 00:57:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:14:00 tlr: 0.00018 tnm: 0.31 Lm: 6.668 (6.668) Lt: 5.954 (5.954) Accm: 3.00 (3.00) Acct: 4.60 (4.60) proj_loss: -0.5852 (-0.5852) time: 0.5034 data: 0.0004
[11-24 01:00:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:10:09 tlr: 0.00018 tnm: 0.32 Lm: 6.714 (6.714) Lt: 5.988 (5.988) Accm: 3.03 (3.03) Acct: 4.69 (4.69) proj_loss: -0.5637 (-0.5637) time: 0.5255 data: 0.0003
[11-24 01:00:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:10:09 tlr: 0.00018 tnm: 0.32 Lm: 6.720 (6.720) Lt: 5.989 (5.989) Accm: 2.80 (2.80) Acct: 4.36 (4.36) proj_loss: -0.5583 (-0.5583) time: 0.5255 data: 0.0003
[11-24 01:00:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:10:09 tlr: 0.00018 tnm: 0.32 Lm: 6.722 (6.722) Lt: 5.989 (5.989) Accm: 2.78 (2.78) Acct: 4.38 (4.38) proj_loss: -0.5719 (-0.5719) time: 0.5255 data: 0.0003
[11-24 01:00:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:10:09 tlr: 0.00018 tnm: 0.32 Lm: 6.637 (6.637) Lt: 5.934 (5.934) Accm: 3.25 (3.25) Acct: 4.87 (4.87) proj_loss: -0.5804 (-0.5804) time: 0.5255 data: 0.0003
[11-24 01:03:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.30 Lm: 6.764 (6.710) Lt: 6.067 (6.004) Accm: 2.93 (2.97) Acct: 4.51 (4.59) proj_loss: -0.5782 (-0.5796) time: 0.4848 data: 0.0003
[11-24 01:03:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.30 Lm: 6.650 (6.691) Lt: 5.906 (5.962) Accm: 3.01 (2.92) Acct: 4.75 (4.56) proj_loss: -0.5617 (-0.5743) time: 0.4848 data: 0.0003
[11-24 01:03:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.30 Lm: 6.754 (6.728) Lt: 6.022 (5.999) Accm: 3.00 (2.92) Acct: 4.60 (4.64) proj_loss: -0.5667 (-0.5647) time: 0.4848 data: 0.0003
[11-24 01:03:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.30 Lm: 6.695 (6.700) Lt: 5.986 (5.988) Accm: 2.81 (2.80) Acct: 4.36 (4.32) proj_loss: -0.5775 (-0.5789) time: 0.4848 data: 0.0003
[11-24 01:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.32 Lm: 6.722 (6.732) Lt: 5.992 (6.023) Accm: 2.78 (2.72) Acct: 4.27 (4.24) proj_loss: -0.5719 (-0.5730) time: 0.4854 data: 0.0003
[11-24 01:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.32 Lm: 6.674 (6.693) Lt: 5.960 (5.975) Accm: 2.86 (2.87) Acct: 4.42 (4.44) proj_loss: -0.5673 (-0.5740) time: 0.4854 data: 0.0002
[11-24 01:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.32 Lm: 6.759 (6.721) Lt: 6.066 (6.019) Accm: 2.81 (2.90) Acct: 4.26 (4.43) proj_loss: -0.5757 (-0.5763) time: 0.4854 data: 0.0003
[11-24 01:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:03:24 tlr: 0.00018 tnm: 0.32 Lm: 6.711 (6.680) Lt: 5.988 (5.946) Accm: 3.03 (3.00) Acct: 4.69 (4.69) proj_loss: -0.5691 (-0.5664) time: 0.4854 data: 0.0003
[11-24 01:10:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.754 (6.696) Lt: 6.022 (5.964) Accm: 3.00 (2.98) Acct: 4.77 (4.71) proj_loss: -0.5716 (-0.5690) time: 0.4887 data: 0.0018
[11-24 01:10:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.750 (6.752) Lt: 5.998 (6.041) Accm: 2.75 (2.70) Acct: 4.32 (4.26) proj_loss: -0.5771 (-0.5739) time: 0.4887 data: 0.0016
[11-24 01:10:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:13:35 (0.488 s / it)
[11-24 01:10:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.697 (6.708) Lt: 6.014 (5.986) Accm: 3.01 (2.91) Acct: 4.75 (4.51) proj_loss: -0.5617 (-0.5659) time: 0.4887 data: 0.0021
[11-24 01:10:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.754 (6.703) Lt: 6.065 (6.002) Accm: 2.91 (2.90) Acct: 4.51 (4.50) proj_loss: -0.5731 (-0.5752) time: 0.4887 data: 0.0019
[11-24 01:10:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:13:35 (0.488 s / it)
[11-24 01:10:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:13:35 (0.488 s / it)
[11-24 01:10:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:13:35 (0.488 s / it)
[11-24 01:10:42] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.714 (6.714), Lt: 5.989 (5.989), Acc m&t: 2.83 4.48, Remain: 2 days, 6:19:55, Finish: 2024-11-25 15:30
[11-24 01:10:42] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.714 (6.714), Lt: 5.989 (5.989), Acc m&t: 2.83 4.48, Remain: 2 days, 6:19:26, Finish: 2024-11-25 15:30
[11-24 01:10:42] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.714 (6.714), Lt: 5.989 (5.989), Acc m&t: 2.83 4.48, Remain: 2 days, 6:20:00, Finish: 2024-11-25 15:30
[11-24 01:10:42] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.714 (6.714), Lt: 5.989 (5.989), Acc m&t: 2.83 4.48, Remain: 2 days, 6:19:57, Finish: 2024-11-25 15:30
[11-24 01:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:13:06 tlr: 0.00018 tnm: 0.32 Lm: 6.850 (6.850) Lt: 6.154 (6.154) Accm: 2.52 (2.52) Acct: 3.87 (3.87) proj_loss: -0.5498 (-0.5498) time: 0.4712 data: 0.0004
[11-24 01:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:13:07 tlr: 0.00018 tnm: 0.32 Lm: 6.830 (6.830) Lt: 6.136 (6.136) Accm: 2.46 (2.46) Acct: 3.68 (3.68) proj_loss: -0.5774 (-0.5774) time: 0.4717 data: 0.0004
[11-24 01:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:13:03 tlr: 0.00018 tnm: 0.32 Lm: 6.717 (6.717) Lt: 5.987 (5.987) Accm: 2.67 (2.67) Acct: 4.22 (4.22) proj_loss: -0.5706 (-0.5706) time: 0.4692 data: 0.0004
[11-24 01:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:13:02 tlr: 0.00018 tnm: 0.32 Lm: 6.703 (6.703) Lt: 6.006 (6.006) Accm: 2.69 (2.69) Acct: 3.87 (3.87) proj_loss: -0.5772 (-0.5772) time: 0.4687 data: 0.0003
[11-24 01:14:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:10:07 tlr: 0.00018 tnm: 0.34 Lm: 6.730 (6.730) Lt: 6.046 (6.046) Accm: 2.71 (2.71) Acct: 3.99 (3.99) proj_loss: -0.5775 (-0.5775) time: 0.4837 data: 0.0002
[11-24 01:14:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:10:07 tlr: 0.00018 tnm: 0.34 Lm: 6.826 (6.826) Lt: 6.108 (6.108) Accm: 2.49 (2.49) Acct: 3.91 (3.91) proj_loss: -0.5882 (-0.5882) time: 0.4837 data: 0.0002
[11-24 01:14:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:10:07 tlr: 0.00018 tnm: 0.34 Lm: 6.771 (6.771) Lt: 6.029 (6.029) Accm: 2.64 (2.64) Acct: 4.23 (4.23) proj_loss: -0.5755 (-0.5755) time: 0.4837 data: 0.0003
[11-24 01:14:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:10:07 tlr: 0.00018 tnm: 0.34 Lm: 6.784 (6.784) Lt: 6.111 (6.111) Accm: 2.53 (2.53) Acct: 3.84 (3.84) proj_loss: -0.5532 (-0.5532) time: 0.4837 data: 0.0003
[11-24 01:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.33 Lm: 6.718 (6.750) Lt: 6.068 (6.057) Accm: 2.55 (2.72) Acct: 3.87 (4.27) proj_loss: -0.5566 (-0.5630) time: 0.5329 data: 0.0003
[11-24 01:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.33 Lm: 6.822 (6.771) Lt: 6.080 (6.038) Accm: 2.51 (2.63) Acct: 4.13 (4.23) proj_loss: -0.5774 (-0.5792) time: 0.5329 data: 0.0003
[11-24 01:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.33 Lm: 6.717 (6.710) Lt: 5.987 (5.988) Accm: 2.67 (2.96) Acct: 4.24 (4.60) proj_loss: -0.5798 (-0.5770) time: 0.5329 data: 0.0003
[11-24 01:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:06:51 tlr: 0.00018 tnm: 0.33 Lm: 6.703 (6.718) Lt: 6.006 (6.024) Accm: 2.69 (2.69) Acct: 4.06 (4.02) proj_loss: -0.5777 (-0.5794) time: 0.5329 data: 0.0003
[11-24 01:20:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.34 Lm: 6.698 (6.698) Lt: 5.993 (6.001) Accm: 2.71 (2.78) Acct: 4.09 (4.16) proj_loss: -0.5775 (-0.5786) time: 0.4841 data: 0.0002
[11-24 01:20:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.34 Lm: 6.699 (6.732) Lt: 6.008 (6.015) Accm: 2.71 (2.76) Acct: 4.32 (4.39) proj_loss: -0.5608 (-0.5635) time: 0.4841 data: 0.0002
[11-24 01:20:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.34 Lm: 6.826 (6.823) Lt: 6.108 (6.102) Accm: 2.49 (2.52) Acct: 3.91 (4.04) proj_loss: -0.5783 (-0.5792) time: 0.4841 data: 0.0002
[11-24 01:20:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:03:25 tlr: 0.00018 tnm: 0.34 Lm: 6.721 (6.714) Lt: 5.970 (5.979) Accm: 2.72 (2.92) Acct: 4.48 (4.63) proj_loss: -0.5752 (-0.5709) time: 0.4841 data: 0.0003
[11-24 01:24:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.32 Lm: 6.725 (6.723) Lt: 5.987 (5.985) Accm: 2.67 (2.85) Acct: 4.24 (4.51) proj_loss: -0.5715 (-0.5710) time: 0.4846 data: 0.0017
[11-24 01:24:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:13:39 (0.491 s / it)
[11-24 01:24:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.32 Lm: 6.681 (6.687) Lt: 5.949 (5.964) Accm: 2.87 (2.89) Acct: 4.77 (4.57) proj_loss: -0.5649 (-0.5641) time: 0.4846 data: 0.0016
[11-24 01:24:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.32 Lm: 6.822 (6.802) Lt: 6.080 (6.078) Accm: 2.51 (2.52) Acct: 3.72 (3.97) proj_loss: -0.5774 (-0.5750) time: 0.4846 data: 0.0017
[11-24 01:24:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.32 Lm: 6.703 (6.709) Lt: 6.006 (6.003) Accm: 2.72 (2.78) Acct: 4.12 (4.23) proj_loss: -0.5772 (-0.5746) time: 0.4846 data: 0.0018
[11-24 01:24:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:13:39 (0.491 s / it)
[11-24 01:24:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:13:39 (0.491 s / it)
[11-24 01:24:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:13:39 (0.491 s / it)
[11-24 01:24:21] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.708 (6.708), Lt: 5.983 (5.983), Acc m&t: 2.84 4.48, Remain: 2 days, 6:03:01, Finish: 2024-11-25 15:27
[11-24 01:24:21] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.708 (6.708), Lt: 5.983 (5.983), Acc m&t: 2.84 4.48, Remain: 2 days, 6:03:02, Finish: 2024-11-25 15:27
[11-24 01:24:21] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.708 (6.708), Lt: 5.983 (5.983), Acc m&t: 2.84 4.48, Remain: 2 days, 6:03:43, Finish: 2024-11-25 15:28
[11-24 01:24:21] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.708 (6.708), Lt: 5.983 (5.983), Acc m&t: 2.84 4.48, Remain: 2 days, 6:02:51, Finish: 2024-11-25 15:27
[11-24 01:24:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:12:46 tlr: 0.00018 tnm: 0.32 Lm: 6.732 (6.732) Lt: 5.949 (5.949) Accm: 2.63 (2.63) Acct: 4.30 (4.30) proj_loss: -0.5600 (-0.5600) time: 0.4590 data: 0.0004
[11-24 01:24:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:12:46 tlr: 0.00018 tnm: 0.32 Lm: 6.837 (6.837) Lt: 6.084 (6.084) Accm: 2.46 (2.46) Acct: 4.08 (4.08) proj_loss: -0.5600 (-0.5600) time: 0.4590 data: 0.0003
[11-24 01:24:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:12:56 tlr: 0.00018 tnm: 0.32 Lm: 6.535 (6.535) Lt: 5.808 (5.808) Accm: 3.58 (3.58) Acct: 5.48 (5.48) proj_loss: -0.5670 (-0.5670) time: 0.4653 data: 0.0004
[11-24 01:24:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:12:56 tlr: 0.00018 tnm: 0.32 Lm: 6.689 (6.689) Lt: 5.943 (5.943) Accm: 3.31 (3.31) Acct: 5.04 (5.04) proj_loss: -0.5982 (-0.5982) time: 0.4650 data: 0.0003
[11-24 01:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:10:05 tlr: 0.00018 tnm: 0.34 Lm: 6.724 (6.724) Lt: 5.988 (5.988) Accm: 3.04 (3.04) Acct: 4.77 (4.77) proj_loss: -0.5847 (-0.5847) time: 0.4827 data: 0.0002
[11-24 01:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:10:05 tlr: 0.00018 tnm: 0.34 Lm: 6.669 (6.669) Lt: 5.981 (5.981) Accm: 3.08 (3.08) Acct: 4.84 (4.84) proj_loss: -0.5738 (-0.5738) time: 0.4827 data: 0.0002
[11-24 01:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:10:05 tlr: 0.00018 tnm: 0.34 Lm: 6.758 (6.758) Lt: 6.020 (6.020) Accm: 2.66 (2.66) Acct: 4.34 (4.34) proj_loss: -0.5608 (-0.5608) time: 0.4827 data: 0.0002
[11-24 01:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:10:05 tlr: 0.00018 tnm: 0.34 Lm: 6.715 (6.715) Lt: 5.971 (5.971) Accm: 2.76 (2.76) Acct: 4.36 (4.36) proj_loss: -0.5680 (-0.5680) time: 0.4827 data: 0.0003
[11-24 01:31:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:06:43 tlr: 0.00017 tnm: 0.34 Lm: 6.698 (6.701) Lt: 5.949 (5.960) Accm: 2.88 (2.80) Acct: 4.41 (4.40) proj_loss: -0.5600 (-0.5646) time: 0.4820 data: 0.0003
[11-24 01:31:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:06:43 tlr: 0.00017 tnm: 0.34 Lm: 6.783 (6.707) Lt: 6.072 (6.011) Accm: 2.57 (2.86) Acct: 4.20 (4.48) proj_loss: -0.5806 (-0.5765) time: 0.4820 data: 0.0002
[11-24 01:31:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:06:43 tlr: 0.00017 tnm: 0.34 Lm: 6.744 (6.730) Lt: 6.020 (5.999) Accm: 2.77 (2.94) Acct: 4.49 (4.56) proj_loss: -0.5775 (-0.5823) time: 0.4820 data: 0.0003
[11-24 01:31:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:06:43 tlr: 0.00017 tnm: 0.34 Lm: 6.809 (6.775) Lt: 6.084 (6.051) Accm: 2.60 (2.64) Acct: 4.08 (4.25) proj_loss: -0.5616 (-0.5622) time: 0.4819 data: 0.0003
[11-24 01:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.32 Lm: 6.743 (6.743) Lt: 6.020 (6.022) Accm: 2.73 (2.74) Acct: 4.34 (4.39) proj_loss: -0.5633 (-0.5645) time: 0.5274 data: 0.0003
[11-24 01:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.32 Lm: 6.686 (6.694) Lt: 5.944 (5.952) Accm: 2.87 (2.82) Acct: 4.44 (4.44) proj_loss: -0.5680 (-0.5690) time: 0.5274 data: 0.0003
[11-24 01:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.32 Lm: 6.749 (6.736) Lt: 6.027 (6.019) Accm: 2.81 (2.91) Acct: 4.49 (4.54) proj_loss: -0.5744 (-0.5796) time: 0.5274 data: 0.0002
[11-24 01:34:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.32 Lm: 6.793 (6.742) Lt: 6.090 (6.035) Accm: 2.50 (2.75) Acct: 4.02 (4.32) proj_loss: -0.5759 (-0.5752) time: 0.5274 data: 0.0002
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.783 (6.722) Lt: 6.072 (6.010) Accm: 2.57 (2.81) Acct: 4.20 (4.40) proj_loss: -0.5712 (-0.5735) time: 0.4899 data: 0.0020
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:13:38 (0.490 s / it)
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.675 (6.680) Lt: 5.939 (5.933) Accm: 2.88 (2.84) Acct: 4.48 (4.48) proj_loss: -0.5759 (-0.5714) time: 0.4899 data: 0.0016
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.678 (6.704) Lt: 5.956 (5.981) Accm: 2.86 (2.84) Acct: 4.60 (4.51) proj_loss: -0.5651 (-0.5678) time: 0.4899 data: 0.0018
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.744 (6.731) Lt: 6.020 (6.012) Accm: 2.77 (2.87) Acct: 4.49 (4.48) proj_loss: -0.5775 (-0.5794) time: 0.4899 data: 0.0015
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:13:38 (0.490 s / it)
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:13:38 (0.490 s / it)
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:13:38 (0.490 s / it)
[11-24 01:38:00] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.704 (6.704), Lt: 5.980 (5.980), Acc m&t: 2.84 4.48, Remain: 2 days, 5:54:37, Finish: 2024-11-25 15:32
[11-24 01:38:00] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.704 (6.704), Lt: 5.980 (5.980), Acc m&t: 2.84 4.48, Remain: 2 days, 5:53:17, Finish: 2024-11-25 15:31
[11-24 01:38:00] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.704 (6.704), Lt: 5.980 (5.980), Acc m&t: 2.84 4.48, Remain: 2 days, 5:55:25, Finish: 2024-11-25 15:33
[11-24 01:38:00] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.704 (6.704), Lt: 5.980 (5.980), Acc m&t: 2.84 4.48, Remain: 2 days, 5:53:54, Finish: 2024-11-25 15:31
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:12:49 tlr: 0.00017 tnm: 0.33 Lm: 6.709 (6.709) Lt: 5.967 (5.967) Accm: 2.48 (2.48) Acct: 3.94 (3.94) proj_loss: -0.5608 (-0.5608) time: 0.4611 data: 0.0004
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:12:49 tlr: 0.00017 tnm: 0.33 Lm: 6.845 (6.845) Lt: 6.065 (6.065) Accm: 2.42 (2.42) Acct: 3.96 (3.96) proj_loss: -0.5411 (-0.5411) time: 0.4612 data: 0.0003
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:12:50 tlr: 0.00017 tnm: 0.33 Lm: 6.696 (6.696) Lt: 5.956 (5.956) Accm: 2.96 (2.96) Acct: 4.79 (4.79) proj_loss: -0.5647 (-0.5647) time: 0.4615 data: 0.0004
[11-24 01:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:12:53 tlr: 0.00017 tnm: 0.33 Lm: 6.745 (6.745) Lt: 5.987 (5.987) Accm: 2.49 (2.49) Acct: 3.63 (3.63) proj_loss: -0.5651 (-0.5651) time: 0.4635 data: 0.0003
[11-24 01:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:10:08 tlr: 0.00017 tnm: 0.32 Lm: 6.741 (6.741) Lt: 5.981 (5.981) Accm: 2.78 (2.78) Acct: 4.34 (4.34) proj_loss: -0.5714 (-0.5714) time: 0.4843 data: 0.0003
[11-24 01:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:10:08 tlr: 0.00017 tnm: 0.32 Lm: 6.797 (6.797) Lt: 6.043 (6.043) Accm: 2.56 (2.56) Acct: 4.23 (4.23) proj_loss: -0.5632 (-0.5632) time: 0.4843 data: 0.0003
[11-24 01:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:10:08 tlr: 0.00017 tnm: 0.32 Lm: 6.771 (6.771) Lt: 6.047 (6.047) Accm: 2.54 (2.54) Acct: 3.98 (3.98) proj_loss: -0.5585 (-0.5585) time: 0.4843 data: 0.0003
[11-24 01:41:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:10:08 tlr: 0.00017 tnm: 0.32 Lm: 6.738 (6.738) Lt: 6.026 (6.026) Accm: 2.70 (2.70) Acct: 4.28 (4.28) proj_loss: -0.5617 (-0.5617) time: 0.4843 data: 0.0003
[11-24 01:44:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.34 Lm: 6.696 (6.712) Lt: 5.956 (6.002) Accm: 2.75 (2.72) Acct: 4.12 (4.22) proj_loss: -0.5616 (-0.5617) time: 0.4865 data: 0.0002
[11-24 01:44:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.34 Lm: 6.749 (6.762) Lt: 6.028 (6.038) Accm: 2.70 (2.64) Acct: 4.24 (4.23) proj_loss: -0.5824 (-0.5696) time: 0.4865 data: 0.0003
[11-24 01:44:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.34 Lm: 6.709 (6.713) Lt: 5.967 (5.977) Accm: 2.60 (2.73) Acct: 4.01 (4.39) proj_loss: -0.5561 (-0.5577) time: 0.4865 data: 0.0003
[11-24 01:44:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.34 Lm: 6.738 (6.720) Lt: 5.974 (5.976) Accm: 2.79 (2.79) Acct: 4.29 (4.32) proj_loss: -0.5778 (-0.5777) time: 0.4865 data: 0.0003
[11-24 01:48:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.33 Lm: 6.775 (6.772) Lt: 6.047 (6.046) Accm: 2.63 (2.62) Acct: 4.10 (4.13) proj_loss: -0.5823 (-0.5727) time: 0.4834 data: 0.0003
[11-24 01:48:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.33 Lm: 6.771 (6.743) Lt: 6.039 (6.011) Accm: 2.59 (2.70) Acct: 4.15 (4.36) proj_loss: -0.5585 (-0.5621) time: 0.4835 data: 0.0002
[11-24 01:48:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.33 Lm: 6.677 (6.695) Lt: 5.954 (5.968) Accm: 2.86 (2.85) Acct: 4.45 (4.43) proj_loss: -0.5602 (-0.5555) time: 0.4834 data: 0.0002
[11-24 01:48:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.33 Lm: 6.741 (6.752) Lt: 5.981 (6.021) Accm: 2.71 (2.75) Acct: 4.15 (4.24) proj_loss: -0.5714 (-0.5743) time: 0.4836 data: 0.0003
[11-24 01:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.738 (6.733) Lt: 5.974 (5.999) Accm: 2.79 (2.81) Acct: 4.29 (4.49) proj_loss: -0.5651 (-0.5710) time: 0.6244 data: 0.0015
[11-24 01:51:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:13:40 (0.491 s / it)
[11-24 01:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.709 (6.717) Lt: 5.967 (5.987) Accm: 2.60 (2.78) Acct: 4.29 (4.44) proj_loss: -0.5608 (-0.5651) time: 0.6244 data: 0.0016
[11-24 01:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.790 (6.775) Lt: 6.065 (6.062) Accm: 2.56 (2.60) Acct: 3.96 (4.08) proj_loss: -0.5822 (-0.5737) time: 0.6244 data: 0.0017
[11-24 01:51:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.696 (6.700) Lt: 5.956 (5.974) Accm: 2.83 (2.84) Acct: 4.37 (4.42) proj_loss: -0.5616 (-0.5638) time: 0.6245 data: 0.0017
[11-24 01:51:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:13:40 (0.491 s / it)
[11-24 01:51:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:13:40 (0.491 s / it)
[11-24 01:51:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:13:40 (0.491 s / it)
[11-24 01:51:40] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.704 (6.710), Lt: 5.980 (5.992), Acc m&t: 2.84 4.48, Remain: 2 days, 6:03:24, Finish: 2024-11-25 15:55
[11-24 01:51:40] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.704 (6.710), Lt: 5.980 (5.992), Acc m&t: 2.84 4.48, Remain: 2 days, 6:01:56, Finish: 2024-11-25 15:53
[11-24 01:51:40] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.704 (6.710), Lt: 5.980 (5.992), Acc m&t: 2.84 4.48, Remain: 2 days, 6:03:29, Finish: 2024-11-25 15:55
[11-24 01:51:40] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.704 (6.710), Lt: 5.980 (5.992), Acc m&t: 2.84 4.48, Remain: 2 days, 6:01:58, Finish: 2024-11-25 15:53
[11-24 01:52:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:22:56 tlr: 0.00017 tnm: 0.31 Lm: 6.853 (6.853) Lt: 6.171 (6.171) Accm: 2.50 (2.50) Acct: 3.94 (3.94) proj_loss: -0.5781 (-0.5781) time: 0.8247 data: 0.0004
[11-24 01:52:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:15:55 tlr: 0.00017 tnm: 0.31 Lm: 6.680 (6.680) Lt: 5.918 (5.918) Accm: 2.90 (2.90) Acct: 4.67 (4.67) proj_loss: -0.5691 (-0.5691) time: 0.5727 data: 0.0004
[11-24 01:52:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:12:55 tlr: 0.00017 tnm: 0.31 Lm: 6.862 (6.862) Lt: 6.121 (6.121) Accm: 2.46 (2.46) Acct: 4.05 (4.05) proj_loss: -0.5802 (-0.5802) time: 0.4648 data: 0.0004
[11-24 01:52:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:53:58 tlr: 0.00017 tnm: 0.31 Lm: 6.805 (6.805) Lt: 6.049 (6.049) Accm: 2.50 (2.50) Acct: 4.15 (4.15) proj_loss: -0.5806 (-0.5806) time: 1.9406 data: 0.0004
[11-24 01:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:10:27 tlr: 0.00017 tnm: 0.34 Lm: 6.765 (6.765) Lt: 6.042 (6.042) Accm: 2.66 (2.66) Acct: 4.29 (4.29) proj_loss: -0.5813 (-0.5813) time: 0.5285 data: 0.0003
[11-24 01:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:10:23 tlr: 0.00017 tnm: 0.34 Lm: 6.754 (6.754) Lt: 6.036 (6.036) Accm: 2.66 (2.66) Acct: 4.18 (4.18) proj_loss: -0.5674 (-0.5674) time: 0.5285 data: 0.0003
[11-24 01:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:10:22 tlr: 0.00017 tnm: 0.34 Lm: 6.861 (6.861) Lt: 6.166 (6.166) Accm: 2.37 (2.37) Acct: 3.83 (3.83) proj_loss: -0.5892 (-0.5892) time: 0.5285 data: 0.0003
[11-24 01:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:10:23 tlr: 0.00017 tnm: 0.34 Lm: 6.767 (6.767) Lt: 6.067 (6.067) Accm: 2.73 (2.73) Acct: 4.30 (4.30) proj_loss: -0.5754 (-0.5754) time: 0.5285 data: 0.0003
[11-24 01:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:06:51 tlr: 0.00017 tnm: 0.33 Lm: 6.853 (6.796) Lt: 6.131 (6.088) Accm: 2.74 (2.73) Acct: 4.22 (4.27) proj_loss: -0.5727 (-0.5732) time: 0.4871 data: 0.0003
[11-24 01:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:06:52 tlr: 0.00017 tnm: 0.33 Lm: 6.725 (6.739) Lt: 6.035 (6.026) Accm: 2.64 (2.66) Acct: 4.20 (4.26) proj_loss: -0.5820 (-0.5863) time: 0.4871 data: 0.0003
[11-24 01:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:06:50 tlr: 0.00017 tnm: 0.33 Lm: 6.860 (6.817) Lt: 6.121 (6.118) Accm: 2.46 (2.49) Acct: 4.05 (3.95) proj_loss: -0.5872 (-0.5885) time: 0.4871 data: 0.0002
[11-24 01:59:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:06:50 tlr: 0.00017 tnm: 0.33 Lm: 6.828 (6.790) Lt: 6.130 (6.067) Accm: 2.42 (2.55) Acct: 3.68 (3.98) proj_loss: -0.5657 (-0.5619) time: 0.4871 data: 0.0003
[11-24 02:02:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:03:24 tlr: 0.00017 tnm: 0.33 Lm: 6.754 (6.750) Lt: 6.024 (6.021) Accm: 2.66 (2.65) Acct: 3.99 (4.06) proj_loss: -0.5659 (-0.5629) time: 0.4826 data: 0.0003
[11-24 02:02:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:03:24 tlr: 0.00017 tnm: 0.33 Lm: 6.814 (6.805) Lt: 6.078 (6.097) Accm: 2.53 (2.52) Acct: 3.99 (3.95) proj_loss: -0.5837 (-0.5843) time: 0.4827 data: 0.0003
[11-24 02:02:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:03:25 tlr: 0.00017 tnm: 0.33 Lm: 6.705 (6.696) Lt: 6.014 (5.951) Accm: 2.74 (2.83) Acct: 4.31 (4.61) proj_loss: -0.5813 (-0.5800) time: 0.4826 data: 0.0002
[11-24 02:02:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:03:24 tlr: 0.00017 tnm: 0.33 Lm: 6.767 (6.761) Lt: 6.047 (6.043) Accm: 2.82 (2.78) Acct: 4.43 (4.44) proj_loss: -0.5754 (-0.5745) time: 0.4826 data: 0.0002
[11-24 02:06:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.844 (6.778) Lt: 6.108 (6.056) Accm: 2.74 (2.70) Acct: 4.22 (4.30) proj_loss: -0.5739 (-0.5744) time: 0.4885 data: 0.0019
[11-24 02:06:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:13:35 (0.489 s / it)
[11-24 02:06:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.749 (6.749) Lt: 6.013 (6.019) Accm: 2.71 (2.66) Acct: 4.30 (4.16) proj_loss: -0.5661 (-0.5650) time: 0.4885 data: 0.0017
[11-24 02:06:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.768 (6.794) Lt: 6.041 (6.086) Accm: 2.55 (2.52) Acct: 3.94 (3.94) proj_loss: -0.5802 (-0.5813) time: 0.4885 data: 0.0018
[11-24 02:06:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.712 (6.699) Lt: 5.993 (5.956) Accm: 2.83 (2.89) Acct: 4.42 (4.66) proj_loss: -0.5806 (-0.5748) time: 0.4885 data: 0.0018
[11-24 02:06:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:13:35 (0.489 s / it)
[11-24 02:06:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:13:35 (0.489 s / it)
[11-24 02:06:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:13:36 (0.489 s / it)
[11-24 02:06:13] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.704 (6.705), Lt: 5.978 (5.978), Acc m&t: 2.85 4.50, Remain: 2 days, 5:34:40, Finish: 2024-11-25 15:40
[11-24 02:06:13] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.704 (6.705), Lt: 5.978 (5.978), Acc m&t: 2.85 4.50, Remain: 2 days, 5:36:31, Finish: 2024-11-25 15:42
[11-24 02:06:13] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.704 (6.705), Lt: 5.978 (5.978), Acc m&t: 2.85 4.50, Remain: 2 days, 5:36:32, Finish: 2024-11-25 15:42
[11-24 02:06:13] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.704 (6.705), Lt: 5.978 (5.978), Acc m&t: 2.85 4.50, Remain: 2 days, 5:36:34, Finish: 2024-11-25 15:42
[11-24 02:06:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:12:57 tlr: 0.00017 tnm: 0.32 Lm: 6.792 (6.792) Lt: 6.136 (6.136) Accm: 2.51 (2.51) Acct: 3.79 (3.79) proj_loss: -0.5916 (-0.5916) time: 0.4661 data: 0.0004
[11-24 02:06:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:13:00 tlr: 0.00017 tnm: 0.32 Lm: 6.621 (6.621) Lt: 5.879 (5.879) Accm: 2.93 (2.93) Acct: 4.49 (4.49) proj_loss: -0.5770 (-0.5770) time: 0.4674 data: 0.0003
[11-24 02:06:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:13:00 tlr: 0.00017 tnm: 0.32 Lm: 6.779 (6.779) Lt: 6.026 (6.026) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: -0.5483 (-0.5483) time: 0.4676 data: 0.0004
[11-24 02:06:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:13:02 tlr: 0.00017 tnm: 0.32 Lm: 6.663 (6.663) Lt: 5.937 (5.937) Accm: 2.67 (2.67) Acct: 4.37 (4.37) proj_loss: -0.5663 (-0.5663) time: 0.4687 data: 0.0003
[11-24 02:09:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.33 Lm: 6.675 (6.675) Lt: 5.993 (5.993) Accm: 2.78 (2.78) Acct: 4.43 (4.43) proj_loss: -0.5807 (-0.5807) time: 0.4845 data: 0.0003
[11-24 02:09:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.33 Lm: 6.629 (6.629) Lt: 5.892 (5.892) Accm: 2.85 (2.85) Acct: 4.48 (4.48) proj_loss: -0.5715 (-0.5715) time: 0.4845 data: 0.0002
[11-24 02:09:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.33 Lm: 6.723 (6.723) Lt: 6.036 (6.036) Accm: 2.68 (2.68) Acct: 4.09 (4.09) proj_loss: -0.5737 (-0.5737) time: 0.4845 data: 0.0003
[11-24 02:09:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.33 Lm: 6.807 (6.807) Lt: 6.102 (6.102) Accm: 2.69 (2.69) Acct: 4.11 (4.11) proj_loss: -0.5688 (-0.5688) time: 0.4845 data: 0.0002
[11-24 02:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:07:00 tlr: 0.00017 tnm: 0.34 Lm: 6.835 (6.841) Lt: 6.177 (6.143) Accm: 2.64 (2.55) Acct: 3.89 (3.97) proj_loss: -0.5638 (-0.5671) time: 0.4850 data: 0.0002
[11-24 02:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:07:00 tlr: 0.00017 tnm: 0.34 Lm: 6.663 (6.617) Lt: 5.937 (5.907) Accm: 2.89 (3.06) Acct: 4.49 (4.89) proj_loss: -0.5676 (-0.5763) time: 0.4850 data: 0.0003
[11-24 02:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:07:00 tlr: 0.00017 tnm: 0.34 Lm: 6.655 (6.682) Lt: 5.936 (5.977) Accm: 2.86 (2.90) Acct: 4.39 (4.47) proj_loss: -0.5638 (-0.5704) time: 0.4850 data: 0.0003
[11-24 02:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:07:00 tlr: 0.00017 tnm: 0.34 Lm: 6.636 (6.702) Lt: 5.905 (5.981) Accm: 2.77 (2.69) Acct: 4.46 (4.24) proj_loss: -0.5661 (-0.5692) time: 0.4850 data: 0.0003
[11-24 02:16:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:03:27 tlr: 0.00017 tnm: 0.31 Lm: 6.651 (6.693) Lt: 5.927 (5.973) Accm: 2.77 (2.71) Acct: 4.30 (4.22) proj_loss: -0.5715 (-0.5785) time: 0.4849 data: 0.0002
[11-24 02:16:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:03:27 tlr: 0.00017 tnm: 0.31 Lm: 6.707 (6.701) Lt: 6.014 (6.006) Accm: 2.76 (2.84) Acct: 4.17 (4.33) proj_loss: -0.5768 (-0.5752) time: 0.4849 data: 0.0003
[11-24 02:16:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:03:27 tlr: 0.00017 tnm: 0.31 Lm: 6.844 (6.844) Lt: 6.179 (6.152) Accm: 2.61 (2.56) Acct: 3.90 (3.96) proj_loss: -0.5726 (-0.5707) time: 0.4849 data: 0.0002
[11-24 02:16:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:03:27 tlr: 0.00017 tnm: 0.31 Lm: 6.675 (6.659) Lt: 5.993 (5.958) Accm: 2.81 (2.98) Acct: 4.43 (4.69) proj_loss: -0.5740 (-0.5773) time: 0.4849 data: 0.0003
[11-24 02:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.663 (6.659) Lt: 5.937 (5.950) Accm: 2.78 (2.94) Acct: 4.49 (4.67) proj_loss: -0.5758 (-0.5770) time: 0.4910 data: 0.0015
[11-24 02:19:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:13:44 (0.494 s / it)
[11-24 02:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.655 (6.666) Lt: 5.936 (5.972) Accm: 2.86 (2.91) Acct: 4.39 (4.45) proj_loss: -0.5846 (-0.5771) time: 0.4910 data: 0.0018
[11-24 02:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.835 (6.808) Lt: 6.177 (6.115) Accm: 2.64 (2.64) Acct: 3.91 (4.04) proj_loss: -0.5813 (-0.5738) time: 0.4910 data: 0.0019
[11-24 02:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.666 (6.694) Lt: 5.923 (5.963) Accm: 2.78 (2.74) Acct: 4.46 (4.31) proj_loss: -0.5710 (-0.5770) time: 0.4910 data: 0.0015
[11-24 02:19:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:13:44 (0.494 s / it)
[11-24 02:19:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:13:44 (0.494 s / it)
[11-24 02:19:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:13:44 (0.494 s / it)
[11-24 02:19:58] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.699 (6.699), Lt: 5.974 (5.974), Acc m&t: 2.85 4.50, Remain: 2 days, 5:23:18, Finish: 2024-11-25 15:43
[11-24 02:19:58] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.699 (6.699), Lt: 5.974 (5.974), Acc m&t: 2.85 4.50, Remain: 2 days, 5:24:03, Finish: 2024-11-25 15:44
[11-24 02:19:58] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.699 (6.699), Lt: 5.974 (5.974), Acc m&t: 2.85 4.50, Remain: 2 days, 5:23:47, Finish: 2024-11-25 15:43
[11-24 02:19:58] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.699 (6.699), Lt: 5.974 (5.974), Acc m&t: 2.85 4.50, Remain: 2 days, 5:22:47, Finish: 2024-11-25 15:42
[11-24 02:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:12:50 tlr: 0.00017 tnm: 0.31 Lm: 6.614 (6.614) Lt: 5.875 (5.875) Accm: 3.00 (3.00) Acct: 4.82 (4.82) proj_loss: -0.5777 (-0.5777) time: 0.4619 data: 0.0003
[11-24 02:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:12:53 tlr: 0.00017 tnm: 0.31 Lm: 6.753 (6.753) Lt: 6.099 (6.099) Accm: 2.46 (2.46) Acct: 3.58 (3.58) proj_loss: -0.5710 (-0.5710) time: 0.4632 data: 0.0003
[11-24 02:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:12:50 tlr: 0.00017 tnm: 0.31 Lm: 6.623 (6.623) Lt: 5.861 (5.861) Accm: 3.19 (3.19) Acct: 5.18 (5.18) proj_loss: -0.5715 (-0.5715) time: 0.4617 data: 0.0004
[11-24 02:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:12:51 tlr: 0.00017 tnm: 0.31 Lm: 6.679 (6.679) Lt: 5.972 (5.972) Accm: 2.84 (2.84) Acct: 4.65 (4.65) proj_loss: -0.5674 (-0.5674) time: 0.4622 data: 0.0004
[11-24 02:23:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.32 Lm: 6.676 (6.676) Lt: 5.986 (5.986) Accm: 2.82 (2.82) Acct: 4.46 (4.46) proj_loss: -0.5779 (-0.5779) time: 0.4902 data: 0.0003
[11-24 02:23:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.32 Lm: 6.657 (6.657) Lt: 5.909 (5.909) Accm: 3.04 (3.04) Acct: 4.85 (4.85) proj_loss: -0.5767 (-0.5767) time: 0.4902 data: 0.0002
[11-24 02:23:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.32 Lm: 6.739 (6.739) Lt: 6.054 (6.054) Accm: 2.63 (2.63) Acct: 4.01 (4.01) proj_loss: -0.5769 (-0.5769) time: 0.4902 data: 0.0003
[11-24 02:23:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.32 Lm: 6.715 (6.715) Lt: 5.978 (5.978) Accm: 2.80 (2.80) Acct: 4.48 (4.48) proj_loss: -0.5689 (-0.5689) time: 0.4902 data: 0.0002
[11-24 02:26:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:06:55 tlr: 0.00017 tnm: 0.33 Lm: 6.679 (6.679) Lt: 5.994 (5.989) Accm: 2.84 (2.83) Acct: 4.63 (4.52) proj_loss: -0.5821 (-0.5793) time: 0.6630 data: 0.0003
[11-24 02:26:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:06:55 tlr: 0.00017 tnm: 0.33 Lm: 6.753 (6.746) Lt: 6.053 (6.053) Accm: 2.80 (2.73) Acct: 4.44 (4.24) proj_loss: -0.5733 (-0.5757) time: 0.6630 data: 0.0003
[11-24 02:26:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:06:55 tlr: 0.00017 tnm: 0.33 Lm: 6.682 (6.704) Lt: 5.919 (5.958) Accm: 2.93 (2.85) Acct: 4.58 (4.51) proj_loss: -0.5777 (-0.5727) time: 0.6630 data: 0.0003
[11-24 02:26:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:06:55 tlr: 0.00017 tnm: 0.33 Lm: 6.623 (6.628) Lt: 5.862 (5.894) Accm: 3.15 (3.08) Acct: 4.55 (4.75) proj_loss: -0.5776 (-0.5770) time: 0.6630 data: 0.0003
[11-24 02:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:03:28 tlr: 0.00017 tnm: 0.33 Lm: 6.626 (6.629) Lt: 5.878 (5.894) Accm: 3.17 (3.12) Acct: 4.84 (4.84) proj_loss: -0.5745 (-0.5739) time: 0.5275 data: 0.0003
[11-24 02:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:03:28 tlr: 0.00017 tnm: 0.33 Lm: 6.757 (6.779) Lt: 6.076 (6.095) Accm: 2.63 (2.66) Acct: 4.08 (4.11) proj_loss: -0.5772 (-0.5771) time: 0.5275 data: 0.0003
[11-24 02:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:03:28 tlr: 0.00017 tnm: 0.33 Lm: 6.682 (6.696) Lt: 5.995 (5.991) Accm: 2.82 (2.77) Acct: 4.45 (4.38) proj_loss: -0.5747 (-0.5746) time: 0.5275 data: 0.0003
[11-24 02:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:03:28 tlr: 0.00017 tnm: 0.33 Lm: 6.683 (6.699) Lt: 5.917 (5.947) Accm: 2.92 (2.86) Acct: 4.57 (4.52) proj_loss: -0.5719 (-0.5711) time: 0.5275 data: 0.0003
[11-24 02:33:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.682 (6.692) Lt: 5.914 (5.935) Accm: 2.93 (2.93) Acct: 4.58 (4.68) proj_loss: -0.5777 (-0.5746) time: 0.4860 data: 0.0015
[11-24 02:33:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:13:47 (0.496 s / it)
[11-24 02:33:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.753 (6.746) Lt: 6.053 (6.059) Accm: 2.80 (2.70) Acct: 4.37 (4.16) proj_loss: -0.5811 (-0.5809) time: 0.4860 data: 0.0017
[11-24 02:33:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.630 (6.668) Lt: 5.894 (5.935) Accm: 3.15 (3.00) Acct: 4.55 (4.69) proj_loss: -0.5715 (-0.5734) time: 0.4860 data: 0.0018
[11-24 02:33:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.679 (6.670) Lt: 5.994 (5.952) Accm: 2.84 (2.88) Acct: 4.63 (4.54) proj_loss: -0.5713 (-0.5740) time: 0.4860 data: 0.0016
[11-24 02:33:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:13:47 (0.496 s / it)
[11-24 02:33:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:13:47 (0.496 s / it)
[11-24 02:33:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:13:47 (0.496 s / it)
[11-24 02:33:46] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.699 (6.706), Lt: 5.974 (5.986), Acc m&t: 2.86 4.50, Remain: 2 days, 5:00:38, Finish: 2024-11-25 15:34
[11-24 02:33:46] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.699 (6.706), Lt: 5.974 (5.986), Acc m&t: 2.86 4.50, Remain: 2 days, 5:01:57, Finish: 2024-11-25 15:35
[11-24 02:33:46] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.699 (6.706), Lt: 5.974 (5.986), Acc m&t: 2.86 4.50, Remain: 2 days, 5:03:09, Finish: 2024-11-25 15:36
[11-24 02:33:46] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.699 (6.706), Lt: 5.974 (5.986), Acc m&t: 2.86 4.50, Remain: 2 days, 5:02:41, Finish: 2024-11-25 15:36
[11-24 02:33:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:12:58 tlr: 0.00017 tnm: 0.33 Lm: 6.607 (6.607) Lt: 5.903 (5.903) Accm: 2.96 (2.96) Acct: 4.63 (4.63) proj_loss: -0.5836 (-0.5836) time: 0.4664 data: 0.0003
[11-24 02:33:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:12:58 tlr: 0.00017 tnm: 0.33 Lm: 6.773 (6.773) Lt: 6.063 (6.063) Accm: 2.64 (2.64) Acct: 4.18 (4.18) proj_loss: -0.5882 (-0.5882) time: 0.4663 data: 0.0004
[11-24 02:33:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:12:58 tlr: 0.00017 tnm: 0.33 Lm: 6.699 (6.699) Lt: 5.976 (5.976) Accm: 2.77 (2.77) Acct: 4.68 (4.68) proj_loss: -0.5754 (-0.5754) time: 0.4665 data: 0.0004
[11-24 02:33:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:12:59 tlr: 0.00017 tnm: 0.33 Lm: 6.677 (6.677) Lt: 5.906 (5.906) Accm: 2.80 (2.80) Acct: 4.67 (4.67) proj_loss: -0.5904 (-0.5904) time: 0.4668 data: 0.0003
[11-24 02:37:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.34 Lm: 6.711 (6.711) Lt: 5.978 (5.978) Accm: 2.81 (2.81) Acct: 4.59 (4.59) proj_loss: -0.5731 (-0.5731) time: 0.4877 data: 0.0003
[11-24 02:37:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.34 Lm: 6.750 (6.750) Lt: 6.033 (6.033) Accm: 2.74 (2.74) Acct: 4.42 (4.42) proj_loss: -0.5757 (-0.5757) time: 0.4877 data: 0.0002
[11-24 02:37:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.34 Lm: 6.683 (6.683) Lt: 5.941 (5.941) Accm: 2.68 (2.68) Acct: 4.30 (4.30) proj_loss: -0.5734 (-0.5734) time: 0.4877 data: 0.0003
[11-24 02:37:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.34 Lm: 6.770 (6.770) Lt: 6.040 (6.040) Accm: 2.62 (2.62) Acct: 4.33 (4.33) proj_loss: -0.5848 (-0.5848) time: 0.4878 data: 0.0003
[11-24 02:40:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:06:44 tlr: 0.00017 tnm: 0.32 Lm: 6.677 (6.725) Lt: 5.940 (6.006) Accm: 2.80 (2.74) Acct: 4.34 (4.33) proj_loss: -0.5904 (-0.5869) time: 0.4806 data: 0.0003
[11-24 02:40:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:06:44 tlr: 0.00017 tnm: 0.32 Lm: 6.773 (6.758) Lt: 6.027 (6.031) Accm: 2.64 (2.65) Acct: 4.18 (4.32) proj_loss: -0.5631 (-0.5698) time: 0.4805 data: 0.0002
[11-24 02:40:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:06:44 tlr: 0.00017 tnm: 0.32 Lm: 6.654 (6.673) Lt: 5.905 (5.929) Accm: 2.96 (2.91) Acct: 4.63 (4.68) proj_loss: -0.5631 (-0.5696) time: 0.4805 data: 0.0002
[11-24 02:40:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:06:44 tlr: 0.00017 tnm: 0.32 Lm: 6.699 (6.694) Lt: 5.976 (5.959) Accm: 2.85 (2.87) Acct: 4.55 (4.57) proj_loss: -0.5707 (-0.5715) time: 0.4806 data: 0.0003
[11-24 02:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.32 Lm: 6.711 (6.718) Lt: 5.978 (6.000) Accm: 2.82 (2.85) Acct: 4.52 (4.43) proj_loss: -0.5695 (-0.5690) time: 0.4863 data: 0.0002
[11-24 02:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.32 Lm: 6.750 (6.736) Lt: 6.015 (6.010) Accm: 2.74 (2.71) Acct: 4.39 (4.39) proj_loss: -0.5670 (-0.5701) time: 0.4863 data: 0.0003
[11-24 02:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.32 Lm: 6.706 (6.713) Lt: 5.942 (5.980) Accm: 2.88 (2.88) Acct: 4.49 (4.60) proj_loss: -0.5677 (-0.5703) time: 0.4863 data: 0.0003
[11-24 02:43:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.32 Lm: 6.669 (6.709) Lt: 5.944 (5.992) Accm: 2.89 (2.81) Acct: 4.48 (4.40) proj_loss: -0.5869 (-0.5860) time: 0.4863 data: 0.0003
[11-24 02:47:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.31 Lm: 6.661 (6.688) Lt: 5.940 (5.971) Accm: 2.97 (2.84) Acct: 4.61 (4.47) proj_loss: -0.5903 (-0.5869) time: 0.4801 data: 0.0018
[11-24 02:47:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:13:47 (0.496 s / it)
[11-24 02:47:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.31 Lm: 6.773 (6.754) Lt: 6.027 (6.034) Accm: 2.70 (2.71) Acct: 4.36 (4.38) proj_loss: -0.5709 (-0.5715) time: 0.4801 data: 0.0016
[11-24 02:47:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.31 Lm: 6.699 (6.689) Lt: 5.976 (5.962) Accm: 2.85 (2.97) Acct: 4.55 (4.66) proj_loss: -0.5683 (-0.5681) time: 0.4801 data: 0.0019
[11-24 02:47:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.31 Lm: 6.654 (6.700) Lt: 5.926 (5.969) Accm: 2.88 (2.88) Acct: 4.36 (4.55) proj_loss: -0.5724 (-0.5727) time: 0.4801 data: 0.0018
[11-24 02:47:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:13:47 (0.496 s / it)
[11-24 02:47:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:13:47 (0.496 s / it)
[11-24 02:47:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:13:47 (0.496 s / it)
[11-24 02:47:33] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.694 (6.694), Lt: 5.972 (5.972), Acc m&t: 2.88 4.54, Remain: 2 days, 3:50:54, Finish: 2024-11-25 14:38
[11-24 02:47:33] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.694 (6.694), Lt: 5.972 (5.972), Acc m&t: 2.88 4.54, Remain: 2 days, 3:49:03, Finish: 2024-11-25 14:36
[11-24 02:47:33] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.694 (6.694), Lt: 5.972 (5.972), Acc m&t: 2.88 4.54, Remain: 2 days, 3:49:45, Finish: 2024-11-25 14:37
[11-24 02:47:33] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.694 (6.694), Lt: 5.972 (5.972), Acc m&t: 2.88 4.54, Remain: 2 days, 3:49:40, Finish: 2024-11-25 14:37
[11-24 02:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:12:48 tlr: 0.00017 tnm: 0.33 Lm: 6.761 (6.761) Lt: 6.029 (6.029) Accm: 2.46 (2.46) Acct: 3.91 (3.91) proj_loss: -0.5354 (-0.5354) time: 0.4602 data: 0.0003
[11-24 02:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:12:49 tlr: 0.00017 tnm: 0.33 Lm: 6.610 (6.610) Lt: 5.818 (5.818) Accm: 3.34 (3.34) Acct: 5.66 (5.66) proj_loss: -0.5775 (-0.5775) time: 0.4608 data: 0.0004
[11-24 02:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:12:49 tlr: 0.00017 tnm: 0.33 Lm: 6.747 (6.747) Lt: 6.047 (6.047) Accm: 2.70 (2.70) Acct: 4.13 (4.13) proj_loss: -0.5845 (-0.5845) time: 0.4609 data: 0.0003
[11-24 02:47:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:12:49 tlr: 0.00017 tnm: 0.33 Lm: 6.521 (6.521) Lt: 5.761 (5.761) Accm: 3.69 (3.69) Acct: 5.82 (5.82) proj_loss: -0.5744 (-0.5744) time: 0.4608 data: 0.0004
[11-24 02:50:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:10:06 tlr: 0.00017 tnm: 0.34 Lm: 6.531 (6.531) Lt: 5.781 (5.781) Accm: 3.45 (3.45) Acct: 5.48 (5.48) proj_loss: -0.5750 (-0.5750) time: 0.4825 data: 0.0003
[11-24 02:50:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:10:06 tlr: 0.00017 tnm: 0.34 Lm: 6.772 (6.772) Lt: 6.030 (6.030) Accm: 2.76 (2.76) Acct: 4.56 (4.56) proj_loss: -0.5759 (-0.5759) time: 0.4825 data: 0.0003
[11-24 02:50:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:10:06 tlr: 0.00017 tnm: 0.34 Lm: 6.760 (6.760) Lt: 6.041 (6.041) Accm: 2.68 (2.68) Acct: 4.23 (4.23) proj_loss: -0.5849 (-0.5849) time: 0.4825 data: 0.0003
[11-24 02:50:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:10:06 tlr: 0.00017 tnm: 0.34 Lm: 6.670 (6.670) Lt: 5.944 (5.944) Accm: 2.85 (2.85) Acct: 4.61 (4.61) proj_loss: -0.5720 (-0.5720) time: 0.4825 data: 0.0003
[11-24 02:54:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:06:44 tlr: 0.00017 tnm: 0.33 Lm: 6.747 (6.722) Lt: 6.035 (6.004) Accm: 2.70 (2.83) Acct: 4.32 (4.34) proj_loss: -0.5845 (-0.5824) time: 0.4857 data: 0.0003
[11-24 02:54:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:06:44 tlr: 0.00017 tnm: 0.33 Lm: 6.703 (6.749) Lt: 6.006 (6.022) Accm: 2.88 (2.80) Acct: 4.65 (4.59) proj_loss: -0.5743 (-0.5730) time: 0.4856 data: 0.0003
[11-24 02:54:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:06:44 tlr: 0.00017 tnm: 0.33 Lm: 6.542 (6.615) Lt: 5.800 (5.882) Accm: 3.21 (3.18) Acct: 5.15 (4.96) proj_loss: -0.5756 (-0.5836) time: 0.4857 data: 0.0003
[11-24 02:54:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:06:44 tlr: 0.00017 tnm: 0.33 Lm: 6.601 (6.647) Lt: 5.859 (5.914) Accm: 2.98 (2.89) Acct: 4.63 (4.62) proj_loss: -0.5727 (-0.5722) time: 0.4857 data: 0.0002
[11-24 02:57:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:03:22 tlr: 0.00017 tnm: 0.36 Lm: 6.642 (6.656) Lt: 5.919 (5.930) Accm: 2.80 (2.82) Acct: 4.44 (4.53) proj_loss: -0.5724 (-0.5722) time: 0.4898 data: 0.0002
[11-24 02:57:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:03:22 tlr: 0.00017 tnm: 0.36 Lm: 6.794 (6.783) Lt: 6.084 (6.057) Accm: 2.75 (2.75) Acct: 4.36 (4.46) proj_loss: -0.5708 (-0.5704) time: 0.4898 data: 0.0002
[11-24 02:57:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:03:22 tlr: 0.00017 tnm: 0.36 Lm: 6.760 (6.750) Lt: 6.041 (6.042) Accm: 2.68 (2.74) Acct: 4.23 (4.21) proj_loss: -0.5809 (-0.5796) time: 0.4898 data: 0.0003
[11-24 02:57:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:03:22 tlr: 0.00017 tnm: 0.36 Lm: 6.662 (6.661) Lt: 5.942 (5.936) Accm: 2.92 (3.00) Acct: 4.64 (4.76) proj_loss: -0.5831 (-0.5853) time: 0.4898 data: 0.0003
[11-24 03:01:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.676 (6.664) Lt: 5.921 (5.933) Accm: 2.92 (2.98) Acct: 4.75 (4.76) proj_loss: -0.5756 (-0.5824) time: 0.6656 data: 0.0019
[11-24 03:01:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:13:38 (0.490 s / it)
[11-24 03:01:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.703 (6.763) Lt: 6.006 (6.040) Accm: 2.81 (2.76) Acct: 4.60 (4.49) proj_loss: -0.5743 (-0.5733) time: 0.6657 data: 0.0018
[11-24 03:01:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.772 (6.758) Lt: 6.047 (6.047) Accm: 2.70 (2.73) Acct: 4.13 (4.16) proj_loss: -0.5773 (-0.5758) time: 0.6656 data: 0.0016
[11-24 03:01:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.683 (6.675) Lt: 5.980 (5.945) Accm: 2.62 (2.77) Acct: 4.25 (4.38) proj_loss: -0.5727 (-0.5746) time: 0.6656 data: 0.0015
[11-24 03:01:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:13:38 (0.490 s / it)
[11-24 03:01:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:13:38 (0.490 s / it)
[11-24 03:01:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:13:38 (0.490 s / it)
[11-24 03:05:17] (me/user/VAR/evaluator.py, line 590)=> downloading InceptionV3 model...
[11-24 03:06:32] (home/user/VAR/trainer.py, line 114)=> FID: 4.255340789248635
[11-24 03:06:33] (/home/user/VAR/train.py , line 259)=> [*] [ep119] (val 50000) Lm: 6.6783, Lt: 5.9516, Acc m&t: 2.91 4.57, Val cost: 320.58s
[11-24 03:06:33] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 03:06:56] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.678 (6.678), Lt: 5.952 (5.952), Acc m&t: 2.91 4.57, Remain: 2 days, 4:45:30, Finish: 2024-11-25 15:46
[11-24 03:06:56] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.678 (6.678), Lt: 5.952 (5.952), Acc m&t: 2.91 4.57, Remain: 2 days, 4:45:42, Finish: 2024-11-25 15:46
[11-24 03:06:56] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.678 (6.678), Lt: 5.952 (5.952), Acc m&t: 2.91 4.57, Remain: 2 days, 4:45:39, Finish: 2024-11-25 15:46
[11-24 03:06:56] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.678 (6.678), Lt: 5.952 (5.952), Acc m&t: 2.91 4.57, Remain: 2 days, 4:44:59, Finish: 2024-11-25 15:46
[11-24 03:06:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:17:07 tlr: 0.00017 tnm: 0.33 Lm: 6.575 (6.575) Lt: 5.890 (5.890) Accm: 2.87 (2.87) Acct: 4.55 (4.55) proj_loss: -0.5753 (-0.5753) time: 0.6159 data: 0.0003
[11-24 03:06:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:17:11 tlr: 0.00017 tnm: 0.33 Lm: 6.707 (6.707) Lt: 5.973 (5.973) Accm: 3.00 (3.00) Acct: 4.77 (4.77) proj_loss: -0.5675 (-0.5675) time: 0.6180 data: 0.0004
[11-24 03:06:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:17:12 tlr: 0.00017 tnm: 0.33 Lm: 6.761 (6.761) Lt: 6.021 (6.021) Accm: 2.83 (2.83) Acct: 4.30 (4.30) proj_loss: -0.5477 (-0.5477) time: 0.6185 data: 0.0004
[11-24 03:06:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:17:08 tlr: 0.00017 tnm: 0.33 Lm: 6.719 (6.719) Lt: 6.013 (6.013) Accm: 2.97 (2.97) Acct: 4.56 (4.56) proj_loss: -0.5817 (-0.5817) time: 0.6162 data: 0.0004
[11-24 03:10:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.32 Lm: 6.748 (6.748) Lt: 6.024 (6.024) Accm: 2.83 (2.83) Acct: 4.40 (4.40) proj_loss: -0.5833 (-0.5833) time: 0.4898 data: 0.0003
[11-24 03:10:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.32 Lm: 6.776 (6.776) Lt: 6.041 (6.041) Accm: 2.78 (2.78) Acct: 4.39 (4.39) proj_loss: -0.5627 (-0.5627) time: 0.4898 data: 0.0003
[11-24 03:10:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.32 Lm: 6.589 (6.589) Lt: 5.902 (5.902) Accm: 3.03 (3.03) Acct: 4.75 (4.75) proj_loss: -0.5847 (-0.5847) time: 0.4898 data: 0.0002
[11-24 03:10:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.32 Lm: 6.767 (6.767) Lt: 6.052 (6.052) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.5693 (-0.5693) time: 0.4898 data: 0.0003
[11-24 03:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:06:46 tlr: 0.00017 tnm: 0.34 Lm: 6.826 (6.789) Lt: 6.127 (6.077) Accm: 2.48 (2.63) Acct: 3.96 (4.14) proj_loss: -0.5711 (-0.5754) time: 0.4913 data: 0.0003
[11-24 03:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:06:46 tlr: 0.00017 tnm: 0.34 Lm: 6.604 (6.664) Lt: 5.914 (5.970) Accm: 2.87 (2.89) Acct: 4.55 (4.53) proj_loss: -0.5760 (-0.5818) time: 0.4913 data: 0.0003
[11-24 03:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:06:46 tlr: 0.00017 tnm: 0.34 Lm: 6.775 (6.757) Lt: 6.034 (6.046) Accm: 2.69 (2.68) Acct: 4.24 (4.19) proj_loss: -0.5821 (-0.5829) time: 0.4913 data: 0.0003
[11-24 03:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:06:46 tlr: 0.00017 tnm: 0.34 Lm: 6.761 (6.737) Lt: 6.021 (6.020) Accm: 2.83 (2.82) Acct: 4.30 (4.34) proj_loss: -0.5698 (-0.5651) time: 0.4913 data: 0.0003
[11-24 03:17:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.35 Lm: 6.776 (6.758) Lt: 6.041 (6.050) Accm: 2.82 (2.82) Acct: 4.39 (4.38) proj_loss: -0.5738 (-0.5683) time: 0.4865 data: 0.0003
[11-24 03:17:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.35 Lm: 6.747 (6.725) Lt: 6.024 (5.996) Accm: 2.81 (2.74) Acct: 4.40 (4.30) proj_loss: -0.5819 (-0.5804) time: 0.4865 data: 0.0003
[11-24 03:17:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.35 Lm: 6.702 (6.699) Lt: 6.001 (6.000) Accm: 2.74 (2.81) Acct: 4.32 (4.40) proj_loss: -0.5757 (-0.5789) time: 0.4865 data: 0.0002
[11-24 03:17:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.35 Lm: 6.774 (6.772) Lt: 6.050 (6.051) Accm: 2.58 (2.64) Acct: 4.05 (4.14) proj_loss: -0.5693 (-0.5716) time: 0.4866 data: 0.0003
[11-24 03:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.721 (6.738) Lt: 5.973 (6.028) Accm: 2.67 (2.71) Acct: 4.15 (4.26) proj_loss: -0.5711 (-0.5743) time: 0.4894 data: 0.0018
[11-24 03:20:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:13:33 (0.487 s / it)
[11-24 03:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.719 (6.678) Lt: 6.013 (5.935) Accm: 2.94 (2.88) Acct: 4.56 (4.57) proj_loss: -0.5817 (-0.5772) time: 0.4894 data: 0.0016
[11-24 03:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.773 (6.714) Lt: 6.065 (6.013) Accm: 2.83 (2.81) Acct: 4.42 (4.41) proj_loss: -0.5753 (-0.5752) time: 0.4894 data: 0.0020
[11-24 03:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.761 (6.748) Lt: 6.021 (6.024) Accm: 2.83 (2.84) Acct: 4.48 (4.45) proj_loss: -0.5730 (-0.5692) time: 0.4894 data: 0.0016
[11-24 03:20:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:13:33 (0.487 s / it)
[11-24 03:20:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:13:33 (0.487 s / it)
[11-24 03:20:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:13:33 (0.487 s / it)
[11-24 03:20:29] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.678 (6.682), Lt: 5.952 (5.953), Acc m&t: 2.91 4.61, Remain: 2 days, 4:37:12, Finish: 2024-11-25 15:57
[11-24 03:20:29] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.678 (6.682), Lt: 5.952 (5.953), Acc m&t: 2.91 4.61, Remain: 2 days, 4:36:39, Finish: 2024-11-25 15:57
[11-24 03:20:29] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.678 (6.682), Lt: 5.952 (5.953), Acc m&t: 2.91 4.61, Remain: 2 days, 4:38:14, Finish: 2024-11-25 15:58
[11-24 03:20:29] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.678 (6.682), Lt: 5.952 (5.953), Acc m&t: 2.91 4.61, Remain: 2 days, 4:37:01, Finish: 2024-11-25 15:57
[11-24 03:20:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:13:21 tlr: 0.00017 tnm: 0.32 Lm: 6.768 (6.768) Lt: 6.051 (6.051) Accm: 2.61 (2.61) Acct: 4.03 (4.03) proj_loss: -0.5809 (-0.5809) time: 0.4800 data: 0.0004
[11-24 03:20:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:13:50 tlr: 0.00017 tnm: 0.32 Lm: 6.419 (6.419) Lt: 5.703 (5.703) Accm: 4.17 (4.17) Acct: 5.91 (5.91) proj_loss: -0.5894 (-0.5894) time: 0.4974 data: 0.0003
[11-24 03:20:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:13:20 tlr: 0.00017 tnm: 0.32 Lm: 6.601 (6.601) Lt: 5.906 (5.906) Accm: 3.18 (3.18) Acct: 5.17 (5.17) proj_loss: -0.5793 (-0.5793) time: 0.4799 data: 0.0004
[11-24 03:20:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:13:21 tlr: 0.00017 tnm: 0.32 Lm: 6.528 (6.528) Lt: 5.808 (5.808) Accm: 3.60 (3.60) Acct: 5.54 (5.54) proj_loss: -0.5930 (-0.5930) time: 0.4800 data: 0.0004
[11-24 03:24:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:10:33 tlr: 0.00017 tnm: 0.32 Lm: 6.587 (6.587) Lt: 5.846 (5.846) Accm: 3.22 (3.22) Acct: 5.11 (5.11) proj_loss: -0.5791 (-0.5791) time: 0.4893 data: 0.0003
[11-24 03:24:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:10:33 tlr: 0.00017 tnm: 0.32 Lm: 6.628 (6.628) Lt: 5.927 (5.927) Accm: 3.00 (3.00) Acct: 4.69 (4.69) proj_loss: -0.5870 (-0.5870) time: 0.4893 data: 0.0003
[11-24 03:24:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:10:33 tlr: 0.00017 tnm: 0.32 Lm: 6.604 (6.604) Lt: 5.911 (5.911) Accm: 3.39 (3.39) Acct: 4.91 (4.91) proj_loss: -0.5791 (-0.5791) time: 0.4892 data: 0.0003
[11-24 03:24:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:10:33 tlr: 0.00017 tnm: 0.32 Lm: 6.719 (6.719) Lt: 5.999 (5.999) Accm: 2.87 (2.87) Acct: 4.62 (4.62) proj_loss: -0.5751 (-0.5751) time: 0.4892 data: 0.0003
[11-24 03:27:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:06:56 tlr: 0.00017 tnm: 0.32 Lm: 6.670 (6.683) Lt: 5.948 (5.934) Accm: 3.14 (3.07) Acct: 5.22 (4.99) proj_loss: -0.5809 (-0.5822) time: 0.4867 data: 0.0003
[11-24 03:27:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:06:56 tlr: 0.00017 tnm: 0.32 Lm: 6.645 (6.644) Lt: 5.884 (5.913) Accm: 2.85 (3.04) Acct: 4.67 (4.81) proj_loss: -0.5866 (-0.5816) time: 0.4867 data: 0.0003
[11-24 03:27:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:06:56 tlr: 0.00017 tnm: 0.32 Lm: 6.517 (6.575) Lt: 5.775 (5.866) Accm: 3.43 (3.41) Acct: 5.49 (5.10) proj_loss: -0.5687 (-0.5754) time: 0.4867 data: 0.0003
[11-24 03:27:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:06:56 tlr: 0.00017 tnm: 0.32 Lm: 6.654 (6.707) Lt: 5.948 (5.986) Accm: 2.83 (2.79) Acct: 4.22 (4.37) proj_loss: -0.5793 (-0.5784) time: 0.4867 data: 0.0003
[11-24 03:30:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:03:26 tlr: 0.00017 tnm: 0.33 Lm: 6.700 (6.716) Lt: 5.997 (6.001) Accm: 2.76 (2.76) Acct: 4.19 (4.32) proj_loss: -0.5788 (-0.5784) time: 0.4866 data: 0.0003
[11-24 03:30:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:03:26 tlr: 0.00017 tnm: 0.33 Lm: 6.657 (6.650) Lt: 5.914 (5.921) Accm: 2.88 (3.01) Acct: 4.57 (4.73) proj_loss: -0.5802 (-0.5796) time: 0.4866 data: 0.0003
[11-24 03:30:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:03:26 tlr: 0.00017 tnm: 0.33 Lm: 6.645 (6.625) Lt: 5.922 (5.916) Accm: 3.06 (3.23) Acct: 4.92 (4.92) proj_loss: -0.5791 (-0.5799) time: 0.4866 data: 0.0003
[11-24 03:30:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:03:26 tlr: 0.00017 tnm: 0.33 Lm: 6.703 (6.696) Lt: 5.973 (5.950) Accm: 2.87 (2.95) Acct: 4.62 (4.72) proj_loss: -0.5855 (-0.5841) time: 0.4866 data: 0.0003
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.670 (6.690) Lt: 5.984 (5.957) Accm: 3.10 (2.98) Acct: 5.22 (4.85) proj_loss: -0.5809 (-0.5823) time: 0.4904 data: 0.0017
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.663 (6.706) Lt: 5.951 (5.991) Accm: 2.83 (2.86) Acct: 4.22 (4.43) proj_loss: -0.5784 (-0.5778) time: 0.4904 data: 0.0016
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.668 (6.688) Lt: 5.945 (5.966) Accm: 2.85 (2.89) Acct: 4.48 (4.53) proj_loss: -0.5737 (-0.5768) time: 0.4904 data: 0.0016
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:13:42 (0.493 s / it)
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.708 (6.641) Lt: 5.955 (5.924) Accm: 2.69 (3.10) Acct: 4.36 (4.73) proj_loss: -0.5687 (-0.5770) time: 0.4904 data: 0.0015
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:13:42 (0.493 s / it)
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:13:42 (0.493 s / it)
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:13:42 (0.493 s / it)
[11-24 03:34:12] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.678 (6.689), Lt: 5.952 (5.961), Acc m&t: 2.91 4.61, Remain: 2 days, 4:20:27, Finish: 2024-11-25 15:54
[11-24 03:34:12] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.678 (6.689), Lt: 5.952 (5.961), Acc m&t: 2.91 4.61, Remain: 2 days, 4:18:45, Finish: 2024-11-25 15:52
[11-24 03:34:12] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.678 (6.689), Lt: 5.952 (5.961), Acc m&t: 2.91 4.61, Remain: 2 days, 4:18:54, Finish: 2024-11-25 15:53
[11-24 03:34:12] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.678 (6.689), Lt: 5.952 (5.961), Acc m&t: 2.91 4.61, Remain: 2 days, 4:20:31, Finish: 2024-11-25 15:54
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:13:01 tlr: 0.00017 tnm: 0.33 Lm: 6.782 (6.782) Lt: 6.085 (6.085) Accm: 2.56 (2.56) Acct: 4.05 (4.05) proj_loss: -0.5757 (-0.5757) time: 0.4684 data: 0.0004
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:13:01 tlr: 0.00017 tnm: 0.33 Lm: 6.648 (6.648) Lt: 5.953 (5.953) Accm: 3.05 (3.05) Acct: 4.96 (4.96) proj_loss: -0.5826 (-0.5826) time: 0.4681 data: 0.0003
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:13:02 tlr: 0.00017 tnm: 0.33 Lm: 6.560 (6.560) Lt: 5.809 (5.809) Accm: 3.45 (3.45) Acct: 5.37 (5.37) proj_loss: -0.5661 (-0.5661) time: 0.4686 data: 0.0003
[11-24 03:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:12:59 tlr: 0.00017 tnm: 0.33 Lm: 6.826 (6.826) Lt: 6.110 (6.110) Accm: 2.67 (2.67) Acct: 4.61 (4.61) proj_loss: -0.5858 (-0.5858) time: 0.4670 data: 0.0004
[11-24 03:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:10:09 tlr: 0.00017 tnm: 0.31 Lm: 6.748 (6.748) Lt: 6.045 (6.045) Accm: 2.72 (2.72) Acct: 4.42 (4.42) proj_loss: -0.5809 (-0.5809) time: 0.4865 data: 0.0003
[11-24 03:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:10:09 tlr: 0.00017 tnm: 0.31 Lm: 6.741 (6.741) Lt: 5.989 (5.989) Accm: 3.00 (3.00) Acct: 4.78 (4.78) proj_loss: -0.5646 (-0.5646) time: 0.4864 data: 0.0003
[11-24 03:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:10:09 tlr: 0.00017 tnm: 0.31 Lm: 6.765 (6.765) Lt: 6.060 (6.060) Accm: 2.66 (2.66) Acct: 4.20 (4.20) proj_loss: -0.5744 (-0.5744) time: 0.4865 data: 0.0003
[11-24 03:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:10:09 tlr: 0.00017 tnm: 0.31 Lm: 6.688 (6.688) Lt: 5.982 (5.982) Accm: 2.91 (2.91) Acct: 4.50 (4.50) proj_loss: -0.5786 (-0.5786) time: 0.4864 data: 0.0003
[11-24 03:40:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.32 Lm: 6.708 (6.695) Lt: 5.986 (5.983) Accm: 2.78 (2.87) Acct: 4.44 (4.48) proj_loss: -0.5746 (-0.5759) time: 0.4838 data: 0.0003
[11-24 03:40:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.32 Lm: 6.774 (6.757) Lt: 6.077 (6.056) Accm: 2.67 (2.63) Acct: 4.24 (4.20) proj_loss: -0.5858 (-0.5857) time: 0.4838 data: 0.0003
[11-24 03:40:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.32 Lm: 6.685 (6.722) Lt: 5.993 (5.990) Accm: 2.96 (2.99) Acct: 4.68 (4.75) proj_loss: -0.5661 (-0.5683) time: 0.4838 data: 0.0003
[11-24 03:40:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.32 Lm: 6.747 (6.751) Lt: 6.035 (6.026) Accm: 2.76 (2.70) Acct: 4.36 (4.30) proj_loss: -0.5731 (-0.5709) time: 0.4838 data: 0.0003
[11-24 03:44:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:03:24 tlr: 0.00017 tnm: 0.32 Lm: 6.736 (6.728) Lt: 5.997 (5.994) Accm: 2.77 (2.74) Acct: 4.36 (4.32) proj_loss: -0.5702 (-0.5700) time: 0.4884 data: 0.0003
[11-24 03:44:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:03:24 tlr: 0.00017 tnm: 0.32 Lm: 6.722 (6.731) Lt: 6.030 (6.037) Accm: 2.72 (2.77) Acct: 4.42 (4.37) proj_loss: -0.5813 (-0.5834) time: 0.4884 data: 0.0003
[11-24 03:44:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:03:24 tlr: 0.00017 tnm: 0.32 Lm: 6.700 (6.721) Lt: 5.998 (5.993) Accm: 2.90 (2.95) Acct: 4.66 (4.72) proj_loss: -0.5691 (-0.5693) time: 0.4884 data: 0.0002
[11-24 03:44:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:03:24 tlr: 0.00017 tnm: 0.32 Lm: 6.718 (6.717) Lt: 5.998 (6.009) Accm: 2.77 (2.79) Acct: 4.24 (4.35) proj_loss: -0.5771 (-0.5769) time: 0.4884 data: 0.0003
[11-24 03:47:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.728 (6.745) Lt: 6.011 (6.031) Accm: 2.76 (2.72) Acct: 4.05 (4.29) proj_loss: -0.5796 (-0.5790) time: 0.4887 data: 0.0016
[11-24 03:47:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:13:45 (0.495 s / it)
[11-24 03:47:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.716 (6.733) Lt: 6.003 (6.015) Accm: 2.85 (2.92) Acct: 4.63 (4.65) proj_loss: -0.5721 (-0.5728) time: 0.4887 data: 0.0016
[11-24 03:47:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.756 (6.736) Lt: 6.034 (6.037) Accm: 2.78 (2.78) Acct: 4.30 (4.36) proj_loss: -0.5768 (-0.5800) time: 0.4887 data: 0.0016
[11-24 03:47:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.724 (6.704) Lt: 5.959 (5.968) Accm: 2.78 (2.79) Acct: 4.37 (4.40) proj_loss: -0.5722 (-0.5705) time: 0.4887 data: 0.0015
[11-24 03:47:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:13:45 (0.495 s / it)
[11-24 03:47:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:13:45 (0.495 s / it)
[11-24 03:47:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:13:45 (0.495 s / it)
[11-24 03:47:57] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.678 (6.703), Lt: 5.952 (5.978), Acc m&t: 2.91 4.61, Remain: 2 days, 3:56:53, Finish: 2024-11-25 15:44
[11-24 03:47:57] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.678 (6.703), Lt: 5.952 (5.978), Acc m&t: 2.91 4.61, Remain: 2 days, 3:58:13, Finish: 2024-11-25 15:46
[11-24 03:47:57] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.678 (6.703), Lt: 5.952 (5.978), Acc m&t: 2.91 4.61, Remain: 2 days, 3:58:48, Finish: 2024-11-25 15:46
[11-24 03:47:57] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.678 (6.703), Lt: 5.952 (5.978), Acc m&t: 2.91 4.61, Remain: 2 days, 3:58:14, Finish: 2024-11-25 15:46
[11-24 03:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:12:56 tlr: 0.00017 tnm: 0.32 Lm: 6.696 (6.696) Lt: 5.980 (5.980) Accm: 2.72 (2.72) Acct: 4.15 (4.15) proj_loss: -0.5669 (-0.5669) time: 0.4650 data: 0.0004
[11-24 03:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:12:55 tlr: 0.00017 tnm: 0.32 Lm: 6.660 (6.660) Lt: 5.926 (5.926) Accm: 3.13 (3.13) Acct: 4.94 (4.94) proj_loss: -0.5860 (-0.5860) time: 0.4649 data: 0.0003
[11-24 03:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:12:56 tlr: 0.00017 tnm: 0.32 Lm: 6.538 (6.538) Lt: 5.798 (5.798) Accm: 3.26 (3.26) Acct: 5.03 (5.03) proj_loss: -0.5815 (-0.5815) time: 0.4653 data: 0.0004
[11-24 03:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:12:56 tlr: 0.00017 tnm: 0.32 Lm: 6.762 (6.762) Lt: 6.095 (6.095) Accm: 2.64 (2.64) Acct: 4.24 (4.24) proj_loss: -0.5802 (-0.5802) time: 0.4654 data: 0.0003
[11-24 03:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.32 Lm: 6.654 (6.654) Lt: 5.933 (5.933) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: -0.5876 (-0.5876) time: 0.4808 data: 0.0003
[11-24 03:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.32 Lm: 6.590 (6.590) Lt: 5.822 (5.822) Accm: 3.25 (3.25) Acct: 5.12 (5.12) proj_loss: -0.5654 (-0.5654) time: 0.4808 data: 0.0003
[11-24 03:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.32 Lm: 6.535 (6.535) Lt: 5.785 (5.785) Accm: 3.25 (3.25) Acct: 4.98 (4.98) proj_loss: -0.5650 (-0.5650) time: 0.4808 data: 0.0003
[11-24 03:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:10:07 tlr: 0.00017 tnm: 0.32 Lm: 6.723 (6.723) Lt: 5.985 (5.985) Accm: 2.91 (2.91) Acct: 4.51 (4.51) proj_loss: -0.5788 (-0.5788) time: 0.4808 data: 0.0003
[11-24 03:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.33 Lm: 6.678 (6.708) Lt: 5.946 (5.972) Accm: 2.88 (2.90) Acct: 4.60 (4.54) proj_loss: -0.5716 (-0.5762) time: 0.4844 data: 0.0003
[11-24 03:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.33 Lm: 6.696 (6.643) Lt: 5.980 (5.928) Accm: 2.72 (2.98) Acct: 4.15 (4.58) proj_loss: -0.5669 (-0.5680) time: 0.4844 data: 0.0003
[11-24 03:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.33 Lm: 6.642 (6.667) Lt: 5.846 (5.922) Accm: 3.25 (3.05) Acct: 5.03 (4.83) proj_loss: -0.5815 (-0.5708) time: 0.4844 data: 0.0003
[11-24 03:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:06:45 tlr: 0.00017 tnm: 0.33 Lm: 6.677 (6.662) Lt: 5.906 (5.924) Accm: 3.17 (3.08) Acct: 5.06 (4.88) proj_loss: -0.5802 (-0.5790) time: 0.4844 data: 0.0003
[11-24 03:58:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.33 Lm: 6.719 (6.712) Lt: 6.001 (5.974) Accm: 2.91 (2.92) Acct: 4.65 (4.64) proj_loss: -0.5710 (-0.5728) time: 0.4903 data: 0.0003
[11-24 03:58:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.33 Lm: 6.732 (6.718) Lt: 5.984 (5.998) Accm: 2.95 (2.90) Acct: 4.64 (4.50) proj_loss: -0.5793 (-0.5724) time: 0.4903 data: 0.0002
[11-24 03:58:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.33 Lm: 6.732 (6.734) Lt: 5.995 (6.018) Accm: 2.79 (2.79) Acct: 4.34 (4.37) proj_loss: -0.5754 (-0.5770) time: 0.4903 data: 0.0002
[11-24 03:58:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.33 Lm: 6.720 (6.669) Lt: 6.013 (5.957) Accm: 2.78 (2.95) Acct: 4.25 (4.52) proj_loss: -0.5663 (-0.5674) time: 0.4903 data: 0.0003
[11-24 04:01:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.696 (6.670) Lt: 5.980 (5.957) Accm: 2.84 (2.93) Acct: 4.36 (4.54) proj_loss: -0.5669 (-0.5704) time: 0.4850 data: 0.0015
[11-24 04:01:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:13:30 (0.486 s / it)
[11-24 04:01:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.678 (6.692) Lt: 5.946 (5.971) Accm: 2.88 (2.91) Acct: 4.60 (4.57) proj_loss: -0.5753 (-0.5766) time: 0.4850 data: 0.0016
[11-24 04:01:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.682 (6.711) Lt: 5.925 (5.984) Accm: 2.87 (2.90) Acct: 4.44 (4.49) proj_loss: -0.5771 (-0.5673) time: 0.4851 data: 0.0019
[11-24 04:01:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.724 (6.714) Lt: 6.013 (5.982) Accm: 2.79 (2.90) Acct: 4.32 (4.58) proj_loss: -0.5701 (-0.5723) time: 0.4851 data: 0.0015
[11-24 04:01:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:13:30 (0.486 s / it)
[11-24 04:01:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:13:30 (0.486 s / it)
[11-24 04:01:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:13:30 (0.486 s / it)
[11-24 04:01:28] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.678 (6.700), Lt: 5.952 (5.976), Acc m&t: 2.91 4.61, Remain: 2 days, 3:35:58, Finish: 2024-11-25 15:37
[11-24 04:01:28] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.678 (6.700), Lt: 5.952 (5.976), Acc m&t: 2.91 4.61, Remain: 2 days, 3:36:17, Finish: 2024-11-25 15:37
[11-24 04:01:28] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.678 (6.700), Lt: 5.952 (5.976), Acc m&t: 2.91 4.61, Remain: 2 days, 3:33:14, Finish: 2024-11-25 15:34
[11-24 04:01:28] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.678 (6.700), Lt: 5.952 (5.976), Acc m&t: 2.91 4.61, Remain: 2 days, 3:37:21, Finish: 2024-11-25 15:38
[11-24 04:01:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:13:14 tlr: 0.00017 tnm: 0.33 Lm: 6.587 (6.587) Lt: 5.874 (5.874) Accm: 3.54 (3.54) Acct: 5.39 (5.39) proj_loss: -0.5878 (-0.5878) time: 0.4760 data: 0.0003
[11-24 04:01:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:13:06 tlr: 0.00017 tnm: 0.33 Lm: 6.874 (6.874) Lt: 6.162 (6.162) Accm: 2.46 (2.46) Acct: 3.81 (3.81) proj_loss: -0.5974 (-0.5974) time: 0.4715 data: 0.0003
[11-24 04:01:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:13:09 tlr: 0.00017 tnm: 0.33 Lm: 6.725 (6.725) Lt: 6.026 (6.026) Accm: 2.69 (2.69) Acct: 4.05 (4.05) proj_loss: -0.5928 (-0.5928) time: 0.4729 data: 0.0003
[11-24 04:01:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:13:09 tlr: 0.00017 tnm: 0.33 Lm: 6.595 (6.595) Lt: 5.915 (5.915) Accm: 3.29 (3.29) Acct: 4.87 (4.87) proj_loss: -0.5942 (-0.5942) time: 0.4728 data: 0.0003
[11-24 04:05:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:10:47 tlr: 0.00017 tnm: 0.32 Lm: 6.690 (6.690) Lt: 5.978 (5.978) Accm: 3.14 (3.14) Acct: 4.82 (4.82) proj_loss: -0.5772 (-0.5772) time: 0.5374 data: 0.0003
[11-24 04:05:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:10:47 tlr: 0.00017 tnm: 0.32 Lm: 6.623 (6.623) Lt: 5.911 (5.911) Accm: 3.27 (3.27) Acct: 5.12 (5.12) proj_loss: -0.5866 (-0.5866) time: 0.5374 data: 0.0003
[11-24 04:05:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:10:47 tlr: 0.00017 tnm: 0.32 Lm: 6.753 (6.753) Lt: 6.050 (6.050) Accm: 2.67 (2.67) Acct: 4.12 (4.12) proj_loss: -0.5888 (-0.5888) time: 0.5374 data: 0.0003
[11-24 04:05:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:10:47 tlr: 0.00017 tnm: 0.32 Lm: 6.783 (6.783) Lt: 6.057 (6.057) Accm: 2.62 (2.62) Acct: 3.99 (3.99) proj_loss: -0.5910 (-0.5910) time: 0.5374 data: 0.0003
[11-24 04:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:07:02 tlr: 0.00017 tnm: 0.34 Lm: 6.809 (6.792) Lt: 6.162 (6.094) Accm: 2.52 (2.58) Acct: 3.98 (3.98) proj_loss: -0.5846 (-0.5850) time: 0.4897 data: 0.0003
[11-24 04:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:07:02 tlr: 0.00017 tnm: 0.34 Lm: 6.725 (6.712) Lt: 6.026 (6.000) Accm: 2.69 (2.83) Acct: 4.20 (4.44) proj_loss: -0.5848 (-0.5799) time: 0.4897 data: 0.0003
[11-24 04:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:07:02 tlr: 0.00017 tnm: 0.34 Lm: 6.648 (6.676) Lt: 5.915 (5.952) Accm: 2.99 (3.05) Acct: 4.77 (4.73) proj_loss: -0.5741 (-0.5762) time: 0.4897 data: 0.0003
[11-24 04:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:07:02 tlr: 0.00017 tnm: 0.34 Lm: 6.659 (6.684) Lt: 5.948 (5.976) Accm: 2.99 (3.01) Acct: 4.86 (4.74) proj_loss: -0.5854 (-0.5832) time: 0.4897 data: 0.0003
[11-24 04:11:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:03:28 tlr: 0.00017 tnm: 0.34 Lm: 6.682 (6.690) Lt: 5.944 (5.967) Accm: 2.91 (2.96) Acct: 4.67 (4.68) proj_loss: -0.5810 (-0.5797) time: 0.4830 data: 0.0002
[11-24 04:11:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:03:28 tlr: 0.00017 tnm: 0.34 Lm: 6.721 (6.713) Lt: 6.039 (6.013) Accm: 2.78 (2.84) Acct: 4.22 (4.39) proj_loss: -0.5888 (-0.5855) time: 0.4830 data: 0.0002
[11-24 04:11:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:03:28 tlr: 0.00017 tnm: 0.34 Lm: 6.751 (6.764) Lt: 6.076 (6.068) Accm: 2.64 (2.69) Acct: 4.07 (4.20) proj_loss: -0.5788 (-0.5808) time: 0.4830 data: 0.0002
[11-24 04:11:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:03:28 tlr: 0.00017 tnm: 0.34 Lm: 6.632 (6.661) Lt: 5.907 (5.929) Accm: 3.10 (3.09) Acct: 4.82 (4.85) proj_loss: -0.5816 (-0.5794) time: 0.4830 data: 0.0003
[11-24 04:15:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.648 (6.671) Lt: 5.915 (5.943) Accm: 2.99 (3.05) Acct: 4.77 (4.75) proj_loss: -0.5783 (-0.5792) time: 0.4891 data: 0.0019
[11-24 04:15:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:13:48 (0.497 s / it)
[11-24 04:15:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.717 (6.713) Lt: 6.026 (5.995) Accm: 2.87 (2.88) Acct: 4.24 (4.53) proj_loss: -0.5878 (-0.5860) time: 0.4891 data: 0.0019
[11-24 04:15:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.692 (6.745) Lt: 5.991 (6.036) Accm: 2.77 (2.74) Acct: 4.17 (4.34) proj_loss: -0.5729 (-0.5774) time: 0.4891 data: 0.0015
[11-24 04:15:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.32 Lm: 6.705 (6.693) Lt: 5.948 (5.969) Accm: 2.82 (2.93) Acct: 4.68 (4.68) proj_loss: -0.5766 (-0.5750) time: 0.4891 data: 0.0015
[11-24 04:15:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:13:48 (0.497 s / it)
[11-24 04:15:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:13:48 (0.497 s / it)
[11-24 04:15:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:13:48 (0.497 s / it)
[11-24 04:15:17] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.678 (6.690), Lt: 5.952 (5.963), Acc m&t: 2.91 4.61, Remain: 2 days, 3:36:45, Finish: 2024-11-25 15:52
[11-24 04:15:17] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.678 (6.690), Lt: 5.952 (5.963), Acc m&t: 2.91 4.61, Remain: 2 days, 3:38:20, Finish: 2024-11-25 15:53
[11-24 04:15:17] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.678 (6.690), Lt: 5.952 (5.963), Acc m&t: 2.91 4.61, Remain: 2 days, 3:38:07, Finish: 2024-11-25 15:53
[11-24 04:15:17] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.678 (6.690), Lt: 5.952 (5.963), Acc m&t: 2.91 4.61, Remain: 2 days, 3:36:12, Finish: 2024-11-25 15:51
[11-24 04:15:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:13:03 tlr: 0.00017 tnm: 0.32 Lm: 6.797 (6.797) Lt: 6.042 (6.042) Accm: 2.48 (2.48) Acct: 4.12 (4.12) proj_loss: -0.5648 (-0.5648) time: 0.4696 data: 0.0003
[11-24 04:15:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:13:04 tlr: 0.00017 tnm: 0.32 Lm: 6.787 (6.787) Lt: 6.107 (6.107) Accm: 2.51 (2.51) Acct: 3.41 (3.41) proj_loss: -0.5819 (-0.5819) time: 0.4700 data: 0.0004
[11-24 04:15:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:13:04 tlr: 0.00017 tnm: 0.32 Lm: 6.585 (6.585) Lt: 5.811 (5.811) Accm: 3.10 (3.10) Acct: 5.04 (5.04) proj_loss: -0.5936 (-0.5936) time: 0.4702 data: 0.0003
[11-24 04:15:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:13:06 tlr: 0.00017 tnm: 0.32 Lm: 6.814 (6.814) Lt: 6.065 (6.065) Accm: 2.51 (2.51) Acct: 4.12 (4.12) proj_loss: -0.5622 (-0.5622) time: 0.4710 data: 0.0003
[11-24 04:18:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.32 Lm: 6.681 (6.681) Lt: 5.943 (5.943) Accm: 2.97 (2.97) Acct: 4.79 (4.79) proj_loss: -0.5662 (-0.5662) time: 0.4828 data: 0.0003
[11-24 04:18:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.32 Lm: 6.615 (6.615) Lt: 5.844 (5.844) Accm: 3.11 (3.11) Acct: 4.99 (4.99) proj_loss: -0.5885 (-0.5885) time: 0.4828 data: 0.0002
[11-24 04:18:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.32 Lm: 6.809 (6.809) Lt: 6.090 (6.090) Accm: 2.52 (2.52) Acct: 4.07 (4.07) proj_loss: -0.5741 (-0.5741) time: 0.4828 data: 0.0003
[11-24 04:18:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:10:11 tlr: 0.00017 tnm: 0.32 Lm: 6.814 (6.814) Lt: 6.153 (6.153) Accm: 2.48 (2.48) Acct: 3.46 (3.46) proj_loss: -0.5758 (-0.5758) time: 0.4828 data: 0.0003
[11-24 04:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:06:48 tlr: 0.00017 tnm: 0.34 Lm: 6.787 (6.781) Lt: 6.107 (6.103) Accm: 2.51 (2.55) Acct: 3.51 (3.70) proj_loss: -0.5819 (-0.5793) time: 0.5316 data: 0.0003
[11-24 04:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:06:48 tlr: 0.00017 tnm: 0.34 Lm: 6.635 (6.622) Lt: 5.877 (5.869) Accm: 3.13 (3.16) Acct: 4.94 (4.95) proj_loss: -0.5833 (-0.5768) time: 0.5315 data: 0.0002
[11-24 04:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:06:48 tlr: 0.00017 tnm: 0.34 Lm: 6.707 (6.690) Lt: 5.978 (5.954) Accm: 2.88 (2.94) Acct: 4.79 (4.79) proj_loss: -0.5701 (-0.5696) time: 0.5316 data: 0.0003
[11-24 04:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:06:48 tlr: 0.00017 tnm: 0.34 Lm: 6.797 (6.672) Lt: 6.042 (5.941) Accm: 2.57 (2.90) Acct: 4.12 (4.63) proj_loss: -0.5833 (-0.5787) time: 0.5315 data: 0.0003
[11-24 04:25:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:03:26 tlr: 0.00017 tnm: 0.34 Lm: 6.809 (6.711) Lt: 6.090 (5.991) Accm: 2.52 (2.78) Acct: 4.07 (4.42) proj_loss: -0.5793 (-0.5778) time: 0.5397 data: 0.0002
[11-24 04:25:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:03:26 tlr: 0.00017 tnm: 0.34 Lm: 6.752 (6.748) Lt: 6.056 (6.059) Accm: 2.59 (2.70) Acct: 3.84 (4.03) proj_loss: -0.5790 (-0.5785) time: 0.5397 data: 0.0003
[11-24 04:25:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:03:26 tlr: 0.00017 tnm: 0.34 Lm: 6.761 (6.726) Lt: 6.021 (6.003) Accm: 2.70 (2.80) Acct: 4.45 (4.57) proj_loss: -0.5725 (-0.5709) time: 0.5397 data: 0.0003
[11-24 04:25:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:03:26 tlr: 0.00017 tnm: 0.34 Lm: 6.640 (6.682) Lt: 5.898 (5.952) Accm: 3.11 (3.01) Acct: 4.91 (4.73) proj_loss: -0.5796 (-0.5766) time: 0.5397 data: 0.0003
[11-24 04:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.31 Lm: 6.645 (6.688) Lt: 5.919 (5.970) Accm: 3.10 (2.98) Acct: 4.87 (4.67) proj_loss: -0.5832 (-0.5779) time: 0.4885 data: 0.0015
[11-24 04:29:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:13:55 (0.501 s / it)
[11-24 04:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.31 Lm: 6.797 (6.692) Lt: 6.042 (5.973) Accm: 2.57 (2.91) Acct: 4.12 (4.60) proj_loss: -0.5790 (-0.5781) time: 0.4884 data: 0.0016
[11-24 04:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.31 Lm: 6.707 (6.715) Lt: 5.978 (5.983) Accm: 2.88 (2.84) Acct: 4.65 (4.59) proj_loss: -0.5701 (-0.5685) time: 0.4884 data: 0.0016
[11-24 04:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.31 Lm: 6.717 (6.734) Lt: 6.004 (6.036) Accm: 2.67 (2.73) Acct: 4.17 (4.11) proj_loss: -0.5819 (-0.5817) time: 0.4885 data: 0.0017
[11-24 04:29:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:13:55 (0.501 s / it)
[11-24 04:29:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:13:55 (0.501 s / it)
[11-24 04:29:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:13:55 (0.501 s / it)
[11-24 04:29:13] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.678 (6.704), Lt: 5.952 (5.982), Acc m&t: 2.91 4.61, Remain: 2 days, 3:24:11, Finish: 2024-11-25 15:53
[11-24 04:29:13] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.678 (6.704), Lt: 5.952 (5.982), Acc m&t: 2.91 4.61, Remain: 2 days, 3:24:11, Finish: 2024-11-25 15:53
[11-24 04:29:13] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.678 (6.704), Lt: 5.952 (5.982), Acc m&t: 2.91 4.61, Remain: 2 days, 3:24:33, Finish: 2024-11-25 15:53
[11-24 04:29:13] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.678 (6.704), Lt: 5.952 (5.982), Acc m&t: 2.91 4.61, Remain: 2 days, 3:23:55, Finish: 2024-11-25 15:53
[11-24 04:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:13:37 tlr: 0.00017 tnm: 0.35 Lm: 6.742 (6.742) Lt: 6.098 (6.098) Accm: 2.64 (2.64) Acct: 4.01 (4.01) proj_loss: -0.5906 (-0.5906) time: 0.4896 data: 0.0003
[11-24 04:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:13:37 tlr: 0.00017 tnm: 0.35 Lm: 6.512 (6.512) Lt: 5.742 (5.742) Accm: 3.11 (3.11) Acct: 5.03 (5.03) proj_loss: -0.5700 (-0.5700) time: 0.4900 data: 0.0003
[11-24 04:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:13:37 tlr: 0.00017 tnm: 0.35 Lm: 6.682 (6.682) Lt: 5.940 (5.940) Accm: 3.15 (3.15) Acct: 4.96 (4.96) proj_loss: -0.5738 (-0.5738) time: 0.4899 data: 0.0003
[11-24 04:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:13:38 tlr: 0.00017 tnm: 0.35 Lm: 6.716 (6.716) Lt: 6.002 (6.002) Accm: 3.02 (3.02) Acct: 4.99 (4.99) proj_loss: -0.5762 (-0.5762) time: 0.4902 data: 0.0003
[11-24 04:32:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.33 Lm: 6.673 (6.673) Lt: 5.949 (5.949) Accm: 2.99 (2.99) Acct: 4.89 (4.89) proj_loss: -0.5674 (-0.5674) time: 0.4893 data: 0.0003
[11-24 04:32:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.33 Lm: 6.651 (6.651) Lt: 5.912 (5.912) Accm: 2.91 (2.91) Acct: 4.80 (4.80) proj_loss: -0.5775 (-0.5775) time: 0.4893 data: 0.0002
[11-24 04:32:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.33 Lm: 6.761 (6.761) Lt: 6.029 (6.029) Accm: 2.79 (2.79) Acct: 4.39 (4.39) proj_loss: -0.5697 (-0.5697) time: 0.4893 data: 0.0003
[11-24 04:32:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:10:10 tlr: 0.00017 tnm: 0.33 Lm: 6.670 (6.670) Lt: 5.952 (5.952) Accm: 2.76 (2.76) Acct: 4.26 (4.26) proj_loss: -0.5817 (-0.5817) time: 0.4893 data: 0.0003
[11-24 04:36:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:06:47 tlr: 0.00017 tnm: 0.33 Lm: 6.598 (6.643) Lt: 5.840 (5.915) Accm: 2.88 (2.86) Acct: 4.51 (4.45) proj_loss: -0.5906 (-0.5893) time: 0.4874 data: 0.0002
[11-24 04:36:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:06:47 tlr: 0.00017 tnm: 0.33 Lm: 6.750 (6.684) Lt: 6.021 (5.948) Accm: 2.84 (2.89) Acct: 4.63 (4.75) proj_loss: -0.5788 (-0.5779) time: 0.4874 data: 0.0002
[11-24 04:36:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:06:47 tlr: 0.00017 tnm: 0.33 Lm: 6.716 (6.688) Lt: 6.002 (5.969) Accm: 2.96 (2.87) Acct: 4.79 (4.69) proj_loss: -0.5686 (-0.5678) time: 0.4874 data: 0.0003
[11-24 04:36:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:06:47 tlr: 0.00017 tnm: 0.33 Lm: 6.710 (6.744) Lt: 5.965 (6.008) Accm: 2.75 (2.78) Acct: 4.44 (4.41) proj_loss: -0.5738 (-0.5767) time: 0.4874 data: 0.0003
[11-24 04:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.34 Lm: 6.762 (6.762) Lt: 6.004 (6.016) Accm: 2.63 (2.71) Acct: 4.31 (4.35) proj_loss: -0.5793 (-0.5787) time: 0.4869 data: 0.0003
[11-24 04:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.34 Lm: 6.659 (6.655) Lt: 5.920 (5.916) Accm: 2.98 (2.98) Acct: 4.83 (4.89) proj_loss: -0.5766 (-0.5770) time: 0.4869 data: 0.0002
[11-24 04:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.34 Lm: 6.642 (6.654) Lt: 5.914 (5.933) Accm: 2.93 (2.89) Acct: 4.65 (4.54) proj_loss: -0.5883 (-0.5885) time: 0.4869 data: 0.0003
[11-24 04:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:03:23 tlr: 0.00017 tnm: 0.34 Lm: 6.698 (6.686) Lt: 5.960 (5.956) Accm: 2.95 (2.89) Acct: 4.80 (4.72) proj_loss: -0.5724 (-0.5731) time: 0.4869 data: 0.0003
[11-24 04:42:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.680 (6.659) Lt: 5.917 (5.934) Accm: 2.96 (2.92) Acct: 4.80 (4.76) proj_loss: -0.5686 (-0.5714) time: 0.5489 data: 0.0018
[11-24 04:42:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:13:35 (0.489 s / it)
[11-24 04:42:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.648 (6.654) Lt: 5.950 (5.923) Accm: 3.11 (3.00) Acct: 4.82 (4.88) proj_loss: -0.5788 (-0.5819) time: 0.5489 data: 0.0016
[11-24 04:42:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.732 (6.756) Lt: 5.999 (6.013) Accm: 2.75 (2.73) Acct: 4.18 (4.32) proj_loss: -0.5738 (-0.5764) time: 0.5489 data: 0.0016
[11-24 04:42:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.33 Lm: 6.607 (6.645) Lt: 5.923 (5.931) Accm: 2.97 (2.93) Acct: 4.70 (4.57) proj_loss: -0.5879 (-0.5884) time: 0.5489 data: 0.0019
[11-24 04:42:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:13:35 (0.489 s / it)
[11-24 04:42:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:13:35 (0.489 s / it)
[11-24 04:42:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:13:35 (0.489 s / it)
[11-24 04:42:48] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.678 (6.690), Lt: 5.952 (5.961), Acc m&t: 2.91 4.61, Remain: 2 days, 3:20:24, Finish: 2024-11-25 16:03
[11-24 04:42:48] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.678 (6.690), Lt: 5.952 (5.961), Acc m&t: 2.91 4.61, Remain: 2 days, 3:21:37, Finish: 2024-11-25 16:04
[11-24 04:42:48] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.678 (6.690), Lt: 5.952 (5.961), Acc m&t: 2.91 4.61, Remain: 2 days, 3:20:07, Finish: 2024-11-25 16:02
[11-24 04:42:48] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.678 (6.690), Lt: 5.952 (5.961), Acc m&t: 2.91 4.61, Remain: 2 days, 3:19:28, Finish: 2024-11-25 16:02
[11-24 04:42:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:13:13 tlr: 0.00017 tnm: 0.36 Lm: 6.670 (6.670) Lt: 5.909 (5.909) Accm: 2.99 (2.99) Acct: 4.53 (4.53) proj_loss: -0.5613 (-0.5613) time: 0.4752 data: 0.0004
[11-24 04:42:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:13:13 tlr: 0.00017 tnm: 0.36 Lm: 6.647 (6.647) Lt: 6.019 (6.019) Accm: 3.30 (3.30) Acct: 5.04 (5.04) proj_loss: -0.6001 (-0.6001) time: 0.4754 data: 0.0003
[11-24 04:42:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:13:13 tlr: 0.00017 tnm: 0.36 Lm: 6.536 (6.536) Lt: 5.829 (5.829) Accm: 3.08 (3.08) Acct: 4.56 (4.56) proj_loss: -0.5929 (-0.5929) time: 0.4756 data: 0.0003
[11-24 04:42:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:13:19 tlr: 0.00017 tnm: 0.36 Lm: 6.708 (6.708) Lt: 5.973 (5.973) Accm: 2.88 (2.88) Acct: 4.73 (4.73) proj_loss: -0.5702 (-0.5702) time: 0.4790 data: 0.0004
[11-24 04:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:11:03 tlr: 0.00016 tnm: 0.33 Lm: 6.652 (6.652) Lt: 5.931 (5.931) Accm: 2.99 (2.99) Acct: 4.83 (4.83) proj_loss: -0.5748 (-0.5748) time: 0.4907 data: 0.0003
[11-24 04:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:11:03 tlr: 0.00016 tnm: 0.33 Lm: 6.599 (6.599) Lt: 5.892 (5.892) Accm: 2.95 (2.95) Acct: 4.35 (4.35) proj_loss: -0.5965 (-0.5965) time: 0.4907 data: 0.0003
[11-24 04:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:11:03 tlr: 0.00016 tnm: 0.33 Lm: 6.671 (6.671) Lt: 5.934 (5.934) Accm: 2.99 (2.99) Acct: 4.59 (4.59) proj_loss: -0.5675 (-0.5675) time: 0.4907 data: 0.0003
[11-24 04:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:11:03 tlr: 0.00016 tnm: 0.33 Lm: 6.708 (6.708) Lt: 6.030 (6.030) Accm: 3.05 (3.05) Acct: 4.80 (4.80) proj_loss: -0.5952 (-0.5952) time: 0.4907 data: 0.0003
[11-24 04:49:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:07:08 tlr: 0.00016 tnm: 0.35 Lm: 6.647 (6.680) Lt: 6.019 (5.976) Accm: 3.09 (3.06) Acct: 4.73 (4.78) proj_loss: -0.5903 (-0.5823) time: 0.4894 data: 0.0003
[11-24 04:49:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:07:08 tlr: 0.00016 tnm: 0.35 Lm: 6.671 (6.696) Lt: 5.960 (5.994) Accm: 2.99 (2.90) Acct: 4.53 (4.43) proj_loss: -0.5737 (-0.5708) time: 0.4894 data: 0.0002
[11-24 04:49:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:07:08 tlr: 0.00016 tnm: 0.35 Lm: 6.597 (6.629) Lt: 5.889 (5.906) Accm: 3.10 (3.09) Acct: 4.92 (4.86) proj_loss: -0.5795 (-0.5777) time: 0.4894 data: 0.0003
[11-24 04:49:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:07:08 tlr: 0.00016 tnm: 0.35 Lm: 6.550 (6.583) Lt: 5.829 (5.856) Accm: 3.08 (3.09) Acct: 4.56 (4.69) proj_loss: -0.5929 (-0.5872) time: 0.4894 data: 0.0003
[11-24 04:53:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:03:30 tlr: 0.00016 tnm: 0.35 Lm: 6.606 (6.629) Lt: 5.892 (5.902) Accm: 2.95 (2.98) Acct: 4.35 (4.55) proj_loss: -0.5847 (-0.5845) time: 0.4905 data: 0.0003
[11-24 04:53:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:03:30 tlr: 0.00016 tnm: 0.35 Lm: 6.709 (6.717) Lt: 6.016 (6.013) Accm: 2.86 (2.79) Acct: 4.32 (4.32) proj_loss: -0.5751 (-0.5722) time: 0.4905 data: 0.0002
[11-24 04:53:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:03:30 tlr: 0.00016 tnm: 0.35 Lm: 6.683 (6.690) Lt: 5.993 (5.974) Accm: 2.95 (2.98) Acct: 4.64 (4.68) proj_loss: -0.5933 (-0.5858) time: 0.4905 data: 0.0003
[11-24 04:53:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:03:30 tlr: 0.00016 tnm: 0.35 Lm: 6.591 (6.618) Lt: 5.874 (5.895) Accm: 3.02 (3.06) Acct: 4.89 (4.86) proj_loss: -0.5810 (-0.5789) time: 0.4905 data: 0.0003
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.597 (6.634) Lt: 5.889 (5.903) Accm: 2.94 (3.00) Acct: 4.86 (4.80) proj_loss: -0.5795 (-0.5775) time: 0.4883 data: 0.0019
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:13:54 (0.500 s / it)
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.663 (6.643) Lt: 5.940 (5.910) Accm: 2.83 (2.95) Acct: 4.56 (4.56) proj_loss: -0.5821 (-0.5840) time: 0.4883 data: 0.0016
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.671 (6.694) Lt: 5.960 (5.989) Accm: 2.99 (2.91) Acct: 4.53 (4.48) proj_loss: -0.5765 (-0.5767) time: 0.4883 data: 0.0015
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.715 (6.695) Lt: 5.967 (5.970) Accm: 2.80 (2.93) Acct: 4.55 (4.58) proj_loss: -0.5903 (-0.5791) time: 0.4883 data: 0.0016
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:13:54 (0.500 s / it)
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:13:54 (0.500 s / it)
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:13:54 (0.500 s / it)
[11-24 04:56:43] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.678 (6.691), Lt: 5.952 (5.959), Acc m&t: 2.91 4.61, Remain: 2 days, 2:49:26, Finish: 2024-11-25 15:46
[11-24 04:56:43] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.678 (6.691), Lt: 5.952 (5.959), Acc m&t: 2.91 4.61, Remain: 2 days, 2:49:16, Finish: 2024-11-25 15:45
[11-24 04:56:43] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.678 (6.691), Lt: 5.952 (5.959), Acc m&t: 2.91 4.61, Remain: 2 days, 2:48:31, Finish: 2024-11-25 15:45
[11-24 04:56:43] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.678 (6.691), Lt: 5.952 (5.959), Acc m&t: 2.91 4.61, Remain: 2 days, 2:49:15, Finish: 2024-11-25 15:45
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:12:50 tlr: 0.00016 tnm: 0.35 Lm: 6.543 (6.543) Lt: 5.836 (5.836) Accm: 3.09 (3.09) Acct: 4.96 (4.96) proj_loss: -0.5940 (-0.5940) time: 0.4616 data: 0.0003
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:12:51 tlr: 0.00016 tnm: 0.35 Lm: 6.756 (6.756) Lt: 5.996 (5.996) Accm: 2.91 (2.91) Acct: 4.84 (4.84) proj_loss: -0.5699 (-0.5699) time: 0.4623 data: 0.0003
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:12:51 tlr: 0.00016 tnm: 0.35 Lm: 6.711 (6.711) Lt: 5.983 (5.983) Accm: 2.89 (2.89) Acct: 4.79 (4.79) proj_loss: -0.5869 (-0.5869) time: 0.4623 data: 0.0004
[11-24 04:56:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:12:51 tlr: 0.00016 tnm: 0.35 Lm: 6.758 (6.758) Lt: 6.017 (6.017) Accm: 2.45 (2.45) Acct: 3.62 (3.62) proj_loss: -0.5426 (-0.5426) time: 0.4622 data: 0.0004
[11-24 05:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:10:12 tlr: 0.00016 tnm: 0.35 Lm: 6.764 (6.764) Lt: 6.020 (6.020) Accm: 2.52 (2.52) Acct: 3.92 (3.92) proj_loss: -0.5582 (-0.5582) time: 0.4894 data: 0.0003
[11-24 05:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:10:12 tlr: 0.00016 tnm: 0.35 Lm: 6.755 (6.755) Lt: 6.030 (6.030) Accm: 2.91 (2.91) Acct: 4.66 (4.66) proj_loss: -0.5797 (-0.5797) time: 0.4894 data: 0.0002
[11-24 05:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:10:12 tlr: 0.00016 tnm: 0.35 Lm: 6.745 (6.745) Lt: 6.029 (6.029) Accm: 2.82 (2.82) Acct: 4.57 (4.57) proj_loss: -0.5931 (-0.5931) time: 0.4893 data: 0.0003
[11-24 05:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:10:12 tlr: 0.00016 tnm: 0.35 Lm: 6.608 (6.608) Lt: 5.905 (5.905) Accm: 3.17 (3.17) Acct: 5.07 (5.07) proj_loss: -0.5893 (-0.5893) time: 0.4894 data: 0.0003
[11-24 05:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.673 (6.642) Lt: 5.974 (5.936) Accm: 3.09 (3.06) Acct: 4.96 (4.86) proj_loss: -0.5845 (-0.5861) time: 0.4852 data: 0.0002
[11-24 05:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.711 (6.732) Lt: 6.041 (6.033) Accm: 2.83 (2.83) Acct: 4.36 (4.47) proj_loss: -0.5901 (-0.5921) time: 0.4852 data: 0.0002
[11-24 05:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.758 (6.755) Lt: 6.017 (6.016) Accm: 2.59 (2.57) Acct: 4.22 (4.07) proj_loss: -0.5623 (-0.5596) time: 0.4852 data: 0.0003
[11-24 05:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.756 (6.769) Lt: 6.050 (6.037) Accm: 2.91 (2.76) Acct: 4.48 (4.34) proj_loss: -0.5820 (-0.5805) time: 0.4852 data: 0.0002
[11-24 05:07:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:03:32 tlr: 0.00016 tnm: 0.34 Lm: 6.772 (6.774) Lt: 6.057 (6.047) Accm: 2.78 (2.73) Acct: 4.41 (4.34) proj_loss: -0.5773 (-0.5785) time: 0.4845 data: 0.0002
[11-24 05:07:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:03:32 tlr: 0.00016 tnm: 0.34 Lm: 6.748 (6.696) Lt: 6.012 (5.948) Accm: 2.63 (2.77) Acct: 4.30 (4.22) proj_loss: -0.5681 (-0.5662) time: 0.4845 data: 0.0003
[11-24 05:07:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:03:32 tlr: 0.00016 tnm: 0.34 Lm: 6.709 (6.678) Lt: 6.012 (5.969) Accm: 2.86 (2.98) Acct: 4.57 (4.73) proj_loss: -0.5885 (-0.5838) time: 0.4845 data: 0.0003
[11-24 05:07:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:03:32 tlr: 0.00016 tnm: 0.34 Lm: 6.608 (6.607) Lt: 5.905 (5.887) Accm: 3.17 (3.14) Acct: 5.07 (5.01) proj_loss: -0.5842 (-0.5856) time: 0.4845 data: 0.0003
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.543 (6.586) Lt: 5.836 (5.861) Accm: 3.26 (3.21) Acct: 5.03 (5.01) proj_loss: -0.5845 (-0.5889) time: 0.4883 data: 0.0018
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:13:57 (0.502 s / it)
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.707 (6.683) Lt: 6.009 (5.977) Accm: 2.83 (2.95) Acct: 4.36 (4.63) proj_loss: -0.5869 (-0.5804) time: 0.4883 data: 0.0017
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.756 (6.748) Lt: 6.050 (6.019) Accm: 2.91 (2.79) Acct: 4.48 (4.37) proj_loss: -0.5725 (-0.5760) time: 0.4883 data: 0.0015
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.737 (6.693) Lt: 6.016 (5.962) Accm: 2.67 (2.77) Acct: 4.22 (4.13) proj_loss: -0.5738 (-0.5726) time: 0.4883 data: 0.0015
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:13:57 (0.502 s / it)
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:13:57 (0.502 s / it)
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:13:57 (0.502 s / it)
[11-24 05:10:41] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.678 (6.686), Lt: 5.952 (5.957), Acc m&t: 2.91 4.61, Remain: 2 days, 2:40:26, Finish: 2024-11-25 15:51
[11-24 05:10:41] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.678 (6.686), Lt: 5.952 (5.957), Acc m&t: 2.91 4.61, Remain: 2 days, 2:39:43, Finish: 2024-11-25 15:50
[11-24 05:10:41] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.678 (6.686), Lt: 5.952 (5.957), Acc m&t: 2.91 4.61, Remain: 2 days, 2:41:51, Finish: 2024-11-25 15:52
[11-24 05:10:41] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.678 (6.686), Lt: 5.952 (5.957), Acc m&t: 2.91 4.61, Remain: 2 days, 2:40:25, Finish: 2024-11-25 15:51
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:12:51 tlr: 0.00016 tnm: 0.33 Lm: 6.467 (6.467) Lt: 5.739 (5.739) Accm: 3.72 (3.72) Acct: 5.13 (5.13) proj_loss: -0.5771 (-0.5771) time: 0.4620 data: 0.0004
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:12:51 tlr: 0.00016 tnm: 0.33 Lm: 6.743 (6.743) Lt: 5.960 (5.960) Accm: 2.69 (2.69) Acct: 4.42 (4.42) proj_loss: -0.5807 (-0.5807) time: 0.4623 data: 0.0003
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:12:51 tlr: 0.00016 tnm: 0.33 Lm: 6.739 (6.739) Lt: 6.053 (6.053) Accm: 2.97 (2.97) Acct: 4.53 (4.53) proj_loss: -0.5733 (-0.5733) time: 0.4624 data: 0.0004
[11-24 05:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:12:51 tlr: 0.00016 tnm: 0.33 Lm: 6.756 (6.756) Lt: 6.045 (6.045) Accm: 2.91 (2.91) Acct: 4.39 (4.39) proj_loss: -0.5637 (-0.5637) time: 0.4623 data: 0.0004
[11-24 05:14:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:10:10 tlr: 0.00016 tnm: 0.33 Lm: 6.760 (6.760) Lt: 6.028 (6.028) Accm: 2.82 (2.82) Acct: 4.42 (4.42) proj_loss: -0.5680 (-0.5680) time: 0.4922 data: 0.0003
[11-24 05:14:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:10:10 tlr: 0.00016 tnm: 0.33 Lm: 6.727 (6.727) Lt: 6.014 (6.014) Accm: 2.84 (2.84) Acct: 4.41 (4.41) proj_loss: -0.5820 (-0.5820) time: 0.4922 data: 0.0003
[11-24 05:14:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:10:10 tlr: 0.00016 tnm: 0.33 Lm: 6.549 (6.549) Lt: 5.800 (5.800) Accm: 3.29 (3.29) Acct: 4.80 (4.80) proj_loss: -0.5788 (-0.5788) time: 0.4922 data: 0.0003
[11-24 05:14:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:10:10 tlr: 0.00016 tnm: 0.33 Lm: 6.721 (6.721) Lt: 5.977 (5.977) Accm: 2.70 (2.70) Acct: 4.18 (4.18) proj_loss: -0.5784 (-0.5784) time: 0.4922 data: 0.0002
[11-24 05:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.699 (6.700) Lt: 5.960 (5.969) Accm: 2.72 (2.72) Acct: 4.42 (4.28) proj_loss: -0.5760 (-0.5774) time: 0.4895 data: 0.0002
[11-24 05:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.583 (6.561) Lt: 5.859 (5.820) Accm: 2.87 (3.13) Acct: 4.55 (4.71) proj_loss: -0.5805 (-0.5846) time: 0.4895 data: 0.0002
[11-24 05:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.714 (6.701) Lt: 5.975 (5.989) Accm: 2.74 (2.81) Acct: 4.29 (4.33) proj_loss: -0.5733 (-0.5759) time: 0.4895 data: 0.0003
[11-24 05:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.756 (6.725) Lt: 6.011 (5.984) Accm: 2.83 (2.82) Acct: 4.44 (4.48) proj_loss: -0.5723 (-0.5701) time: 0.4895 data: 0.0003
[11-24 05:20:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.32 Lm: 6.706 (6.699) Lt: 5.954 (5.959) Accm: 2.87 (2.89) Acct: 4.52 (4.61) proj_loss: -0.5732 (-0.5751) time: 0.4856 data: 0.0003
[11-24 05:20:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.32 Lm: 6.686 (6.693) Lt: 5.961 (5.967) Accm: 2.74 (2.75) Acct: 4.31 (4.26) proj_loss: -0.5784 (-0.5782) time: 0.4856 data: 0.0002
[11-24 05:20:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.32 Lm: 6.608 (6.586) Lt: 5.860 (5.852) Accm: 3.00 (3.13) Acct: 4.72 (4.76) proj_loss: -0.5788 (-0.5804) time: 0.4856 data: 0.0003
[11-24 05:20:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.32 Lm: 6.722 (6.708) Lt: 5.975 (5.986) Accm: 2.74 (2.79) Acct: 4.24 (4.27) proj_loss: -0.5712 (-0.5742) time: 0.4856 data: 0.0003
[11-24 05:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.729 (6.714) Lt: 5.976 (5.985) Accm: 2.73 (2.75) Acct: 4.29 (4.32) proj_loss: -0.5691 (-0.5724) time: 0.4917 data: 0.0016
[11-24 05:24:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:13:49 (0.497 s / it)
[11-24 05:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.699 (6.701) Lt: 5.962 (5.979) Accm: 2.72 (2.73) Acct: 4.20 (4.22) proj_loss: -0.5807 (-0.5819) time: 0.4917 data: 0.0015
[11-24 05:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.656 (6.684) Lt: 5.897 (5.946) Accm: 2.91 (2.93) Acct: 4.60 (4.71) proj_loss: -0.5742 (-0.5770) time: 0.4917 data: 0.0016
[11-24 05:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.632 (6.617) Lt: 5.861 (5.873) Accm: 2.87 (3.04) Acct: 4.55 (4.63) proj_loss: -0.5771 (-0.5793) time: 0.4917 data: 0.0016
[11-24 05:24:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:13:49 (0.497 s / it)
[11-24 05:24:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:13:49 (0.497 s / it)
[11-24 05:24:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:13:49 (0.497 s / it)
[11-24 05:26:41] (home/user/VAR/trainer.py, line 114)=> FID: 4.153473067257835
[11-24 05:26:41] (/home/user/VAR/train.py , line 259)=> [*] [ep129] (val 50000) Lm: 6.6906, Lt: 5.9664, Acc m&t: 2.89 4.54, Val cost: 130.45s
[11-24 05:26:41] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 05:27:03] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.678 (6.691), Lt: 5.952 (5.966), Acc m&t: 2.91 4.61, Remain: 2 days, 2:37:08, Finish: 2024-11-25 16:01
[11-24 05:27:03] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.678 (6.691), Lt: 5.952 (5.966), Acc m&t: 2.91 4.61, Remain: 2 days, 2:36:26, Finish: 2024-11-25 16:00
[11-24 05:27:03] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.678 (6.691), Lt: 5.952 (5.966), Acc m&t: 2.91 4.61, Remain: 2 days, 2:37:04, Finish: 2024-11-25 16:01
[11-24 05:27:03] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.678 (6.691), Lt: 5.952 (5.966), Acc m&t: 2.91 4.61, Remain: 2 days, 2:37:06, Finish: 2024-11-25 16:01
[11-24 05:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:13:18 tlr: 0.00016 tnm: 0.32 Lm: 6.718 (6.718) Lt: 5.997 (5.997) Accm: 2.78 (2.78) Acct: 4.17 (4.17) proj_loss: -0.5941 (-0.5941) time: 0.4785 data: 0.0003
[11-24 05:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:13:27 tlr: 0.00016 tnm: 0.32 Lm: 6.610 (6.610) Lt: 5.875 (5.875) Accm: 3.26 (3.26) Acct: 5.13 (5.13) proj_loss: -0.5924 (-0.5924) time: 0.4840 data: 0.0003
[11-24 05:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:13:17 tlr: 0.00016 tnm: 0.32 Lm: 6.676 (6.676) Lt: 5.914 (5.914) Accm: 2.98 (2.98) Acct: 4.61 (4.61) proj_loss: -0.5802 (-0.5802) time: 0.4780 data: 0.0004
[11-24 05:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:13:18 tlr: 0.00016 tnm: 0.32 Lm: 6.762 (6.762) Lt: 6.106 (6.106) Accm: 2.75 (2.75) Acct: 4.13 (4.13) proj_loss: -0.6145 (-0.6145) time: 0.4782 data: 0.0004
[11-24 05:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:10:07 tlr: 0.00016 tnm: 0.35 Lm: 6.709 (6.709) Lt: 6.017 (6.017) Accm: 2.83 (2.83) Acct: 4.33 (4.33) proj_loss: -0.5931 (-0.5931) time: 0.4894 data: 0.0003
[11-24 05:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:10:07 tlr: 0.00016 tnm: 0.35 Lm: 6.642 (6.642) Lt: 5.910 (5.910) Accm: 2.99 (2.99) Acct: 4.67 (4.67) proj_loss: -0.5788 (-0.5788) time: 0.4894 data: 0.0002
[11-24 05:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:10:07 tlr: 0.00016 tnm: 0.35 Lm: 6.627 (6.627) Lt: 5.870 (5.870) Accm: 3.18 (3.18) Acct: 5.15 (5.15) proj_loss: -0.5774 (-0.5774) time: 0.4894 data: 0.0002
[11-24 05:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:10:07 tlr: 0.00016 tnm: 0.35 Lm: 6.672 (6.672) Lt: 5.957 (5.957) Accm: 3.08 (3.08) Acct: 4.86 (4.86) proj_loss: -0.5989 (-0.5989) time: 0.4894 data: 0.0003
[11-24 05:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:06:45 tlr: 0.00016 tnm: 0.32 Lm: 6.679 (6.675) Lt: 5.955 (5.956) Accm: 2.89 (3.01) Acct: 4.60 (4.74) proj_loss: -0.5924 (-0.5948) time: 0.4849 data: 0.0002
[11-24 05:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:06:45 tlr: 0.00016 tnm: 0.32 Lm: 6.661 (6.693) Lt: 5.927 (5.980) Accm: 2.92 (2.87) Acct: 4.53 (4.48) proj_loss: -0.5888 (-0.5917) time: 0.4849 data: 0.0003
[11-24 05:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:06:45 tlr: 0.00016 tnm: 0.32 Lm: 6.678 (6.654) Lt: 5.970 (5.930) Accm: 2.88 (2.95) Acct: 4.56 (4.64) proj_loss: -0.5809 (-0.5795) time: 0.4849 data: 0.0002
[11-24 05:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:06:45 tlr: 0.00016 tnm: 0.32 Lm: 6.646 (6.634) Lt: 5.900 (5.880) Accm: 2.98 (3.11) Acct: 4.87 (5.06) proj_loss: -0.5746 (-0.5763) time: 0.4849 data: 0.0002
[11-24 05:37:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:03:22 tlr: 0.00016 tnm: 0.35 Lm: 6.661 (6.675) Lt: 5.907 (5.938) Accm: 2.97 (3.00) Acct: 4.74 (4.80) proj_loss: -0.5743 (-0.5752) time: 0.4881 data: 0.0003
[11-24 05:37:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:03:22 tlr: 0.00016 tnm: 0.35 Lm: 6.682 (6.662) Lt: 5.975 (5.943) Accm: 2.99 (2.99) Acct: 4.62 (4.65) proj_loss: -0.5863 (-0.5825) time: 0.4881 data: 0.0002
[11-24 05:37:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:03:22 tlr: 0.00016 tnm: 0.35 Lm: 6.659 (6.679) Lt: 5.917 (5.956) Accm: 2.94 (2.98) Acct: 4.66 (4.66) proj_loss: -0.5958 (-0.5945) time: 0.4881 data: 0.0003
[11-24 05:37:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:03:22 tlr: 0.00016 tnm: 0.35 Lm: 6.707 (6.699) Lt: 5.979 (5.968) Accm: 2.88 (2.98) Acct: 4.61 (4.71) proj_loss: -0.5894 (-0.5921) time: 0.4881 data: 0.0003
[11-24 05:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.679 (6.667) Lt: 5.955 (5.931) Accm: 2.89 (3.07) Acct: 4.61 (4.85) proj_loss: -0.5864 (-0.5877) time: 0.4866 data: 0.0015
[11-24 05:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.676 (6.721) Lt: 5.914 (5.994) Accm: 2.96 (2.87) Acct: 4.61 (4.61) proj_loss: -0.5740 (-0.5739) time: 0.4866 data: 0.0019
[11-24 05:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.659 (6.675) Lt: 5.927 (5.954) Accm: 2.92 (2.94) Acct: 4.53 (4.61) proj_loss: -0.5888 (-0.5920) time: 0.4866 data: 0.0015
[11-24 05:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.678 (6.643) Lt: 5.970 (5.918) Accm: 3.10 (3.02) Acct: 4.68 (4.76) proj_loss: -0.5809 (-0.5808) time: 0.4866 data: 0.0017
[11-24 05:40:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:13:30 (0.486 s / it)
[11-24 05:40:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:13:30 (0.486 s / it)
[11-24 05:40:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:13:30 (0.486 s / it)
[11-24 05:40:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:13:30 (0.486 s / it)
[11-24 05:40:33] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.678 (6.680), Lt: 5.952 (5.952), Acc m&t: 2.91 4.61, Remain: 2 days, 2:02:08, Finish: 2024-11-25 15:42
[11-24 05:40:33] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.678 (6.680), Lt: 5.952 (5.952), Acc m&t: 2.91 4.61, Remain: 2 days, 2:02:56, Finish: 2024-11-25 15:43
[11-24 05:40:33] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.678 (6.680), Lt: 5.952 (5.952), Acc m&t: 2.91 4.61, Remain: 2 days, 2:02:33, Finish: 2024-11-25 15:43
[11-24 05:40:33] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.678 (6.680), Lt: 5.952 (5.952), Acc m&t: 2.91 4.61, Remain: 2 days, 2:04:02, Finish: 2024-11-25 15:44
[11-24 05:40:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:12:49 tlr: 0.00016 tnm: 0.34 Lm: 6.647 (6.647) Lt: 5.956 (5.956) Accm: 2.80 (2.80) Acct: 4.34 (4.34) proj_loss: -0.5675 (-0.5675) time: 0.4610 data: 0.0003
[11-24 05:40:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:12:49 tlr: 0.00016 tnm: 0.34 Lm: 6.746 (6.746) Lt: 6.067 (6.067) Accm: 2.69 (2.69) Acct: 4.22 (4.22) proj_loss: -0.5746 (-0.5746) time: 0.4610 data: 0.0003
[11-24 05:40:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:12:50 tlr: 0.00016 tnm: 0.34 Lm: 6.567 (6.567) Lt: 5.820 (5.820) Accm: 3.26 (3.26) Acct: 5.08 (5.08) proj_loss: -0.5619 (-0.5619) time: 0.4615 data: 0.0004
[11-24 05:40:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:12:50 tlr: 0.00016 tnm: 0.34 Lm: 6.745 (6.745) Lt: 6.021 (6.021) Accm: 2.61 (2.61) Acct: 4.18 (4.18) proj_loss: -0.5923 (-0.5923) time: 0.4614 data: 0.0004
[11-24 05:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:10:15 tlr: 0.00016 tnm: 0.33 Lm: 6.749 (6.749) Lt: 6.042 (6.042) Accm: 2.64 (2.64) Acct: 4.02 (4.02) proj_loss: -0.5863 (-0.5863) time: 0.5477 data: 0.0003
[11-24 05:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:10:15 tlr: 0.00016 tnm: 0.33 Lm: 6.613 (6.613) Lt: 5.889 (5.889) Accm: 3.05 (3.05) Acct: 4.75 (4.75) proj_loss: -0.5631 (-0.5631) time: 0.5477 data: 0.0003
[11-24 05:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:10:15 tlr: 0.00016 tnm: 0.33 Lm: 6.771 (6.771) Lt: 6.082 (6.082) Accm: 2.66 (2.66) Acct: 4.20 (4.20) proj_loss: -0.5780 (-0.5780) time: 0.5477 data: 0.0002
[11-24 05:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:10:15 tlr: 0.00016 tnm: 0.33 Lm: 6.644 (6.644) Lt: 5.930 (5.930) Accm: 3.01 (3.01) Acct: 4.63 (4.63) proj_loss: -0.5792 (-0.5792) time: 0.5477 data: 0.0003
[11-24 05:47:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.722 (6.676) Lt: 6.040 (5.968) Accm: 2.82 (2.95) Acct: 4.48 (4.58) proj_loss: -0.5619 (-0.5730) time: 0.4862 data: 0.0003
[11-24 05:47:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.647 (6.629) Lt: 5.956 (5.916) Accm: 2.80 (2.91) Acct: 4.34 (4.52) proj_loss: -0.5675 (-0.5798) time: 0.4862 data: 0.0003
[11-24 05:47:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.746 (6.719) Lt: 6.067 (6.019) Accm: 2.69 (2.93) Acct: 4.22 (4.60) proj_loss: -0.5746 (-0.5760) time: 0.4862 data: 0.0002
[11-24 05:47:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.745 (6.746) Lt: 6.027 (6.037) Accm: 2.61 (2.62) Acct: 4.06 (4.03) proj_loss: -0.5802 (-0.5781) time: 0.4862 data: 0.0003
[11-24 05:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:03:25 tlr: 0.00016 tnm: 0.31 Lm: 6.743 (6.712) Lt: 6.024 (5.983) Accm: 2.64 (2.71) Acct: 4.12 (4.21) proj_loss: -0.5863 (-0.5846) time: 0.4845 data: 0.0003
[11-24 05:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:03:25 tlr: 0.00016 tnm: 0.31 Lm: 6.716 (6.710) Lt: 6.011 (6.003) Accm: 2.77 (2.91) Acct: 4.34 (4.56) proj_loss: -0.5780 (-0.5805) time: 0.4845 data: 0.0002
[11-24 05:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:03:25 tlr: 0.00016 tnm: 0.31 Lm: 6.731 (6.731) Lt: 6.041 (6.030) Accm: 2.79 (2.78) Acct: 4.33 (4.36) proj_loss: -0.5612 (-0.5686) time: 0.4845 data: 0.0003
[11-24 05:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:03:25 tlr: 0.00016 tnm: 0.31 Lm: 6.653 (6.682) Lt: 5.962 (5.998) Accm: 2.71 (2.76) Acct: 4.19 (4.27) proj_loss: -0.5751 (-0.5806) time: 0.4845 data: 0.0003
[11-24 05:54:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.656 (6.677) Lt: 5.961 (5.990) Accm: 2.80 (2.79) Acct: 4.34 (4.35) proj_loss: -0.5827 (-0.5833) time: 0.4893 data: 0.0014
[11-24 05:54:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:13:37 (0.490 s / it)
[11-24 05:54:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.744 (6.719) Lt: 6.021 (5.983) Accm: 2.61 (2.68) Acct: 4.18 (4.21) proj_loss: -0.5802 (-0.5800) time: 0.4893 data: 0.0015
[11-24 05:54:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.685 (6.688) Lt: 5.955 (5.975) Accm: 2.85 (2.96) Acct: 4.46 (4.66) proj_loss: -0.5746 (-0.5765) time: 0.4893 data: 0.0016
[11-24 05:54:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.722 (6.720) Lt: 6.040 (6.010) Accm: 2.76 (2.75) Acct: 4.18 (4.31) proj_loss: -0.5619 (-0.5727) time: 0.4893 data: 0.0015
[11-24 05:54:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:13:37 (0.490 s / it)
[11-24 05:54:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:13:37 (0.490 s / it)
[11-24 05:54:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:13:37 (0.490 s / it)
[11-24 05:54:11] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.678 (6.702), Lt: 5.952 (5.978), Acc m&t: 2.91 4.61, Remain: 2 days, 2:01:48, Finish: 2024-11-25 15:55
[11-24 05:54:11] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.678 (6.702), Lt: 5.952 (5.978), Acc m&t: 2.91 4.61, Remain: 2 days, 2:01:27, Finish: 2024-11-25 15:55
[11-24 05:54:11] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.678 (6.702), Lt: 5.952 (5.978), Acc m&t: 2.91 4.61, Remain: 2 days, 1:59:21, Finish: 2024-11-25 15:53
[11-24 05:54:11] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.678 (6.702), Lt: 5.952 (5.978), Acc m&t: 2.91 4.61, Remain: 2 days, 2:01:35, Finish: 2024-11-25 15:55
[11-24 05:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:12:49 tlr: 0.00016 tnm: 0.33 Lm: 6.569 (6.569) Lt: 5.759 (5.759) Accm: 3.31 (3.31) Acct: 5.39 (5.39) proj_loss: -0.5774 (-0.5774) time: 0.4613 data: 0.0004
[11-24 05:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:12:50 tlr: 0.00016 tnm: 0.33 Lm: 6.760 (6.760) Lt: 6.010 (6.010) Accm: 2.53 (2.53) Acct: 4.01 (4.01) proj_loss: -0.5562 (-0.5562) time: 0.4617 data: 0.0004
[11-24 05:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:12:50 tlr: 0.00016 tnm: 0.33 Lm: 6.721 (6.721) Lt: 5.997 (5.997) Accm: 3.07 (3.07) Acct: 4.44 (4.44) proj_loss: -0.5895 (-0.5895) time: 0.4619 data: 0.0004
[11-24 05:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:12:51 tlr: 0.00016 tnm: 0.33 Lm: 6.641 (6.641) Lt: 5.886 (5.886) Accm: 2.88 (2.88) Acct: 4.49 (4.49) proj_loss: -0.5688 (-0.5688) time: 0.4623 data: 0.0003
[11-24 05:57:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:10:08 tlr: 0.00016 tnm: 0.35 Lm: 6.625 (6.625) Lt: 5.861 (5.861) Accm: 3.08 (3.08) Acct: 4.98 (4.98) proj_loss: -0.5720 (-0.5720) time: 0.4849 data: 0.0003
[11-24 05:57:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:10:08 tlr: 0.00016 tnm: 0.35 Lm: 6.725 (6.725) Lt: 5.995 (5.995) Accm: 2.68 (2.68) Acct: 4.11 (4.11) proj_loss: -0.5632 (-0.5632) time: 0.4849 data: 0.0003
[11-24 05:57:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:10:08 tlr: 0.00016 tnm: 0.35 Lm: 6.751 (6.751) Lt: 6.049 (6.049) Accm: 2.87 (2.87) Acct: 4.40 (4.40) proj_loss: -0.5828 (-0.5828) time: 0.4849 data: 0.0003
[11-24 05:57:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:10:08 tlr: 0.00016 tnm: 0.35 Lm: 6.593 (6.593) Lt: 5.802 (5.802) Accm: 3.27 (3.27) Acct: 5.19 (5.19) proj_loss: -0.5898 (-0.5898) time: 0.4849 data: 0.0003
[11-24 06:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.617 (6.629) Lt: 5.844 (5.862) Accm: 3.23 (3.15) Acct: 4.99 (5.00) proj_loss: -0.5972 (-0.5923) time: 0.4852 data: 0.0003
[11-24 06:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.690 (6.703) Lt: 5.979 (5.972) Accm: 2.83 (2.76) Acct: 4.20 (4.26) proj_loss: -0.5562 (-0.5604) time: 0.4852 data: 0.0003
[11-24 06:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.641 (6.650) Lt: 5.886 (5.889) Accm: 2.88 (2.93) Acct: 4.49 (4.75) proj_loss: -0.5708 (-0.5716) time: 0.4852 data: 0.0002
[11-24 06:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.748 (6.750) Lt: 6.004 (6.034) Accm: 2.73 (2.82) Acct: 4.39 (4.40) proj_loss: -0.5868 (-0.5841) time: 0.4852 data: 0.0003
[11-24 06:04:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:03:24 tlr: 0.00016 tnm: 0.33 Lm: 6.765 (6.788) Lt: 6.053 (6.077) Accm: 2.70 (2.70) Acct: 4.37 (4.22) proj_loss: -0.5814 (-0.5781) time: 0.4873 data: 0.0003
[11-24 06:04:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:03:24 tlr: 0.00016 tnm: 0.33 Lm: 6.593 (6.611) Lt: 5.821 (5.846) Accm: 3.17 (3.14) Acct: 5.12 (5.07) proj_loss: -0.5873 (-0.5859) time: 0.4874 data: 0.0003
[11-24 06:04:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:03:24 tlr: 0.00016 tnm: 0.33 Lm: 6.648 (6.651) Lt: 5.893 (5.892) Accm: 2.89 (2.92) Acct: 4.52 (4.70) proj_loss: -0.5730 (-0.5741) time: 0.4873 data: 0.0002
[11-24 06:04:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:03:24 tlr: 0.00016 tnm: 0.33 Lm: 6.675 (6.650) Lt: 5.953 (5.914) Accm: 2.87 (2.95) Acct: 4.39 (4.58) proj_loss: -0.5632 (-0.5645) time: 0.4874 data: 0.0003
[11-24 06:07:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.660 (6.637) Lt: 5.927 (5.894) Accm: 2.91 (3.02) Acct: 4.58 (4.68) proj_loss: -0.5701 (-0.5667) time: 0.4907 data: 0.0020
[11-24 06:07:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:13:43 (0.493 s / it)
[11-24 06:07:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.641 (6.647) Lt: 5.896 (5.893) Accm: 2.89 (2.96) Acct: 4.55 (4.76) proj_loss: -0.5751 (-0.5762) time: 0.4906 data: 0.0016
[11-24 06:07:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.748 (6.738) Lt: 6.004 (6.021) Accm: 2.73 (2.80) Acct: 4.39 (4.38) proj_loss: -0.5866 (-0.5798) time: 0.4907 data: 0.0016
[11-24 06:07:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.595 (6.608) Lt: 5.812 (5.839) Accm: 3.23 (3.16) Acct: 5.15 (5.08) proj_loss: -0.5774 (-0.5810) time: 0.4907 data: 0.0015
[11-24 06:07:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:13:43 (0.493 s / it)
[11-24 06:07:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:13:43 (0.493 s / it)
[11-24 06:07:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:13:43 (0.493 s / it)
[11-24 06:07:54] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.672 (6.672), Lt: 5.943 (5.943), Acc m&t: 2.94 4.62, Remain: 2 days, 1:47:45, Finish: 2024-11-25 15:55
[11-24 06:07:54] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.672 (6.672), Lt: 5.943 (5.943), Acc m&t: 2.94 4.62, Remain: 2 days, 1:48:20, Finish: 2024-11-25 15:56
[11-24 06:07:54] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.672 (6.672), Lt: 5.943 (5.943), Acc m&t: 2.94 4.62, Remain: 2 days, 1:48:56, Finish: 2024-11-25 15:56
[11-24 06:07:54] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.672 (6.672), Lt: 5.943 (5.943), Acc m&t: 2.94 4.62, Remain: 2 days, 1:48:53, Finish: 2024-11-25 15:56
[11-24 06:07:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:12:48 tlr: 0.00016 tnm: 0.35 Lm: 6.562 (6.562) Lt: 5.773 (5.773) Accm: 3.10 (3.10) Acct: 5.13 (5.13) proj_loss: -0.5716 (-0.5716) time: 0.4603 data: 0.0003
[11-24 06:07:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:12:47 tlr: 0.00016 tnm: 0.35 Lm: 6.580 (6.580) Lt: 5.902 (5.902) Accm: 3.36 (3.36) Acct: 5.08 (5.08) proj_loss: -0.5775 (-0.5775) time: 0.4596 data: 0.0003
[11-24 06:07:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:12:47 tlr: 0.00016 tnm: 0.35 Lm: 6.787 (6.787) Lt: 6.067 (6.067) Accm: 2.53 (2.53) Acct: 3.91 (3.91) proj_loss: -0.5682 (-0.5682) time: 0.4600 data: 0.0004
[11-24 06:07:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:12:47 tlr: 0.00016 tnm: 0.35 Lm: 6.622 (6.622) Lt: 5.928 (5.928) Accm: 3.13 (3.13) Acct: 5.06 (5.06) proj_loss: -0.5754 (-0.5754) time: 0.4600 data: 0.0004
[11-24 06:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:10:09 tlr: 0.00016 tnm: 0.33 Lm: 6.724 (6.724) Lt: 6.036 (6.036) Accm: 2.86 (2.86) Acct: 4.53 (4.53) proj_loss: -0.5744 (-0.5744) time: 0.4874 data: 0.0003
[11-24 06:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:10:09 tlr: 0.00016 tnm: 0.33 Lm: 6.737 (6.737) Lt: 6.038 (6.038) Accm: 2.74 (2.74) Acct: 4.23 (4.23) proj_loss: -0.5781 (-0.5781) time: 0.4874 data: 0.0002
[11-24 06:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:10:09 tlr: 0.00016 tnm: 0.33 Lm: 6.617 (6.617) Lt: 5.835 (5.835) Accm: 2.99 (2.99) Acct: 4.86 (4.86) proj_loss: -0.5675 (-0.5675) time: 0.4874 data: 0.0002
[11-24 06:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:10:09 tlr: 0.00016 tnm: 0.33 Lm: 6.642 (6.642) Lt: 5.981 (5.981) Accm: 2.97 (2.97) Acct: 4.48 (4.48) proj_loss: -0.5779 (-0.5779) time: 0.4874 data: 0.0003
[11-24 06:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.703 (6.683) Lt: 6.061 (6.031) Accm: 2.62 (2.85) Acct: 3.87 (4.26) proj_loss: -0.5783 (-0.5794) time: 0.4896 data: 0.0003
[11-24 06:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.742 (6.730) Lt: 6.034 (6.035) Accm: 2.78 (2.83) Acct: 4.65 (4.57) proj_loss: -0.5754 (-0.5751) time: 0.4896 data: 0.0003
[11-24 06:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.626 (6.620) Lt: 5.862 (5.844) Accm: 3.10 (3.03) Acct: 5.13 (5.00) proj_loss: -0.5716 (-0.5789) time: 0.4896 data: 0.0003
[11-24 06:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.34 Lm: 6.787 (6.757) Lt: 6.044 (6.040) Accm: 2.75 (2.74) Acct: 4.30 (4.25) proj_loss: -0.5860 (-0.5807) time: 0.4896 data: 0.0003
[11-24 06:18:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.33 Lm: 6.776 (6.759) Lt: 6.033 (6.035) Accm: 2.79 (2.76) Acct: 4.42 (4.33) proj_loss: -0.5870 (-0.5848) time: 0.4817 data: 0.0003
[11-24 06:18:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.33 Lm: 6.648 (6.665) Lt: 5.879 (5.908) Accm: 2.99 (2.92) Acct: 4.86 (4.74) proj_loss: -0.5773 (-0.5799) time: 0.4817 data: 0.0002
[11-24 06:18:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.33 Lm: 6.689 (6.681) Lt: 6.004 (6.010) Accm: 2.77 (2.87) Acct: 4.07 (4.27) proj_loss: -0.5779 (-0.5773) time: 0.4817 data: 0.0003
[11-24 06:18:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.33 Lm: 6.682 (6.703) Lt: 5.981 (6.008) Accm: 2.91 (2.88) Acct: 4.74 (4.64) proj_loss: -0.5757 (-0.5753) time: 0.4817 data: 0.0003
[11-24 06:21:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.32 Lm: 6.622 (6.668) Lt: 5.928 (5.969) Accm: 3.04 (3.00) Acct: 4.84 (4.75) proj_loss: -0.5760 (-0.5772) time: 0.4884 data: 0.0017
[11-24 06:21:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:13:31 (0.486 s / it)
[11-24 06:21:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.32 Lm: 6.626 (6.656) Lt: 5.897 (5.909) Accm: 3.05 (2.94) Acct: 4.63 (4.72) proj_loss: -0.5743 (-0.5788) time: 0.4884 data: 0.0015
[11-24 06:21:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.32 Lm: 6.787 (6.778) Lt: 6.044 (6.066) Accm: 2.75 (2.69) Acct: 4.30 (4.21) proj_loss: -0.5860 (-0.5836) time: 0.4884 data: 0.0019
[11-24 06:21:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.32 Lm: 6.703 (6.692) Lt: 5.994 (6.006) Accm: 2.93 (2.88) Acct: 4.27 (4.36) proj_loss: -0.5775 (-0.5747) time: 0.4884 data: 0.0017
[11-24 06:21:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:13:31 (0.486 s / it)
[11-24 06:21:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:13:31 (0.486 s / it)
[11-24 06:21:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:13:31 (0.486 s / it)
[11-24 06:21:26] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.672 (6.696), Lt: 5.943 (5.970), Acc m&t: 2.94 4.62, Remain: 2 days, 1:36:45, Finish: 2024-11-25 15:58
[11-24 06:21:26] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.672 (6.696), Lt: 5.943 (5.970), Acc m&t: 2.94 4.62, Remain: 2 days, 1:32:58, Finish: 2024-11-25 15:54
[11-24 06:21:26] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.672 (6.696), Lt: 5.943 (5.970), Acc m&t: 2.94 4.62, Remain: 2 days, 1:35:17, Finish: 2024-11-25 15:56
[11-24 06:21:26] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.672 (6.696), Lt: 5.943 (5.970), Acc m&t: 2.94 4.62, Remain: 2 days, 1:35:59, Finish: 2024-11-25 15:57
[11-24 06:21:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:13:27 tlr: 0.00016 tnm: 0.33 Lm: 6.779 (6.779) Lt: 5.989 (5.989) Accm: 2.83 (2.83) Acct: 4.68 (4.68) proj_loss: -0.5550 (-0.5550) time: 0.4836 data: 0.0003
[11-24 06:21:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:13:28 tlr: 0.00016 tnm: 0.33 Lm: 6.542 (6.542) Lt: 5.853 (5.853) Accm: 3.40 (3.40) Acct: 5.32 (5.32) proj_loss: -0.5734 (-0.5734) time: 0.4843 data: 0.0004
[11-24 06:21:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:13:27 tlr: 0.00016 tnm: 0.33 Lm: 6.776 (6.776) Lt: 6.054 (6.054) Accm: 2.90 (2.90) Acct: 4.55 (4.55) proj_loss: -0.5775 (-0.5775) time: 0.4841 data: 0.0004
[11-24 06:21:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:13:27 tlr: 0.00016 tnm: 0.33 Lm: 6.620 (6.620) Lt: 5.913 (5.913) Accm: 2.93 (2.93) Acct: 4.58 (4.58) proj_loss: -0.5891 (-0.5891) time: 0.4837 data: 0.0004
[11-24 06:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:10:41 tlr: 0.00016 tnm: 0.33 Lm: 6.708 (6.708) Lt: 5.996 (5.996) Accm: 2.79 (2.79) Acct: 4.20 (4.20) proj_loss: -0.5739 (-0.5739) time: 0.4858 data: 0.0003
[11-24 06:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:10:41 tlr: 0.00016 tnm: 0.33 Lm: 6.683 (6.683) Lt: 5.925 (5.925) Accm: 2.91 (2.91) Acct: 4.74 (4.74) proj_loss: -0.5717 (-0.5717) time: 0.4858 data: 0.0003
[11-24 06:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:10:41 tlr: 0.00016 tnm: 0.33 Lm: 6.660 (6.660) Lt: 5.923 (5.923) Accm: 3.07 (3.07) Acct: 4.87 (4.87) proj_loss: -0.5783 (-0.5783) time: 0.4858 data: 0.0003
[11-24 06:25:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:10:41 tlr: 0.00016 tnm: 0.33 Lm: 6.607 (6.607) Lt: 5.908 (5.908) Accm: 3.20 (3.20) Acct: 4.93 (4.93) proj_loss: -0.5749 (-0.5749) time: 0.4858 data: 0.0003
[11-24 06:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:06:59 tlr: 0.00016 tnm: 0.33 Lm: 6.672 (6.668) Lt: 5.964 (5.970) Accm: 2.99 (2.99) Acct: 4.55 (4.57) proj_loss: -0.5764 (-0.5803) time: 0.4853 data: 0.0003
[11-24 06:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:06:59 tlr: 0.00016 tnm: 0.33 Lm: 6.635 (6.684) Lt: 5.913 (5.958) Accm: 2.83 (2.80) Acct: 4.46 (4.29) proj_loss: -0.5737 (-0.5739) time: 0.4853 data: 0.0003
[11-24 06:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:06:59 tlr: 0.00016 tnm: 0.33 Lm: 6.745 (6.688) Lt: 6.019 (5.955) Accm: 2.96 (3.03) Acct: 4.82 (4.86) proj_loss: -0.5788 (-0.5785) time: 0.4853 data: 0.0003
[11-24 06:28:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:06:59 tlr: 0.00016 tnm: 0.33 Lm: 6.616 (6.661) Lt: 5.861 (5.903) Accm: 2.96 (2.93) Acct: 4.80 (4.78) proj_loss: -0.5871 (-0.5768) time: 0.4853 data: 0.0003
[11-24 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:03:28 tlr: 0.00016 tnm: 0.34 Lm: 6.645 (6.664) Lt: 5.914 (5.919) Accm: 2.98 (2.96) Acct: 4.76 (4.76) proj_loss: -0.5849 (-0.5783) time: 0.4875 data: 0.0003
[11-24 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:03:28 tlr: 0.00016 tnm: 0.34 Lm: 6.677 (6.693) Lt: 5.934 (5.957) Accm: 2.87 (2.83) Acct: 4.52 (4.42) proj_loss: -0.5784 (-0.5762) time: 0.4875 data: 0.0002
[11-24 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:03:28 tlr: 0.00016 tnm: 0.34 Lm: 6.700 (6.683) Lt: 5.991 (5.982) Accm: 2.88 (2.94) Acct: 4.35 (4.46) proj_loss: -0.5838 (-0.5844) time: 0.4875 data: 0.0003
[11-24 06:31:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:03:28 tlr: 0.00016 tnm: 0.34 Lm: 6.710 (6.685) Lt: 6.003 (5.963) Accm: 2.93 (2.99) Acct: 4.68 (4.72) proj_loss: -0.5790 (-0.5827) time: 0.4875 data: 0.0002
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.674 (6.679) Lt: 5.987 (5.963) Accm: 2.90 (2.93) Acct: 4.55 (4.61) proj_loss: -0.5792 (-0.5828) time: 0.4905 data: 0.0017
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:13:47 (0.496 s / it)
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.616 (6.641) Lt: 5.861 (5.890) Accm: 2.99 (3.04) Acct: 4.80 (4.87) proj_loss: -0.5828 (-0.5773) time: 0.4905 data: 0.0014
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.635 (6.668) Lt: 5.913 (5.933) Accm: 2.91 (2.89) Acct: 4.58 (4.53) proj_loss: -0.5781 (-0.5765) time: 0.4905 data: 0.0018
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.33 Lm: 6.728 (6.700) Lt: 6.017 (6.011) Accm: 2.77 (2.85) Acct: 4.15 (4.35) proj_loss: -0.5764 (-0.5809) time: 0.4904 data: 0.0016
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:13:47 (0.496 s / it)
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:13:47 (0.496 s / it)
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:13:47 (0.496 s / it)
[11-24 06:35:14] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.672 (6.687), Lt: 5.943 (5.959), Acc m&t: 2.94 4.62, Remain: 2 days, 1:22:32, Finish: 2024-11-25 15:57
[11-24 06:35:14] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.672 (6.687), Lt: 5.943 (5.959), Acc m&t: 2.94 4.62, Remain: 2 days, 1:22:56, Finish: 2024-11-25 15:58
[11-24 06:35:14] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.672 (6.687), Lt: 5.943 (5.959), Acc m&t: 2.94 4.62, Remain: 2 days, 1:22:54, Finish: 2024-11-25 15:58
[11-24 06:35:14] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.672 (6.687), Lt: 5.943 (5.959), Acc m&t: 2.94 4.62, Remain: 2 days, 1:22:30, Finish: 2024-11-25 15:57
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:13:11 tlr: 0.00016 tnm: 0.34 Lm: 6.795 (6.795) Lt: 6.121 (6.121) Accm: 2.67 (2.67) Acct: 4.01 (4.01) proj_loss: -0.5963 (-0.5963) time: 0.4744 data: 0.0003
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:13:12 tlr: 0.00016 tnm: 0.34 Lm: 6.743 (6.743) Lt: 6.034 (6.034) Accm: 2.83 (2.83) Acct: 4.15 (4.15) proj_loss: -0.5920 (-0.5920) time: 0.4749 data: 0.0003
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:13:12 tlr: 0.00016 tnm: 0.34 Lm: 6.662 (6.662) Lt: 5.954 (5.954) Accm: 2.96 (2.96) Acct: 4.67 (4.67) proj_loss: -0.5887 (-0.5887) time: 0.4747 data: 0.0004
[11-24 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:13:13 tlr: 0.00016 tnm: 0.34 Lm: 6.855 (6.855) Lt: 6.186 (6.186) Accm: 2.37 (2.37) Acct: 3.82 (3.82) proj_loss: -0.5823 (-0.5823) time: 0.4752 data: 0.0004
[11-24 06:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:10:11 tlr: 0.00016 tnm: 0.33 Lm: 6.765 (6.765) Lt: 6.077 (6.077) Accm: 2.54 (2.54) Acct: 4.15 (4.15) proj_loss: -0.5764 (-0.5764) time: 0.4919 data: 0.0003
[11-24 06:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:10:11 tlr: 0.00016 tnm: 0.33 Lm: 6.613 (6.613) Lt: 5.868 (5.868) Accm: 3.14 (3.14) Acct: 5.05 (5.05) proj_loss: -0.5825 (-0.5825) time: 0.4919 data: 0.0003
[11-24 06:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:10:11 tlr: 0.00016 tnm: 0.33 Lm: 6.728 (6.728) Lt: 6.022 (6.022) Accm: 2.78 (2.78) Acct: 4.26 (4.26) proj_loss: -0.5760 (-0.5760) time: 0.4919 data: 0.0003
[11-24 06:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:10:11 tlr: 0.00016 tnm: 0.33 Lm: 6.697 (6.697) Lt: 5.985 (5.985) Accm: 2.86 (2.86) Acct: 4.28 (4.28) proj_loss: -0.5823 (-0.5823) time: 0.4919 data: 0.0003
[11-24 06:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:06:49 tlr: 0.00016 tnm: 0.35 Lm: 6.651 (6.641) Lt: 5.935 (5.933) Accm: 2.88 (2.99) Acct: 4.41 (4.55) proj_loss: -0.5920 (-0.5884) time: 0.4862 data: 0.0003
[11-24 06:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:06:49 tlr: 0.00016 tnm: 0.35 Lm: 6.701 (6.744) Lt: 5.998 (6.051) Accm: 2.70 (2.71) Acct: 4.48 (4.34) proj_loss: -0.5706 (-0.5693) time: 0.4863 data: 0.0003
[11-24 06:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:06:49 tlr: 0.00016 tnm: 0.35 Lm: 6.662 (6.646) Lt: 5.954 (5.918) Accm: 2.96 (2.96) Acct: 4.67 (4.74) proj_loss: -0.5887 (-0.5847) time: 0.4863 data: 0.0003
[11-24 06:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:06:49 tlr: 0.00016 tnm: 0.35 Lm: 6.795 (6.751) Lt: 6.071 (6.039) Accm: 2.67 (2.71) Acct: 4.05 (4.19) proj_loss: -0.5649 (-0.5723) time: 0.4862 data: 0.0003
[11-24 06:45:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:03:24 tlr: 0.00016 tnm: 0.36 Lm: 6.728 (6.722) Lt: 5.997 (6.005) Accm: 2.78 (2.76) Acct: 4.28 (4.29) proj_loss: -0.5723 (-0.5741) time: 0.4852 data: 0.0003
[11-24 06:45:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:03:24 tlr: 0.00016 tnm: 0.36 Lm: 6.660 (6.648) Lt: 5.956 (5.928) Accm: 2.88 (2.92) Acct: 4.39 (4.58) proj_loss: -0.5825 (-0.5819) time: 0.4852 data: 0.0003
[11-24 06:45:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:03:24 tlr: 0.00016 tnm: 0.36 Lm: 6.699 (6.732) Lt: 5.983 (6.026) Accm: 2.86 (2.79) Acct: 4.60 (4.47) proj_loss: -0.5759 (-0.5723) time: 0.4852 data: 0.0003
[11-24 06:45:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:03:24 tlr: 0.00016 tnm: 0.36 Lm: 6.693 (6.664) Lt: 5.980 (5.956) Accm: 2.86 (2.90) Acct: 4.34 (4.48) proj_loss: -0.5907 (-0.5886) time: 0.4852 data: 0.0003
[11-24 06:49:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.662 (6.664) Lt: 5.943 (5.953) Accm: 2.83 (2.85) Acct: 4.27 (4.41) proj_loss: -0.5894 (-0.5878) time: 0.4875 data: 0.0017
[11-24 06:49:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:13:48 (0.496 s / it)
[11-24 06:49:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.682 (6.714) Lt: 5.923 (5.986) Accm: 2.78 (2.76) Acct: 4.51 (4.34) proj_loss: -0.5743 (-0.5742) time: 0.4876 data: 0.0016
[11-24 06:49:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.701 (6.728) Lt: 5.981 (6.017) Accm: 2.91 (2.82) Acct: 4.48 (4.46) proj_loss: -0.5812 (-0.5748) time: 0.4876 data: 0.0015
[11-24 06:49:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.662 (6.663) Lt: 5.954 (5.932) Accm: 2.80 (2.85) Acct: 4.30 (4.52) proj_loss: -0.5815 (-0.5818) time: 0.4876 data: 0.0020
[11-24 06:49:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:13:48 (0.496 s / it)
[11-24 06:49:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:13:48 (0.496 s / it)
[11-24 06:49:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:13:48 (0.496 s / it)
[11-24 06:49:02] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.672 (6.675), Lt: 5.943 (5.945), Acc m&t: 2.94 4.62, Remain: 2 days, 0:42:38, Finish: 2024-11-25 15:31
[11-24 06:49:02] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.672 (6.675), Lt: 5.943 (5.945), Acc m&t: 2.94 4.62, Remain: 2 days, 0:40:48, Finish: 2024-11-25 15:29
[11-24 06:49:02] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.672 (6.675), Lt: 5.943 (5.945), Acc m&t: 2.94 4.62, Remain: 2 days, 0:42:32, Finish: 2024-11-25 15:31
[11-24 06:49:02] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.672 (6.675), Lt: 5.943 (5.945), Acc m&t: 2.94 4.62, Remain: 2 days, 0:41:22, Finish: 2024-11-25 15:30
[11-24 06:49:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:13:06 tlr: 0.00016 tnm: 0.35 Lm: 6.656 (6.656) Lt: 5.932 (5.932) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: -0.6127 (-0.6127) time: 0.4713 data: 0.0004
[11-24 06:49:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:13:07 tlr: 0.00016 tnm: 0.35 Lm: 6.649 (6.649) Lt: 5.904 (5.904) Accm: 2.86 (2.86) Acct: 4.51 (4.51) proj_loss: -0.5823 (-0.5823) time: 0.4721 data: 0.0003
[11-24 06:49:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:13:08 tlr: 0.00016 tnm: 0.35 Lm: 6.748 (6.748) Lt: 6.016 (6.016) Accm: 2.72 (2.72) Acct: 4.25 (4.25) proj_loss: -0.5648 (-0.5648) time: 0.4723 data: 0.0003
[11-24 06:49:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:13:08 tlr: 0.00016 tnm: 0.35 Lm: 6.645 (6.645) Lt: 5.941 (5.941) Accm: 2.99 (2.99) Acct: 4.56 (4.56) proj_loss: -0.5762 (-0.5762) time: 0.4724 data: 0.0004
[11-24 06:52:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:10:10 tlr: 0.00016 tnm: 0.36 Lm: 6.635 (6.635) Lt: 5.938 (5.938) Accm: 2.96 (2.96) Acct: 4.67 (4.67) proj_loss: -0.5861 (-0.5861) time: 0.4890 data: 0.0003
[11-24 06:52:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:10:10 tlr: 0.00016 tnm: 0.36 Lm: 6.588 (6.588) Lt: 5.848 (5.848) Accm: 3.24 (3.24) Acct: 5.01 (5.01) proj_loss: -0.5646 (-0.5646) time: 0.4890 data: 0.0002
[11-24 06:52:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:10:10 tlr: 0.00016 tnm: 0.36 Lm: 6.684 (6.684) Lt: 5.969 (5.969) Accm: 2.86 (2.86) Acct: 4.42 (4.42) proj_loss: -0.5847 (-0.5847) time: 0.4890 data: 0.0003
[11-24 06:52:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:10:10 tlr: 0.00016 tnm: 0.36 Lm: 6.610 (6.610) Lt: 5.866 (5.866) Accm: 2.94 (2.94) Acct: 4.59 (4.59) proj_loss: -0.6026 (-0.6026) time: 0.4890 data: 0.0003
[11-24 06:55:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:06:47 tlr: 0.00016 tnm: 0.34 Lm: 6.656 (6.645) Lt: 5.932 (5.901) Accm: 2.88 (2.88) Acct: 4.55 (4.49) proj_loss: -0.5924 (-0.5962) time: 0.4897 data: 0.0003
[11-24 06:55:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:06:47 tlr: 0.00016 tnm: 0.34 Lm: 6.625 (6.629) Lt: 5.934 (5.913) Accm: 2.99 (3.13) Acct: 4.79 (4.91) proj_loss: -0.5762 (-0.5801) time: 0.4896 data: 0.0003
[11-24 06:55:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:06:47 tlr: 0.00016 tnm: 0.34 Lm: 6.666 (6.614) Lt: 5.869 (5.855) Accm: 2.94 (3.14) Acct: 5.04 (5.02) proj_loss: -0.5644 (-0.5578) time: 0.4896 data: 0.0003
[11-24 06:55:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:06:47 tlr: 0.00016 tnm: 0.34 Lm: 6.719 (6.699) Lt: 5.973 (5.971) Accm: 2.86 (2.84) Acct: 4.34 (4.39) proj_loss: -0.5823 (-0.5801) time: 0.4897 data: 0.0003
[11-24 06:59:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.33 Lm: 6.708 (6.699) Lt: 5.950 (5.959) Accm: 2.86 (2.86) Acct: 4.42 (4.49) proj_loss: -0.5768 (-0.5779) time: 0.4868 data: 0.0003
[11-24 06:59:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.33 Lm: 6.686 (6.698) Lt: 5.952 (5.968) Accm: 2.82 (2.78) Acct: 4.42 (4.35) proj_loss: -0.5880 (-0.5909) time: 0.4868 data: 0.0003
[11-24 06:59:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.33 Lm: 6.702 (6.645) Lt: 5.933 (5.891) Accm: 2.83 (3.02) Acct: 4.65 (4.81) proj_loss: -0.5646 (-0.5617) time: 0.4868 data: 0.0003
[11-24 06:59:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.33 Lm: 6.629 (6.630) Lt: 5.928 (5.915) Accm: 2.96 (3.07) Acct: 4.67 (4.82) proj_loss: -0.5798 (-0.5809) time: 0.4868 data: 0.0003
[11-24 07:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.625 (6.604) Lt: 5.921 (5.886) Accm: 2.99 (3.11) Acct: 4.79 (4.89) proj_loss: -0.5813 (-0.5810) time: 0.4897 data: 0.0021
[11-24 07:02:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:13:33 (0.488 s / it)
[11-24 07:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.666 (6.612) Lt: 5.869 (5.851) Accm: 2.94 (3.13) Acct: 5.04 (5.03) proj_loss: -0.5648 (-0.5647) time: 0.4897 data: 0.0017
[11-24 07:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.719 (6.721) Lt: 5.973 (6.009) Accm: 2.86 (2.79) Acct: 4.34 (4.36) proj_loss: -0.5823 (-0.5808) time: 0.4897 data: 0.0015
[11-24 07:02:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.656 (6.674) Lt: 5.932 (5.931) Accm: 2.88 (2.91) Acct: 4.55 (4.59) proj_loss: -0.5836 (-0.5881) time: 0.4897 data: 0.0016
[11-24 07:02:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:13:33 (0.488 s / it)
[11-24 07:02:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:13:33 (0.488 s / it)
[11-24 07:02:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:13:33 (0.488 s / it)
[11-24 07:02:36] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.668 (6.668), Lt: 5.942 (5.942), Acc m&t: 2.96 4.67, Remain: 2 days, 0:52:31, Finish: 2024-11-25 15:55
[11-24 07:02:36] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.668 (6.668), Lt: 5.942 (5.942), Acc m&t: 2.96 4.67, Remain: 2 days, 0:51:29, Finish: 2024-11-25 15:54
[11-24 07:02:36] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.668 (6.668), Lt: 5.942 (5.942), Acc m&t: 2.96 4.67, Remain: 2 days, 0:51:41, Finish: 2024-11-25 15:54
[11-24 07:02:36] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.668 (6.668), Lt: 5.942 (5.942), Acc m&t: 2.96 4.67, Remain: 2 days, 0:51:35, Finish: 2024-11-25 15:54
[11-24 07:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:13:27 tlr: 0.00016 tnm: 0.32 Lm: 6.714 (6.714) Lt: 6.058 (6.058) Accm: 2.96 (2.96) Acct: 4.46 (4.46) proj_loss: -0.5792 (-0.5792) time: 0.4838 data: 0.0003
[11-24 07:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:13:26 tlr: 0.00016 tnm: 0.32 Lm: 6.636 (6.636) Lt: 5.967 (5.967) Accm: 3.08 (3.08) Acct: 4.51 (4.51) proj_loss: -0.6069 (-0.6069) time: 0.4834 data: 0.0004
[11-24 07:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:13:27 tlr: 0.00016 tnm: 0.32 Lm: 6.717 (6.717) Lt: 6.047 (6.047) Accm: 2.69 (2.69) Acct: 4.36 (4.36) proj_loss: -0.5679 (-0.5679) time: 0.4838 data: 0.0004
[11-24 07:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:13:27 tlr: 0.00016 tnm: 0.32 Lm: 6.716 (6.716) Lt: 5.973 (5.973) Accm: 2.64 (2.64) Acct: 4.12 (4.12) proj_loss: -0.5838 (-0.5838) time: 0.4837 data: 0.0003
[11-24 07:06:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:10:48 tlr: 0.00016 tnm: 0.32 Lm: 6.706 (6.706) Lt: 5.973 (5.973) Accm: 2.78 (2.78) Acct: 4.28 (4.28) proj_loss: -0.5773 (-0.5773) time: 0.4891 data: 0.0003
[11-24 07:06:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:10:48 tlr: 0.00016 tnm: 0.32 Lm: 6.645 (6.645) Lt: 5.943 (5.943) Accm: 2.94 (2.94) Acct: 4.66 (4.66) proj_loss: -0.5804 (-0.5804) time: 0.4891 data: 0.0003
[11-24 07:06:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:10:48 tlr: 0.00016 tnm: 0.32 Lm: 6.595 (6.595) Lt: 5.912 (5.912) Accm: 3.39 (3.39) Acct: 5.24 (5.24) proj_loss: -0.5918 (-0.5918) time: 0.4891 data: 0.0003
[11-24 07:06:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:10:48 tlr: 0.00016 tnm: 0.32 Lm: 6.622 (6.622) Lt: 5.929 (5.929) Accm: 2.99 (2.99) Acct: 4.62 (4.62) proj_loss: -0.6003 (-0.6003) time: 0.4891 data: 0.0003
[11-24 07:09:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:07:00 tlr: 0.00016 tnm: 0.34 Lm: 6.636 (6.682) Lt: 5.967 (5.978) Accm: 2.91 (2.87) Acct: 4.51 (4.53) proj_loss: -0.5936 (-0.5959) time: 0.4868 data: 0.0003
[11-24 07:09:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:07:00 tlr: 0.00016 tnm: 0.34 Lm: 6.663 (6.651) Lt: 5.896 (5.927) Accm: 2.86 (2.92) Acct: 4.56 (4.63) proj_loss: -0.5877 (-0.5828) time: 0.4868 data: 0.0003
[11-24 07:09:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:07:00 tlr: 0.00016 tnm: 0.34 Lm: 6.695 (6.674) Lt: 5.972 (5.937) Accm: 2.91 (2.91) Acct: 4.44 (4.57) proj_loss: -0.5708 (-0.5751) time: 0.4868 data: 0.0003
[11-24 07:09:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:07:00 tlr: 0.00016 tnm: 0.34 Lm: 6.693 (6.628) Lt: 5.986 (5.936) Accm: 2.96 (3.17) Acct: 4.49 (4.99) proj_loss: -0.5792 (-0.5831) time: 0.4868 data: 0.0002
[11-24 07:13:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:03:28 tlr: 0.00016 tnm: 0.33 Lm: 6.618 (6.606) Lt: 5.923 (5.918) Accm: 3.09 (3.18) Acct: 4.58 (4.91) proj_loss: -0.5897 (-0.5874) time: 0.4884 data: 0.0003
[11-24 07:13:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:03:28 tlr: 0.00016 tnm: 0.33 Lm: 6.688 (6.676) Lt: 5.950 (5.935) Accm: 2.88 (2.89) Acct: 4.28 (4.45) proj_loss: -0.5707 (-0.5722) time: 0.4884 data: 0.0003
[11-24 07:13:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:03:28 tlr: 0.00016 tnm: 0.33 Lm: 6.685 (6.695) Lt: 5.992 (5.988) Accm: 2.81 (2.83) Acct: 4.43 (4.49) proj_loss: -0.5904 (-0.5904) time: 0.4884 data: 0.0003
[11-24 07:13:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:03:28 tlr: 0.00016 tnm: 0.33 Lm: 6.630 (6.637) Lt: 5.867 (5.892) Accm: 2.87 (2.90) Acct: 4.51 (4.58) proj_loss: -0.5887 (-0.5845) time: 0.4884 data: 0.0003
[11-24 07:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.597 (6.609) Lt: 5.838 (5.858) Accm: 2.87 (3.06) Acct: 4.56 (4.85) proj_loss: -0.5877 (-0.5824) time: 0.4873 data: 0.0019
[11-24 07:16:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:13:47 (0.496 s / it)
[11-24 07:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.695 (6.681) Lt: 5.972 (5.944) Accm: 2.84 (2.85) Acct: 4.12 (4.34) proj_loss: -0.5707 (-0.5704) time: 0.4873 data: 0.0015
[11-24 07:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.693 (6.630) Lt: 5.955 (5.925) Accm: 2.96 (3.11) Acct: 4.49 (4.82) proj_loss: -0.5792 (-0.5835) time: 0.4873 data: 0.0015
[11-24 07:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.638 (6.684) Lt: 5.967 (5.976) Accm: 2.91 (2.89) Acct: 4.51 (4.58) proj_loss: -0.5936 (-0.5928) time: 0.4873 data: 0.0014
[11-24 07:16:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:13:47 (0.496 s / it)
[11-24 07:16:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:13:47 (0.496 s / it)
[11-24 07:16:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:13:47 (0.496 s / it)
[11-24 07:16:24] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.666 (6.666), Lt: 5.936 (5.936), Acc m&t: 2.97 4.67, Remain: 2 days, 0:28:08, Finish: 2024-11-25 15:44
[11-24 07:16:24] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.666 (6.666), Lt: 5.936 (5.936), Acc m&t: 2.97 4.67, Remain: 2 days, 0:27:59, Finish: 2024-11-25 15:44
[11-24 07:16:24] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.666 (6.666), Lt: 5.936 (5.936), Acc m&t: 2.97 4.67, Remain: 2 days, 0:29:23, Finish: 2024-11-25 15:45
[11-24 07:16:24] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.666 (6.666), Lt: 5.936 (5.936), Acc m&t: 2.97 4.67, Remain: 2 days, 0:30:44, Finish: 2024-11-25 15:47
[11-24 07:16:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:13:38 tlr: 0.00016 tnm: 0.33 Lm: 6.678 (6.678) Lt: 5.962 (5.962) Accm: 3.02 (3.02) Acct: 4.67 (4.67) proj_loss: -0.5799 (-0.5799) time: 0.4902 data: 0.0004
[11-24 07:16:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:13:37 tlr: 0.00016 tnm: 0.33 Lm: 6.778 (6.778) Lt: 6.114 (6.114) Accm: 2.67 (2.67) Acct: 3.99 (3.99) proj_loss: -0.6042 (-0.6042) time: 0.4899 data: 0.0004
[11-24 07:16:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:13:38 tlr: 0.00016 tnm: 0.33 Lm: 6.641 (6.641) Lt: 5.871 (5.871) Accm: 2.85 (2.85) Acct: 4.49 (4.49) proj_loss: -0.5734 (-0.5734) time: 0.4903 data: 0.0003
[11-24 07:16:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:13:38 tlr: 0.00016 tnm: 0.33 Lm: 6.761 (6.761) Lt: 6.062 (6.062) Accm: 2.46 (2.46) Acct: 3.93 (3.93) proj_loss: -0.5675 (-0.5675) time: 0.4905 data: 0.0003
[11-24 07:19:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:10:08 tlr: 0.00016 tnm: 0.34 Lm: 6.741 (6.741) Lt: 6.020 (6.020) Accm: 2.53 (2.53) Acct: 3.95 (3.95) proj_loss: -0.5783 (-0.5783) time: 0.4885 data: 0.0003
[11-24 07:19:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:10:08 tlr: 0.00016 tnm: 0.34 Lm: 6.730 (6.730) Lt: 6.037 (6.037) Accm: 2.83 (2.83) Acct: 4.54 (4.54) proj_loss: -0.5813 (-0.5813) time: 0.4885 data: 0.0002
[11-24 07:19:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:10:08 tlr: 0.00016 tnm: 0.34 Lm: 6.726 (6.726) Lt: 5.986 (5.986) Accm: 2.63 (2.63) Acct: 4.12 (4.12) proj_loss: -0.5855 (-0.5855) time: 0.4885 data: 0.0003
[11-24 07:19:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:10:08 tlr: 0.00016 tnm: 0.34 Lm: 6.788 (6.788) Lt: 6.092 (6.092) Accm: 2.68 (2.68) Acct: 4.05 (4.05) proj_loss: -0.5873 (-0.5873) time: 0.4885 data: 0.0003
[11-24 07:23:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.778 (6.769) Lt: 6.071 (6.055) Accm: 2.69 (2.73) Acct: 4.12 (4.20) proj_loss: -0.5855 (-0.5867) time: 0.4836 data: 0.0003
[11-24 07:23:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.720 (6.723) Lt: 5.997 (6.013) Accm: 2.59 (2.67) Acct: 3.98 (4.10) proj_loss: -0.5890 (-0.5833) time: 0.4836 data: 0.0003
[11-24 07:23:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.678 (6.695) Lt: 5.962 (6.001) Accm: 3.02 (3.02) Acct: 4.67 (4.82) proj_loss: -0.5799 (-0.5798) time: 0.4836 data: 0.0003
[11-24 07:23:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:06:50 tlr: 0.00016 tnm: 0.33 Lm: 6.810 (6.767) Lt: 6.101 (6.034) Accm: 2.42 (2.56) Acct: 3.74 (3.98) proj_loss: -0.5791 (-0.5834) time: 0.4836 data: 0.0002
[11-24 07:26:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:03:29 tlr: 0.00016 tnm: 0.34 Lm: 6.752 (6.748) Lt: 6.032 (6.017) Accm: 2.63 (2.67) Acct: 4.12 (4.14) proj_loss: -0.5793 (-0.5824) time: 0.5462 data: 0.0002
[11-24 07:26:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:03:29 tlr: 0.00016 tnm: 0.34 Lm: 6.754 (6.742) Lt: 6.026 (6.035) Accm: 2.68 (2.72) Acct: 4.29 (4.27) proj_loss: -0.5783 (-0.5828) time: 0.5462 data: 0.0003
[11-24 07:26:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:03:29 tlr: 0.00016 tnm: 0.34 Lm: 6.681 (6.693) Lt: 5.985 (6.002) Accm: 2.92 (2.97) Acct: 4.54 (4.71) proj_loss: -0.5813 (-0.5848) time: 0.5462 data: 0.0003
[11-24 07:26:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:03:29 tlr: 0.00016 tnm: 0.34 Lm: 6.741 (6.750) Lt: 6.030 (6.048) Accm: 2.63 (2.67) Acct: 4.15 (4.15) proj_loss: -0.5898 (-0.5851) time: 0.5462 data: 0.0003
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.32 Lm: 6.720 (6.731) Lt: 5.997 (6.019) Accm: 2.67 (2.73) Acct: 4.32 (4.27) proj_loss: -0.5905 (-0.5873) time: 0.4906 data: 0.0015
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:13:51 (0.498 s / it)
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.32 Lm: 6.694 (6.718) Lt: 5.964 (5.989) Accm: 2.85 (2.80) Acct: 4.49 (4.31) proj_loss: -0.5796 (-0.5849) time: 0.4906 data: 0.0019
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.32 Lm: 6.685 (6.699) Lt: 5.988 (5.999) Accm: 3.02 (3.00) Acct: 4.67 (4.75) proj_loss: -0.5824 (-0.5843) time: 0.4906 data: 0.0018
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.32 Lm: 6.730 (6.719) Lt: 5.981 (6.008) Accm: 2.69 (2.78) Acct: 4.46 (4.35) proj_loss: -0.5712 (-0.5805) time: 0.4906 data: 0.0019
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:13:51 (0.498 s / it)
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:13:51 (0.498 s / it)
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:13:51 (0.498 s / it)
[11-24 07:30:15] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.666 (6.682), Lt: 5.936 (5.954), Acc m&t: 2.97 4.67, Remain: 2 days, 0:30:51, Finish: 2024-11-25 16:01
[11-24 07:30:15] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.666 (6.682), Lt: 5.936 (5.954), Acc m&t: 2.97 4.67, Remain: 2 days, 0:31:56, Finish: 2024-11-25 16:02
[11-24 07:30:15] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.666 (6.682), Lt: 5.936 (5.954), Acc m&t: 2.97 4.67, Remain: 2 days, 0:31:11, Finish: 2024-11-25 16:01
[11-24 07:30:15] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.666 (6.682), Lt: 5.936 (5.954), Acc m&t: 2.97 4.67, Remain: 2 days, 0:31:37, Finish: 2024-11-25 16:01
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:12:49 tlr: 0.00016 tnm: 0.33 Lm: 6.835 (6.835) Lt: 6.150 (6.150) Accm: 2.29 (2.29) Acct: 3.48 (3.48) proj_loss: -0.5763 (-0.5763) time: 0.4608 data: 0.0004
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:12:49 tlr: 0.00016 tnm: 0.33 Lm: 6.531 (6.531) Lt: 5.841 (5.841) Accm: 3.17 (3.17) Acct: 5.06 (5.06) proj_loss: -0.5838 (-0.5838) time: 0.4611 data: 0.0004
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:12:49 tlr: 0.00016 tnm: 0.33 Lm: 6.565 (6.565) Lt: 5.833 (5.833) Accm: 3.23 (3.23) Acct: 5.10 (5.10) proj_loss: -0.5833 (-0.5833) time: 0.4611 data: 0.0004
[11-24 07:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:12:50 tlr: 0.00016 tnm: 0.33 Lm: 6.760 (6.760) Lt: 6.081 (6.081) Accm: 2.55 (2.55) Acct: 3.98 (3.98) proj_loss: -0.5992 (-0.5992) time: 0.4614 data: 0.0004
[11-24 07:33:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:10:09 tlr: 0.00016 tnm: 0.34 Lm: 6.752 (6.752) Lt: 6.054 (6.054) Accm: 2.66 (2.66) Acct: 4.05 (4.05) proj_loss: -0.5998 (-0.5998) time: 0.4870 data: 0.0003
[11-24 07:33:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:10:09 tlr: 0.00016 tnm: 0.34 Lm: 6.736 (6.736) Lt: 6.035 (6.035) Accm: 2.67 (2.67) Acct: 4.06 (4.06) proj_loss: -0.5766 (-0.5766) time: 0.4870 data: 0.0003
[11-24 07:33:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:10:09 tlr: 0.00016 tnm: 0.34 Lm: 6.693 (6.693) Lt: 5.983 (5.983) Accm: 2.73 (2.73) Acct: 4.28 (4.28) proj_loss: -0.5838 (-0.5838) time: 0.4870 data: 0.0003
[11-24 07:33:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:10:09 tlr: 0.00016 tnm: 0.34 Lm: 6.616 (6.616) Lt: 5.856 (5.856) Accm: 3.09 (3.09) Acct: 4.87 (4.87) proj_loss: -0.5828 (-0.5828) time: 0.4870 data: 0.0003
[11-24 07:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.32 Lm: 6.667 (6.643) Lt: 5.880 (5.899) Accm: 2.95 (3.02) Acct: 4.67 (4.80) proj_loss: -0.5833 (-0.5838) time: 0.4876 data: 0.0003
[11-24 07:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.32 Lm: 6.638 (6.688) Lt: 5.921 (5.960) Accm: 3.06 (2.83) Acct: 4.65 (4.42) proj_loss: -0.5763 (-0.5713) time: 0.4876 data: 0.0003
[11-24 07:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.32 Lm: 6.634 (6.673) Lt: 5.888 (5.951) Accm: 3.17 (2.93) Acct: 5.06 (4.66) proj_loss: -0.5839 (-0.5857) time: 0.4876 data: 0.0003
[11-24 07:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:06:46 tlr: 0.00016 tnm: 0.32 Lm: 6.744 (6.699) Lt: 6.028 (6.000) Accm: 2.78 (2.81) Acct: 4.13 (4.32) proj_loss: -0.5992 (-0.5994) time: 0.4876 data: 0.0003
[11-24 07:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.36 Lm: 6.669 (6.661) Lt: 5.959 (5.943) Accm: 2.94 (2.98) Acct: 4.49 (4.61) proj_loss: -0.5988 (-0.5944) time: 0.4806 data: 0.0003
[11-24 07:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.36 Lm: 6.666 (6.679) Lt: 5.899 (5.941) Accm: 3.13 (2.97) Acct: 5.05 (4.76) proj_loss: -0.5838 (-0.5822) time: 0.4806 data: 0.0002
[11-24 07:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.36 Lm: 6.660 (6.645) Lt: 5.881 (5.894) Accm: 3.01 (3.03) Acct: 4.75 (4.81) proj_loss: -0.5828 (-0.5801) time: 0.4806 data: 0.0003
[11-24 07:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:03:23 tlr: 0.00016 tnm: 0.36 Lm: 6.619 (6.666) Lt: 5.890 (5.935) Accm: 3.06 (2.89) Acct: 4.78 (4.55) proj_loss: -0.5724 (-0.5706) time: 0.4806 data: 0.0003
[11-24 07:44:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.599 (6.631) Lt: 5.860 (5.900) Accm: 3.07 (2.97) Acct: 4.91 (4.67) proj_loss: -0.5763 (-0.5754) time: 0.5972 data: 0.0017
[11-24 07:44:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:13:46 (0.495 s / it)
[11-24 07:44:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.594 (6.641) Lt: 5.890 (5.922) Accm: 3.10 (3.02) Acct: 4.80 (4.65) proj_loss: -0.5985 (-0.5948) time: 0.5972 data: 0.0016
[11-24 07:44:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.678 (6.679) Lt: 5.909 (5.935) Accm: 3.09 (2.96) Acct: 5.04 (4.74) proj_loss: -0.5838 (-0.5800) time: 0.5972 data: 0.0017
[11-24 07:44:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.34 Lm: 6.653 (6.647) Lt: 5.882 (5.906) Accm: 3.07 (3.11) Acct: 4.84 (4.87) proj_loss: -0.5823 (-0.5789) time: 0.5972 data: 0.0019
[11-24 07:44:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:13:46 (0.495 s / it)
[11-24 07:44:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:13:46 (0.495 s / it)
[11-24 07:44:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:13:46 (0.495 s / it)
[11-24 07:46:11] (home/user/VAR/trainer.py, line 114)=> FID: 4.217758721485723
[11-24 07:46:12] (/home/user/VAR/train.py , line 259)=> [*] [ep139] (val 50000) Lm: 6.6726, Lt: 5.9430, Acc m&t: 2.93 4.62, Val cost: 129.72s
[11-24 07:46:12] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 07:46:26] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.666 (6.673), Lt: 5.936 (5.943), Acc m&t: 2.97 4.67, Remain: 2 days, 0:16:12, Finish: 2024-11-25 16:00
[11-24 07:46:26] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.666 (6.673), Lt: 5.936 (5.943), Acc m&t: 2.97 4.67, Remain: 2 days, 0:15:48, Finish: 2024-11-25 15:59
[11-24 07:46:26] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.666 (6.673), Lt: 5.936 (5.943), Acc m&t: 2.97 4.67, Remain: 2 days, 0:15:38, Finish: 2024-11-25 15:59
[11-24 07:46:26] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.666 (6.673), Lt: 5.936 (5.943), Acc m&t: 2.97 4.67, Remain: 2 days, 0:16:14, Finish: 2024-11-25 16:00
[11-24 07:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:12:47 tlr: 0.00016 tnm: 0.35 Lm: 6.572 (6.572) Lt: 5.790 (5.790) Accm: 3.24 (3.24) Acct: 5.35 (5.35) proj_loss: -0.5844 (-0.5844) time: 0.4599 data: 0.0004
[11-24 07:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:12:57 tlr: 0.00016 tnm: 0.35 Lm: 6.787 (6.787) Lt: 6.119 (6.119) Accm: 2.68 (2.68) Acct: 4.30 (4.30) proj_loss: -0.6007 (-0.6007) time: 0.4659 data: 0.0003
[11-24 07:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:12:48 tlr: 0.00016 tnm: 0.35 Lm: 6.776 (6.776) Lt: 6.008 (6.008) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.5682 (-0.5682) time: 0.4603 data: 0.0004
[11-24 07:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:13:17 tlr: 0.00016 tnm: 0.35 Lm: 6.680 (6.680) Lt: 5.971 (5.971) Accm: 3.02 (3.02) Acct: 4.73 (4.73) proj_loss: -0.5699 (-0.5699) time: 0.4779 data: 0.0004
[11-24 07:49:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:10:24 tlr: 0.00016 tnm: 0.35 Lm: 6.680 (6.680) Lt: 5.983 (5.983) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: -0.5895 (-0.5895) time: 0.5435 data: 0.0003
[11-24 07:49:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:10:24 tlr: 0.00016 tnm: 0.35 Lm: 6.659 (6.659) Lt: 5.909 (5.909) Accm: 2.93 (2.93) Acct: 4.78 (4.78) proj_loss: -0.5709 (-0.5709) time: 0.5435 data: 0.0003
[11-24 07:49:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:10:24 tlr: 0.00016 tnm: 0.35 Lm: 6.757 (6.757) Lt: 6.067 (6.067) Accm: 2.77 (2.77) Acct: 4.29 (4.29) proj_loss: -0.5845 (-0.5845) time: 0.5435 data: 0.0003
[11-24 07:49:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:10:24 tlr: 0.00016 tnm: 0.35 Lm: 6.740 (6.740) Lt: 6.013 (6.013) Accm: 2.74 (2.74) Acct: 4.21 (4.21) proj_loss: -0.5780 (-0.5780) time: 0.5435 data: 0.0003
[11-24 07:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:06:51 tlr: 0.00016 tnm: 0.32 Lm: 6.704 (6.700) Lt: 6.008 (5.957) Accm: 2.90 (2.82) Acct: 4.24 (4.40) proj_loss: -0.5878 (-0.5813) time: 0.4873 data: 0.0002
[11-24 07:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:06:51 tlr: 0.00016 tnm: 0.32 Lm: 6.606 (6.642) Lt: 5.832 (5.883) Accm: 3.24 (3.04) Acct: 5.29 (4.95) proj_loss: -0.5739 (-0.5719) time: 0.4873 data: 0.0003
[11-24 07:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:06:51 tlr: 0.00016 tnm: 0.32 Lm: 6.727 (6.739) Lt: 6.016 (6.027) Accm: 2.86 (2.85) Acct: 4.30 (4.46) proj_loss: -0.5929 (-0.5873) time: 0.4873 data: 0.0002
[11-24 07:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:06:51 tlr: 0.00016 tnm: 0.32 Lm: 6.680 (6.665) Lt: 5.971 (5.965) Accm: 3.02 (2.93) Acct: 4.73 (4.68) proj_loss: -0.6091 (-0.5986) time: 0.4873 data: 0.0003
[11-24 07:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:03:25 tlr: 0.00015 tnm: 0.35 Lm: 6.680 (6.677) Lt: 5.983 (5.984) Accm: 2.99 (2.94) Acct: 4.62 (4.64) proj_loss: -0.6059 (-0.5997) time: 0.4859 data: 0.0003
[11-24 07:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:03:25 tlr: 0.00015 tnm: 0.35 Lm: 6.718 (6.732) Lt: 5.988 (6.010) Accm: 2.86 (2.85) Acct: 4.54 (4.54) proj_loss: -0.5934 (-0.5890) time: 0.4858 data: 0.0002
[11-24 07:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:03:25 tlr: 0.00015 tnm: 0.35 Lm: 6.717 (6.707) Lt: 6.013 (5.975) Accm: 2.83 (2.81) Acct: 4.28 (4.38) proj_loss: -0.5878 (-0.5847) time: 0.4859 data: 0.0003
[11-24 07:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:03:25 tlr: 0.00015 tnm: 0.35 Lm: 6.663 (6.661) Lt: 5.909 (5.909) Accm: 3.00 (2.97) Acct: 4.80 (4.79) proj_loss: -0.5791 (-0.5750) time: 0.4859 data: 0.0003
[11-24 08:00:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.611 (6.651) Lt: 5.868 (5.901) Accm: 3.13 (3.00) Acct: 4.87 (4.81) proj_loss: -0.5813 (-0.5763) time: 0.4880 data: 0.0020
[11-24 08:00:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:13:37 (0.490 s / it)
[11-24 08:00:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.709 (6.715) Lt: 5.960 (5.992) Accm: 2.86 (2.92) Acct: 4.77 (4.64) proj_loss: -0.5929 (-0.5820) time: 0.4880 data: 0.0017
[11-24 08:00:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.680 (6.688) Lt: 5.979 (5.983) Accm: 2.96 (2.91) Acct: 4.63 (4.63) proj_loss: -0.6027 (-0.5973) time: 0.4880 data: 0.0020
[11-24 08:00:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.704 (6.704) Lt: 6.008 (5.976) Accm: 2.80 (2.80) Acct: 4.32 (4.41) proj_loss: -0.5878 (-0.5859) time: 0.4880 data: 0.0016
[11-24 08:00:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:13:37 (0.490 s / it)
[11-24 08:00:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:13:37 (0.490 s / it)
[11-24 08:00:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:13:37 (0.490 s / it)
[11-24 08:00:03] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.666 (6.679), Lt: 5.936 (5.948), Acc m&t: 2.97 4.67, Remain: 1 day, 23:54:14, Finish: 2024-11-25 15:54
[11-24 08:00:03] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.666 (6.679), Lt: 5.936 (5.948), Acc m&t: 2.97 4.67, Remain: 1 day, 23:53:47, Finish: 2024-11-25 15:53
[11-24 08:00:03] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.666 (6.679), Lt: 5.936 (5.948), Acc m&t: 2.97 4.67, Remain: 1 day, 23:54:41, Finish: 2024-11-25 15:54
[11-24 08:00:03] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.666 (6.679), Lt: 5.936 (5.948), Acc m&t: 2.97 4.67, Remain: 1 day, 23:53:59, Finish: 2024-11-25 15:54
[11-24 08:00:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:13:07 tlr: 0.00015 tnm: 0.38 Lm: 6.629 (6.629) Lt: 5.846 (5.846) Accm: 3.02 (3.02) Acct: 5.04 (5.04) proj_loss: -0.6002 (-0.6002) time: 0.4717 data: 0.0003
[11-24 08:00:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:13:35 tlr: 0.00015 tnm: 0.38 Lm: 6.647 (6.647) Lt: 5.838 (5.838) Accm: 3.28 (3.28) Acct: 5.58 (5.58) proj_loss: -0.5656 (-0.5656) time: 0.4884 data: 0.0004
[11-24 08:00:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:13:08 tlr: 0.00015 tnm: 0.38 Lm: 6.765 (6.765) Lt: 6.023 (6.023) Accm: 2.67 (2.67) Acct: 4.39 (4.39) proj_loss: -0.5715 (-0.5715) time: 0.4722 data: 0.0004
[11-24 08:00:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:13:08 tlr: 0.00015 tnm: 0.38 Lm: 6.619 (6.619) Lt: 5.914 (5.914) Accm: 2.99 (2.99) Acct: 4.60 (4.60) proj_loss: -0.5859 (-0.5859) time: 0.4723 data: 0.0003
[11-24 08:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:10:12 tlr: 0.00015 tnm: 0.34 Lm: 6.673 (6.673) Lt: 5.952 (5.952) Accm: 2.84 (2.84) Acct: 4.39 (4.39) proj_loss: -0.5813 (-0.5813) time: 0.5378 data: 0.0002
[11-24 08:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:10:12 tlr: 0.00015 tnm: 0.34 Lm: 6.685 (6.685) Lt: 5.911 (5.911) Accm: 3.02 (3.02) Acct: 5.04 (5.04) proj_loss: -0.5727 (-0.5727) time: 0.5379 data: 0.0003
[11-24 08:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:10:12 tlr: 0.00015 tnm: 0.34 Lm: 6.746 (6.746) Lt: 6.018 (6.018) Accm: 2.69 (2.69) Acct: 4.27 (4.27) proj_loss: -0.5756 (-0.5756) time: 0.5379 data: 0.0003
[11-24 08:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:10:12 tlr: 0.00015 tnm: 0.34 Lm: 6.634 (6.634) Lt: 5.857 (5.857) Accm: 2.97 (2.97) Acct: 4.78 (4.78) proj_loss: -0.5950 (-0.5950) time: 0.5379 data: 0.0003
[11-24 08:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:06:50 tlr: 0.00015 tnm: 0.34 Lm: 6.640 (6.666) Lt: 5.869 (5.924) Accm: 3.02 (2.99) Acct: 4.51 (4.59) proj_loss: -0.5898 (-0.5873) time: 0.4879 data: 0.0003
[11-24 08:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:06:50 tlr: 0.00015 tnm: 0.34 Lm: 6.723 (6.709) Lt: 5.981 (5.934) Accm: 2.91 (2.98) Acct: 4.72 (4.93) proj_loss: -0.5656 (-0.5649) time: 0.4879 data: 0.0002
[11-24 08:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:06:50 tlr: 0.00015 tnm: 0.34 Lm: 6.727 (6.707) Lt: 6.013 (5.963) Accm: 2.71 (2.90) Acct: 4.39 (4.73) proj_loss: -0.5715 (-0.5733) time: 0.4879 data: 0.0003
[11-24 08:06:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:06:50 tlr: 0.00015 tnm: 0.34 Lm: 6.656 (6.667) Lt: 5.914 (5.927) Accm: 2.92 (2.87) Acct: 4.60 (4.49) proj_loss: -0.5768 (-0.5743) time: 0.4879 data: 0.0003
[11-24 08:10:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:03:29 tlr: 0.00015 tnm: 0.36 Lm: 6.691 (6.682) Lt: 5.952 (5.953) Accm: 2.81 (2.77) Acct: 4.39 (4.39) proj_loss: -0.5813 (-0.5806) time: 0.4850 data: 0.0003
[11-24 08:10:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:03:29 tlr: 0.00015 tnm: 0.36 Lm: 6.746 (6.727) Lt: 6.018 (5.996) Accm: 2.70 (2.85) Acct: 4.30 (4.60) proj_loss: -0.5740 (-0.5741) time: 0.4849 data: 0.0003
[11-24 08:10:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:03:29 tlr: 0.00015 tnm: 0.36 Lm: 6.685 (6.657) Lt: 5.909 (5.890) Accm: 3.07 (3.04) Acct: 4.93 (4.98) proj_loss: -0.5727 (-0.5702) time: 0.4850 data: 0.0003
[11-24 08:10:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:03:29 tlr: 0.00015 tnm: 0.36 Lm: 6.634 (6.627) Lt: 5.857 (5.876) Accm: 3.03 (3.12) Acct: 4.78 (4.85) proj_loss: -0.5815 (-0.5838) time: 0.4850 data: 0.0003
[11-24 08:13:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.32 Lm: 6.629 (6.626) Lt: 5.866 (5.874) Accm: 3.04 (3.11) Acct: 5.04 (4.92) proj_loss: -0.5733 (-0.5803) time: 0.4907 data: 0.0013
[11-24 08:13:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:13:50 (0.498 s / it)
[11-24 08:13:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.32 Lm: 6.765 (6.742) Lt: 6.023 (6.031) Accm: 2.68 (2.74) Acct: 4.22 (4.40) proj_loss: -0.5765 (-0.5785) time: 0.4907 data: 0.0018
[11-24 08:13:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.32 Lm: 6.647 (6.645) Lt: 5.838 (5.877) Accm: 3.04 (3.04) Acct: 5.06 (5.00) proj_loss: -0.5714 (-0.5704) time: 0.4907 data: 0.0018
[11-24 08:13:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.32 Lm: 6.705 (6.687) Lt: 5.982 (5.959) Accm: 2.92 (2.81) Acct: 4.60 (4.49) proj_loss: -0.5768 (-0.5781) time: 0.4907 data: 0.0019
[11-24 08:13:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:13:50 (0.498 s / it)
[11-24 08:13:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:13:50 (0.498 s / it)
[11-24 08:13:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:13:50 (0.498 s / it)
[11-24 08:13:54] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.666 (6.674), Lt: 5.936 (5.947), Acc m&t: 2.97 4.67, Remain: 1 day, 23:48:46, Finish: 2024-11-25 16:02
[11-24 08:13:54] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.666 (6.674), Lt: 5.936 (5.947), Acc m&t: 2.97 4.67, Remain: 1 day, 23:47:54, Finish: 2024-11-25 16:01
[11-24 08:13:54] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.666 (6.674), Lt: 5.936 (5.947), Acc m&t: 2.97 4.67, Remain: 1 day, 23:48:07, Finish: 2024-11-25 16:02
[11-24 08:13:54] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.666 (6.674), Lt: 5.936 (5.947), Acc m&t: 2.97 4.67, Remain: 1 day, 23:48:00, Finish: 2024-11-25 16:01
[11-24 08:13:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:13:43 tlr: 0.00015 tnm: 0.32 Lm: 6.664 (6.664) Lt: 5.954 (5.954) Accm: 2.87 (2.87) Acct: 4.58 (4.58) proj_loss: -0.5906 (-0.5906) time: 0.4933 data: 0.0003
[11-24 08:13:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:13:43 tlr: 0.00015 tnm: 0.32 Lm: 6.642 (6.642) Lt: 5.926 (5.926) Accm: 3.23 (3.23) Acct: 4.92 (4.92) proj_loss: -0.5741 (-0.5741) time: 0.4933 data: 0.0004
[11-24 08:13:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:13:43 tlr: 0.00015 tnm: 0.32 Lm: 6.468 (6.468) Lt: 5.731 (5.731) Accm: 3.51 (3.51) Acct: 5.27 (5.27) proj_loss: -0.5824 (-0.5824) time: 0.4934 data: 0.0004
[11-24 08:13:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:13:44 tlr: 0.00015 tnm: 0.32 Lm: 6.675 (6.675) Lt: 5.917 (5.917) Accm: 3.08 (3.08) Acct: 5.03 (5.03) proj_loss: -0.6048 (-0.6048) time: 0.4937 data: 0.0004
[11-24 08:17:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:10:10 tlr: 0.00015 tnm: 0.36 Lm: 6.684 (6.684) Lt: 5.933 (5.933) Accm: 3.00 (3.00) Acct: 4.86 (4.86) proj_loss: -0.5977 (-0.5977) time: 0.4885 data: 0.0003
[11-24 08:17:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:10:10 tlr: 0.00015 tnm: 0.36 Lm: 6.624 (6.624) Lt: 5.868 (5.868) Accm: 3.29 (3.29) Acct: 5.15 (5.15) proj_loss: -0.5722 (-0.5722) time: 0.4885 data: 0.0002
[11-24 08:17:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:10:10 tlr: 0.00015 tnm: 0.36 Lm: 6.567 (6.567) Lt: 5.846 (5.846) Accm: 3.31 (3.31) Acct: 5.15 (5.15) proj_loss: -0.5841 (-0.5841) time: 0.4885 data: 0.0002
[11-24 08:17:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:10:10 tlr: 0.00015 tnm: 0.36 Lm: 6.654 (6.654) Lt: 5.932 (5.932) Accm: 2.81 (2.81) Acct: 4.45 (4.45) proj_loss: -0.5915 (-0.5915) time: 0.4885 data: 0.0003
[11-24 08:20:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.36 Lm: 6.664 (6.710) Lt: 5.954 (5.990) Accm: 2.75 (2.71) Acct: 4.32 (4.28) proj_loss: -0.5915 (-0.5915) time: 0.4889 data: 0.0003
[11-24 08:20:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.36 Lm: 6.642 (6.659) Lt: 5.926 (5.916) Accm: 3.23 (3.14) Acct: 4.92 (4.95) proj_loss: -0.5704 (-0.5714) time: 0.4889 data: 0.0002
[11-24 08:20:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.36 Lm: 6.666 (6.621) Lt: 5.961 (5.909) Accm: 3.10 (3.13) Acct: 5.03 (4.79) proj_loss: -0.5858 (-0.5881) time: 0.4889 data: 0.0003
[11-24 08:20:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.36 Lm: 6.694 (6.690) Lt: 5.949 (5.944) Accm: 2.93 (2.97) Acct: 4.70 (4.73) proj_loss: -0.5906 (-0.5890) time: 0.4889 data: 0.0003
[11-24 08:24:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.35 Lm: 6.698 (6.716) Lt: 5.958 (5.980) Accm: 2.92 (2.91) Acct: 4.59 (4.66) proj_loss: -0.5812 (-0.5833) time: 0.4882 data: 0.0003
[11-24 08:24:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.35 Lm: 6.645 (6.656) Lt: 5.919 (5.915) Accm: 3.04 (3.07) Acct: 4.79 (4.87) proj_loss: -0.5722 (-0.5761) time: 0.4882 data: 0.0003
[11-24 08:24:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.35 Lm: 6.686 (6.710) Lt: 5.968 (5.988) Accm: 2.81 (2.76) Acct: 4.44 (4.35) proj_loss: -0.5911 (-0.5851) time: 0.4882 data: 0.0003
[11-24 08:24:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.35 Lm: 6.657 (6.628) Lt: 5.945 (5.914) Accm: 3.08 (3.11) Acct: 4.92 (4.80) proj_loss: -0.5859 (-0.5876) time: 0.4882 data: 0.0003
[11-24 08:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.33 Lm: 6.649 (6.611) Lt: 5.930 (5.898) Accm: 3.09 (3.11) Acct: 4.87 (4.81) proj_loss: -0.5860 (-0.5890) time: 0.4904 data: 0.0019
[11-24 08:27:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:13:47 (0.496 s / it)
[11-24 08:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.33 Lm: 6.649 (6.667) Lt: 5.926 (5.933) Accm: 2.92 (3.04) Acct: 4.65 (4.81) proj_loss: -0.5741 (-0.5769) time: 0.4904 data: 0.0018
[11-24 08:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.33 Lm: 6.694 (6.695) Lt: 5.949 (5.952) Accm: 2.93 (2.99) Acct: 4.70 (4.76) proj_loss: -0.5906 (-0.5851) time: 0.4904 data: 0.0022
[11-24 08:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.33 Lm: 6.707 (6.720) Lt: 5.981 (5.997) Accm: 2.75 (2.75) Acct: 4.32 (4.32) proj_loss: -0.5906 (-0.5857) time: 0.4904 data: 0.0019
[11-24 08:27:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:13:47 (0.496 s / it)
[11-24 08:27:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:13:47 (0.496 s / it)
[11-24 08:27:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:13:47 (0.496 s / it)
[11-24 08:27:42] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.666 (6.689), Lt: 5.936 (5.962), Acc m&t: 2.97 4.67, Remain: 1 day, 23:38:32, Finish: 2024-11-25 16:06
[11-24 08:27:42] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.666 (6.689), Lt: 5.936 (5.962), Acc m&t: 2.97 4.67, Remain: 1 day, 23:38:36, Finish: 2024-11-25 16:06
[11-24 08:27:42] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.666 (6.689), Lt: 5.936 (5.962), Acc m&t: 2.97 4.67, Remain: 1 day, 23:38:55, Finish: 2024-11-25 16:06
[11-24 08:27:42] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.666 (6.689), Lt: 5.936 (5.962), Acc m&t: 2.97 4.67, Remain: 1 day, 23:38:38, Finish: 2024-11-25 16:06
[11-24 08:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:13:22 tlr: 0.00015 tnm: 0.37 Lm: 6.702 (6.702) Lt: 5.876 (5.876) Accm: 2.88 (2.88) Acct: 4.68 (4.68) proj_loss: -0.5778 (-0.5778) time: 0.4810 data: 0.0004
[11-24 08:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:13:23 tlr: 0.00015 tnm: 0.37 Lm: 6.763 (6.763) Lt: 6.012 (6.012) Accm: 2.80 (2.80) Acct: 4.75 (4.75) proj_loss: -0.5661 (-0.5661) time: 0.4812 data: 0.0004
[11-24 08:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:13:22 tlr: 0.00015 tnm: 0.37 Lm: 6.698 (6.698) Lt: 5.926 (5.926) Accm: 3.13 (3.13) Acct: 5.17 (5.17) proj_loss: -0.5742 (-0.5742) time: 0.4809 data: 0.0004
[11-24 08:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:13:22 tlr: 0.00015 tnm: 0.37 Lm: 6.898 (6.898) Lt: 6.170 (6.170) Accm: 2.49 (2.49) Acct: 4.01 (4.01) proj_loss: -0.5785 (-0.5785) time: 0.4811 data: 0.0004
[11-24 08:31:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:10:19 tlr: 0.00015 tnm: 0.37 Lm: 6.823 (6.823) Lt: 6.105 (6.105) Accm: 2.56 (2.56) Acct: 4.13 (4.13) proj_loss: -0.5881 (-0.5881) time: 0.4896 data: 0.0003
[11-24 08:31:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:10:19 tlr: 0.00015 tnm: 0.37 Lm: 6.710 (6.710) Lt: 5.970 (5.970) Accm: 3.15 (3.15) Acct: 5.11 (5.11) proj_loss: -0.5778 (-0.5778) time: 0.4896 data: 0.0003
[11-24 08:31:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:10:19 tlr: 0.00015 tnm: 0.37 Lm: 6.763 (6.763) Lt: 5.985 (5.985) Accm: 2.80 (2.80) Acct: 4.64 (4.64) proj_loss: -0.5877 (-0.5877) time: 0.4896 data: 0.0003
[11-24 08:31:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:10:19 tlr: 0.00015 tnm: 0.37 Lm: 6.713 (6.713) Lt: 5.953 (5.953) Accm: 2.84 (2.84) Acct: 4.61 (4.61) proj_loss: -0.5762 (-0.5762) time: 0.4896 data: 0.0003
[11-24 08:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:06:50 tlr: 0.00015 tnm: 0.34 Lm: 6.662 (6.608) Lt: 5.895 (5.853) Accm: 2.88 (3.22) Acct: 4.75 (5.19) proj_loss: -0.5783 (-0.5769) time: 0.4881 data: 0.0003
[11-24 08:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:06:50 tlr: 0.00015 tnm: 0.34 Lm: 6.747 (6.758) Lt: 6.039 (6.051) Accm: 2.62 (2.66) Acct: 4.25 (4.22) proj_loss: -0.5785 (-0.5849) time: 0.4881 data: 0.0002
[11-24 08:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:06:50 tlr: 0.00015 tnm: 0.34 Lm: 6.721 (6.715) Lt: 5.993 (5.978) Accm: 3.13 (3.05) Acct: 5.06 (4.91) proj_loss: -0.5814 (-0.5823) time: 0.4880 data: 0.0003
[11-24 08:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:06:50 tlr: 0.00015 tnm: 0.34 Lm: 6.702 (6.700) Lt: 5.876 (5.943) Accm: 2.88 (2.95) Acct: 4.68 (4.80) proj_loss: -0.5851 (-0.5868) time: 0.4881 data: 0.0003
[11-24 08:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.34 Lm: 6.698 (6.699) Lt: 5.887 (5.932) Accm: 2.94 (2.96) Acct: 4.69 (4.78) proj_loss: -0.5815 (-0.5835) time: 0.4886 data: 0.0003
[11-24 08:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.34 Lm: 6.819 (6.791) Lt: 6.093 (6.075) Accm: 2.56 (2.62) Acct: 4.15 (4.18) proj_loss: -0.5785 (-0.5820) time: 0.4886 data: 0.0003
[11-24 08:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.34 Lm: 6.694 (6.637) Lt: 5.941 (5.887) Accm: 2.87 (3.13) Acct: 4.61 (4.98) proj_loss: -0.5764 (-0.5763) time: 0.4886 data: 0.0003
[11-24 08:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.34 Lm: 6.710 (6.661) Lt: 5.959 (5.922) Accm: 3.15 (3.16) Acct: 5.11 (5.08) proj_loss: -0.5785 (-0.5806) time: 0.4886 data: 0.0003
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.698 (6.652) Lt: 5.930 (5.923) Accm: 3.13 (3.12) Acct: 5.06 (4.90) proj_loss: -0.5814 (-0.5824) time: 0.4857 data: 0.0015
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:13:36 (0.489 s / it)
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.747 (6.739) Lt: 6.039 (6.018) Accm: 2.62 (2.80) Acct: 4.25 (4.46) proj_loss: -0.5785 (-0.5840) time: 0.4857 data: 0.0017
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.694 (6.683) Lt: 5.892 (5.924) Accm: 2.99 (3.01) Acct: 4.70 (4.84) proj_loss: -0.5778 (-0.5816) time: 0.4857 data: 0.0017
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.692 (6.648) Lt: 5.959 (5.902) Accm: 2.88 (3.09) Acct: 4.70 (4.92) proj_loss: -0.5783 (-0.5808) time: 0.4857 data: 0.0015
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:13:36 (0.489 s / it)
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:13:36 (0.489 s / it)
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:13:36 (0.489 s / it)
[11-24 08:41:19] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.666 (6.680), Lt: 5.936 (5.949), Acc m&t: 2.97 4.67, Remain: 1 day, 23:04:02, Finish: 2024-11-25 15:45
[11-24 08:41:19] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.666 (6.680), Lt: 5.936 (5.949), Acc m&t: 2.97 4.67, Remain: 1 day, 23:04:05, Finish: 2024-11-25 15:45
[11-24 08:41:19] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.666 (6.680), Lt: 5.936 (5.949), Acc m&t: 2.97 4.67, Remain: 1 day, 23:04:30, Finish: 2024-11-25 15:45
[11-24 08:41:19] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.666 (6.680), Lt: 5.936 (5.949), Acc m&t: 2.97 4.67, Remain: 1 day, 23:04:07, Finish: 2024-11-25 15:45
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:12:51 tlr: 0.00015 tnm: 0.34 Lm: 6.760 (6.760) Lt: 6.119 (6.119) Accm: 2.64 (2.64) Acct: 4.05 (4.05) proj_loss: -0.5875 (-0.5875) time: 0.4620 data: 0.0004
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:12:51 tlr: 0.00015 tnm: 0.34 Lm: 6.602 (6.602) Lt: 5.878 (5.878) Accm: 2.98 (2.98) Acct: 4.46 (4.46) proj_loss: -0.5921 (-0.5921) time: 0.4620 data: 0.0003
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:12:51 tlr: 0.00015 tnm: 0.34 Lm: 6.681 (6.681) Lt: 5.917 (5.917) Accm: 2.89 (2.89) Acct: 4.89 (4.89) proj_loss: -0.5745 (-0.5745) time: 0.4623 data: 0.0003
[11-24 08:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:12:51 tlr: 0.00015 tnm: 0.34 Lm: 6.661 (6.661) Lt: 5.875 (5.875) Accm: 3.06 (3.06) Acct: 5.29 (5.29) proj_loss: -0.5836 (-0.5836) time: 0.4622 data: 0.0004
[11-24 08:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:10:23 tlr: 0.00015 tnm: 0.36 Lm: 6.599 (6.599) Lt: 5.813 (5.813) Accm: 3.23 (3.23) Acct: 5.41 (5.41) proj_loss: -0.5883 (-0.5883) time: 0.4866 data: 0.0003
[11-24 08:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:10:23 tlr: 0.00015 tnm: 0.36 Lm: 6.590 (6.590) Lt: 5.831 (5.831) Accm: 3.10 (3.10) Acct: 4.80 (4.80) proj_loss: -0.5860 (-0.5860) time: 0.4865 data: 0.0003
[11-24 08:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:10:23 tlr: 0.00015 tnm: 0.36 Lm: 6.664 (6.664) Lt: 5.885 (5.885) Accm: 2.81 (2.81) Acct: 4.72 (4.72) proj_loss: -0.5843 (-0.5843) time: 0.4866 data: 0.0003
[11-24 08:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:10:23 tlr: 0.00015 tnm: 0.36 Lm: 6.654 (6.654) Lt: 5.976 (5.976) Accm: 2.82 (2.82) Acct: 4.45 (4.45) proj_loss: -0.5993 (-0.5993) time: 0.4866 data: 0.0003
[11-24 08:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:06:52 tlr: 0.00015 tnm: 0.36 Lm: 6.687 (6.665) Lt: 5.970 (5.974) Accm: 2.94 (2.86) Acct: 4.49 (4.47) proj_loss: -0.5890 (-0.5959) time: 0.4853 data: 0.0003
[11-24 08:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:06:52 tlr: 0.00015 tnm: 0.36 Lm: 6.602 (6.622) Lt: 5.878 (5.881) Accm: 3.16 (3.12) Acct: 4.73 (4.78) proj_loss: -0.5921 (-0.5887) time: 0.4853 data: 0.0003
[11-24 08:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:06:52 tlr: 0.00015 tnm: 0.36 Lm: 6.648 (6.637) Lt: 5.854 (5.863) Accm: 2.89 (2.98) Acct: 4.89 (4.89) proj_loss: -0.5830 (-0.5838) time: 0.4853 data: 0.0003
[11-24 08:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:06:52 tlr: 0.00015 tnm: 0.36 Lm: 6.661 (6.631) Lt: 5.875 (5.868) Accm: 3.06 (3.04) Acct: 5.29 (4.97) proj_loss: -0.5930 (-0.5921) time: 0.4853 data: 0.0003
[11-24 08:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.37 Lm: 6.633 (6.624) Lt: 5.856 (5.860) Accm: 3.14 (3.09) Acct: 5.26 (5.04) proj_loss: -0.5883 (-0.5898) time: 0.4893 data: 0.0003
[11-24 08:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.37 Lm: 6.590 (6.610) Lt: 5.862 (5.872) Accm: 3.19 (3.17) Acct: 4.88 (4.84) proj_loss: -0.5860 (-0.5860) time: 0.4893 data: 0.0003
[11-24 08:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.37 Lm: 6.619 (6.637) Lt: 5.902 (5.925) Accm: 2.97 (2.95) Acct: 4.67 (4.65) proj_loss: -0.5882 (-0.5899) time: 0.4893 data: 0.0003
[11-24 08:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.37 Lm: 6.658 (6.645) Lt: 5.885 (5.889) Accm: 2.98 (3.00) Acct: 4.87 (4.88) proj_loss: -0.5823 (-0.5833) time: 0.4893 data: 0.0003
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.667 (6.662) Lt: 5.917 (5.903) Accm: 2.89 (2.94) Acct: 4.86 (4.78) proj_loss: -0.5816 (-0.5814) time: 0.4906 data: 0.0016
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:13:53 (0.500 s / it)
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.602 (6.618) Lt: 5.878 (5.874) Accm: 3.16 (3.11) Acct: 4.73 (4.78) proj_loss: -0.5799 (-0.5832) time: 0.4906 data: 0.0020
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.687 (6.661) Lt: 5.970 (5.941) Accm: 2.94 (2.94) Acct: 4.73 (4.67) proj_loss: -0.5875 (-0.5882) time: 0.4906 data: 0.0015
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.661 (6.654) Lt: 5.875 (5.899) Accm: 3.06 (3.00) Acct: 5.23 (4.84) proj_loss: -0.5930 (-0.5936) time: 0.4906 data: 0.0013
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:13:53 (0.500 s / it)
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:13:53 (0.500 s / it)
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:13:53 (0.500 s / it)
[11-24 08:55:13] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.666 (6.677), Lt: 5.936 (5.945), Acc m&t: 2.97 4.67, Remain: 1 day, 23:14:27, Finish: 2024-11-25 16:09
[11-24 08:55:13] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.666 (6.677), Lt: 5.936 (5.945), Acc m&t: 2.97 4.67, Remain: 1 day, 23:12:41, Finish: 2024-11-25 16:07
[11-24 08:55:13] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.666 (6.677), Lt: 5.936 (5.945), Acc m&t: 2.97 4.67, Remain: 1 day, 23:12:23, Finish: 2024-11-25 16:07
[11-24 08:55:13] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.666 (6.677), Lt: 5.936 (5.945), Acc m&t: 2.97 4.67, Remain: 1 day, 23:13:34, Finish: 2024-11-25 16:08
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:13:09 tlr: 0.00015 tnm: 0.34 Lm: 6.526 (6.526) Lt: 5.739 (5.739) Accm: 3.38 (3.38) Acct: 5.22 (5.22) proj_loss: -0.5834 (-0.5834) time: 0.4731 data: 0.0004
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:13:09 tlr: 0.00015 tnm: 0.34 Lm: 6.842 (6.842) Lt: 6.147 (6.147) Accm: 2.48 (2.48) Acct: 3.65 (3.65) proj_loss: -0.5721 (-0.5721) time: 0.4733 data: 0.0004
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:13:10 tlr: 0.00015 tnm: 0.34 Lm: 6.677 (6.677) Lt: 5.961 (5.961) Accm: 2.71 (2.71) Acct: 4.29 (4.29) proj_loss: -0.5948 (-0.5948) time: 0.4736 data: 0.0004
[11-24 08:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:13:11 tlr: 0.00015 tnm: 0.34 Lm: 6.570 (6.570) Lt: 5.821 (5.821) Accm: 2.87 (2.87) Acct: 4.42 (4.42) proj_loss: -0.5787 (-0.5787) time: 0.4741 data: 0.0004
[11-24 08:58:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:10:09 tlr: 0.00015 tnm: 0.35 Lm: 6.703 (6.703) Lt: 5.969 (5.969) Accm: 2.66 (2.66) Acct: 4.22 (4.22) proj_loss: -0.5754 (-0.5754) time: 0.4904 data: 0.0003
[11-24 08:58:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:10:09 tlr: 0.00015 tnm: 0.35 Lm: 6.782 (6.782) Lt: 6.095 (6.095) Accm: 2.54 (2.54) Acct: 3.81 (3.81) proj_loss: -0.5821 (-0.5821) time: 0.4904 data: 0.0003
[11-24 08:58:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:10:09 tlr: 0.00015 tnm: 0.35 Lm: 6.683 (6.683) Lt: 5.949 (5.949) Accm: 2.92 (2.92) Acct: 4.61 (4.61) proj_loss: -0.5905 (-0.5905) time: 0.4904 data: 0.0003
[11-24 08:58:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:10:09 tlr: 0.00015 tnm: 0.35 Lm: 6.635 (6.635) Lt: 5.883 (5.883) Accm: 3.07 (3.07) Acct: 4.67 (4.67) proj_loss: -0.5870 (-0.5870) time: 0.4904 data: 0.0003
[11-24 09:01:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.33 Lm: 6.710 (6.660) Lt: 6.003 (5.923) Accm: 2.79 (2.98) Acct: 4.41 (4.59) proj_loss: -0.5834 (-0.5824) time: 0.4882 data: 0.0003
[11-24 09:01:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.33 Lm: 6.725 (6.763) Lt: 6.044 (6.042) Accm: 2.61 (2.65) Acct: 3.98 (4.13) proj_loss: -0.5721 (-0.5787) time: 0.4882 data: 0.0003
[11-24 09:01:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.33 Lm: 6.770 (6.725) Lt: 6.043 (5.994) Accm: 2.62 (2.65) Acct: 4.12 (4.18) proj_loss: -0.5787 (-0.5778) time: 0.4882 data: 0.0003
[11-24 09:01:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.33 Lm: 6.677 (6.660) Lt: 5.937 (5.934) Accm: 2.87 (2.90) Acct: 4.58 (4.60) proj_loss: -0.5861 (-0.5847) time: 0.4882 data: 0.0003
[11-24 09:05:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.36 Lm: 6.658 (6.655) Lt: 5.932 (5.932) Accm: 2.85 (2.89) Acct: 4.48 (4.55) proj_loss: -0.5899 (-0.5869) time: 0.4856 data: 0.0003
[11-24 09:05:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.36 Lm: 6.738 (6.760) Lt: 6.050 (6.045) Accm: 2.60 (2.64) Acct: 4.05 (4.13) proj_loss: -0.5721 (-0.5721) time: 0.4856 data: 0.0003
[11-24 09:05:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.36 Lm: 6.618 (6.595) Lt: 5.871 (5.848) Accm: 3.08 (3.17) Acct: 4.81 (4.85) proj_loss: -0.5862 (-0.5840) time: 0.4856 data: 0.0003
[11-24 09:05:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.36 Lm: 6.769 (6.736) Lt: 6.038 (6.004) Accm: 2.71 (2.68) Acct: 4.27 (4.26) proj_loss: -0.5754 (-0.5727) time: 0.4856 data: 0.0003
[11-24 09:09:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.33 Lm: 6.768 (6.695) Lt: 6.033 (5.962) Accm: 2.79 (2.80) Acct: 4.42 (4.45) proj_loss: -0.5721 (-0.5714) time: 0.4915 data: 0.0016
[11-24 09:09:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:13:50 (0.498 s / it)
[11-24 09:09:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.33 Lm: 6.750 (6.787) Lt: 6.055 (6.078) Accm: 2.59 (2.55) Acct: 3.98 (3.97) proj_loss: -0.5721 (-0.5724) time: 0.4915 data: 0.0019
[11-24 09:09:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.33 Lm: 6.639 (6.642) Lt: 5.927 (5.915) Accm: 2.87 (2.95) Acct: 4.58 (4.66) proj_loss: -0.5879 (-0.5871) time: 0.4915 data: 0.0016
[11-24 09:09:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.33 Lm: 6.693 (6.615) Lt: 6.000 (5.879) Accm: 2.79 (3.04) Acct: 4.41 (4.68) proj_loss: -0.5891 (-0.5888) time: 0.4915 data: 0.0019
[11-24 09:09:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:13:50 (0.498 s / it)
[11-24 09:09:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:13:50 (0.498 s / it)
[11-24 09:09:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:13:50 (0.498 s / it)
[11-24 09:09:03] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.666 (6.687), Lt: 5.936 (5.960), Acc m&t: 2.97 4.67, Remain: 1 day, 22:53:15, Finish: 2024-11-25 16:02
[11-24 09:09:03] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.666 (6.687), Lt: 5.936 (5.960), Acc m&t: 2.97 4.67, Remain: 1 day, 22:55:27, Finish: 2024-11-25 16:04
[11-24 09:09:03] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.666 (6.687), Lt: 5.936 (5.960), Acc m&t: 2.97 4.67, Remain: 1 day, 22:54:17, Finish: 2024-11-25 16:03
[11-24 09:09:03] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.666 (6.687), Lt: 5.936 (5.960), Acc m&t: 2.97 4.67, Remain: 1 day, 22:53:37, Finish: 2024-11-25 16:02
[11-24 09:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:13:02 tlr: 0.00015 tnm: 0.34 Lm: 6.712 (6.712) Lt: 5.990 (5.990) Accm: 2.83 (2.83) Acct: 4.15 (4.15) proj_loss: -0.5694 (-0.5694) time: 0.4688 data: 0.0003
[11-24 09:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:13:02 tlr: 0.00015 tnm: 0.34 Lm: 6.703 (6.703) Lt: 6.036 (6.036) Accm: 3.00 (3.00) Acct: 4.55 (4.55) proj_loss: -0.5803 (-0.5803) time: 0.4688 data: 0.0002
[11-24 09:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:12:55 tlr: 0.00015 tnm: 0.34 Lm: 6.573 (6.573) Lt: 5.853 (5.853) Accm: 3.19 (3.19) Acct: 5.15 (5.15) proj_loss: -0.5900 (-0.5900) time: 0.4646 data: 0.0003
[11-24 09:09:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:12:55 tlr: 0.00015 tnm: 0.34 Lm: 6.695 (6.695) Lt: 5.956 (5.956) Accm: 2.98 (2.98) Acct: 4.70 (4.70) proj_loss: -0.5847 (-0.5847) time: 0.4647 data: 0.0004
[11-24 09:12:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:10:17 tlr: 0.00015 tnm: 0.36 Lm: 6.669 (6.669) Lt: 5.922 (5.922) Accm: 3.09 (3.09) Acct: 4.86 (4.86) proj_loss: -0.5740 (-0.5740) time: 0.4923 data: 0.0003
[11-24 09:12:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:10:17 tlr: 0.00015 tnm: 0.36 Lm: 6.558 (6.558) Lt: 5.834 (5.834) Accm: 3.36 (3.36) Acct: 5.24 (5.24) proj_loss: -0.5770 (-0.5770) time: 0.4923 data: 0.0002
[11-24 09:12:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:10:17 tlr: 0.00015 tnm: 0.36 Lm: 6.697 (6.697) Lt: 5.968 (5.968) Accm: 2.86 (2.86) Acct: 4.35 (4.35) proj_loss: -0.5754 (-0.5754) time: 0.4923 data: 0.0003
[11-24 09:12:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:10:17 tlr: 0.00015 tnm: 0.36 Lm: 6.655 (6.655) Lt: 5.950 (5.950) Accm: 2.95 (2.95) Acct: 4.75 (4.75) proj_loss: -0.5998 (-0.5998) time: 0.4923 data: 0.0003
[11-24 09:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:06:49 tlr: 0.00015 tnm: 0.36 Lm: 6.738 (6.688) Lt: 6.047 (5.984) Accm: 2.82 (2.91) Acct: 4.36 (4.57) proj_loss: -0.5900 (-0.5915) time: 0.4885 data: 0.0003
[11-24 09:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:06:49 tlr: 0.00015 tnm: 0.36 Lm: 6.644 (6.587) Lt: 5.932 (5.867) Accm: 3.02 (3.25) Acct: 4.55 (5.01) proj_loss: -0.5737 (-0.5729) time: 0.4885 data: 0.0003
[11-24 09:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:06:49 tlr: 0.00015 tnm: 0.36 Lm: 6.712 (6.743) Lt: 5.990 (6.017) Accm: 2.83 (2.73) Acct: 4.15 (4.26) proj_loss: -0.5814 (-0.5803) time: 0.4885 data: 0.0003
[11-24 09:15:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:06:49 tlr: 0.00015 tnm: 0.36 Lm: 6.644 (6.633) Lt: 5.889 (5.885) Accm: 3.21 (3.15) Acct: 5.01 (4.96) proj_loss: -0.5847 (-0.5781) time: 0.4885 data: 0.0003
[11-24 09:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.36 Lm: 6.669 (6.681) Lt: 5.922 (5.938) Accm: 3.09 (3.01) Acct: 4.86 (4.76) proj_loss: -0.5854 (-0.5838) time: 0.4830 data: 0.0003
[11-24 09:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.36 Lm: 6.677 (6.670) Lt: 5.962 (5.957) Accm: 2.95 (2.95) Acct: 4.61 (4.64) proj_loss: -0.5913 (-0.5917) time: 0.4830 data: 0.0002
[11-24 09:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.36 Lm: 6.719 (6.739) Lt: 5.996 (6.013) Accm: 2.86 (2.78) Acct: 4.35 (4.38) proj_loss: -0.5754 (-0.5775) time: 0.4830 data: 0.0003
[11-24 09:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.36 Lm: 6.649 (6.604) Lt: 5.943 (5.889) Accm: 3.01 (3.18) Acct: 4.68 (4.96) proj_loss: -0.5770 (-0.5762) time: 0.4830 data: 0.0003
[11-24 09:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.654 (6.624) Lt: 5.953 (5.913) Accm: 3.00 (3.12) Acct: 4.55 (4.84) proj_loss: -0.5803 (-0.5803) time: 0.4900 data: 0.0020
[11-24 09:22:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:13:35 (0.489 s / it)
[11-24 09:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.656 (6.667) Lt: 5.909 (5.948) Accm: 3.08 (3.00) Acct: 4.86 (4.69) proj_loss: -0.5900 (-0.5898) time: 0.4900 data: 0.0015
[11-24 09:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.712 (6.716) Lt: 5.990 (6.000) Accm: 2.88 (2.84) Acct: 4.55 (4.46) proj_loss: -0.5814 (-0.5814) time: 0.4900 data: 0.0016
[11-24 09:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.695 (6.694) Lt: 5.956 (5.973) Accm: 2.98 (2.92) Acct: 4.70 (4.60) proj_loss: -0.5861 (-0.5886) time: 0.4900 data: 0.0017
[11-24 09:22:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:13:35 (0.489 s / it)
[11-24 09:22:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:13:35 (0.489 s / it)
[11-24 09:22:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:13:35 (0.489 s / it)
[11-24 09:22:39] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.665 (6.665), Lt: 5.933 (5.933), Acc m&t: 2.98 4.67, Remain: 1 day, 22:36:18, Finish: 2024-11-25 15:58
[11-24 09:22:39] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.665 (6.665), Lt: 5.933 (5.933), Acc m&t: 2.98 4.67, Remain: 1 day, 22:36:50, Finish: 2024-11-25 15:59
[11-24 09:22:39] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.665 (6.665), Lt: 5.933 (5.933), Acc m&t: 2.98 4.67, Remain: 1 day, 22:36:14, Finish: 2024-11-25 15:58
[11-24 09:22:39] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.665 (6.665), Lt: 5.933 (5.933), Acc m&t: 2.98 4.67, Remain: 1 day, 22:37:26, Finish: 2024-11-25 16:00
[11-24 09:22:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:12:30 tlr: 0.00015 tnm: 0.39 Lm: 6.786 (6.786) Lt: 5.998 (5.998) Accm: 2.66 (2.66) Acct: 4.30 (4.30) proj_loss: -0.5707 (-0.5707) time: 0.4499 data: 0.0003
[11-24 09:22:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:12:31 tlr: 0.00015 tnm: 0.39 Lm: 6.708 (6.708) Lt: 6.026 (6.026) Accm: 2.72 (2.72) Acct: 3.99 (3.99) proj_loss: -0.5957 (-0.5957) time: 0.4503 data: 0.0004
[11-24 09:22:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:12:32 tlr: 0.00015 tnm: 0.39 Lm: 6.590 (6.590) Lt: 5.837 (5.837) Accm: 3.12 (3.12) Acct: 5.15 (5.15) proj_loss: -0.5744 (-0.5744) time: 0.4506 data: 0.0003
[11-24 09:22:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:12:32 tlr: 0.00015 tnm: 0.39 Lm: 6.732 (6.732) Lt: 5.982 (5.982) Accm: 2.91 (2.91) Acct: 4.68 (4.68) proj_loss: -0.5874 (-0.5874) time: 0.4510 data: 0.0004
[11-24 09:26:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:10:29 tlr: 0.00015 tnm: 0.35 Lm: 6.723 (6.723) Lt: 5.984 (5.984) Accm: 2.78 (2.78) Acct: 4.47 (4.47) proj_loss: -0.5813 (-0.5813) time: 0.4901 data: 0.0003
[11-24 09:26:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:10:29 tlr: 0.00015 tnm: 0.35 Lm: 6.596 (6.596) Lt: 5.853 (5.853) Accm: 2.93 (2.93) Acct: 4.72 (4.72) proj_loss: -0.5788 (-0.5788) time: 0.4901 data: 0.0003
[11-24 09:26:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:10:29 tlr: 0.00015 tnm: 0.35 Lm: 6.714 (6.714) Lt: 6.001 (6.001) Accm: 2.68 (2.68) Acct: 4.13 (4.13) proj_loss: -0.5945 (-0.5945) time: 0.4901 data: 0.0003
[11-24 09:26:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:10:29 tlr: 0.00015 tnm: 0.35 Lm: 6.712 (6.712) Lt: 5.934 (5.934) Accm: 2.78 (2.78) Acct: 4.53 (4.53) proj_loss: -0.5760 (-0.5760) time: 0.4901 data: 0.0003
[11-24 09:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:07:07 tlr: 0.00015 tnm: 0.38 Lm: 6.651 (6.691) Lt: 5.912 (5.927) Accm: 2.89 (2.87) Acct: 4.67 (4.57) proj_loss: -0.5707 (-0.5677) time: 0.4874 data: 0.0003
[11-24 09:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:07:07 tlr: 0.00015 tnm: 0.38 Lm: 6.708 (6.710) Lt: 5.991 (5.998) Accm: 2.72 (2.74) Acct: 4.27 (4.33) proj_loss: -0.5933 (-0.5889) time: 0.4874 data: 0.0003
[11-24 09:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:07:07 tlr: 0.00015 tnm: 0.38 Lm: 6.603 (6.637) Lt: 5.868 (5.906) Accm: 2.77 (2.88) Acct: 4.41 (4.61) proj_loss: -0.5833 (-0.5811) time: 0.4874 data: 0.0003
[11-24 09:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:07:07 tlr: 0.00015 tnm: 0.38 Lm: 6.732 (6.732) Lt: 5.986 (5.994) Accm: 2.73 (2.76) Acct: 4.39 (4.44) proj_loss: -0.5751 (-0.5782) time: 0.4874 data: 0.0003
[11-24 09:33:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.34 Lm: 6.723 (6.669) Lt: 5.984 (5.917) Accm: 2.82 (2.87) Acct: 4.54 (4.58) proj_loss: -0.5813 (-0.5810) time: 0.4937 data: 0.0003
[11-24 09:33:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.34 Lm: 6.714 (6.724) Lt: 6.008 (6.019) Accm: 2.78 (2.79) Acct: 4.22 (4.29) proj_loss: -0.5941 (-0.5904) time: 0.4937 data: 0.0002
[11-24 09:33:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.34 Lm: 6.718 (6.741) Lt: 5.955 (5.985) Accm: 2.78 (2.70) Acct: 4.49 (4.30) proj_loss: -0.5723 (-0.5693) time: 0.4937 data: 0.0003
[11-24 09:33:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.34 Lm: 6.596 (6.619) Lt: 5.870 (5.898) Accm: 2.94 (3.09) Acct: 4.78 (4.93) proj_loss: -0.5844 (-0.5851) time: 0.4937 data: 0.0002
[11-24 09:36:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.603 (6.635) Lt: 5.872 (5.914) Accm: 2.78 (3.03) Acct: 4.41 (4.80) proj_loss: -0.5856 (-0.5872) time: 0.4904 data: 0.0017
[11-24 09:36:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:13:56 (0.501 s / it)
[11-24 09:36:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.714 (6.670) Lt: 5.982 (5.920) Accm: 2.80 (2.86) Acct: 4.44 (4.56) proj_loss: -0.5813 (-0.5811) time: 0.4904 data: 0.0017
[11-24 09:36:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.708 (6.711) Lt: 5.991 (6.006) Accm: 2.84 (2.84) Acct: 4.27 (4.35) proj_loss: -0.5947 (-0.5913) time: 0.4904 data: 0.0015
[11-24 09:36:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:13:56 (0.501 s / it)
[11-24 09:36:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:13:56 (0.501 s / it)
[11-24 09:36:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.786 (6.756) Lt: 5.998 (6.014) Accm: 2.66 (2.59) Acct: 4.30 (4.10) proj_loss: -0.5707 (-0.5666) time: 0.4904 data: 0.0021
[11-24 09:36:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:13:56 (0.501 s / it)
[11-24 09:36:36] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.665 (6.666), Lt: 5.933 (5.935), Acc m&t: 2.98 4.67, Remain: 1 day, 22:29:35, Finish: 2024-11-25 16:06
[11-24 09:36:36] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.665 (6.666), Lt: 5.933 (5.935), Acc m&t: 2.98 4.67, Remain: 1 day, 22:28:35, Finish: 2024-11-25 16:05
[11-24 09:36:36] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.665 (6.666), Lt: 5.933 (5.935), Acc m&t: 2.98 4.67, Remain: 1 day, 22:29:59, Finish: 2024-11-25 16:06
[11-24 09:36:36] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.665 (6.666), Lt: 5.933 (5.935), Acc m&t: 2.98 4.67, Remain: 1 day, 22:28:33, Finish: 2024-11-25 16:05
[11-24 09:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:13:38 tlr: 0.00015 tnm: 0.35 Lm: 6.673 (6.673) Lt: 5.937 (5.937) Accm: 3.11 (3.11) Acct: 4.61 (4.61) proj_loss: -0.5657 (-0.5657) time: 0.4901 data: 0.0002
[11-24 09:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:13:38 tlr: 0.00015 tnm: 0.35 Lm: 6.507 (6.507) Lt: 5.747 (5.747) Accm: 3.33 (3.33) Acct: 5.23 (5.23) proj_loss: -0.5890 (-0.5890) time: 0.4901 data: 0.0004
[11-24 09:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:13:38 tlr: 0.00015 tnm: 0.35 Lm: 6.674 (6.674) Lt: 5.969 (5.969) Accm: 2.85 (2.85) Acct: 4.44 (4.44) proj_loss: -0.5982 (-0.5982) time: 0.4902 data: 0.0003
[11-24 09:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:13:36 tlr: 0.00015 tnm: 0.35 Lm: 6.712 (6.712) Lt: 6.019 (6.019) Accm: 3.03 (3.03) Acct: 4.68 (4.68) proj_loss: -0.5777 (-0.5777) time: 0.4893 data: 0.0003
[11-24 09:39:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:10:07 tlr: 0.00015 tnm: 0.36 Lm: 6.737 (6.737) Lt: 5.999 (5.999) Accm: 2.94 (2.94) Acct: 4.61 (4.61) proj_loss: -0.5697 (-0.5697) time: 0.4862 data: 0.0003
[11-24 09:39:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:10:07 tlr: 0.00015 tnm: 0.36 Lm: 6.552 (6.552) Lt: 5.809 (5.809) Accm: 3.11 (3.11) Acct: 4.92 (4.92) proj_loss: -0.5787 (-0.5787) time: 0.4862 data: 0.0003
[11-24 09:39:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:10:07 tlr: 0.00015 tnm: 0.36 Lm: 6.691 (6.691) Lt: 5.987 (5.987) Accm: 3.13 (3.13) Acct: 4.73 (4.73) proj_loss: -0.5708 (-0.5708) time: 0.4861 data: 0.0003
[11-24 09:39:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:10:07 tlr: 0.00015 tnm: 0.36 Lm: 6.589 (6.589) Lt: 5.880 (5.880) Accm: 3.17 (3.17) Acct: 4.95 (4.95) proj_loss: -0.6019 (-0.6019) time: 0.4862 data: 0.0003
[11-24 09:43:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:06:45 tlr: 0.00015 tnm: 0.34 Lm: 6.630 (6.602) Lt: 5.915 (5.892) Accm: 2.99 (3.11) Acct: 4.44 (4.76) proj_loss: -0.5982 (-0.5957) time: 0.4904 data: 0.0003
[11-24 09:43:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:06:45 tlr: 0.00015 tnm: 0.34 Lm: 6.762 (6.766) Lt: 6.019 (6.046) Accm: 2.84 (2.80) Acct: 4.53 (4.36) proj_loss: -0.5777 (-0.5793) time: 0.4904 data: 0.0003
[11-24 09:43:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:06:45 tlr: 0.00015 tnm: 0.34 Lm: 6.597 (6.617) Lt: 5.871 (5.891) Accm: 2.90 (3.02) Acct: 4.60 (4.74) proj_loss: -0.5890 (-0.5829) time: 0.4904 data: 0.0003
[11-24 09:43:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:06:45 tlr: 0.00015 tnm: 0.34 Lm: 6.709 (6.697) Lt: 5.937 (5.959) Accm: 3.11 (3.06) Acct: 4.86 (4.78) proj_loss: -0.5758 (-0.5726) time: 0.4904 data: 0.0003
[11-24 09:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:03:28 tlr: 0.00015 tnm: 0.37 Lm: 6.692 (6.692) Lt: 5.948 (5.959) Accm: 3.02 (3.02) Acct: 4.73 (4.70) proj_loss: -0.5761 (-0.5786) time: 0.4854 data: 0.0003
[11-24 09:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:03:28 tlr: 0.00015 tnm: 0.37 Lm: 6.744 (6.756) Lt: 5.999 (6.026) Accm: 2.75 (2.76) Acct: 4.55 (4.41) proj_loss: -0.5784 (-0.5793) time: 0.4853 data: 0.0003
[11-24 09:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:03:28 tlr: 0.00015 tnm: 0.37 Lm: 6.599 (6.594) Lt: 5.853 (5.863) Accm: 3.22 (3.19) Acct: 4.95 (4.98) proj_loss: -0.5908 (-0.5926) time: 0.4854 data: 0.0003
[11-24 09:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:03:28 tlr: 0.00015 tnm: 0.37 Lm: 6.672 (6.665) Lt: 5.963 (5.937) Accm: 2.87 (2.93) Acct: 4.49 (4.62) proj_loss: -0.5830 (-0.5814) time: 0.4854 data: 0.0003
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.673 (6.666) Lt: 5.989 (5.948) Accm: 2.83 (2.89) Acct: 4.39 (4.55) proj_loss: -0.5890 (-0.5850) time: 0.4860 data: 0.0015
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:13:51 (0.498 s / it)
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.569 (6.584) Lt: 5.803 (5.851) Accm: 3.37 (3.23) Acct: 5.46 (5.09) proj_loss: -0.5833 (-0.5882) time: 0.4860 data: 0.0015
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.709 (6.696) Lt: 5.958 (5.969) Accm: 2.92 (2.96) Acct: 4.61 (4.65) proj_loss: -0.5758 (-0.5760) time: 0.4860 data: 0.0019
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.762 (6.762) Lt: 6.019 (6.039) Accm: 2.65 (2.73) Acct: 4.53 (4.30) proj_loss: -0.5792 (-0.5853) time: 0.4860 data: 0.0014
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:13:51 (0.498 s / it)
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:13:51 (0.498 s / it)
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:13:51 (0.498 s / it)
[11-24 09:50:28] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.665 (6.668), Lt: 5.933 (5.939), Acc m&t: 2.98 4.67, Remain: 1 day, 22:04:45, Finish: 2024-11-25 15:55
[11-24 09:50:28] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.665 (6.668), Lt: 5.933 (5.939), Acc m&t: 2.98 4.67, Remain: 1 day, 22:03:37, Finish: 2024-11-25 15:54
[11-24 09:50:28] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.665 (6.668), Lt: 5.933 (5.939), Acc m&t: 2.98 4.67, Remain: 1 day, 22:02:45, Finish: 2024-11-25 15:53
[11-24 09:50:28] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.665 (6.668), Lt: 5.933 (5.939), Acc m&t: 2.98 4.67, Remain: 1 day, 22:03:53, Finish: 2024-11-25 15:54
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:12:52 tlr: 0.00015 tnm: 0.34 Lm: 6.627 (6.627) Lt: 5.871 (5.871) Accm: 2.98 (2.98) Acct: 4.91 (4.91) proj_loss: -0.6053 (-0.6053) time: 0.4626 data: 0.0004
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:12:51 tlr: 0.00015 tnm: 0.34 Lm: 6.728 (6.728) Lt: 6.014 (6.014) Accm: 2.83 (2.83) Acct: 4.32 (4.32) proj_loss: -0.5581 (-0.5581) time: 0.4624 data: 0.0003
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:12:51 tlr: 0.00015 tnm: 0.34 Lm: 6.697 (6.697) Lt: 5.927 (5.927) Accm: 3.07 (3.07) Acct: 4.77 (4.77) proj_loss: -0.5992 (-0.5992) time: 0.4623 data: 0.0003
[11-24 09:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:12:52 tlr: 0.00015 tnm: 0.34 Lm: 6.704 (6.704) Lt: 5.975 (5.975) Accm: 3.20 (3.20) Acct: 5.29 (5.29) proj_loss: -0.5935 (-0.5935) time: 0.4626 data: 0.0004
[11-24 09:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:10:13 tlr: 0.00015 tnm: 0.37 Lm: 6.705 (6.705) Lt: 5.977 (5.977) Accm: 3.00 (3.00) Acct: 4.87 (4.87) proj_loss: -0.6010 (-0.6010) time: 0.4867 data: 0.0003
[11-24 09:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:10:13 tlr: 0.00015 tnm: 0.37 Lm: 6.581 (6.581) Lt: 5.835 (5.835) Accm: 3.19 (3.19) Acct: 5.01 (5.01) proj_loss: -0.5943 (-0.5943) time: 0.4867 data: 0.0003
[11-24 09:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:10:13 tlr: 0.00015 tnm: 0.37 Lm: 6.734 (6.734) Lt: 5.992 (5.992) Accm: 2.84 (2.84) Acct: 4.43 (4.43) proj_loss: -0.6096 (-0.6096) time: 0.4866 data: 0.0003
[11-24 09:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:10:13 tlr: 0.00015 tnm: 0.37 Lm: 6.754 (6.754) Lt: 6.038 (6.038) Accm: 2.75 (2.75) Acct: 4.23 (4.23) proj_loss: -0.5654 (-0.5654) time: 0.4867 data: 0.0003
[11-24 09:57:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:06:48 tlr: 0.00015 tnm: 0.35 Lm: 6.728 (6.743) Lt: 6.032 (6.036) Accm: 2.70 (2.73) Acct: 4.20 (4.22) proj_loss: -0.5728 (-0.5699) time: 0.4857 data: 0.0003
[11-24 09:57:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:06:48 tlr: 0.00015 tnm: 0.35 Lm: 6.603 (6.588) Lt: 5.822 (5.830) Accm: 3.37 (3.25) Acct: 5.11 (5.12) proj_loss: -0.5889 (-0.5925) time: 0.4857 data: 0.0003
[11-24 09:57:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:06:48 tlr: 0.00015 tnm: 0.35 Lm: 6.704 (6.627) Lt: 5.975 (5.895) Accm: 3.20 (3.14) Acct: 5.22 (4.99) proj_loss: -0.5935 (-0.5933) time: 0.4857 data: 0.0003
[11-24 09:57:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:06:48 tlr: 0.00015 tnm: 0.35 Lm: 6.710 (6.726) Lt: 5.976 (5.986) Accm: 2.74 (2.80) Acct: 4.13 (4.33) proj_loss: -0.5992 (-0.6058) time: 0.4857 data: 0.0003
[11-24 10:00:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.37 Lm: 6.713 (6.724) Lt: 5.970 (5.981) Accm: 2.74 (2.79) Acct: 4.26 (4.35) proj_loss: -0.5987 (-0.6003) time: 0.4913 data: 0.0003
[11-24 10:00:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.37 Lm: 6.725 (6.696) Lt: 6.023 (5.962) Accm: 2.76 (2.84) Acct: 4.26 (4.46) proj_loss: -0.5759 (-0.5764) time: 0.4913 data: 0.0003
[11-24 10:00:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.37 Lm: 6.613 (6.597) Lt: 5.847 (5.846) Accm: 3.17 (3.11) Acct: 5.01 (4.82) proj_loss: -0.5934 (-0.5938) time: 0.4913 data: 0.0003
[11-24 10:00:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:03:24 tlr: 0.00015 tnm: 0.37 Lm: 6.628 (6.608) Lt: 5.872 (5.863) Accm: 3.29 (3.20) Acct: 5.25 (5.14) proj_loss: -0.5908 (-0.5920) time: 0.4913 data: 0.0003
[11-24 10:04:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.676 (6.622) Lt: 5.920 (5.875) Accm: 3.20 (3.08) Acct: 5.22 (4.94) proj_loss: -0.5881 (-0.5893) time: 0.4893 data: 0.0018
[11-24 10:04:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:13:36 (0.489 s / it)
[11-24 10:04:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.710 (6.705) Lt: 5.963 (5.958) Accm: 2.73 (2.76) Acct: 4.39 (4.39) proj_loss: -0.5982 (-0.5971) time: 0.4893 data: 0.0015
[11-24 10:04:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.603 (6.592) Lt: 5.822 (5.822) Accm: 2.99 (3.08) Acct: 4.94 (4.84) proj_loss: -0.5889 (-0.5897) time: 0.4893 data: 0.0016
[11-24 10:04:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.721 (6.678) Lt: 6.014 (5.932) Accm: 2.83 (2.91) Acct: 4.32 (4.58) proj_loss: -0.5790 (-0.5776) time: 0.4893 data: 0.0019
[11-24 10:04:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:13:36 (0.489 s / it)
[11-24 10:04:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:13:36 (0.489 s / it)
[11-24 10:04:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:13:36 (0.489 s / it)
[11-24 10:06:13] (home/user/VAR/trainer.py, line 114)=> FID: 4.024444278609963
[11-24 10:06:13] (/home/user/VAR/train.py , line 259)=> [*] [ep149] (val 50000) Lm: 6.6634, Lt: 5.9284, Acc m&t: 2.96 4.68, Val cost: 128.44s
[11-24 10:06:13] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 10:06:37] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.928), Acc m&t: 2.98 4.68, Remain: 1 day, 21:49:36, Finish: 2024-11-25 15:53
[11-24 10:06:37] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.928), Acc m&t: 2.98 4.68, Remain: 1 day, 21:49:05, Finish: 2024-11-25 15:53
[11-24 10:06:37] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.928), Acc m&t: 2.98 4.68, Remain: 1 day, 21:44:07, Finish: 2024-11-25 15:48
[11-24 10:06:37] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.928), Acc m&t: 2.98 4.68, Remain: 1 day, 21:51:12, Finish: 2024-11-25 15:55
[11-24 10:06:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:13:06 tlr: 0.00015 tnm: 0.37 Lm: 6.621 (6.621) Lt: 5.900 (5.900) Accm: 3.00 (3.00) Acct: 5.04 (5.04) proj_loss: -0.5939 (-0.5939) time: 0.4713 data: 0.0004
[11-24 10:06:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:13:05 tlr: 0.00015 tnm: 0.37 Lm: 6.598 (6.598) Lt: 5.825 (5.825) Accm: 3.17 (3.17) Acct: 4.99 (4.99) proj_loss: -0.5871 (-0.5871) time: 0.4708 data: 0.0003
[11-24 10:06:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:13:05 tlr: 0.00015 tnm: 0.37 Lm: 6.756 (6.756) Lt: 6.029 (6.029) Accm: 2.68 (2.68) Acct: 4.12 (4.12) proj_loss: -0.5752 (-0.5752) time: 0.4707 data: 0.0004
[11-24 10:06:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:13:07 tlr: 0.00015 tnm: 0.37 Lm: 6.617 (6.617) Lt: 5.868 (5.868) Accm: 3.23 (3.23) Acct: 5.30 (5.30) proj_loss: -0.5942 (-0.5942) time: 0.4717 data: 0.0004
[11-24 10:10:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:10:32 tlr: 0.00015 tnm: 0.35 Lm: 6.642 (6.642) Lt: 5.907 (5.907) Accm: 3.24 (3.24) Acct: 5.12 (5.12) proj_loss: -0.5991 (-0.5991) time: 0.5442 data: 0.0003
[11-24 10:10:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:10:32 tlr: 0.00015 tnm: 0.35 Lm: 6.664 (6.664) Lt: 5.934 (5.934) Accm: 2.92 (2.92) Acct: 4.55 (4.55) proj_loss: -0.5920 (-0.5920) time: 0.5442 data: 0.0003
[11-24 10:10:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:10:33 tlr: 0.00015 tnm: 0.35 Lm: 6.641 (6.641) Lt: 5.904 (5.904) Accm: 2.94 (2.94) Acct: 4.95 (4.95) proj_loss: -0.5768 (-0.5768) time: 0.5442 data: 0.0003
[11-24 10:10:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:10:32 tlr: 0.00015 tnm: 0.35 Lm: 6.743 (6.743) Lt: 6.031 (6.031) Accm: 2.77 (2.77) Acct: 4.25 (4.25) proj_loss: -0.5899 (-0.5899) time: 0.5442 data: 0.0003
[11-24 10:13:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:07:09 tlr: 0.00015 tnm: 0.39 Lm: 6.730 (6.720) Lt: 6.029 (5.997) Accm: 2.86 (2.82) Acct: 4.39 (4.36) proj_loss: -0.5752 (-0.5842) time: 0.4883 data: 0.0003
[11-24 10:13:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:07:09 tlr: 0.00015 tnm: 0.39 Lm: 6.729 (6.709) Lt: 6.042 (5.991) Accm: 2.67 (2.78) Acct: 4.12 (4.34) proj_loss: -0.5871 (-0.5791) time: 0.4883 data: 0.0003
[11-24 10:13:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:07:09 tlr: 0.00015 tnm: 0.39 Lm: 6.617 (6.567) Lt: 5.868 (5.826) Accm: 3.26 (3.43) Acct: 5.30 (5.36) proj_loss: -0.5942 (-0.5949) time: 0.4883 data: 0.0003
[11-24 10:13:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:07:09 tlr: 0.00015 tnm: 0.39 Lm: 6.660 (6.671) Lt: 5.908 (5.934) Accm: 3.00 (2.97) Acct: 4.86 (4.80) proj_loss: -0.5939 (-0.5833) time: 0.4883 data: 0.0003
[11-24 10:17:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:03:31 tlr: 0.00015 tnm: 0.34 Lm: 6.681 (6.679) Lt: 5.922 (5.934) Accm: 2.99 (2.97) Acct: 4.71 (4.74) proj_loss: -0.5904 (-0.5841) time: 0.4839 data: 0.0003
[11-24 10:17:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:03:31 tlr: 0.00015 tnm: 0.34 Lm: 6.692 (6.696) Lt: 5.959 (5.962) Accm: 2.79 (2.81) Acct: 4.35 (4.40) proj_loss: -0.5737 (-0.5745) time: 0.4839 data: 0.0003
[11-24 10:17:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:03:31 tlr: 0.00015 tnm: 0.34 Lm: 6.702 (6.692) Lt: 5.978 (5.961) Accm: 2.89 (2.89) Acct: 4.49 (4.49) proj_loss: -0.5760 (-0.5824) time: 0.4839 data: 0.0003
[11-24 10:17:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:03:31 tlr: 0.00015 tnm: 0.34 Lm: 6.642 (6.594) Lt: 5.871 (5.839) Accm: 3.24 (3.36) Acct: 5.32 (5.35) proj_loss: -0.5903 (-0.5894) time: 0.4839 data: 0.0003
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.668 (6.620) Lt: 5.875 (5.875) Accm: 3.23 (3.22) Acct: 5.30 (5.10) proj_loss: -0.5864 (-0.5844) time: 0.4912 data: 0.0015
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:13:57 (0.502 s / it)
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.666 (6.690) Lt: 5.909 (5.951) Accm: 2.91 (2.84) Acct: 4.58 (4.45) proj_loss: -0.5871 (-0.5778) time: 0.4912 data: 0.0016
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.674 (6.684) Lt: 5.928 (5.948) Accm: 2.86 (2.84) Acct: 4.39 (4.45) proj_loss: -0.5768 (-0.5865) time: 0.4912 data: 0.0017
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.702 (6.702) Lt: 5.936 (5.959) Accm: 2.98 (2.89) Acct: 4.56 (4.57) proj_loss: -0.5868 (-0.5825) time: 0.4912 data: 0.0019
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:13:57 (0.502 s / it)
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:13:57 (0.502 s / it)
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:13:57 (0.502 s / it)
[11-24 10:20:35] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.939), Acc m&t: 2.98 4.68, Remain: 1 day, 21:47:57, Finish: 2024-11-25 16:08
[11-24 10:20:35] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.939), Acc m&t: 2.98 4.68, Remain: 1 day, 21:49:18, Finish: 2024-11-25 16:09
[11-24 10:20:35] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.939), Acc m&t: 2.98 4.68, Remain: 1 day, 21:49:05, Finish: 2024-11-25 16:09
[11-24 10:20:35] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.939), Acc m&t: 2.98 4.68, Remain: 1 day, 21:47:18, Finish: 2024-11-25 16:07
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:14:17 tlr: 0.00015 tnm: 0.34 Lm: 6.571 (6.571) Lt: 5.837 (5.837) Accm: 3.32 (3.32) Acct: 5.20 (5.20) proj_loss: -0.5743 (-0.5743) time: 0.5136 data: 0.0003
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:14:02 tlr: 0.00015 tnm: 0.34 Lm: 6.617 (6.617) Lt: 5.902 (5.902) Accm: 3.13 (3.13) Acct: 5.13 (5.13) proj_loss: -0.5923 (-0.5923) time: 0.5049 data: 0.0003
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:12:32 tlr: 0.00015 tnm: 0.34 Lm: 6.608 (6.608) Lt: 5.873 (5.873) Accm: 3.08 (3.08) Acct: 4.75 (4.75) proj_loss: -0.5765 (-0.5765) time: 0.4508 data: 0.0003
[11-24 10:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:14:18 tlr: 0.00015 tnm: 0.34 Lm: 6.839 (6.839) Lt: 6.149 (6.149) Accm: 2.40 (2.40) Acct: 3.77 (3.77) proj_loss: -0.5769 (-0.5769) time: 0.5147 data: 0.0004
[11-24 10:23:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:10:09 tlr: 0.00015 tnm: 0.36 Lm: 6.640 (6.640) Lt: 5.926 (5.926) Accm: 3.04 (3.04) Acct: 4.71 (4.71) proj_loss: -0.5808 (-0.5808) time: 0.4873 data: 0.0003
[11-24 10:23:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:10:09 tlr: 0.00015 tnm: 0.36 Lm: 6.598 (6.598) Lt: 5.868 (5.868) Accm: 3.17 (3.17) Acct: 5.12 (5.12) proj_loss: -0.5978 (-0.5978) time: 0.4873 data: 0.0003
[11-24 10:23:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:10:09 tlr: 0.00015 tnm: 0.36 Lm: 6.668 (6.668) Lt: 5.940 (5.940) Accm: 2.81 (2.81) Acct: 4.42 (4.42) proj_loss: -0.5898 (-0.5898) time: 0.4873 data: 0.0003
[11-24 10:23:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:10:09 tlr: 0.00015 tnm: 0.36 Lm: 6.547 (6.547) Lt: 5.795 (5.795) Accm: 3.48 (3.48) Acct: 5.52 (5.52) proj_loss: -0.5870 (-0.5870) time: 0.4873 data: 0.0003
[11-24 10:27:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.37 Lm: 6.571 (6.587) Lt: 5.837 (5.831) Accm: 3.32 (3.32) Acct: 5.20 (5.23) proj_loss: -0.5997 (-0.5978) time: 0.4894 data: 0.0003
[11-24 10:27:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.37 Lm: 6.614 (6.603) Lt: 5.853 (5.863) Accm: 3.13 (3.10) Acct: 5.11 (5.05) proj_loss: -0.5923 (-0.5947) time: 0.4894 data: 0.0002
[11-24 10:27:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.37 Lm: 6.839 (6.721) Lt: 6.149 (6.006) Accm: 2.43 (2.84) Acct: 4.13 (4.52) proj_loss: -0.5769 (-0.5768) time: 0.4894 data: 0.0003
[11-24 10:27:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:06:46 tlr: 0.00015 tnm: 0.37 Lm: 6.608 (6.590) Lt: 5.873 (5.840) Accm: 3.08 (3.01) Acct: 4.75 (4.67) proj_loss: -0.5839 (-0.5879) time: 0.4894 data: 0.0003
[11-24 10:31:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.37 Lm: 6.637 (6.609) Lt: 5.911 (5.868) Accm: 3.02 (3.00) Acct: 4.80 (4.71) proj_loss: -0.5802 (-0.5835) time: 0.4870 data: 0.0004
[11-24 10:31:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.37 Lm: 6.616 (6.644) Lt: 5.878 (5.912) Accm: 3.05 (2.93) Acct: 5.01 (4.69) proj_loss: -0.5935 (-0.5947) time: 0.4870 data: 0.0003
[11-24 10:31:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.37 Lm: 6.586 (6.591) Lt: 5.820 (5.824) Accm: 3.17 (3.20) Acct: 4.93 (5.03) proj_loss: -0.5870 (-0.5878) time: 0.4870 data: 0.0003
[11-24 10:31:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:03:30 tlr: 0.00015 tnm: 0.37 Lm: 6.737 (6.699) Lt: 6.001 (5.968) Accm: 2.83 (2.93) Acct: 4.55 (4.63) proj_loss: -0.5803 (-0.5785) time: 0.4870 data: 0.0003
[11-24 10:34:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.635 (6.679) Lt: 5.853 (5.940) Accm: 3.21 (2.99) Acct: 4.96 (4.70) proj_loss: -0.5769 (-0.5769) time: 0.4901 data: 0.0017
[11-24 10:34:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:13:56 (0.501 s / it)
[11-24 10:34:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.617 (6.666) Lt: 5.902 (5.947) Accm: 2.96 (2.82) Acct: 4.91 (4.46) proj_loss: -0.5947 (-0.5956) time: 0.4901 data: 0.0015
[11-24 10:34:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.651 (6.617) Lt: 5.873 (5.867) Accm: 3.08 (3.03) Acct: 4.86 (4.85) proj_loss: -0.5789 (-0.5826) time: 0.4901 data: 0.0023
[11-24 10:34:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:13:56 (0.501 s / it)
[11-24 10:34:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:13:56 (0.501 s / it)
[11-24 10:34:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.34 Lm: 6.601 (6.603) Lt: 5.837 (5.844) Accm: 3.01 (3.13) Acct: 4.67 (4.86) proj_loss: -0.5886 (-0.5880) time: 0.4901 data: 0.0018
[11-24 10:34:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:13:56 (0.501 s / it)
[11-24 10:34:32] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.663 (6.664), Lt: 5.928 (5.935), Acc m&t: 2.98 4.68, Remain: 1 day, 21:37:23, Finish: 2024-11-25 16:11
[11-24 10:34:32] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.663 (6.664), Lt: 5.928 (5.935), Acc m&t: 2.98 4.68, Remain: 1 day, 21:36:43, Finish: 2024-11-25 16:11
[11-24 10:34:32] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.663 (6.664), Lt: 5.928 (5.935), Acc m&t: 2.98 4.68, Remain: 1 day, 21:37:15, Finish: 2024-11-25 16:11
[11-24 10:34:32] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.663 (6.664), Lt: 5.928 (5.935), Acc m&t: 2.98 4.68, Remain: 1 day, 21:36:55, Finish: 2024-11-25 16:11
[11-24 10:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:13:17 tlr: 0.00015 tnm: 0.35 Lm: 6.516 (6.516) Lt: 5.754 (5.754) Accm: 3.37 (3.37) Acct: 5.30 (5.30) proj_loss: -0.5838 (-0.5838) time: 0.4781 data: 0.0003
[11-24 10:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:13:17 tlr: 0.00015 tnm: 0.35 Lm: 6.602 (6.602) Lt: 5.900 (5.900) Accm: 3.18 (3.18) Acct: 4.84 (4.84) proj_loss: -0.6013 (-0.6013) time: 0.4777 data: 0.0004
[11-24 10:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:13:18 tlr: 0.00015 tnm: 0.35 Lm: 6.526 (6.526) Lt: 5.807 (5.807) Accm: 3.18 (3.18) Acct: 4.80 (4.80) proj_loss: -0.5902 (-0.5902) time: 0.4782 data: 0.0003
[11-24 10:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:13:18 tlr: 0.00015 tnm: 0.35 Lm: 6.862 (6.862) Lt: 6.179 (6.179) Accm: 2.37 (2.37) Acct: 3.72 (3.72) proj_loss: -0.5863 (-0.5863) time: 0.4782 data: 0.0003
[11-24 10:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:10:12 tlr: 0.00015 tnm: 0.34 Lm: 6.726 (6.726) Lt: 6.039 (6.039) Accm: 2.94 (2.94) Acct: 4.51 (4.51) proj_loss: -0.5892 (-0.5892) time: 0.5372 data: 0.0003
[11-24 10:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:10:12 tlr: 0.00015 tnm: 0.34 Lm: 6.552 (6.552) Lt: 5.821 (5.821) Accm: 3.32 (3.32) Acct: 5.25 (5.25) proj_loss: -0.5893 (-0.5893) time: 0.5372 data: 0.0003
[11-24 10:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:10:12 tlr: 0.00015 tnm: 0.34 Lm: 6.656 (6.656) Lt: 5.950 (5.950) Accm: 2.92 (2.92) Acct: 4.54 (4.54) proj_loss: -0.5919 (-0.5919) time: 0.5371 data: 0.0003
[11-24 10:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:10:12 tlr: 0.00015 tnm: 0.34 Lm: 6.535 (6.535) Lt: 5.802 (5.802) Accm: 3.26 (3.26) Acct: 5.10 (5.10) proj_loss: -0.5896 (-0.5896) time: 0.5372 data: 0.0003
[11-24 10:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:06:47 tlr: 0.00015 tnm: 0.35 Lm: 6.544 (6.575) Lt: 5.807 (5.851) Accm: 3.18 (3.11) Acct: 4.80 (4.95) proj_loss: -0.5890 (-0.5850) time: 0.4893 data: 0.0003
[11-24 10:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:06:47 tlr: 0.00015 tnm: 0.35 Lm: 6.589 (6.598) Lt: 5.888 (5.865) Accm: 3.27 (3.18) Acct: 5.20 (5.02) proj_loss: -0.5838 (-0.5837) time: 0.4893 data: 0.0003
[11-24 10:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:06:47 tlr: 0.00015 tnm: 0.35 Lm: 6.803 (6.752) Lt: 6.027 (6.035) Accm: 2.37 (2.75) Acct: 3.79 (4.27) proj_loss: -0.5863 (-0.5878) time: 0.4893 data: 0.0002
[11-24 10:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:06:47 tlr: 0.00015 tnm: 0.35 Lm: 6.710 (6.689) Lt: 6.000 (5.985) Accm: 2.66 (2.80) Acct: 4.24 (4.31) proj_loss: -0.6013 (-0.5986) time: 0.4893 data: 0.0003
[11-24 10:44:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.34 Lm: 6.721 (6.700) Lt: 6.022 (6.000) Accm: 2.68 (2.78) Acct: 4.06 (4.21) proj_loss: -0.5919 (-0.5946) time: 0.4852 data: 0.0002
[11-24 10:44:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.34 Lm: 6.707 (6.717) Lt: 5.964 (5.984) Accm: 2.63 (2.79) Acct: 4.28 (4.39) proj_loss: -0.5862 (-0.5874) time: 0.4852 data: 0.0003
[11-24 10:44:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.34 Lm: 6.639 (6.669) Lt: 5.921 (5.948) Accm: 3.09 (2.92) Acct: 4.88 (4.57) proj_loss: -0.5781 (-0.5789) time: 0.4851 data: 0.0003
[11-24 10:44:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:03:23 tlr: 0.00015 tnm: 0.34 Lm: 6.599 (6.598) Lt: 5.867 (5.870) Accm: 3.08 (3.08) Acct: 4.73 (4.85) proj_loss: -0.5848 (-0.5839) time: 0.4852 data: 0.0003
[11-24 10:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.654 (6.626) Lt: 5.928 (5.911) Accm: 2.97 (2.99) Acct: 4.67 (4.69) proj_loss: -0.5890 (-0.5867) time: 0.4848 data: 0.0023
[11-24 10:48:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:13:39 (0.491 s / it)
[11-24 10:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.733 (6.716) Lt: 6.045 (6.018) Accm: 2.70 (2.77) Acct: 4.24 (4.25) proj_loss: -0.5825 (-0.5921) time: 0.4848 data: 0.0016
[11-24 10:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.689 (6.674) Lt: 5.953 (5.955) Accm: 3.00 (2.94) Acct: 4.56 (4.54) proj_loss: -0.5838 (-0.5813) time: 0.4848 data: 0.0015
[11-24 10:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.693 (6.712) Lt: 5.928 (5.973) Accm: 2.89 (2.84) Acct: 4.77 (4.49) proj_loss: -0.5861 (-0.5869) time: 0.4848 data: 0.0020
[11-24 10:48:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:13:39 (0.491 s / it)
[11-24 10:48:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:13:39 (0.491 s / it)
[11-24 10:48:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:13:39 (0.491 s / it)
[11-24 10:48:11] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.663 (6.665), Lt: 5.928 (5.934), Acc m&t: 2.98 4.68, Remain: 1 day, 20:46:21, Finish: 2024-11-25 15:34
[11-24 10:48:11] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.663 (6.665), Lt: 5.928 (5.934), Acc m&t: 2.98 4.68, Remain: 1 day, 20:47:39, Finish: 2024-11-25 15:35
[11-24 10:48:11] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.663 (6.665), Lt: 5.928 (5.934), Acc m&t: 2.98 4.68, Remain: 1 day, 20:47:32, Finish: 2024-11-25 15:35
[11-24 10:48:11] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.663 (6.665), Lt: 5.928 (5.934), Acc m&t: 2.98 4.68, Remain: 1 day, 20:46:00, Finish: 2024-11-25 15:34
[11-24 10:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:13:04 tlr: 0.00015 tnm: 0.36 Lm: 6.706 (6.706) Lt: 5.997 (5.997) Accm: 2.78 (2.78) Acct: 4.44 (4.44) proj_loss: -0.5951 (-0.5951) time: 0.4698 data: 0.0004
[11-24 10:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:13:04 tlr: 0.00015 tnm: 0.36 Lm: 6.655 (6.655) Lt: 5.925 (5.925) Accm: 2.83 (2.83) Acct: 4.46 (4.46) proj_loss: -0.5988 (-0.5988) time: 0.4699 data: 0.0004
[11-24 10:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:13:04 tlr: 0.00015 tnm: 0.36 Lm: 6.793 (6.793) Lt: 6.033 (6.033) Accm: 2.91 (2.91) Acct: 4.77 (4.77) proj_loss: -0.5547 (-0.5547) time: 0.4701 data: 0.0004
[11-24 10:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:13:04 tlr: 0.00015 tnm: 0.36 Lm: 6.710 (6.710) Lt: 6.000 (6.000) Accm: 2.97 (2.97) Acct: 4.55 (4.55) proj_loss: -0.5936 (-0.5936) time: 0.4702 data: 0.0004
[11-24 10:51:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:10:37 tlr: 0.00015 tnm: 0.37 Lm: 6.713 (6.713) Lt: 6.018 (6.018) Accm: 2.83 (2.83) Acct: 4.24 (4.24) proj_loss: -0.5993 (-0.5993) time: 0.5416 data: 0.0003
[11-24 10:51:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:10:37 tlr: 0.00015 tnm: 0.37 Lm: 6.629 (6.629) Lt: 5.887 (5.887) Accm: 3.03 (3.03) Acct: 4.76 (4.76) proj_loss: -0.5928 (-0.5928) time: 0.5415 data: 0.0003
[11-24 10:51:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:10:37 tlr: 0.00015 tnm: 0.37 Lm: 6.637 (6.637) Lt: 5.913 (5.913) Accm: 2.99 (2.99) Acct: 4.61 (4.61) proj_loss: -0.5892 (-0.5892) time: 0.5416 data: 0.0002
[11-24 10:51:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:10:37 tlr: 0.00015 tnm: 0.37 Lm: 6.712 (6.712) Lt: 5.945 (5.945) Accm: 2.90 (2.90) Acct: 4.74 (4.74) proj_loss: -0.5636 (-0.5636) time: 0.5416 data: 0.0003
[11-24 10:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:07:03 tlr: 0.00015 tnm: 0.34 Lm: 6.709 (6.711) Lt: 5.967 (5.952) Accm: 2.88 (2.86) Acct: 4.72 (4.58) proj_loss: -0.5725 (-0.5756) time: 0.4851 data: 0.0002
[11-24 10:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:07:03 tlr: 0.00015 tnm: 0.34 Lm: 6.655 (6.673) Lt: 5.925 (5.946) Accm: 2.83 (2.91) Acct: 4.48 (4.67) proj_loss: -0.5867 (-0.5898) time: 0.4852 data: 0.0003
[11-24 10:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:07:03 tlr: 0.00015 tnm: 0.34 Lm: 6.710 (6.703) Lt: 6.000 (6.005) Accm: 2.79 (2.82) Acct: 4.34 (4.28) proj_loss: -0.5936 (-0.5894) time: 0.4851 data: 0.0003
[11-24 10:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:07:03 tlr: 0.00015 tnm: 0.34 Lm: 6.607 (6.627) Lt: 5.874 (5.900) Accm: 3.07 (3.02) Acct: 4.77 (4.67) proj_loss: -0.5926 (-0.5903) time: 0.4852 data: 0.0003
[11-24 10:58:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:03:29 tlr: 0.00015 tnm: 0.35 Lm: 6.657 (6.660) Lt: 5.936 (5.933) Accm: 2.92 (2.96) Acct: 4.61 (4.61) proj_loss: -0.5879 (-0.5879) time: 0.4897 data: 0.0003
[11-24 10:58:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:03:29 tlr: 0.00015 tnm: 0.35 Lm: 6.635 (6.658) Lt: 5.917 (5.937) Accm: 2.93 (2.94) Acct: 4.69 (4.73) proj_loss: -0.5870 (-0.5891) time: 0.4897 data: 0.0003
[11-24 10:58:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:03:29 tlr: 0.00015 tnm: 0.35 Lm: 6.673 (6.693) Lt: 5.946 (5.945) Accm: 2.90 (2.89) Acct: 4.59 (4.55) proj_loss: -0.5802 (-0.5787) time: 0.4897 data: 0.0003
[11-24 10:58:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:03:29 tlr: 0.00015 tnm: 0.35 Lm: 6.709 (6.704) Lt: 5.992 (6.000) Accm: 2.74 (2.78) Acct: 4.34 (4.29) proj_loss: -0.5854 (-0.5864) time: 0.4897 data: 0.0003
[11-24 11:02:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.707 (6.681) Lt: 5.983 (5.977) Accm: 2.78 (2.78) Acct: 4.34 (4.32) proj_loss: -0.5785 (-0.5848) time: 0.4887 data: 0.0020
[11-24 11:02:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:13:50 (0.498 s / it)
[11-24 11:02:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.665 (6.661) Lt: 5.940 (5.935) Accm: 2.86 (2.94) Acct: 4.46 (4.57) proj_loss: -0.5832 (-0.5869) time: 0.4887 data: 0.0017
[11-24 11:02:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.648 (6.684) Lt: 5.924 (5.940) Accm: 2.91 (2.90) Acct: 4.63 (4.57) proj_loss: -0.5864 (-0.5803) time: 0.4887 data: 0.0021
[11-24 11:02:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.35 Lm: 6.615 (6.643) Lt: 5.910 (5.919) Accm: 3.03 (3.00) Acct: 4.82 (4.75) proj_loss: -0.5872 (-0.5940) time: 0.4887 data: 0.0019
[11-24 11:02:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:13:50 (0.498 s / it)
[11-24 11:02:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:13:50 (0.498 s / it)
[11-24 11:02:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:13:50 (0.498 s / it)
[11-24 11:02:02] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.663 (6.670), Lt: 5.928 (5.941), Acc m&t: 2.98 4.68, Remain: 1 day, 20:53:35, Finish: 2024-11-25 15:55
[11-24 11:02:02] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.663 (6.670), Lt: 5.928 (5.941), Acc m&t: 2.98 4.68, Remain: 1 day, 20:53:06, Finish: 2024-11-25 15:55
[11-24 11:02:02] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.663 (6.670), Lt: 5.928 (5.941), Acc m&t: 2.98 4.68, Remain: 1 day, 20:52:55, Finish: 2024-11-25 15:54
[11-24 11:02:02] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.663 (6.670), Lt: 5.928 (5.941), Acc m&t: 2.98 4.68, Remain: 1 day, 20:53:03, Finish: 2024-11-25 15:55
[11-24 11:02:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:12:42 tlr: 0.00015 tnm: 0.33 Lm: 6.720 (6.720) Lt: 5.998 (5.998) Accm: 2.75 (2.75) Acct: 4.29 (4.29) proj_loss: -0.5869 (-0.5869) time: 0.4571 data: 0.0003
[11-24 11:02:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:12:42 tlr: 0.00015 tnm: 0.33 Lm: 6.577 (6.577) Lt: 5.822 (5.822) Accm: 3.38 (3.38) Acct: 5.17 (5.17) proj_loss: -0.5915 (-0.5915) time: 0.4568 data: 0.0004
[11-24 11:02:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:12:42 tlr: 0.00015 tnm: 0.33 Lm: 6.565 (6.565) Lt: 5.810 (5.810) Accm: 3.35 (3.35) Acct: 5.42 (5.42) proj_loss: -0.5838 (-0.5838) time: 0.4568 data: 0.0004
[11-24 11:02:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:12:42 tlr: 0.00015 tnm: 0.33 Lm: 6.634 (6.634) Lt: 5.902 (5.902) Accm: 3.04 (3.04) Acct: 4.98 (4.98) proj_loss: -0.5959 (-0.5959) time: 0.4571 data: 0.0003
[11-24 11:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:10:08 tlr: 0.00015 tnm: 0.34 Lm: 6.661 (6.661) Lt: 5.945 (5.945) Accm: 2.80 (2.80) Acct: 4.56 (4.56) proj_loss: -0.5909 (-0.5909) time: 0.4843 data: 0.0003
[11-24 11:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:10:08 tlr: 0.00015 tnm: 0.34 Lm: 6.532 (6.532) Lt: 5.755 (5.755) Accm: 3.37 (3.37) Acct: 5.47 (5.47) proj_loss: -0.5920 (-0.5920) time: 0.4843 data: 0.0002
[11-24 11:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:10:08 tlr: 0.00015 tnm: 0.34 Lm: 6.734 (6.734) Lt: 5.994 (5.994) Accm: 2.78 (2.78) Acct: 4.29 (4.29) proj_loss: -0.5774 (-0.5774) time: 0.4843 data: 0.0002
[11-24 11:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:10:08 tlr: 0.00015 tnm: 0.34 Lm: 6.620 (6.620) Lt: 5.912 (5.912) Accm: 3.19 (3.19) Acct: 5.01 (5.01) proj_loss: -0.5863 (-0.5863) time: 0.4844 data: 0.0003
[11-24 11:08:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:06:52 tlr: 0.00014 tnm: 0.36 Lm: 6.664 (6.648) Lt: 5.935 (5.919) Accm: 3.01 (3.13) Acct: 4.86 (4.85) proj_loss: -0.5915 (-0.5911) time: 0.5370 data: 0.0003
[11-24 11:08:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:06:52 tlr: 0.00014 tnm: 0.36 Lm: 6.720 (6.715) Lt: 5.991 (5.989) Accm: 2.80 (2.81) Acct: 4.29 (4.34) proj_loss: -0.5790 (-0.5779) time: 0.5370 data: 0.0002
[11-24 11:08:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:06:52 tlr: 0.00014 tnm: 0.36 Lm: 6.565 (6.544) Lt: 5.810 (5.792) Accm: 3.35 (3.30) Acct: 5.42 (5.36) proj_loss: -0.6002 (-0.5987) time: 0.5371 data: 0.0003
[11-24 11:08:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:06:52 tlr: 0.00014 tnm: 0.36 Lm: 6.634 (6.641) Lt: 5.902 (5.911) Accm: 3.04 (2.97) Acct: 4.98 (4.84) proj_loss: -0.5860 (-0.5862) time: 0.5371 data: 0.0003
[11-24 11:12:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:03:30 tlr: 0.00014 tnm: 0.35 Lm: 6.661 (6.669) Lt: 5.945 (5.951) Accm: 2.83 (2.88) Acct: 4.56 (4.63) proj_loss: -0.5860 (-0.5862) time: 0.4911 data: 0.0003
[11-24 11:12:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:03:30 tlr: 0.00014 tnm: 0.35 Lm: 6.566 (6.579) Lt: 5.838 (5.840) Accm: 3.26 (3.12) Acct: 5.29 (4.96) proj_loss: -0.6031 (-0.6005) time: 0.4911 data: 0.0003
[11-24 11:12:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:03:30 tlr: 0.00014 tnm: 0.35 Lm: 6.698 (6.672) Lt: 5.984 (5.936) Accm: 2.84 (2.95) Acct: 4.36 (4.56) proj_loss: -0.5829 (-0.5807) time: 0.4911 data: 0.0003
[11-24 11:12:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:03:30 tlr: 0.00014 tnm: 0.35 Lm: 6.620 (6.622) Lt: 5.879 (5.883) Accm: 3.19 (3.20) Acct: 5.01 (4.96) proj_loss: -0.5871 (-0.5890) time: 0.4911 data: 0.0003
[11-24 11:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.580 (6.613) Lt: 5.822 (5.866) Accm: 3.21 (3.20) Acct: 4.91 (4.95) proj_loss: -0.5875 (-0.5887) time: 0.4905 data: 0.0016
[11-24 11:15:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:13:55 (0.501 s / it)
[11-24 11:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.567 (6.633) Lt: 5.866 (5.903) Accm: 3.16 (2.95) Acct: 5.15 (4.74) proj_loss: -0.6002 (-0.5995) time: 0.4905 data: 0.0016
[11-24 11:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.688 (6.701) Lt: 5.989 (5.981) Accm: 2.62 (2.76) Acct: 4.15 (4.41) proj_loss: -0.5860 (-0.5835) time: 0.4905 data: 0.0018
[11-24 11:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.677 (6.664) Lt: 5.978 (5.935) Accm: 2.88 (2.96) Acct: 4.44 (4.63) proj_loss: -0.5869 (-0.5858) time: 0.4905 data: 0.0015
[11-24 11:15:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:13:55 (0.501 s / it)
[11-24 11:15:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:13:55 (0.501 s / it)
[11-24 11:15:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:13:55 (0.501 s / it)
[11-24 11:15:58] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.939), Acc m&t: 2.98 4.68, Remain: 1 day, 20:44:48, Finish: 2024-11-25 16:00
[11-24 11:15:58] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.939), Acc m&t: 2.98 4.68, Remain: 1 day, 20:45:05, Finish: 2024-11-25 16:01
[11-24 11:15:58] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.939), Acc m&t: 2.98 4.68, Remain: 1 day, 20:46:05, Finish: 2024-11-25 16:02
[11-24 11:15:58] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.939), Acc m&t: 2.98 4.68, Remain: 1 day, 20:45:05, Finish: 2024-11-25 16:01
[11-24 11:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:12:54 tlr: 0.00014 tnm: 0.36 Lm: 6.726 (6.726) Lt: 5.942 (5.942) Accm: 2.59 (2.59) Acct: 4.22 (4.22) proj_loss: -0.5808 (-0.5808) time: 0.4641 data: 0.0004
[11-24 11:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:12:53 tlr: 0.00014 tnm: 0.36 Lm: 6.775 (6.775) Lt: 6.100 (6.100) Accm: 2.48 (2.48) Acct: 3.48 (3.48) proj_loss: -0.5794 (-0.5794) time: 0.4633 data: 0.0004
[11-24 11:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:12:56 tlr: 0.00014 tnm: 0.36 Lm: 6.627 (6.627) Lt: 5.899 (5.899) Accm: 2.99 (2.99) Acct: 4.60 (4.60) proj_loss: -0.5858 (-0.5858) time: 0.4651 data: 0.0004
[11-24 11:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:12:54 tlr: 0.00014 tnm: 0.36 Lm: 6.451 (6.451) Lt: 5.705 (5.705) Accm: 3.63 (3.63) Acct: 5.66 (5.66) proj_loss: -0.5971 (-0.5971) time: 0.4639 data: 0.0004
[11-24 11:19:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.35 Lm: 6.633 (6.633) Lt: 5.944 (5.944) Accm: 3.09 (3.09) Acct: 4.81 (4.81) proj_loss: -0.6025 (-0.6025) time: 0.4863 data: 0.0002
[11-24 11:19:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.35 Lm: 6.751 (6.751) Lt: 6.047 (6.047) Accm: 2.63 (2.63) Acct: 3.74 (3.74) proj_loss: -0.5680 (-0.5680) time: 0.4863 data: 0.0003
[11-24 11:19:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.35 Lm: 6.670 (6.670) Lt: 5.944 (5.944) Accm: 2.89 (2.89) Acct: 4.52 (4.52) proj_loss: -0.5826 (-0.5826) time: 0.4863 data: 0.0003
[11-24 11:19:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.35 Lm: 6.761 (6.761) Lt: 6.032 (6.032) Accm: 2.58 (2.58) Acct: 4.08 (4.08) proj_loss: -0.5855 (-0.5855) time: 0.4863 data: 0.0002
[11-24 11:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:06:48 tlr: 0.00014 tnm: 0.33 Lm: 6.726 (6.737) Lt: 5.942 (5.985) Accm: 2.59 (2.66) Acct: 4.22 (4.22) proj_loss: -0.5901 (-0.5906) time: 0.4864 data: 0.0002
[11-24 11:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:06:48 tlr: 0.00014 tnm: 0.33 Lm: 6.761 (6.676) Lt: 5.985 (5.958) Accm: 2.55 (2.91) Acct: 4.22 (4.61) proj_loss: -0.5971 (-0.5968) time: 0.4864 data: 0.0002
[11-24 11:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:06:48 tlr: 0.00014 tnm: 0.33 Lm: 6.766 (6.756) Lt: 6.044 (6.046) Accm: 2.56 (2.61) Acct: 4.01 (3.87) proj_loss: -0.5771 (-0.5710) time: 0.4864 data: 0.0003
[11-24 11:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:06:48 tlr: 0.00014 tnm: 0.33 Lm: 6.627 (6.623) Lt: 5.899 (5.881) Accm: 2.99 (3.06) Acct: 4.60 (4.73) proj_loss: -0.5858 (-0.5877) time: 0.4865 data: 0.0003
[11-24 11:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:03:23 tlr: 0.00014 tnm: 0.36 Lm: 6.670 (6.678) Lt: 5.944 (5.939) Accm: 2.89 (2.95) Acct: 4.52 (4.61) proj_loss: -0.5826 (-0.5851) time: 0.4852 data: 0.0003
[11-24 11:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:03:23 tlr: 0.00014 tnm: 0.36 Lm: 6.717 (6.675) Lt: 5.939 (5.942) Accm: 2.80 (2.95) Acct: 4.61 (4.71) proj_loss: -0.5913 (-0.5906) time: 0.4852 data: 0.0003
[11-24 11:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:03:23 tlr: 0.00014 tnm: 0.36 Lm: 6.720 (6.731) Lt: 5.982 (5.994) Accm: 2.70 (2.77) Acct: 4.36 (4.45) proj_loss: -0.5955 (-0.5940) time: 0.4852 data: 0.0003
[11-24 11:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:03:23 tlr: 0.00014 tnm: 0.36 Lm: 6.747 (6.711) Lt: 6.018 (6.003) Accm: 2.67 (2.78) Acct: 4.06 (4.24) proj_loss: -0.5782 (-0.5755) time: 0.4852 data: 0.0003
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.742 (6.717) Lt: 6.012 (6.005) Accm: 2.77 (2.78) Acct: 4.12 (4.27) proj_loss: -0.5771 (-0.5753) time: 0.4894 data: 0.0015
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:13:41 (0.492 s / it)
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.627 (6.657) Lt: 5.899 (5.921) Accm: 2.99 (2.96) Acct: 4.60 (4.65) proj_loss: -0.5858 (-0.5865) time: 0.4894 data: 0.0015
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.673 (6.658) Lt: 5.894 (5.931) Accm: 3.06 (2.97) Acct: 4.96 (4.76) proj_loss: -0.5951 (-0.5915) time: 0.4894 data: 0.0016
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.714 (6.713) Lt: 5.949 (5.985) Accm: 2.81 (2.82) Acct: 4.51 (4.47) proj_loss: -0.5911 (-0.5934) time: 0.4894 data: 0.0017
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:13:41 (0.492 s / it)
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:13:41 (0.492 s / it)
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:13:41 (0.492 s / it)
[11-24 11:29:40] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.942), Acc m&t: 2.98 4.68, Remain: 1 day, 20:29:51, Finish: 2024-11-25 15:59
[11-24 11:29:40] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.942), Acc m&t: 2.98 4.68, Remain: 1 day, 20:28:44, Finish: 2024-11-25 15:58
[11-24 11:29:40] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.942), Acc m&t: 2.98 4.68, Remain: 1 day, 20:30:05, Finish: 2024-11-25 15:59
[11-24 11:29:40] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.663 (6.671), Lt: 5.928 (5.942), Acc m&t: 2.98 4.68, Remain: 1 day, 20:30:12, Finish: 2024-11-25 15:59
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:14:47 tlr: 0.00014 tnm: 0.36 Lm: 6.421 (6.421) Lt: 5.677 (5.677) Accm: 3.66 (3.66) Acct: 5.65 (5.65) proj_loss: -0.5775 (-0.5775) time: 0.5318 data: 0.0004
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:12:36 tlr: 0.00014 tnm: 0.36 Lm: 6.583 (6.583) Lt: 5.874 (5.874) Accm: 2.93 (2.93) Acct: 4.58 (4.58) proj_loss: -0.5834 (-0.5834) time: 0.4532 data: 0.0004
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:16:33 tlr: 0.00014 tnm: 0.36 Lm: 6.831 (6.831) Lt: 6.121 (6.121) Accm: 2.68 (2.68) Acct: 4.15 (4.15) proj_loss: -0.5837 (-0.5837) time: 0.5953 data: 0.0004
[11-24 11:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:12:29 tlr: 0.00014 tnm: 0.36 Lm: 6.595 (6.595) Lt: 5.853 (5.853) Accm: 3.29 (3.29) Acct: 5.01 (5.01) proj_loss: -0.5778 (-0.5778) time: 0.4488 data: 0.0004
[11-24 11:33:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:10:57 tlr: 0.00014 tnm: 0.35 Lm: 6.591 (6.591) Lt: 5.806 (5.806) Accm: 3.42 (3.42) Acct: 5.54 (5.54) proj_loss: -0.5840 (-0.5840) time: 0.4859 data: 0.0003
[11-24 11:33:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:10:57 tlr: 0.00014 tnm: 0.35 Lm: 6.594 (6.594) Lt: 5.861 (5.861) Accm: 3.09 (3.09) Acct: 4.78 (4.78) proj_loss: -0.5896 (-0.5896) time: 0.4859 data: 0.0002
[11-24 11:33:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:10:57 tlr: 0.00014 tnm: 0.35 Lm: 6.793 (6.793) Lt: 6.107 (6.107) Accm: 2.62 (2.62) Acct: 4.02 (4.02) proj_loss: -0.5851 (-0.5851) time: 0.4859 data: 0.0002
[11-24 11:33:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:10:57 tlr: 0.00014 tnm: 0.35 Lm: 6.566 (6.566) Lt: 5.857 (5.857) Accm: 3.21 (3.21) Acct: 4.86 (4.86) proj_loss: -0.5809 (-0.5809) time: 0.4859 data: 0.0003
[11-24 11:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:07:04 tlr: 0.00014 tnm: 0.35 Lm: 6.691 (6.607) Lt: 5.968 (5.894) Accm: 2.98 (3.13) Acct: 4.96 (4.90) proj_loss: -0.5842 (-0.5821) time: 0.5431 data: 0.0003
[11-24 11:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:07:04 tlr: 0.00014 tnm: 0.35 Lm: 6.604 (6.597) Lt: 5.866 (5.863) Accm: 3.07 (3.08) Acct: 4.79 (4.78) proj_loss: -0.5942 (-0.5911) time: 0.5431 data: 0.0003
[11-24 11:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:07:04 tlr: 0.00014 tnm: 0.35 Lm: 6.595 (6.621) Lt: 5.853 (5.847) Accm: 3.29 (3.20) Acct: 5.01 (5.23) proj_loss: -0.5902 (-0.5864) time: 0.5431 data: 0.0003
[11-24 11:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:07:04 tlr: 0.00014 tnm: 0.35 Lm: 6.755 (6.729) Lt: 6.094 (6.021) Accm: 2.68 (2.77) Acct: 4.15 (4.29) proj_loss: -0.5865 (-0.5877) time: 0.5431 data: 0.0003
[11-24 11:40:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:03:29 tlr: 0.00014 tnm: 0.36 Lm: 6.731 (6.723) Lt: 6.041 (6.013) Accm: 2.87 (2.85) Acct: 4.49 (4.49) proj_loss: -0.5860 (-0.5871) time: 0.4894 data: 0.0003
[11-24 11:40:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:03:29 tlr: 0.00014 tnm: 0.36 Lm: 6.604 (6.616) Lt: 5.870 (5.873) Accm: 3.00 (3.01) Acct: 4.68 (4.72) proj_loss: -0.5906 (-0.5901) time: 0.4894 data: 0.0003
[11-24 11:40:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:03:29 tlr: 0.00014 tnm: 0.36 Lm: 6.657 (6.611) Lt: 5.931 (5.894) Accm: 3.11 (3.16) Acct: 4.92 (4.89) proj_loss: -0.5809 (-0.5805) time: 0.4894 data: 0.0003
[11-24 11:40:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:03:29 tlr: 0.00014 tnm: 0.36 Lm: 6.639 (6.646) Lt: 5.890 (5.883) Accm: 3.18 (3.17) Acct: 5.11 (5.23) proj_loss: -0.5853 (-0.5849) time: 0.4894 data: 0.0003
[11-24 11:43:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.595 (6.623) Lt: 5.853 (5.864) Accm: 3.21 (3.18) Acct: 5.22 (5.27) proj_loss: -0.5902 (-0.5887) time: 0.4869 data: 0.0019
[11-24 11:43:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:13:50 (0.497 s / it)
[11-24 11:43:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.604 (6.611) Lt: 5.874 (5.875) Accm: 3.07 (3.05) Acct: 4.79 (4.76) proj_loss: -0.5942 (-0.5918) time: 0.4869 data: 0.0016
[11-24 11:43:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.691 (6.634) Lt: 5.968 (5.918) Accm: 2.98 (3.07) Acct: 4.89 (4.77) proj_loss: -0.5842 (-0.5816) time: 0.4869 data: 0.0021
[11-24 11:43:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.721 (6.723) Lt: 5.988 (6.003) Accm: 2.70 (2.82) Acct: 4.44 (4.48) proj_loss: -0.5865 (-0.5883) time: 0.4869 data: 0.0019
[11-24 11:43:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:13:50 (0.497 s / it)
[11-24 11:43:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:13:50 (0.497 s / it)
[11-24 11:43:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:13:50 (0.497 s / it)
[11-24 11:43:30] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.930), Acc m&t: 2.98 4.71, Remain: 1 day, 20:07:28, Finish: 2024-11-25 15:50
[11-24 11:43:30] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.930), Acc m&t: 2.98 4.71, Remain: 1 day, 20:08:27, Finish: 2024-11-25 15:51
[11-24 11:43:30] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.930), Acc m&t: 2.98 4.71, Remain: 1 day, 20:07:47, Finish: 2024-11-25 15:51
[11-24 11:43:30] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.930), Acc m&t: 2.98 4.71, Remain: 1 day, 20:08:58, Finish: 2024-11-25 15:52
[11-24 11:43:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:13:50 tlr: 0.00014 tnm: 0.36 Lm: 6.598 (6.598) Lt: 5.842 (5.842) Accm: 2.93 (2.93) Acct: 4.20 (4.20) proj_loss: -0.5895 (-0.5895) time: 0.4978 data: 0.0004
[11-24 11:43:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:13:48 tlr: 0.00014 tnm: 0.36 Lm: 6.515 (6.515) Lt: 5.751 (5.751) Accm: 3.49 (3.49) Acct: 5.48 (5.48) proj_loss: -0.6036 (-0.6036) time: 0.4963 data: 0.0004
[11-24 11:43:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:13:45 tlr: 0.00014 tnm: 0.36 Lm: 6.769 (6.769) Lt: 6.059 (6.059) Accm: 2.91 (2.91) Acct: 4.72 (4.72) proj_loss: -0.6009 (-0.6009) time: 0.4949 data: 0.0004
[11-24 11:43:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:13:49 tlr: 0.00014 tnm: 0.36 Lm: 6.670 (6.670) Lt: 5.962 (5.962) Accm: 2.91 (2.91) Acct: 4.34 (4.34) proj_loss: -0.5833 (-0.5833) time: 0.4972 data: 0.0004
[11-24 11:46:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:10:11 tlr: 0.00014 tnm: 0.37 Lm: 6.751 (6.751) Lt: 6.048 (6.048) Accm: 2.80 (2.80) Acct: 4.23 (4.23) proj_loss: -0.5987 (-0.5987) time: 0.4881 data: 0.0003
[11-24 11:46:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:10:11 tlr: 0.00014 tnm: 0.37 Lm: 6.589 (6.589) Lt: 5.843 (5.843) Accm: 3.26 (3.26) Acct: 5.23 (5.23) proj_loss: -0.5923 (-0.5923) time: 0.4881 data: 0.0002
[11-24 11:46:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:10:11 tlr: 0.00014 tnm: 0.37 Lm: 6.601 (6.601) Lt: 5.841 (5.841) Accm: 3.10 (3.10) Acct: 4.71 (4.71) proj_loss: -0.5856 (-0.5856) time: 0.4881 data: 0.0002
[11-24 11:46:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:10:11 tlr: 0.00014 tnm: 0.37 Lm: 6.538 (6.538) Lt: 5.784 (5.784) Accm: 3.33 (3.33) Acct: 5.34 (5.34) proj_loss: -0.6001 (-0.6001) time: 0.4881 data: 0.0003
[11-24 11:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:07:04 tlr: 0.00014 tnm: 0.36 Lm: 6.542 (6.539) Lt: 5.751 (5.773) Accm: 3.29 (3.31) Acct: 5.20 (5.25) proj_loss: -0.5965 (-0.5924) time: 0.4881 data: 0.0003
[11-24 11:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:07:04 tlr: 0.00014 tnm: 0.36 Lm: 6.670 (6.718) Lt: 5.962 (5.994) Accm: 2.91 (2.86) Acct: 4.34 (4.40) proj_loss: -0.5834 (-0.5936) time: 0.4881 data: 0.0003
[11-24 11:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:07:04 tlr: 0.00014 tnm: 0.36 Lm: 6.604 (6.635) Lt: 5.842 (5.877) Accm: 2.93 (2.95) Acct: 4.20 (4.52) proj_loss: -0.5817 (-0.5829) time: 0.4881 data: 0.0003
[11-24 11:50:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:07:04 tlr: 0.00014 tnm: 0.36 Lm: 6.727 (6.635) Lt: 5.963 (5.883) Accm: 2.91 (3.01) Acct: 4.72 (4.79) proj_loss: -0.5837 (-0.5884) time: 0.4881 data: 0.0003
[11-24 11:54:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.34 Lm: 6.748 (6.674) Lt: 6.011 (5.939) Accm: 2.72 (2.89) Acct: 4.31 (4.57) proj_loss: -0.5923 (-0.5931) time: 0.4868 data: 0.0003
[11-24 11:54:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.34 Lm: 6.661 (6.676) Lt: 5.923 (5.959) Accm: 2.94 (2.92) Acct: 4.55 (4.54) proj_loss: -0.5838 (-0.5912) time: 0.4868 data: 0.0003
[11-24 11:54:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.34 Lm: 6.653 (6.654) Lt: 5.895 (5.906) Accm: 2.97 (2.96) Acct: 4.52 (4.60) proj_loss: -0.5796 (-0.5808) time: 0.4868 data: 0.0003
[11-24 11:54:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.34 Lm: 6.551 (6.615) Lt: 5.784 (5.867) Accm: 3.23 (3.10) Acct: 5.14 (4.87) proj_loss: -0.5869 (-0.5881) time: 0.4868 data: 0.0003
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.560 (6.638) Lt: 5.817 (5.902) Accm: 3.17 (3.05) Acct: 5.08 (4.83) proj_loss: -0.5965 (-0.5901) time: 0.4902 data: 0.0018
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:13:55 (0.501 s / it)
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.727 (6.673) Lt: 5.996 (5.950) Accm: 2.79 (2.87) Acct: 4.30 (4.51) proj_loss: -0.6005 (-0.5946) time: 0.4902 data: 0.0017
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.637 (6.650) Lt: 5.880 (5.901) Accm: 3.02 (3.02) Acct: 4.84 (4.69) proj_loss: -0.5776 (-0.5773) time: 0.4902 data: 0.0019
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.652 (6.669) Lt: 5.954 (5.958) Accm: 2.91 (2.89) Acct: 4.34 (4.48) proj_loss: -0.5841 (-0.5919) time: 0.4902 data: 0.0015
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:13:55 (0.501 s / it)
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:13:55 (0.501 s / it)
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:13:55 (0.501 s / it)
[11-24 11:57:26] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.663 (6.665), Lt: 5.928 (5.932), Acc m&t: 2.98 4.71, Remain: 1 day, 20:02:15, Finish: 2024-11-25 15:59
[11-24 11:57:26] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.663 (6.665), Lt: 5.928 (5.932), Acc m&t: 2.98 4.71, Remain: 1 day, 20:00:28, Finish: 2024-11-25 15:57
[11-24 11:57:26] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.663 (6.665), Lt: 5.928 (5.932), Acc m&t: 2.98 4.71, Remain: 1 day, 19:59:55, Finish: 2024-11-25 15:57
[11-24 11:57:26] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.663 (6.665), Lt: 5.928 (5.932), Acc m&t: 2.98 4.71, Remain: 1 day, 20:00:14, Finish: 2024-11-25 15:57
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:13:16 tlr: 0.00014 tnm: 0.37 Lm: 6.661 (6.661) Lt: 5.945 (5.945) Accm: 2.89 (2.89) Acct: 4.32 (4.32) proj_loss: -0.5867 (-0.5867) time: 0.4773 data: 0.0004
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:13:16 tlr: 0.00014 tnm: 0.37 Lm: 6.549 (6.549) Lt: 5.809 (5.809) Accm: 2.91 (2.91) Acct: 4.56 (4.56) proj_loss: -0.5968 (-0.5968) time: 0.4771 data: 0.0004
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:13:16 tlr: 0.00014 tnm: 0.37 Lm: 6.739 (6.739) Lt: 6.054 (6.054) Accm: 2.63 (2.63) Acct: 3.94 (3.94) proj_loss: -0.6010 (-0.6010) time: 0.4772 data: 0.0003
[11-24 11:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:13:16 tlr: 0.00014 tnm: 0.37 Lm: 6.581 (6.581) Lt: 5.849 (5.849) Accm: 3.06 (3.06) Acct: 5.13 (5.13) proj_loss: -0.5990 (-0.5990) time: 0.4770 data: 0.0003
[11-24 12:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.35 Lm: 6.611 (6.611) Lt: 5.868 (5.868) Accm: 3.07 (3.07) Acct: 4.90 (4.90) proj_loss: -0.5846 (-0.5846) time: 0.4867 data: 0.0003
[11-24 12:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.35 Lm: 6.737 (6.737) Lt: 6.025 (6.025) Accm: 2.68 (2.68) Acct: 4.28 (4.28) proj_loss: -0.5908 (-0.5908) time: 0.4867 data: 0.0002
[11-24 12:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.35 Lm: 6.741 (6.741) Lt: 6.058 (6.058) Accm: 2.68 (2.68) Acct: 4.12 (4.12) proj_loss: -0.5904 (-0.5904) time: 0.4867 data: 0.0003
[11-24 12:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.35 Lm: 6.623 (6.623) Lt: 5.893 (5.893) Accm: 2.92 (2.92) Acct: 4.57 (4.57) proj_loss: -0.5928 (-0.5928) time: 0.4867 data: 0.0003
[11-24 12:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:06:48 tlr: 0.00014 tnm: 0.35 Lm: 6.661 (6.657) Lt: 5.945 (5.924) Accm: 2.89 (2.81) Acct: 4.36 (4.50) proj_loss: -0.5867 (-0.5825) time: 0.4883 data: 0.0003
[11-24 12:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:06:48 tlr: 0.00014 tnm: 0.35 Lm: 6.739 (6.737) Lt: 6.054 (6.054) Accm: 2.71 (2.69) Acct: 3.94 (4.06) proj_loss: -0.5874 (-0.5894) time: 0.4883 data: 0.0003
[11-24 12:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:06:48 tlr: 0.00014 tnm: 0.35 Lm: 6.641 (6.621) Lt: 5.849 (5.859) Accm: 3.06 (3.04) Acct: 4.92 (4.91) proj_loss: -0.5990 (-0.5914) time: 0.4883 data: 0.0003
[11-24 12:04:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:06:48 tlr: 0.00014 tnm: 0.35 Lm: 6.825 (6.766) Lt: 6.088 (6.046) Accm: 2.48 (2.61) Acct: 3.99 (4.14) proj_loss: -0.5848 (-0.5845) time: 0.4883 data: 0.0003
[11-24 12:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:03:24 tlr: 0.00014 tnm: 0.35 Lm: 6.721 (6.729) Lt: 5.980 (6.002) Accm: 2.70 (2.75) Acct: 4.28 (4.34) proj_loss: -0.5841 (-0.5842) time: 0.4873 data: 0.0002
[11-24 12:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:03:24 tlr: 0.00014 tnm: 0.35 Lm: 6.735 (6.733) Lt: 6.050 (6.036) Accm: 2.70 (2.69) Acct: 4.01 (4.06) proj_loss: -0.5852 (-0.5878) time: 0.4873 data: 0.0003
[11-24 12:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:03:24 tlr: 0.00014 tnm: 0.35 Lm: 6.611 (6.608) Lt: 5.845 (5.845) Accm: 3.07 (3.11) Acct: 5.03 (4.98) proj_loss: -0.5970 (-0.5923) time: 0.4873 data: 0.0003
[11-24 12:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:03:24 tlr: 0.00014 tnm: 0.35 Lm: 6.685 (6.670) Lt: 5.950 (5.932) Accm: 2.89 (2.83) Acct: 4.56 (4.57) proj_loss: -0.5916 (-0.5860) time: 0.4873 data: 0.0003
[11-24 12:11:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.709 (6.687) Lt: 5.954 (5.952) Accm: 2.88 (2.80) Acct: 4.36 (4.52) proj_loss: -0.5867 (-0.5832) time: 0.4873 data: 0.0020
[11-24 12:11:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:13:43 (0.493 s / it)
[11-24 12:11:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.731 (6.723) Lt: 6.047 (6.023) Accm: 2.71 (2.77) Acct: 4.08 (4.17) proj_loss: -0.5874 (-0.5930) time: 0.4873 data: 0.0015
[11-24 12:11:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.641 (6.618) Lt: 5.849 (5.854) Accm: 3.06 (3.04) Acct: 4.92 (4.89) proj_loss: -0.5951 (-0.5901) time: 0.4873 data: 0.0014
[11-24 12:11:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.618 (6.702) Lt: 5.872 (5.968) Accm: 2.91 (2.80) Acct: 4.56 (4.41) proj_loss: -0.5834 (-0.5829) time: 0.4874 data: 0.0016
[11-24 12:11:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:13:43 (0.493 s / it)
[11-24 12:11:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:13:43 (0.493 s / it)
[11-24 12:11:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:13:43 (0.493 s / it)
[11-24 12:11:09] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.930), Acc m&t: 2.98 4.71, Remain: 1 day, 19:38:57, Finish: 2024-11-25 15:50
[11-24 12:11:09] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.930), Acc m&t: 2.98 4.71, Remain: 1 day, 19:40:09, Finish: 2024-11-25 15:51
[11-24 12:11:09] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.930), Acc m&t: 2.98 4.71, Remain: 1 day, 19:39:04, Finish: 2024-11-25 15:50
[11-24 12:11:09] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.663 (6.663), Lt: 5.928 (5.930), Acc m&t: 2.98 4.71, Remain: 1 day, 19:39:30, Finish: 2024-11-25 15:50
[11-24 12:11:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:13:31 tlr: 0.00014 tnm: 0.36 Lm: 6.612 (6.612) Lt: 5.859 (5.859) Accm: 2.96 (2.96) Acct: 4.73 (4.73) proj_loss: -0.5717 (-0.5717) time: 0.4859 data: 0.0004
[11-24 12:11:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:13:31 tlr: 0.00014 tnm: 0.36 Lm: 6.721 (6.721) Lt: 5.958 (5.958) Accm: 3.08 (3.08) Acct: 5.03 (5.03) proj_loss: -0.5876 (-0.5876) time: 0.4864 data: 0.0004
[11-24 12:11:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:13:31 tlr: 0.00014 tnm: 0.36 Lm: 6.763 (6.763) Lt: 6.027 (6.027) Accm: 2.72 (2.72) Acct: 4.24 (4.24) proj_loss: -0.5684 (-0.5684) time: 0.4864 data: 0.0003
[11-24 12:11:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:13:32 tlr: 0.00014 tnm: 0.36 Lm: 6.842 (6.842) Lt: 6.146 (6.146) Accm: 2.45 (2.45) Acct: 3.81 (3.81) proj_loss: -0.5816 (-0.5816) time: 0.4867 data: 0.0004
[11-24 12:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:10:54 tlr: 0.00014 tnm: 0.38 Lm: 6.747 (6.747) Lt: 5.995 (5.995) Accm: 2.66 (2.66) Acct: 4.14 (4.14) proj_loss: -0.5835 (-0.5835) time: 0.4888 data: 0.0003
[11-24 12:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:10:54 tlr: 0.00014 tnm: 0.38 Lm: 6.631 (6.631) Lt: 5.881 (5.881) Accm: 3.13 (3.13) Acct: 4.96 (4.96) proj_loss: -0.5819 (-0.5819) time: 0.4888 data: 0.0003
[11-24 12:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:10:54 tlr: 0.00014 tnm: 0.38 Lm: 6.583 (6.583) Lt: 5.840 (5.840) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: -0.5820 (-0.5820) time: 0.4888 data: 0.0003
[11-24 12:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:10:54 tlr: 0.00014 tnm: 0.38 Lm: 6.676 (6.676) Lt: 5.945 (5.945) Accm: 2.99 (2.99) Acct: 4.91 (4.91) proj_loss: -0.5878 (-0.5878) time: 0.4888 data: 0.0003
[11-24 12:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:07:03 tlr: 0.00014 tnm: 0.37 Lm: 6.631 (6.636) Lt: 5.931 (5.939) Accm: 3.08 (3.13) Acct: 5.03 (5.03) proj_loss: -0.5881 (-0.5903) time: 0.4803 data: 0.0002
[11-24 12:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:07:03 tlr: 0.00014 tnm: 0.37 Lm: 6.651 (6.638) Lt: 5.927 (5.896) Accm: 3.05 (3.11) Acct: 4.56 (4.83) proj_loss: -0.5901 (-0.5846) time: 0.4803 data: 0.0003
[11-24 12:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:07:03 tlr: 0.00014 tnm: 0.37 Lm: 6.554 (6.565) Lt: 5.822 (5.830) Accm: 3.12 (3.08) Acct: 4.87 (4.92) proj_loss: -0.5785 (-0.5808) time: 0.4803 data: 0.0003
[11-24 12:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:07:03 tlr: 0.00014 tnm: 0.37 Lm: 6.654 (6.716) Lt: 5.934 (5.975) Accm: 2.86 (2.76) Acct: 4.48 (4.30) proj_loss: -0.5816 (-0.5802) time: 0.4803 data: 0.0003
[11-24 12:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:03:28 tlr: 0.00014 tnm: 0.38 Lm: 6.583 (6.623) Lt: 5.840 (5.901) Accm: 3.04 (2.92) Acct: 4.80 (4.63) proj_loss: -0.5820 (-0.5820) time: 0.4829 data: 0.0003
[11-24 12:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:03:28 tlr: 0.00014 tnm: 0.38 Lm: 6.636 (6.634) Lt: 5.917 (5.899) Accm: 3.09 (3.11) Acct: 4.70 (4.83) proj_loss: -0.5916 (-0.5867) time: 0.4829 data: 0.0003
[11-24 12:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:03:28 tlr: 0.00014 tnm: 0.38 Lm: 6.614 (6.626) Lt: 5.929 (5.911) Accm: 3.22 (3.19) Acct: 5.12 (5.08) proj_loss: -0.5905 (-0.5910) time: 0.4829 data: 0.0002
[11-24 12:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:03:28 tlr: 0.00014 tnm: 0.38 Lm: 6.653 (6.656) Lt: 5.889 (5.916) Accm: 2.92 (3.04) Acct: 4.55 (4.78) proj_loss: -0.5821 (-0.5808) time: 0.4829 data: 0.0003
[11-24 12:24:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.652 (6.629) Lt: 5.844 (5.891) Accm: 2.97 (3.08) Acct: 4.61 (4.88) proj_loss: -0.5825 (-0.5828) time: 0.4836 data: 0.0017
[11-24 12:24:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:13:48 (0.496 s / it)
[11-24 12:24:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.651 (6.668) Lt: 5.927 (5.935) Accm: 3.05 (3.04) Acct: 4.56 (4.71) proj_loss: -0.5901 (-0.5853) time: 0.4836 data: 0.0019
[11-24 12:24:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.612 (6.623) Lt: 5.859 (5.894) Accm: 2.96 (2.92) Acct: 4.87 (4.71) proj_loss: -0.5801 (-0.5816) time: 0.4836 data: 0.0021
[11-24 12:24:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.596 (6.607) Lt: 5.927 (5.887) Accm: 3.36 (3.25) Acct: 5.03 (5.07) proj_loss: -0.5887 (-0.5905) time: 0.4836 data: 0.0017
[11-24 12:24:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:13:48 (0.496 s / it)
[11-24 12:24:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:13:48 (0.496 s / it)
[11-24 12:24:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:13:48 (0.496 s / it)
[11-24 12:27:08] (home/user/VAR/trainer.py, line 114)=> FID: 4.089642841033935
[11-24 12:27:08] (/home/user/VAR/train.py , line 259)=> [*] [ep159] (val 50000) Lm: 6.6566, Lt: 5.9247, Acc m&t: 2.99 4.72, Val cost: 129.64s
[11-24 12:27:08] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 12:27:23] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.657 (6.657), Lt: 5.925 (5.925), Acc m&t: 2.99 4.72, Remain: 1 day, 19:13:09, Finish: 2024-11-25 15:38
[11-24 12:27:23] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.657 (6.657), Lt: 5.925 (5.925), Acc m&t: 2.99 4.72, Remain: 1 day, 19:14:13, Finish: 2024-11-25 15:39
[11-24 12:27:23] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.657 (6.657), Lt: 5.925 (5.925), Acc m&t: 2.99 4.72, Remain: 1 day, 19:13:40, Finish: 2024-11-25 15:38
[11-24 12:27:23] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.657 (6.657), Lt: 5.925 (5.925), Acc m&t: 2.99 4.72, Remain: 1 day, 19:13:17, Finish: 2024-11-25 15:38
[11-24 12:27:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:13:11 tlr: 0.00014 tnm: 0.35 Lm: 6.599 (6.599) Lt: 5.853 (5.853) Accm: 3.01 (3.01) Acct: 4.77 (4.77) proj_loss: -0.5887 (-0.5887) time: 0.4740 data: 0.0003
[11-24 12:27:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:13:27 tlr: 0.00014 tnm: 0.35 Lm: 6.580 (6.580) Lt: 5.812 (5.812) Accm: 3.41 (3.41) Acct: 5.44 (5.44) proj_loss: -0.5630 (-0.5630) time: 0.4841 data: 0.0004
[11-24 12:27:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:13:27 tlr: 0.00014 tnm: 0.35 Lm: 6.519 (6.519) Lt: 5.807 (5.807) Accm: 3.17 (3.17) Acct: 4.72 (4.72) proj_loss: -0.6233 (-0.6233) time: 0.4841 data: 0.0003
[11-24 12:27:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:13:27 tlr: 0.00014 tnm: 0.35 Lm: 6.659 (6.659) Lt: 5.875 (5.875) Accm: 3.00 (3.00) Acct: 4.80 (4.80) proj_loss: -0.5962 (-0.5962) time: 0.4838 data: 0.0004
[11-24 12:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:10:08 tlr: 0.00014 tnm: 0.36 Lm: 6.713 (6.713) Lt: 5.949 (5.949) Accm: 2.87 (2.87) Acct: 4.62 (4.62) proj_loss: -0.5852 (-0.5852) time: 0.4880 data: 0.0003
[11-24 12:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:10:08 tlr: 0.00014 tnm: 0.36 Lm: 6.674 (6.674) Lt: 5.923 (5.923) Accm: 2.85 (2.85) Acct: 4.47 (4.47) proj_loss: -0.5919 (-0.5919) time: 0.4880 data: 0.0003
[11-24 12:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:10:08 tlr: 0.00014 tnm: 0.36 Lm: 6.642 (6.642) Lt: 5.923 (5.923) Accm: 2.95 (2.95) Acct: 4.49 (4.49) proj_loss: -0.5933 (-0.5933) time: 0.4880 data: 0.0002
[11-24 12:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:10:08 tlr: 0.00014 tnm: 0.36 Lm: 6.505 (6.505) Lt: 5.750 (5.750) Accm: 3.47 (3.47) Acct: 5.38 (5.38) proj_loss: -0.5789 (-0.5789) time: 0.4880 data: 0.0003
[11-24 12:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:07:06 tlr: 0.00014 tnm: 0.36 Lm: 6.580 (6.552) Lt: 5.812 (5.789) Accm: 3.41 (3.32) Acct: 5.32 (5.18) proj_loss: -0.5726 (-0.5768) time: 0.4864 data: 0.0003
[11-24 12:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:07:06 tlr: 0.00014 tnm: 0.36 Lm: 6.676 (6.675) Lt: 5.935 (5.927) Accm: 3.01 (2.91) Acct: 4.77 (4.69) proj_loss: -0.5887 (-0.5899) time: 0.4864 data: 0.0003
[11-24 12:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:07:06 tlr: 0.00014 tnm: 0.36 Lm: 6.537 (6.607) Lt: 5.807 (5.871) Accm: 3.17 (3.05) Acct: 4.72 (4.78) proj_loss: -0.6176 (-0.6014) time: 0.4864 data: 0.0003
[11-24 12:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:07:06 tlr: 0.00014 tnm: 0.36 Lm: 6.767 (6.756) Lt: 6.023 (6.021) Accm: 2.74 (2.69) Acct: 4.44 (4.24) proj_loss: -0.5824 (-0.5843) time: 0.4864 data: 0.0003
[11-24 12:37:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.35 Lm: 6.796 (6.773) Lt: 6.065 (6.042) Accm: 2.70 (2.68) Acct: 4.32 (4.23) proj_loss: -0.5885 (-0.5869) time: 0.4841 data: 0.0002
[11-24 12:37:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.35 Lm: 6.613 (6.587) Lt: 5.840 (5.837) Accm: 3.21 (3.21) Acct: 5.05 (5.01) proj_loss: -0.5836 (-0.5846) time: 0.4840 data: 0.0003
[11-24 12:37:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.35 Lm: 6.713 (6.694) Lt: 5.964 (5.954) Accm: 3.00 (2.94) Acct: 4.65 (4.65) proj_loss: -0.5874 (-0.5890) time: 0.4841 data: 0.0003
[11-24 12:37:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.35 Lm: 6.607 (6.624) Lt: 5.842 (5.872) Accm: 3.07 (3.03) Acct: 4.73 (4.76) proj_loss: -0.5954 (-0.5944) time: 0.4840 data: 0.0002
[11-24 12:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.676 (6.637) Lt: 5.877 (5.890) Accm: 2.96 (3.01) Acct: 4.72 (4.72) proj_loss: -0.5754 (-0.5906) time: 0.4875 data: 0.0018
[11-24 12:41:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:13:55 (0.501 s / it)
[11-24 12:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.676 (6.647) Lt: 5.935 (5.918) Accm: 3.01 (3.04) Acct: 4.77 (4.76) proj_loss: -0.5887 (-0.5912) time: 0.4875 data: 0.0015
[11-24 12:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.612 (6.592) Lt: 5.830 (5.835) Accm: 3.00 (3.14) Acct: 4.98 (5.00) proj_loss: -0.5947 (-0.5869) time: 0.4875 data: 0.0017
[11-24 12:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.767 (6.769) Lt: 6.037 (6.041) Accm: 2.74 (2.71) Acct: 4.44 (4.29) proj_loss: -0.5824 (-0.5854) time: 0.4875 data: 0.0020
[11-24 12:41:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:13:55 (0.501 s / it)
[11-24 12:41:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:13:55 (0.501 s / it)
[11-24 12:41:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:13:55 (0.501 s / it)
[11-24 12:41:19] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.657 (6.659), Lt: 5.923 (5.923), Acc m&t: 2.99 4.72, Remain: 1 day, 19:15:16, Finish: 2024-11-25 15:56
[11-24 12:41:19] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.657 (6.659), Lt: 5.923 (5.923), Acc m&t: 2.99 4.72, Remain: 1 day, 19:14:20, Finish: 2024-11-25 15:55
[11-24 12:41:19] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.657 (6.659), Lt: 5.923 (5.923), Acc m&t: 2.99 4.72, Remain: 1 day, 19:15:22, Finish: 2024-11-25 15:56
[11-24 12:41:19] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.657 (6.659), Lt: 5.923 (5.923), Acc m&t: 2.99 4.72, Remain: 1 day, 19:15:37, Finish: 2024-11-25 15:56
[11-24 12:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:12:32 tlr: 0.00014 tnm: 0.37 Lm: 6.735 (6.735) Lt: 6.044 (6.044) Accm: 2.67 (2.67) Acct: 4.12 (4.12) proj_loss: -0.5867 (-0.5867) time: 0.4509 data: 0.0004
[11-24 12:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:12:50 tlr: 0.00014 tnm: 0.37 Lm: 6.661 (6.661) Lt: 5.904 (5.904) Accm: 3.04 (3.04) Acct: 4.86 (4.86) proj_loss: -0.5733 (-0.5733) time: 0.4617 data: 0.0003
[11-24 12:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:12:49 tlr: 0.00014 tnm: 0.37 Lm: 6.625 (6.625) Lt: 5.871 (5.871) Accm: 3.28 (3.28) Acct: 5.03 (5.03) proj_loss: -0.5843 (-0.5843) time: 0.4613 data: 0.0004
[11-24 12:41:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:13:24 tlr: 0.00014 tnm: 0.37 Lm: 6.708 (6.708) Lt: 5.979 (5.979) Accm: 3.02 (3.02) Acct: 4.68 (4.68) proj_loss: -0.5778 (-0.5778) time: 0.4818 data: 0.0003
[11-24 12:44:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.36 Lm: 6.681 (6.681) Lt: 5.947 (5.947) Accm: 2.88 (2.88) Acct: 4.68 (4.68) proj_loss: -0.5831 (-0.5831) time: 0.4885 data: 0.0003
[11-24 12:44:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.36 Lm: 6.723 (6.723) Lt: 6.010 (6.010) Accm: 2.62 (2.62) Acct: 4.18 (4.18) proj_loss: -0.5805 (-0.5805) time: 0.4885 data: 0.0003
[11-24 12:44:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.36 Lm: 6.643 (6.643) Lt: 5.881 (5.881) Accm: 3.19 (3.19) Acct: 5.04 (5.04) proj_loss: -0.5876 (-0.5876) time: 0.4885 data: 0.0002
[11-24 12:44:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.36 Lm: 6.582 (6.582) Lt: 5.798 (5.798) Accm: 3.35 (3.35) Acct: 5.38 (5.38) proj_loss: -0.5733 (-0.5733) time: 0.4885 data: 0.0003
[11-24 12:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:06:46 tlr: 0.00014 tnm: 0.37 Lm: 6.644 (6.602) Lt: 5.887 (5.828) Accm: 3.31 (3.34) Acct: 5.46 (5.41) proj_loss: -0.5733 (-0.5768) time: 0.4859 data: 0.0003
[11-24 12:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:06:46 tlr: 0.00014 tnm: 0.37 Lm: 6.646 (6.644) Lt: 5.871 (5.870) Accm: 3.10 (3.10) Acct: 5.03 (4.90) proj_loss: -0.5843 (-0.5822) time: 0.4859 data: 0.0002
[11-24 12:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:06:46 tlr: 0.00014 tnm: 0.37 Lm: 6.653 (6.660) Lt: 5.915 (5.927) Accm: 3.02 (2.99) Acct: 4.68 (4.79) proj_loss: -0.5884 (-0.5849) time: 0.4859 data: 0.0003
[11-24 12:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:06:46 tlr: 0.00014 tnm: 0.37 Lm: 6.711 (6.670) Lt: 5.976 (5.937) Accm: 2.67 (2.82) Acct: 4.25 (4.40) proj_loss: -0.5743 (-0.5679) time: 0.4859 data: 0.0003
[11-24 12:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:03:26 tlr: 0.00014 tnm: 0.35 Lm: 6.654 (6.651) Lt: 5.881 (5.893) Accm: 3.12 (3.11) Acct: 5.04 (4.94) proj_loss: -0.5857 (-0.5835) time: 0.4870 data: 0.0002
[11-24 12:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:03:26 tlr: 0.00014 tnm: 0.35 Lm: 6.681 (6.672) Lt: 5.932 (5.932) Accm: 3.04 (3.01) Acct: 4.80 (4.83) proj_loss: -0.5831 (-0.5794) time: 0.4870 data: 0.0002
[11-24 12:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:03:26 tlr: 0.00014 tnm: 0.35 Lm: 6.652 (6.646) Lt: 5.895 (5.871) Accm: 3.18 (3.16) Acct: 5.16 (5.09) proj_loss: -0.5733 (-0.5700) time: 0.4870 data: 0.0002
[11-24 12:51:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:03:26 tlr: 0.00014 tnm: 0.35 Lm: 6.651 (6.650) Lt: 5.910 (5.914) Accm: 2.94 (2.93) Acct: 4.54 (4.56) proj_loss: -0.5805 (-0.5726) time: 0.4870 data: 0.0003
[11-24 12:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.34 Lm: 6.711 (6.684) Lt: 5.976 (5.959) Accm: 2.67 (2.83) Acct: 4.25 (4.43) proj_loss: -0.5860 (-0.5753) time: 0.6423 data: 0.0019
[11-24 12:55:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:13:55 (0.501 s / it)
[11-24 12:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.34 Lm: 6.646 (6.647) Lt: 5.891 (5.895) Accm: 3.10 (3.08) Acct: 5.03 (4.90) proj_loss: -0.5871 (-0.5853) time: 0.6423 data: 0.0017
[11-24 12:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.34 Lm: 6.693 (6.676) Lt: 5.945 (5.935) Accm: 3.02 (2.99) Acct: 4.68 (4.77) proj_loss: -0.5778 (-0.5786) time: 0.6423 data: 0.0017
[11-24 12:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.34 Lm: 6.661 (6.664) Lt: 5.904 (5.899) Accm: 3.04 (3.09) Acct: 4.86 (4.96) proj_loss: -0.5733 (-0.5728) time: 0.6423 data: 0.0017
[11-24 12:55:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:13:55 (0.501 s / it)
[11-24 12:55:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:13:55 (0.501 s / it)
[11-24 12:55:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:13:55 (0.501 s / it)
[11-24 12:55:15] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.657 (6.673), Lt: 5.923 (5.944), Acc m&t: 2.99 4.72, Remain: 1 day, 19:07:46, Finish: 2024-11-25 16:03
[11-24 12:55:15] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.657 (6.673), Lt: 5.923 (5.944), Acc m&t: 2.99 4.72, Remain: 1 day, 19:06:38, Finish: 2024-11-25 16:01
[11-24 12:55:15] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.657 (6.673), Lt: 5.923 (5.944), Acc m&t: 2.99 4.72, Remain: 1 day, 19:07:09, Finish: 2024-11-25 16:02
[11-24 12:55:15] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.657 (6.673), Lt: 5.923 (5.944), Acc m&t: 2.99 4.72, Remain: 1 day, 19:07:06, Finish: 2024-11-25 16:02
[11-24 12:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:13:03 tlr: 0.00014 tnm: 0.36 Lm: 6.576 (6.576) Lt: 5.870 (5.870) Accm: 3.11 (3.11) Acct: 4.91 (4.91) proj_loss: -0.6060 (-0.6060) time: 0.4696 data: 0.0004
[11-24 12:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:13:05 tlr: 0.00014 tnm: 0.36 Lm: 6.859 (6.859) Lt: 6.180 (6.180) Accm: 2.33 (2.33) Acct: 3.74 (3.74) proj_loss: -0.5847 (-0.5847) time: 0.4706 data: 0.0004
[11-24 12:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:13:05 tlr: 0.00014 tnm: 0.36 Lm: 6.509 (6.509) Lt: 5.788 (5.788) Accm: 3.28 (3.28) Acct: 4.94 (4.94) proj_loss: -0.5734 (-0.5734) time: 0.4706 data: 0.0004
[11-24 12:55:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:13:06 tlr: 0.00014 tnm: 0.36 Lm: 6.804 (6.804) Lt: 6.110 (6.110) Accm: 2.70 (2.70) Acct: 4.30 (4.30) proj_loss: -0.5802 (-0.5802) time: 0.4715 data: 0.0003
[11-24 12:58:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:10:19 tlr: 0.00014 tnm: 0.35 Lm: 6.745 (6.745) Lt: 6.040 (6.040) Accm: 2.73 (2.73) Acct: 4.32 (4.32) proj_loss: -0.5860 (-0.5860) time: 0.4863 data: 0.0002
[11-24 12:58:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:10:19 tlr: 0.00014 tnm: 0.35 Lm: 6.537 (6.537) Lt: 5.821 (5.821) Accm: 3.30 (3.30) Acct: 5.18 (5.18) proj_loss: -0.6130 (-0.6130) time: 0.4863 data: 0.0003
[11-24 12:58:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:10:19 tlr: 0.00014 tnm: 0.35 Lm: 6.555 (6.555) Lt: 5.840 (5.840) Accm: 3.08 (3.08) Acct: 4.74 (4.74) proj_loss: -0.5792 (-0.5792) time: 0.4863 data: 0.0003
[11-24 12:58:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:10:19 tlr: 0.00014 tnm: 0.35 Lm: 6.728 (6.728) Lt: 6.041 (6.041) Accm: 2.72 (2.72) Acct: 4.24 (4.24) proj_loss: -0.5913 (-0.5913) time: 0.4863 data: 0.0003
[11-24 13:02:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:06:50 tlr: 0.00014 tnm: 0.36 Lm: 6.755 (6.737) Lt: 5.999 (6.027) Accm: 2.87 (2.77) Acct: 4.46 (4.31) proj_loss: -0.5847 (-0.5885) time: 0.4868 data: 0.0002
[11-24 13:02:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:06:50 tlr: 0.00014 tnm: 0.36 Lm: 6.563 (6.557) Lt: 5.809 (5.830) Accm: 3.11 (3.09) Acct: 4.60 (4.69) proj_loss: -0.5737 (-0.5773) time: 0.4868 data: 0.0002
[11-24 13:02:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:06:50 tlr: 0.00014 tnm: 0.36 Lm: 6.687 (6.691) Lt: 5.970 (5.965) Accm: 2.75 (2.81) Acct: 4.34 (4.57) proj_loss: -0.5802 (-0.5811) time: 0.4868 data: 0.0002
[11-24 13:02:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:06:50 tlr: 0.00014 tnm: 0.36 Lm: 6.576 (6.557) Lt: 5.802 (5.815) Accm: 3.18 (3.26) Acct: 5.20 (5.19) proj_loss: -0.6060 (-0.6082) time: 0.4868 data: 0.0003
[11-24 13:05:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:03:25 tlr: 0.00014 tnm: 0.37 Lm: 6.583 (6.566) Lt: 5.836 (5.834) Accm: 3.14 (3.22) Acct: 5.08 (5.13) proj_loss: -0.6023 (-0.6002) time: 0.4862 data: 0.0002
[11-24 13:05:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:03:25 tlr: 0.00014 tnm: 0.37 Lm: 6.741 (6.735) Lt: 6.015 (6.028) Accm: 2.76 (2.74) Acct: 4.27 (4.25) proj_loss: -0.5839 (-0.5870) time: 0.4862 data: 0.0003
[11-24 13:05:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:03:25 tlr: 0.00014 tnm: 0.37 Lm: 6.714 (6.703) Lt: 5.997 (5.980) Accm: 2.86 (2.86) Acct: 4.36 (4.52) proj_loss: -0.5757 (-0.5777) time: 0.4862 data: 0.0003
[11-24 13:05:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:03:25 tlr: 0.00014 tnm: 0.37 Lm: 6.582 (6.595) Lt: 5.851 (5.868) Accm: 3.00 (3.01) Acct: 4.57 (4.61) proj_loss: -0.5739 (-0.5765) time: 0.4862 data: 0.0003
[11-24 13:08:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.601 (6.598) Lt: 5.851 (5.864) Accm: 3.11 (3.03) Acct: 4.60 (4.69) proj_loss: -0.5741 (-0.5762) time: 0.4878 data: 0.0019
[11-24 13:08:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:13:36 (0.489 s / it)
[11-24 13:08:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.755 (6.739) Lt: 5.999 (6.020) Accm: 2.65 (2.66) Acct: 4.08 (4.14) proj_loss: -0.5831 (-0.5862) time: 0.4878 data: 0.0017
[11-24 13:08:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.590 (6.573) Lt: 5.856 (5.839) Accm: 3.11 (3.17) Acct: 4.96 (5.00) proj_loss: -0.5986 (-0.5988) time: 0.4878 data: 0.0016
[11-24 13:08:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.687 (6.697) Lt: 5.970 (5.972) Accm: 2.96 (2.89) Acct: 4.39 (4.63) proj_loss: -0.5787 (-0.5779) time: 0.4878 data: 0.0018
[11-24 13:08:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:13:36 (0.489 s / it)
[11-24 13:08:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:13:36 (0.489 s / it)
[11-24 13:08:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:13:36 (0.489 s / it)
[11-24 13:08:52] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.654 (6.654), Lt: 5.919 (5.919), Acc m&t: 2.99 4.72, Remain: 1 day, 18:46:42, Finish: 2024-11-25 15:55
[11-24 13:08:52] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.654 (6.654), Lt: 5.919 (5.919), Acc m&t: 2.99 4.72, Remain: 1 day, 18:47:26, Finish: 2024-11-25 15:56
[11-24 13:08:52] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.654 (6.654), Lt: 5.919 (5.919), Acc m&t: 2.99 4.72, Remain: 1 day, 18:48:07, Finish: 2024-11-25 15:56
[11-24 13:08:52] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.654 (6.654), Lt: 5.919 (5.919), Acc m&t: 2.99 4.72, Remain: 1 day, 18:48:27, Finish: 2024-11-25 15:57
[11-24 13:08:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:12:35 tlr: 0.00014 tnm: 0.35 Lm: 6.705 (6.705) Lt: 5.966 (5.966) Accm: 2.67 (2.67) Acct: 4.22 (4.22) proj_loss: -0.5725 (-0.5725) time: 0.4527 data: 0.0004
[11-24 13:08:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:12:36 tlr: 0.00014 tnm: 0.35 Lm: 6.457 (6.457) Lt: 5.642 (5.642) Accm: 3.69 (3.69) Acct: 5.89 (5.89) proj_loss: -0.5816 (-0.5816) time: 0.4534 data: 0.0003
[11-24 13:08:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:12:36 tlr: 0.00014 tnm: 0.35 Lm: 6.591 (6.591) Lt: 5.857 (5.857) Accm: 2.95 (2.95) Acct: 4.53 (4.53) proj_loss: -0.6009 (-0.6009) time: 0.4535 data: 0.0004
[11-24 13:08:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:12:37 tlr: 0.00014 tnm: 0.35 Lm: 6.672 (6.672) Lt: 5.918 (5.918) Accm: 2.84 (2.84) Acct: 4.53 (4.53) proj_loss: -0.5838 (-0.5838) time: 0.4541 data: 0.0004
[11-24 13:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:10:47 tlr: 0.00014 tnm: 0.35 Lm: 6.703 (6.703) Lt: 5.971 (5.971) Accm: 2.87 (2.87) Acct: 4.55 (4.55) proj_loss: -0.5865 (-0.5865) time: 0.6929 data: 0.0003
[11-24 13:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:10:47 tlr: 0.00014 tnm: 0.35 Lm: 6.685 (6.685) Lt: 5.971 (5.971) Accm: 2.81 (2.81) Acct: 4.36 (4.36) proj_loss: -0.5976 (-0.5976) time: 0.6929 data: 0.0003
[11-24 13:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:10:47 tlr: 0.00014 tnm: 0.35 Lm: 6.518 (6.518) Lt: 5.716 (5.716) Accm: 3.37 (3.37) Acct: 5.42 (5.42) proj_loss: -0.5931 (-0.5931) time: 0.6929 data: 0.0003
[11-24 13:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:10:47 tlr: 0.00014 tnm: 0.35 Lm: 6.705 (6.705) Lt: 5.952 (5.952) Accm: 2.73 (2.73) Acct: 4.36 (4.36) proj_loss: -0.5764 (-0.5764) time: 0.6929 data: 0.0003
[11-24 13:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:07:10 tlr: 0.00014 tnm: 0.37 Lm: 6.705 (6.722) Lt: 5.966 (5.960) Accm: 2.67 (2.71) Acct: 4.30 (4.34) proj_loss: -0.5803 (-0.5852) time: 0.4871 data: 0.0003
[11-24 13:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:07:10 tlr: 0.00014 tnm: 0.37 Lm: 6.595 (6.655) Lt: 5.857 (5.911) Accm: 2.95 (2.86) Acct: 4.53 (4.55) proj_loss: -0.5944 (-0.5904) time: 0.4871 data: 0.0003
[11-24 13:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:07:10 tlr: 0.00014 tnm: 0.37 Lm: 6.545 (6.527) Lt: 5.791 (5.743) Accm: 3.24 (3.32) Acct: 5.35 (5.40) proj_loss: -0.5864 (-0.5909) time: 0.4871 data: 0.0003
[11-24 13:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:07:10 tlr: 0.00014 tnm: 0.37 Lm: 6.672 (6.642) Lt: 5.918 (5.920) Accm: 2.90 (2.92) Acct: 4.53 (4.55) proj_loss: -0.5893 (-0.5898) time: 0.4871 data: 0.0003
[11-24 13:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.35 Lm: 6.664 (6.645) Lt: 5.918 (5.920) Accm: 2.90 (2.92) Acct: 4.55 (4.58) proj_loss: -0.5865 (-0.5877) time: 0.4880 data: 0.0003
[11-24 13:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.35 Lm: 6.632 (6.658) Lt: 5.902 (5.920) Accm: 2.85 (2.84) Acct: 4.43 (4.49) proj_loss: -0.5852 (-0.5864) time: 0.4880 data: 0.0003
[11-24 13:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.35 Lm: 6.562 (6.551) Lt: 5.793 (5.782) Accm: 3.14 (3.25) Acct: 5.16 (5.22) proj_loss: -0.5840 (-0.5867) time: 0.4880 data: 0.0002
[11-24 13:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:03:31 tlr: 0.00014 tnm: 0.35 Lm: 6.705 (6.691) Lt: 5.954 (5.955) Accm: 2.73 (2.73) Acct: 4.36 (4.36) proj_loss: -0.5790 (-0.5833) time: 0.4880 data: 0.0003
[11-24 13:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.599 (6.647) Lt: 5.862 (5.909) Accm: 2.95 (2.89) Acct: 4.53 (4.53) proj_loss: -0.5944 (-0.5886) time: 0.4901 data: 0.0017
[11-24 13:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.663 (6.649) Lt: 5.918 (5.922) Accm: 2.91 (2.96) Acct: 4.58 (4.65) proj_loss: -0.5856 (-0.5873) time: 0.4901 data: 0.0016
[11-24 13:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.580 (6.596) Lt: 5.795 (5.837) Accm: 3.04 (3.13) Acct: 4.96 (4.98) proj_loss: -0.5864 (-0.5881) time: 0.4901 data: 0.0015
[11-24 13:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.705 (6.631) Lt: 5.942 (5.886) Accm: 2.79 (2.87) Acct: 4.42 (4.54) proj_loss: -0.5778 (-0.5818) time: 0.4901 data: 0.0019
[11-24 13:22:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:13:59 (0.503 s / it)
[11-24 13:22:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:13:59 (0.503 s / it)
[11-24 13:22:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:13:59 (0.503 s / it)
[11-24 13:22:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:13:59 (0.503 s / it)
[11-24 13:22:51] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.654 (6.662), Lt: 5.919 (5.932), Acc m&t: 2.99 4.72, Remain: 1 day, 18:38:10, Finish: 2024-11-25 16:01
[11-24 13:22:51] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.654 (6.662), Lt: 5.919 (5.932), Acc m&t: 2.99 4.72, Remain: 1 day, 18:37:26, Finish: 2024-11-25 16:00
[11-24 13:22:51] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.654 (6.662), Lt: 5.919 (5.932), Acc m&t: 2.99 4.72, Remain: 1 day, 18:37:39, Finish: 2024-11-25 16:00
[11-24 13:22:51] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.654 (6.662), Lt: 5.919 (5.932), Acc m&t: 2.99 4.72, Remain: 1 day, 18:37:26, Finish: 2024-11-25 16:00
[11-24 13:22:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:13:08 tlr: 0.00014 tnm: 0.35 Lm: 6.671 (6.671) Lt: 5.883 (5.883) Accm: 2.80 (2.80) Acct: 4.61 (4.61) proj_loss: -0.5722 (-0.5722) time: 0.4722 data: 0.0004
[11-24 13:22:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:13:07 tlr: 0.00014 tnm: 0.35 Lm: 6.675 (6.675) Lt: 5.927 (5.927) Accm: 2.88 (2.88) Acct: 4.32 (4.32) proj_loss: -0.5736 (-0.5736) time: 0.4718 data: 0.0004
[11-24 13:22:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:13:07 tlr: 0.00014 tnm: 0.35 Lm: 6.786 (6.786) Lt: 6.076 (6.076) Accm: 2.78 (2.78) Acct: 4.44 (4.44) proj_loss: -0.5916 (-0.5916) time: 0.4718 data: 0.0004
[11-24 13:22:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:13:06 tlr: 0.00014 tnm: 0.35 Lm: 6.646 (6.646) Lt: 5.953 (5.953) Accm: 3.10 (3.10) Acct: 4.67 (4.67) proj_loss: -0.5937 (-0.5937) time: 0.4711 data: 0.0003
[11-24 13:26:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:10:09 tlr: 0.00014 tnm: 0.36 Lm: 6.666 (6.666) Lt: 5.956 (5.956) Accm: 2.90 (2.90) Acct: 4.36 (4.36) proj_loss: -0.5865 (-0.5865) time: 0.4872 data: 0.0002
[11-24 13:26:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:10:09 tlr: 0.00014 tnm: 0.36 Lm: 6.710 (6.710) Lt: 6.003 (6.003) Accm: 2.79 (2.79) Acct: 4.42 (4.42) proj_loss: -0.5916 (-0.5916) time: 0.4871 data: 0.0003
[11-24 13:26:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.36 Lm: 6.647 (6.647) Lt: 5.886 (5.886) Accm: 3.09 (3.09) Acct: 4.73 (4.73) proj_loss: -0.5896 (-0.5896) time: 0.4871 data: 0.0003
[11-24 13:26:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.36 Lm: 6.719 (6.719) Lt: 5.967 (5.967) Accm: 2.91 (2.91) Acct: 4.62 (4.62) proj_loss: -0.5738 (-0.5738) time: 0.4871 data: 0.0003
[11-24 13:29:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:06:47 tlr: 0.00014 tnm: 0.35 Lm: 6.671 (6.691) Lt: 5.883 (5.923) Accm: 2.88 (2.90) Acct: 4.63 (4.67) proj_loss: -0.5722 (-0.5730) time: 0.4865 data: 0.0003
[11-24 13:29:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:06:47 tlr: 0.00014 tnm: 0.35 Lm: 6.620 (6.635) Lt: 5.920 (5.897) Accm: 3.04 (3.07) Acct: 4.67 (4.71) proj_loss: -0.6048 (-0.5947) time: 0.4865 data: 0.0002
[11-24 13:29:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:06:47 tlr: 0.00014 tnm: 0.35 Lm: 6.686 (6.690) Lt: 5.959 (5.997) Accm: 2.71 (2.81) Acct: 4.06 (4.22) proj_loss: -0.5937 (-0.5947) time: 0.4865 data: 0.0003
[11-24 13:29:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:06:47 tlr: 0.00014 tnm: 0.35 Lm: 6.634 (6.669) Lt: 5.931 (5.963) Accm: 2.80 (2.91) Acct: 4.44 (4.53) proj_loss: -0.5917 (-0.5948) time: 0.4865 data: 0.0003
[11-24 13:33:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:03:26 tlr: 0.00014 tnm: 0.35 Lm: 6.710 (6.708) Lt: 6.002 (5.991) Accm: 2.79 (2.83) Acct: 4.42 (4.41) proj_loss: -0.5916 (-0.5868) time: 0.5364 data: 0.0003
[11-24 13:33:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:03:26 tlr: 0.00014 tnm: 0.35 Lm: 6.666 (6.618) Lt: 5.956 (5.915) Accm: 2.90 (3.06) Acct: 4.36 (4.56) proj_loss: -0.5933 (-0.5942) time: 0.5364 data: 0.0002
[11-24 13:33:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:03:26 tlr: 0.00014 tnm: 0.35 Lm: 6.616 (6.629) Lt: 5.905 (5.895) Accm: 3.11 (3.10) Acct: 4.77 (4.75) proj_loss: -0.5993 (-0.5944) time: 0.5364 data: 0.0002
[11-24 13:33:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:03:26 tlr: 0.00014 tnm: 0.35 Lm: 6.654 (6.667) Lt: 5.859 (5.893) Accm: 2.95 (3.00) Acct: 4.69 (4.88) proj_loss: -0.5738 (-0.5769) time: 0.5364 data: 0.0003
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.671 (6.679) Lt: 5.883 (5.921) Accm: 2.88 (2.93) Acct: 4.63 (4.73) proj_loss: -0.5754 (-0.5787) time: 0.4898 data: 0.0016
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:13:58 (0.503 s / it)
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.786 (6.737) Lt: 6.073 (6.016) Accm: 2.78 (2.77) Acct: 4.41 (4.39) proj_loss: -0.5916 (-0.5871) time: 0.4898 data: 0.0019
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.613 (6.623) Lt: 5.890 (5.894) Accm: 3.04 (3.07) Acct: 4.67 (4.68) proj_loss: -0.5937 (-0.5942) time: 0.4898 data: 0.0018
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.662 (6.626) Lt: 5.959 (5.925) Accm: 3.10 (3.09) Acct: 4.67 (4.64) proj_loss: -0.5937 (-0.5971) time: 0.4898 data: 0.0015
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:13:58 (0.503 s / it)
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:13:58 (0.503 s / it)
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:13:58 (0.503 s / it)
[11-24 13:36:50] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.654 (6.667), Lt: 5.919 (5.937), Acc m&t: 2.99 4.72, Remain: 1 day, 18:28:05, Finish: 2024-11-25 16:04
[11-24 13:36:50] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.654 (6.667), Lt: 5.919 (5.937), Acc m&t: 2.99 4.72, Remain: 1 day, 18:28:36, Finish: 2024-11-25 16:05
[11-24 13:36:50] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.654 (6.667), Lt: 5.919 (5.937), Acc m&t: 2.99 4.72, Remain: 1 day, 18:27:47, Finish: 2024-11-25 16:04
[11-24 13:36:50] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.654 (6.667), Lt: 5.919 (5.937), Acc m&t: 2.99 4.72, Remain: 1 day, 18:28:32, Finish: 2024-11-25 16:05
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:12:55 tlr: 0.00014 tnm: 0.36 Lm: 6.698 (6.698) Lt: 6.013 (6.013) Accm: 2.83 (2.83) Acct: 4.55 (4.55) proj_loss: -0.5958 (-0.5958) time: 0.4647 data: 0.0004
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:12:53 tlr: 0.00014 tnm: 0.36 Lm: 6.526 (6.526) Lt: 5.818 (5.818) Accm: 3.44 (3.44) Acct: 5.58 (5.58) proj_loss: -0.5983 (-0.5983) time: 0.4637 data: 0.0003
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:12:47 tlr: 0.00014 tnm: 0.36 Lm: 6.688 (6.688) Lt: 5.906 (5.906) Accm: 2.90 (2.90) Acct: 4.96 (4.96) proj_loss: -0.5910 (-0.5910) time: 0.4599 data: 0.0003
[11-24 13:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:12:47 tlr: 0.00014 tnm: 0.36 Lm: 6.499 (6.499) Lt: 5.758 (5.758) Accm: 3.45 (3.45) Acct: 5.35 (5.35) proj_loss: -0.5998 (-0.5998) time: 0.4601 data: 0.0003
[11-24 13:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.39 Lm: 6.568 (6.568) Lt: 5.834 (5.834) Accm: 3.28 (3.28) Acct: 5.12 (5.12) proj_loss: -0.5928 (-0.5928) time: 0.4898 data: 0.0003
[11-24 13:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.39 Lm: 6.688 (6.688) Lt: 5.903 (5.903) Accm: 2.81 (2.81) Acct: 4.62 (4.62) proj_loss: -0.5914 (-0.5914) time: 0.4898 data: 0.0002
[11-24 13:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.39 Lm: 6.571 (6.571) Lt: 5.849 (5.849) Accm: 3.43 (3.43) Acct: 5.54 (5.54) proj_loss: -0.5845 (-0.5845) time: 0.4898 data: 0.0003
[11-24 13:40:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.39 Lm: 6.730 (6.730) Lt: 5.995 (5.995) Accm: 2.84 (2.84) Acct: 4.57 (4.57) proj_loss: -0.5853 (-0.5853) time: 0.4898 data: 0.0003
[11-24 13:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:06:46 tlr: 0.00014 tnm: 0.37 Lm: 6.698 (6.694) Lt: 5.977 (5.951) Accm: 2.86 (2.85) Acct: 4.60 (4.60) proj_loss: -0.5767 (-0.5824) time: 0.4845 data: 0.0003
[11-24 13:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:06:46 tlr: 0.00014 tnm: 0.37 Lm: 6.615 (6.646) Lt: 5.881 (5.949) Accm: 3.42 (3.09) Acct: 5.51 (4.93) proj_loss: -0.5963 (-0.5884) time: 0.4845 data: 0.0003
[11-24 13:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:06:46 tlr: 0.00014 tnm: 0.37 Lm: 6.688 (6.627) Lt: 5.901 (5.847) Accm: 2.90 (3.09) Acct: 4.96 (4.99) proj_loss: -0.5910 (-0.5867) time: 0.4845 data: 0.0002
[11-24 13:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:06:46 tlr: 0.00014 tnm: 0.37 Lm: 6.637 (6.618) Lt: 5.909 (5.890) Accm: 3.10 (3.08) Acct: 4.89 (4.79) proj_loss: -0.5980 (-0.5945) time: 0.4845 data: 0.0002
[11-24 13:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:03:23 tlr: 0.00014 tnm: 0.37 Lm: 6.678 (6.656) Lt: 5.956 (5.937) Accm: 2.89 (2.97) Acct: 4.55 (4.64) proj_loss: -0.5989 (-0.5981) time: 0.4880 data: 0.0002
[11-24 13:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:03:23 tlr: 0.00014 tnm: 0.37 Lm: 6.688 (6.666) Lt: 5.903 (5.904) Accm: 2.94 (3.06) Acct: 4.67 (4.84) proj_loss: -0.5914 (-0.5893) time: 0.4880 data: 0.0003
[11-24 13:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:03:23 tlr: 0.00014 tnm: 0.37 Lm: 6.730 (6.713) Lt: 5.993 (5.966) Accm: 2.86 (2.92) Acct: 4.63 (4.77) proj_loss: -0.5814 (-0.5833) time: 0.4880 data: 0.0003
[11-24 13:47:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:03:23 tlr: 0.00014 tnm: 0.37 Lm: 6.683 (6.672) Lt: 5.968 (5.976) Accm: 3.11 (3.02) Acct: 4.96 (4.80) proj_loss: -0.5905 (-0.5875) time: 0.4880 data: 0.0003
[11-24 13:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.615 (6.649) Lt: 5.881 (5.940) Accm: 3.21 (3.06) Acct: 5.08 (4.86) proj_loss: -0.5963 (-0.5900) time: 0.4880 data: 0.0016
[11-24 13:50:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:13:33 (0.487 s / it)
[11-24 13:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.646 (6.654) Lt: 5.913 (5.932) Accm: 2.78 (2.93) Acct: 4.41 (4.60) proj_loss: -0.5980 (-0.5939) time: 0.4880 data: 0.0016
[11-24 13:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.688 (6.675) Lt: 5.906 (5.919) Accm: 2.90 (2.98) Acct: 4.39 (4.72) proj_loss: -0.5917 (-0.5933) time: 0.4880 data: 0.0016
[11-24 13:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.761 (6.725) Lt: 6.009 (5.987) Accm: 2.86 (2.88) Acct: 4.60 (4.65) proj_loss: -0.5767 (-0.5816) time: 0.4880 data: 0.0017
[11-24 13:50:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:13:33 (0.487 s / it)
[11-24 13:50:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:13:33 (0.487 s / it)
[11-24 13:50:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:13:33 (0.487 s / it)
[11-24 13:50:23] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.648 (6.648), Lt: 5.915 (5.915), Acc m&t: 3.00 4.74, Remain: 1 day, 18:12:31, Finish: 2024-11-25 16:02
[11-24 13:50:23] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.648 (6.648), Lt: 5.915 (5.915), Acc m&t: 3.00 4.74, Remain: 1 day, 18:11:19, Finish: 2024-11-25 16:01
[11-24 13:50:23] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.648 (6.648), Lt: 5.915 (5.915), Acc m&t: 3.00 4.74, Remain: 1 day, 18:10:50, Finish: 2024-11-25 16:01
[11-24 13:50:23] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.648 (6.648), Lt: 5.915 (5.915), Acc m&t: 3.00 4.74, Remain: 1 day, 18:11:37, Finish: 2024-11-25 16:02
[11-24 13:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:13:14 tlr: 0.00014 tnm: 0.38 Lm: 6.630 (6.630) Lt: 5.868 (5.868) Accm: 3.06 (3.06) Acct: 4.92 (4.92) proj_loss: -0.5958 (-0.5958) time: 0.4757 data: 0.0003
[11-24 13:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:13:14 tlr: 0.00014 tnm: 0.38 Lm: 6.594 (6.594) Lt: 5.829 (5.829) Accm: 3.08 (3.08) Acct: 5.17 (5.17) proj_loss: -0.5902 (-0.5902) time: 0.4761 data: 0.0003
[11-24 13:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:13:14 tlr: 0.00014 tnm: 0.38 Lm: 6.499 (6.499) Lt: 5.738 (5.738) Accm: 3.13 (3.13) Acct: 4.92 (4.92) proj_loss: -0.5998 (-0.5998) time: 0.4763 data: 0.0003
[11-24 13:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:13:14 tlr: 0.00014 tnm: 0.38 Lm: 6.744 (6.744) Lt: 6.029 (6.029) Accm: 2.61 (2.61) Acct: 4.18 (4.18) proj_loss: -0.5976 (-0.5976) time: 0.4760 data: 0.0004
[11-24 13:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:11:15 tlr: 0.00014 tnm: 0.36 Lm: 6.798 (6.798) Lt: 6.090 (6.090) Accm: 2.62 (2.62) Acct: 4.17 (4.17) proj_loss: -0.5896 (-0.5896) time: 0.5922 data: 0.0003
[11-24 13:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:11:15 tlr: 0.00014 tnm: 0.36 Lm: 6.658 (6.658) Lt: 5.936 (5.936) Accm: 2.95 (2.95) Acct: 4.68 (4.68) proj_loss: -0.5978 (-0.5978) time: 0.5922 data: 0.0003
[11-24 13:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:11:15 tlr: 0.00014 tnm: 0.36 Lm: 6.590 (6.590) Lt: 5.866 (5.866) Accm: 2.97 (2.97) Acct: 4.60 (4.60) proj_loss: -0.5983 (-0.5983) time: 0.5923 data: 0.0003
[11-24 13:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:11:15 tlr: 0.00014 tnm: 0.36 Lm: 6.591 (6.591) Lt: 5.830 (5.830) Accm: 3.08 (3.08) Acct: 4.93 (4.93) proj_loss: -0.5988 (-0.5988) time: 0.5922 data: 0.0003
[11-24 13:57:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:07:12 tlr: 0.00014 tnm: 0.37 Lm: 6.602 (6.594) Lt: 5.845 (5.835) Accm: 3.10 (3.11) Acct: 4.94 (4.95) proj_loss: -0.5958 (-0.5953) time: 0.4823 data: 0.0003
[11-24 13:57:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:07:12 tlr: 0.00014 tnm: 0.37 Lm: 6.744 (6.683) Lt: 6.029 (5.974) Accm: 2.62 (2.96) Acct: 4.18 (4.71) proj_loss: -0.5976 (-0.5948) time: 0.4822 data: 0.0003
[11-24 13:57:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:07:12 tlr: 0.00014 tnm: 0.37 Lm: 6.689 (6.668) Lt: 5.969 (5.947) Accm: 2.81 (2.88) Acct: 4.65 (4.67) proj_loss: -0.5902 (-0.5931) time: 0.4822 data: 0.0002
[11-24 13:57:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:07:12 tlr: 0.00014 tnm: 0.37 Lm: 6.672 (6.618) Lt: 5.932 (5.888) Accm: 2.81 (2.90) Acct: 4.48 (4.56) proj_loss: -0.5967 (-0.5966) time: 0.4822 data: 0.0003
[11-24 14:00:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:03:32 tlr: 0.00014 tnm: 0.37 Lm: 6.637 (6.614) Lt: 5.893 (5.879) Accm: 2.91 (2.93) Acct: 4.70 (4.67) proj_loss: -0.5951 (-0.5914) time: 0.4886 data: 0.0003
[11-24 14:00:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:03:32 tlr: 0.00014 tnm: 0.37 Lm: 6.616 (6.616) Lt: 5.857 (5.853) Accm: 3.10 (3.10) Acct: 4.95 (4.95) proj_loss: -0.5920 (-0.5911) time: 0.4886 data: 0.0003
[11-24 14:00:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:03:32 tlr: 0.00014 tnm: 0.37 Lm: 6.695 (6.674) Lt: 5.967 (5.957) Accm: 2.85 (2.99) Acct: 4.45 (4.71) proj_loss: -0.5896 (-0.5910) time: 0.4886 data: 0.0003
[11-24 14:00:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:03:32 tlr: 0.00014 tnm: 0.37 Lm: 6.701 (6.680) Lt: 5.984 (5.960) Accm: 2.79 (2.85) Acct: 4.42 (4.55) proj_loss: -0.5932 (-0.5939) time: 0.4886 data: 0.0003
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.713 (6.726) Lt: 5.999 (6.004) Accm: 2.76 (2.71) Acct: 4.20 (4.36) proj_loss: -0.5902 (-0.5872) time: 0.4845 data: 0.0019
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:14:00 (0.504 s / it)
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.723 (6.683) Lt: 6.000 (5.965) Accm: 2.62 (2.88) Acct: 4.18 (4.53) proj_loss: -0.5816 (-0.5859) time: 0.4845 data: 0.0016
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.672 (6.660) Lt: 5.932 (5.929) Accm: 2.81 (2.86) Acct: 4.48 (4.52) proj_loss: -0.5967 (-0.5932) time: 0.4845 data: 0.0015
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.36 Lm: 6.630 (6.636) Lt: 5.868 (5.898) Accm: 3.09 (3.08) Acct: 4.94 (4.88) proj_loss: -0.5958 (-0.5938) time: 0.4845 data: 0.0018
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:14:00 (0.504 s / it)
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:14:00 (0.504 s / it)
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:14:00 (0.504 s / it)
[11-24 14:04:24] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.644 (6.644), Lt: 5.915 (5.916), Acc m&t: 3.00 4.74, Remain: 1 day, 17:53:11, Finish: 2024-11-25 15:57
[11-24 14:04:24] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.644 (6.644), Lt: 5.915 (5.916), Acc m&t: 3.00 4.74, Remain: 1 day, 17:51:42, Finish: 2024-11-25 15:56
[11-24 14:04:24] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.644 (6.644), Lt: 5.915 (5.916), Acc m&t: 3.00 4.74, Remain: 1 day, 17:51:44, Finish: 2024-11-25 15:56
[11-24 14:04:24] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.644 (6.644), Lt: 5.915 (5.916), Acc m&t: 3.00 4.74, Remain: 1 day, 17:52:15, Finish: 2024-11-25 15:56
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:13:12 tlr: 0.00014 tnm: 0.35 Lm: 6.602 (6.602) Lt: 5.867 (5.867) Accm: 3.10 (3.10) Acct: 4.96 (4.96) proj_loss: -0.5904 (-0.5904) time: 0.4747 data: 0.0003
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:13:11 tlr: 0.00014 tnm: 0.35 Lm: 6.740 (6.740) Lt: 5.965 (5.965) Accm: 2.70 (2.70) Acct: 4.58 (4.58) proj_loss: -0.5839 (-0.5839) time: 0.4743 data: 0.0004
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:13:12 tlr: 0.00014 tnm: 0.35 Lm: 6.598 (6.598) Lt: 5.847 (5.847) Accm: 2.99 (2.99) Acct: 5.08 (5.08) proj_loss: -0.5892 (-0.5892) time: 0.4748 data: 0.0004
[11-24 14:04:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:13:12 tlr: 0.00014 tnm: 0.35 Lm: 6.653 (6.653) Lt: 5.967 (5.967) Accm: 2.83 (2.83) Acct: 4.29 (4.29) proj_loss: -0.5986 (-0.5986) time: 0.4748 data: 0.0004
[11-24 14:07:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.37 Lm: 6.689 (6.689) Lt: 6.005 (6.005) Accm: 2.73 (2.73) Acct: 4.09 (4.09) proj_loss: -0.5889 (-0.5889) time: 0.4894 data: 0.0003
[11-24 14:07:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.37 Lm: 6.790 (6.790) Lt: 6.035 (6.035) Accm: 2.56 (2.56) Acct: 4.30 (4.30) proj_loss: -0.5770 (-0.5770) time: 0.4894 data: 0.0003
[11-24 14:07:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.37 Lm: 6.654 (6.654) Lt: 5.917 (5.917) Accm: 2.97 (2.97) Acct: 4.67 (4.67) proj_loss: -0.5790 (-0.5790) time: 0.4894 data: 0.0002
[11-24 14:07:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:10:10 tlr: 0.00014 tnm: 0.37 Lm: 6.684 (6.684) Lt: 5.971 (5.971) Accm: 2.84 (2.84) Acct: 4.62 (4.62) proj_loss: -0.5915 (-0.5915) time: 0.4894 data: 0.0003
[11-24 14:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:06:52 tlr: 0.00014 tnm: 0.37 Lm: 6.734 (6.701) Lt: 5.982 (5.975) Accm: 2.70 (2.75) Acct: 4.17 (4.46) proj_loss: -0.5895 (-0.5909) time: 0.5387 data: 0.0003
[11-24 14:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:06:52 tlr: 0.00014 tnm: 0.37 Lm: 6.740 (6.735) Lt: 5.965 (5.974) Accm: 2.70 (2.80) Acct: 4.58 (4.53) proj_loss: -0.5709 (-0.5750) time: 0.5387 data: 0.0003
[11-24 14:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:06:52 tlr: 0.00014 tnm: 0.37 Lm: 6.706 (6.699) Lt: 5.966 (5.965) Accm: 2.85 (2.83) Acct: 4.39 (4.51) proj_loss: -0.5754 (-0.5778) time: 0.5387 data: 0.0002
[11-24 14:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:06:52 tlr: 0.00014 tnm: 0.37 Lm: 6.653 (6.666) Lt: 5.967 (5.968) Accm: 2.83 (2.87) Acct: 4.29 (4.30) proj_loss: -0.5986 (-0.5940) time: 0.5387 data: 0.0003
[11-24 14:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:03:28 tlr: 0.00014 tnm: 0.38 Lm: 6.636 (6.636) Lt: 5.930 (5.932) Accm: 2.99 (2.98) Acct: 4.51 (4.49) proj_loss: -0.5889 (-0.5898) time: 0.5913 data: 0.0003
[11-24 14:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:03:28 tlr: 0.00014 tnm: 0.38 Lm: 6.675 (6.686) Lt: 5.945 (5.955) Accm: 2.86 (2.84) Acct: 4.50 (4.53) proj_loss: -0.5726 (-0.5758) time: 0.5913 data: 0.0003
[11-24 14:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:03:28 tlr: 0.00014 tnm: 0.38 Lm: 6.685 (6.685) Lt: 5.942 (5.957) Accm: 2.84 (2.82) Acct: 4.40 (4.50) proj_loss: -0.5894 (-0.5895) time: 0.5913 data: 0.0003
[11-24 14:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:03:28 tlr: 0.00014 tnm: 0.38 Lm: 6.682 (6.690) Lt: 5.909 (5.942) Accm: 2.80 (2.83) Acct: 4.59 (4.55) proj_loss: -0.5774 (-0.5815) time: 0.5913 data: 0.0003
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.673 (6.687) Lt: 5.909 (5.935) Accm: 2.91 (2.86) Acct: 4.60 (4.57) proj_loss: -0.5709 (-0.5768) time: 0.4869 data: 0.0019
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:13:59 (0.503 s / it)
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.637 (6.671) Lt: 5.902 (5.940) Accm: 2.94 (2.84) Acct: 4.63 (4.54) proj_loss: -0.5895 (-0.5927) time: 0.4869 data: 0.0016
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.645 (6.650) Lt: 5.924 (5.901) Accm: 2.86 (2.95) Acct: 4.61 (4.68) proj_loss: -0.5754 (-0.5795) time: 0.4869 data: 0.0016
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.35 Lm: 6.619 (6.611) Lt: 5.892 (5.908) Accm: 3.15 (3.04) Acct: 4.73 (4.55) proj_loss: -0.5929 (-0.5904) time: 0.4869 data: 0.0017
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:13:59 (0.503 s / it)
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:13:59 (0.503 s / it)
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:13:59 (0.503 s / it)
[11-24 14:18:24] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.644 (6.655), Lt: 5.915 (5.923), Acc m&t: 3.00 4.74, Remain: 1 day, 17:39:30, Finish: 2024-11-25 15:57
[11-24 14:18:24] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.644 (6.655), Lt: 5.915 (5.923), Acc m&t: 3.00 4.74, Remain: 1 day, 17:39:33, Finish: 2024-11-25 15:57
[11-24 14:18:24] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.644 (6.655), Lt: 5.915 (5.923), Acc m&t: 3.00 4.74, Remain: 1 day, 17:38:56, Finish: 2024-11-25 15:57
[11-24 14:18:24] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.644 (6.655), Lt: 5.915 (5.923), Acc m&t: 3.00 4.74, Remain: 1 day, 17:38:54, Finish: 2024-11-25 15:57
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:12:50 tlr: 0.00014 tnm: 0.35 Lm: 6.614 (6.614) Lt: 5.884 (5.884) Accm: 3.34 (3.34) Acct: 5.08 (5.08) proj_loss: -0.5845 (-0.5845) time: 0.4614 data: 0.0003
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:12:51 tlr: 0.00014 tnm: 0.35 Lm: 6.723 (6.723) Lt: 5.982 (5.982) Accm: 2.49 (2.49) Acct: 3.98 (3.98) proj_loss: -0.5707 (-0.5707) time: 0.4622 data: 0.0004
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:12:51 tlr: 0.00014 tnm: 0.35 Lm: 6.513 (6.513) Lt: 5.735 (5.735) Accm: 3.24 (3.24) Acct: 5.22 (5.22) proj_loss: -0.5853 (-0.5853) time: 0.4623 data: 0.0003
[11-24 14:18:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:12:51 tlr: 0.00014 tnm: 0.35 Lm: 6.662 (6.662) Lt: 5.929 (5.929) Accm: 2.93 (2.93) Acct: 4.67 (4.67) proj_loss: -0.5890 (-0.5890) time: 0.4622 data: 0.0004
[11-24 14:21:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:10:07 tlr: 0.00013 tnm: 0.37 Lm: 6.605 (6.605) Lt: 5.818 (5.818) Accm: 3.00 (3.00) Acct: 4.77 (4.77) proj_loss: -0.5762 (-0.5762) time: 0.4853 data: 0.0003
[11-24 14:21:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:10:07 tlr: 0.00013 tnm: 0.37 Lm: 6.553 (6.553) Lt: 5.798 (5.798) Accm: 3.18 (3.18) Acct: 5.20 (5.20) proj_loss: -0.5773 (-0.5773) time: 0.4853 data: 0.0003
[11-24 14:21:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:10:07 tlr: 0.00013 tnm: 0.37 Lm: 6.602 (6.602) Lt: 5.891 (5.891) Accm: 3.30 (3.30) Acct: 5.12 (5.12) proj_loss: -0.5894 (-0.5894) time: 0.4853 data: 0.0003
[11-24 14:21:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:10:07 tlr: 0.00013 tnm: 0.37 Lm: 6.720 (6.720) Lt: 5.962 (5.962) Accm: 2.51 (2.51) Acct: 4.12 (4.12) proj_loss: -0.5818 (-0.5818) time: 0.4853 data: 0.0003
[11-24 14:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:06:45 tlr: 0.00013 tnm: 0.37 Lm: 6.717 (6.671) Lt: 5.942 (5.934) Accm: 2.52 (2.69) Acct: 4.27 (4.31) proj_loss: -0.5930 (-0.5910) time: 0.4850 data: 0.0002
[11-24 14:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:06:45 tlr: 0.00013 tnm: 0.37 Lm: 6.589 (6.584) Lt: 5.884 (5.837) Accm: 3.34 (3.40) Acct: 5.17 (5.33) proj_loss: -0.5845 (-0.5857) time: 0.4850 data: 0.0002
[11-24 14:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:06:45 tlr: 0.00013 tnm: 0.37 Lm: 6.593 (6.567) Lt: 5.861 (5.820) Accm: 3.12 (3.10) Acct: 5.18 (4.96) proj_loss: -0.5693 (-0.5726) time: 0.4850 data: 0.0003
[11-24 14:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:06:45 tlr: 0.00013 tnm: 0.37 Lm: 6.608 (6.606) Lt: 5.897 (5.845) Accm: 3.07 (3.13) Acct: 4.87 (4.86) proj_loss: -0.5890 (-0.5899) time: 0.4850 data: 0.0002
[11-24 14:28:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 0.36 Lm: 6.635 (6.628) Lt: 5.913 (5.871) Accm: 3.00 (3.07) Acct: 4.77 (4.74) proj_loss: -0.5788 (-0.5846) time: 0.4880 data: 0.0002
[11-24 14:28:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 0.36 Lm: 6.686 (6.667) Lt: 5.924 (5.927) Accm: 2.79 (2.79) Acct: 4.48 (4.44) proj_loss: -0.5911 (-0.5905) time: 0.4880 data: 0.0003
[11-24 14:28:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 0.36 Lm: 6.569 (6.574) Lt: 5.819 (5.817) Accm: 3.34 (3.39) Acct: 5.20 (5.31) proj_loss: -0.5869 (-0.5866) time: 0.4879 data: 0.0003
[11-24 14:28:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 0.36 Lm: 6.594 (6.606) Lt: 5.862 (5.847) Accm: 3.05 (3.07) Acct: 5.03 (4.94) proj_loss: -0.5714 (-0.5728) time: 0.4879 data: 0.0003
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.596 (6.641) Lt: 5.863 (5.904) Accm: 2.98 (3.01) Acct: 4.87 (4.75) proj_loss: -0.5736 (-0.5802) time: 0.5957 data: 0.0015
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:13:39 (0.491 s / it)
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.656 (6.661) Lt: 5.942 (5.934) Accm: 3.04 (2.84) Acct: 4.67 (4.49) proj_loss: -0.5930 (-0.5937) time: 0.5957 data: 0.0018
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.662 (6.649) Lt: 5.929 (5.891) Accm: 2.93 (3.01) Acct: 4.67 (4.66) proj_loss: -0.5707 (-0.5818) time: 0.5957 data: 0.0020
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.589 (6.605) Lt: 5.884 (5.853) Accm: 3.34 (3.29) Acct: 5.17 (5.15) proj_loss: -0.5845 (-0.5842) time: 0.5957 data: 0.0019
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:13:39 (0.491 s / it)
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:13:39 (0.491 s / it)
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:13:39 (0.491 s / it)
[11-24 14:32:03] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.644 (6.650), Lt: 5.915 (5.917), Acc m&t: 3.00 4.74, Remain: 1 day, 17:29:52, Finish: 2024-11-25 16:01
[11-24 14:32:03] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.644 (6.650), Lt: 5.915 (5.917), Acc m&t: 3.00 4.74, Remain: 1 day, 17:30:29, Finish: 2024-11-25 16:02
[11-24 14:32:03] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.644 (6.650), Lt: 5.915 (5.917), Acc m&t: 3.00 4.74, Remain: 1 day, 17:29:39, Finish: 2024-11-25 16:01
[11-24 14:32:03] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.644 (6.650), Lt: 5.915 (5.917), Acc m&t: 3.00 4.74, Remain: 1 day, 17:30:20, Finish: 2024-11-25 16:02
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:13:10 tlr: 0.00013 tnm: 0.37 Lm: 6.678 (6.678) Lt: 5.922 (5.922) Accm: 3.01 (3.01) Acct: 4.58 (4.58) proj_loss: -0.6045 (-0.6045) time: 0.4737 data: 0.0004
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:13:11 tlr: 0.00013 tnm: 0.37 Lm: 6.747 (6.747) Lt: 6.027 (6.027) Accm: 2.88 (2.88) Acct: 4.44 (4.44) proj_loss: -0.6017 (-0.6017) time: 0.4740 data: 0.0004
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:13:10 tlr: 0.00013 tnm: 0.37 Lm: 6.763 (6.763) Lt: 6.047 (6.047) Accm: 2.69 (2.69) Acct: 4.29 (4.29) proj_loss: -0.5974 (-0.5974) time: 0.4737 data: 0.0004
[11-24 14:32:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:13:11 tlr: 0.00013 tnm: 0.37 Lm: 6.717 (6.717) Lt: 5.959 (5.959) Accm: 2.91 (2.91) Acct: 4.58 (4.58) proj_loss: -0.5850 (-0.5850) time: 0.4741 data: 0.0004
[11-24 14:35:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:11:02 tlr: 0.00013 tnm: 0.38 Lm: 6.630 (6.630) Lt: 5.877 (5.877) Accm: 2.96 (2.96) Acct: 4.58 (4.58) proj_loss: -0.5900 (-0.5900) time: 0.4853 data: 0.0003
[11-24 14:35:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:11:02 tlr: 0.00013 tnm: 0.38 Lm: 6.772 (6.772) Lt: 6.075 (6.075) Accm: 2.67 (2.67) Acct: 4.22 (4.22) proj_loss: -0.5882 (-0.5882) time: 0.4853 data: 0.0003
[11-24 14:35:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:11:02 tlr: 0.00013 tnm: 0.38 Lm: 6.731 (6.731) Lt: 6.017 (6.017) Accm: 2.84 (2.84) Acct: 4.46 (4.46) proj_loss: -0.6048 (-0.6048) time: 0.4853 data: 0.0003
[11-24 14:35:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:11:02 tlr: 0.00013 tnm: 0.38 Lm: 6.713 (6.713) Lt: 5.967 (5.967) Accm: 2.92 (2.92) Acct: 4.54 (4.54) proj_loss: -0.5990 (-0.5990) time: 0.4853 data: 0.0003
[11-24 14:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:07:09 tlr: 0.00013 tnm: 0.37 Lm: 6.692 (6.706) Lt: 6.013 (5.987) Accm: 3.01 (2.96) Acct: 4.58 (4.60) proj_loss: -0.6045 (-0.6044) time: 0.4886 data: 0.0003
[11-24 14:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:07:09 tlr: 0.00013 tnm: 0.37 Lm: 6.716 (6.700) Lt: 6.006 (5.970) Accm: 2.88 (2.91) Acct: 4.48 (4.55) proj_loss: -0.6017 (-0.6018) time: 0.4886 data: 0.0003
[11-24 14:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:07:09 tlr: 0.00013 tnm: 0.37 Lm: 6.763 (6.703) Lt: 6.047 (6.003) Accm: 2.69 (2.84) Acct: 4.29 (4.55) proj_loss: -0.5896 (-0.5887) time: 0.4886 data: 0.0003
[11-24 14:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:07:09 tlr: 0.00013 tnm: 0.37 Lm: 6.549 (6.603) Lt: 5.844 (5.866) Accm: 3.02 (3.02) Acct: 4.58 (4.73) proj_loss: -0.5850 (-0.5880) time: 0.4886 data: 0.0003
[11-24 14:42:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:03:31 tlr: 0.00013 tnm: 0.36 Lm: 6.579 (6.605) Lt: 5.837 (5.857) Accm: 2.96 (2.97) Acct: 4.58 (4.70) proj_loss: -0.5900 (-0.5925) time: 0.4856 data: 0.0003
[11-24 14:42:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:03:31 tlr: 0.00013 tnm: 0.36 Lm: 6.717 (6.715) Lt: 6.010 (5.993) Accm: 2.92 (2.89) Acct: 4.54 (4.47) proj_loss: -0.6065 (-0.6055) time: 0.4856 data: 0.0003
[11-24 14:42:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:03:31 tlr: 0.00013 tnm: 0.36 Lm: 6.692 (6.682) Lt: 5.997 (5.989) Accm: 2.88 (2.90) Acct: 4.55 (4.62) proj_loss: -0.5935 (-0.5912) time: 0.4856 data: 0.0003
[11-24 14:42:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:03:31 tlr: 0.00013 tnm: 0.36 Lm: 6.731 (6.719) Lt: 6.017 (5.986) Accm: 2.88 (2.90) Acct: 4.52 (4.55) proj_loss: -0.5988 (-0.5926) time: 0.4856 data: 0.0003
[11-24 14:46:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.716 (6.668) Lt: 6.006 (5.923) Accm: 2.88 (3.00) Acct: 4.56 (4.70) proj_loss: -0.6016 (-0.5944) time: 0.4889 data: 0.0019
[11-24 14:46:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:13:56 (0.501 s / it)
[11-24 14:46:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.674 (6.681) Lt: 5.946 (5.971) Accm: 2.97 (2.91) Acct: 4.77 (4.65) proj_loss: -0.5933 (-0.5916) time: 0.4889 data: 0.0015
[11-24 14:46:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.692 (6.705) Lt: 6.008 (5.979) Accm: 2.84 (2.86) Acct: 4.49 (4.45) proj_loss: -0.6045 (-0.5998) time: 0.4889 data: 0.0016
[11-24 14:46:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.549 (6.586) Lt: 5.831 (5.840) Accm: 3.02 (3.02) Acct: 4.58 (4.75) proj_loss: -0.5850 (-0.5878) time: 0.4889 data: 0.0016
[11-24 14:46:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:13:56 (0.501 s / it)
[11-24 14:46:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:13:56 (0.501 s / it)
[11-24 14:46:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:13:56 (0.501 s / it)
[11-24 14:48:09] (home/user/VAR/trainer.py, line 114)=> FID: 4.008294839853761
[11-24 14:48:10] (/home/user/VAR/train.py , line 259)=> [*] [ep169] (val 50000) Lm: 6.6406, Lt: 5.9041, Acc m&t: 3.01 4.76, Val cost: 129.79s
[11-24 14:48:10] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 14:48:35] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.641 (6.641), Lt: 5.904 (5.904), Acc m&t: 3.01 4.76, Remain: 1 day, 17:20:46, Finish: 2024-11-25 16:06
[11-24 14:48:35] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.641 (6.641), Lt: 5.904 (5.904), Acc m&t: 3.01 4.76, Remain: 1 day, 17:21:13, Finish: 2024-11-25 16:07
[11-24 14:48:35] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.641 (6.641), Lt: 5.904 (5.904), Acc m&t: 3.01 4.76, Remain: 1 day, 17:20:36, Finish: 2024-11-25 16:06
[11-24 14:48:35] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.641 (6.641), Lt: 5.904 (5.904), Acc m&t: 3.01 4.76, Remain: 1 day, 17:20:50, Finish: 2024-11-25 16:06
[11-24 14:48:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:13:13 tlr: 0.00013 tnm: 0.38 Lm: 6.730 (6.730) Lt: 5.971 (5.971) Accm: 2.76 (2.76) Acct: 4.39 (4.39) proj_loss: -0.5618 (-0.5618) time: 0.4754 data: 0.0003
[11-24 14:48:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:13:12 tlr: 0.00013 tnm: 0.38 Lm: 6.803 (6.803) Lt: 6.088 (6.088) Accm: 2.59 (2.59) Acct: 4.29 (4.29) proj_loss: -0.5844 (-0.5844) time: 0.4750 data: 0.0004
[11-24 14:48:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:13:12 tlr: 0.00013 tnm: 0.38 Lm: 6.622 (6.622) Lt: 5.827 (5.827) Accm: 3.11 (3.11) Acct: 4.99 (4.99) proj_loss: -0.5810 (-0.5810) time: 0.4748 data: 0.0004
[11-24 14:48:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:13:13 tlr: 0.00013 tnm: 0.38 Lm: 6.471 (6.471) Lt: 5.723 (5.723) Accm: 3.48 (3.48) Acct: 5.42 (5.42) proj_loss: -0.5721 (-0.5721) time: 0.4752 data: 0.0003
[11-24 14:51:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.38 Lm: 6.530 (6.530) Lt: 5.767 (5.767) Accm: 3.29 (3.29) Acct: 5.25 (5.25) proj_loss: -0.5780 (-0.5780) time: 0.4900 data: 0.0002
[11-24 14:51:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.38 Lm: 6.674 (6.674) Lt: 5.938 (5.938) Accm: 2.90 (2.90) Acct: 4.54 (4.54) proj_loss: -0.5710 (-0.5710) time: 0.4900 data: 0.0002
[11-24 14:51:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.38 Lm: 6.649 (6.649) Lt: 5.894 (5.894) Accm: 3.11 (3.11) Acct: 4.84 (4.84) proj_loss: -0.5815 (-0.5815) time: 0.4900 data: 0.0003
[11-24 14:51:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.38 Lm: 6.694 (6.694) Lt: 5.987 (5.987) Accm: 2.75 (2.75) Acct: 4.37 (4.37) proj_loss: -0.5859 (-0.5859) time: 0.4900 data: 0.0002
[11-24 14:55:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:06:55 tlr: 0.00013 tnm: 0.38 Lm: 6.585 (6.649) Lt: 5.887 (5.906) Accm: 2.91 (2.87) Acct: 4.46 (4.68) proj_loss: -0.5873 (-0.5876) time: 0.4862 data: 0.0003
[11-24 14:55:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:06:55 tlr: 0.00013 tnm: 0.38 Lm: 6.590 (6.581) Lt: 5.811 (5.828) Accm: 3.10 (3.18) Acct: 5.08 (4.95) proj_loss: -0.5839 (-0.5839) time: 0.4862 data: 0.0003
[11-24 14:55:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:06:55 tlr: 0.00013 tnm: 0.38 Lm: 6.675 (6.674) Lt: 5.962 (5.935) Accm: 3.11 (2.93) Acct: 4.68 (4.58) proj_loss: -0.5810 (-0.5805) time: 0.4862 data: 0.0003
[11-24 14:55:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:06:55 tlr: 0.00013 tnm: 0.38 Lm: 6.619 (6.605) Lt: 5.905 (5.857) Accm: 3.04 (3.16) Acct: 4.68 (5.01) proj_loss: -0.5802 (-0.5816) time: 0.4862 data: 0.0002
[11-24 14:59:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:03:31 tlr: 0.00013 tnm: 0.36 Lm: 6.602 (6.600) Lt: 5.892 (5.863) Accm: 3.00 (3.11) Acct: 4.66 (4.92) proj_loss: -0.5809 (-0.5816) time: 0.4835 data: 0.0003
[11-24 14:59:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:03:31 tlr: 0.00013 tnm: 0.36 Lm: 6.688 (6.685) Lt: 5.967 (5.941) Accm: 2.75 (2.78) Acct: 4.37 (4.48) proj_loss: -0.5859 (-0.5823) time: 0.4835 data: 0.0003
[11-24 14:59:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:03:31 tlr: 0.00013 tnm: 0.36 Lm: 6.590 (6.583) Lt: 5.816 (5.826) Accm: 3.09 (3.15) Acct: 5.04 (4.96) proj_loss: -0.5898 (-0.5916) time: 0.4835 data: 0.0003
[11-24 14:59:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:03:31 tlr: 0.00013 tnm: 0.36 Lm: 6.649 (6.626) Lt: 5.894 (5.873) Accm: 3.11 (3.10) Acct: 4.84 (4.88) proj_loss: -0.5815 (-0.5817) time: 0.4835 data: 0.0003
[11-24 15:02:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.35 Lm: 6.622 (6.590) Lt: 5.827 (5.841) Accm: 3.12 (3.18) Acct: 4.99 (5.00) proj_loss: -0.5820 (-0.5878) time: 0.4913 data: 0.0016
[11-24 15:02:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:13:59 (0.503 s / it)
[11-24 15:02:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.35 Lm: 6.585 (6.664) Lt: 5.887 (5.924) Accm: 2.91 (2.88) Acct: 4.46 (4.60) proj_loss: -0.5873 (-0.5851) time: 0.4913 data: 0.0016
[11-24 15:02:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.35 Lm: 6.591 (6.586) Lt: 5.821 (5.829) Accm: 3.07 (3.11) Acct: 5.01 (4.87) proj_loss: -0.5852 (-0.5903) time: 0.4913 data: 0.0019
[11-24 15:02:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.35 Lm: 6.619 (6.610) Lt: 5.905 (5.877) Accm: 2.96 (3.08) Acct: 4.68 (4.87) proj_loss: -0.5817 (-0.5862) time: 0.4913 data: 0.0016
[11-24 15:02:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:13:59 (0.503 s / it)
[11-24 15:02:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:13:59 (0.503 s / it)
[11-24 15:02:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:13:59 (0.503 s / it)
[11-24 15:02:34] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.641 (6.655), Lt: 5.904 (5.922), Acc m&t: 3.01 4.76, Remain: 1 day, 17:08:15, Finish: 2024-11-25 16:10
[11-24 15:02:34] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.641 (6.655), Lt: 5.904 (5.922), Acc m&t: 3.01 4.76, Remain: 1 day, 17:08:25, Finish: 2024-11-25 16:10
[11-24 15:02:34] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.641 (6.655), Lt: 5.904 (5.922), Acc m&t: 3.01 4.76, Remain: 1 day, 17:07:48, Finish: 2024-11-25 16:10
[11-24 15:02:34] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.641 (6.655), Lt: 5.904 (5.922), Acc m&t: 3.01 4.76, Remain: 1 day, 17:08:34, Finish: 2024-11-25 16:11
[11-24 15:02:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:12:52 tlr: 0.00013 tnm: 0.35 Lm: 6.674 (6.674) Lt: 5.927 (5.927) Accm: 2.99 (2.99) Acct: 4.99 (4.99) proj_loss: -0.5647 (-0.5647) time: 0.4630 data: 0.0004
[11-24 15:02:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:13:20 tlr: 0.00013 tnm: 0.35 Lm: 6.635 (6.635) Lt: 5.894 (5.894) Accm: 2.99 (2.99) Acct: 4.36 (4.36) proj_loss: -0.5992 (-0.5992) time: 0.4798 data: 0.0004
[11-24 15:02:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:12:52 tlr: 0.00013 tnm: 0.35 Lm: 6.804 (6.804) Lt: 6.133 (6.133) Accm: 2.55 (2.55) Acct: 3.75 (3.75) proj_loss: -0.6010 (-0.6010) time: 0.4630 data: 0.0003
[11-24 15:02:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:12:53 tlr: 0.00013 tnm: 0.35 Lm: 6.636 (6.636) Lt: 5.920 (5.920) Accm: 3.09 (3.09) Acct: 4.99 (4.99) proj_loss: -0.6243 (-0.6243) time: 0.4633 data: 0.0004
[11-24 15:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:10:08 tlr: 0.00013 tnm: 0.36 Lm: 6.663 (6.663) Lt: 5.947 (5.947) Accm: 2.95 (2.95) Acct: 4.76 (4.76) proj_loss: -0.6045 (-0.6045) time: 0.4889 data: 0.0003
[11-24 15:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:10:08 tlr: 0.00013 tnm: 0.36 Lm: 6.624 (6.624) Lt: 5.889 (5.889) Accm: 3.28 (3.28) Acct: 5.25 (5.25) proj_loss: -0.5762 (-0.5762) time: 0.4890 data: 0.0003
[11-24 15:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:10:08 tlr: 0.00013 tnm: 0.36 Lm: 6.740 (6.740) Lt: 6.040 (6.040) Accm: 2.71 (2.71) Acct: 4.28 (4.28) proj_loss: -0.5807 (-0.5807) time: 0.4890 data: 0.0003
[11-24 15:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:10:08 tlr: 0.00013 tnm: 0.36 Lm: 6.710 (6.710) Lt: 5.979 (5.979) Accm: 2.77 (2.77) Acct: 4.29 (4.29) proj_loss: -0.5996 (-0.5996) time: 0.4889 data: 0.0003
[11-24 15:09:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:06:47 tlr: 0.00013 tnm: 0.36 Lm: 6.636 (6.641) Lt: 5.920 (5.924) Accm: 3.09 (3.03) Acct: 4.82 (4.78) proj_loss: -0.5858 (-0.5983) time: 0.4849 data: 0.0003
[11-24 15:09:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:06:47 tlr: 0.00013 tnm: 0.36 Lm: 6.677 (6.711) Lt: 5.946 (5.994) Accm: 2.88 (2.77) Acct: 4.34 (4.30) proj_loss: -0.5969 (-0.5861) time: 0.4849 data: 0.0003
[11-24 15:09:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:06:47 tlr: 0.00013 tnm: 0.36 Lm: 6.573 (6.591) Lt: 5.850 (5.850) Accm: 3.54 (3.37) Acct: 5.51 (5.36) proj_loss: -0.5877 (-0.5873) time: 0.4849 data: 0.0003
[11-24 15:09:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:06:47 tlr: 0.00013 tnm: 0.36 Lm: 6.635 (6.681) Lt: 5.898 (5.952) Accm: 2.99 (2.84) Acct: 4.36 (4.47) proj_loss: -0.6000 (-0.6056) time: 0.4850 data: 0.0003
[11-24 15:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 0.39 Lm: 6.685 (6.695) Lt: 5.958 (5.969) Accm: 2.82 (2.80) Acct: 4.29 (4.37) proj_loss: -0.6017 (-0.6051) time: 0.4883 data: 0.0003
[11-24 15:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 0.39 Lm: 6.665 (6.693) Lt: 5.924 (5.969) Accm: 2.88 (2.85) Acct: 4.57 (4.56) proj_loss: -0.5887 (-0.5847) time: 0.4883 data: 0.0002
[11-24 15:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 0.39 Lm: 6.597 (6.599) Lt: 5.882 (5.866) Accm: 3.34 (3.31) Acct: 5.25 (5.20) proj_loss: -0.5946 (-0.5908) time: 0.4883 data: 0.0002
[11-24 15:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:03:23 tlr: 0.00013 tnm: 0.39 Lm: 6.621 (6.632) Lt: 5.910 (5.918) Accm: 3.01 (3.00) Acct: 4.72 (4.74) proj_loss: -0.5889 (-0.5967) time: 0.4883 data: 0.0003
[11-24 15:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.38 Lm: 6.606 (6.626) Lt: 5.920 (5.922) Accm: 3.09 (3.03) Acct: 4.61 (4.71) proj_loss: -0.5921 (-0.5960) time: 0.5390 data: 0.0015
[11-24 15:23:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:20:28 (0.736 s / it)
[11-24 15:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.38 Lm: 6.656 (6.687) Lt: 5.898 (5.948) Accm: 2.94 (2.82) Acct: 4.36 (4.43) proj_loss: -0.6000 (-0.6005) time: 0.5390 data: 0.0016
[11-24 15:23:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:20:29 (0.737 s / it)
[11-24 15:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.38 Lm: 6.620 (6.626) Lt: 5.914 (5.887) Accm: 3.14 (3.17) Acct: 4.99 (5.01) proj_loss: -0.5877 (-0.5877) time: 0.5390 data: 0.0016
[11-24 15:23:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:20:29 (0.737 s / it)
[11-24 15:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.38 Lm: 6.654 (6.636) Lt: 5.902 (5.908) Accm: 2.88 (3.03) Acct: 4.80 (4.79) proj_loss: -0.5969 (-0.5874) time: 0.5390 data: 0.0017
[11-24 15:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:20:32 (0.739 s / it)
[11-24 15:23:07] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.641 (6.667), Lt: 5.904 (5.941), Acc m&t: 3.01 4.76, Remain: 1 day, 16:22:25, Finish: 2024-11-25 15:45
[11-24 15:23:07] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.641 (6.667), Lt: 5.904 (5.941), Acc m&t: 3.01 4.76, Remain: 1 day, 16:22:00, Finish: 2024-11-25 15:45
[11-24 15:23:07] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.641 (6.667), Lt: 5.904 (5.941), Acc m&t: 3.01 4.76, Remain: 1 day, 16:23:01, Finish: 2024-11-25 15:46
[11-24 15:23:07] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.641 (6.667), Lt: 5.904 (5.941), Acc m&t: 3.01 4.76, Remain: 1 day, 16:22:31, Finish: 2024-11-25 15:45
[11-24 15:23:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:17:40 tlr: 0.00013 tnm: 0.39 Lm: 6.557 (6.557) Lt: 5.791 (5.791) Accm: 3.19 (3.19) Acct: 4.99 (4.99) proj_loss: -0.5744 (-0.5744) time: 0.6356 data: 0.0004
[11-24 15:23:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:15:15 tlr: 0.00013 tnm: 0.39 Lm: 6.648 (6.648) Lt: 5.940 (5.940) Accm: 2.97 (2.97) Acct: 4.37 (4.37) proj_loss: -0.6143 (-0.6143) time: 0.5487 data: 0.0003
[11-24 15:23:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:12:58 tlr: 0.00013 tnm: 0.39 Lm: 6.652 (6.652) Lt: 5.911 (5.911) Accm: 3.07 (3.07) Acct: 4.86 (4.86) proj_loss: -0.5705 (-0.5705) time: 0.4663 data: 0.0004
[11-24 15:23:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 1:13:05 tlr: 0.00013 tnm: 0.39 Lm: 6.731 (6.731) Lt: 6.022 (6.022) Accm: 2.80 (2.80) Acct: 4.34 (4.34) proj_loss: -0.5972 (-0.5972) time: 2.6275 data: 0.0004
[11-24 15:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:10:52 tlr: 0.00013 tnm: 0.37 Lm: 6.680 (6.680) Lt: 5.954 (5.954) Accm: 2.87 (2.87) Acct: 4.38 (4.38) proj_loss: -0.5857 (-0.5857) time: 0.4865 data: 0.0003
[11-24 15:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:10:46 tlr: 0.00013 tnm: 0.37 Lm: 6.611 (6.611) Lt: 5.864 (5.864) Accm: 3.10 (3.10) Acct: 4.90 (4.90) proj_loss: -0.5898 (-0.5898) time: 0.4865 data: 0.0003
[11-24 15:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:10:46 tlr: 0.00013 tnm: 0.37 Lm: 6.654 (6.654) Lt: 5.917 (5.917) Accm: 3.04 (3.04) Acct: 4.79 (4.79) proj_loss: -0.5756 (-0.5756) time: 0.4865 data: 0.0003
[11-24 15:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:10:46 tlr: 0.00013 tnm: 0.37 Lm: 6.589 (6.589) Lt: 5.846 (5.846) Accm: 3.10 (3.10) Acct: 4.59 (4.59) proj_loss: -0.6050 (-0.6050) time: 0.4865 data: 0.0003
[11-24 15:30:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:07:01 tlr: 0.00013 tnm: 0.36 Lm: 6.559 (6.579) Lt: 5.768 (5.820) Accm: 3.22 (3.22) Acct: 4.80 (5.00) proj_loss: -0.5957 (-0.6012) time: 0.4862 data: 0.0003
[11-24 15:30:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:07:01 tlr: 0.00013 tnm: 0.36 Lm: 6.652 (6.608) Lt: 5.911 (5.873) Accm: 3.07 (3.13) Acct: 4.86 (4.90) proj_loss: -0.5807 (-0.5840) time: 0.4862 data: 0.0003
[11-24 15:30:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:07:02 tlr: 0.00013 tnm: 0.36 Lm: 6.664 (6.668) Lt: 5.936 (5.931) Accm: 3.00 (2.91) Acct: 4.80 (4.67) proj_loss: -0.5744 (-0.5846) time: 0.4862 data: 0.0003
[11-24 15:30:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:07:04 tlr: 0.00013 tnm: 0.36 Lm: 6.628 (6.643) Lt: 5.887 (5.924) Accm: 2.94 (3.06) Acct: 4.42 (4.69) proj_loss: -0.5851 (-0.5855) time: 0.4862 data: 0.0003
[11-24 15:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:03:29 tlr: 0.00013 tnm: 0.38 Lm: 6.680 (6.681) Lt: 5.954 (5.960) Accm: 2.87 (2.97) Acct: 4.38 (4.59) proj_loss: -0.5796 (-0.5785) time: 0.4904 data: 0.0003
[11-24 15:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:03:29 tlr: 0.00013 tnm: 0.38 Lm: 6.654 (6.652) Lt: 5.917 (5.942) Accm: 3.04 (2.99) Acct: 4.79 (4.72) proj_loss: -0.5908 (-0.5903) time: 0.4904 data: 0.0003
[11-24 15:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:03:29 tlr: 0.00013 tnm: 0.38 Lm: 6.592 (6.590) Lt: 5.836 (5.841) Accm: 3.26 (3.25) Acct: 4.90 (5.00) proj_loss: -0.5947 (-0.5983) time: 0.4904 data: 0.0003
[11-24 15:34:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:03:29 tlr: 0.00013 tnm: 0.38 Lm: 6.611 (6.614) Lt: 5.864 (5.882) Accm: 3.10 (3.07) Acct: 4.90 (4.92) proj_loss: -0.5879 (-0.5888) time: 0.4904 data: 0.0002
[11-24 15:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.38 Lm: 6.557 (6.586) Lt: 5.791 (5.841) Accm: 3.19 (3.18) Acct: 4.99 (5.09) proj_loss: -0.6015 (-0.5942) time: 0.4864 data: 0.0019
[11-24 15:37:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:13:50 (0.497 s / it)
[11-24 15:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.38 Lm: 6.652 (6.635) Lt: 5.911 (5.908) Accm: 3.07 (3.04) Acct: 4.86 (4.82) proj_loss: -0.5807 (-0.5881) time: 0.4864 data: 0.0016
[11-24 15:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.38 Lm: 6.624 (6.605) Lt: 5.904 (5.858) Accm: 3.22 (3.14) Acct: 4.80 (4.87) proj_loss: -0.5936 (-0.5961) time: 0.4864 data: 0.0017
[11-24 15:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.38 Lm: 6.720 (6.689) Lt: 5.993 (5.967) Accm: 2.80 (2.92) Acct: 4.37 (4.55) proj_loss: -0.5851 (-0.5809) time: 0.4864 data: 0.0015
[11-24 15:37:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:13:50 (0.497 s / it)
[11-24 15:37:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:13:50 (0.497 s / it)
[11-24 15:37:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:13:52 (0.499 s / it)
[11-24 15:37:35] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.638 (6.638), Lt: 5.898 (5.898), Acc m&t: 3.02 4.79, Remain: 1 day, 16:30:48, Finish: 2024-11-25 16:08
[11-24 15:37:35] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.638 (6.638), Lt: 5.898 (5.898), Acc m&t: 3.02 4.79, Remain: 1 day, 16:30:57, Finish: 2024-11-25 16:08
[11-24 15:37:35] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.638 (6.638), Lt: 5.898 (5.898), Acc m&t: 3.02 4.79, Remain: 1 day, 16:31:48, Finish: 2024-11-25 16:09
[11-24 15:37:35] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.638 (6.638), Lt: 5.898 (5.898), Acc m&t: 3.02 4.79, Remain: 1 day, 16:31:22, Finish: 2024-11-25 16:08
[11-24 15:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:12:46 tlr: 0.00013 tnm: 0.35 Lm: 6.630 (6.630) Lt: 5.888 (5.888) Accm: 2.96 (2.96) Acct: 4.49 (4.49) proj_loss: -0.5690 (-0.5690) time: 0.4591 data: 0.0003
[11-24 15:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:12:44 tlr: 0.00013 tnm: 0.35 Lm: 6.656 (6.656) Lt: 5.886 (5.886) Accm: 3.34 (3.34) Acct: 5.22 (5.22) proj_loss: -0.5786 (-0.5786) time: 0.4579 data: 0.0003
[11-24 15:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:12:47 tlr: 0.00013 tnm: 0.35 Lm: 6.537 (6.537) Lt: 5.773 (5.773) Accm: 3.61 (3.61) Acct: 5.51 (5.51) proj_loss: -0.5880 (-0.5880) time: 0.4596 data: 0.0004
[11-24 15:37:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:12:48 tlr: 0.00013 tnm: 0.35 Lm: 6.527 (6.527) Lt: 5.759 (5.759) Accm: 3.10 (3.10) Acct: 5.08 (5.08) proj_loss: -0.5765 (-0.5765) time: 0.4607 data: 0.0004
[11-24 15:41:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:10:18 tlr: 0.00013 tnm: 0.38 Lm: 6.477 (6.477) Lt: 5.700 (5.700) Accm: 3.57 (3.57) Acct: 5.59 (5.59) proj_loss: -0.5842 (-0.5842) time: 0.5382 data: 0.0003
[11-24 15:41:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:10:18 tlr: 0.00013 tnm: 0.38 Lm: 6.661 (6.661) Lt: 5.876 (5.876) Accm: 3.09 (3.09) Acct: 4.99 (4.99) proj_loss: -0.5847 (-0.5847) time: 0.5382 data: 0.0003
[11-24 15:41:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:10:18 tlr: 0.00013 tnm: 0.38 Lm: 6.654 (6.654) Lt: 5.948 (5.948) Accm: 2.90 (2.90) Acct: 4.39 (4.39) proj_loss: -0.5917 (-0.5917) time: 0.5382 data: 0.0003
[11-24 15:41:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:10:18 tlr: 0.00013 tnm: 0.38 Lm: 6.624 (6.624) Lt: 5.891 (5.891) Accm: 3.06 (3.06) Acct: 4.67 (4.67) proj_loss: -0.5940 (-0.5940) time: 0.5382 data: 0.0003
[11-24 15:44:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:07:00 tlr: 0.00013 tnm: 0.39 Lm: 6.651 (6.633) Lt: 5.975 (5.919) Accm: 3.06 (3.06) Acct: 4.61 (4.65) proj_loss: -0.6000 (-0.5981) time: 0.4895 data: 0.0003
[11-24 15:44:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:07:00 tlr: 0.00013 tnm: 0.39 Lm: 6.527 (6.551) Lt: 5.759 (5.797) Accm: 3.10 (3.37) Acct: 5.08 (5.23) proj_loss: -0.5765 (-0.5813) time: 0.4895 data: 0.0003
[11-24 15:44:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:07:00 tlr: 0.00013 tnm: 0.39 Lm: 6.677 (6.670) Lt: 5.969 (5.955) Accm: 2.83 (2.85) Acct: 4.49 (4.43) proj_loss: -0.5864 (-0.5899) time: 0.4895 data: 0.0003
[11-24 15:44:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:07:00 tlr: 0.00013 tnm: 0.39 Lm: 6.656 (6.654) Lt: 5.886 (5.883) Accm: 2.89 (3.02) Acct: 4.77 (4.83) proj_loss: -0.5786 (-0.5786) time: 0.4895 data: 0.0003
[11-24 15:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:03:34 tlr: 0.00013 tnm: 0.38 Lm: 6.661 (6.673) Lt: 5.891 (5.912) Accm: 2.87 (2.94) Acct: 4.64 (4.71) proj_loss: -0.5847 (-0.5857) time: 0.4908 data: 0.0003
[11-24 15:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:03:34 tlr: 0.00013 tnm: 0.38 Lm: 6.659 (6.642) Lt: 5.969 (5.930) Accm: 2.93 (2.99) Acct: 4.41 (4.54) proj_loss: -0.5940 (-0.5950) time: 0.4908 data: 0.0003
[11-24 15:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:03:34 tlr: 0.00013 tnm: 0.38 Lm: 6.511 (6.536) Lt: 5.764 (5.790) Accm: 3.26 (3.39) Acct: 5.37 (5.34) proj_loss: -0.5842 (-0.5862) time: 0.4908 data: 0.0003
[11-24 15:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:03:34 tlr: 0.00013 tnm: 0.38 Lm: 6.654 (6.649) Lt: 5.928 (5.937) Accm: 2.90 (2.89) Acct: 4.46 (4.43) proj_loss: -0.5911 (-0.5914) time: 0.4908 data: 0.0002
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.630 (6.636) Lt: 5.888 (5.917) Accm: 2.96 (2.93) Acct: 4.49 (4.51) proj_loss: -0.5938 (-0.5919) time: 0.4896 data: 0.0019
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:14:05 (0.507 s / it)
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.651 (6.622) Lt: 5.963 (5.898) Accm: 3.06 (3.01) Acct: 4.61 (4.57) proj_loss: -0.6000 (-0.5972) time: 0.4896 data: 0.0016
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.666 (6.674) Lt: 5.886 (5.905) Accm: 2.89 (2.95) Acct: 4.77 (4.78) proj_loss: -0.5786 (-0.5804) time: 0.4896 data: 0.0016
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.527 (6.577) Lt: 5.770 (5.837) Accm: 3.10 (3.29) Acct: 5.08 (5.20) proj_loss: -0.5829 (-0.5856) time: 0.4896 data: 0.0016
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:14:05 (0.507 s / it)
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:14:05 (0.507 s / it)
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:14:05 (0.507 s / it)
[11-24 15:51:41] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.638 (6.657), Lt: 5.898 (5.925), Acc m&t: 3.02 4.79, Remain: 1 day, 16:18:09, Finish: 2024-11-25 16:09
[11-24 15:51:41] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.638 (6.657), Lt: 5.898 (5.925), Acc m&t: 3.02 4.79, Remain: 1 day, 16:16:46, Finish: 2024-11-25 16:08
[11-24 15:51:41] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.638 (6.657), Lt: 5.898 (5.925), Acc m&t: 3.02 4.79, Remain: 1 day, 16:17:11, Finish: 2024-11-25 16:08
[11-24 15:51:41] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.638 (6.657), Lt: 5.898 (5.925), Acc m&t: 3.02 4.79, Remain: 1 day, 16:16:53, Finish: 2024-11-25 16:08
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:12:52 tlr: 0.00013 tnm: 0.36 Lm: 6.764 (6.764) Lt: 6.097 (6.097) Accm: 2.65 (2.65) Acct: 3.74 (3.74) proj_loss: -0.5797 (-0.5797) time: 0.4628 data: 0.0003
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:12:54 tlr: 0.00013 tnm: 0.36 Lm: 6.815 (6.815) Lt: 6.183 (6.183) Accm: 2.62 (2.62) Acct: 4.10 (4.10) proj_loss: -0.6211 (-0.6211) time: 0.4639 data: 0.0004
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:12:45 tlr: 0.00013 tnm: 0.36 Lm: 6.613 (6.613) Lt: 5.875 (5.875) Accm: 3.21 (3.21) Acct: 4.89 (4.89) proj_loss: -0.5957 (-0.5957) time: 0.4587 data: 0.0003
[11-24 15:51:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:12:54 tlr: 0.00013 tnm: 0.36 Lm: 6.669 (6.669) Lt: 5.903 (5.903) Accm: 2.99 (2.99) Acct: 4.80 (4.80) proj_loss: -0.5958 (-0.5958) time: 0.4643 data: 0.0003
[11-24 15:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.36 Lm: 6.633 (6.633) Lt: 5.864 (5.864) Accm: 3.03 (3.03) Acct: 4.84 (4.84) proj_loss: -0.6038 (-0.6038) time: 0.4893 data: 0.0003
[11-24 15:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.36 Lm: 6.792 (6.792) Lt: 6.126 (6.126) Accm: 2.68 (2.68) Acct: 4.27 (4.27) proj_loss: -0.6082 (-0.6082) time: 0.4893 data: 0.0003
[11-24 15:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.36 Lm: 6.648 (6.648) Lt: 5.907 (5.907) Accm: 2.96 (2.96) Acct: 4.52 (4.52) proj_loss: -0.5935 (-0.5935) time: 0.4893 data: 0.0003
[11-24 15:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.36 Lm: 6.670 (6.670) Lt: 5.938 (5.938) Accm: 3.02 (3.02) Acct: 4.60 (4.60) proj_loss: -0.5874 (-0.5874) time: 0.4892 data: 0.0003
[11-24 15:58:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:06:48 tlr: 0.00013 tnm: 0.39 Lm: 6.749 (6.696) Lt: 6.050 (5.975) Accm: 2.65 (2.87) Acct: 4.08 (4.42) proj_loss: -0.5897 (-0.5882) time: 0.4919 data: 0.0003
[11-24 15:58:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:06:48 tlr: 0.00013 tnm: 0.39 Lm: 6.669 (6.647) Lt: 5.903 (5.883) Accm: 2.99 (2.91) Acct: 4.80 (4.68) proj_loss: -0.5958 (-0.5947) time: 0.4919 data: 0.0003
[11-24 15:58:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:06:48 tlr: 0.00013 tnm: 0.39 Lm: 6.769 (6.778) Lt: 6.071 (6.108) Accm: 2.73 (2.70) Acct: 4.10 (4.20) proj_loss: -0.5953 (-0.6020) time: 0.4919 data: 0.0003
[11-24 15:58:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:06:48 tlr: 0.00013 tnm: 0.39 Lm: 6.682 (6.692) Lt: 5.940 (5.967) Accm: 2.72 (2.82) Acct: 4.15 (4.32) proj_loss: -0.5914 (-0.5914) time: 0.4919 data: 0.0003
[11-24 16:01:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:03:24 tlr: 0.00013 tnm: 0.38 Lm: 6.731 (6.717) Lt: 6.012 (5.998) Accm: 2.64 (2.75) Acct: 4.12 (4.26) proj_loss: -0.5935 (-0.5930) time: 0.4883 data: 0.0003
[11-24 16:01:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:03:24 tlr: 0.00013 tnm: 0.38 Lm: 6.672 (6.669) Lt: 5.912 (5.919) Accm: 2.86 (2.86) Acct: 4.58 (4.54) proj_loss: -0.5895 (-0.5918) time: 0.4883 data: 0.0003
[11-24 16:01:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:03:24 tlr: 0.00013 tnm: 0.38 Lm: 6.704 (6.687) Lt: 5.973 (5.955) Accm: 2.87 (2.93) Acct: 4.36 (4.48) proj_loss: -0.5847 (-0.5856) time: 0.4883 data: 0.0003
[11-24 16:01:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:03:24 tlr: 0.00013 tnm: 0.38 Lm: 6.759 (6.762) Lt: 6.070 (6.069) Accm: 2.74 (2.72) Acct: 4.27 (4.27) proj_loss: -0.5925 (-0.5962) time: 0.4883 data: 0.0002
[11-24 16:05:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.750 (6.723) Lt: 6.070 (6.010) Accm: 2.75 (2.82) Acct: 4.44 (4.46) proj_loss: -0.5897 (-0.5946) time: 0.5915 data: 0.0015
[11-24 16:05:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:13:59 (0.503 s / it)
[11-24 16:05:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.682 (6.693) Lt: 5.940 (5.976) Accm: 2.72 (2.88) Acct: 4.15 (4.49) proj_loss: -0.5957 (-0.5952) time: 0.5915 data: 0.0017
[11-24 16:05:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:13:59 (0.503 s / it)
[11-24 16:05:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.714 (6.692) Lt: 6.048 (5.974) Accm: 2.71 (2.88) Acct: 4.20 (4.42) proj_loss: -0.5897 (-0.5865) time: 0.5915 data: 0.0015
[11-24 16:05:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.675 (6.684) Lt: 5.920 (5.932) Accm: 2.86 (2.86) Acct: 4.79 (4.59) proj_loss: -0.5958 (-0.5944) time: 0.5915 data: 0.0018
[11-24 16:05:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:13:59 (0.503 s / it)
[11-24 16:05:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:13:59 (0.503 s / it)
[11-24 16:05:40] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.638 (6.659), Lt: 5.898 (5.927), Acc m&t: 3.02 4.79, Remain: 1 day, 16:13:20, Finish: 2024-11-25 16:19
[11-24 16:05:40] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.638 (6.659), Lt: 5.898 (5.927), Acc m&t: 3.02 4.79, Remain: 1 day, 16:15:57, Finish: 2024-11-25 16:21
[11-24 16:05:40] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.638 (6.659), Lt: 5.898 (5.927), Acc m&t: 3.02 4.79, Remain: 1 day, 16:15:36, Finish: 2024-11-25 16:21
[11-24 16:05:40] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.638 (6.659), Lt: 5.898 (5.927), Acc m&t: 3.02 4.79, Remain: 1 day, 16:13:34, Finish: 2024-11-25 16:19
[11-24 16:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:12:46 tlr: 0.00013 tnm: 0.37 Lm: 6.773 (6.773) Lt: 6.078 (6.078) Accm: 2.70 (2.70) Acct: 4.30 (4.30) proj_loss: -0.5887 (-0.5887) time: 0.4593 data: 0.0003
[11-24 16:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:12:46 tlr: 0.00013 tnm: 0.37 Lm: 6.759 (6.759) Lt: 6.007 (6.007) Accm: 2.70 (2.70) Acct: 4.36 (4.36) proj_loss: -0.5742 (-0.5742) time: 0.4594 data: 0.0003
[11-24 16:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:12:47 tlr: 0.00013 tnm: 0.37 Lm: 6.701 (6.701) Lt: 6.012 (6.012) Accm: 2.83 (2.83) Acct: 4.51 (4.51) proj_loss: -0.5766 (-0.5766) time: 0.4597 data: 0.0004
[11-24 16:05:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:12:46 tlr: 0.00013 tnm: 0.37 Lm: 6.648 (6.648) Lt: 5.921 (5.921) Accm: 3.09 (3.09) Acct: 5.10 (5.10) proj_loss: -0.6040 (-0.6040) time: 0.4595 data: 0.0003
[11-24 16:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:10:40 tlr: 0.00013 tnm: 0.37 Lm: 6.729 (6.729) Lt: 6.030 (6.030) Accm: 2.88 (2.88) Acct: 4.58 (4.58) proj_loss: -0.5915 (-0.5915) time: 0.5409 data: 0.0003
[11-24 16:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:10:40 tlr: 0.00013 tnm: 0.37 Lm: 6.772 (6.772) Lt: 6.073 (6.073) Accm: 2.63 (2.63) Acct: 4.14 (4.14) proj_loss: -0.5834 (-0.5834) time: 0.5409 data: 0.0003
[11-24 16:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:10:40 tlr: 0.00013 tnm: 0.37 Lm: 6.661 (6.661) Lt: 5.951 (5.951) Accm: 2.97 (2.97) Acct: 4.64 (4.64) proj_loss: -0.5759 (-0.5759) time: 0.5409 data: 0.0003
[11-24 16:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:10:40 tlr: 0.00013 tnm: 0.37 Lm: 6.762 (6.762) Lt: 6.041 (6.041) Accm: 2.77 (2.77) Acct: 4.47 (4.47) proj_loss: -0.5823 (-0.5823) time: 0.5409 data: 0.0003
[11-24 16:12:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:06:57 tlr: 0.00013 tnm: 0.38 Lm: 6.759 (6.730) Lt: 6.014 (6.032) Accm: 2.70 (2.74) Acct: 4.36 (4.32) proj_loss: -0.5876 (-0.5841) time: 0.4901 data: 0.0003
[11-24 16:12:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:06:57 tlr: 0.00013 tnm: 0.38 Lm: 6.772 (6.711) Lt: 6.068 (6.004) Accm: 2.70 (2.80) Acct: 4.30 (4.29) proj_loss: -0.5820 (-0.5829) time: 0.4901 data: 0.0002
[11-24 16:12:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:06:57 tlr: 0.00013 tnm: 0.38 Lm: 6.706 (6.721) Lt: 5.978 (6.013) Accm: 3.07 (2.95) Acct: 4.92 (4.69) proj_loss: -0.5835 (-0.5888) time: 0.4901 data: 0.0003
[11-24 16:12:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:06:57 tlr: 0.00013 tnm: 0.38 Lm: 6.665 (6.663) Lt: 5.981 (5.961) Accm: 3.02 (2.99) Acct: 4.65 (4.64) proj_loss: -0.5766 (-0.5837) time: 0.4901 data: 0.0003
[11-24 16:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:03:27 tlr: 0.00013 tnm: 0.38 Lm: 6.654 (6.658) Lt: 5.953 (5.952) Accm: 2.98 (2.97) Acct: 4.58 (4.61) proj_loss: -0.5827 (-0.5850) time: 0.5437 data: 0.0003
[11-24 16:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:03:27 tlr: 0.00013 tnm: 0.38 Lm: 6.677 (6.681) Lt: 5.950 (5.954) Accm: 3.08 (3.03) Acct: 5.01 (4.84) proj_loss: -0.5825 (-0.5870) time: 0.5437 data: 0.0003
[11-24 16:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:03:27 tlr: 0.00013 tnm: 0.38 Lm: 6.682 (6.682) Lt: 5.967 (5.969) Accm: 2.92 (2.94) Acct: 4.45 (4.57) proj_loss: -0.5853 (-0.5847) time: 0.5437 data: 0.0003
[11-24 16:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:03:27 tlr: 0.00013 tnm: 0.38 Lm: 6.736 (6.726) Lt: 6.010 (6.021) Accm: 2.77 (2.79) Acct: 4.47 (4.50) proj_loss: -0.5809 (-0.5815) time: 0.5437 data: 0.0002
[11-24 16:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.714 (6.721) Lt: 6.007 (6.013) Accm: 2.84 (2.82) Acct: 4.58 (4.55) proj_loss: -0.5872 (-0.5826) time: 0.4862 data: 0.0019
[11-24 16:19:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:13:45 (0.495 s / it)
[11-24 16:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.648 (6.634) Lt: 5.921 (5.894) Accm: 3.09 (3.19) Acct: 5.10 (5.10) proj_loss: -0.5835 (-0.5863) time: 0.4862 data: 0.0015
[11-24 16:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.643 (6.632) Lt: 5.926 (5.907) Accm: 3.02 (3.06) Acct: 4.65 (4.75) proj_loss: -0.5887 (-0.5878) time: 0.4862 data: 0.0016
[11-24 16:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.676 (6.680) Lt: 5.927 (5.961) Accm: 2.96 (2.95) Acct: 4.30 (4.51) proj_loss: -0.5887 (-0.5878) time: 0.4862 data: 0.0021
[11-24 16:19:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:13:45 (0.495 s / it)
[11-24 16:19:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:13:45 (0.495 s / it)
[11-24 16:19:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:13:45 (0.495 s / it)
[11-24 16:19:26] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.637 (6.637), Lt: 5.898 (5.901), Acc m&t: 3.04 4.79, Remain: 1 day, 15:48:35, Finish: 2024-11-25 16:08
[11-24 16:19:26] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.637 (6.637), Lt: 5.898 (5.901), Acc m&t: 3.04 4.79, Remain: 1 day, 15:48:45, Finish: 2024-11-25 16:08
[11-24 16:19:26] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.637 (6.637), Lt: 5.898 (5.901), Acc m&t: 3.04 4.79, Remain: 1 day, 15:47:29, Finish: 2024-11-25 16:06
[11-24 16:19:26] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.637 (6.637), Lt: 5.898 (5.901), Acc m&t: 3.04 4.79, Remain: 1 day, 15:47:12, Finish: 2024-11-25 16:06
[11-24 16:19:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:13:15 tlr: 0.00013 tnm: 0.40 Lm: 6.590 (6.590) Lt: 5.842 (5.842) Accm: 3.06 (3.06) Acct: 4.73 (4.73) proj_loss: -0.5762 (-0.5762) time: 0.4767 data: 0.0003
[11-24 16:19:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:12:52 tlr: 0.00013 tnm: 0.40 Lm: 6.510 (6.510) Lt: 5.771 (5.771) Accm: 3.41 (3.41) Acct: 5.42 (5.42) proj_loss: -0.6125 (-0.6125) time: 0.4626 data: 0.0004
[11-24 16:19:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:13:15 tlr: 0.00013 tnm: 0.40 Lm: 6.794 (6.794) Lt: 6.104 (6.104) Accm: 2.63 (2.63) Acct: 3.89 (3.89) proj_loss: -0.5954 (-0.5954) time: 0.4767 data: 0.0004
[11-24 16:19:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:13:16 tlr: 0.00013 tnm: 0.40 Lm: 6.513 (6.513) Lt: 5.687 (5.687) Accm: 3.37 (3.37) Acct: 5.53 (5.53) proj_loss: -0.5696 (-0.5696) time: 0.4770 data: 0.0004
[11-24 16:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:10:38 tlr: 0.00013 tnm: 0.39 Lm: 6.512 (6.512) Lt: 5.722 (5.722) Accm: 3.33 (3.33) Acct: 5.43 (5.43) proj_loss: -0.5784 (-0.5784) time: 0.5894 data: 0.0003
[11-24 16:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:10:38 tlr: 0.00013 tnm: 0.39 Lm: 6.732 (6.732) Lt: 6.007 (6.007) Accm: 2.90 (2.90) Acct: 4.41 (4.41) proj_loss: -0.5878 (-0.5878) time: 0.5894 data: 0.0003
[11-24 16:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:10:38 tlr: 0.00013 tnm: 0.39 Lm: 6.652 (6.652) Lt: 5.916 (5.916) Accm: 2.97 (2.97) Acct: 4.73 (4.73) proj_loss: -0.5758 (-0.5758) time: 0.5894 data: 0.0003
[11-24 16:22:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:10:38 tlr: 0.00013 tnm: 0.39 Lm: 6.526 (6.526) Lt: 5.767 (5.767) Accm: 3.28 (3.28) Acct: 5.29 (5.29) proj_loss: -0.5995 (-0.5995) time: 0.5894 data: 0.0003
[11-24 16:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:07:11 tlr: 0.00013 tnm: 0.37 Lm: 6.542 (6.572) Lt: 5.771 (5.824) Accm: 3.15 (3.18) Acct: 5.17 (5.03) proj_loss: -0.5864 (-0.5889) time: 0.5410 data: 0.0003
[11-24 16:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:07:11 tlr: 0.00013 tnm: 0.37 Lm: 6.590 (6.623) Lt: 5.842 (5.876) Accm: 3.06 (3.05) Acct: 4.73 (4.82) proj_loss: -0.5762 (-0.5780) time: 0.5410 data: 0.0003
[11-24 16:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:07:11 tlr: 0.00013 tnm: 0.37 Lm: 6.513 (6.556) Lt: 5.758 (5.803) Accm: 3.29 (3.11) Acct: 5.34 (5.04) proj_loss: -0.5871 (-0.5859) time: 0.5410 data: 0.0003
[11-24 16:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:07:11 tlr: 0.00013 tnm: 0.37 Lm: 6.757 (6.740) Lt: 6.064 (6.026) Accm: 2.64 (2.81) Acct: 4.25 (4.36) proj_loss: -0.5954 (-0.5925) time: 0.5411 data: 0.0003
[11-24 16:30:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:03:35 tlr: 0.00013 tnm: 0.38 Lm: 6.727 (6.730) Lt: 6.019 (6.013) Accm: 2.66 (2.78) Acct: 4.28 (4.34) proj_loss: -0.5956 (-0.5933) time: 0.4880 data: 0.0002
[11-24 16:30:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:03:35 tlr: 0.00013 tnm: 0.38 Lm: 6.600 (6.594) Lt: 5.817 (5.834) Accm: 3.13 (3.16) Acct: 5.04 (5.00) proj_loss: -0.5804 (-0.5853) time: 0.4880 data: 0.0003
[11-24 16:30:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:03:35 tlr: 0.00013 tnm: 0.38 Lm: 6.577 (6.607) Lt: 5.837 (5.865) Accm: 3.12 (3.09) Acct: 4.76 (4.81) proj_loss: -0.5793 (-0.5801) time: 0.4880 data: 0.0003
[11-24 16:30:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:03:35 tlr: 0.00013 tnm: 0.38 Lm: 6.516 (6.547) Lt: 5.752 (5.789) Accm: 3.30 (3.16) Acct: 5.26 (5.08) proj_loss: -0.5909 (-0.5881) time: 0.4880 data: 0.0003
[11-24 16:33:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.35 Lm: 6.520 (6.572) Lt: 5.758 (5.822) Accm: 3.29 (3.10) Acct: 5.18 (4.92) proj_loss: -0.5929 (-0.5890) time: 0.4893 data: 0.0017
[11-24 16:33:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:14:08 (0.508 s / it)
[11-24 16:33:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.35 Lm: 6.620 (6.599) Lt: 5.818 (5.831) Accm: 3.10 (3.14) Acct: 4.92 (4.96) proj_loss: -0.5768 (-0.5836) time: 0.4893 data: 0.0016
[11-24 16:33:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.35 Lm: 6.590 (6.644) Lt: 5.842 (5.911) Accm: 3.06 (2.95) Acct: 4.73 (4.59) proj_loss: -0.5825 (-0.5861) time: 0.4893 data: 0.0016
[11-24 16:33:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:14:08 (0.508 s / it)
[11-24 16:33:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:14:08 (0.508 s / it)
[11-24 16:33:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.35 Lm: 6.698 (6.699) Lt: 5.974 (5.979) Accm: 2.69 (2.87) Acct: 4.30 (4.43) proj_loss: -0.5959 (-0.5960) time: 0.4893 data: 0.0016
[11-24 16:33:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:14:08 (0.508 s / it)
[11-24 16:33:34] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.630 (6.630), Lt: 5.889 (5.889), Acc m&t: 3.05 4.81, Remain: 1 day, 15:40:28, Finish: 2024-11-25 16:14
[11-24 16:33:34] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.630 (6.630), Lt: 5.889 (5.889), Acc m&t: 3.05 4.81, Remain: 1 day, 15:39:59, Finish: 2024-11-25 16:13
[11-24 16:33:34] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.630 (6.630), Lt: 5.889 (5.889), Acc m&t: 3.05 4.81, Remain: 1 day, 15:39:08, Finish: 2024-11-25 16:12
[11-24 16:33:34] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.630 (6.630), Lt: 5.889 (5.889), Acc m&t: 3.05 4.81, Remain: 1 day, 15:38:18, Finish: 2024-11-25 16:11
[11-24 16:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:13:32 tlr: 0.00013 tnm: 0.37 Lm: 6.681 (6.681) Lt: 5.984 (5.984) Accm: 2.80 (2.80) Acct: 4.36 (4.36) proj_loss: -0.5780 (-0.5780) time: 0.4869 data: 0.0003
[11-24 16:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:13:32 tlr: 0.00013 tnm: 0.37 Lm: 6.745 (6.745) Lt: 6.032 (6.032) Accm: 2.91 (2.91) Acct: 4.73 (4.73) proj_loss: -0.5920 (-0.5920) time: 0.4868 data: 0.0004
[11-24 16:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:13:33 tlr: 0.00013 tnm: 0.37 Lm: 6.652 (6.652) Lt: 5.909 (5.909) Accm: 3.12 (3.12) Acct: 5.10 (5.10) proj_loss: -0.6024 (-0.6024) time: 0.4874 data: 0.0004
[11-24 16:33:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:13:33 tlr: 0.00013 tnm: 0.37 Lm: 6.676 (6.676) Lt: 5.920 (5.920) Accm: 3.13 (3.13) Acct: 4.70 (4.70) proj_loss: -0.5741 (-0.5741) time: 0.4872 data: 0.0004
[11-24 16:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.37 Lm: 6.650 (6.650) Lt: 5.904 (5.904) Accm: 3.16 (3.16) Acct: 4.87 (4.87) proj_loss: -0.5927 (-0.5927) time: 0.4892 data: 0.0003
[11-24 16:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.37 Lm: 6.719 (6.719) Lt: 6.002 (6.002) Accm: 2.99 (2.99) Acct: 4.73 (4.73) proj_loss: -0.5954 (-0.5954) time: 0.4892 data: 0.0003
[11-24 16:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.37 Lm: 6.651 (6.651) Lt: 5.918 (5.918) Accm: 3.08 (3.08) Acct: 4.86 (4.86) proj_loss: -0.5923 (-0.5923) time: 0.4892 data: 0.0003
[11-24 16:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.37 Lm: 6.688 (6.688) Lt: 5.961 (5.961) Accm: 2.78 (2.78) Acct: 4.37 (4.37) proj_loss: -0.5784 (-0.5784) time: 0.4892 data: 0.0003
[11-24 16:40:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:06:47 tlr: 0.00013 tnm: 0.38 Lm: 6.695 (6.710) Lt: 5.984 (5.997) Accm: 2.75 (2.75) Acct: 4.36 (4.25) proj_loss: -0.5788 (-0.5812) time: 0.4838 data: 0.0003
[11-24 16:40:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:06:47 tlr: 0.00013 tnm: 0.38 Lm: 6.624 (6.637) Lt: 5.908 (5.906) Accm: 3.13 (3.13) Acct: 4.82 (4.86) proj_loss: -0.6057 (-0.5970) time: 0.4837 data: 0.0003
[11-24 16:40:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:06:47 tlr: 0.00013 tnm: 0.38 Lm: 6.694 (6.678) Lt: 5.972 (5.956) Accm: 3.07 (3.02) Acct: 4.73 (4.80) proj_loss: -0.5920 (-0.5932) time: 0.4838 data: 0.0002
[11-24 16:40:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:06:47 tlr: 0.00013 tnm: 0.38 Lm: 6.652 (6.717) Lt: 5.926 (5.992) Accm: 3.04 (2.93) Acct: 4.63 (4.61) proj_loss: -0.5935 (-0.5927) time: 0.4838 data: 0.0003
[11-24 16:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:03:25 tlr: 0.00013 tnm: 0.37 Lm: 6.651 (6.687) Lt: 5.918 (5.968) Accm: 3.08 (3.00) Acct: 4.68 (4.64) proj_loss: -0.5878 (-0.5859) time: 0.4899 data: 0.0003
[11-24 16:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:03:25 tlr: 0.00013 tnm: 0.37 Lm: 6.647 (6.659) Lt: 5.918 (5.929) Accm: 3.08 (3.04) Acct: 4.80 (4.82) proj_loss: -0.5954 (-0.5949) time: 0.4899 data: 0.0003
[11-24 16:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:03:25 tlr: 0.00013 tnm: 0.37 Lm: 6.618 (6.627) Lt: 5.912 (5.908) Accm: 3.10 (3.12) Acct: 4.86 (4.87) proj_loss: -0.6051 (-0.5989) time: 0.4900 data: 0.0002
[11-24 16:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:03:25 tlr: 0.00013 tnm: 0.37 Lm: 6.688 (6.672) Lt: 5.961 (5.965) Accm: 2.78 (2.83) Acct: 4.37 (4.37) proj_loss: -0.5829 (-0.5865) time: 0.4899 data: 0.0003
[11-24 16:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.36 Lm: 6.681 (6.640) Lt: 5.938 (5.922) Accm: 2.80 (2.95) Acct: 4.39 (4.57) proj_loss: -0.5869 (-0.5911) time: 0.4917 data: 0.0019
[11-24 16:47:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:14:00 (0.504 s / it)
[11-24 16:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.36 Lm: 6.694 (6.681) Lt: 5.972 (5.941) Accm: 3.07 (2.97) Acct: 4.73 (4.71) proj_loss: -0.5920 (-0.5905) time: 0.4917 data: 0.0015
[11-24 16:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.36 Lm: 6.624 (6.652) Lt: 5.915 (5.927) Accm: 3.08 (3.04) Acct: 4.82 (4.81) proj_loss: -0.6045 (-0.5963) time: 0.4917 data: 0.0015
[11-24 16:47:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.36 Lm: 6.651 (6.677) Lt: 5.926 (5.971) Accm: 3.12 (3.05) Acct: 4.73 (4.67) proj_loss: -0.5822 (-0.5851) time: 0.4917 data: 0.0020
[11-24 16:47:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:14:00 (0.504 s / it)
[11-24 16:47:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:14:00 (0.504 s / it)
[11-24 16:47:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:14:00 (0.504 s / it)
[11-24 16:47:35] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.630 (6.658), Lt: 5.889 (5.925), Acc m&t: 3.05 4.81, Remain: 1 day, 15:28:30, Finish: 2024-11-25 16:16
[11-24 16:47:35] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.630 (6.658), Lt: 5.889 (5.925), Acc m&t: 3.05 4.81, Remain: 1 day, 15:28:17, Finish: 2024-11-25 16:15
[11-24 16:47:35] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.630 (6.658), Lt: 5.889 (5.925), Acc m&t: 3.05 4.81, Remain: 1 day, 15:27:29, Finish: 2024-11-25 16:15
[11-24 16:47:35] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.630 (6.658), Lt: 5.889 (5.925), Acc m&t: 3.05 4.81, Remain: 1 day, 15:27:53, Finish: 2024-11-25 16:15
[11-24 16:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:12:42 tlr: 0.00013 tnm: 0.36 Lm: 6.596 (6.596) Lt: 5.841 (5.841) Accm: 3.34 (3.34) Acct: 5.11 (5.11) proj_loss: -0.6040 (-0.6040) time: 0.4568 data: 0.0003
[11-24 16:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:12:42 tlr: 0.00013 tnm: 0.36 Lm: 6.646 (6.646) Lt: 5.874 (5.874) Accm: 3.18 (3.18) Acct: 5.17 (5.17) proj_loss: -0.5764 (-0.5764) time: 0.4572 data: 0.0003
[11-24 16:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:12:44 tlr: 0.00013 tnm: 0.36 Lm: 6.681 (6.681) Lt: 5.947 (5.947) Accm: 2.86 (2.86) Acct: 4.67 (4.67) proj_loss: -0.5747 (-0.5747) time: 0.4582 data: 0.0004
[11-24 16:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:12:44 tlr: 0.00013 tnm: 0.36 Lm: 6.848 (6.848) Lt: 6.204 (6.204) Accm: 2.30 (2.30) Acct: 3.55 (3.55) proj_loss: -0.6090 (-0.6090) time: 0.4582 data: 0.0004
[11-24 16:51:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:10:29 tlr: 0.00013 tnm: 0.38 Lm: 6.828 (6.828) Lt: 6.168 (6.168) Accm: 2.44 (2.44) Acct: 3.77 (3.77) proj_loss: -0.6002 (-0.6002) time: 0.4861 data: 0.0003
[11-24 16:51:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:10:29 tlr: 0.00013 tnm: 0.38 Lm: 6.575 (6.575) Lt: 5.862 (5.862) Accm: 3.45 (3.45) Acct: 5.43 (5.43) proj_loss: -0.5852 (-0.5852) time: 0.4861 data: 0.0003
[11-24 16:51:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:10:29 tlr: 0.00013 tnm: 0.38 Lm: 6.629 (6.629) Lt: 5.894 (5.894) Accm: 3.06 (3.06) Acct: 4.72 (4.72) proj_loss: -0.5906 (-0.5906) time: 0.4861 data: 0.0003
[11-24 16:51:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:10:29 tlr: 0.00013 tnm: 0.38 Lm: 6.563 (6.563) Lt: 5.814 (5.814) Accm: 3.34 (3.34) Acct: 5.26 (5.26) proj_loss: -0.5898 (-0.5898) time: 0.4861 data: 0.0002
[11-24 16:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:06:53 tlr: 0.00013 tnm: 0.39 Lm: 6.646 (6.620) Lt: 5.874 (5.874) Accm: 3.18 (3.14) Acct: 5.17 (4.94) proj_loss: -0.5870 (-0.5889) time: 0.4881 data: 0.0003
[11-24 16:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:06:53 tlr: 0.00013 tnm: 0.39 Lm: 6.620 (6.626) Lt: 5.892 (5.893) Accm: 3.34 (3.17) Acct: 5.11 (4.87) proj_loss: -0.6040 (-0.6011) time: 0.4881 data: 0.0003
[11-24 16:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:06:53 tlr: 0.00013 tnm: 0.39 Lm: 6.487 (6.545) Lt: 5.788 (5.837) Accm: 3.47 (3.46) Acct: 5.41 (5.42) proj_loss: -0.5956 (-0.5937) time: 0.4881 data: 0.0003
[11-24 16:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:06:53 tlr: 0.00013 tnm: 0.39 Lm: 6.808 (6.743) Lt: 6.132 (6.052) Accm: 2.58 (2.68) Acct: 3.99 (4.22) proj_loss: -0.5913 (-0.5948) time: 0.4881 data: 0.0003
[11-24 16:57:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:03:26 tlr: 0.00013 tnm: 0.37 Lm: 6.699 (6.705) Lt: 5.988 (6.000) Accm: 2.84 (2.79) Acct: 4.51 (4.42) proj_loss: -0.5946 (-0.5955) time: 0.4879 data: 0.0003
[11-24 16:57:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:03:26 tlr: 0.00013 tnm: 0.37 Lm: 6.621 (6.615) Lt: 5.844 (5.859) Accm: 3.11 (3.11) Acct: 5.05 (4.94) proj_loss: -0.5876 (-0.5887) time: 0.4879 data: 0.0003
[11-24 16:57:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:03:26 tlr: 0.00013 tnm: 0.37 Lm: 6.631 (6.630) Lt: 5.881 (5.887) Accm: 3.15 (3.12) Acct: 4.98 (4.86) proj_loss: -0.5963 (-0.5979) time: 0.4879 data: 0.0003
[11-24 16:57:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:03:26 tlr: 0.00013 tnm: 0.37 Lm: 6.512 (6.543) Lt: 5.789 (5.826) Accm: 3.45 (3.45) Acct: 5.48 (5.46) proj_loss: -0.6003 (-0.5965) time: 0.4879 data: 0.0003
[11-24 17:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.39 Lm: 6.537 (6.569) Lt: 5.790 (5.849) Accm: 3.42 (3.30) Acct: 5.41 (5.21) proj_loss: -0.5956 (-0.5939) time: 0.4943 data: 0.0020
[11-24 17:01:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:13:42 (0.493 s / it)
[11-24 17:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.39 Lm: 6.643 (6.642) Lt: 5.892 (5.902) Accm: 2.96 (3.05) Acct: 4.84 (4.82) proj_loss: -0.5886 (-0.5961) time: 0.4943 data: 0.0015
[11-24 17:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.39 Lm: 6.646 (6.657) Lt: 5.874 (5.903) Accm: 3.03 (2.99) Acct: 4.94 (4.78) proj_loss: -0.5881 (-0.5894) time: 0.4943 data: 0.0016
[11-24 17:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.39 Lm: 6.684 (6.701) Lt: 5.918 (5.984) Accm: 3.07 (2.85) Acct: 4.89 (4.51) proj_loss: -0.5913 (-0.5929) time: 0.4943 data: 0.0021
[11-24 17:01:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:13:42 (0.493 s / it)
[11-24 17:01:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:13:42 (0.493 s / it)
[11-24 17:01:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:13:42 (0.493 s / it)
[11-24 17:01:17] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.630 (6.646), Lt: 5.889 (5.909), Acc m&t: 3.05 4.81, Remain: 1 day, 15:29:01, Finish: 2024-11-25 16:30
[11-24 17:01:17] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.630 (6.646), Lt: 5.889 (5.909), Acc m&t: 3.05 4.81, Remain: 1 day, 15:28:39, Finish: 2024-11-25 16:29
[11-24 17:01:17] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.630 (6.646), Lt: 5.889 (5.909), Acc m&t: 3.05 4.81, Remain: 1 day, 15:29:04, Finish: 2024-11-25 16:30
[11-24 17:01:17] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.630 (6.646), Lt: 5.889 (5.909), Acc m&t: 3.05 4.81, Remain: 1 day, 15:29:13, Finish: 2024-11-25 16:30
[11-24 17:01:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:12:54 tlr: 0.00013 tnm: 0.37 Lm: 6.636 (6.636) Lt: 5.884 (5.884) Accm: 3.16 (3.16) Acct: 4.84 (4.84) proj_loss: -0.5899 (-0.5899) time: 0.4639 data: 0.0003
[11-24 17:01:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:12:54 tlr: 0.00013 tnm: 0.37 Lm: 6.617 (6.617) Lt: 5.872 (5.872) Accm: 3.50 (3.50) Acct: 5.54 (5.54) proj_loss: -0.5895 (-0.5895) time: 0.4639 data: 0.0003
[11-24 17:01:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:12:54 tlr: 0.00013 tnm: 0.37 Lm: 6.551 (6.551) Lt: 5.803 (5.803) Accm: 3.38 (3.38) Acct: 5.61 (5.61) proj_loss: -0.5890 (-0.5890) time: 0.4640 data: 0.0003
[11-24 17:01:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:12:54 tlr: 0.00013 tnm: 0.37 Lm: 6.806 (6.806) Lt: 6.088 (6.088) Accm: 2.47 (2.47) Acct: 3.86 (3.86) proj_loss: -0.5763 (-0.5763) time: 0.4641 data: 0.0004
[11-24 17:04:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:10:48 tlr: 0.00013 tnm: 0.37 Lm: 6.702 (6.702) Lt: 5.963 (5.963) Accm: 2.79 (2.79) Acct: 4.50 (4.50) proj_loss: -0.5959 (-0.5959) time: 0.4850 data: 0.0003
[11-24 17:04:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:10:48 tlr: 0.00013 tnm: 0.37 Lm: 6.561 (6.561) Lt: 5.816 (5.816) Accm: 3.25 (3.25) Acct: 5.25 (5.25) proj_loss: -0.5816 (-0.5816) time: 0.4850 data: 0.0002
[11-24 17:04:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:10:48 tlr: 0.00013 tnm: 0.37 Lm: 6.664 (6.664) Lt: 5.916 (5.916) Accm: 3.14 (3.14) Acct: 4.94 (4.94) proj_loss: -0.5911 (-0.5911) time: 0.4850 data: 0.0002
[11-24 17:04:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:10:48 tlr: 0.00013 tnm: 0.37 Lm: 6.655 (6.655) Lt: 5.919 (5.919) Accm: 3.25 (3.25) Acct: 5.11 (5.11) proj_loss: -0.5856 (-0.5856) time: 0.4850 data: 0.0003
[11-24 17:08:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:07:17 tlr: 0.00013 tnm: 0.38 Lm: 6.617 (6.600) Lt: 5.872 (5.868) Accm: 3.44 (3.31) Acct: 5.54 (5.27) proj_loss: -0.5895 (-0.5964) time: 0.4881 data: 0.0003
[11-24 17:08:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:07:17 tlr: 0.00013 tnm: 0.38 Lm: 6.671 (6.666) Lt: 5.903 (5.912) Accm: 3.12 (3.07) Acct: 4.84 (4.87) proj_loss: -0.5922 (-0.5915) time: 0.4881 data: 0.0002
[11-24 17:08:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:07:17 tlr: 0.00013 tnm: 0.38 Lm: 6.570 (6.599) Lt: 5.828 (5.846) Accm: 3.11 (3.11) Acct: 4.89 (5.03) proj_loss: -0.5742 (-0.5787) time: 0.4881 data: 0.0003
[11-24 17:08:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:07:17 tlr: 0.00013 tnm: 0.38 Lm: 6.598 (6.664) Lt: 5.886 (5.937) Accm: 2.87 (2.81) Acct: 4.34 (4.45) proj_loss: -0.6105 (-0.6008) time: 0.4881 data: 0.0003
[11-24 17:11:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:03:34 tlr: 0.00013 tnm: 0.38 Lm: 6.600 (6.648) Lt: 5.891 (5.927) Accm: 2.99 (2.94) Acct: 4.65 (4.58) proj_loss: -0.6058 (-0.6008) time: 0.4905 data: 0.0003
[11-24 17:11:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:03:34 tlr: 0.00013 tnm: 0.38 Lm: 6.609 (6.600) Lt: 5.858 (5.861) Accm: 3.32 (3.28) Acct: 5.48 (5.31) proj_loss: -0.5856 (-0.5922) time: 0.4905 data: 0.0003
[11-24 17:11:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:03:34 tlr: 0.00013 tnm: 0.38 Lm: 6.603 (6.608) Lt: 5.868 (5.880) Accm: 3.20 (3.15) Acct: 4.82 (4.96) proj_loss: -0.5816 (-0.5842) time: 0.4905 data: 0.0003
[11-24 17:11:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:03:34 tlr: 0.00013 tnm: 0.38 Lm: 6.681 (6.704) Lt: 5.925 (5.947) Accm: 3.02 (2.98) Acct: 4.78 (4.67) proj_loss: -0.5911 (-0.5877) time: 0.4905 data: 0.0003
[11-24 17:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.691 (6.706) Lt: 5.947 (5.954) Accm: 2.92 (2.95) Acct: 4.72 (4.60) proj_loss: -0.5922 (-0.5891) time: 0.4906 data: 0.0015
[11-24 17:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:14:05 (0.507 s / it)
[11-24 17:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.617 (6.605) Lt: 5.872 (5.873) Accm: 3.21 (3.19) Acct: 5.42 (5.13) proj_loss: -0.5895 (-0.5932) time: 0.4905 data: 0.0016
[11-24 17:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.635 (6.619) Lt: 5.908 (5.887) Accm: 3.11 (3.12) Acct: 4.75 (4.86) proj_loss: -0.5742 (-0.5812) time: 0.4906 data: 0.0017
[11-24 17:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.598 (6.622) Lt: 5.886 (5.899) Accm: 3.08 (2.96) Acct: 4.49 (4.56) proj_loss: -0.6010 (-0.5982) time: 0.4906 data: 0.0019
[11-24 17:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:14:05 (0.507 s / it)
[11-24 17:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:14:05 (0.507 s / it)
[11-24 17:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:14:05 (0.507 s / it)
[11-24 17:18:03] (home/user/VAR/trainer.py, line 114)=> FID: 4.134738219746396
[11-24 17:18:03] (/home/user/VAR/train.py , line 259)=> [*] [ep179] (val 50000) Lm: 6.6421, Lt: 5.9066, Acc m&t: 3.01 4.73, Val cost: 160.14s
[11-24 17:18:03] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 17:18:17] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.630 (6.642), Lt: 5.889 (5.907), Acc m&t: 3.05 4.81, Remain: 1 day, 15:05:39, Finish: 2024-11-25 16:21
[11-24 17:18:17] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.630 (6.642), Lt: 5.889 (5.907), Acc m&t: 3.05 4.81, Remain: 1 day, 15:05:17, Finish: 2024-11-25 16:20
[11-24 17:18:17] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.630 (6.642), Lt: 5.889 (5.907), Acc m&t: 3.05 4.81, Remain: 1 day, 15:04:49, Finish: 2024-11-25 16:20
[11-24 17:18:17] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.630 (6.642), Lt: 5.889 (5.907), Acc m&t: 3.05 4.81, Remain: 1 day, 15:04:49, Finish: 2024-11-25 16:20
[11-24 17:18:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:13:20 tlr: 0.00013 tnm: 0.37 Lm: 6.671 (6.671) Lt: 5.958 (5.958) Accm: 2.87 (2.87) Acct: 4.37 (4.37) proj_loss: -0.5834 (-0.5834) time: 0.4798 data: 0.0004
[11-24 17:18:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:13:19 tlr: 0.00013 tnm: 0.37 Lm: 6.646 (6.646) Lt: 5.944 (5.944) Accm: 2.83 (2.83) Acct: 4.25 (4.25) proj_loss: -0.5766 (-0.5766) time: 0.4790 data: 0.0003
[11-24 17:18:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:13:25 tlr: 0.00013 tnm: 0.37 Lm: 6.729 (6.729) Lt: 6.013 (6.013) Accm: 2.99 (2.99) Acct: 4.79 (4.79) proj_loss: -0.5868 (-0.5868) time: 0.4829 data: 0.0004
[11-24 17:18:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:13:20 tlr: 0.00013 tnm: 0.37 Lm: 6.584 (6.584) Lt: 5.816 (5.816) Accm: 3.45 (3.45) Acct: 5.68 (5.68) proj_loss: -0.5808 (-0.5808) time: 0.4799 data: 0.0004
[11-24 17:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:10:10 tlr: 0.00013 tnm: 0.38 Lm: 6.613 (6.613) Lt: 5.840 (5.840) Accm: 3.16 (3.16) Acct: 5.23 (5.23) proj_loss: -0.5790 (-0.5790) time: 0.4895 data: 0.0003
[11-24 17:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:10:10 tlr: 0.00013 tnm: 0.38 Lm: 6.620 (6.620) Lt: 5.924 (5.924) Accm: 3.19 (3.19) Acct: 4.99 (4.99) proj_loss: -0.6013 (-0.6013) time: 0.4895 data: 0.0003
[11-24 17:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:10:10 tlr: 0.00013 tnm: 0.38 Lm: 6.643 (6.643) Lt: 5.891 (5.891) Accm: 2.95 (2.95) Acct: 4.46 (4.46) proj_loss: -0.5827 (-0.5827) time: 0.4895 data: 0.0002
[11-24 17:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:10:10 tlr: 0.00013 tnm: 0.38 Lm: 6.660 (6.660) Lt: 5.943 (5.943) Accm: 2.89 (2.89) Acct: 4.55 (4.55) proj_loss: -0.5874 (-0.5874) time: 0.4895 data: 0.0002
[11-24 17:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:06:48 tlr: 0.00013 tnm: 0.37 Lm: 6.646 (6.619) Lt: 5.942 (5.870) Accm: 2.95 (2.98) Acct: 4.86 (4.71) proj_loss: -0.5766 (-0.5834) time: 0.4879 data: 0.0003
[11-24 17:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:06:48 tlr: 0.00013 tnm: 0.37 Lm: 6.729 (6.689) Lt: 6.013 (5.993) Accm: 2.99 (2.98) Acct: 4.79 (4.72) proj_loss: -0.6009 (-0.6012) time: 0.4879 data: 0.0003
[11-24 17:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:06:48 tlr: 0.00013 tnm: 0.37 Lm: 6.615 (6.583) Lt: 5.825 (5.823) Accm: 3.02 (3.27) Acct: 4.55 (5.06) proj_loss: -0.5834 (-0.5867) time: 0.4879 data: 0.0002
[11-24 17:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:06:48 tlr: 0.00013 tnm: 0.37 Lm: 6.584 (6.571) Lt: 5.816 (5.786) Accm: 3.20 (3.17) Acct: 5.15 (5.20) proj_loss: -0.5772 (-0.5732) time: 0.4879 data: 0.0003
[11-24 17:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:03:30 tlr: 0.00013 tnm: 0.36 Lm: 6.613 (6.591) Lt: 5.840 (5.817) Accm: 3.13 (3.15) Acct: 4.97 (5.10) proj_loss: -0.5790 (-0.5831) time: 0.5435 data: 0.0003
[11-24 17:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:03:30 tlr: 0.00013 tnm: 0.36 Lm: 6.660 (6.645) Lt: 5.943 (5.911) Accm: 2.95 (2.98) Acct: 4.69 (4.67) proj_loss: -0.5830 (-0.5849) time: 0.5434 data: 0.0003
[11-24 17:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:03:30 tlr: 0.00013 tnm: 0.36 Lm: 6.641 (6.604) Lt: 5.882 (5.852) Accm: 2.99 (3.19) Acct: 4.67 (5.00) proj_loss: -0.5890 (-0.5888) time: 0.5434 data: 0.0003
[11-24 17:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:03:30 tlr: 0.00013 tnm: 0.36 Lm: 6.741 (6.705) Lt: 6.038 (6.011) Accm: 2.79 (2.88) Acct: 4.49 (4.53) proj_loss: -0.6017 (-0.6015) time: 0.5434 data: 0.0003
[11-24 17:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.729 (6.687) Lt: 6.013 (5.986) Accm: 2.99 (2.97) Acct: 4.79 (4.60) proj_loss: -0.6009 (-0.6007) time: 0.4878 data: 0.0017
[11-24 17:32:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:14:04 (0.506 s / it)
[11-24 17:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.673 (6.656) Lt: 5.942 (5.912) Accm: 2.95 (2.94) Acct: 4.53 (4.64) proj_loss: -0.5893 (-0.5866) time: 0.4878 data: 0.0015
[11-24 17:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.615 (6.599) Lt: 5.825 (5.842) Accm: 3.02 (3.26) Acct: 4.80 (5.08) proj_loss: -0.5946 (-0.5928) time: 0.4878 data: 0.0019
[11-24 17:32:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.37 Lm: 6.642 (6.614) Lt: 5.864 (5.846) Accm: 3.06 (3.10) Acct: 4.79 (5.01) proj_loss: -0.5808 (-0.5857) time: 0.4878 data: 0.0019
[11-24 17:32:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:14:04 (0.506 s / it)
[11-24 17:32:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:14:04 (0.506 s / it)
[11-24 17:32:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:14:04 (0.506 s / it)
[11-24 17:32:22] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.630 (6.637), Lt: 5.889 (5.899), Acc m&t: 3.05 4.81, Remain: 1 day, 14:43:51, Finish: 2024-11-25 16:16
[11-24 17:32:22] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.630 (6.637), Lt: 5.889 (5.899), Acc m&t: 3.05 4.81, Remain: 1 day, 14:44:09, Finish: 2024-11-25 16:16
[11-24 17:32:22] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.630 (6.637), Lt: 5.889 (5.899), Acc m&t: 3.05 4.81, Remain: 1 day, 14:42:47, Finish: 2024-11-25 16:15
[11-24 17:32:22] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.630 (6.637), Lt: 5.889 (5.899), Acc m&t: 3.05 4.81, Remain: 1 day, 14:44:22, Finish: 2024-11-25 16:16
[11-24 17:32:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:13:36 tlr: 0.00013 tnm: 0.39 Lm: 6.510 (6.510) Lt: 5.754 (5.754) Accm: 3.38 (3.38) Acct: 5.51 (5.51) proj_loss: -0.6013 (-0.6013) time: 0.4891 data: 0.0003
[11-24 17:32:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:13:27 tlr: 0.00013 tnm: 0.39 Lm: 6.547 (6.547) Lt: 5.827 (5.827) Accm: 2.99 (2.99) Acct: 4.63 (4.63) proj_loss: -0.5848 (-0.5848) time: 0.4838 data: 0.0004
[11-24 17:32:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:13:28 tlr: 0.00013 tnm: 0.39 Lm: 6.516 (6.516) Lt: 5.786 (5.786) Accm: 3.24 (3.24) Acct: 5.32 (5.32) proj_loss: -0.5971 (-0.5971) time: 0.4844 data: 0.0003
[11-24 17:32:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:13:25 tlr: 0.00013 tnm: 0.39 Lm: 6.668 (6.668) Lt: 5.953 (5.953) Accm: 2.88 (2.88) Acct: 4.58 (4.58) proj_loss: -0.5927 (-0.5927) time: 0.4828 data: 0.0004
[11-24 17:35:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:10:20 tlr: 0.00013 tnm: 0.37 Lm: 6.665 (6.665) Lt: 5.936 (5.936) Accm: 2.99 (2.99) Acct: 4.70 (4.70) proj_loss: -0.5871 (-0.5871) time: 0.4871 data: 0.0003
[11-24 17:35:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:10:20 tlr: 0.00013 tnm: 0.37 Lm: 6.533 (6.533) Lt: 5.780 (5.780) Accm: 3.35 (3.35) Acct: 5.29 (5.29) proj_loss: -0.5896 (-0.5896) time: 0.4871 data: 0.0002
[11-24 17:35:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:10:20 tlr: 0.00013 tnm: 0.37 Lm: 6.617 (6.617) Lt: 5.890 (5.890) Accm: 3.05 (3.05) Acct: 4.92 (4.92) proj_loss: -0.5917 (-0.5917) time: 0.4871 data: 0.0003
[11-24 17:35:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:10:20 tlr: 0.00013 tnm: 0.37 Lm: 6.628 (6.628) Lt: 5.887 (5.887) Accm: 2.98 (2.98) Acct: 4.61 (4.61) proj_loss: -0.5835 (-0.5835) time: 0.4871 data: 0.0003
[11-24 17:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:06:49 tlr: 0.00013 tnm: 0.39 Lm: 6.709 (6.686) Lt: 5.946 (5.952) Accm: 2.98 (2.92) Acct: 4.58 (4.49) proj_loss: -0.5822 (-0.5761) time: 0.4881 data: 0.0003
[11-24 17:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:06:50 tlr: 0.00013 tnm: 0.39 Lm: 6.655 (6.630) Lt: 5.901 (5.893) Accm: 3.04 (3.04) Acct: 4.75 (4.86) proj_loss: -0.5871 (-0.5902) time: 0.4881 data: 0.0003
[11-24 17:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:06:49 tlr: 0.00013 tnm: 0.39 Lm: 6.668 (6.692) Lt: 5.953 (5.971) Accm: 2.89 (2.96) Acct: 4.58 (4.57) proj_loss: -0.5885 (-0.5876) time: 0.4881 data: 0.0003
[11-24 17:39:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:06:49 tlr: 0.00013 tnm: 0.39 Lm: 6.551 (6.568) Lt: 5.786 (5.810) Accm: 3.24 (3.16) Acct: 5.25 (5.06) proj_loss: -0.5937 (-0.5910) time: 0.4881 data: 0.0003
[11-24 17:42:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:03:24 tlr: 0.00013 tnm: 0.37 Lm: 6.551 (6.564) Lt: 5.802 (5.812) Accm: 3.31 (3.21) Acct: 5.29 (5.17) proj_loss: -0.5954 (-0.5930) time: 0.4922 data: 0.0002
[11-24 17:42:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:03:24 tlr: 0.00013 tnm: 0.37 Lm: 6.647 (6.632) Lt: 5.894 (5.892) Accm: 2.96 (3.00) Acct: 4.61 (4.76) proj_loss: -0.5942 (-0.5953) time: 0.4922 data: 0.0003
[11-24 17:42:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:03:24 tlr: 0.00013 tnm: 0.37 Lm: 6.661 (6.668) Lt: 5.914 (5.934) Accm: 2.98 (2.99) Acct: 4.61 (4.63) proj_loss: -0.5835 (-0.5838) time: 0.4922 data: 0.0003
[11-24 17:42:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:03:24 tlr: 0.00013 tnm: 0.37 Lm: 6.665 (6.662) Lt: 5.936 (5.954) Accm: 2.96 (2.97) Acct: 4.47 (4.52) proj_loss: -0.5906 (-0.5938) time: 0.4922 data: 0.0003
[11-24 17:46:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.38 Lm: 6.668 (6.677) Lt: 5.953 (5.967) Accm: 3.01 (2.98) Acct: 4.58 (4.59) proj_loss: -0.5885 (-0.5925) time: 0.5419 data: 0.0019
[11-24 17:46:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:13:43 (0.493 s / it)
[11-24 17:46:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.38 Lm: 6.639 (6.624) Lt: 5.888 (5.873) Accm: 3.04 (3.04) Acct: 4.75 (4.84) proj_loss: -0.6013 (-0.5970) time: 0.5419 data: 0.0014
[11-24 17:46:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.38 Lm: 6.709 (6.690) Lt: 5.946 (5.953) Accm: 2.98 (2.94) Acct: 4.58 (4.59) proj_loss: -0.5848 (-0.5844) time: 0.5419 data: 0.0015
[11-24 17:46:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.38 Lm: 6.551 (6.567) Lt: 5.817 (5.821) Accm: 3.24 (3.22) Acct: 5.25 (5.09) proj_loss: -0.5954 (-0.5935) time: 0.5419 data: 0.0018
[11-24 17:46:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:13:43 (0.493 s / it)
[11-24 17:46:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:13:43 (0.493 s / it)
[11-24 17:46:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:13:43 (0.493 s / it)
[11-24 17:46:05] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.630 (6.644), Lt: 5.889 (5.914), Acc m&t: 3.05 4.81, Remain: 1 day, 14:29:58, Finish: 2024-11-25 16:16
[11-24 17:46:05] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.630 (6.644), Lt: 5.889 (5.914), Acc m&t: 3.05 4.81, Remain: 1 day, 14:29:42, Finish: 2024-11-25 16:15
[11-24 17:46:05] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.630 (6.644), Lt: 5.889 (5.914), Acc m&t: 3.05 4.81, Remain: 1 day, 14:32:33, Finish: 2024-11-25 16:18
[11-24 17:46:05] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.630 (6.644), Lt: 5.889 (5.914), Acc m&t: 3.05 4.81, Remain: 1 day, 14:30:00, Finish: 2024-11-25 16:16
[11-24 17:46:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:13:46 tlr: 0.00012 tnm: 0.37 Lm: 6.620 (6.620) Lt: 5.889 (5.889) Accm: 2.88 (2.88) Acct: 4.42 (4.42) proj_loss: -0.5727 (-0.5727) time: 0.4954 data: 0.0004
[11-24 17:46:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:13:46 tlr: 0.00012 tnm: 0.37 Lm: 6.605 (6.605) Lt: 5.847 (5.847) Accm: 3.14 (3.14) Acct: 5.11 (5.11) proj_loss: -0.5918 (-0.5918) time: 0.4953 data: 0.0003
[11-24 17:46:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:13:47 tlr: 0.00012 tnm: 0.37 Lm: 6.629 (6.629) Lt: 5.922 (5.922) Accm: 2.99 (2.99) Acct: 4.56 (4.56) proj_loss: -0.6129 (-0.6129) time: 0.4959 data: 0.0003
[11-24 17:46:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:13:47 tlr: 0.00012 tnm: 0.37 Lm: 6.768 (6.768) Lt: 6.039 (6.039) Accm: 2.80 (2.80) Acct: 4.75 (4.75) proj_loss: -0.6186 (-0.6186) time: 0.4960 data: 0.0004
[11-24 17:49:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:10:53 tlr: 0.00012 tnm: 0.37 Lm: 6.726 (6.726) Lt: 5.988 (5.988) Accm: 2.90 (2.90) Acct: 4.92 (4.92) proj_loss: -0.6087 (-0.6087) time: 0.4879 data: 0.0003
[11-24 17:49:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:10:53 tlr: 0.00012 tnm: 0.37 Lm: 6.701 (6.701) Lt: 5.947 (5.947) Accm: 2.83 (2.83) Acct: 4.49 (4.49) proj_loss: -0.5829 (-0.5829) time: 0.4879 data: 0.0002
[11-24 17:49:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:10:53 tlr: 0.00012 tnm: 0.37 Lm: 6.744 (6.744) Lt: 6.029 (6.029) Accm: 2.64 (2.64) Acct: 4.14 (4.14) proj_loss: -0.5739 (-0.5739) time: 0.4879 data: 0.0002
[11-24 17:49:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:10:53 tlr: 0.00012 tnm: 0.37 Lm: 6.572 (6.572) Lt: 5.854 (5.854) Accm: 3.14 (3.14) Acct: 4.97 (4.97) proj_loss: -0.5928 (-0.5928) time: 0.4879 data: 0.0002
[11-24 17:53:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:07:15 tlr: 0.00012 tnm: 0.39 Lm: 6.605 (6.626) Lt: 5.861 (5.912) Accm: 3.14 (3.07) Acct: 4.82 (4.79) proj_loss: -0.5918 (-0.5883) time: 0.4922 data: 0.0002
[11-24 17:53:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:07:15 tlr: 0.00012 tnm: 0.39 Lm: 6.693 (6.698) Lt: 5.971 (5.955) Accm: 2.67 (2.77) Acct: 4.41 (4.37) proj_loss: -0.6096 (-0.5918) time: 0.4922 data: 0.0003
[11-24 17:53:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:07:15 tlr: 0.00012 tnm: 0.39 Lm: 6.715 (6.735) Lt: 5.947 (6.002) Accm: 2.88 (2.75) Acct: 4.42 (4.28) proj_loss: -0.5752 (-0.5796) time: 0.4922 data: 0.0003
[11-24 17:53:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:07:15 tlr: 0.00012 tnm: 0.39 Lm: 6.685 (6.708) Lt: 5.966 (5.981) Accm: 2.95 (2.91) Acct: 4.75 (4.80) proj_loss: -0.5999 (-0.6057) time: 0.4922 data: 0.0003
[11-24 17:56:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:03:33 tlr: 0.00012 tnm: 0.36 Lm: 6.678 (6.698) Lt: 5.952 (5.970) Accm: 2.94 (2.92) Acct: 4.66 (4.68) proj_loss: -0.5993 (-0.5934) time: 0.4889 data: 0.0003
[11-24 17:56:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:03:33 tlr: 0.00012 tnm: 0.36 Lm: 6.667 (6.703) Lt: 5.918 (5.968) Accm: 2.93 (2.88) Acct: 4.49 (4.46) proj_loss: -0.5831 (-0.5860) time: 0.4889 data: 0.0003
[11-24 17:56:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:03:33 tlr: 0.00012 tnm: 0.36 Lm: 6.661 (6.632) Lt: 5.946 (5.870) Accm: 2.83 (2.96) Acct: 4.49 (4.76) proj_loss: -0.5929 (-0.5879) time: 0.4889 data: 0.0003
[11-24 17:56:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:03:33 tlr: 0.00012 tnm: 0.36 Lm: 6.645 (6.641) Lt: 5.884 (5.910) Accm: 3.07 (3.05) Acct: 4.88 (4.83) proj_loss: -0.5912 (-0.5889) time: 0.4889 data: 0.0002
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.685 (6.657) Lt: 5.906 (5.928) Accm: 2.99 (3.01) Acct: 4.82 (4.71) proj_loss: -0.5906 (-0.5875) time: 0.4942 data: 0.0017
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:14:03 (0.505 s / it)
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.672 (6.647) Lt: 5.938 (5.917) Accm: 2.95 (3.09) Acct: 4.75 (4.98) proj_loss: -0.5999 (-0.5962) time: 0.4942 data: 0.0016
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.629 (6.626) Lt: 5.922 (5.877) Accm: 2.99 (2.98) Acct: 4.56 (4.78) proj_loss: -0.5979 (-0.5899) time: 0.4942 data: 0.0018
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.658 (6.694) Lt: 5.922 (5.959) Accm: 2.93 (2.89) Acct: 4.55 (4.52) proj_loss: -0.5910 (-0.5880) time: 0.4942 data: 0.0017
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:14:03 (0.505 s / it)
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:14:03 (0.505 s / it)
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:14:03 (0.505 s / it)
[11-24 18:00:09] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.630 (6.640), Lt: 5.889 (5.906), Acc m&t: 3.05 4.81, Remain: 1 day, 14:33:24, Finish: 2024-11-25 16:33
[11-24 18:00:09] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.630 (6.640), Lt: 5.889 (5.906), Acc m&t: 3.05 4.81, Remain: 1 day, 14:32:38, Finish: 2024-11-25 16:32
[11-24 18:00:09] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.630 (6.640), Lt: 5.889 (5.906), Acc m&t: 3.05 4.81, Remain: 1 day, 14:32:51, Finish: 2024-11-25 16:33
[11-24 18:00:09] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.630 (6.640), Lt: 5.889 (5.906), Acc m&t: 3.05 4.81, Remain: 1 day, 14:32:41, Finish: 2024-11-25 16:32
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:13:15 tlr: 0.00012 tnm: 0.40 Lm: 6.628 (6.628) Lt: 5.883 (5.883) Accm: 2.91 (2.91) Acct: 4.68 (4.68) proj_loss: -0.5882 (-0.5882) time: 0.4767 data: 0.0004
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:13:16 tlr: 0.00012 tnm: 0.40 Lm: 6.622 (6.622) Lt: 5.917 (5.917) Accm: 3.04 (3.04) Acct: 4.72 (4.72) proj_loss: -0.6078 (-0.6078) time: 0.4773 data: 0.0004
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:13:16 tlr: 0.00012 tnm: 0.40 Lm: 6.717 (6.717) Lt: 5.987 (5.987) Accm: 2.83 (2.83) Acct: 4.30 (4.30) proj_loss: -0.5897 (-0.5897) time: 0.4772 data: 0.0004
[11-24 18:00:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:13:17 tlr: 0.00012 tnm: 0.40 Lm: 6.520 (6.520) Lt: 5.729 (5.729) Accm: 3.17 (3.17) Acct: 4.80 (4.80) proj_loss: -0.5801 (-0.5801) time: 0.4776 data: 0.0003
[11-24 18:03:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.39 Lm: 6.588 (6.588) Lt: 5.819 (5.819) Accm: 3.22 (3.22) Acct: 4.98 (4.98) proj_loss: -0.5787 (-0.5787) time: 0.4863 data: 0.0002
[11-24 18:03:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.39 Lm: 6.650 (6.650) Lt: 5.947 (5.947) Accm: 2.92 (2.92) Acct: 4.52 (4.52) proj_loss: -0.6032 (-0.6032) time: 0.4862 data: 0.0003
[11-24 18:03:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.39 Lm: 6.639 (6.639) Lt: 5.890 (5.890) Accm: 2.86 (2.86) Acct: 4.58 (4.58) proj_loss: -0.5862 (-0.5862) time: 0.4863 data: 0.0003
[11-24 18:03:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.39 Lm: 6.604 (6.604) Lt: 5.861 (5.861) Accm: 3.17 (3.17) Acct: 4.93 (4.93) proj_loss: -0.5845 (-0.5845) time: 0.4863 data: 0.0003
[11-24 18:06:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:06:50 tlr: 0.00012 tnm: 0.37 Lm: 6.597 (6.602) Lt: 5.851 (5.857) Accm: 3.35 (3.23) Acct: 5.17 (5.01) proj_loss: -0.5794 (-0.5767) time: 0.4871 data: 0.0002
[11-24 18:06:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:06:50 tlr: 0.00012 tnm: 0.37 Lm: 6.573 (6.583) Lt: 5.797 (5.812) Accm: 3.17 (3.11) Acct: 4.80 (4.84) proj_loss: -0.5801 (-0.5822) time: 0.4871 data: 0.0002
[11-24 18:06:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:06:50 tlr: 0.00012 tnm: 0.37 Lm: 6.628 (6.635) Lt: 5.883 (5.864) Accm: 2.91 (2.94) Acct: 4.68 (4.77) proj_loss: -0.5882 (-0.5891) time: 0.4871 data: 0.0003
[11-24 18:06:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:06:50 tlr: 0.00012 tnm: 0.37 Lm: 6.639 (6.646) Lt: 5.941 (5.945) Accm: 3.04 (3.01) Acct: 4.72 (4.61) proj_loss: -0.5986 (-0.5980) time: 0.4871 data: 0.0003
[11-24 18:10:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.38 Lm: 6.630 (6.618) Lt: 5.929 (5.900) Accm: 3.11 (3.05) Acct: 4.75 (4.69) proj_loss: -0.5932 (-0.5954) time: 0.5485 data: 0.0003
[11-24 18:10:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.38 Lm: 6.582 (6.593) Lt: 5.818 (5.840) Accm: 3.43 (3.33) Acct: 5.36 (5.26) proj_loss: -0.5800 (-0.5777) time: 0.5485 data: 0.0003
[11-24 18:10:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.38 Lm: 6.614 (6.605) Lt: 5.852 (5.836) Accm: 3.13 (3.11) Acct: 4.91 (4.88) proj_loss: -0.5787 (-0.5798) time: 0.5485 data: 0.0003
[11-24 18:10:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.38 Lm: 6.638 (6.638) Lt: 5.880 (5.868) Accm: 2.92 (2.93) Acct: 4.64 (4.73) proj_loss: -0.5865 (-0.5880) time: 0.5486 data: 0.0003
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.628 (6.620) Lt: 5.878 (5.854) Accm: 2.93 (2.94) Acct: 4.65 (4.71) proj_loss: -0.5882 (-0.5907) time: 0.4905 data: 0.0015
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:14:08 (0.508 s / it)
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.655 (6.635) Lt: 5.908 (5.873) Accm: 3.10 (3.02) Acct: 4.80 (4.80) proj_loss: -0.5789 (-0.5796) time: 0.4905 data: 0.0017
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.597 (6.596) Lt: 5.851 (5.849) Accm: 3.35 (3.30) Acct: 5.17 (5.20) proj_loss: -0.5805 (-0.5802) time: 0.4905 data: 0.0021
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.639 (6.652) Lt: 5.941 (5.933) Accm: 3.04 (2.94) Acct: 4.72 (4.60) proj_loss: -0.5986 (-0.5974) time: 0.4905 data: 0.0018
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:14:08 (0.508 s / it)
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:14:08 (0.508 s / it)
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:14:08 (0.508 s / it)
[11-24 18:14:17] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.630 (6.643), Lt: 5.889 (5.906), Acc m&t: 3.05 4.81, Remain: 1 day, 14:00:43, Finish: 2024-11-25 16:15
[11-24 18:14:17] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.630 (6.643), Lt: 5.889 (5.906), Acc m&t: 3.05 4.81, Remain: 1 day, 13:58:34, Finish: 2024-11-25 16:12
[11-24 18:14:17] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.630 (6.643), Lt: 5.889 (5.906), Acc m&t: 3.05 4.81, Remain: 1 day, 13:58:41, Finish: 2024-11-25 16:12
[11-24 18:14:17] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.630 (6.643), Lt: 5.889 (5.906), Acc m&t: 3.05 4.81, Remain: 1 day, 14:00:14, Finish: 2024-11-25 16:14
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:12:50 tlr: 0.00012 tnm: 0.39 Lm: 6.539 (6.539) Lt: 5.774 (5.774) Accm: 3.44 (3.44) Acct: 5.63 (5.63) proj_loss: -0.5846 (-0.5846) time: 0.4617 data: 0.0003
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:12:51 tlr: 0.00012 tnm: 0.39 Lm: 6.624 (6.624) Lt: 5.884 (5.884) Accm: 2.87 (2.87) Acct: 4.58 (4.58) proj_loss: -0.6011 (-0.6011) time: 0.4623 data: 0.0004
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:12:49 tlr: 0.00012 tnm: 0.39 Lm: 6.670 (6.670) Lt: 5.958 (5.958) Accm: 2.91 (2.91) Acct: 4.67 (4.67) proj_loss: -0.6134 (-0.6134) time: 0.4609 data: 0.0004
[11-24 18:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:12:52 tlr: 0.00012 tnm: 0.39 Lm: 6.492 (6.492) Lt: 5.754 (5.754) Accm: 3.15 (3.15) Acct: 4.86 (4.86) proj_loss: -0.5945 (-0.5945) time: 0.4630 data: 0.0003
[11-24 18:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.40 Lm: 6.622 (6.622) Lt: 5.906 (5.906) Accm: 2.95 (2.95) Acct: 4.60 (4.60) proj_loss: -0.5849 (-0.5849) time: 0.4893 data: 0.0003
[11-24 18:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.40 Lm: 6.618 (6.618) Lt: 5.856 (5.856) Accm: 3.07 (3.07) Acct: 4.92 (4.92) proj_loss: -0.5956 (-0.5956) time: 0.4892 data: 0.0003
[11-24 18:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.40 Lm: 6.686 (6.686) Lt: 5.959 (5.959) Accm: 2.78 (2.78) Acct: 4.47 (4.47) proj_loss: -0.5989 (-0.5989) time: 0.4892 data: 0.0003
[11-24 18:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.40 Lm: 6.592 (6.592) Lt: 5.862 (5.862) Accm: 3.10 (3.10) Acct: 4.90 (4.90) proj_loss: -0.5869 (-0.5869) time: 0.4893 data: 0.0003
[11-24 18:21:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:06:47 tlr: 0.00012 tnm: 0.39 Lm: 6.644 (6.609) Lt: 5.892 (5.872) Accm: 3.09 (3.10) Acct: 4.94 (4.91) proj_loss: -0.5893 (-0.5886) time: 0.4861 data: 0.0004
[11-24 18:21:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:06:47 tlr: 0.00012 tnm: 0.39 Lm: 6.624 (6.621) Lt: 5.843 (5.851) Accm: 3.02 (3.05) Acct: 4.80 (4.88) proj_loss: -0.5902 (-0.5938) time: 0.4861 data: 0.0003
[11-24 18:21:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:06:47 tlr: 0.00012 tnm: 0.39 Lm: 6.670 (6.670) Lt: 5.958 (5.933) Accm: 2.91 (2.84) Acct: 4.67 (4.57) proj_loss: -0.5952 (-0.5977) time: 0.4861 data: 0.0003
[11-24 18:21:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:06:47 tlr: 0.00012 tnm: 0.39 Lm: 6.706 (6.650) Lt: 6.032 (5.948) Accm: 2.76 (2.82) Acct: 4.34 (4.44) proj_loss: -0.5945 (-0.5909) time: 0.4861 data: 0.0003
[11-24 18:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:03:23 tlr: 0.00012 tnm: 0.39 Lm: 6.729 (6.690) Lt: 6.045 (5.985) Accm: 2.66 (2.75) Acct: 4.23 (4.32) proj_loss: -0.5919 (-0.5905) time: 0.4899 data: 0.0003
[11-24 18:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:03:23 tlr: 0.00012 tnm: 0.39 Lm: 6.618 (6.611) Lt: 5.846 (5.851) Accm: 3.14 (3.15) Acct: 4.98 (4.95) proj_loss: -0.5919 (-0.5938) time: 0.4899 data: 0.0003
[11-24 18:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:03:23 tlr: 0.00012 tnm: 0.39 Lm: 6.624 (6.608) Lt: 5.859 (5.861) Accm: 3.11 (3.10) Acct: 5.12 (5.01) proj_loss: -0.5879 (-0.5880) time: 0.4899 data: 0.0003
[11-24 18:24:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:03:23 tlr: 0.00012 tnm: 0.39 Lm: 6.675 (6.672) Lt: 5.955 (5.937) Accm: 2.94 (2.87) Acct: 4.55 (4.54) proj_loss: -0.5962 (-0.5976) time: 0.4899 data: 0.0003
[11-24 18:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.670 (6.672) Lt: 5.951 (5.940) Accm: 2.91 (2.87) Acct: 4.67 (4.58) proj_loss: -0.5952 (-0.5932) time: 0.5370 data: 0.0018
[11-24 18:28:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:13:43 (0.493 s / it)
[11-24 18:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.706 (6.639) Lt: 6.032 (5.926) Accm: 2.76 (2.95) Acct: 4.34 (4.67) proj_loss: -0.5894 (-0.5898) time: 0.5369 data: 0.0018
[11-24 18:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.613 (6.597) Lt: 5.843 (5.839) Accm: 3.26 (3.20) Acct: 5.17 (5.02) proj_loss: -0.5936 (-0.5944) time: 0.5370 data: 0.0015
[11-24 18:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.644 (6.636) Lt: 5.892 (5.881) Accm: 3.09 (3.05) Acct: 4.94 (4.91) proj_loss: -0.5864 (-0.5864) time: 0.5370 data: 0.0013
[11-24 18:28:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:13:43 (0.493 s / it)
[11-24 18:28:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:13:43 (0.493 s / it)
[11-24 18:28:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:13:43 (0.493 s / it)
[11-24 18:28:00] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.630 (6.635), Lt: 5.889 (5.898), Acc m&t: 3.05 4.81, Remain: 1 day, 13:37:42, Finish: 2024-11-25 16:05
[11-24 18:28:00] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.630 (6.635), Lt: 5.889 (5.898), Acc m&t: 3.05 4.81, Remain: 1 day, 13:37:06, Finish: 2024-11-25 16:05
[11-24 18:28:00] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.630 (6.635), Lt: 5.889 (5.898), Acc m&t: 3.05 4.81, Remain: 1 day, 13:38:20, Finish: 2024-11-25 16:06
[11-24 18:28:00] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.630 (6.635), Lt: 5.889 (5.898), Acc m&t: 3.05 4.81, Remain: 1 day, 13:36:55, Finish: 2024-11-25 16:04
[11-24 18:28:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:12:56 tlr: 0.00012 tnm: 0.38 Lm: 6.642 (6.642) Lt: 5.865 (5.865) Accm: 3.34 (3.34) Acct: 5.37 (5.37) proj_loss: -0.5809 (-0.5809) time: 0.4654 data: 0.0003
[11-24 18:28:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:12:57 tlr: 0.00012 tnm: 0.38 Lm: 6.754 (6.754) Lt: 6.085 (6.085) Accm: 2.84 (2.84) Acct: 4.56 (4.56) proj_loss: -0.5850 (-0.5850) time: 0.4657 data: 0.0004
[11-24 18:28:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:12:57 tlr: 0.00012 tnm: 0.38 Lm: 6.738 (6.738) Lt: 5.998 (5.998) Accm: 2.84 (2.84) Acct: 4.73 (4.73) proj_loss: -0.5787 (-0.5787) time: 0.4656 data: 0.0004
[11-24 18:28:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:12:56 tlr: 0.00012 tnm: 0.38 Lm: 6.582 (6.582) Lt: 5.803 (5.803) Accm: 3.00 (3.00) Acct: 4.80 (4.80) proj_loss: -0.5834 (-0.5834) time: 0.4655 data: 0.0003
[11-24 18:31:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:11:02 tlr: 0.00012 tnm: 0.40 Lm: 6.556 (6.556) Lt: 5.773 (5.773) Accm: 3.27 (3.27) Acct: 5.06 (5.06) proj_loss: -0.5875 (-0.5875) time: 0.5374 data: 0.0003
[11-24 18:31:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:11:03 tlr: 0.00012 tnm: 0.40 Lm: 6.714 (6.714) Lt: 6.003 (6.003) Accm: 2.84 (2.84) Acct: 4.50 (4.50) proj_loss: -0.5891 (-0.5891) time: 0.5374 data: 0.0003
[11-24 18:31:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:11:03 tlr: 0.00012 tnm: 0.40 Lm: 6.720 (6.720) Lt: 5.997 (5.997) Accm: 2.75 (2.75) Acct: 4.49 (4.49) proj_loss: -0.5852 (-0.5852) time: 0.5374 data: 0.0004
[11-24 18:31:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:11:03 tlr: 0.00012 tnm: 0.40 Lm: 6.753 (6.753) Lt: 6.050 (6.050) Accm: 2.82 (2.82) Acct: 4.57 (4.57) proj_loss: -0.5836 (-0.5836) time: 0.5374 data: 0.0003
[11-24 18:35:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.38 Lm: 6.754 (6.766) Lt: 6.053 (6.051) Accm: 2.79 (2.74) Acct: 4.56 (4.31) proj_loss: -0.5822 (-0.5828) time: 0.4879 data: 0.0003
[11-24 18:35:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.38 Lm: 6.582 (6.575) Lt: 5.803 (5.823) Accm: 3.32 (3.29) Acct: 4.82 (4.98) proj_loss: -0.5917 (-0.5890) time: 0.4879 data: 0.0003
[11-24 18:35:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.38 Lm: 6.696 (6.708) Lt: 5.992 (6.000) Accm: 2.77 (2.82) Acct: 4.36 (4.45) proj_loss: -0.5973 (-0.5959) time: 0.4879 data: 0.0003
[11-24 18:35:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.38 Lm: 6.738 (6.739) Lt: 5.998 (6.013) Accm: 2.67 (2.70) Acct: 4.24 (4.40) proj_loss: -0.5787 (-0.5773) time: 0.4879 data: 0.0003
[11-24 18:38:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.40 Lm: 6.720 (6.687) Lt: 5.997 (5.960) Accm: 2.75 (2.89) Acct: 4.49 (4.62) proj_loss: -0.5852 (-0.5832) time: 0.4873 data: 0.0003
[11-24 18:38:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.40 Lm: 6.669 (6.672) Lt: 5.929 (5.961) Accm: 2.99 (2.92) Acct: 4.61 (4.56) proj_loss: -0.5956 (-0.5954) time: 0.4873 data: 0.0002
[11-24 18:38:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.40 Lm: 6.753 (6.679) Lt: 6.034 (5.949) Accm: 2.82 (2.94) Acct: 4.57 (4.64) proj_loss: -0.5836 (-0.5853) time: 0.4873 data: 0.0003
[11-24 18:38:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.40 Lm: 6.597 (6.584) Lt: 5.856 (5.845) Accm: 3.22 (3.24) Acct: 4.84 (4.95) proj_loss: -0.5918 (-0.5914) time: 0.4873 data: 0.0003
[11-24 18:41:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.37 Lm: 6.582 (6.575) Lt: 5.803 (5.822) Accm: 3.31 (3.26) Acct: 4.86 (5.08) proj_loss: -0.5919 (-0.5933) time: 0.4898 data: 0.0014
[11-24 18:41:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:13:57 (0.502 s / it)
[11-24 18:41:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.37 Lm: 6.751 (6.679) Lt: 6.015 (5.950) Accm: 2.79 (2.87) Acct: 4.56 (4.59) proj_loss: -0.5850 (-0.5868) time: 0.4898 data: 0.0019
[11-24 18:41:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.37 Lm: 6.642 (6.635) Lt: 5.865 (5.908) Accm: 3.21 (3.02) Acct: 4.87 (4.72) proj_loss: -0.5938 (-0.5942) time: 0.4898 data: 0.0016
[11-24 18:41:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.37 Lm: 6.702 (6.687) Lt: 5.996 (5.960) Accm: 2.84 (2.90) Acct: 4.67 (4.63) proj_loss: -0.5917 (-0.5867) time: 0.4898 data: 0.0018
[11-24 18:41:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:13:57 (0.502 s / it)
[11-24 18:41:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:13:57 (0.502 s / it)
[11-24 18:41:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:13:57 (0.502 s / it)
[11-24 18:41:57] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.630 (6.634), Lt: 5.889 (5.900), Acc m&t: 3.05 4.81, Remain: 1 day, 13:37:42, Finish: 2024-11-25 16:19
[11-24 18:41:57] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.630 (6.634), Lt: 5.889 (5.900), Acc m&t: 3.05 4.81, Remain: 1 day, 13:39:05, Finish: 2024-11-25 16:21
[11-24 18:41:57] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.630 (6.634), Lt: 5.889 (5.900), Acc m&t: 3.05 4.81, Remain: 1 day, 13:37:46, Finish: 2024-11-25 16:19
[11-24 18:41:57] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.630 (6.634), Lt: 5.889 (5.900), Acc m&t: 3.05 4.81, Remain: 1 day, 13:38:23, Finish: 2024-11-25 16:20
[11-24 18:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:13:12 tlr: 0.00012 tnm: 0.38 Lm: 6.644 (6.644) Lt: 5.869 (5.869) Accm: 2.97 (2.97) Acct: 4.65 (4.65) proj_loss: -0.5894 (-0.5894) time: 0.4746 data: 0.0004
[11-24 18:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:13:13 tlr: 0.00012 tnm: 0.38 Lm: 6.741 (6.741) Lt: 5.948 (5.948) Accm: 2.78 (2.78) Acct: 4.61 (4.61) proj_loss: -0.5775 (-0.5775) time: 0.4751 data: 0.0004
[11-24 18:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:13:13 tlr: 0.00012 tnm: 0.38 Lm: 6.742 (6.742) Lt: 6.008 (6.008) Accm: 2.57 (2.57) Acct: 3.86 (3.86) proj_loss: -0.6000 (-0.6000) time: 0.4754 data: 0.0004
[11-24 18:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:13:13 tlr: 0.00012 tnm: 0.38 Lm: 6.614 (6.614) Lt: 5.875 (5.875) Accm: 3.14 (3.14) Acct: 4.98 (4.98) proj_loss: -0.5942 (-0.5942) time: 0.4757 data: 0.0004
[11-24 18:45:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.37 Lm: 6.660 (6.660) Lt: 5.932 (5.932) Accm: 2.99 (2.99) Acct: 4.88 (4.88) proj_loss: -0.5900 (-0.5900) time: 0.4870 data: 0.0003
[11-24 18:45:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.37 Lm: 6.637 (6.637) Lt: 5.854 (5.854) Accm: 2.96 (2.96) Acct: 4.69 (4.69) proj_loss: -0.5924 (-0.5924) time: 0.4870 data: 0.0003
[11-24 18:45:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.37 Lm: 6.632 (6.632) Lt: 5.875 (5.875) Accm: 3.09 (3.09) Acct: 4.91 (4.91) proj_loss: -0.5907 (-0.5907) time: 0.4870 data: 0.0003
[11-24 18:45:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:10:10 tlr: 0.00012 tnm: 0.37 Lm: 6.791 (6.791) Lt: 6.081 (6.081) Accm: 2.60 (2.60) Acct: 3.93 (3.93) proj_loss: -0.5917 (-0.5917) time: 0.4870 data: 0.0003
[11-24 18:48:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:07:00 tlr: 0.00012 tnm: 0.38 Lm: 6.742 (6.691) Lt: 6.008 (5.967) Accm: 2.62 (2.99) Acct: 4.01 (4.61) proj_loss: -0.6000 (-0.5995) time: 0.5393 data: 0.0003
[11-24 18:48:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:07:00 tlr: 0.00012 tnm: 0.38 Lm: 6.634 (6.636) Lt: 5.869 (5.877) Accm: 2.97 (2.98) Acct: 4.65 (4.64) proj_loss: -0.5955 (-0.5979) time: 0.5392 data: 0.0003
[11-24 18:48:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:07:00 tlr: 0.00012 tnm: 0.38 Lm: 6.604 (6.623) Lt: 5.873 (5.874) Accm: 3.21 (3.13) Acct: 4.98 (4.93) proj_loss: -0.6040 (-0.5970) time: 0.5392 data: 0.0003
[11-24 18:48:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:07:00 tlr: 0.00012 tnm: 0.38 Lm: 6.614 (6.620) Lt: 5.875 (5.886) Accm: 3.14 (3.08) Acct: 4.87 (4.88) proj_loss: -0.5859 (-0.5885) time: 0.5392 data: 0.0003
[11-24 18:52:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:03:33 tlr: 0.00012 tnm: 0.38 Lm: 6.634 (6.628) Lt: 5.914 (5.903) Accm: 2.99 (2.99) Acct: 4.83 (4.70) proj_loss: -0.5900 (-0.5928) time: 0.4893 data: 0.0003
[11-24 18:52:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:03:33 tlr: 0.00012 tnm: 0.38 Lm: 6.610 (6.621) Lt: 5.880 (5.878) Accm: 2.99 (3.02) Acct: 4.80 (4.73) proj_loss: -0.6067 (-0.6002) time: 0.4893 data: 0.0003
[11-24 18:52:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:03:33 tlr: 0.00012 tnm: 0.38 Lm: 6.682 (6.674) Lt: 5.940 (5.943) Accm: 2.82 (3.00) Acct: 4.33 (4.62) proj_loss: -0.6018 (-0.6005) time: 0.4893 data: 0.0003
[11-24 18:52:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:03:33 tlr: 0.00012 tnm: 0.38 Lm: 6.639 (6.654) Lt: 5.896 (5.895) Accm: 2.96 (2.92) Acct: 4.59 (4.56) proj_loss: -0.5924 (-0.5956) time: 0.4893 data: 0.0003
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.634 (6.613) Lt: 5.869 (5.858) Accm: 2.97 (3.04) Acct: 4.65 (4.79) proj_loss: -0.5955 (-0.5963) time: 0.4901 data: 0.0023
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:14:08 (0.508 s / it)
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.604 (6.601) Lt: 5.873 (5.845) Accm: 3.21 (3.09) Acct: 4.98 (4.88) proj_loss: -0.6040 (-0.5931) time: 0.4901 data: 0.0015
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.622 (6.649) Lt: 5.871 (5.911) Accm: 3.02 (3.03) Acct: 4.65 (4.71) proj_loss: -0.6000 (-0.5943) time: 0.4901 data: 0.0016
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.646 (6.632) Lt: 5.889 (5.900) Accm: 3.14 (3.03) Acct: 4.87 (4.76) proj_loss: -0.5942 (-0.5955) time: 0.4901 data: 0.0017
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:14:08 (0.508 s / it)
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:14:08 (0.508 s / it)
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:14:08 (0.508 s / it)
[11-24 18:56:06] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.630 (6.637), Lt: 5.889 (5.899), Acc m&t: 3.05 4.81, Remain: 1 day, 13:27:13, Finish: 2024-11-25 16:23
[11-24 18:56:06] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.630 (6.637), Lt: 5.889 (5.899), Acc m&t: 3.05 4.81, Remain: 1 day, 13:27:51, Finish: 2024-11-25 16:23
[11-24 18:56:06] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.630 (6.637), Lt: 5.889 (5.899), Acc m&t: 3.05 4.81, Remain: 1 day, 13:27:15, Finish: 2024-11-25 16:23
[11-24 18:56:06] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.630 (6.637), Lt: 5.889 (5.899), Acc m&t: 3.05 4.81, Remain: 1 day, 13:27:32, Finish: 2024-11-25 16:23
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:12:59 tlr: 0.00012 tnm: 0.38 Lm: 6.647 (6.647) Lt: 5.961 (5.961) Accm: 2.90 (2.90) Acct: 4.39 (4.39) proj_loss: -0.5942 (-0.5942) time: 0.4673 data: 0.0003
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:13:01 tlr: 0.00012 tnm: 0.38 Lm: 6.760 (6.760) Lt: 6.075 (6.075) Accm: 2.68 (2.68) Acct: 4.22 (4.22) proj_loss: -0.5979 (-0.5979) time: 0.4680 data: 0.0003
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:13:01 tlr: 0.00012 tnm: 0.38 Lm: 6.588 (6.588) Lt: 5.799 (5.799) Accm: 3.29 (3.29) Acct: 5.18 (5.18) proj_loss: -0.5928 (-0.5928) time: 0.4680 data: 0.0004
[11-24 18:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:13:01 tlr: 0.00012 tnm: 0.38 Lm: 6.643 (6.643) Lt: 5.845 (5.845) Accm: 3.08 (3.08) Acct: 4.98 (4.98) proj_loss: -0.5907 (-0.5907) time: 0.4681 data: 0.0003
[11-24 18:59:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:10:11 tlr: 0.00012 tnm: 0.37 Lm: 6.683 (6.683) Lt: 5.917 (5.917) Accm: 2.87 (2.87) Acct: 4.50 (4.50) proj_loss: -0.5790 (-0.5790) time: 0.4874 data: 0.0003
[11-24 18:59:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:10:11 tlr: 0.00012 tnm: 0.37 Lm: 6.647 (6.647) Lt: 5.907 (5.907) Accm: 2.96 (2.96) Acct: 4.86 (4.86) proj_loss: -0.5859 (-0.5859) time: 0.4874 data: 0.0003
[11-24 18:59:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:10:11 tlr: 0.00012 tnm: 0.37 Lm: 6.572 (6.572) Lt: 5.804 (5.804) Accm: 3.27 (3.27) Acct: 5.01 (5.01) proj_loss: -0.5957 (-0.5957) time: 0.4874 data: 0.0003
[11-24 18:59:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:10:11 tlr: 0.00012 tnm: 0.37 Lm: 6.589 (6.589) Lt: 5.869 (5.869) Accm: 3.18 (3.18) Acct: 4.92 (4.92) proj_loss: -0.5916 (-0.5916) time: 0.4874 data: 0.0003
[11-24 19:02:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:06:47 tlr: 0.00012 tnm: 0.40 Lm: 6.550 (6.576) Lt: 5.776 (5.803) Accm: 3.21 (3.19) Acct: 5.44 (5.09) proj_loss: -0.5889 (-0.5862) time: 0.4950 data: 0.0003
[11-24 19:02:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:06:47 tlr: 0.00012 tnm: 0.40 Lm: 6.588 (6.588) Lt: 5.808 (5.848) Accm: 3.26 (3.13) Acct: 4.84 (4.83) proj_loss: -0.5928 (-0.5939) time: 0.4950 data: 0.0003
[11-24 19:02:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:06:47 tlr: 0.00012 tnm: 0.40 Lm: 6.664 (6.652) Lt: 5.873 (5.896) Accm: 3.23 (3.05) Acct: 5.17 (4.96) proj_loss: -0.5803 (-0.5841) time: 0.4950 data: 0.0002
[11-24 19:02:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.40 Lm: 6.722 (6.711) Lt: 5.989 (5.958) Accm: 2.67 (2.80) Acct: 4.06 (4.36) proj_loss: -0.5737 (-0.5772) time: 0.4950 data: 0.0003
[11-24 19:06:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:03:25 tlr: 0.00012 tnm: 0.38 Lm: 6.685 (6.695) Lt: 5.947 (5.944) Accm: 2.88 (2.89) Acct: 4.52 (4.55) proj_loss: -0.5822 (-0.5821) time: 0.4884 data: 0.0003
[11-24 19:06:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:03:25 tlr: 0.00012 tnm: 0.38 Lm: 6.677 (6.662) Lt: 5.922 (5.915) Accm: 2.99 (2.98) Acct: 4.82 (4.84) proj_loss: -0.5846 (-0.5853) time: 0.4884 data: 0.0003
[11-24 19:06:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:03:25 tlr: 0.00012 tnm: 0.38 Lm: 6.599 (6.599) Lt: 5.869 (5.850) Accm: 3.05 (3.04) Acct: 4.92 (4.78) proj_loss: -0.5916 (-0.5898) time: 0.4883 data: 0.0003
[11-24 19:06:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:03:25 tlr: 0.00012 tnm: 0.38 Lm: 6.589 (6.588) Lt: 5.826 (5.847) Accm: 3.17 (3.12) Acct: 4.75 (4.79) proj_loss: -0.5935 (-0.5940) time: 0.4884 data: 0.0003
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.38 Lm: 6.588 (6.563) Lt: 5.808 (5.824) Accm: 3.26 (3.22) Acct: 4.84 (4.89) proj_loss: -0.5941 (-0.5945) time: 0.4902 data: 0.0017
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:13:47 (0.496 s / it)
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.38 Lm: 6.690 (6.702) Lt: 5.971 (5.976) Accm: 2.75 (2.86) Acct: 4.48 (4.64) proj_loss: -0.5888 (-0.5898) time: 0.4902 data: 0.0016
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.38 Lm: 6.608 (6.601) Lt: 5.830 (5.846) Accm: 3.21 (3.09) Acct: 5.37 (4.90) proj_loss: -0.5942 (-0.5938) time: 0.4902 data: 0.0013
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.38 Lm: 6.722 (6.706) Lt: 5.989 (5.957) Accm: 2.69 (2.85) Acct: 4.30 (4.50) proj_loss: -0.5737 (-0.5802) time: 0.4902 data: 0.0021
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:13:47 (0.496 s / it)
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:13:47 (0.496 s / it)
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:13:47 (0.496 s / it)
[11-24 19:09:54] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.622 (6.622), Lt: 5.886 (5.886), Acc m&t: 3.05 4.81, Remain: 1 day, 13:11:27, Finish: 2024-11-25 16:21
[11-24 19:09:54] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.622 (6.622), Lt: 5.886 (5.886), Acc m&t: 3.05 4.81, Remain: 1 day, 13:11:51, Finish: 2024-11-25 16:21
[11-24 19:09:54] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.622 (6.622), Lt: 5.886 (5.886), Acc m&t: 3.05 4.81, Remain: 1 day, 13:12:26, Finish: 2024-11-25 16:22
[11-24 19:09:54] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.622 (6.622), Lt: 5.886 (5.886), Acc m&t: 3.05 4.81, Remain: 1 day, 13:11:24, Finish: 2024-11-25 16:21
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:12:50 tlr: 0.00012 tnm: 0.38 Lm: 6.608 (6.608) Lt: 5.833 (5.833) Accm: 2.85 (2.85) Acct: 4.51 (4.51) proj_loss: -0.6069 (-0.6069) time: 0.4616 data: 0.0003
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:12:51 tlr: 0.00012 tnm: 0.38 Lm: 6.690 (6.690) Lt: 5.964 (5.964) Accm: 2.73 (2.73) Acct: 4.37 (4.37) proj_loss: -0.5923 (-0.5923) time: 0.4622 data: 0.0004
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:13:00 tlr: 0.00012 tnm: 0.38 Lm: 6.570 (6.570) Lt: 5.867 (5.867) Accm: 3.11 (3.11) Acct: 5.18 (5.18) proj_loss: -0.5989 (-0.5989) time: 0.4676 data: 0.0004
[11-24 19:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:13:00 tlr: 0.00012 tnm: 0.38 Lm: 6.683 (6.683) Lt: 5.928 (5.928) Accm: 2.99 (2.99) Acct: 4.60 (4.60) proj_loss: -0.5768 (-0.5768) time: 0.4676 data: 0.0004
[11-24 19:13:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:11:18 tlr: 0.00012 tnm: 0.38 Lm: 6.683 (6.683) Lt: 5.925 (5.925) Accm: 2.89 (2.89) Acct: 4.67 (4.67) proj_loss: -0.5920 (-0.5920) time: 0.5481 data: 0.0003
[11-24 19:13:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:11:18 tlr: 0.00012 tnm: 0.38 Lm: 6.672 (6.672) Lt: 5.985 (5.985) Accm: 2.78 (2.78) Acct: 4.58 (4.58) proj_loss: -0.6021 (-0.6021) time: 0.5481 data: 0.0003
[11-24 19:13:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:11:18 tlr: 0.00012 tnm: 0.38 Lm: 6.564 (6.564) Lt: 5.806 (5.806) Accm: 3.08 (3.08) Acct: 4.84 (4.84) proj_loss: -0.6063 (-0.6063) time: 0.5481 data: 0.0003
[11-24 19:13:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:11:18 tlr: 0.00012 tnm: 0.38 Lm: 6.599 (6.599) Lt: 5.874 (5.874) Accm: 3.01 (3.01) Acct: 4.64 (4.64) proj_loss: -0.5903 (-0.5903) time: 0.5482 data: 0.0003
[11-24 19:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.39 Lm: 6.690 (6.668) Lt: 5.964 (5.946) Accm: 2.73 (2.91) Acct: 4.53 (4.60) proj_loss: -0.5884 (-0.5852) time: 0.4837 data: 0.0003
[11-24 19:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.39 Lm: 6.679 (6.674) Lt: 5.896 (5.955) Accm: 3.05 (2.87) Acct: 4.92 (4.69) proj_loss: -0.5989 (-0.5996) time: 0.4836 data: 0.0002
[11-24 19:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.39 Lm: 6.684 (6.724) Lt: 5.928 (5.972) Accm: 2.78 (2.85) Acct: 4.61 (4.65) proj_loss: -0.5806 (-0.5882) time: 0.4837 data: 0.0003
[11-24 19:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.39 Lm: 6.608 (6.613) Lt: 5.833 (5.865) Accm: 2.85 (2.96) Acct: 4.51 (4.61) proj_loss: -0.6056 (-0.6042) time: 0.4837 data: 0.0003
[11-24 19:20:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.38 Lm: 6.660 (6.647) Lt: 5.908 (5.905) Accm: 2.86 (2.94) Acct: 4.52 (4.59) proj_loss: -0.6035 (-0.6035) time: 0.4843 data: 0.0003
[11-24 19:20:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.38 Lm: 6.625 (6.640) Lt: 5.881 (5.914) Accm: 3.07 (2.93) Acct: 4.84 (4.71) proj_loss: -0.5968 (-0.5951) time: 0.4843 data: 0.0003
[11-24 19:20:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.38 Lm: 6.683 (6.704) Lt: 5.936 (5.965) Accm: 2.89 (2.93) Acct: 4.67 (4.73) proj_loss: -0.5787 (-0.5852) time: 0.4843 data: 0.0003
[11-24 19:20:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:03:31 tlr: 0.00012 tnm: 0.38 Lm: 6.678 (6.668) Lt: 5.940 (5.939) Accm: 2.94 (2.97) Acct: 4.72 (4.76) proj_loss: -0.5889 (-0.5863) time: 0.4843 data: 0.0003
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.37 Lm: 6.665 (6.653) Lt: 5.917 (5.929) Accm: 3.04 (2.98) Acct: 4.82 (4.77) proj_loss: -0.5884 (-0.5861) time: 0.4918 data: 0.0017
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:13:59 (0.503 s / it)
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.37 Lm: 6.683 (6.686) Lt: 5.941 (5.960) Accm: 2.99 (3.00) Acct: 4.73 (4.78) proj_loss: -0.5806 (-0.5848) time: 0.4918 data: 0.0017
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.37 Lm: 6.679 (6.653) Lt: 5.896 (5.931) Accm: 3.05 (2.89) Acct: 4.75 (4.61) proj_loss: -0.5962 (-0.5953) time: 0.4918 data: 0.0016
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.37 Lm: 6.608 (6.633) Lt: 5.833 (5.888) Accm: 2.86 (3.02) Acct: 4.53 (4.70) proj_loss: -0.6014 (-0.6017) time: 0.4918 data: 0.0018
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:13:59 (0.503 s / it)
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:13:59 (0.503 s / it)
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:13:59 (0.503 s / it)
[11-24 19:23:53] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.622 (6.635), Lt: 5.886 (5.897), Acc m&t: 3.05 4.81, Remain: 1 day, 13:04:00, Finish: 2024-11-25 16:27
[11-24 19:23:53] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.622 (6.635), Lt: 5.886 (5.897), Acc m&t: 3.05 4.81, Remain: 1 day, 13:03:00, Finish: 2024-11-25 16:26
[11-24 19:23:53] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.622 (6.635), Lt: 5.886 (5.897), Acc m&t: 3.05 4.81, Remain: 1 day, 13:02:26, Finish: 2024-11-25 16:26
[11-24 19:23:53] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.622 (6.635), Lt: 5.886 (5.897), Acc m&t: 3.05 4.81, Remain: 1 day, 13:03:02, Finish: 2024-11-25 16:26
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:13:36 tlr: 0.00012 tnm: 0.39 Lm: 6.800 (6.800) Lt: 6.097 (6.097) Accm: 2.46 (2.46) Acct: 3.99 (3.99) proj_loss: -0.6012 (-0.6012) time: 0.4894 data: 0.0004
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:13:37 tlr: 0.00012 tnm: 0.39 Lm: 6.567 (6.567) Lt: 5.806 (5.806) Accm: 3.14 (3.14) Acct: 5.13 (5.13) proj_loss: -0.6116 (-0.6116) time: 0.4899 data: 0.0004
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:13:37 tlr: 0.00012 tnm: 0.39 Lm: 6.433 (6.433) Lt: 5.682 (5.682) Accm: 3.55 (3.55) Acct: 5.63 (5.63) proj_loss: -0.5980 (-0.5980) time: 0.4900 data: 0.0004
[11-24 19:23:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:13:38 tlr: 0.00012 tnm: 0.39 Lm: 6.649 (6.649) Lt: 5.931 (5.931) Accm: 2.75 (2.75) Acct: 4.30 (4.30) proj_loss: -0.6115 (-0.6115) time: 0.4903 data: 0.0003
[11-24 19:27:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.41 Lm: 6.637 (6.637) Lt: 5.908 (5.908) Accm: 3.06 (3.06) Acct: 4.72 (4.72) proj_loss: -0.6009 (-0.6009) time: 0.4876 data: 0.0003
[11-24 19:27:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.41 Lm: 6.706 (6.706) Lt: 5.969 (5.969) Accm: 2.89 (2.89) Acct: 4.62 (4.62) proj_loss: -0.5927 (-0.5927) time: 0.4876 data: 0.0003
[11-24 19:27:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.41 Lm: 6.748 (6.748) Lt: 6.030 (6.030) Accm: 2.62 (2.62) Acct: 4.24 (4.24) proj_loss: -0.6030 (-0.6030) time: 0.4876 data: 0.0003
[11-24 19:27:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.41 Lm: 6.532 (6.532) Lt: 5.786 (5.786) Accm: 3.35 (3.35) Acct: 5.27 (5.27) proj_loss: -0.5987 (-0.5987) time: 0.4876 data: 0.0003
[11-24 19:31:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.37 Lm: 6.630 (6.580) Lt: 5.889 (5.832) Accm: 3.15 (3.23) Acct: 4.91 (5.07) proj_loss: -0.5980 (-0.5882) time: 0.5417 data: 0.0003
[11-24 19:31:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.37 Lm: 6.697 (6.704) Lt: 5.962 (5.972) Accm: 2.78 (2.70) Acct: 4.49 (4.34) proj_loss: -0.6048 (-0.6054) time: 0.5417 data: 0.0003
[11-24 19:31:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.37 Lm: 6.657 (6.690) Lt: 5.886 (5.941) Accm: 3.14 (2.99) Acct: 5.13 (4.86) proj_loss: -0.5998 (-0.5951) time: 0.5417 data: 0.0003
[11-24 19:31:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:07:10 tlr: 0.00012 tnm: 0.37 Lm: 6.649 (6.670) Lt: 5.931 (5.941) Accm: 2.75 (2.93) Acct: 4.30 (4.56) proj_loss: -0.5902 (-0.5970) time: 0.5417 data: 0.0003
[11-24 19:34:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:03:34 tlr: 0.00012 tnm: 0.39 Lm: 6.690 (6.685) Lt: 5.969 (5.958) Accm: 2.86 (2.94) Acct: 4.32 (4.51) proj_loss: -0.5897 (-0.5912) time: 0.4917 data: 0.0003
[11-24 19:34:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:03:34 tlr: 0.00012 tnm: 0.39 Lm: 6.715 (6.711) Lt: 5.966 (5.967) Accm: 2.89 (2.88) Acct: 4.62 (4.63) proj_loss: -0.5990 (-0.5959) time: 0.4917 data: 0.0003
[11-24 19:34:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:03:34 tlr: 0.00012 tnm: 0.39 Lm: 6.605 (6.580) Lt: 5.849 (5.826) Accm: 3.07 (3.17) Acct: 4.81 (4.98) proj_loss: -0.5879 (-0.5856) time: 0.4917 data: 0.0003
[11-24 19:34:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:03:34 tlr: 0.00012 tnm: 0.39 Lm: 6.724 (6.716) Lt: 5.988 (5.983) Accm: 2.82 (2.76) Acct: 4.51 (4.39) proj_loss: -0.6030 (-0.6017) time: 0.4917 data: 0.0003
[11-24 19:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.717 (6.716) Lt: 6.014 (5.992) Accm: 2.78 (2.77) Acct: 4.49 (4.35) proj_loss: -0.6048 (-0.6076) time: 0.4933 data: 0.0015
[11-24 19:38:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:14:09 (0.509 s / it)
[11-24 19:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.606 (6.585) Lt: 5.877 (5.836) Accm: 3.12 (3.16) Acct: 4.86 (4.96) proj_loss: -0.5980 (-0.5890) time: 0.4933 data: 0.0020
[11-24 19:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.696 (6.708) Lt: 5.946 (5.963) Accm: 2.79 (2.86) Acct: 4.87 (4.68) proj_loss: -0.5983 (-0.5955) time: 0.4933 data: 0.0018
[11-24 19:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.649 (6.665) Lt: 5.931 (5.946) Accm: 2.96 (3.00) Acct: 4.34 (4.68) proj_loss: -0.5902 (-0.5942) time: 0.4933 data: 0.0018
[11-24 19:38:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:14:09 (0.509 s / it)
[11-24 19:38:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:14:09 (0.509 s / it)
[11-24 19:38:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:14:09 (0.509 s / it)
[11-24 19:40:13] (home/user/VAR/trainer.py, line 114)=> FID: 3.818658187811934
[11-24 19:40:14] (/home/user/VAR/train.py , line 259)=> [*] [ep189] (val 50000) Lm: 6.6276, Lt: 5.8925, Acc m&t: 3.05 4.80, Val cost: 130.79s
[11-24 19:40:14] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 19:40:40] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.622 (6.628), Lt: 5.886 (5.892), Acc m&t: 3.05 4.81, Remain: 1 day, 12:52:58, Finish: 2024-11-25 16:31
[11-24 19:40:40] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.622 (6.628), Lt: 5.886 (5.892), Acc m&t: 3.05 4.81, Remain: 1 day, 12:52:48, Finish: 2024-11-25 16:30
[11-24 19:40:40] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.622 (6.628), Lt: 5.886 (5.892), Acc m&t: 3.05 4.81, Remain: 1 day, 12:52:47, Finish: 2024-11-25 16:30
[11-24 19:40:40] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.622 (6.628), Lt: 5.886 (5.892), Acc m&t: 3.05 4.81, Remain: 1 day, 12:52:30, Finish: 2024-11-25 16:30
[11-24 19:40:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:13:09 tlr: 0.00012 tnm: 0.40 Lm: 6.564 (6.564) Lt: 5.887 (5.887) Accm: 2.80 (2.80) Acct: 4.48 (4.48) proj_loss: -0.6027 (-0.6027) time: 0.4730 data: 0.0004
[11-24 19:40:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:13:20 tlr: 0.00012 tnm: 0.40 Lm: 6.607 (6.607) Lt: 5.873 (5.873) Accm: 3.07 (3.07) Acct: 4.60 (4.60) proj_loss: -0.6125 (-0.6125) time: 0.4794 data: 0.0004
[11-24 19:40:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:13:21 tlr: 0.00012 tnm: 0.40 Lm: 6.663 (6.663) Lt: 5.941 (5.941) Accm: 2.81 (2.81) Acct: 4.46 (4.46) proj_loss: -0.5996 (-0.5996) time: 0.4802 data: 0.0003
[11-24 19:40:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:13:10 tlr: 0.00012 tnm: 0.40 Lm: 6.559 (6.559) Lt: 5.802 (5.802) Accm: 3.58 (3.58) Acct: 5.54 (5.54) proj_loss: -0.5758 (-0.5758) time: 0.4735 data: 0.0004
[11-24 19:44:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:10:13 tlr: 0.00012 tnm: 0.40 Lm: 6.692 (6.692) Lt: 5.975 (5.975) Accm: 2.79 (2.79) Acct: 4.38 (4.38) proj_loss: -0.6033 (-0.6033) time: 0.4917 data: 0.0002
[11-24 19:44:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:10:13 tlr: 0.00012 tnm: 0.40 Lm: 6.590 (6.590) Lt: 5.865 (5.865) Accm: 3.08 (3.08) Acct: 4.66 (4.66) proj_loss: -0.6088 (-0.6088) time: 0.4917 data: 0.0003
[11-24 19:44:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:10:13 tlr: 0.00012 tnm: 0.40 Lm: 6.542 (6.542) Lt: 5.796 (5.796) Accm: 3.27 (3.27) Acct: 5.11 (5.11) proj_loss: -0.5934 (-0.5934) time: 0.4917 data: 0.0003
[11-24 19:44:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.40 Lm: 6.578 (6.578) Lt: 5.815 (5.815) Accm: 3.44 (3.44) Acct: 5.37 (5.37) proj_loss: -0.5952 (-0.5952) time: 0.4918 data: 0.0003
[11-24 19:47:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.38 Lm: 6.596 (6.647) Lt: 5.829 (5.892) Accm: 3.29 (3.27) Acct: 5.20 (5.13) proj_loss: -0.5826 (-0.5910) time: 0.4911 data: 0.0003
[11-24 19:47:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.38 Lm: 6.564 (6.594) Lt: 5.887 (5.851) Accm: 3.13 (3.22) Acct: 4.91 (5.04) proj_loss: -0.5911 (-0.5926) time: 0.4911 data: 0.0003
[11-24 19:47:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.38 Lm: 6.720 (6.704) Lt: 5.975 (5.975) Accm: 2.81 (2.81) Acct: 4.46 (4.44) proj_loss: -0.5996 (-0.5994) time: 0.4911 data: 0.0003
[11-24 19:47:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.38 Lm: 6.607 (6.623) Lt: 5.873 (5.902) Accm: 3.07 (3.00) Acct: 4.60 (4.48) proj_loss: -0.6052 (-0.6060) time: 0.4911 data: 0.0003
[11-24 19:50:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:03:26 tlr: 0.00012 tnm: 0.40 Lm: 6.598 (6.614) Lt: 5.875 (5.896) Accm: 3.08 (3.04) Acct: 4.66 (4.58) proj_loss: -0.6070 (-0.6067) time: 0.4915 data: 0.0003
[11-24 19:50:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:03:26 tlr: 0.00012 tnm: 0.40 Lm: 6.631 (6.624) Lt: 5.924 (5.886) Accm: 3.02 (3.14) Acct: 4.72 (4.92) proj_loss: -0.5969 (-0.5952) time: 0.4915 data: 0.0003
[11-24 19:50:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:03:26 tlr: 0.00012 tnm: 0.40 Lm: 6.710 (6.702) Lt: 5.970 (5.973) Accm: 2.83 (2.83) Acct: 4.51 (4.54) proj_loss: -0.5955 (-0.5928) time: 0.4915 data: 0.0003
[11-24 19:50:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:03:26 tlr: 0.00012 tnm: 0.40 Lm: 6.617 (6.644) Lt: 5.895 (5.909) Accm: 3.11 (3.16) Acct: 4.92 (4.96) proj_loss: -0.5984 (-0.5968) time: 0.4915 data: 0.0003
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.596 (6.620) Lt: 5.829 (5.873) Accm: 3.24 (3.18) Acct: 5.17 (5.00) proj_loss: -0.5925 (-0.5959) time: 0.4960 data: 0.0021
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:13:58 (0.502 s / it)
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.603 (6.612) Lt: 5.876 (5.892) Accm: 3.09 (3.09) Acct: 4.72 (4.68) proj_loss: -0.6052 (-0.6028) time: 0.4960 data: 0.0017
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.699 (6.701) Lt: 5.975 (5.979) Accm: 2.81 (2.82) Acct: 4.46 (4.47) proj_loss: -0.5959 (-0.5935) time: 0.4961 data: 0.0013
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.626 (6.624) Lt: 5.887 (5.880) Accm: 3.01 (3.11) Acct: 4.91 (4.96) proj_loss: -0.5911 (-0.5925) time: 0.4961 data: 0.0017
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:13:58 (0.502 s / it)
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:13:58 (0.502 s / it)
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:13:58 (0.502 s / it)
[11-24 19:54:38] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.622 (6.629), Lt: 5.886 (5.890), Acc m&t: 3.05 4.81, Remain: 1 day, 12:40:35, Finish: 2024-11-25 16:35
[11-24 19:54:38] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.622 (6.629), Lt: 5.886 (5.890), Acc m&t: 3.05 4.81, Remain: 1 day, 12:40:56, Finish: 2024-11-25 16:35
[11-24 19:54:38] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.622 (6.629), Lt: 5.886 (5.890), Acc m&t: 3.05 4.81, Remain: 1 day, 12:41:03, Finish: 2024-11-25 16:35
[11-24 19:54:38] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.622 (6.629), Lt: 5.886 (5.890), Acc m&t: 3.05 4.81, Remain: 1 day, 12:39:48, Finish: 2024-11-25 16:34
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:13:13 tlr: 0.00012 tnm: 0.38 Lm: 6.742 (6.742) Lt: 6.003 (6.003) Accm: 2.99 (2.99) Acct: 5.01 (5.01) proj_loss: -0.5792 (-0.5792) time: 0.4753 data: 0.0004
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:12:51 tlr: 0.00012 tnm: 0.38 Lm: 6.512 (6.512) Lt: 5.738 (5.738) Accm: 3.13 (3.13) Acct: 4.79 (4.79) proj_loss: -0.6127 (-0.6127) time: 0.4620 data: 0.0004
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:12:51 tlr: 0.00012 tnm: 0.38 Lm: 6.500 (6.500) Lt: 5.776 (5.776) Accm: 3.34 (3.34) Acct: 5.35 (5.35) proj_loss: -0.5878 (-0.5878) time: 0.4624 data: 0.0004
[11-24 19:54:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:12:51 tlr: 0.00012 tnm: 0.38 Lm: 6.655 (6.655) Lt: 5.870 (5.870) Accm: 3.11 (3.11) Acct: 5.08 (5.08) proj_loss: -0.5887 (-0.5887) time: 0.4625 data: 0.0004
[11-24 19:58:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:10:49 tlr: 0.00012 tnm: 0.38 Lm: 6.638 (6.638) Lt: 5.881 (5.881) Accm: 3.11 (3.11) Acct: 4.93 (4.93) proj_loss: -0.5924 (-0.5924) time: 0.4892 data: 0.0003
[11-24 19:58:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:10:49 tlr: 0.00012 tnm: 0.38 Lm: 6.538 (6.538) Lt: 5.748 (5.748) Accm: 3.10 (3.10) Acct: 4.87 (4.87) proj_loss: -0.6004 (-0.6004) time: 0.4892 data: 0.0003
[11-24 19:58:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:10:49 tlr: 0.00012 tnm: 0.38 Lm: 6.601 (6.601) Lt: 5.890 (5.890) Accm: 3.13 (3.13) Acct: 4.89 (4.89) proj_loss: -0.5878 (-0.5878) time: 0.4892 data: 0.0003
[11-24 19:58:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:10:49 tlr: 0.00012 tnm: 0.38 Lm: 6.628 (6.628) Lt: 5.896 (5.896) Accm: 3.17 (3.17) Acct: 5.11 (5.11) proj_loss: -0.5910 (-0.5910) time: 0.4891 data: 0.0003
[11-24 20:01:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:07:00 tlr: 0.00012 tnm: 0.37 Lm: 6.655 (6.637) Lt: 5.890 (5.894) Accm: 3.05 (3.13) Acct: 5.01 (4.96) proj_loss: -0.5792 (-0.5852) time: 0.4873 data: 0.0002
[11-24 20:01:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:07:00 tlr: 0.00012 tnm: 0.37 Lm: 6.564 (6.574) Lt: 5.758 (5.807) Accm: 3.07 (3.04) Acct: 4.79 (4.82) proj_loss: -0.5882 (-0.5952) time: 0.4873 data: 0.0003
[11-24 20:01:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:07:00 tlr: 0.00012 tnm: 0.37 Lm: 6.621 (6.592) Lt: 5.870 (5.835) Accm: 3.11 (3.13) Acct: 5.01 (4.96) proj_loss: -0.5961 (-0.5975) time: 0.4873 data: 0.0003
[11-24 20:01:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:07:00 tlr: 0.00012 tnm: 0.37 Lm: 6.612 (6.605) Lt: 5.872 (5.884) Accm: 3.34 (3.20) Acct: 5.22 (5.00) proj_loss: -0.5878 (-0.5806) time: 0.4873 data: 0.0003
[11-24 20:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:03:28 tlr: 0.00012 tnm: 0.38 Lm: 6.657 (6.650) Lt: 5.937 (5.926) Accm: 3.13 (3.10) Acct: 4.82 (4.81) proj_loss: -0.5840 (-0.5805) time: 0.4895 data: 0.0003
[11-24 20:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:03:28 tlr: 0.00012 tnm: 0.38 Lm: 6.650 (6.639) Lt: 5.914 (5.905) Accm: 3.12 (3.15) Acct: 4.95 (4.95) proj_loss: -0.5856 (-0.5869) time: 0.4895 data: 0.0003
[11-24 20:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:03:28 tlr: 0.00012 tnm: 0.38 Lm: 6.573 (6.576) Lt: 5.785 (5.808) Accm: 3.10 (3.08) Acct: 4.84 (4.83) proj_loss: -0.5864 (-0.5910) time: 0.4895 data: 0.0003
[11-24 20:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:03:28 tlr: 0.00012 tnm: 0.38 Lm: 6.618 (6.598) Lt: 5.848 (5.833) Accm: 3.11 (3.08) Acct: 4.94 (4.94) proj_loss: -0.5924 (-0.5894) time: 0.4895 data: 0.0003
[11-24 20:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.621 (6.617) Lt: 5.870 (5.863) Accm: 3.11 (3.09) Acct: 4.87 (4.90) proj_loss: -0.5961 (-0.5921) time: 0.4892 data: 0.0019
[11-24 20:08:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:13:48 (0.496 s / it)
[11-24 20:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.612 (6.632) Lt: 5.872 (5.905) Accm: 3.16 (3.11) Acct: 4.61 (4.77) proj_loss: -0.5878 (-0.5848) time: 0.4892 data: 0.0017
[11-24 20:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.645 (6.626) Lt: 5.890 (5.884) Accm: 3.20 (3.18) Acct: 5.01 (5.09) proj_loss: -0.5921 (-0.5885) time: 0.4892 data: 0.0017
[11-24 20:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.564 (6.556) Lt: 5.758 (5.785) Accm: 3.13 (3.17) Acct: 4.89 (4.99) proj_loss: -0.5882 (-0.5910) time: 0.4892 data: 0.0015
[11-24 20:08:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:13:48 (0.496 s / it)
[11-24 20:08:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:13:48 (0.496 s / it)
[11-24 20:08:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:13:48 (0.496 s / it)
[11-24 20:08:26] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.622 (6.628), Lt: 5.886 (5.891), Acc m&t: 3.05 4.81, Remain: 1 day, 12:16:38, Finish: 2024-11-25 16:25
[11-24 20:08:26] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.622 (6.628), Lt: 5.886 (5.891), Acc m&t: 3.05 4.81, Remain: 1 day, 12:15:29, Finish: 2024-11-25 16:23
[11-24 20:08:26] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.622 (6.628), Lt: 5.886 (5.891), Acc m&t: 3.05 4.81, Remain: 1 day, 12:16:16, Finish: 2024-11-25 16:24
[11-24 20:08:26] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.622 (6.628), Lt: 5.886 (5.891), Acc m&t: 3.05 4.81, Remain: 1 day, 12:16:43, Finish: 2024-11-25 16:25
[11-24 20:08:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:13:08 tlr: 0.00012 tnm: 0.39 Lm: 6.549 (6.549) Lt: 5.824 (5.824) Accm: 3.19 (3.19) Acct: 4.72 (4.72) proj_loss: -0.5916 (-0.5916) time: 0.4725 data: 0.0004
[11-24 20:08:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:13:09 tlr: 0.00012 tnm: 0.39 Lm: 6.760 (6.760) Lt: 6.034 (6.034) Accm: 2.66 (2.66) Acct: 4.32 (4.32) proj_loss: -0.6145 (-0.6145) time: 0.4729 data: 0.0004
[11-24 20:08:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:13:09 tlr: 0.00012 tnm: 0.39 Lm: 6.693 (6.693) Lt: 6.048 (6.048) Accm: 2.24 (2.24) Acct: 3.27 (3.27) proj_loss: -0.5885 (-0.5885) time: 0.4728 data: 0.0003
[11-24 20:08:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:13:09 tlr: 0.00012 tnm: 0.39 Lm: 6.586 (6.586) Lt: 5.832 (5.832) Accm: 3.42 (3.42) Acct: 5.44 (5.44) proj_loss: -0.5908 (-0.5908) time: 0.4731 data: 0.0004
[11-24 20:11:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:10:25 tlr: 0.00012 tnm: 0.41 Lm: 6.570 (6.570) Lt: 5.824 (5.824) Accm: 3.34 (3.34) Acct: 5.30 (5.30) proj_loss: -0.5898 (-0.5898) time: 0.4877 data: 0.0003
[11-24 20:11:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:10:25 tlr: 0.00012 tnm: 0.41 Lm: 6.726 (6.726) Lt: 6.035 (6.035) Accm: 2.39 (2.39) Acct: 3.63 (3.63) proj_loss: -0.5905 (-0.5905) time: 0.4877 data: 0.0003
[11-24 20:11:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:10:25 tlr: 0.00012 tnm: 0.41 Lm: 6.611 (6.611) Lt: 5.899 (5.899) Accm: 3.03 (3.03) Acct: 4.82 (4.82) proj_loss: -0.5962 (-0.5962) time: 0.4877 data: 0.0003
[11-24 20:11:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:10:25 tlr: 0.00012 tnm: 0.41 Lm: 6.532 (6.532) Lt: 5.769 (5.769) Accm: 3.43 (3.43) Acct: 5.35 (5.35) proj_loss: -0.5982 (-0.5982) time: 0.4877 data: 0.0003
[11-24 20:15:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:07:15 tlr: 0.00012 tnm: 0.38 Lm: 6.518 (6.527) Lt: 5.802 (5.780) Accm: 3.42 (3.43) Acct: 5.22 (5.31) proj_loss: -0.6047 (-0.6067) time: 0.4902 data: 0.0003
[11-24 20:15:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:07:15 tlr: 0.00012 tnm: 0.38 Lm: 6.565 (6.568) Lt: 5.816 (5.818) Accm: 3.42 (3.37) Acct: 5.44 (5.39) proj_loss: -0.5908 (-0.5957) time: 0.4902 data: 0.0003
[11-24 20:15:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:07:15 tlr: 0.00012 tnm: 0.38 Lm: 6.693 (6.661) Lt: 6.022 (5.968) Accm: 2.55 (2.64) Acct: 3.99 (4.09) proj_loss: -0.5924 (-0.5952) time: 0.4902 data: 0.0003
[11-24 20:15:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:07:15 tlr: 0.00012 tnm: 0.38 Lm: 6.605 (6.609) Lt: 5.916 (5.905) Accm: 3.19 (3.08) Acct: 4.80 (4.82) proj_loss: -0.5973 (-0.5966) time: 0.4902 data: 0.0003
[11-24 20:19:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:03:36 tlr: 0.00012 tnm: 0.39 Lm: 6.609 (6.610) Lt: 5.895 (5.897) Accm: 3.15 (3.09) Acct: 4.92 (4.87) proj_loss: -0.5954 (-0.5958) time: 0.4909 data: 0.0003
[11-24 20:19:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:03:36 tlr: 0.00012 tnm: 0.39 Lm: 6.534 (6.549) Lt: 5.813 (5.805) Accm: 3.30 (3.34) Acct: 4.97 (5.14) proj_loss: -0.5982 (-0.6027) time: 0.4909 data: 0.0003
[11-24 20:19:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:03:36 tlr: 0.00012 tnm: 0.39 Lm: 6.575 (6.574) Lt: 5.822 (5.820) Accm: 3.34 (3.32) Acct: 5.30 (5.30) proj_loss: -0.5898 (-0.5911) time: 0.4909 data: 0.0003
[11-24 20:19:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:03:36 tlr: 0.00012 tnm: 0.39 Lm: 6.670 (6.658) Lt: 5.963 (5.952) Accm: 2.71 (2.70) Acct: 4.32 (4.23) proj_loss: -0.5905 (-0.5933) time: 0.4909 data: 0.0003
[11-24 20:22:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.648 (6.645) Lt: 5.904 (5.939) Accm: 2.88 (2.78) Acct: 4.65 (4.37) proj_loss: -0.5892 (-0.5924) time: 0.4886 data: 0.0015
[11-24 20:22:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:14:11 (0.510 s / it)
[11-24 20:22:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.586 (6.615) Lt: 5.828 (5.873) Accm: 3.26 (3.13) Acct: 5.17 (4.97) proj_loss: -0.5888 (-0.5901) time: 0.4886 data: 0.0015
[11-24 20:22:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.518 (6.521) Lt: 5.802 (5.760) Accm: 3.42 (3.41) Acct: 5.22 (5.26) proj_loss: -0.5916 (-0.5996) time: 0.4886 data: 0.0017
[11-24 20:22:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.39 Lm: 6.605 (6.600) Lt: 5.874 (5.890) Accm: 3.19 (3.14) Acct: 5.04 (4.93) proj_loss: -0.5936 (-0.5954) time: 0.4886 data: 0.0019
[11-24 20:22:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:14:11 (0.510 s / it)
[11-24 20:22:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:14:11 (0.510 s / it)
[11-24 20:22:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:14:11 (0.510 s / it)
[11-24 20:22:37] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.622 (6.632), Lt: 5.886 (5.900), Acc m&t: 3.05 4.81, Remain: 1 day, 12:02:22, Finish: 2024-11-25 16:25
[11-24 20:22:37] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.622 (6.632), Lt: 5.886 (5.900), Acc m&t: 3.05 4.81, Remain: 1 day, 12:02:05, Finish: 2024-11-25 16:24
[11-24 20:22:37] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.622 (6.632), Lt: 5.886 (5.900), Acc m&t: 3.05 4.81, Remain: 1 day, 12:01:59, Finish: 2024-11-25 16:24
[11-24 20:22:37] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.622 (6.632), Lt: 5.886 (5.900), Acc m&t: 3.05 4.81, Remain: 1 day, 12:02:37, Finish: 2024-11-25 16:25
[11-24 20:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:12:53 tlr: 0.00012 tnm: 0.39 Lm: 6.725 (6.725) Lt: 6.004 (6.004) Accm: 2.72 (2.72) Acct: 4.13 (4.13) proj_loss: -0.5904 (-0.5904) time: 0.4632 data: 0.0003
[11-24 20:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:12:54 tlr: 0.00012 tnm: 0.39 Lm: 6.749 (6.749) Lt: 5.991 (5.991) Accm: 2.90 (2.90) Acct: 4.27 (4.27) proj_loss: -0.5740 (-0.5740) time: 0.4638 data: 0.0003
[11-24 20:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:12:53 tlr: 0.00012 tnm: 0.39 Lm: 6.507 (6.507) Lt: 5.735 (5.735) Accm: 3.42 (3.42) Acct: 5.32 (5.32) proj_loss: -0.5847 (-0.5847) time: 0.4636 data: 0.0004
[11-24 20:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:12:54 tlr: 0.00012 tnm: 0.39 Lm: 6.766 (6.766) Lt: 6.024 (6.024) Accm: 2.57 (2.57) Acct: 3.96 (3.96) proj_loss: -0.6042 (-0.6042) time: 0.4640 data: 0.0004
[11-24 20:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.39 Lm: 6.697 (6.697) Lt: 5.953 (5.953) Accm: 2.86 (2.86) Acct: 4.34 (4.34) proj_loss: -0.6019 (-0.6019) time: 0.4889 data: 0.0003
[11-24 20:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.39 Lm: 6.609 (6.609) Lt: 5.905 (5.905) Accm: 3.09 (3.09) Acct: 4.73 (4.73) proj_loss: -0.5951 (-0.5951) time: 0.4888 data: 0.0003
[11-24 20:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.39 Lm: 6.521 (6.521) Lt: 5.766 (5.766) Accm: 3.42 (3.42) Acct: 5.35 (5.35) proj_loss: -0.5866 (-0.5866) time: 0.4889 data: 0.0003
[11-24 20:26:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:10:12 tlr: 0.00012 tnm: 0.39 Lm: 6.742 (6.742) Lt: 5.987 (5.987) Accm: 2.94 (2.94) Acct: 4.47 (4.47) proj_loss: -0.5845 (-0.5845) time: 0.4888 data: 0.0003
[11-24 20:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.38 Lm: 6.749 (6.782) Lt: 5.991 (6.065) Accm: 2.90 (2.81) Acct: 4.27 (4.29) proj_loss: -0.5950 (-0.5960) time: 0.4848 data: 0.0003
[11-24 20:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.38 Lm: 6.534 (6.613) Lt: 5.797 (5.897) Accm: 3.42 (3.11) Acct: 5.32 (4.79) proj_loss: -0.5847 (-0.5812) time: 0.4848 data: 0.0003
[11-24 20:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.38 Lm: 6.675 (6.631) Lt: 5.986 (5.932) Accm: 3.07 (3.08) Acct: 4.72 (4.72) proj_loss: -0.5997 (-0.5988) time: 0.4848 data: 0.0003
[11-24 20:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:06:48 tlr: 0.00012 tnm: 0.38 Lm: 6.718 (6.704) Lt: 6.024 (5.977) Accm: 2.67 (2.79) Acct: 4.03 (4.24) proj_loss: -0.5996 (-0.5975) time: 0.4848 data: 0.0003
[11-24 20:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:03:26 tlr: 0.00012 tnm: 0.41 Lm: 6.673 (6.649) Lt: 5.953 (5.925) Accm: 2.91 (2.91) Acct: 4.37 (4.38) proj_loss: -0.5942 (-0.5945) time: 0.4924 data: 0.0003
[11-24 20:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:03:26 tlr: 0.00012 tnm: 0.41 Lm: 6.601 (6.605) Lt: 5.896 (5.894) Accm: 3.27 (3.20) Acct: 5.02 (4.91) proj_loss: -0.5969 (-0.5976) time: 0.4924 data: 0.0003
[11-24 20:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:03:26 tlr: 0.00012 tnm: 0.41 Lm: 6.531 (6.592) Lt: 5.815 (5.881) Accm: 3.39 (3.17) Acct: 5.31 (4.92) proj_loss: -0.5866 (-0.5910) time: 0.4924 data: 0.0003
[11-24 20:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:03:26 tlr: 0.00012 tnm: 0.41 Lm: 6.742 (6.731) Lt: 5.987 (6.009) Accm: 2.94 (2.93) Acct: 4.47 (4.54) proj_loss: -0.5909 (-0.5937) time: 0.4924 data: 0.0003
[11-24 20:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.740 (6.733) Lt: 5.991 (6.015) Accm: 2.90 (2.88) Acct: 4.27 (4.44) proj_loss: -0.5926 (-0.5935) time: 0.6450 data: 0.0017
[11-24 20:36:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:14:05 (0.506 s / it)
[11-24 20:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.534 (6.594) Lt: 5.833 (5.875) Accm: 3.37 (3.17) Acct: 5.30 (4.92) proj_loss: -0.5863 (-0.5901) time: 0.6451 data: 0.0015
[11-24 20:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.668 (6.653) Lt: 5.953 (5.930) Accm: 2.83 (2.89) Acct: 4.60 (4.42) proj_loss: -0.5956 (-0.5947) time: 0.6451 data: 0.0017
[11-24 20:36:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.659 (6.616) Lt: 5.900 (5.895) Accm: 3.07 (3.16) Acct: 4.72 (4.85) proj_loss: -0.5997 (-0.6001) time: 0.6451 data: 0.0013
[11-24 20:36:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:14:05 (0.506 s / it)
[11-24 20:36:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:14:05 (0.506 s / it)
[11-24 20:36:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:14:05 (0.506 s / it)
[11-24 20:36:42] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.622 (6.629), Lt: 5.886 (5.893), Acc m&t: 3.05 4.81, Remain: 1 day, 11:54:12, Finish: 2024-11-25 16:30
[11-24 20:36:42] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.622 (6.629), Lt: 5.886 (5.893), Acc m&t: 3.05 4.81, Remain: 1 day, 11:54:28, Finish: 2024-11-25 16:31
[11-24 20:36:42] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.622 (6.629), Lt: 5.886 (5.893), Acc m&t: 3.05 4.81, Remain: 1 day, 11:54:27, Finish: 2024-11-25 16:31
[11-24 20:36:42] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.622 (6.629), Lt: 5.886 (5.893), Acc m&t: 3.05 4.81, Remain: 1 day, 11:54:44, Finish: 2024-11-25 16:31
[11-24 20:36:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:12:57 tlr: 0.00012 tnm: 0.40 Lm: 6.624 (6.624) Lt: 5.860 (5.860) Accm: 3.23 (3.23) Acct: 5.32 (5.32) proj_loss: -0.5909 (-0.5909) time: 0.4657 data: 0.0003
[11-24 20:36:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:12:48 tlr: 0.00012 tnm: 0.40 Lm: 6.698 (6.698) Lt: 5.981 (5.981) Accm: 2.87 (2.87) Acct: 4.41 (4.41) proj_loss: -0.6094 (-0.6094) time: 0.4604 data: 0.0003
[11-24 20:36:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:12:57 tlr: 0.00012 tnm: 0.40 Lm: 6.509 (6.509) Lt: 5.689 (5.689) Accm: 3.28 (3.28) Acct: 5.56 (5.56) proj_loss: -0.6215 (-0.6215) time: 0.4657 data: 0.0003
[11-24 20:36:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:12:48 tlr: 0.00012 tnm: 0.40 Lm: 6.514 (6.514) Lt: 5.780 (5.780) Accm: 3.61 (3.61) Acct: 5.72 (5.72) proj_loss: -0.6003 (-0.6003) time: 0.4607 data: 0.0003
[11-24 20:40:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:10:26 tlr: 0.00012 tnm: 0.38 Lm: 6.595 (6.595) Lt: 5.874 (5.874) Accm: 3.17 (3.17) Acct: 5.11 (5.11) proj_loss: -0.5981 (-0.5981) time: 0.4928 data: 0.0003
[11-24 20:40:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:10:26 tlr: 0.00012 tnm: 0.38 Lm: 6.689 (6.689) Lt: 5.947 (5.947) Accm: 2.96 (2.96) Acct: 4.80 (4.80) proj_loss: -0.5848 (-0.5848) time: 0.4928 data: 0.0003
[11-24 20:40:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:10:26 tlr: 0.00012 tnm: 0.38 Lm: 6.620 (6.620) Lt: 5.831 (5.831) Accm: 3.09 (3.09) Acct: 5.13 (5.13) proj_loss: -0.6059 (-0.6059) time: 0.4928 data: 0.0003
[11-24 20:40:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:10:26 tlr: 0.00012 tnm: 0.38 Lm: 6.618 (6.618) Lt: 5.889 (5.889) Accm: 3.19 (3.19) Acct: 4.97 (4.97) proj_loss: -0.5963 (-0.5963) time: 0.4928 data: 0.0002
[11-24 20:43:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:06:52 tlr: 0.00012 tnm: 0.39 Lm: 6.539 (6.572) Lt: 5.797 (5.826) Accm: 3.49 (3.29) Acct: 5.53 (5.18) proj_loss: -0.5833 (-0.5916) time: 0.4890 data: 0.0003
[11-24 20:43:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:06:52 tlr: 0.00012 tnm: 0.39 Lm: 6.677 (6.637) Lt: 5.942 (5.897) Accm: 2.74 (3.01) Acct: 4.51 (4.84) proj_loss: -0.5960 (-0.5910) time: 0.4889 data: 0.0003
[11-24 20:43:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:06:52 tlr: 0.00012 tnm: 0.39 Lm: 6.624 (6.647) Lt: 5.860 (5.913) Accm: 3.07 (2.99) Acct: 4.65 (4.75) proj_loss: -0.5896 (-0.5864) time: 0.4890 data: 0.0003
[11-24 20:43:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:06:52 tlr: 0.00012 tnm: 0.39 Lm: 6.716 (6.652) Lt: 5.973 (5.882) Accm: 2.91 (3.01) Acct: 4.73 (5.00) proj_loss: -0.5903 (-0.5981) time: 0.4890 data: 0.0003
[11-24 20:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:03:25 tlr: 0.00012 tnm: 0.39 Lm: 6.625 (6.623) Lt: 5.881 (5.859) Accm: 2.94 (3.00) Acct: 4.72 (4.86) proj_loss: -0.5929 (-0.5974) time: 0.4876 data: 0.0003
[11-24 20:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:03:25 tlr: 0.00012 tnm: 0.39 Lm: 6.618 (6.617) Lt: 5.889 (5.869) Accm: 3.18 (3.17) Acct: 5.04 (5.02) proj_loss: -0.5828 (-0.5883) time: 0.4876 data: 0.0003
[11-24 20:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:03:25 tlr: 0.00012 tnm: 0.39 Lm: 6.604 (6.631) Lt: 5.853 (5.894) Accm: 2.94 (2.95) Acct: 4.51 (4.66) proj_loss: -0.5903 (-0.5877) time: 0.4876 data: 0.0003
[11-24 20:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:03:25 tlr: 0.00012 tnm: 0.39 Lm: 6.698 (6.666) Lt: 5.955 (5.936) Accm: 2.78 (2.96) Acct: 4.40 (4.70) proj_loss: -0.5890 (-0.5888) time: 0.4876 data: 0.0003
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.719 (6.683) Lt: 5.968 (5.967) Accm: 2.82 (2.93) Acct: 4.36 (4.63) proj_loss: -0.5889 (-0.5888) time: 0.4910 data: 0.0019
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:13:41 (0.492 s / it)
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.615 (6.628) Lt: 5.860 (5.888) Accm: 3.07 (2.99) Acct: 4.65 (4.72) proj_loss: -0.5896 (-0.5857) time: 0.4910 data: 0.0019
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.642 (6.622) Lt: 5.924 (5.880) Accm: 2.87 (3.08) Acct: 4.55 (4.88) proj_loss: -0.5833 (-0.5921) time: 0.4910 data: 0.0016
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.625 (6.623) Lt: 5.921 (5.871) Accm: 2.97 (3.01) Acct: 4.70 (4.81) proj_loss: -0.5954 (-0.5970) time: 0.4910 data: 0.0018
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:13:41 (0.492 s / it)
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:13:41 (0.492 s / it)
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:13:41 (0.492 s / it)
[11-24 20:50:24] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.622 (6.638), Lt: 5.886 (5.905), Acc m&t: 3.05 4.81, Remain: 1 day, 11:44:41, Finish: 2024-11-25 16:35
[11-24 20:50:24] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.622 (6.638), Lt: 5.886 (5.905), Acc m&t: 3.05 4.81, Remain: 1 day, 11:44:28, Finish: 2024-11-25 16:34
[11-24 20:50:24] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.622 (6.638), Lt: 5.886 (5.905), Acc m&t: 3.05 4.81, Remain: 1 day, 11:44:35, Finish: 2024-11-25 16:34
[11-24 20:50:24] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.622 (6.638), Lt: 5.886 (5.905), Acc m&t: 3.05 4.81, Remain: 1 day, 11:44:22, Finish: 2024-11-25 16:34
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:12:55 tlr: 0.00012 tnm: 0.42 Lm: 6.724 (6.724) Lt: 5.967 (5.967) Accm: 2.92 (2.92) Acct: 4.55 (4.55) proj_loss: -0.6047 (-0.6047) time: 0.4648 data: 0.0003
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:12:56 tlr: 0.00012 tnm: 0.42 Lm: 6.793 (6.793) Lt: 6.122 (6.122) Accm: 2.76 (2.76) Acct: 4.27 (4.27) proj_loss: -0.6228 (-0.6228) time: 0.4653 data: 0.0004
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:12:56 tlr: 0.00012 tnm: 0.42 Lm: 6.537 (6.537) Lt: 5.771 (5.771) Accm: 3.08 (3.08) Acct: 4.91 (4.91) proj_loss: -0.5819 (-0.5819) time: 0.4654 data: 0.0004
[11-24 20:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:12:57 tlr: 0.00012 tnm: 0.42 Lm: 6.608 (6.608) Lt: 5.872 (5.872) Accm: 3.11 (3.11) Acct: 4.58 (4.58) proj_loss: -0.5670 (-0.5670) time: 0.4658 data: 0.0004
[11-24 20:54:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:11:03 tlr: 0.00012 tnm: 0.39 Lm: 6.588 (6.588) Lt: 5.816 (5.816) Accm: 3.10 (3.10) Acct: 4.86 (4.86) proj_loss: -0.5784 (-0.5784) time: 0.6416 data: 0.0003
[11-24 20:54:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:11:03 tlr: 0.00012 tnm: 0.39 Lm: 6.543 (6.543) Lt: 5.778 (5.778) Accm: 3.30 (3.30) Acct: 5.28 (5.28) proj_loss: -0.5880 (-0.5880) time: 0.6416 data: 0.0003
[11-24 20:54:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:11:03 tlr: 0.00012 tnm: 0.39 Lm: 6.563 (6.563) Lt: 5.839 (5.839) Accm: 3.49 (3.49) Acct: 5.41 (5.41) proj_loss: -0.6116 (-0.6116) time: 0.6416 data: 0.0003
[11-24 20:54:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:11:03 tlr: 0.00012 tnm: 0.39 Lm: 6.725 (6.725) Lt: 6.002 (6.002) Accm: 2.82 (2.82) Acct: 4.40 (4.40) proj_loss: -0.6070 (-0.6070) time: 0.6416 data: 0.0002
[11-24 20:57:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:07:18 tlr: 0.00012 tnm: 0.38 Lm: 6.724 (6.692) Lt: 5.967 (5.959) Accm: 2.92 (2.94) Acct: 4.55 (4.55) proj_loss: -0.6047 (-0.5992) time: 0.4899 data: 0.0003
[11-24 20:57:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:07:18 tlr: 0.00012 tnm: 0.38 Lm: 6.548 (6.556) Lt: 5.783 (5.780) Accm: 3.25 (3.28) Acct: 5.42 (5.33) proj_loss: -0.5839 (-0.5866) time: 0.4899 data: 0.0003
[11-24 20:57:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:07:18 tlr: 0.00012 tnm: 0.38 Lm: 6.652 (6.593) Lt: 5.942 (5.873) Accm: 3.05 (3.34) Acct: 4.86 (5.23) proj_loss: -0.6003 (-0.6024) time: 0.4899 data: 0.0003
[11-24 20:57:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:07:18 tlr: 0.00012 tnm: 0.38 Lm: 6.608 (6.630) Lt: 5.872 (5.869) Accm: 3.09 (2.94) Acct: 4.58 (4.58) proj_loss: -0.5670 (-0.5727) time: 0.4899 data: 0.0003
[11-24 21:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:03:36 tlr: 0.00011 tnm: 0.40 Lm: 6.588 (6.587) Lt: 5.816 (5.821) Accm: 3.10 (3.13) Acct: 4.86 (4.92) proj_loss: -0.5784 (-0.5807) time: 0.4888 data: 0.0003
[11-24 21:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:03:36 tlr: 0.00011 tnm: 0.40 Lm: 6.675 (6.613) Lt: 5.920 (5.876) Accm: 3.06 (3.09) Acct: 4.70 (4.77) proj_loss: -0.5941 (-0.5926) time: 0.4888 data: 0.0003
[11-24 21:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:03:36 tlr: 0.00011 tnm: 0.40 Lm: 6.689 (6.626) Lt: 5.967 (5.903) Accm: 2.91 (3.18) Acct: 4.70 (5.06) proj_loss: -0.5992 (-0.6014) time: 0.4888 data: 0.0003
[11-24 21:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:03:36 tlr: 0.00011 tnm: 0.40 Lm: 6.564 (6.562) Lt: 5.784 (5.790) Accm: 3.20 (3.25) Acct: 5.29 (5.29) proj_loss: -0.5890 (-0.5936) time: 0.4888 data: 0.0003
[11-24 21:04:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.40 Lm: 6.567 (6.563) Lt: 5.786 (5.796) Accm: 3.25 (3.30) Acct: 5.25 (5.28) proj_loss: -0.5854 (-0.5920) time: 0.4923 data: 0.0015
[11-24 21:04:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:14:11 (0.510 s / it)
[11-24 21:04:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.40 Lm: 6.652 (6.626) Lt: 5.942 (5.891) Accm: 3.04 (3.15) Acct: 4.86 (5.03) proj_loss: -0.5981 (-0.5987) time: 0.4923 data: 0.0017
[11-24 21:04:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.40 Lm: 6.625 (6.604) Lt: 5.873 (5.865) Accm: 3.15 (3.10) Acct: 4.86 (4.81) proj_loss: -0.5926 (-0.5926) time: 0.4923 data: 0.0015
[11-24 21:04:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.40 Lm: 6.591 (6.587) Lt: 5.784 (5.813) Accm: 3.11 (3.14) Acct: 5.13 (5.00) proj_loss: -0.5777 (-0.5801) time: 0.4922 data: 0.0018
[11-24 21:04:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:14:11 (0.510 s / it)
[11-24 21:04:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:14:11 (0.510 s / it)
[11-24 21:04:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:14:11 (0.510 s / it)
[11-24 21:04:35] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.622 (6.624), Lt: 5.886 (5.886), Acc m&t: 3.06 4.81, Remain: 1 day, 11:29:43, Finish: 2024-11-25 16:34
[11-24 21:04:35] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.622 (6.624), Lt: 5.886 (5.886), Acc m&t: 3.06 4.81, Remain: 1 day, 11:28:04, Finish: 2024-11-25 16:32
[11-24 21:04:35] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.622 (6.624), Lt: 5.886 (5.886), Acc m&t: 3.06 4.81, Remain: 1 day, 11:29:16, Finish: 2024-11-25 16:33
[11-24 21:04:35] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.622 (6.624), Lt: 5.886 (5.886), Acc m&t: 3.06 4.81, Remain: 1 day, 11:29:07, Finish: 2024-11-25 16:33
[11-24 21:04:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:13:08 tlr: 0.00011 tnm: 0.40 Lm: 6.677 (6.677) Lt: 5.915 (5.915) Accm: 2.87 (2.87) Acct: 4.79 (4.79) proj_loss: -0.5923 (-0.5923) time: 0.4723 data: 0.0004
[11-24 21:04:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:13:08 tlr: 0.00011 tnm: 0.40 Lm: 6.667 (6.667) Lt: 5.936 (5.936) Accm: 2.78 (2.78) Acct: 4.29 (4.29) proj_loss: -0.5851 (-0.5851) time: 0.4726 data: 0.0004
[11-24 21:04:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:13:08 tlr: 0.00011 tnm: 0.40 Lm: 6.626 (6.626) Lt: 5.858 (5.858) Accm: 3.10 (3.10) Acct: 5.11 (5.11) proj_loss: -0.5984 (-0.5984) time: 0.4726 data: 0.0004
[11-24 21:04:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:13:17 tlr: 0.00011 tnm: 0.40 Lm: 6.699 (6.699) Lt: 5.977 (5.977) Accm: 2.97 (2.97) Acct: 4.46 (4.46) proj_loss: -0.5789 (-0.5789) time: 0.4776 data: 0.0004
[11-24 21:08:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.40 Lm: 6.740 (6.740) Lt: 6.022 (6.022) Accm: 2.78 (2.78) Acct: 4.19 (4.19) proj_loss: -0.5851 (-0.5851) time: 0.4939 data: 0.0003
[11-24 21:08:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.40 Lm: 6.590 (6.590) Lt: 5.839 (5.839) Accm: 3.02 (3.02) Acct: 4.76 (4.76) proj_loss: -0.5944 (-0.5944) time: 0.4939 data: 0.0003
[11-24 21:08:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.40 Lm: 6.621 (6.621) Lt: 5.883 (5.883) Accm: 3.14 (3.14) Acct: 4.99 (4.99) proj_loss: -0.5983 (-0.5983) time: 0.4939 data: 0.0003
[11-24 21:08:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.40 Lm: 6.680 (6.680) Lt: 5.932 (5.932) Accm: 2.79 (2.79) Acct: 4.35 (4.35) proj_loss: -0.5924 (-0.5924) time: 0.4939 data: 0.0003
[11-24 21:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:06:53 tlr: 0.00011 tnm: 0.38 Lm: 6.682 (6.691) Lt: 5.950 (5.961) Accm: 2.86 (2.81) Acct: 4.10 (4.26) proj_loss: -0.5923 (-0.5882) time: 0.5389 data: 0.0003
[11-24 21:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:06:53 tlr: 0.00011 tnm: 0.38 Lm: 6.513 (6.544) Lt: 5.742 (5.788) Accm: 3.25 (3.21) Acct: 5.23 (5.08) proj_loss: -0.5958 (-0.5949) time: 0.5389 data: 0.0003
[11-24 21:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:06:53 tlr: 0.00011 tnm: 0.38 Lm: 6.617 (6.597) Lt: 5.858 (5.840) Accm: 3.17 (3.21) Acct: 5.11 (5.17) proj_loss: -0.5983 (-0.5924) time: 0.5389 data: 0.0003
[11-24 21:11:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:06:53 tlr: 0.00011 tnm: 0.38 Lm: 6.699 (6.712) Lt: 5.977 (5.966) Accm: 2.97 (2.90) Acct: 4.46 (4.36) proj_loss: -0.5799 (-0.5834) time: 0.5389 data: 0.0003
[11-24 21:15:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:03:28 tlr: 0.00011 tnm: 0.40 Lm: 6.677 (6.663) Lt: 5.916 (5.913) Accm: 3.05 (3.09) Acct: 4.57 (4.63) proj_loss: -0.5856 (-0.5872) time: 0.5484 data: 0.0003
[11-24 21:15:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:03:28 tlr: 0.00011 tnm: 0.40 Lm: 6.590 (6.580) Lt: 5.839 (5.833) Accm: 3.08 (3.14) Acct: 4.92 (4.96) proj_loss: -0.5957 (-0.5951) time: 0.5484 data: 0.0003
[11-24 21:15:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:03:28 tlr: 0.00011 tnm: 0.40 Lm: 6.621 (6.633) Lt: 5.883 (5.872) Accm: 3.14 (3.17) Acct: 5.01 (5.11) proj_loss: -0.5894 (-0.5869) time: 0.5484 data: 0.0003
[11-24 21:15:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:03:28 tlr: 0.00011 tnm: 0.40 Lm: 6.680 (6.659) Lt: 5.932 (5.929) Accm: 2.87 (2.91) Acct: 4.44 (4.50) proj_loss: -0.5875 (-0.5868) time: 0.5484 data: 0.0003
[11-24 21:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.677 (6.636) Lt: 5.915 (5.905) Accm: 2.87 (3.01) Acct: 4.79 (4.60) proj_loss: -0.5863 (-0.5867) time: 0.5394 data: 0.0014
[11-24 21:18:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:14:10 (0.510 s / it)
[11-24 21:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.513 (6.553) Lt: 5.742 (5.800) Accm: 3.25 (3.17) Acct: 4.96 (4.96) proj_loss: -0.5958 (-0.5965) time: 0.5394 data: 0.0016
[11-24 21:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.617 (6.622) Lt: 5.858 (5.868) Accm: 3.10 (3.11) Acct: 4.91 (5.01) proj_loss: -0.5938 (-0.5883) time: 0.5394 data: 0.0016
[11-24 21:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.654 (6.641) Lt: 5.863 (5.903) Accm: 3.02 (3.08) Acct: 4.68 (4.68) proj_loss: -0.5914 (-0.5914) time: 0.5394 data: 0.0016
[11-24 21:18:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:14:10 (0.510 s / it)
[11-24 21:18:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:14:11 (0.510 s / it)
[11-24 21:18:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:14:11 (0.510 s / it)
[11-24 21:18:46] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.622 (6.631), Lt: 5.886 (5.894), Acc m&t: 3.06 4.81, Remain: 1 day, 11:12:32, Finish: 2024-11-25 16:31
[11-24 21:18:46] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.622 (6.631), Lt: 5.886 (5.894), Acc m&t: 3.06 4.81, Remain: 1 day, 11:12:10, Finish: 2024-11-25 16:30
[11-24 21:18:46] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.622 (6.631), Lt: 5.886 (5.894), Acc m&t: 3.06 4.81, Remain: 1 day, 11:13:22, Finish: 2024-11-25 16:32
[11-24 21:18:46] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.622 (6.631), Lt: 5.886 (5.894), Acc m&t: 3.06 4.81, Remain: 1 day, 11:12:30, Finish: 2024-11-25 16:31
[11-24 21:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:12:51 tlr: 0.00011 tnm: 0.40 Lm: 6.686 (6.686) Lt: 5.964 (5.964) Accm: 3.05 (3.05) Acct: 4.89 (4.89) proj_loss: -0.5716 (-0.5716) time: 0.4620 data: 0.0003
[11-24 21:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:12:51 tlr: 0.00011 tnm: 0.40 Lm: 6.508 (6.508) Lt: 5.723 (5.723) Accm: 3.34 (3.34) Acct: 5.53 (5.53) proj_loss: -0.5663 (-0.5663) time: 0.4623 data: 0.0004
[11-24 21:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:12:51 tlr: 0.00011 tnm: 0.40 Lm: 6.535 (6.535) Lt: 5.720 (5.720) Accm: 3.14 (3.14) Acct: 4.87 (4.87) proj_loss: -0.5881 (-0.5881) time: 0.4624 data: 0.0003
[11-24 21:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:12:53 tlr: 0.00011 tnm: 0.40 Lm: 6.550 (6.550) Lt: 5.760 (5.760) Accm: 3.11 (3.11) Acct: 5.39 (5.39) proj_loss: -0.5850 (-0.5850) time: 0.4635 data: 0.0004
[11-24 21:22:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:10:13 tlr: 0.00011 tnm: 0.38 Lm: 6.651 (6.651) Lt: 5.921 (5.921) Accm: 2.85 (2.85) Acct: 4.68 (4.68) proj_loss: -0.5859 (-0.5859) time: 0.4922 data: 0.0003
[11-24 21:22:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:10:13 tlr: 0.00011 tnm: 0.38 Lm: 6.637 (6.637) Lt: 5.930 (5.930) Accm: 2.96 (2.96) Acct: 4.45 (4.45) proj_loss: -0.6017 (-0.6017) time: 0.4922 data: 0.0003
[11-24 21:22:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:10:13 tlr: 0.00011 tnm: 0.38 Lm: 6.582 (6.582) Lt: 5.842 (5.842) Accm: 3.08 (3.08) Acct: 4.83 (4.83) proj_loss: -0.5759 (-0.5759) time: 0.4922 data: 0.0003
[11-24 21:22:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:10:13 tlr: 0.00011 tnm: 0.38 Lm: 6.625 (6.625) Lt: 5.891 (5.891) Accm: 2.96 (2.96) Acct: 4.68 (4.68) proj_loss: -0.5704 (-0.5704) time: 0.4922 data: 0.0003
[11-24 21:25:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.39 Lm: 6.618 (6.623) Lt: 5.817 (5.862) Accm: 3.05 (3.08) Acct: 4.89 (4.95) proj_loss: -0.5716 (-0.5726) time: 0.4918 data: 0.0003
[11-24 21:25:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.39 Lm: 6.649 (6.641) Lt: 5.867 (5.909) Accm: 3.13 (3.01) Acct: 4.84 (4.58) proj_loss: -0.5970 (-0.6001) time: 0.4918 data: 0.0003
[11-24 21:25:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.39 Lm: 6.612 (6.592) Lt: 5.856 (5.847) Accm: 3.05 (3.07) Acct: 4.77 (4.81) proj_loss: -0.5854 (-0.5822) time: 0.4918 data: 0.0003
[11-24 21:25:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.39 Lm: 6.694 (6.665) Lt: 5.959 (5.933) Accm: 2.96 (2.89) Acct: 4.86 (4.74) proj_loss: -0.5850 (-0.5846) time: 0.4918 data: 0.0003
[11-24 21:28:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.39 Lm: 6.686 (6.668) Lt: 5.903 (5.912) Accm: 2.95 (2.90) Acct: 4.92 (4.80) proj_loss: -0.5836 (-0.5820) time: 0.4902 data: 0.0003
[11-24 21:28:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.39 Lm: 6.674 (6.655) Lt: 5.920 (5.925) Accm: 3.07 (3.01) Acct: 4.84 (4.64) proj_loss: -0.5939 (-0.5978) time: 0.4902 data: 0.0003
[11-24 21:28:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.39 Lm: 6.634 (6.631) Lt: 5.909 (5.900) Accm: 2.94 (2.94) Acct: 4.45 (4.61) proj_loss: -0.5902 (-0.5868) time: 0.4902 data: 0.0003
[11-24 21:28:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.39 Lm: 6.652 (6.647) Lt: 5.891 (5.903) Accm: 2.96 (2.91) Acct: 4.68 (4.59) proj_loss: -0.5708 (-0.5719) time: 0.4902 data: 0.0003
[11-24 21:32:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.618 (6.625) Lt: 5.817 (5.876) Accm: 3.05 (2.99) Acct: 4.89 (4.76) proj_loss: -0.5716 (-0.5763) time: 0.5496 data: 0.0016
[11-24 21:32:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:13:39 (0.491 s / it)
[11-24 21:32:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.655 (6.648) Lt: 5.961 (5.922) Accm: 2.83 (2.92) Acct: 4.49 (4.59) proj_loss: -0.5854 (-0.5857) time: 0.5496 data: 0.0020
[11-24 21:32:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.678 (6.655) Lt: 5.848 (5.890) Accm: 2.96 (2.98) Acct: 4.98 (4.89) proj_loss: -0.5850 (-0.5836) time: 0.5496 data: 0.0015
[11-24 21:32:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.699 (6.668) Lt: 5.972 (5.940) Accm: 3.02 (2.97) Acct: 4.84 (4.59) proj_loss: -0.5965 (-0.5975) time: 0.5496 data: 0.0018
[11-24 21:32:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:13:39 (0.491 s / it)
[11-24 21:32:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:13:39 (0.491 s / it)
[11-24 21:32:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:13:39 (0.491 s / it)
[11-24 21:32:25] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.622 (6.627), Lt: 5.886 (5.886), Acc m&t: 3.06 4.81, Remain: 1 day, 10:59:56, Finish: 2024-11-25 16:32
[11-24 21:32:25] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.622 (6.627), Lt: 5.886 (5.886), Acc m&t: 3.06 4.81, Remain: 1 day, 10:59:04, Finish: 2024-11-25 16:31
[11-24 21:32:25] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.622 (6.627), Lt: 5.886 (5.886), Acc m&t: 3.06 4.81, Remain: 1 day, 10:59:28, Finish: 2024-11-25 16:31
[11-24 21:32:25] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.622 (6.627), Lt: 5.886 (5.886), Acc m&t: 3.06 4.81, Remain: 1 day, 10:58:48, Finish: 2024-11-25 16:31
[11-24 21:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:13:13 tlr: 0.00011 tnm: 0.40 Lm: 6.616 (6.616) Lt: 5.876 (5.876) Accm: 3.21 (3.21) Acct: 5.03 (5.03) proj_loss: -0.5804 (-0.5804) time: 0.4756 data: 0.0004
[11-24 21:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:13:15 tlr: 0.00011 tnm: 0.40 Lm: 6.539 (6.539) Lt: 5.808 (5.808) Accm: 3.26 (3.26) Acct: 4.92 (4.92) proj_loss: -0.6077 (-0.6077) time: 0.4763 data: 0.0003
[11-24 21:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:13:14 tlr: 0.00011 tnm: 0.40 Lm: 6.577 (6.577) Lt: 5.828 (5.828) Accm: 3.21 (3.21) Acct: 4.80 (4.80) proj_loss: -0.5817 (-0.5817) time: 0.4763 data: 0.0004
[11-24 21:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:13:15 tlr: 0.00011 tnm: 0.40 Lm: 6.649 (6.649) Lt: 5.931 (5.931) Accm: 3.10 (3.10) Acct: 5.10 (5.10) proj_loss: -0.5994 (-0.5994) time: 0.4764 data: 0.0004
[11-24 21:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:11:23 tlr: 0.00011 tnm: 0.42 Lm: 6.607 (6.607) Lt: 5.860 (5.860) Accm: 3.12 (3.12) Acct: 5.05 (5.05) proj_loss: -0.6003 (-0.6003) time: 0.6057 data: 0.0003
[11-24 21:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:11:23 tlr: 0.00011 tnm: 0.42 Lm: 6.566 (6.566) Lt: 5.829 (5.829) Accm: 3.21 (3.21) Acct: 4.86 (4.86) proj_loss: -0.5878 (-0.5878) time: 0.6057 data: 0.0003
[11-24 21:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:11:23 tlr: 0.00011 tnm: 0.42 Lm: 6.616 (6.616) Lt: 5.864 (5.864) Accm: 3.04 (3.04) Acct: 4.77 (4.77) proj_loss: -0.5967 (-0.5967) time: 0.6057 data: 0.0003
[11-24 21:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:11:23 tlr: 0.00011 tnm: 0.42 Lm: 6.595 (6.595) Lt: 5.839 (5.839) Accm: 3.17 (3.17) Acct: 5.08 (5.08) proj_loss: -0.5880 (-0.5880) time: 0.6057 data: 0.0003
[11-24 21:39:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:07:16 tlr: 0.00011 tnm: 0.38 Lm: 6.586 (6.592) Lt: 5.835 (5.837) Accm: 3.15 (3.16) Acct: 5.03 (5.04) proj_loss: -0.5956 (-0.5921) time: 0.4891 data: 0.0003
[11-24 21:39:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:07:16 tlr: 0.00011 tnm: 0.38 Lm: 6.562 (6.564) Lt: 5.830 (5.830) Accm: 3.21 (3.23) Acct: 4.91 (4.93) proj_loss: -0.5938 (-0.5901) time: 0.4890 data: 0.0003
[11-24 21:39:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:07:16 tlr: 0.00011 tnm: 0.38 Lm: 6.649 (6.644) Lt: 5.931 (5.913) Accm: 3.10 (2.98) Acct: 5.01 (4.75) proj_loss: -0.6013 (-0.6033) time: 0.4891 data: 0.0003
[11-24 21:39:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:07:16 tlr: 0.00011 tnm: 0.38 Lm: 6.539 (6.587) Lt: 5.837 (5.855) Accm: 3.26 (3.20) Acct: 4.92 (4.90) proj_loss: -0.6077 (-0.6067) time: 0.4890 data: 0.0003
[11-24 21:43:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:03:34 tlr: 0.00011 tnm: 0.40 Lm: 6.535 (6.564) Lt: 5.823 (5.827) Accm: 3.30 (3.23) Acct: 5.04 (5.00) proj_loss: -0.6118 (-0.6090) time: 0.4902 data: 0.0003
[11-24 21:43:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:03:34 tlr: 0.00011 tnm: 0.40 Lm: 6.684 (6.678) Lt: 5.975 (5.955) Accm: 2.92 (2.92) Acct: 4.57 (4.58) proj_loss: -0.6003 (-0.5997) time: 0.4902 data: 0.0003
[11-24 21:43:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:03:34 tlr: 0.00011 tnm: 0.40 Lm: 6.569 (6.577) Lt: 5.831 (5.846) Accm: 3.21 (3.15) Acct: 4.86 (4.76) proj_loss: -0.5932 (-0.5907) time: 0.4902 data: 0.0002
[11-24 21:43:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:03:34 tlr: 0.00011 tnm: 0.40 Lm: 6.601 (6.626) Lt: 5.855 (5.873) Accm: 3.14 (3.06) Acct: 4.99 (4.87) proj_loss: -0.5944 (-0.5923) time: 0.4902 data: 0.0003
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.616 (6.626) Lt: 5.870 (5.872) Accm: 3.13 (3.05) Acct: 4.96 (4.85) proj_loss: -0.5946 (-0.5928) time: 0.4925 data: 0.0021
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:14:08 (0.508 s / it)
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.649 (6.669) Lt: 5.931 (5.943) Accm: 2.99 (2.93) Acct: 4.70 (4.60) proj_loss: -0.5994 (-0.5935) time: 0.4925 data: 0.0016
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.577 (6.617) Lt: 5.832 (5.885) Accm: 3.20 (3.12) Acct: 4.84 (4.78) proj_loss: -0.5938 (-0.5916) time: 0.4925 data: 0.0018
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.539 (6.569) Lt: 5.837 (5.845) Accm: 3.26 (3.22) Acct: 4.92 (4.95) proj_loss: -0.6114 (-0.6095) time: 0.4925 data: 0.0019
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:14:08 (0.508 s / it)
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:14:08 (0.508 s / it)
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:14:08 (0.508 s / it)
[11-24 21:46:34] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.622 (6.625), Lt: 5.886 (5.891), Acc m&t: 3.06 4.81, Remain: 1 day, 10:45:43, Finish: 2024-11-25 16:32
[11-24 21:46:34] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.622 (6.625), Lt: 5.886 (5.891), Acc m&t: 3.06 4.81, Remain: 1 day, 10:45:20, Finish: 2024-11-25 16:31
[11-24 21:46:34] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.622 (6.625), Lt: 5.886 (5.891), Acc m&t: 3.06 4.81, Remain: 1 day, 10:45:22, Finish: 2024-11-25 16:31
[11-24 21:46:34] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.622 (6.625), Lt: 5.886 (5.891), Acc m&t: 3.06 4.81, Remain: 1 day, 10:45:17, Finish: 2024-11-25 16:31
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:13:46 tlr: 0.00011 tnm: 0.39 Lm: 6.566 (6.566) Lt: 5.779 (5.779) Accm: 3.04 (3.04) Acct: 4.67 (4.67) proj_loss: -0.5784 (-0.5784) time: 0.4955 data: 0.0003
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:13:47 tlr: 0.00011 tnm: 0.39 Lm: 6.281 (6.281) Lt: 5.519 (5.519) Accm: 4.06 (4.06) Acct: 6.34 (6.34) proj_loss: -0.5814 (-0.5814) time: 0.4959 data: 0.0004
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:13:39 tlr: 0.00011 tnm: 0.39 Lm: 6.427 (6.427) Lt: 5.718 (5.718) Accm: 3.74 (3.74) Acct: 5.68 (5.68) proj_loss: -0.6086 (-0.6086) time: 0.4912 data: 0.0003
[11-24 21:46:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:13:40 tlr: 0.00011 tnm: 0.39 Lm: 6.535 (6.535) Lt: 5.763 (5.763) Accm: 3.36 (3.36) Acct: 4.98 (4.98) proj_loss: -0.5931 (-0.5931) time: 0.4913 data: 0.0003
[11-24 21:49:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.41 Lm: 6.559 (6.559) Lt: 5.795 (5.795) Accm: 3.26 (3.26) Acct: 5.03 (5.03) proj_loss: -0.5896 (-0.5896) time: 0.4906 data: 0.0003
[11-24 21:49:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.41 Lm: 6.493 (6.493) Lt: 5.731 (5.731) Accm: 3.48 (3.48) Acct: 5.41 (5.41) proj_loss: -0.5694 (-0.5694) time: 0.4906 data: 0.0003
[11-24 21:49:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.41 Lm: 6.641 (6.641) Lt: 5.865 (5.865) Accm: 2.91 (2.91) Acct: 4.49 (4.49) proj_loss: -0.5838 (-0.5838) time: 0.4906 data: 0.0003
[11-24 21:49:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.41 Lm: 6.571 (6.571) Lt: 5.852 (5.852) Accm: 3.29 (3.29) Acct: 4.98 (4.98) proj_loss: -0.6000 (-0.6000) time: 0.4906 data: 0.0003
[11-24 21:53:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:06:56 tlr: 0.00011 tnm: 0.40 Lm: 6.626 (6.590) Lt: 5.889 (5.864) Accm: 3.15 (3.24) Acct: 5.04 (5.00) proj_loss: -0.5914 (-0.5965) time: 0.5409 data: 0.0003
[11-24 21:53:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:06:56 tlr: 0.00011 tnm: 0.40 Lm: 6.509 (6.498) Lt: 5.654 (5.705) Accm: 3.38 (3.45) Acct: 5.37 (5.40) proj_loss: -0.5814 (-0.5767) time: 0.5409 data: 0.0003
[11-24 21:53:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:06:56 tlr: 0.00011 tnm: 0.40 Lm: 6.716 (6.666) Lt: 5.951 (5.896) Accm: 2.77 (2.82) Acct: 4.32 (4.37) proj_loss: -0.5887 (-0.5854) time: 0.5409 data: 0.0003
[11-24 21:53:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:06:56 tlr: 0.00011 tnm: 0.40 Lm: 6.583 (6.595) Lt: 5.826 (5.837) Accm: 3.16 (3.17) Acct: 5.01 (5.02) proj_loss: -0.5931 (-0.5929) time: 0.5409 data: 0.0003
[11-24 21:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:03:30 tlr: 0.00011 tnm: 0.41 Lm: 6.625 (6.639) Lt: 5.874 (5.894) Accm: 3.07 (3.03) Acct: 4.99 (4.81) proj_loss: -0.5963 (-0.5988) time: 0.5467 data: 0.0003
[11-24 21:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:03:30 tlr: 0.00011 tnm: 0.41 Lm: 6.562 (6.527) Lt: 5.785 (5.758) Accm: 3.14 (3.29) Acct: 4.96 (5.19) proj_loss: -0.5811 (-0.5778) time: 0.5467 data: 0.0003
[11-24 21:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:03:30 tlr: 0.00011 tnm: 0.41 Lm: 6.671 (6.622) Lt: 5.938 (5.904) Accm: 3.02 (3.15) Acct: 4.89 (4.94) proj_loss: -0.5905 (-0.5931) time: 0.5467 data: 0.0003
[11-24 21:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:03:30 tlr: 0.00011 tnm: 0.41 Lm: 6.641 (6.627) Lt: 5.865 (5.861) Accm: 2.91 (2.96) Acct: 4.49 (4.57) proj_loss: -0.5889 (-0.5876) time: 0.5467 data: 0.0003
[11-24 22:00:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.42 Lm: 6.576 (6.617) Lt: 5.801 (5.849) Accm: 3.04 (3.00) Acct: 4.67 (4.62) proj_loss: -0.5887 (-0.5853) time: 0.4897 data: 0.0013
[11-24 22:00:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:14:10 (0.510 s / it)
[11-24 22:00:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.42 Lm: 6.583 (6.616) Lt: 5.826 (5.869) Accm: 3.16 (3.21) Acct: 5.01 (5.12) proj_loss: -0.5989 (-0.5988) time: 0.4897 data: 0.0018
[11-24 22:00:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.42 Lm: 6.626 (6.615) Lt: 5.889 (5.892) Accm: 3.15 (3.19) Acct: 5.04 (5.01) proj_loss: -0.5895 (-0.5871) time: 0.4898 data: 0.0018
[11-24 22:00:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.42 Lm: 6.576 (6.537) Lt: 5.888 (5.784) Accm: 2.99 (3.23) Acct: 4.55 (5.03) proj_loss: -0.5814 (-0.5861) time: 0.4898 data: 0.0021
[11-24 22:00:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:14:10 (0.510 s / it)
[11-24 22:00:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:14:10 (0.510 s / it)
[11-24 22:00:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:14:10 (0.510 s / it)
[11-24 22:03:02] (home/user/VAR/trainer.py, line 114)=> FID: 3.8326348052389676
[11-24 22:03:03] (/home/user/VAR/train.py , line 259)=> [*] [ep199] (val 50000) Lm: 6.6191, Lt: 5.8856, Acc m&t: 3.07 4.82, Val cost: 137.84s
[11-24 22:03:03] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-24 22:03:16] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.619 (6.619), Lt: 5.886 (5.886), Acc m&t: 3.07 4.82, Remain: 1 day, 10:30:11, Finish: 2024-11-25 16:30
[11-24 22:03:16] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.619 (6.619), Lt: 5.886 (5.886), Acc m&t: 3.07 4.82, Remain: 1 day, 10:30:34, Finish: 2024-11-25 16:31
[11-24 22:03:16] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.619 (6.619), Lt: 5.886 (5.886), Acc m&t: 3.07 4.82, Remain: 1 day, 10:30:01, Finish: 2024-11-25 16:30
[11-24 22:03:16] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.619 (6.619), Lt: 5.886 (5.886), Acc m&t: 3.07 4.82, Remain: 1 day, 10:30:07, Finish: 2024-11-25 16:30
[11-24 22:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:13:46 tlr: 0.00011 tnm: 0.39 Lm: 6.680 (6.680) Lt: 5.947 (5.947) Accm: 3.24 (3.24) Acct: 5.23 (5.23) proj_loss: -0.5871 (-0.5871) time: 0.4953 data: 0.0003
[11-24 22:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:13:46 tlr: 0.00011 tnm: 0.39 Lm: 6.589 (6.589) Lt: 5.815 (5.815) Accm: 3.48 (3.48) Acct: 5.58 (5.58) proj_loss: -0.5799 (-0.5799) time: 0.4952 data: 0.0004
[11-24 22:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:13:46 tlr: 0.00011 tnm: 0.39 Lm: 6.579 (6.579) Lt: 5.774 (5.774) Accm: 3.14 (3.14) Acct: 4.99 (4.99) proj_loss: -0.5922 (-0.5922) time: 0.4953 data: 0.0003
[11-24 22:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:13:47 tlr: 0.00011 tnm: 0.39 Lm: 6.672 (6.672) Lt: 5.952 (5.952) Accm: 3.31 (3.31) Acct: 4.99 (4.99) proj_loss: -0.5896 (-0.5896) time: 0.4957 data: 0.0004
[11-24 22:06:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.40 Lm: 6.667 (6.667) Lt: 5.951 (5.951) Accm: 2.98 (2.98) Acct: 4.63 (4.63) proj_loss: -0.5856 (-0.5856) time: 0.4915 data: 0.0003
[11-24 22:06:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.40 Lm: 6.654 (6.654) Lt: 5.873 (5.873) Accm: 3.00 (3.00) Acct: 4.86 (4.86) proj_loss: -0.5942 (-0.5942) time: 0.4915 data: 0.0003
[11-24 22:06:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.40 Lm: 6.604 (6.604) Lt: 5.878 (5.878) Accm: 3.29 (3.29) Acct: 5.11 (5.11) proj_loss: -0.5893 (-0.5893) time: 0.4915 data: 0.0003
[11-24 22:06:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.40 Lm: 6.702 (6.702) Lt: 5.966 (5.966) Accm: 3.03 (3.03) Acct: 4.83 (4.83) proj_loss: -0.5745 (-0.5745) time: 0.4915 data: 0.0003
[11-24 22:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.40 Lm: 6.637 (6.680) Lt: 5.912 (5.948) Accm: 3.05 (3.04) Acct: 4.80 (4.82) proj_loss: -0.5799 (-0.5798) time: 0.4907 data: 0.0002
[11-24 22:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.40 Lm: 6.729 (6.685) Lt: 5.971 (5.925) Accm: 2.87 (2.90) Acct: 4.73 (4.69) proj_loss: -0.5922 (-0.5911) time: 0.4907 data: 0.0003
[11-24 22:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.40 Lm: 6.582 (6.597) Lt: 5.810 (5.841) Accm: 3.24 (3.25) Acct: 5.23 (5.21) proj_loss: -0.5871 (-0.5876) time: 0.4907 data: 0.0003
[11-24 22:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.40 Lm: 6.672 (6.682) Lt: 5.952 (5.967) Accm: 2.91 (2.96) Acct: 4.55 (4.60) proj_loss: -0.5896 (-0.5908) time: 0.4907 data: 0.0003
[11-24 22:13:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.40 Lm: 6.667 (6.664) Lt: 5.951 (5.943) Accm: 3.03 (3.01) Acct: 4.66 (4.64) proj_loss: -0.5954 (-0.5957) time: 0.4906 data: 0.0003
[11-24 22:13:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.40 Lm: 6.555 (6.553) Lt: 5.788 (5.792) Accm: 3.29 (3.37) Acct: 5.33 (5.40) proj_loss: -0.5893 (-0.5913) time: 0.4906 data: 0.0003
[11-24 22:13:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.40 Lm: 6.694 (6.679) Lt: 5.969 (5.935) Accm: 2.87 (2.89) Acct: 4.65 (4.66) proj_loss: -0.5930 (-0.5918) time: 0.4906 data: 0.0002
[11-24 22:13:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.40 Lm: 6.628 (6.665) Lt: 5.882 (5.924) Accm: 2.98 (3.00) Acct: 4.67 (4.75) proj_loss: -0.5845 (-0.5821) time: 0.4906 data: 0.0003
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.619 (6.641) Lt: 5.852 (5.890) Accm: 3.05 (3.11) Acct: 4.80 (4.97) proj_loss: -0.5799 (-0.5797) time: 0.5929 data: 0.0018
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:13:43 (0.494 s / it)
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.660 (6.664) Lt: 5.966 (5.927) Accm: 2.87 (2.97) Acct: 4.73 (4.76) proj_loss: -0.5922 (-0.5900) time: 0.5929 data: 0.0013
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.662 (6.662) Lt: 5.949 (5.935) Accm: 2.93 (2.99) Acct: 4.63 (4.64) proj_loss: -0.5930 (-0.5952) time: 0.5929 data: 0.0018
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.582 (6.560) Lt: 5.810 (5.798) Accm: 3.33 (3.38) Acct: 5.39 (5.40) proj_loss: -0.5871 (-0.5903) time: 0.5929 data: 0.0018
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:13:43 (0.494 s / it)
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:13:43 (0.494 s / it)
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:13:43 (0.494 s / it)
[11-24 22:17:00] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.619 (6.632), Lt: 5.886 (5.898), Acc m&t: 3.07 4.82, Remain: 1 day, 10:22:37, Finish: 2024-11-25 16:39
[11-24 22:17:00] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.619 (6.632), Lt: 5.886 (5.898), Acc m&t: 3.07 4.82, Remain: 1 day, 10:21:57, Finish: 2024-11-25 16:38
[11-24 22:17:00] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.619 (6.632), Lt: 5.886 (5.898), Acc m&t: 3.07 4.82, Remain: 1 day, 10:22:34, Finish: 2024-11-25 16:39
[11-24 22:17:00] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.619 (6.632), Lt: 5.886 (5.898), Acc m&t: 3.07 4.82, Remain: 1 day, 10:22:27, Finish: 2024-11-25 16:39
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:12:59 tlr: 0.00011 tnm: 0.40 Lm: 6.607 (6.607) Lt: 5.882 (5.882) Accm: 3.30 (3.30) Acct: 5.13 (5.13) proj_loss: -0.5927 (-0.5927) time: 0.4670 data: 0.0003
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:12:59 tlr: 0.00011 tnm: 0.40 Lm: 6.610 (6.610) Lt: 5.894 (5.894) Accm: 2.88 (2.88) Acct: 4.56 (4.56) proj_loss: -0.5872 (-0.5872) time: 0.4671 data: 0.0004
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:13:29 tlr: 0.00011 tnm: 0.40 Lm: 6.677 (6.677) Lt: 5.997 (5.997) Accm: 2.79 (2.79) Acct: 4.41 (4.41) proj_loss: -0.6081 (-0.6081) time: 0.4852 data: 0.0004
[11-24 22:17:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:12:59 tlr: 0.00011 tnm: 0.40 Lm: 6.680 (6.680) Lt: 5.918 (5.918) Accm: 2.88 (2.88) Acct: 4.96 (4.96) proj_loss: -0.5812 (-0.5812) time: 0.4671 data: 0.0004
[11-24 22:20:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:11:09 tlr: 0.00011 tnm: 0.40 Lm: 6.683 (6.683) Lt: 5.924 (5.924) Accm: 2.98 (2.98) Acct: 4.86 (4.86) proj_loss: -0.5822 (-0.5822) time: 0.4862 data: 0.0003
[11-24 22:20:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:11:09 tlr: 0.00011 tnm: 0.40 Lm: 6.652 (6.652) Lt: 5.933 (5.933) Accm: 2.91 (2.91) Acct: 4.66 (4.66) proj_loss: -0.5980 (-0.5980) time: 0.4862 data: 0.0003
[11-24 22:20:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:11:09 tlr: 0.00011 tnm: 0.40 Lm: 6.578 (6.578) Lt: 5.828 (5.828) Accm: 3.09 (3.09) Acct: 4.88 (4.88) proj_loss: -0.5856 (-0.5856) time: 0.4862 data: 0.0003
[11-24 22:20:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:11:09 tlr: 0.00011 tnm: 0.40 Lm: 6.580 (6.580) Lt: 5.873 (5.873) Accm: 3.17 (3.17) Acct: 4.98 (4.98) proj_loss: -0.5927 (-0.5927) time: 0.4862 data: 0.0003
[11-24 22:24:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:07:12 tlr: 0.00011 tnm: 0.43 Lm: 6.582 (6.580) Lt: 5.865 (5.847) Accm: 3.13 (3.16) Acct: 4.87 (4.95) proj_loss: -0.5927 (-0.5925) time: 0.4894 data: 0.0003
[11-24 22:24:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:07:12 tlr: 0.00011 tnm: 0.43 Lm: 6.635 (6.646) Lt: 5.869 (5.897) Accm: 3.04 (3.01) Acct: 4.91 (4.92) proj_loss: -0.6078 (-0.6013) time: 0.4895 data: 0.0002
[11-24 22:24:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:07:12 tlr: 0.00011 tnm: 0.43 Lm: 6.555 (6.570) Lt: 5.849 (5.835) Accm: 3.12 (3.10) Acct: 5.20 (5.00) proj_loss: -0.5872 (-0.5964) time: 0.4895 data: 0.0003
[11-24 22:24:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:07:12 tlr: 0.00011 tnm: 0.43 Lm: 6.686 (6.699) Lt: 5.929 (5.952) Accm: 2.88 (2.84) Acct: 4.77 (4.64) proj_loss: -0.5833 (-0.5845) time: 0.4895 data: 0.0003
[11-24 22:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:03:32 tlr: 0.00011 tnm: 0.40 Lm: 6.683 (6.668) Lt: 5.924 (5.938) Accm: 2.98 (2.98) Acct: 4.86 (4.78) proj_loss: -0.5861 (-0.5914) time: 0.4901 data: 0.0003
[11-24 22:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:03:32 tlr: 0.00011 tnm: 0.40 Lm: 6.567 (6.552) Lt: 5.830 (5.827) Accm: 3.22 (3.25) Acct: 5.00 (5.06) proj_loss: -0.5927 (-0.5967) time: 0.4901 data: 0.0003
[11-24 22:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:03:32 tlr: 0.00011 tnm: 0.40 Lm: 6.656 (6.659) Lt: 5.908 (5.909) Accm: 2.91 (2.94) Acct: 4.66 (4.78) proj_loss: -0.6029 (-0.6005) time: 0.4901 data: 0.0003
[11-24 22:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:03:32 tlr: 0.00011 tnm: 0.40 Lm: 6.582 (6.597) Lt: 5.872 (5.868) Accm: 3.02 (3.06) Acct: 4.88 (4.88) proj_loss: -0.5993 (-0.6001) time: 0.4901 data: 0.0003
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.610 (6.607) Lt: 5.866 (5.868) Accm: 3.12 (3.11) Acct: 5.20 (4.96) proj_loss: -0.6040 (-0.6009) time: 0.4932 data: 0.0021
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:14:02 (0.505 s / it)
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.582 (6.571) Lt: 5.865 (5.844) Accm: 3.13 (3.15) Acct: 4.87 (4.93) proj_loss: -0.5927 (-0.5957) time: 0.4932 data: 0.0015
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.635 (6.639) Lt: 5.869 (5.891) Accm: 3.04 (2.96) Acct: 4.63 (4.75) proj_loss: -0.5981 (-0.5986) time: 0.4932 data: 0.0016
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.680 (6.665) Lt: 5.929 (5.953) Accm: 3.04 (2.99) Acct: 4.77 (4.78) proj_loss: -0.5889 (-0.5940) time: 0.4932 data: 0.0018
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:14:02 (0.505 s / it)
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:14:02 (0.505 s / it)
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:14:02 (0.505 s / it)
[11-24 22:31:02] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.619 (6.624), Lt: 5.885 (5.885), Acc m&t: 3.07 4.83, Remain: 1 day, 10:03:12, Finish: 2024-11-25 16:34
[11-24 22:31:02] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.619 (6.624), Lt: 5.885 (5.885), Acc m&t: 3.07 4.83, Remain: 1 day, 10:03:24, Finish: 2024-11-25 16:34
[11-24 22:31:02] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.619 (6.624), Lt: 5.885 (5.885), Acc m&t: 3.07 4.83, Remain: 1 day, 10:03:03, Finish: 2024-11-25 16:34
[11-24 22:31:02] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.619 (6.624), Lt: 5.885 (5.885), Acc m&t: 3.07 4.83, Remain: 1 day, 10:02:51, Finish: 2024-11-25 16:33
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:13:09 tlr: 0.00011 tnm: 0.43 Lm: 6.672 (6.672) Lt: 5.921 (5.921) Accm: 3.09 (3.09) Acct: 4.80 (4.80) proj_loss: -0.5854 (-0.5854) time: 0.4729 data: 0.0003
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:13:05 tlr: 0.00011 tnm: 0.43 Lm: 6.656 (6.656) Lt: 5.907 (5.907) Accm: 3.16 (3.16) Acct: 5.10 (5.10) proj_loss: -0.5868 (-0.5868) time: 0.4709 data: 0.0003
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:13:11 tlr: 0.00011 tnm: 0.43 Lm: 6.556 (6.556) Lt: 5.822 (5.822) Accm: 3.33 (3.33) Acct: 5.11 (5.11) proj_loss: -0.5832 (-0.5832) time: 0.4744 data: 0.0004
[11-24 22:31:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:13:12 tlr: 0.00011 tnm: 0.43 Lm: 6.625 (6.625) Lt: 5.854 (5.854) Accm: 3.38 (3.38) Acct: 5.46 (5.46) proj_loss: -0.5962 (-0.5962) time: 0.4747 data: 0.0004
[11-24 22:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:10:21 tlr: 0.00011 tnm: 0.39 Lm: 6.635 (6.635) Lt: 5.881 (5.881) Accm: 3.09 (3.09) Acct: 4.88 (4.88) proj_loss: -0.6018 (-0.6018) time: 0.5396 data: 0.0003
[11-24 22:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:10:21 tlr: 0.00011 tnm: 0.39 Lm: 6.666 (6.666) Lt: 5.934 (5.934) Accm: 3.04 (3.04) Acct: 4.74 (4.74) proj_loss: -0.5879 (-0.5879) time: 0.5396 data: 0.0003
[11-24 22:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:10:21 tlr: 0.00011 tnm: 0.39 Lm: 6.679 (6.679) Lt: 5.968 (5.968) Accm: 3.06 (3.06) Acct: 4.71 (4.71) proj_loss: -0.5959 (-0.5959) time: 0.5396 data: 0.0003
[11-24 22:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:10:21 tlr: 0.00011 tnm: 0.39 Lm: 6.589 (6.589) Lt: 5.837 (5.837) Accm: 3.30 (3.30) Acct: 5.17 (5.17) proj_loss: -0.5944 (-0.5944) time: 0.5397 data: 0.0003
[11-24 22:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:06:58 tlr: 0.00011 tnm: 0.42 Lm: 6.625 (6.608) Lt: 5.854 (5.863) Accm: 3.23 (3.14) Acct: 4.89 (4.94) proj_loss: -0.5962 (-0.5955) time: 0.4878 data: 0.0003
[11-24 22:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:06:58 tlr: 0.00011 tnm: 0.42 Lm: 6.659 (6.660) Lt: 5.928 (5.932) Accm: 3.00 (3.03) Acct: 4.68 (4.64) proj_loss: -0.5889 (-0.5882) time: 0.4877 data: 0.0002
[11-24 22:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:06:58 tlr: 0.00011 tnm: 0.42 Lm: 6.702 (6.657) Lt: 5.940 (5.927) Accm: 2.85 (3.00) Acct: 4.65 (4.70) proj_loss: -0.6018 (-0.6018) time: 0.4878 data: 0.0003
[11-24 22:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:06:58 tlr: 0.00011 tnm: 0.42 Lm: 6.656 (6.644) Lt: 5.907 (5.921) Accm: 3.01 (3.04) Acct: 4.87 (4.76) proj_loss: -0.5916 (-0.5945) time: 0.4878 data: 0.0003
[11-24 22:41:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:03:33 tlr: 0.00011 tnm: 0.40 Lm: 6.626 (6.632) Lt: 5.903 (5.916) Accm: 2.99 (3.03) Acct: 4.60 (4.65) proj_loss: -0.5984 (-0.5974) time: 0.4889 data: 0.0003
[11-24 22:41:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:03:33 tlr: 0.00011 tnm: 0.40 Lm: 6.654 (6.621) Lt: 5.924 (5.879) Accm: 3.04 (3.14) Acct: 4.74 (4.85) proj_loss: -0.5896 (-0.5913) time: 0.4889 data: 0.0003
[11-24 22:41:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:03:33 tlr: 0.00011 tnm: 0.40 Lm: 6.631 (6.633) Lt: 5.881 (5.890) Accm: 3.03 (3.05) Acct: 4.88 (4.86) proj_loss: -0.5925 (-0.5961) time: 0.4889 data: 0.0003
[11-24 22:41:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:03:33 tlr: 0.00011 tnm: 0.40 Lm: 6.589 (6.586) Lt: 5.837 (5.838) Accm: 3.30 (3.21) Acct: 5.17 (5.08) proj_loss: -0.5968 (-0.5960) time: 0.4889 data: 0.0003
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.554 (6.579) Lt: 5.821 (5.825) Accm: 3.23 (3.20) Acct: 5.13 (5.09) proj_loss: -0.5962 (-0.5946) time: 0.4920 data: 0.0019
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:14:09 (0.509 s / it)
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.559 (6.605) Lt: 5.822 (5.859) Accm: 3.21 (3.13) Acct: 5.11 (4.94) proj_loss: -0.6018 (-0.5986) time: 0.4920 data: 0.0016
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.656 (6.664) Lt: 5.907 (5.943) Accm: 2.97 (2.94) Acct: 4.32 (4.57) proj_loss: -0.5916 (-0.5959) time: 0.4920 data: 0.0023
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.659 (6.665) Lt: 5.928 (5.933) Accm: 3.00 (3.01) Acct: 4.68 (4.68) proj_loss: -0.5889 (-0.5902) time: 0.4920 data: 0.0015
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:14:09 (0.509 s / it)
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:14:09 (0.509 s / it)
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:14:09 (0.509 s / it)
[11-24 22:45:12] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.619 (6.626), Lt: 5.885 (5.891), Acc m&t: 3.07 4.83, Remain: 1 day, 9:47:05, Finish: 2024-11-25 16:32
[11-24 22:45:12] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.619 (6.626), Lt: 5.885 (5.891), Acc m&t: 3.07 4.83, Remain: 1 day, 9:46:48, Finish: 2024-11-25 16:31
[11-24 22:45:12] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.619 (6.626), Lt: 5.885 (5.891), Acc m&t: 3.07 4.83, Remain: 1 day, 9:47:40, Finish: 2024-11-25 16:32
[11-24 22:45:12] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.619 (6.626), Lt: 5.885 (5.891), Acc m&t: 3.07 4.83, Remain: 1 day, 9:47:32, Finish: 2024-11-25 16:32
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:13:12 tlr: 0.00011 tnm: 0.39 Lm: 6.521 (6.521) Lt: 5.783 (5.783) Accm: 3.31 (3.31) Acct: 5.13 (5.13) proj_loss: -0.5943 (-0.5943) time: 0.4750 data: 0.0004
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:13:11 tlr: 0.00011 tnm: 0.39 Lm: 6.677 (6.677) Lt: 5.873 (5.873) Accm: 2.88 (2.88) Acct: 5.03 (5.03) proj_loss: -0.5662 (-0.5662) time: 0.4740 data: 0.0003
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:13:19 tlr: 0.00011 tnm: 0.39 Lm: 6.684 (6.684) Lt: 5.945 (5.945) Accm: 2.70 (2.70) Acct: 4.53 (4.53) proj_loss: -0.6205 (-0.6205) time: 0.4791 data: 0.0004
[11-24 22:45:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:13:11 tlr: 0.00011 tnm: 0.39 Lm: 6.714 (6.714) Lt: 5.943 (5.943) Accm: 2.70 (2.70) Acct: 4.53 (4.53) proj_loss: -0.5853 (-0.5853) time: 0.4744 data: 0.0004
[11-24 22:48:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.41 Lm: 6.658 (6.658) Lt: 5.904 (5.904) Accm: 2.82 (2.82) Acct: 4.52 (4.52) proj_loss: -0.5806 (-0.5806) time: 0.4915 data: 0.0003
[11-24 22:48:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.41 Lm: 6.592 (6.592) Lt: 5.832 (5.832) Accm: 3.22 (3.22) Acct: 5.26 (5.26) proj_loss: -0.5778 (-0.5778) time: 0.4915 data: 0.0002
[11-24 22:48:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.41 Lm: 6.659 (6.659) Lt: 5.931 (5.931) Accm: 2.82 (2.82) Acct: 4.61 (4.61) proj_loss: -0.5985 (-0.5985) time: 0.4915 data: 0.0003
[11-24 22:48:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:10:12 tlr: 0.00011 tnm: 0.41 Lm: 6.513 (6.513) Lt: 5.745 (5.745) Accm: 3.32 (3.32) Acct: 5.27 (5.27) proj_loss: -0.5822 (-0.5822) time: 0.4915 data: 0.0003
[11-24 22:52:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:06:48 tlr: 0.00011 tnm: 0.40 Lm: 6.521 (6.536) Lt: 5.783 (5.783) Accm: 3.31 (3.25) Acct: 5.13 (5.03) proj_loss: -0.5799 (-0.5815) time: 0.4894 data: 0.0003
[11-24 22:52:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:06:48 tlr: 0.00011 tnm: 0.40 Lm: 6.669 (6.618) Lt: 5.873 (5.864) Accm: 2.88 (3.03) Acct: 5.03 (4.90) proj_loss: -0.5891 (-0.5816) time: 0.4894 data: 0.0002
[11-24 22:52:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:06:48 tlr: 0.00011 tnm: 0.40 Lm: 6.603 (6.633) Lt: 5.874 (5.894) Accm: 2.94 (2.93) Acct: 4.53 (4.58) proj_loss: -0.5853 (-0.5941) time: 0.4894 data: 0.0003
[11-24 22:52:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:06:48 tlr: 0.00011 tnm: 0.40 Lm: 6.652 (6.656) Lt: 5.930 (5.930) Accm: 2.88 (2.84) Acct: 4.53 (4.55) proj_loss: -0.6001 (-0.5990) time: 0.4894 data: 0.0003
[11-24 22:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.39 Lm: 6.642 (6.650) Lt: 5.923 (5.918) Accm: 2.91 (2.91) Acct: 4.61 (4.64) proj_loss: -0.5935 (-0.5960) time: 0.4919 data: 0.0003
[11-24 22:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.39 Lm: 6.616 (6.604) Lt: 5.855 (5.857) Accm: 2.98 (3.04) Acct: 5.04 (4.94) proj_loss: -0.5879 (-0.5829) time: 0.4919 data: 0.0003
[11-24 22:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.39 Lm: 6.658 (6.661) Lt: 5.909 (5.931) Accm: 2.89 (2.91) Acct: 4.52 (4.54) proj_loss: -0.5869 (-0.5927) time: 0.4919 data: 0.0003
[11-24 22:55:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:03:24 tlr: 0.00011 tnm: 0.39 Lm: 6.537 (6.540) Lt: 5.801 (5.792) Accm: 3.32 (3.27) Acct: 5.19 (5.08) proj_loss: -0.5784 (-0.5803) time: 0.4919 data: 0.0003
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.553 (6.564) Lt: 5.820 (5.830) Accm: 3.31 (3.19) Acct: 5.13 (5.00) proj_loss: -0.5799 (-0.5883) time: 0.5462 data: 0.0019
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:13:56 (0.501 s / it)
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.573 (6.598) Lt: 5.838 (5.854) Accm: 3.08 (3.12) Acct: 5.06 (5.00) proj_loss: -0.5891 (-0.5847) time: 0.5462 data: 0.0013
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.633 (6.614) Lt: 5.916 (5.864) Accm: 2.94 (3.04) Acct: 4.70 (4.92) proj_loss: -0.5868 (-0.5928) time: 0.5462 data: 0.0019
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.607 (6.650) Lt: 5.878 (5.920) Accm: 2.94 (2.94) Acct: 4.53 (4.60) proj_loss: -0.5885 (-0.5923) time: 0.5462 data: 0.0017
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:13:56 (0.501 s / it)
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:13:56 (0.501 s / it)
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:13:56 (0.501 s / it)
[11-24 22:59:08] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.611 (6.611), Lt: 5.873 (5.873), Acc m&t: 3.08 4.86, Remain: 1 day, 9:37:50, Finish: 2024-11-25 16:36
[11-24 22:59:08] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.611 (6.611), Lt: 5.873 (5.873), Acc m&t: 3.08 4.86, Remain: 1 day, 9:37:48, Finish: 2024-11-25 16:36
[11-24 22:59:08] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.611 (6.611), Lt: 5.873 (5.873), Acc m&t: 3.08 4.86, Remain: 1 day, 9:37:40, Finish: 2024-11-25 16:36
[11-24 22:59:08] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.611 (6.611), Lt: 5.873 (5.873), Acc m&t: 3.08 4.86, Remain: 1 day, 9:38:11, Finish: 2024-11-25 16:37
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:13:09 tlr: 0.00011 tnm: 0.39 Lm: 6.629 (6.629) Lt: 5.880 (5.880) Accm: 2.99 (2.99) Acct: 4.82 (4.82) proj_loss: -0.5876 (-0.5876) time: 0.4733 data: 0.0003
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:13:11 tlr: 0.00011 tnm: 0.39 Lm: 6.524 (6.524) Lt: 5.723 (5.723) Accm: 3.19 (3.19) Acct: 5.11 (5.11) proj_loss: -0.5887 (-0.5887) time: 0.4740 data: 0.0004
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:13:10 tlr: 0.00011 tnm: 0.39 Lm: 6.596 (6.596) Lt: 5.851 (5.851) Accm: 3.09 (3.09) Acct: 4.72 (4.72) proj_loss: -0.6059 (-0.6059) time: 0.4738 data: 0.0004
[11-24 22:59:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:13:11 tlr: 0.00011 tnm: 0.39 Lm: 6.742 (6.742) Lt: 6.003 (6.003) Accm: 2.63 (2.63) Acct: 4.48 (4.48) proj_loss: -0.5944 (-0.5944) time: 0.4741 data: 0.0004
[11-24 23:02:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:10:46 tlr: 0.00011 tnm: 0.42 Lm: 6.661 (6.661) Lt: 5.924 (5.924) Accm: 2.96 (2.96) Acct: 4.88 (4.88) proj_loss: -0.5974 (-0.5974) time: 0.5419 data: 0.0003
[11-24 23:02:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:10:46 tlr: 0.00011 tnm: 0.42 Lm: 6.579 (6.579) Lt: 5.810 (5.810) Accm: 3.19 (3.19) Acct: 5.12 (5.12) proj_loss: -0.5843 (-0.5843) time: 0.5419 data: 0.0003
[11-24 23:02:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:10:46 tlr: 0.00011 tnm: 0.42 Lm: 6.577 (6.577) Lt: 5.797 (5.797) Accm: 2.99 (2.99) Acct: 4.92 (4.92) proj_loss: -0.5954 (-0.5954) time: 0.5418 data: 0.0003
[11-24 23:02:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:10:46 tlr: 0.00011 tnm: 0.42 Lm: 6.612 (6.612) Lt: 5.884 (5.884) Accm: 3.09 (3.09) Acct: 4.72 (4.72) proj_loss: -0.6114 (-0.6114) time: 0.5419 data: 0.0003
[11-24 23:06:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:07:02 tlr: 0.00011 tnm: 0.43 Lm: 6.627 (6.638) Lt: 5.916 (5.910) Accm: 3.09 (3.03) Acct: 4.72 (4.67) proj_loss: -0.6059 (-0.6038) time: 0.4927 data: 0.0003
[11-24 23:06:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:07:02 tlr: 0.00011 tnm: 0.43 Lm: 6.742 (6.700) Lt: 6.003 (5.976) Accm: 2.63 (2.81) Acct: 4.48 (4.63) proj_loss: -0.6005 (-0.6028) time: 0.4927 data: 0.0003
[11-24 23:06:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:07:02 tlr: 0.00011 tnm: 0.43 Lm: 6.629 (6.611) Lt: 5.880 (5.840) Accm: 2.99 (3.10) Acct: 4.84 (5.03) proj_loss: -0.5876 (-0.5874) time: 0.4927 data: 0.0002
[11-24 23:06:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:07:02 tlr: 0.00011 tnm: 0.43 Lm: 6.630 (6.602) Lt: 5.870 (5.843) Accm: 3.14 (3.04) Acct: 4.98 (4.94) proj_loss: -0.5887 (-0.5913) time: 0.4927 data: 0.0003
[11-24 23:09:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:03:29 tlr: 0.00011 tnm: 0.42 Lm: 6.577 (6.582) Lt: 5.802 (5.816) Accm: 3.17 (3.15) Acct: 5.04 (5.08) proj_loss: -0.5859 (-0.5882) time: 0.4895 data: 0.0003
[11-24 23:09:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:03:29 tlr: 0.00011 tnm: 0.42 Lm: 6.706 (6.693) Lt: 5.954 (5.958) Accm: 2.78 (2.84) Acct: 4.51 (4.61) proj_loss: -0.5999 (-0.6019) time: 0.4895 data: 0.0003
[11-24 23:09:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:03:29 tlr: 0.00011 tnm: 0.42 Lm: 6.579 (6.575) Lt: 5.810 (5.796) Accm: 3.19 (3.24) Acct: 5.13 (5.21) proj_loss: -0.5904 (-0.5888) time: 0.4895 data: 0.0003
[11-24 23:09:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:03:29 tlr: 0.00011 tnm: 0.42 Lm: 6.634 (6.639) Lt: 5.906 (5.907) Accm: 3.02 (3.01) Acct: 4.72 (4.72) proj_loss: -0.5993 (-0.6011) time: 0.4895 data: 0.0003
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.40 Lm: 6.641 (6.653) Lt: 5.916 (5.919) Accm: 2.94 (2.97) Acct: 4.72 (4.66) proj_loss: -0.5927 (-0.5990) time: 0.4924 data: 0.0020
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:13:52 (0.499 s / it)
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.40 Lm: 6.536 (6.573) Lt: 5.763 (5.805) Accm: 3.18 (3.16) Acct: 4.98 (5.06) proj_loss: -0.5887 (-0.5890) time: 0.4924 data: 0.0020
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.40 Lm: 6.618 (6.583) Lt: 5.855 (5.808) Accm: 3.01 (3.19) Acct: 4.86 (5.14) proj_loss: -0.5932 (-0.5913) time: 0.4924 data: 0.0018
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.40 Lm: 6.670 (6.660) Lt: 5.905 (5.925) Accm: 2.94 (2.90) Acct: 4.55 (4.67) proj_loss: -0.6005 (-0.6031) time: 0.4924 data: 0.0016
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:13:52 (0.499 s / it)
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:13:52 (0.499 s / it)
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:13:52 (0.499 s / it)
[11-24 23:13:01] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.611 (6.618), Lt: 5.873 (5.873), Acc m&t: 3.09 4.87, Remain: 1 day, 9:19:53, Finish: 2024-11-25 16:32
[11-24 23:13:01] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.611 (6.618), Lt: 5.873 (5.873), Acc m&t: 3.09 4.87, Remain: 1 day, 9:19:53, Finish: 2024-11-25 16:32
[11-24 23:13:01] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.611 (6.618), Lt: 5.873 (5.873), Acc m&t: 3.09 4.87, Remain: 1 day, 9:19:06, Finish: 2024-11-25 16:32
[11-24 23:13:01] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.611 (6.618), Lt: 5.873 (5.873), Acc m&t: 3.09 4.87, Remain: 1 day, 9:19:55, Finish: 2024-11-25 16:32
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:12:43 tlr: 0.00011 tnm: 0.41 Lm: 6.659 (6.659) Lt: 5.950 (5.950) Accm: 3.05 (3.05) Acct: 4.44 (4.44) proj_loss: -0.5843 (-0.5843) time: 0.4577 data: 0.0004
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:12:44 tlr: 0.00011 tnm: 0.41 Lm: 6.520 (6.520) Lt: 5.797 (5.797) Accm: 3.29 (3.29) Acct: 5.10 (5.10) proj_loss: -0.5965 (-0.5965) time: 0.4582 data: 0.0004
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:12:51 tlr: 0.00011 tnm: 0.41 Lm: 6.538 (6.538) Lt: 5.781 (5.781) Accm: 3.37 (3.37) Acct: 5.42 (5.42) proj_loss: -0.5674 (-0.5674) time: 0.4624 data: 0.0004
[11-24 23:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:12:50 tlr: 0.00011 tnm: 0.41 Lm: 6.664 (6.664) Lt: 5.967 (5.967) Accm: 2.94 (2.94) Acct: 4.73 (4.73) proj_loss: -0.5811 (-0.5811) time: 0.4616 data: 0.0003
[11-24 23:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:10:36 tlr: 0.00011 tnm: 0.39 Lm: 6.636 (6.636) Lt: 5.910 (5.910) Accm: 3.07 (3.07) Acct: 4.93 (4.93) proj_loss: -0.5797 (-0.5797) time: 0.5438 data: 0.0003
[11-24 23:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:10:36 tlr: 0.00011 tnm: 0.39 Lm: 6.725 (6.725) Lt: 6.048 (6.048) Accm: 2.84 (2.84) Acct: 4.18 (4.18) proj_loss: -0.5992 (-0.5992) time: 0.5438 data: 0.0003
[11-24 23:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:10:36 tlr: 0.00011 tnm: 0.39 Lm: 6.574 (6.574) Lt: 5.868 (5.868) Accm: 3.04 (3.04) Acct: 4.70 (4.70) proj_loss: -0.5936 (-0.5936) time: 0.5438 data: 0.0003
[11-24 23:16:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:10:36 tlr: 0.00011 tnm: 0.39 Lm: 6.561 (6.561) Lt: 5.807 (5.807) Accm: 3.22 (3.22) Acct: 5.15 (5.15) proj_loss: -0.5809 (-0.5809) time: 0.5438 data: 0.0003
[11-24 23:20:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:07:04 tlr: 0.00011 tnm: 0.41 Lm: 6.581 (6.568) Lt: 5.786 (5.800) Accm: 3.17 (3.21) Acct: 5.25 (5.18) proj_loss: -0.5790 (-0.5802) time: 0.5428 data: 0.0003
[11-24 23:20:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:07:04 tlr: 0.00011 tnm: 0.41 Lm: 6.609 (6.612) Lt: 5.854 (5.880) Accm: 2.94 (3.02) Acct: 4.73 (4.84) proj_loss: -0.5811 (-0.5837) time: 0.5428 data: 0.0003
[11-24 23:20:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:07:04 tlr: 0.00011 tnm: 0.41 Lm: 6.598 (6.582) Lt: 5.867 (5.868) Accm: 3.20 (3.09) Acct: 4.96 (4.79) proj_loss: -0.5906 (-0.5924) time: 0.5428 data: 0.0003
[11-24 23:20:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:07:04 tlr: 0.00011 tnm: 0.41 Lm: 6.674 (6.708) Lt: 6.001 (6.032) Accm: 2.88 (2.85) Acct: 4.17 (4.18) proj_loss: -0.6001 (-0.5995) time: 0.5428 data: 0.0003
[11-24 23:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:03:35 tlr: 0.00011 tnm: 0.41 Lm: 6.667 (6.607) Lt: 5.976 (5.907) Accm: 2.97 (3.08) Acct: 4.30 (4.63) proj_loss: -0.6006 (-0.5999) time: 0.4896 data: 0.0003
[11-24 23:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:03:35 tlr: 0.00011 tnm: 0.41 Lm: 6.636 (6.633) Lt: 5.910 (5.904) Accm: 2.93 (2.99) Acct: 4.70 (4.78) proj_loss: -0.5863 (-0.5905) time: 0.4896 data: 0.0003
[11-24 23:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:03:35 tlr: 0.00011 tnm: 0.41 Lm: 6.613 (6.604) Lt: 5.900 (5.884) Accm: 3.14 (3.09) Acct: 4.85 (4.77) proj_loss: -0.5903 (-0.5843) time: 0.4896 data: 0.0003
[11-24 23:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:03:35 tlr: 0.00011 tnm: 0.41 Lm: 6.582 (6.596) Lt: 5.809 (5.824) Accm: 3.13 (3.09) Acct: 5.06 (5.02) proj_loss: -0.5867 (-0.5863) time: 0.4896 data: 0.0003
[11-24 23:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.581 (6.583) Lt: 5.786 (5.801) Accm: 3.17 (3.11) Acct: 5.10 (5.04) proj_loss: -0.5878 (-0.5866) time: 0.5483 data: 0.0016
[11-24 23:27:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:14:12 (0.511 s / it)
[11-24 23:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.628 (6.617) Lt: 5.933 (5.896) Accm: 3.07 (3.08) Acct: 4.86 (4.79) proj_loss: -0.5906 (-0.5920) time: 0.5483 data: 0.0016
[11-24 23:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.609 (6.628) Lt: 5.854 (5.892) Accm: 2.94 (3.06) Acct: 4.73 (4.89) proj_loss: -0.5869 (-0.5898) time: 0.5483 data: 0.0020
[11-24 23:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.38 Lm: 6.659 (6.615) Lt: 5.950 (5.909) Accm: 2.88 (3.00) Acct: 4.27 (4.56) proj_loss: -0.6001 (-0.5965) time: 0.5484 data: 0.0019
[11-24 23:27:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:14:12 (0.511 s / it)
[11-24 23:27:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:14:12 (0.511 s / it)
[11-24 23:27:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:14:12 (0.511 s / it)
[11-24 23:27:13] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.611 (6.618), Lt: 5.873 (5.877), Acc m&t: 3.09 4.87, Remain: 1 day, 9:09:42, Finish: 2024-11-25 16:36
[11-24 23:27:13] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.611 (6.618), Lt: 5.873 (5.877), Acc m&t: 3.09 4.87, Remain: 1 day, 9:09:14, Finish: 2024-11-25 16:36
[11-24 23:27:13] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.611 (6.618), Lt: 5.873 (5.877), Acc m&t: 3.09 4.87, Remain: 1 day, 9:09:45, Finish: 2024-11-25 16:36
[11-24 23:27:13] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.611 (6.618), Lt: 5.873 (5.877), Acc m&t: 3.09 4.87, Remain: 1 day, 9:09:17, Finish: 2024-11-25 16:36
[11-24 23:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:13:16 tlr: 0.00011 tnm: 0.40 Lm: 6.812 (6.812) Lt: 6.117 (6.117) Accm: 2.63 (2.63) Acct: 4.05 (4.05) proj_loss: -0.5891 (-0.5891) time: 0.4774 data: 0.0004
[11-24 23:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:13:15 tlr: 0.00011 tnm: 0.40 Lm: 6.648 (6.648) Lt: 5.914 (5.914) Accm: 3.00 (3.00) Acct: 4.56 (4.56) proj_loss: -0.5902 (-0.5902) time: 0.4768 data: 0.0004
[11-24 23:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:13:16 tlr: 0.00011 tnm: 0.40 Lm: 6.613 (6.613) Lt: 5.851 (5.851) Accm: 3.35 (3.35) Acct: 5.15 (5.15) proj_loss: -0.5951 (-0.5951) time: 0.4771 data: 0.0004
[11-24 23:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:13:16 tlr: 0.00011 tnm: 0.40 Lm: 6.702 (6.702) Lt: 5.993 (5.993) Accm: 2.91 (2.91) Acct: 4.79 (4.79) proj_loss: -0.6034 (-0.6034) time: 0.4771 data: 0.0004
[11-24 23:30:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.39 Lm: 6.611 (6.611) Lt: 5.869 (5.869) Accm: 2.97 (2.97) Acct: 4.92 (4.92) proj_loss: -0.6028 (-0.6028) time: 0.4934 data: 0.0003
[11-24 23:30:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.39 Lm: 6.685 (6.685) Lt: 5.952 (5.952) Accm: 2.86 (2.86) Acct: 4.41 (4.41) proj_loss: -0.5938 (-0.5938) time: 0.4935 data: 0.0003
[11-24 23:30:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.39 Lm: 6.678 (6.678) Lt: 5.930 (5.930) Accm: 2.89 (2.89) Acct: 4.44 (4.44) proj_loss: -0.5896 (-0.5896) time: 0.4935 data: 0.0003
[11-24 23:30:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:10:14 tlr: 0.00011 tnm: 0.39 Lm: 6.587 (6.587) Lt: 5.819 (5.819) Accm: 3.30 (3.30) Acct: 5.04 (5.04) proj_loss: -0.5982 (-0.5982) time: 0.4935 data: 0.0003
[11-24 23:34:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.41 Lm: 6.560 (6.571) Lt: 5.813 (5.817) Accm: 3.30 (3.30) Acct: 4.92 (4.98) proj_loss: -0.6013 (-0.6021) time: 0.4889 data: 0.0003
[11-24 23:34:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.41 Lm: 6.520 (6.569) Lt: 5.753 (5.830) Accm: 3.03 (3.15) Acct: 5.04 (4.98) proj_loss: -0.6021 (-0.5939) time: 0.4889 data: 0.0003
[11-24 23:34:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.41 Lm: 6.559 (6.623) Lt: 5.788 (5.867) Accm: 3.10 (3.05) Acct: 4.77 (4.74) proj_loss: -0.5906 (-0.5927) time: 0.4889 data: 0.0003
[11-24 23:34:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:06:49 tlr: 0.00011 tnm: 0.41 Lm: 6.648 (6.667) Lt: 5.914 (5.917) Accm: 2.94 (2.90) Acct: 4.56 (4.51) proj_loss: -0.5902 (-0.5899) time: 0.4889 data: 0.0003
[11-24 23:37:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:03:25 tlr: 0.00011 tnm: 0.41 Lm: 6.662 (6.669) Lt: 5.903 (5.908) Accm: 2.95 (2.92) Acct: 4.60 (4.63) proj_loss: -0.5896 (-0.5875) time: 0.4885 data: 0.0003
[11-24 23:37:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:03:25 tlr: 0.00011 tnm: 0.41 Lm: 6.579 (6.587) Lt: 5.851 (5.860) Accm: 2.97 (3.05) Acct: 4.92 (4.80) proj_loss: -0.5971 (-0.5934) time: 0.4885 data: 0.0003
[11-24 23:37:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:03:25 tlr: 0.00011 tnm: 0.41 Lm: 6.587 (6.590) Lt: 5.832 (5.851) Accm: 3.27 (3.21) Acct: 4.89 (4.92) proj_loss: -0.6030 (-0.6028) time: 0.4886 data: 0.0003
[11-24 23:37:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:03:25 tlr: 0.00011 tnm: 0.41 Lm: 6.571 (6.614) Lt: 5.814 (5.860) Accm: 3.13 (3.08) Acct: 4.95 (4.84) proj_loss: -0.5945 (-0.5958) time: 0.4886 data: 0.0003
[11-24 23:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.559 (6.559) Lt: 5.788 (5.815) Accm: 3.15 (3.26) Acct: 5.13 (5.07) proj_loss: -0.5985 (-0.5994) time: 0.4907 data: 0.0018
[11-24 23:41:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:14:05 (0.506 s / it)
[11-24 23:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.648 (6.664) Lt: 5.896 (5.906) Accm: 2.97 (2.95) Acct: 4.63 (4.68) proj_loss: -0.5902 (-0.5889) time: 0.4907 data: 0.0013
[11-24 23:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.625 (6.594) Lt: 5.872 (5.862) Accm: 3.03 (3.07) Acct: 4.87 (4.81) proj_loss: -0.5920 (-0.5919) time: 0.4907 data: 0.0018
[11-24 23:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.613 (6.614) Lt: 5.851 (5.870) Accm: 3.24 (3.14) Acct: 4.86 (4.84) proj_loss: -0.6013 (-0.5989) time: 0.4907 data: 0.0018
[11-24 23:41:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:14:05 (0.506 s / it)
[11-24 23:41:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:14:05 (0.506 s / it)
[11-24 23:41:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:14:05 (0.506 s / it)
[11-24 23:41:18] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.611 (6.619), Lt: 5.873 (5.885), Acc m&t: 3.09 4.87, Remain: 1 day, 8:58:54, Finish: 2024-11-25 16:40
[11-24 23:41:18] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.611 (6.619), Lt: 5.873 (5.885), Acc m&t: 3.09 4.87, Remain: 1 day, 8:58:05, Finish: 2024-11-25 16:39
[11-24 23:41:18] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.611 (6.619), Lt: 5.873 (5.885), Acc m&t: 3.09 4.87, Remain: 1 day, 8:58:20, Finish: 2024-11-25 16:39
[11-24 23:41:18] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.611 (6.619), Lt: 5.873 (5.885), Acc m&t: 3.09 4.87, Remain: 1 day, 8:58:26, Finish: 2024-11-25 16:39
[11-24 23:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:12:59 tlr: 0.00011 tnm: 0.40 Lm: 6.637 (6.637) Lt: 5.958 (5.958) Accm: 3.07 (3.07) Acct: 4.73 (4.73) proj_loss: -0.5987 (-0.5987) time: 0.4670 data: 0.0003
[11-24 23:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:12:59 tlr: 0.00011 tnm: 0.40 Lm: 6.567 (6.567) Lt: 5.822 (5.822) Accm: 3.21 (3.21) Acct: 5.17 (5.17) proj_loss: -0.5967 (-0.5967) time: 0.4672 data: 0.0004
[11-24 23:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:12:59 tlr: 0.00011 tnm: 0.40 Lm: 6.574 (6.574) Lt: 5.898 (5.898) Accm: 3.02 (3.02) Acct: 4.29 (4.29) proj_loss: -0.6225 (-0.6225) time: 0.4669 data: 0.0003
[11-24 23:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:12:58 tlr: 0.00011 tnm: 0.40 Lm: 6.523 (6.523) Lt: 5.800 (5.800) Accm: 3.04 (3.04) Acct: 4.63 (4.63) proj_loss: -0.6036 (-0.6036) time: 0.4663 data: 0.0004
[11-24 23:44:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:10:31 tlr: 0.00011 tnm: 0.40 Lm: 6.497 (6.497) Lt: 5.758 (5.758) Accm: 3.40 (3.40) Acct: 5.27 (5.27) proj_loss: -0.5933 (-0.5933) time: 0.5402 data: 0.0003
[11-24 23:44:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:10:31 tlr: 0.00011 tnm: 0.40 Lm: 6.532 (6.532) Lt: 5.798 (5.798) Accm: 3.20 (3.20) Acct: 5.14 (5.14) proj_loss: -0.6001 (-0.6001) time: 0.5402 data: 0.0003
[11-24 23:44:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:10:31 tlr: 0.00011 tnm: 0.40 Lm: 6.612 (6.612) Lt: 5.941 (5.941) Accm: 3.10 (3.10) Acct: 4.79 (4.79) proj_loss: -0.6084 (-0.6084) time: 0.5402 data: 0.0003
[11-24 23:44:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:10:31 tlr: 0.00011 tnm: 0.40 Lm: 6.584 (6.584) Lt: 5.865 (5.865) Accm: 3.02 (3.02) Acct: 4.25 (4.25) proj_loss: -0.6092 (-0.6092) time: 0.5403 data: 0.0003
[11-24 23:48:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:06:55 tlr: 0.00011 tnm: 0.41 Lm: 6.594 (6.657) Lt: 5.898 (5.949) Accm: 3.01 (2.83) Acct: 4.22 (4.16) proj_loss: -0.5959 (-0.6025) time: 0.4898 data: 0.0003
[11-24 23:48:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:06:55 tlr: 0.00011 tnm: 0.41 Lm: 6.523 (6.570) Lt: 5.800 (5.822) Accm: 3.04 (3.20) Acct: 4.63 (4.98) proj_loss: -0.5873 (-0.5913) time: 0.4898 data: 0.0003
[11-24 23:48:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:06:55 tlr: 0.00011 tnm: 0.41 Lm: 6.637 (6.676) Lt: 5.958 (5.980) Accm: 3.07 (2.93) Acct: 4.73 (4.71) proj_loss: -0.5987 (-0.6000) time: 0.4898 data: 0.0003
[11-24 23:48:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:06:55 tlr: 0.00011 tnm: 0.41 Lm: 6.498 (6.509) Lt: 5.774 (5.775) Accm: 3.21 (3.40) Acct: 5.17 (5.45) proj_loss: -0.5967 (-0.5932) time: 0.4898 data: 0.0003
[11-24 23:51:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:03:26 tlr: 0.00011 tnm: 0.39 Lm: 6.532 (6.533) Lt: 5.798 (5.795) Accm: 3.20 (3.29) Acct: 5.14 (5.25) proj_loss: -0.5941 (-0.5927) time: 0.4892 data: 0.0003
[11-24 23:51:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:03:26 tlr: 0.00011 tnm: 0.39 Lm: 6.497 (6.531) Lt: 5.758 (5.780) Accm: 3.32 (3.30) Acct: 5.03 (5.09) proj_loss: -0.5896 (-0.5914) time: 0.4892 data: 0.0003
[11-24 23:51:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:03:26 tlr: 0.00011 tnm: 0.39 Lm: 6.584 (6.626) Lt: 5.870 (5.922) Accm: 3.02 (2.96) Acct: 4.25 (4.44) proj_loss: -0.6006 (-0.6032) time: 0.4892 data: 0.0003
[11-24 23:51:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:03:26 tlr: 0.00011 tnm: 0.39 Lm: 6.701 (6.698) Lt: 6.007 (5.999) Accm: 2.84 (2.81) Acct: 4.65 (4.53) proj_loss: -0.5960 (-0.5983) time: 0.4892 data: 0.0003
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.645 (6.687) Lt: 5.958 (5.973) Accm: 2.80 (2.81) Acct: 4.56 (4.49) proj_loss: -0.5934 (-0.5952) time: 0.4973 data: 0.0018
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:13:46 (0.495 s / it)
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.567 (6.562) Lt: 5.822 (5.832) Accm: 3.19 (3.20) Acct: 5.11 (5.08) proj_loss: -0.5965 (-0.5935) time: 0.4973 data: 0.0017
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.523 (6.557) Lt: 5.800 (5.805) Accm: 3.04 (3.22) Acct: 4.73 (5.02) proj_loss: -0.5873 (-0.5889) time: 0.4973 data: 0.0017
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.39 Lm: 6.574 (6.606) Lt: 5.842 (5.903) Accm: 3.02 (3.03) Acct: 4.29 (4.62) proj_loss: -0.6053 (-0.6048) time: 0.4973 data: 0.0019
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:13:46 (0.495 s / it)
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:13:46 (0.495 s / it)
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:13:46 (0.495 s / it)
[11-24 23:55:05] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.611 (6.621), Lt: 5.873 (5.884), Acc m&t: 3.09 4.87, Remain: 1 day, 8:51:30, Finish: 2024-11-25 16:46
[11-24 23:55:05] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.611 (6.621), Lt: 5.873 (5.884), Acc m&t: 3.09 4.87, Remain: 1 day, 8:51:24, Finish: 2024-11-25 16:46
[11-24 23:55:05] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.611 (6.621), Lt: 5.873 (5.884), Acc m&t: 3.09 4.87, Remain: 1 day, 8:51:37, Finish: 2024-11-25 16:46
[11-24 23:55:05] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.611 (6.621), Lt: 5.873 (5.884), Acc m&t: 3.09 4.87, Remain: 1 day, 8:51:41, Finish: 2024-11-25 16:46
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:13:10 tlr: 0.00011 tnm: 0.40 Lm: 6.617 (6.617) Lt: 5.924 (5.924) Accm: 3.37 (3.37) Acct: 5.04 (5.04) proj_loss: -0.5941 (-0.5941) time: 0.4737 data: 0.0003
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:13:10 tlr: 0.00011 tnm: 0.40 Lm: 6.668 (6.668) Lt: 5.961 (5.961) Accm: 2.88 (2.88) Acct: 4.61 (4.61) proj_loss: -0.5905 (-0.5905) time: 0.4736 data: 0.0004
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:13:11 tlr: 0.00011 tnm: 0.40 Lm: 6.629 (6.629) Lt: 5.889 (5.889) Accm: 3.08 (3.08) Acct: 4.70 (4.70) proj_loss: -0.5982 (-0.5982) time: 0.4743 data: 0.0004
[11-24 23:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:13:11 tlr: 0.00011 tnm: 0.40 Lm: 6.609 (6.609) Lt: 5.877 (5.877) Accm: 3.05 (3.05) Acct: 4.53 (4.53) proj_loss: -0.6067 (-0.6067) time: 0.4740 data: 0.0003
[11-24 23:58:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:10:42 tlr: 0.00011 tnm: 0.41 Lm: 6.541 (6.541) Lt: 5.782 (5.782) Accm: 3.25 (3.25) Acct: 5.13 (5.13) proj_loss: -0.5982 (-0.5982) time: 0.4918 data: 0.0003
[11-24 23:58:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:10:42 tlr: 0.00011 tnm: 0.41 Lm: 6.613 (6.613) Lt: 5.877 (5.877) Accm: 3.04 (3.04) Acct: 4.88 (4.88) proj_loss: -0.5975 (-0.5975) time: 0.4918 data: 0.0003
[11-24 23:58:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:10:42 tlr: 0.00011 tnm: 0.41 Lm: 6.567 (6.567) Lt: 5.852 (5.852) Accm: 3.39 (3.39) Acct: 5.11 (5.11) proj_loss: -0.5946 (-0.5946) time: 0.4918 data: 0.0003
[11-24 23:58:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:10:42 tlr: 0.00011 tnm: 0.41 Lm: 6.659 (6.659) Lt: 5.943 (5.943) Accm: 3.06 (3.06) Acct: 4.70 (4.70) proj_loss: -0.5870 (-0.5870) time: 0.4918 data: 0.0003
[11-25 00:02:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:07:11 tlr: 0.00011 tnm: 0.39 Lm: 6.689 (6.721) Lt: 5.997 (6.011) Accm: 3.03 (2.86) Acct: 4.70 (4.48) proj_loss: -0.5967 (-0.5902) time: 0.5379 data: 0.0003
[11-25 00:02:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:07:11 tlr: 0.00011 tnm: 0.39 Lm: 6.609 (6.571) Lt: 5.877 (5.819) Accm: 3.05 (3.12) Acct: 4.56 (4.94) proj_loss: -0.5928 (-0.5964) time: 0.5379 data: 0.0003
[11-25 00:02:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:07:11 tlr: 0.00011 tnm: 0.39 Lm: 6.558 (6.572) Lt: 5.793 (5.805) Accm: 3.21 (3.15) Acct: 5.15 (5.11) proj_loss: -0.5905 (-0.5942) time: 0.5379 data: 0.0003
[11-25 00:02:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:07:11 tlr: 0.00011 tnm: 0.39 Lm: 6.617 (6.610) Lt: 5.924 (5.912) Accm: 3.37 (3.21) Acct: 5.04 (4.87) proj_loss: -0.5941 (-0.5937) time: 0.5379 data: 0.0003
[11-25 00:05:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:03:36 tlr: 0.00011 tnm: 0.41 Lm: 6.629 (6.618) Lt: 5.907 (5.907) Accm: 3.15 (3.14) Acct: 4.97 (4.88) proj_loss: -0.5930 (-0.5903) time: 0.4933 data: 0.0003
[11-25 00:05:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:03:36 tlr: 0.00011 tnm: 0.41 Lm: 6.617 (6.584) Lt: 5.880 (5.835) Accm: 3.12 (3.13) Acct: 4.82 (4.98) proj_loss: -0.5913 (-0.5932) time: 0.4933 data: 0.0003
[11-25 00:05:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:03:36 tlr: 0.00011 tnm: 0.41 Lm: 6.700 (6.718) Lt: 5.989 (6.003) Accm: 2.97 (2.87) Acct: 4.67 (4.52) proj_loss: -0.5881 (-0.5875) time: 0.4933 data: 0.0003
[11-25 00:05:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:03:36 tlr: 0.00011 tnm: 0.41 Lm: 6.613 (6.601) Lt: 5.877 (5.852) Accm: 3.04 (3.08) Acct: 4.88 (4.97) proj_loss: -0.5975 (-0.5979) time: 0.4933 data: 0.0002
[11-25 00:09:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.41 Lm: 6.630 (6.607) Lt: 5.918 (5.865) Accm: 2.91 (3.04) Acct: 4.70 (4.91) proj_loss: -0.5978 (-0.5978) time: 0.4920 data: 0.0019
[11-25 00:09:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:14:13 (0.511 s / it)
[11-25 00:09:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.41 Lm: 6.710 (6.724) Lt: 5.997 (6.013) Accm: 2.91 (2.82) Acct: 4.65 (4.43) proj_loss: -0.5967 (-0.5908) time: 0.4919 data: 0.0018
[11-25 00:09:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.41 Lm: 6.609 (6.578) Lt: 5.877 (5.830) Accm: 3.19 (3.17) Acct: 5.06 (4.99) proj_loss: -0.5928 (-0.5978) time: 0.4919 data: 0.0019
[11-25 00:09:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.41 Lm: 6.641 (6.638) Lt: 5.924 (5.931) Accm: 2.94 (3.02) Acct: 4.89 (4.65) proj_loss: -0.5920 (-0.5894) time: 0.4919 data: 0.0019
[11-25 00:09:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:14:13 (0.511 s / it)
[11-25 00:09:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:14:13 (0.511 s / it)
[11-25 00:09:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:14:13 (0.511 s / it)
[11-25 00:09:18] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.611 (6.629), Lt: 5.873 (5.895), Acc m&t: 3.09 4.87, Remain: 1 day, 8:25:15, Finish: 2024-11-25 16:34
[11-25 00:09:18] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.611 (6.629), Lt: 5.873 (5.895), Acc m&t: 3.09 4.87, Remain: 1 day, 8:25:25, Finish: 2024-11-25 16:34
[11-25 00:09:18] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.611 (6.629), Lt: 5.873 (5.895), Acc m&t: 3.09 4.87, Remain: 1 day, 8:24:44, Finish: 2024-11-25 16:34
[11-25 00:09:18] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.611 (6.629), Lt: 5.873 (5.895), Acc m&t: 3.09 4.87, Remain: 1 day, 8:24:25, Finish: 2024-11-25 16:33
[11-25 00:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:13:39 tlr: 0.00011 tnm: 0.42 Lm: 6.607 (6.607) Lt: 5.889 (5.889) Accm: 3.04 (3.04) Acct: 4.99 (4.99) proj_loss: -0.5958 (-0.5958) time: 0.4909 data: 0.0003
[11-25 00:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:13:37 tlr: 0.00011 tnm: 0.42 Lm: 6.511 (6.511) Lt: 5.761 (5.761) Accm: 3.26 (3.26) Acct: 4.89 (4.89) proj_loss: -0.6089 (-0.6089) time: 0.4900 data: 0.0003
[11-25 00:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:13:39 tlr: 0.00011 tnm: 0.42 Lm: 6.634 (6.634) Lt: 5.958 (5.958) Accm: 2.99 (2.99) Acct: 4.51 (4.51) proj_loss: -0.5939 (-0.5939) time: 0.4907 data: 0.0004
[11-25 00:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:13:39 tlr: 0.00011 tnm: 0.42 Lm: 6.690 (6.690) Lt: 5.965 (5.965) Accm: 2.83 (2.83) Acct: 4.44 (4.44) proj_loss: -0.5931 (-0.5931) time: 0.4909 data: 0.0004
[11-25 00:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:10:19 tlr: 0.00011 tnm: 0.40 Lm: 6.689 (6.689) Lt: 5.983 (5.983) Accm: 2.92 (2.92) Acct: 4.64 (4.64) proj_loss: -0.5958 (-0.5958) time: 0.4888 data: 0.0003
[11-25 00:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:10:19 tlr: 0.00011 tnm: 0.40 Lm: 6.639 (6.639) Lt: 5.922 (5.922) Accm: 3.06 (3.06) Acct: 4.82 (4.82) proj_loss: -0.5816 (-0.5816) time: 0.4888 data: 0.0003
[11-25 00:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:10:19 tlr: 0.00011 tnm: 0.40 Lm: 6.616 (6.616) Lt: 5.878 (5.878) Accm: 3.10 (3.10) Acct: 4.86 (4.86) proj_loss: -0.6044 (-0.6044) time: 0.4888 data: 0.0003
[11-25 00:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:10:19 tlr: 0.00011 tnm: 0.40 Lm: 6.585 (6.585) Lt: 5.846 (5.846) Accm: 3.08 (3.08) Acct: 4.76 (4.76) proj_loss: -0.6062 (-0.6062) time: 0.4888 data: 0.0003
[11-25 00:16:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.40 Lm: 6.547 (6.573) Lt: 5.841 (5.844) Accm: 3.26 (3.14) Acct: 4.89 (4.91) proj_loss: -0.6035 (-0.5988) time: 0.4928 data: 0.0003
[11-25 00:16:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.40 Lm: 6.689 (6.678) Lt: 5.965 (5.976) Accm: 2.83 (2.89) Acct: 4.55 (4.61) proj_loss: -0.5985 (-0.5995) time: 0.4928 data: 0.0003
[11-25 00:16:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.40 Lm: 6.599 (6.562) Lt: 5.798 (5.807) Accm: 3.21 (3.33) Acct: 5.20 (5.23) proj_loss: -0.5939 (-0.5979) time: 0.4928 data: 0.0003
[11-25 00:16:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.40 Lm: 6.607 (6.613) Lt: 5.889 (5.893) Accm: 3.04 (3.02) Acct: 4.65 (4.74) proj_loss: -0.5877 (-0.5836) time: 0.4928 data: 0.0003
[11-25 00:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:03:28 tlr: 0.0001 tnm: 0.42 Lm: 6.584 (6.598) Lt: 5.862 (5.861) Accm: 3.06 (3.08) Acct: 4.82 (4.88) proj_loss: -0.5917 (-0.5882) time: 0.4914 data: 0.0003
[11-25 00:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:03:28 tlr: 0.0001 tnm: 0.42 Lm: 6.616 (6.582) Lt: 5.829 (5.820) Accm: 3.10 (3.24) Acct: 5.03 (5.14) proj_loss: -0.5895 (-0.5929) time: 0.4914 data: 0.0003
[11-25 00:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:03:28 tlr: 0.0001 tnm: 0.42 Lm: 6.672 (6.633) Lt: 5.963 (5.905) Accm: 2.92 (2.98) Acct: 4.69 (4.80) proj_loss: -0.5958 (-0.5978) time: 0.4914 data: 0.0003
[11-25 00:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:03:28 tlr: 0.0001 tnm: 0.42 Lm: 6.600 (6.593) Lt: 5.872 (5.859) Accm: 3.16 (3.12) Acct: 4.92 (4.92) proj_loss: -0.5947 (-0.5956) time: 0.4914 data: 0.0003
[11-25 00:23:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.39 Lm: 6.559 (6.586) Lt: 5.841 (5.840) Accm: 3.07 (3.11) Acct: 4.91 (4.92) proj_loss: -0.5860 (-0.5930) time: 0.5472 data: 0.0013
[11-25 00:23:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:14:10 (0.509 s / it)
[11-25 00:23:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.39 Lm: 6.599 (6.582) Lt: 5.825 (5.821) Accm: 3.08 (3.21) Acct: 4.94 (5.10) proj_loss: -0.5850 (-0.5909) time: 0.5472 data: 0.0018
[11-25 00:23:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.39 Lm: 6.689 (6.655) Lt: 5.965 (5.930) Accm: 2.83 (2.92) Acct: 4.55 (4.65) proj_loss: -0.5931 (-0.5956) time: 0.5472 data: 0.0017
[11-25 00:23:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.39 Lm: 6.607 (6.603) Lt: 5.889 (5.872) Accm: 3.08 (3.08) Acct: 4.77 (4.86) proj_loss: -0.5877 (-0.5850) time: 0.5472 data: 0.0022
[11-25 00:23:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:14:10 (0.509 s / it)
[11-25 00:23:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:14:10 (0.509 s / it)
[11-25 00:23:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:14:10 (0.509 s / it)
[11-25 00:26:14] (home/user/VAR/trainer.py, line 114)=> FID: 3.6700775457866257
[11-25 00:26:15] (/home/user/VAR/train.py , line 259)=> [*] [ep209] (val 50000) Lm: 6.6208, Lt: 5.8852, Acc m&t: 3.06 4.83, Val cost: 166.49s
[11-25 00:26:15] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 00:26:38] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.611 (6.621), Lt: 5.873 (5.885), Acc m&t: 3.09 4.87, Remain: 1 day, 8:27:25, Finish: 2024-11-25 16:50
[11-25 00:26:38] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.611 (6.621), Lt: 5.873 (5.885), Acc m&t: 3.09 4.87, Remain: 1 day, 8:26:54, Finish: 2024-11-25 16:50
[11-25 00:26:38] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.611 (6.621), Lt: 5.873 (5.885), Acc m&t: 3.09 4.87, Remain: 1 day, 8:28:34, Finish: 2024-11-25 16:52
[11-25 00:26:38] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.611 (6.621), Lt: 5.873 (5.885), Acc m&t: 3.09 4.87, Remain: 1 day, 8:26:45, Finish: 2024-11-25 16:50
[11-25 00:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:13:13 tlr: 0.0001 tnm: 0.41 Lm: 6.657 (6.657) Lt: 5.959 (5.959) Accm: 2.91 (2.91) Acct: 4.27 (4.27) proj_loss: -0.6059 (-0.6059) time: 0.4753 data: 0.0003
[11-25 00:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:13:13 tlr: 0.0001 tnm: 0.41 Lm: 6.660 (6.660) Lt: 5.948 (5.948) Accm: 2.91 (2.91) Acct: 4.80 (4.80) proj_loss: -0.5928 (-0.5928) time: 0.4751 data: 0.0003
[11-25 00:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:13:12 tlr: 0.0001 tnm: 0.41 Lm: 6.745 (6.745) Lt: 6.088 (6.088) Accm: 2.78 (2.78) Acct: 3.98 (3.98) proj_loss: -0.5929 (-0.5929) time: 0.4747 data: 0.0003
[11-25 00:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:13:12 tlr: 0.0001 tnm: 0.41 Lm: 6.644 (6.644) Lt: 5.887 (5.887) Accm: 2.96 (2.96) Acct: 4.87 (4.87) proj_loss: -0.5897 (-0.5897) time: 0.4746 data: 0.0004
[11-25 00:30:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:10:27 tlr: 0.0001 tnm: 0.41 Lm: 6.594 (6.594) Lt: 5.824 (5.824) Accm: 3.11 (3.11) Acct: 4.98 (4.98) proj_loss: -0.5844 (-0.5844) time: 0.4913 data: 0.0003
[11-25 00:30:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:10:27 tlr: 0.0001 tnm: 0.41 Lm: 6.718 (6.718) Lt: 6.032 (6.032) Accm: 2.86 (2.86) Acct: 4.28 (4.28) proj_loss: -0.5947 (-0.5947) time: 0.4913 data: 0.0003
[11-25 00:30:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:10:27 tlr: 0.0001 tnm: 0.41 Lm: 6.681 (6.681) Lt: 5.973 (5.973) Accm: 2.98 (2.98) Acct: 4.54 (4.54) proj_loss: -0.5907 (-0.5907) time: 0.4913 data: 0.0003
[11-25 00:30:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:10:27 tlr: 0.0001 tnm: 0.41 Lm: 6.670 (6.670) Lt: 5.949 (5.949) Accm: 3.02 (3.02) Acct: 4.73 (4.73) proj_loss: -0.5941 (-0.5941) time: 0.4913 data: 0.0003
[11-25 00:33:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:06:54 tlr: 0.0001 tnm: 0.44 Lm: 6.660 (6.657) Lt: 5.948 (5.919) Accm: 3.10 (3.04) Acct: 4.80 (4.84) proj_loss: -0.5954 (-0.5949) time: 0.4894 data: 0.0003
[11-25 00:33:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:06:54 tlr: 0.0001 tnm: 0.44 Lm: 6.631 (6.664) Lt: 5.886 (5.944) Accm: 2.85 (2.93) Acct: 4.46 (4.51) proj_loss: -0.5886 (-0.5893) time: 0.4894 data: 0.0003
[11-25 00:33:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:06:54 tlr: 0.0001 tnm: 0.44 Lm: 6.558 (6.582) Lt: 5.810 (5.819) Accm: 3.16 (3.13) Acct: 4.87 (4.93) proj_loss: -0.5897 (-0.5933) time: 0.4894 data: 0.0003
[11-25 00:33:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:06:54 tlr: 0.0001 tnm: 0.44 Lm: 6.701 (6.713) Lt: 5.959 (6.003) Accm: 2.86 (2.86) Acct: 4.29 (4.42) proj_loss: -0.6031 (-0.5975) time: 0.4894 data: 0.0003
[11-25 00:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:03:27 tlr: 0.0001 tnm: 0.41 Lm: 6.679 (6.682) Lt: 5.952 (5.970) Accm: 2.88 (2.94) Acct: 4.50 (4.54) proj_loss: -0.6010 (-0.5979) time: 0.4875 data: 0.0003
[11-25 00:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:03:27 tlr: 0.0001 tnm: 0.41 Lm: 6.601 (6.604) Lt: 5.848 (5.847) Accm: 3.06 (3.06) Acct: 4.86 (4.87) proj_loss: -0.6004 (-0.6007) time: 0.4875 data: 0.0002
[11-25 00:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:03:27 tlr: 0.0001 tnm: 0.41 Lm: 6.624 (6.640) Lt: 5.872 (5.899) Accm: 3.01 (3.03) Acct: 4.78 (4.71) proj_loss: -0.5907 (-0.5974) time: 0.4875 data: 0.0003
[11-25 00:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:03:27 tlr: 0.0001 tnm: 0.41 Lm: 6.645 (6.633) Lt: 5.904 (5.890) Accm: 3.11 (3.15) Acct: 4.92 (4.91) proj_loss: -0.5941 (-0.5935) time: 0.4875 data: 0.0004
[11-25 00:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.42 Lm: 6.631 (6.626) Lt: 5.866 (5.885) Accm: 3.10 (3.13) Acct: 4.80 (4.84) proj_loss: -0.5928 (-0.5900) time: 0.4939 data: 0.0018
[11-25 00:40:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:13:48 (0.496 s / it)
[11-25 00:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.42 Lm: 6.657 (6.660) Lt: 5.945 (5.951) Accm: 2.91 (3.03) Acct: 4.72 (4.65) proj_loss: -0.5989 (-0.5959) time: 0.4939 data: 0.0017
[11-25 00:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.42 Lm: 6.631 (6.641) Lt: 5.886 (5.900) Accm: 2.85 (2.99) Acct: 4.48 (4.67) proj_loss: -0.5929 (-0.6007) time: 0.4939 data: 0.0020
[11-25 00:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.42 Lm: 6.644 (6.628) Lt: 5.887 (5.869) Accm: 2.96 (3.01) Acct: 4.84 (4.82) proj_loss: -0.5897 (-0.5941) time: 0.4939 data: 0.0019
[11-25 00:40:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:13:48 (0.496 s / it)
[11-25 00:40:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:13:48 (0.496 s / it)
[11-25 00:40:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:13:48 (0.496 s / it)
[11-25 00:40:26] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.611 (6.623), Lt: 5.873 (5.882), Acc m&t: 3.09 4.87, Remain: 1 day, 8:03:07, Finish: 2024-11-25 16:43
[11-25 00:40:26] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.611 (6.623), Lt: 5.873 (5.882), Acc m&t: 3.09 4.87, Remain: 1 day, 8:04:01, Finish: 2024-11-25 16:44
[11-25 00:40:26] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.611 (6.623), Lt: 5.873 (5.882), Acc m&t: 3.09 4.87, Remain: 1 day, 8:04:01, Finish: 2024-11-25 16:44
[11-25 00:40:26] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.611 (6.623), Lt: 5.873 (5.882), Acc m&t: 3.09 4.87, Remain: 1 day, 8:03:49, Finish: 2024-11-25 16:44
[11-25 00:40:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:12:53 tlr: 0.0001 tnm: 0.41 Lm: 6.581 (6.581) Lt: 5.814 (5.814) Accm: 3.00 (3.00) Acct: 4.86 (4.86) proj_loss: -0.5915 (-0.5915) time: 0.4632 data: 0.0004
[11-25 00:40:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:13:00 tlr: 0.0001 tnm: 0.41 Lm: 6.617 (6.617) Lt: 5.875 (5.875) Accm: 3.17 (3.17) Acct: 4.99 (4.99) proj_loss: -0.6131 (-0.6131) time: 0.4677 data: 0.0004
[11-25 00:40:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:12:48 tlr: 0.0001 tnm: 0.41 Lm: 6.558 (6.558) Lt: 5.787 (5.787) Accm: 3.30 (3.30) Acct: 5.44 (5.44) proj_loss: -0.5870 (-0.5870) time: 0.4603 data: 0.0004
[11-25 00:40:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:12:54 tlr: 0.0001 tnm: 0.41 Lm: 6.644 (6.644) Lt: 5.870 (5.870) Accm: 3.11 (3.11) Acct: 4.98 (4.98) proj_loss: -0.5889 (-0.5889) time: 0.4638 data: 0.0004
[11-25 00:44:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:10:43 tlr: 0.0001 tnm: 0.40 Lm: 6.693 (6.693) Lt: 5.934 (5.934) Accm: 3.02 (3.02) Acct: 4.77 (4.77) proj_loss: -0.5896 (-0.5896) time: 0.6011 data: 0.0003
[11-25 00:44:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:10:43 tlr: 0.0001 tnm: 0.40 Lm: 6.601 (6.601) Lt: 5.837 (5.837) Accm: 3.10 (3.10) Acct: 5.07 (5.07) proj_loss: -0.5905 (-0.5905) time: 0.6011 data: 0.0003
[11-25 00:44:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:10:43 tlr: 0.0001 tnm: 0.40 Lm: 6.667 (6.667) Lt: 5.903 (5.903) Accm: 2.93 (2.93) Acct: 4.71 (4.71) proj_loss: -0.6011 (-0.6011) time: 0.6011 data: 0.0003
[11-25 00:44:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:10:43 tlr: 0.0001 tnm: 0.40 Lm: 6.602 (6.602) Lt: 5.832 (5.832) Accm: 3.05 (3.05) Acct: 4.81 (4.81) proj_loss: -0.5963 (-0.5963) time: 0.6011 data: 0.0003
[11-25 00:47:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:07:16 tlr: 0.0001 tnm: 0.41 Lm: 6.617 (6.643) Lt: 5.875 (5.885) Accm: 2.96 (3.02) Acct: 4.87 (4.83) proj_loss: -0.5796 (-0.5883) time: 0.5437 data: 0.0008
[11-25 00:47:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:07:16 tlr: 0.0001 tnm: 0.41 Lm: 6.644 (6.627) Lt: 5.887 (5.872) Accm: 2.90 (3.02) Acct: 4.70 (4.91) proj_loss: -0.5941 (-0.5953) time: 0.5437 data: 0.0003
[11-25 00:47:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:07:16 tlr: 0.0001 tnm: 0.41 Lm: 6.742 (6.735) Lt: 5.997 (5.988) Accm: 2.92 (2.88) Acct: 4.56 (4.64) proj_loss: -0.5903 (-0.5900) time: 0.5437 data: 0.0003
[11-25 00:47:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:07:16 tlr: 0.0001 tnm: 0.41 Lm: 6.666 (6.667) Lt: 5.866 (5.891) Accm: 3.00 (3.01) Acct: 4.86 (4.83) proj_loss: -0.5915 (-0.5958) time: 0.5437 data: 0.0003
[11-25 00:51:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:03:34 tlr: 0.0001 tnm: 0.42 Lm: 6.659 (6.663) Lt: 5.893 (5.898) Accm: 3.07 (3.04) Acct: 4.81 (4.81) proj_loss: -0.5942 (-0.5961) time: 0.4888 data: 0.0002
[11-25 00:51:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:03:34 tlr: 0.0001 tnm: 0.42 Lm: 6.652 (6.636) Lt: 5.915 (5.900) Accm: 2.88 (2.98) Acct: 4.64 (4.82) proj_loss: -0.5983 (-0.5971) time: 0.4888 data: 0.0003
[11-25 00:51:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:03:34 tlr: 0.0001 tnm: 0.42 Lm: 6.693 (6.663) Lt: 5.934 (5.934) Accm: 3.02 (3.04) Acct: 4.77 (4.80) proj_loss: -0.5906 (-0.5919) time: 0.4888 data: 0.0003
[11-25 00:51:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:03:34 tlr: 0.0001 tnm: 0.42 Lm: 6.637 (6.646) Lt: 5.889 (5.889) Accm: 2.95 (3.00) Acct: 4.75 (4.78) proj_loss: -0.5760 (-0.5835) time: 0.4888 data: 0.0003
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.617 (6.607) Lt: 5.875 (5.853) Accm: 2.96 (3.12) Acct: 4.87 (5.00) proj_loss: -0.5796 (-0.5901) time: 0.4902 data: 0.0017
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:14:08 (0.508 s / it)
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.644 (6.634) Lt: 5.870 (5.910) Accm: 3.11 (3.08) Acct: 4.98 (4.85) proj_loss: -0.5903 (-0.5902) time: 0.4902 data: 0.0017
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.666 (6.691) Lt: 5.920 (5.939) Accm: 3.00 (2.99) Acct: 4.77 (4.76) proj_loss: -0.5915 (-0.5946) time: 0.4902 data: 0.0020
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.644 (6.620) Lt: 5.887 (5.886) Accm: 2.90 (3.08) Acct: 4.70 (4.88) proj_loss: -0.5982 (-0.5973) time: 0.4902 data: 0.0019
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:14:08 (0.508 s / it)
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:14:08 (0.508 s / it)
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:14:08 (0.508 s / it)
[11-25 00:54:35] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.611 (6.626), Lt: 5.873 (5.888), Acc m&t: 3.09 4.87, Remain: 1 day, 7:42:29, Finish: 2024-11-25 16:37
[11-25 00:54:35] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.611 (6.626), Lt: 5.873 (5.888), Acc m&t: 3.09 4.87, Remain: 1 day, 7:41:53, Finish: 2024-11-25 16:36
[11-25 00:54:35] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.611 (6.626), Lt: 5.873 (5.888), Acc m&t: 3.09 4.87, Remain: 1 day, 7:41:28, Finish: 2024-11-25 16:36
[11-25 00:54:35] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.611 (6.626), Lt: 5.873 (5.888), Acc m&t: 3.09 4.87, Remain: 1 day, 7:42:31, Finish: 2024-11-25 16:37
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:13:12 tlr: 0.0001 tnm: 0.40 Lm: 6.536 (6.536) Lt: 5.827 (5.827) Accm: 3.63 (3.63) Acct: 5.53 (5.53) proj_loss: -0.6098 (-0.6098) time: 0.4749 data: 0.0004
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:14:03 tlr: 0.0001 tnm: 0.40 Lm: 6.574 (6.574) Lt: 5.824 (5.824) Accm: 3.15 (3.15) Acct: 4.98 (4.98) proj_loss: -0.5955 (-0.5955) time: 0.5057 data: 0.0004
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:13:12 tlr: 0.0001 tnm: 0.40 Lm: 6.621 (6.621) Lt: 5.886 (5.886) Accm: 2.96 (2.96) Acct: 4.61 (4.61) proj_loss: -0.5849 (-0.5849) time: 0.4750 data: 0.0003
[11-25 00:54:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:13:11 tlr: 0.0001 tnm: 0.40 Lm: 6.627 (6.627) Lt: 5.878 (5.878) Accm: 3.02 (3.02) Acct: 5.01 (5.01) proj_loss: -0.5742 (-0.5742) time: 0.4745 data: 0.0004
[11-25 00:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:10:12 tlr: 0.0001 tnm: 0.43 Lm: 6.671 (6.671) Lt: 5.941 (5.941) Accm: 2.99 (2.99) Acct: 4.73 (4.73) proj_loss: -0.5829 (-0.5829) time: 0.4897 data: 0.0003
[11-25 00:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:10:12 tlr: 0.0001 tnm: 0.43 Lm: 6.526 (6.526) Lt: 5.791 (5.791) Accm: 3.43 (3.43) Acct: 5.19 (5.19) proj_loss: -0.6054 (-0.6054) time: 0.4897 data: 0.0003
[11-25 00:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:10:12 tlr: 0.0001 tnm: 0.43 Lm: 6.561 (6.561) Lt: 5.823 (5.823) Accm: 3.26 (3.26) Acct: 5.13 (5.13) proj_loss: -0.5883 (-0.5883) time: 0.4897 data: 0.0003
[11-25 00:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:10:12 tlr: 0.0001 tnm: 0.43 Lm: 6.613 (6.613) Lt: 5.862 (5.862) Accm: 2.99 (2.99) Acct: 4.65 (4.65) proj_loss: -0.5796 (-0.5796) time: 0.4897 data: 0.0003
[11-25 01:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.41 Lm: 6.621 (6.651) Lt: 5.886 (5.917) Accm: 2.96 (2.93) Acct: 4.61 (4.60) proj_loss: -0.5848 (-0.5813) time: 0.5494 data: 0.0003
[11-25 01:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.41 Lm: 6.627 (6.638) Lt: 5.878 (5.907) Accm: 2.95 (2.97) Acct: 4.63 (4.69) proj_loss: -0.5742 (-0.5775) time: 0.5494 data: 0.0003
[11-25 01:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.41 Lm: 6.515 (6.520) Lt: 5.756 (5.779) Accm: 3.50 (3.45) Acct: 5.53 (5.37) proj_loss: -0.6009 (-0.5954) time: 0.5494 data: 0.0002
[11-25 01:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.41 Lm: 6.574 (6.617) Lt: 5.824 (5.879) Accm: 3.15 (3.08) Acct: 4.98 (4.83) proj_loss: -0.5943 (-0.5903) time: 0.5494 data: 0.0003
[11-25 01:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:03:32 tlr: 0.0001 tnm: 0.42 Lm: 6.593 (6.616) Lt: 5.872 (5.889) Accm: 3.08 (3.07) Acct: 4.80 (4.78) proj_loss: -0.5949 (-0.5929) time: 0.5417 data: 0.0003
[11-25 01:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:03:32 tlr: 0.0001 tnm: 0.42 Lm: 6.613 (6.612) Lt: 5.862 (5.864) Accm: 2.99 (3.09) Acct: 4.65 (4.87) proj_loss: -0.5849 (-0.5841) time: 0.5418 data: 0.0003
[11-25 01:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:03:32 tlr: 0.0001 tnm: 0.42 Lm: 6.526 (6.529) Lt: 5.784 (5.788) Accm: 3.36 (3.38) Acct: 5.30 (5.29) proj_loss: -0.6012 (-0.5969) time: 0.5417 data: 0.0002
[11-25 01:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:03:32 tlr: 0.0001 tnm: 0.42 Lm: 6.613 (6.628) Lt: 5.861 (5.891) Accm: 2.96 (2.97) Acct: 4.68 (4.70) proj_loss: -0.5794 (-0.5793) time: 0.5418 data: 0.0003
[11-25 01:08:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.599 (6.604) Lt: 5.844 (5.856) Accm: 2.98 (3.09) Acct: 4.73 (4.91) proj_loss: -0.5843 (-0.5803) time: 0.4935 data: 0.0018
[11-25 01:08:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:14:10 (0.510 s / it)
[11-25 01:08:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.536 (6.589) Lt: 5.813 (5.853) Accm: 3.22 (3.19) Acct: 5.08 (5.01) proj_loss: -0.6009 (-0.5901) time: 0.4934 data: 0.0014
[11-25 01:08:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.611 (6.653) Lt: 5.919 (5.927) Accm: 3.02 (2.99) Acct: 4.61 (4.64) proj_loss: -0.5949 (-0.5933) time: 0.4935 data: 0.0017
[11-25 01:08:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.621 (6.615) Lt: 5.847 (5.861) Accm: 3.02 (3.08) Acct: 4.68 (4.88) proj_loss: -0.5849 (-0.5845) time: 0.4935 data: 0.0019
[11-25 01:08:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:14:10 (0.510 s / it)
[11-25 01:08:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:14:10 (0.510 s / it)
[11-25 01:08:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:14:10 (0.510 s / it)
[11-25 01:08:45] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.611 (6.620), Lt: 5.873 (5.878), Acc m&t: 3.09 4.87, Remain: 1 day, 7:36:54, Finish: 2024-11-25 16:45
[11-25 01:08:45] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.611 (6.620), Lt: 5.873 (5.878), Acc m&t: 3.09 4.87, Remain: 1 day, 7:37:51, Finish: 2024-11-25 16:46
[11-25 01:08:45] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.611 (6.620), Lt: 5.873 (5.878), Acc m&t: 3.09 4.87, Remain: 1 day, 7:36:51, Finish: 2024-11-25 16:45
[11-25 01:08:45] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.611 (6.620), Lt: 5.873 (5.878), Acc m&t: 3.09 4.87, Remain: 1 day, 7:33:47, Finish: 2024-11-25 16:42
[11-25 01:08:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:13:08 tlr: 0.0001 tnm: 0.43 Lm: 6.739 (6.739) Lt: 6.045 (6.045) Accm: 2.80 (2.80) Acct: 4.37 (4.37) proj_loss: -0.5989 (-0.5989) time: 0.4723 data: 0.0003
[11-25 01:08:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:13:08 tlr: 0.0001 tnm: 0.43 Lm: 6.710 (6.710) Lt: 5.967 (5.967) Accm: 2.88 (2.88) Acct: 4.51 (4.51) proj_loss: -0.5966 (-0.5966) time: 0.4725 data: 0.0004
[11-25 01:08:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:13:08 tlr: 0.0001 tnm: 0.43 Lm: 6.503 (6.503) Lt: 5.765 (5.765) Accm: 3.53 (3.53) Acct: 5.27 (5.27) proj_loss: -0.6058 (-0.6058) time: 0.4727 data: 0.0004
[11-25 01:08:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:13:09 tlr: 0.0001 tnm: 0.43 Lm: 6.713 (6.713) Lt: 5.991 (5.991) Accm: 2.81 (2.81) Acct: 4.32 (4.32) proj_loss: -0.5788 (-0.5788) time: 0.4732 data: 0.0003
[11-25 01:12:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:10:22 tlr: 0.0001 tnm: 0.41 Lm: 6.627 (6.627) Lt: 5.909 (5.909) Accm: 3.26 (3.26) Acct: 5.05 (5.05) proj_loss: -0.5976 (-0.5976) time: 0.4932 data: 0.0003
[11-25 01:12:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:10:22 tlr: 0.0001 tnm: 0.41 Lm: 6.646 (6.646) Lt: 5.916 (5.916) Accm: 3.02 (3.02) Acct: 4.61 (4.61) proj_loss: -0.6028 (-0.6028) time: 0.4932 data: 0.0003
[11-25 01:12:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:10:22 tlr: 0.0001 tnm: 0.41 Lm: 6.697 (6.697) Lt: 5.962 (5.962) Accm: 2.81 (2.81) Acct: 4.34 (4.34) proj_loss: -0.5944 (-0.5944) time: 0.4932 data: 0.0003
[11-25 01:12:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:10:22 tlr: 0.0001 tnm: 0.41 Lm: 6.672 (6.672) Lt: 5.949 (5.949) Accm: 2.84 (2.84) Acct: 4.49 (4.49) proj_loss: -0.5965 (-0.5965) time: 0.4932 data: 0.0003
[11-25 01:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.44 Lm: 6.629 (6.658) Lt: 5.866 (5.921) Accm: 2.88 (2.94) Acct: 4.61 (4.64) proj_loss: -0.5941 (-0.5950) time: 0.4908 data: 0.0003
[11-25 01:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.44 Lm: 6.685 (6.678) Lt: 5.958 (5.932) Accm: 2.88 (2.93) Acct: 4.51 (4.51) proj_loss: -0.5923 (-0.5934) time: 0.4908 data: 0.0003
[11-25 01:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.44 Lm: 6.711 (6.655) Lt: 5.991 (5.939) Accm: 2.81 (3.09) Acct: 4.32 (4.74) proj_loss: -0.5788 (-0.5884) time: 0.4908 data: 0.0003
[11-25 01:15:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:06:51 tlr: 0.0001 tnm: 0.44 Lm: 6.503 (6.570) Lt: 5.765 (5.828) Accm: 3.44 (3.16) Acct: 5.27 (4.91) proj_loss: -0.5998 (-0.5953) time: 0.4908 data: 0.0003
[11-25 01:19:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:03:26 tlr: 0.0001 tnm: 0.41 Lm: 6.608 (6.606) Lt: 5.893 (5.876) Accm: 3.09 (3.06) Acct: 4.64 (4.69) proj_loss: -0.6002 (-0.5966) time: 0.4905 data: 0.0003
[11-25 01:19:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:03:26 tlr: 0.0001 tnm: 0.41 Lm: 6.661 (6.643) Lt: 5.915 (5.897) Accm: 2.96 (2.95) Acct: 4.67 (4.59) proj_loss: -0.5944 (-0.5946) time: 0.4905 data: 0.0003
[11-25 01:19:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:03:26 tlr: 0.0001 tnm: 0.41 Lm: 6.656 (6.664) Lt: 5.919 (5.934) Accm: 2.84 (2.86) Acct: 4.55 (4.60) proj_loss: -0.5931 (-0.5904) time: 0.4905 data: 0.0003
[11-25 01:19:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:03:26 tlr: 0.0001 tnm: 0.41 Lm: 6.683 (6.655) Lt: 5.922 (5.918) Accm: 2.92 (3.07) Acct: 4.63 (4.79) proj_loss: -0.5855 (-0.5893) time: 0.4905 data: 0.0003
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.711 (6.687) Lt: 5.991 (5.952) Accm: 2.81 (2.99) Acct: 4.34 (4.70) proj_loss: -0.5887 (-0.5892) time: 0.4901 data: 0.0014
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:13:50 (0.498 s / it)
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.677 (6.667) Lt: 5.952 (5.937) Accm: 2.87 (2.87) Acct: 4.49 (4.57) proj_loss: -0.5922 (-0.5879) time: 0.4901 data: 0.0019
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.638 (6.628) Lt: 5.872 (5.887) Accm: 3.03 (3.03) Acct: 4.84 (4.73) proj_loss: -0.5966 (-0.5965) time: 0.4901 data: 0.0018
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.685 (6.622) Lt: 5.979 (5.897) Accm: 2.83 (3.01) Acct: 4.46 (4.64) proj_loss: -0.6006 (-0.5987) time: 0.4901 data: 0.0022
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:13:50 (0.498 s / it)
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:13:50 (0.498 s / it)
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:13:50 (0.498 s / it)
[11-25 01:22:36] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.611 (6.614), Lt: 5.873 (5.874), Acc m&t: 3.09 4.87, Remain: 1 day, 7:17:30, Finish: 2024-11-25 16:40
[11-25 01:22:36] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.611 (6.614), Lt: 5.873 (5.874), Acc m&t: 3.09 4.87, Remain: 1 day, 7:16:20, Finish: 2024-11-25 16:38
[11-25 01:22:36] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.611 (6.614), Lt: 5.873 (5.874), Acc m&t: 3.09 4.87, Remain: 1 day, 7:17:56, Finish: 2024-11-25 16:40
[11-25 01:22:36] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.611 (6.614), Lt: 5.873 (5.874), Acc m&t: 3.09 4.87, Remain: 1 day, 7:17:08, Finish: 2024-11-25 16:39
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:13:11 tlr: 0.0001 tnm: 0.41 Lm: 6.660 (6.660) Lt: 5.903 (5.903) Accm: 2.96 (2.96) Acct: 4.96 (4.96) proj_loss: -0.5646 (-0.5646) time: 0.4743 data: 0.0004
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:13:09 tlr: 0.0001 tnm: 0.41 Lm: 6.718 (6.718) Lt: 5.944 (5.944) Accm: 2.93 (2.93) Acct: 4.48 (4.48) proj_loss: -0.5946 (-0.5946) time: 0.4733 data: 0.0004
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:13:10 tlr: 0.0001 tnm: 0.41 Lm: 6.602 (6.602) Lt: 5.804 (5.804) Accm: 3.12 (3.12) Acct: 5.18 (5.18) proj_loss: -0.5693 (-0.5693) time: 0.4734 data: 0.0005
[11-25 01:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:13:10 tlr: 0.0001 tnm: 0.41 Lm: 6.789 (6.789) Lt: 6.153 (6.153) Accm: 2.48 (2.48) Acct: 3.89 (3.89) proj_loss: -0.5926 (-0.5926) time: 0.4736 data: 0.0004
[11-25 01:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:10:42 tlr: 0.0001 tnm: 0.42 Lm: 6.767 (6.767) Lt: 6.097 (6.097) Accm: 2.59 (2.59) Acct: 4.12 (4.12) proj_loss: -0.5928 (-0.5928) time: 0.4893 data: 0.0003
[11-25 01:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:10:42 tlr: 0.0001 tnm: 0.42 Lm: 6.634 (6.634) Lt: 5.894 (5.894) Accm: 3.18 (3.18) Acct: 5.15 (5.15) proj_loss: -0.5873 (-0.5873) time: 0.4893 data: 0.0003
[11-25 01:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:10:42 tlr: 0.0001 tnm: 0.42 Lm: 6.685 (6.685) Lt: 5.922 (5.922) Accm: 2.92 (2.92) Acct: 4.56 (4.56) proj_loss: -0.5925 (-0.5925) time: 0.4893 data: 0.0003
[11-25 01:26:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:10:42 tlr: 0.0001 tnm: 0.42 Lm: 6.615 (6.615) Lt: 5.869 (5.869) Accm: 3.00 (3.00) Acct: 4.74 (4.74) proj_loss: -0.5877 (-0.5877) time: 0.4893 data: 0.0003
[11-25 01:29:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:07:14 tlr: 0.0001 tnm: 0.42 Lm: 6.602 (6.560) Lt: 5.804 (5.814) Accm: 3.12 (3.07) Acct: 5.06 (4.85) proj_loss: -0.6061 (-0.5944) time: 0.4947 data: 0.0003
[11-25 01:29:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:07:14 tlr: 0.0001 tnm: 0.42 Lm: 6.660 (6.653) Lt: 5.903 (5.919) Accm: 2.96 (3.00) Acct: 4.96 (4.94) proj_loss: -0.6100 (-0.5954) time: 0.4947 data: 0.0003
[11-25 01:29:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:07:14 tlr: 0.0001 tnm: 0.42 Lm: 6.745 (6.653) Lt: 6.042 (5.950) Accm: 2.70 (3.01) Acct: 4.36 (4.86) proj_loss: -0.5931 (-0.5942) time: 0.4947 data: 0.0003
[11-25 01:29:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:07:14 tlr: 0.0001 tnm: 0.42 Lm: 6.651 (6.647) Lt: 5.899 (5.900) Accm: 2.93 (3.01) Acct: 4.65 (4.69) proj_loss: -0.5915 (-0.5922) time: 0.4947 data: 0.0003
[11-25 01:33:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:03:33 tlr: 0.0001 tnm: 0.40 Lm: 6.616 (6.631) Lt: 5.878 (5.882) Accm: 3.06 (3.11) Acct: 4.80 (4.84) proj_loss: -0.5919 (-0.5922) time: 0.4898 data: 0.0003
[11-25 01:33:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:03:33 tlr: 0.0001 tnm: 0.40 Lm: 6.634 (6.604) Lt: 5.894 (5.875) Accm: 3.18 (3.13) Acct: 5.15 (5.06) proj_loss: -0.6018 (-0.5950) time: 0.4898 data: 0.0003
[11-25 01:33:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:03:33 tlr: 0.0001 tnm: 0.40 Lm: 6.588 (6.563) Lt: 5.809 (5.814) Accm: 3.17 (3.17) Acct: 5.12 (4.99) proj_loss: -0.6042 (-0.5964) time: 0.4898 data: 0.0003
[11-25 01:33:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:03:33 tlr: 0.0001 tnm: 0.40 Lm: 6.766 (6.687) Lt: 6.058 (5.981) Accm: 2.67 (2.92) Acct: 4.18 (4.64) proj_loss: -0.5930 (-0.5939) time: 0.4898 data: 0.0003
[11-25 01:36:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.745 (6.656) Lt: 6.042 (5.947) Accm: 2.70 (2.98) Acct: 4.36 (4.68) proj_loss: -0.5929 (-0.5928) time: 0.4935 data: 0.0018
[11-25 01:36:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:14:03 (0.505 s / it)
[11-25 01:36:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.651 (6.657) Lt: 5.899 (5.912) Accm: 2.93 (3.02) Acct: 4.65 (4.77) proj_loss: -0.5915 (-0.5904) time: 0.4935 data: 0.0020
[11-25 01:36:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.660 (6.632) Lt: 5.903 (5.897) Accm: 2.96 (3.03) Acct: 4.96 (4.88) proj_loss: -0.5936 (-0.5919) time: 0.4935 data: 0.0018
[11-25 01:36:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.602 (6.583) Lt: 5.815 (5.831) Accm: 3.12 (3.14) Acct: 5.06 (4.93) proj_loss: -0.6045 (-0.5980) time: 0.4935 data: 0.0016
[11-25 01:36:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:14:03 (0.505 s / it)
[11-25 01:36:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:14:03 (0.505 s / it)
[11-25 01:36:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:14:03 (0.505 s / it)
[11-25 01:36:39] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.611 (6.615), Lt: 5.873 (5.876), Acc m&t: 3.09 4.87, Remain: 1 day, 7:07:28, Finish: 2024-11-25 16:44
[11-25 01:36:39] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.611 (6.615), Lt: 5.873 (5.876), Acc m&t: 3.09 4.87, Remain: 1 day, 7:07:36, Finish: 2024-11-25 16:44
[11-25 01:36:39] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.611 (6.615), Lt: 5.873 (5.876), Acc m&t: 3.09 4.87, Remain: 1 day, 7:08:12, Finish: 2024-11-25 16:44
[11-25 01:36:39] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.611 (6.615), Lt: 5.873 (5.876), Acc m&t: 3.09 4.87, Remain: 1 day, 7:07:29, Finish: 2024-11-25 16:44
[11-25 01:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:13:21 tlr: 0.0001 tnm: 0.42 Lm: 6.584 (6.584) Lt: 5.841 (5.841) Accm: 3.23 (3.23) Acct: 4.96 (4.96) proj_loss: -0.5937 (-0.5937) time: 0.4801 data: 0.0003
[11-25 01:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:13:21 tlr: 0.0001 tnm: 0.42 Lm: 6.608 (6.608) Lt: 5.846 (5.846) Accm: 3.15 (3.15) Acct: 4.73 (4.73) proj_loss: -0.5753 (-0.5753) time: 0.4800 data: 0.0004
[11-25 01:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:13:21 tlr: 0.0001 tnm: 0.42 Lm: 6.854 (6.854) Lt: 6.143 (6.143) Accm: 2.83 (2.83) Acct: 4.30 (4.30) proj_loss: -0.6120 (-0.6120) time: 0.4805 data: 0.0004
[11-25 01:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:13:21 tlr: 0.0001 tnm: 0.42 Lm: 6.590 (6.590) Lt: 5.865 (5.865) Accm: 3.13 (3.13) Acct: 4.72 (4.72) proj_loss: -0.5814 (-0.5814) time: 0.4805 data: 0.0004
[11-25 01:40:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:10:13 tlr: 0.0001 tnm: 0.40 Lm: 6.654 (6.654) Lt: 5.943 (5.943) Accm: 3.02 (3.02) Acct: 4.58 (4.58) proj_loss: -0.5931 (-0.5931) time: 0.4911 data: 0.0003
[11-25 01:40:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:10:13 tlr: 0.0001 tnm: 0.40 Lm: 6.624 (6.624) Lt: 5.895 (5.895) Accm: 3.15 (3.15) Acct: 4.84 (4.84) proj_loss: -0.5950 (-0.5950) time: 0.4911 data: 0.0003
[11-25 01:40:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:10:13 tlr: 0.0001 tnm: 0.40 Lm: 6.559 (6.559) Lt: 5.778 (5.778) Accm: 3.18 (3.18) Acct: 4.92 (4.92) proj_loss: -0.5875 (-0.5875) time: 0.4911 data: 0.0003
[11-25 01:40:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:10:13 tlr: 0.0001 tnm: 0.40 Lm: 6.735 (6.735) Lt: 6.010 (6.010) Accm: 2.99 (2.99) Acct: 4.62 (4.62) proj_loss: -0.6140 (-0.6140) time: 0.4911 data: 0.0003
[11-25 01:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:06:59 tlr: 0.0001 tnm: 0.42 Lm: 6.642 (6.704) Lt: 5.923 (5.981) Accm: 3.15 (3.05) Acct: 4.94 (4.73) proj_loss: -0.6120 (-0.6096) time: 0.5931 data: 0.0003
[11-25 01:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:06:59 tlr: 0.0001 tnm: 0.42 Lm: 6.608 (6.588) Lt: 5.843 (5.800) Accm: 3.21 (3.19) Acct: 5.10 (4.99) proj_loss: -0.5753 (-0.5808) time: 0.5931 data: 0.0003
[11-25 01:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:06:59 tlr: 0.0001 tnm: 0.42 Lm: 6.610 (6.619) Lt: 5.875 (5.888) Accm: 3.23 (3.18) Acct: 4.96 (4.96) proj_loss: -0.5937 (-0.5876) time: 0.5931 data: 0.0003
[11-25 01:43:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:06:59 tlr: 0.0001 tnm: 0.42 Lm: 6.639 (6.649) Lt: 5.940 (5.942) Accm: 3.13 (3.06) Acct: 4.72 (4.72) proj_loss: -0.5974 (-0.5945) time: 0.5931 data: 0.0003
[11-25 01:47:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:03:34 tlr: 0.0001 tnm: 0.41 Lm: 6.630 (6.642) Lt: 5.917 (5.930) Accm: 3.02 (2.97) Acct: 4.66 (4.69) proj_loss: -0.5977 (-0.5954) time: 0.5396 data: 0.0003
[11-25 01:47:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:03:34 tlr: 0.0001 tnm: 0.41 Lm: 6.637 (6.664) Lt: 5.911 (5.928) Accm: 3.15 (3.01) Acct: 4.84 (4.70) proj_loss: -0.5950 (-0.5900) time: 0.5395 data: 0.0003
[11-25 01:47:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:03:34 tlr: 0.0001 tnm: 0.41 Lm: 6.627 (6.641) Lt: 5.844 (5.882) Accm: 3.18 (3.04) Acct: 4.92 (4.70) proj_loss: -0.5875 (-0.5905) time: 0.5396 data: 0.0003
[11-25 01:47:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:03:34 tlr: 0.0001 tnm: 0.41 Lm: 6.629 (6.651) Lt: 5.900 (5.919) Accm: 3.17 (3.15) Acct: 4.94 (4.89) proj_loss: -0.6063 (-0.6051) time: 0.5396 data: 0.0003
[11-25 01:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.616 (6.637) Lt: 5.878 (5.893) Accm: 3.18 (3.16) Acct: 4.94 (4.94) proj_loss: -0.6110 (-0.6063) time: 0.4953 data: 0.0019
[11-25 01:50:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:14:14 (0.512 s / it)
[11-25 01:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.610 (6.652) Lt: 5.890 (5.921) Accm: 3.10 (3.03) Acct: 4.72 (4.69) proj_loss: -0.5937 (-0.5896) time: 0.4953 data: 0.0014
[11-25 01:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.608 (6.622) Lt: 5.843 (5.870) Accm: 3.21 (3.10) Acct: 5.03 (4.76) proj_loss: -0.5997 (-0.5928) time: 0.4953 data: 0.0018
[11-25 01:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.41 Lm: 6.621 (6.614) Lt: 5.895 (5.903) Accm: 3.13 (3.01) Acct: 4.72 (4.71) proj_loss: -0.5974 (-0.5949) time: 0.4954 data: 0.0019
[11-25 01:50:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:14:14 (0.512 s / it)
[11-25 01:50:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:14:14 (0.512 s / it)
[11-25 01:50:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:14:14 (0.512 s / it)
[11-25 01:50:54] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.611 (6.623), Lt: 5.873 (5.890), Acc m&t: 3.09 4.87, Remain: 1 day, 6:55:33, Finish: 2024-11-25 16:46
[11-25 01:50:54] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.611 (6.623), Lt: 5.873 (5.890), Acc m&t: 3.09 4.87, Remain: 1 day, 6:55:42, Finish: 2024-11-25 16:46
[11-25 01:50:54] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.611 (6.623), Lt: 5.873 (5.890), Acc m&t: 3.09 4.87, Remain: 1 day, 6:55:33, Finish: 2024-11-25 16:46
[11-25 01:50:54] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.611 (6.623), Lt: 5.873 (5.890), Acc m&t: 3.09 4.87, Remain: 1 day, 6:55:08, Finish: 2024-11-25 16:46
[11-25 01:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:13:05 tlr: 0.0001 tnm: 0.43 Lm: 6.639 (6.639) Lt: 5.915 (5.915) Accm: 3.08 (3.08) Acct: 5.17 (5.17) proj_loss: -0.6057 (-0.6057) time: 0.4707 data: 0.0003
[11-25 01:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:13:06 tlr: 0.0001 tnm: 0.43 Lm: 6.688 (6.688) Lt: 5.940 (5.940) Accm: 2.84 (2.84) Acct: 4.56 (4.56) proj_loss: -0.5768 (-0.5768) time: 0.4711 data: 0.0004
[11-25 01:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:13:06 tlr: 0.0001 tnm: 0.43 Lm: 6.549 (6.549) Lt: 5.771 (5.771) Accm: 3.26 (3.26) Acct: 5.06 (5.06) proj_loss: -0.5993 (-0.5993) time: 0.4712 data: 0.0004
[11-25 01:50:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:13:06 tlr: 0.0001 tnm: 0.43 Lm: 6.604 (6.604) Lt: 5.882 (5.882) Accm: 3.25 (3.25) Acct: 5.20 (5.20) proj_loss: -0.6140 (-0.6140) time: 0.4715 data: 0.0004
[11-25 01:54:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:10:13 tlr: 0.0001 tnm: 0.42 Lm: 6.567 (6.567) Lt: 5.843 (5.843) Accm: 3.20 (3.20) Acct: 5.06 (5.06) proj_loss: -0.6144 (-0.6144) time: 0.4877 data: 0.0003
[11-25 01:54:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:10:13 tlr: 0.0001 tnm: 0.42 Lm: 6.664 (6.664) Lt: 5.933 (5.933) Accm: 2.94 (2.94) Acct: 4.73 (4.73) proj_loss: -0.5867 (-0.5867) time: 0.4877 data: 0.0003
[11-25 01:54:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:10:13 tlr: 0.0001 tnm: 0.42 Lm: 6.572 (6.572) Lt: 5.804 (5.804) Accm: 3.18 (3.18) Acct: 4.92 (4.92) proj_loss: -0.5960 (-0.5960) time: 0.4877 data: 0.0003
[11-25 01:54:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:10:13 tlr: 0.0001 tnm: 0.42 Lm: 6.540 (6.540) Lt: 5.797 (5.797) Accm: 3.24 (3.24) Acct: 5.22 (5.22) proj_loss: -0.5975 (-0.5975) time: 0.4877 data: 0.0003
[11-25 01:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:06:49 tlr: 0.0001 tnm: 0.42 Lm: 6.639 (6.581) Lt: 5.915 (5.840) Accm: 3.08 (3.07) Acct: 5.17 (4.87) proj_loss: -0.5961 (-0.5970) time: 0.4910 data: 0.0003
[11-25 01:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:06:49 tlr: 0.0001 tnm: 0.42 Lm: 6.688 (6.690) Lt: 5.940 (5.964) Accm: 2.88 (2.92) Acct: 4.61 (4.69) proj_loss: -0.5966 (-0.5911) time: 0.4910 data: 0.0003
[11-25 01:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:06:49 tlr: 0.0001 tnm: 0.42 Lm: 6.549 (6.553) Lt: 5.771 (5.788) Accm: 3.26 (3.26) Acct: 5.06 (5.09) proj_loss: -0.5993 (-0.5993) time: 0.4910 data: 0.0003
[11-25 01:57:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:06:49 tlr: 0.0001 tnm: 0.42 Lm: 6.545 (6.560) Lt: 5.820 (5.835) Accm: 3.15 (3.14) Acct: 4.92 (4.86) proj_loss: -0.6140 (-0.6129) time: 0.4910 data: 0.0003
[11-25 02:01:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:03:26 tlr: 0.0001 tnm: 0.41 Lm: 6.574 (6.592) Lt: 5.851 (5.883) Accm: 3.08 (3.10) Acct: 4.81 (4.82) proj_loss: -0.6119 (-0.6100) time: 0.5976 data: 0.0003
[11-25 02:01:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:03:26 tlr: 0.0001 tnm: 0.41 Lm: 6.564 (6.560) Lt: 5.770 (5.783) Accm: 3.18 (3.21) Acct: 5.00 (5.05) proj_loss: -0.5960 (-0.5915) time: 0.5976 data: 0.0003
[11-25 02:01:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:03:26 tlr: 0.0001 tnm: 0.41 Lm: 6.664 (6.663) Lt: 5.933 (5.928) Accm: 2.96 (3.09) Acct: 4.75 (4.98) proj_loss: -0.5983 (-0.5935) time: 0.5976 data: 0.0003
[11-25 02:01:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:03:26 tlr: 0.0001 tnm: 0.41 Lm: 6.621 (6.587) Lt: 5.902 (5.852) Accm: 3.14 (3.10) Acct: 4.84 (4.78) proj_loss: -0.5962 (-0.5968) time: 0.5976 data: 0.0003
[11-25 02:04:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.43 Lm: 6.639 (6.612) Lt: 5.915 (5.882) Accm: 3.08 (3.03) Acct: 4.51 (4.71) proj_loss: -0.5962 (-0.5988) time: 0.4898 data: 0.0014
[11-25 02:04:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:13:52 (0.499 s / it)
[11-25 02:04:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.43 Lm: 6.639 (6.629) Lt: 5.927 (5.897) Accm: 3.03 (3.27) Acct: 4.89 (5.18) proj_loss: -0.5966 (-0.5911) time: 0.4898 data: 0.0018
[11-25 02:04:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.43 Lm: 6.566 (6.587) Lt: 5.820 (5.861) Accm: 3.15 (3.16) Acct: 4.92 (4.95) proj_loss: -0.6098 (-0.6079) time: 0.4898 data: 0.0017
[11-25 02:04:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.43 Lm: 6.563 (6.561) Lt: 5.771 (5.785) Accm: 3.21 (3.21) Acct: 5.06 (5.14) proj_loss: -0.5926 (-0.5897) time: 0.4898 data: 0.0019
[11-25 02:04:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:13:52 (0.499 s / it)
[11-25 02:04:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:13:52 (0.499 s / it)
[11-25 02:04:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:13:52 (0.499 s / it)
[11-25 02:04:46] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.611 (6.614), Lt: 5.873 (5.875), Acc m&t: 3.10 4.89, Remain: 1 day, 6:26:21, Finish: 2024-11-25 16:31
[11-25 02:04:46] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.611 (6.614), Lt: 5.873 (5.875), Acc m&t: 3.10 4.89, Remain: 1 day, 6:25:49, Finish: 2024-11-25 16:30
[11-25 02:04:46] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.611 (6.614), Lt: 5.873 (5.875), Acc m&t: 3.10 4.89, Remain: 1 day, 6:26:40, Finish: 2024-11-25 16:31
[11-25 02:04:46] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.611 (6.614), Lt: 5.873 (5.875), Acc m&t: 3.10 4.89, Remain: 1 day, 6:26:11, Finish: 2024-11-25 16:30
[11-25 02:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:12:50 tlr: 9.9e-05 tnm: 0.41 Lm: 6.542 (6.542) Lt: 5.770 (5.770) Accm: 3.37 (3.37) Acct: 5.58 (5.58) proj_loss: -0.6231 (-0.6231) time: 0.4615 data: 0.0003
[11-25 02:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:12:50 tlr: 9.9e-05 tnm: 0.41 Lm: 6.868 (6.868) Lt: 6.162 (6.162) Accm: 2.45 (2.45) Acct: 3.99 (3.99) proj_loss: -0.5846 (-0.5846) time: 0.4616 data: 0.0004
[11-25 02:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:12:50 tlr: 9.9e-05 tnm: 0.41 Lm: 6.537 (6.537) Lt: 5.777 (5.777) Accm: 3.06 (3.06) Acct: 4.79 (4.79) proj_loss: -0.5932 (-0.5932) time: 0.4619 data: 0.0003
[11-25 02:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:12:55 tlr: 9.9e-05 tnm: 0.41 Lm: 6.561 (6.561) Lt: 5.799 (5.799) Accm: 3.28 (3.28) Acct: 5.30 (5.30) proj_loss: -0.5952 (-0.5952) time: 0.4647 data: 0.0004
[11-25 02:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:10:56 tlr: 9.9e-05 tnm: 0.43 Lm: 6.579 (6.579) Lt: 5.823 (5.823) Accm: 3.37 (3.37) Acct: 5.42 (5.42) proj_loss: -0.5937 (-0.5937) time: 0.5444 data: 0.0003
[11-25 02:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:10:56 tlr: 9.9e-05 tnm: 0.43 Lm: 6.491 (6.491) Lt: 5.780 (5.780) Accm: 3.30 (3.30) Acct: 5.12 (5.12) proj_loss: -0.6078 (-0.6078) time: 0.5444 data: 0.0003
[11-25 02:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:10:56 tlr: 9.9e-05 tnm: 0.43 Lm: 6.690 (6.690) Lt: 5.940 (5.940) Accm: 2.96 (2.96) Acct: 4.78 (4.78) proj_loss: -0.5873 (-0.5873) time: 0.5444 data: 0.0003
[11-25 02:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:10:56 tlr: 9.9e-05 tnm: 0.43 Lm: 6.569 (6.569) Lt: 5.817 (5.817) Accm: 3.26 (3.26) Acct: 5.21 (5.21) proj_loss: -0.6127 (-0.6127) time: 0.5444 data: 0.0003
[11-25 02:11:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:07:12 tlr: 9.9e-05 tnm: 0.41 Lm: 6.597 (6.601) Lt: 5.863 (5.853) Accm: 3.15 (3.13) Acct: 4.84 (4.96) proj_loss: -0.6023 (-0.6036) time: 0.4898 data: 0.0003
[11-25 02:11:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:07:12 tlr: 9.9e-05 tnm: 0.41 Lm: 6.543 (6.641) Lt: 5.784 (5.888) Accm: 3.40 (3.11) Acct: 5.54 (5.03) proj_loss: -0.5901 (-0.5887) time: 0.4898 data: 0.0003
[11-25 02:11:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:07:12 tlr: 9.9e-05 tnm: 0.41 Lm: 6.537 (6.547) Lt: 5.784 (5.844) Accm: 3.14 (3.25) Acct: 4.79 (4.99) proj_loss: -0.5932 (-0.6020) time: 0.4898 data: 0.0003
[11-25 02:11:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:07:12 tlr: 9.9e-05 tnm: 0.41 Lm: 6.597 (6.602) Lt: 5.846 (5.853) Accm: 3.39 (3.38) Acct: 5.42 (5.42) proj_loss: -0.5921 (-0.5895) time: 0.4898 data: 0.0003
[11-25 02:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:03:32 tlr: 9.9e-05 tnm: 0.43 Lm: 6.610 (6.607) Lt: 5.870 (5.863) Accm: 3.34 (3.32) Acct: 5.36 (5.26) proj_loss: -0.5867 (-0.5865) time: 0.4919 data: 0.0003
[11-25 02:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:03:32 tlr: 9.9e-05 tnm: 0.43 Lm: 6.631 (6.626) Lt: 5.895 (5.876) Accm: 3.03 (3.07) Acct: 4.85 (4.94) proj_loss: -0.5938 (-0.5973) time: 0.4919 data: 0.0003
[11-25 02:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:03:32 tlr: 9.9e-05 tnm: 0.43 Lm: 6.520 (6.536) Lt: 5.780 (5.811) Accm: 3.30 (3.30) Acct: 5.12 (5.13) proj_loss: -0.5945 (-0.6005) time: 0.4919 data: 0.0003
[11-25 02:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:03:32 tlr: 9.9e-05 tnm: 0.43 Lm: 6.594 (6.642) Lt: 5.882 (5.911) Accm: 3.22 (3.09) Acct: 5.11 (4.94) proj_loss: -0.5907 (-0.5930) time: 0.4919 data: 0.0003
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.41 Lm: 6.627 (6.639) Lt: 5.981 (5.925) Accm: 3.06 (3.09) Acct: 4.77 (4.91) proj_loss: -0.5914 (-0.5969) time: 0.4931 data: 0.0020
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:14:01 (0.504 s / it)
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.41 Lm: 6.623 (6.611) Lt: 5.889 (5.868) Accm: 3.28 (3.26) Acct: 5.30 (5.18) proj_loss: -0.5855 (-0.5863) time: 0.4931 data: 0.0018
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.41 Lm: 6.665 (6.647) Lt: 5.927 (5.903) Accm: 2.90 (3.00) Acct: 4.84 (4.81) proj_loss: -0.5854 (-0.5903) time: 0.4931 data: 0.0015
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.41 Lm: 6.511 (6.531) Lt: 5.777 (5.785) Accm: 3.37 (3.31) Acct: 5.46 (5.27) proj_loss: -0.5932 (-0.5973) time: 0.4931 data: 0.0020
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:14:01 (0.504 s / it)
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:14:01 (0.504 s / it)
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:14:01 (0.504 s / it)
[11-25 02:18:48] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.611 (6.617), Lt: 5.873 (5.882), Acc m&t: 3.10 4.89, Remain: 1 day, 6:25:20, Finish: 2024-11-25 16:44
[11-25 02:18:48] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.611 (6.617), Lt: 5.873 (5.882), Acc m&t: 3.10 4.89, Remain: 1 day, 6:25:00, Finish: 2024-11-25 16:43
[11-25 02:18:48] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.611 (6.617), Lt: 5.873 (5.882), Acc m&t: 3.10 4.89, Remain: 1 day, 6:25:27, Finish: 2024-11-25 16:44
[11-25 02:18:48] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.611 (6.617), Lt: 5.873 (5.882), Acc m&t: 3.10 4.89, Remain: 1 day, 6:25:21, Finish: 2024-11-25 16:44
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:13:18 tlr: 9.9e-05 tnm: 0.41 Lm: 6.505 (6.505) Lt: 5.811 (5.811) Accm: 3.62 (3.62) Acct: 5.51 (5.51) proj_loss: -0.6282 (-0.6282) time: 0.4785 data: 0.0005
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:13:19 tlr: 9.9e-05 tnm: 0.41 Lm: 6.581 (6.581) Lt: 5.773 (5.773) Accm: 3.54 (3.54) Acct: 5.73 (5.73) proj_loss: -0.6007 (-0.6007) time: 0.4788 data: 0.0004
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:13:19 tlr: 9.9e-05 tnm: 0.41 Lm: 6.456 (6.456) Lt: 5.691 (5.691) Accm: 3.81 (3.81) Acct: 5.73 (5.73) proj_loss: -0.5882 (-0.5882) time: 0.4790 data: 0.0004
[11-25 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:13:17 tlr: 9.9e-05 tnm: 0.41 Lm: 6.637 (6.637) Lt: 5.972 (5.972) Accm: 3.01 (3.01) Acct: 4.46 (4.46) proj_loss: -0.6010 (-0.6010) time: 0.4779 data: 0.0003
[11-25 02:22:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:10:11 tlr: 9.8e-05 tnm: 0.41 Lm: 6.604 (6.604) Lt: 5.946 (5.946) Accm: 3.23 (3.23) Acct: 4.86 (4.86) proj_loss: -0.6084 (-0.6084) time: 0.4874 data: 0.0003
[11-25 02:22:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:10:11 tlr: 9.8e-05 tnm: 0.41 Lm: 6.660 (6.660) Lt: 5.895 (5.895) Accm: 3.28 (3.28) Acct: 5.25 (5.25) proj_loss: -0.6027 (-0.6027) time: 0.4874 data: 0.0003
[11-25 02:22:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:10:11 tlr: 9.8e-05 tnm: 0.41 Lm: 6.526 (6.526) Lt: 5.832 (5.832) Accm: 3.41 (3.41) Acct: 5.13 (5.13) proj_loss: -0.6125 (-0.6125) time: 0.4874 data: 0.0003
[11-25 02:22:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:10:11 tlr: 9.8e-05 tnm: 0.41 Lm: 6.564 (6.564) Lt: 5.791 (5.791) Accm: 3.42 (3.42) Acct: 5.26 (5.26) proj_loss: -0.5887 (-0.5887) time: 0.4874 data: 0.0003
[11-25 02:25:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:07:02 tlr: 9.8e-05 tnm: 0.43 Lm: 6.671 (6.599) Lt: 5.891 (5.849) Accm: 3.03 (3.25) Acct: 4.79 (4.99) proj_loss: -0.5892 (-0.5946) time: 0.5413 data: 0.0003
[11-25 02:25:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:07:02 tlr: 9.8e-05 tnm: 0.43 Lm: 6.547 (6.576) Lt: 5.852 (5.876) Accm: 3.19 (3.26) Acct: 4.75 (4.99) proj_loss: -0.6209 (-0.6153) time: 0.5413 data: 0.0003
[11-25 02:25:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:07:02 tlr: 9.8e-05 tnm: 0.43 Lm: 6.581 (6.630) Lt: 5.838 (5.876) Accm: 3.33 (3.29) Acct: 5.30 (5.27) proj_loss: -0.6022 (-0.6025) time: 0.5413 data: 0.0003
[11-25 02:25:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:07:02 tlr: 9.8e-05 tnm: 0.43 Lm: 6.637 (6.634) Lt: 5.972 (5.967) Accm: 3.01 (3.10) Acct: 4.46 (4.67) proj_loss: -0.6150 (-0.6106) time: 0.5413 data: 0.0003
[11-25 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:03:34 tlr: 9.8e-05 tnm: 0.43 Lm: 6.637 (6.635) Lt: 5.946 (5.941) Accm: 2.92 (3.03) Acct: 4.60 (4.69) proj_loss: -0.6150 (-0.6117) time: 0.4849 data: 0.0003
[11-25 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:03:34 tlr: 9.8e-05 tnm: 0.43 Lm: 6.668 (6.616) Lt: 5.907 (5.867) Accm: 3.02 (3.19) Acct: 4.65 (4.87) proj_loss: -0.5930 (-0.5951) time: 0.4849 data: 0.0003
[11-25 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:03:34 tlr: 9.8e-05 tnm: 0.43 Lm: 6.572 (6.581) Lt: 5.867 (5.877) Accm: 3.08 (3.17) Acct: 4.82 (4.96) proj_loss: -0.6088 (-0.6093) time: 0.4849 data: 0.0003
[11-25 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:03:34 tlr: 9.8e-05 tnm: 0.43 Lm: 6.592 (6.623) Lt: 5.876 (5.886) Accm: 3.23 (3.25) Acct: 5.11 (5.18) proj_loss: -0.6015 (-0.6018) time: 0.4849 data: 0.0003
[11-25 02:33:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.41 Lm: 6.581 (6.612) Lt: 5.838 (5.868) Accm: 3.13 (3.16) Acct: 4.92 (4.99) proj_loss: -0.6007 (-0.5971) time: 0.4909 data: 0.0019
[11-25 02:33:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:14:14 (0.512 s / it)
[11-25 02:33:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.41 Lm: 6.597 (6.600) Lt: 5.882 (5.895) Accm: 2.97 (3.08) Acct: 4.75 (4.84) proj_loss: -0.5967 (-0.6051) time: 0.4909 data: 0.0019
[11-25 02:33:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.41 Lm: 6.637 (6.635) Lt: 5.919 (5.935) Accm: 3.01 (3.03) Acct: 4.73 (4.70) proj_loss: -0.6150 (-0.6102) time: 0.4909 data: 0.0016
[11-25 02:33:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.41 Lm: 6.666 (6.578) Lt: 5.891 (5.837) Accm: 3.03 (3.29) Acct: 4.79 (4.98) proj_loss: -0.5968 (-0.5958) time: 0.4909 data: 0.0016
[11-25 02:33:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:14:14 (0.512 s / it)
[11-25 02:33:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:14:14 (0.512 s / it)
[11-25 02:33:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:14:14 (0.512 s / it)
[11-25 02:33:02] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.609 (6.609), Lt: 5.873 (5.875), Acc m&t: 3.10 4.89, Remain: 1 day, 6:06:25, Finish: 2024-11-25 16:39
[11-25 02:33:02] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.609 (6.609), Lt: 5.873 (5.875), Acc m&t: 3.10 4.89, Remain: 1 day, 6:07:40, Finish: 2024-11-25 16:40
[11-25 02:33:02] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.609 (6.609), Lt: 5.873 (5.875), Acc m&t: 3.10 4.89, Remain: 1 day, 6:06:05, Finish: 2024-11-25 16:39
[11-25 02:33:02] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.609 (6.609), Lt: 5.873 (5.875), Acc m&t: 3.10 4.89, Remain: 1 day, 6:03:59, Finish: 2024-11-25 16:37
[11-25 02:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:13:32 tlr: 9.8e-05 tnm: 0.41 Lm: 6.579 (6.579) Lt: 5.782 (5.782) Accm: 3.23 (3.23) Acct: 5.22 (5.22) proj_loss: -0.5807 (-0.5807) time: 0.4870 data: 0.0003
[11-25 02:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:13:33 tlr: 9.8e-05 tnm: 0.41 Lm: 6.650 (6.650) Lt: 5.938 (5.938) Accm: 2.91 (2.91) Acct: 4.29 (4.29) proj_loss: -0.6143 (-0.6143) time: 0.4875 data: 0.0004
[11-25 02:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:13:34 tlr: 9.8e-05 tnm: 0.41 Lm: 6.551 (6.551) Lt: 5.853 (5.853) Accm: 3.15 (3.15) Acct: 4.46 (4.46) proj_loss: -0.5992 (-0.5992) time: 0.4877 data: 0.0004
[11-25 02:33:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:13:33 tlr: 9.8e-05 tnm: 0.41 Lm: 6.466 (6.466) Lt: 5.722 (5.722) Accm: 3.58 (3.58) Acct: 5.58 (5.58) proj_loss: -0.5930 (-0.5930) time: 0.4877 data: 0.0004
[11-25 02:36:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:10:13 tlr: 9.8e-05 tnm: 0.41 Lm: 6.581 (6.581) Lt: 5.843 (5.843) Accm: 3.29 (3.29) Acct: 5.07 (5.07) proj_loss: -0.5956 (-0.5956) time: 0.4894 data: 0.0003
[11-25 02:36:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:10:13 tlr: 9.8e-05 tnm: 0.41 Lm: 6.666 (6.666) Lt: 5.965 (5.965) Accm: 2.89 (2.89) Acct: 4.36 (4.36) proj_loss: -0.6160 (-0.6160) time: 0.4894 data: 0.0003
[11-25 02:36:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:10:13 tlr: 9.8e-05 tnm: 0.41 Lm: 6.545 (6.545) Lt: 5.751 (5.751) Accm: 3.48 (3.48) Acct: 5.59 (5.59) proj_loss: -0.5964 (-0.5964) time: 0.4894 data: 0.0003
[11-25 02:36:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:10:13 tlr: 9.8e-05 tnm: 0.41 Lm: 6.638 (6.638) Lt: 5.919 (5.919) Accm: 2.97 (2.97) Acct: 4.40 (4.40) proj_loss: -0.5868 (-0.5868) time: 0.4894 data: 0.0003
[11-25 02:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:06:49 tlr: 9.8e-05 tnm: 0.42 Lm: 6.551 (6.603) Lt: 5.853 (5.882) Accm: 3.15 (3.08) Acct: 4.46 (4.64) proj_loss: -0.5992 (-0.5929) time: 0.4894 data: 0.0003
[11-25 02:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:06:49 tlr: 9.8e-05 tnm: 0.42 Lm: 6.650 (6.628) Lt: 5.938 (5.925) Accm: 2.91 (3.02) Acct: 4.44 (4.59) proj_loss: -0.6143 (-0.6119) time: 0.4894 data: 0.0003
[11-25 02:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:06:49 tlr: 9.8e-05 tnm: 0.42 Lm: 6.579 (6.591) Lt: 5.782 (5.809) Accm: 3.23 (3.25) Acct: 5.22 (5.18) proj_loss: -0.6017 (-0.5982) time: 0.4894 data: 0.0003
[11-25 02:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:06:49 tlr: 9.8e-05 tnm: 0.42 Lm: 6.695 (6.686) Lt: 5.964 (5.961) Accm: 2.99 (3.01) Acct: 4.56 (4.66) proj_loss: -0.5930 (-0.5886) time: 0.4894 data: 0.0003
[11-25 02:43:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:03:27 tlr: 9.7e-05 tnm: 0.43 Lm: 6.665 (6.674) Lt: 5.936 (5.948) Accm: 2.99 (3.00) Acct: 4.52 (4.61) proj_loss: -0.5889 (-0.5876) time: 0.4885 data: 0.0003
[11-25 02:43:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:03:27 tlr: 9.7e-05 tnm: 0.43 Lm: 6.602 (6.582) Lt: 5.893 (5.869) Accm: 3.10 (3.11) Acct: 4.74 (4.73) proj_loss: -0.6137 (-0.6122) time: 0.4885 data: 0.0003
[11-25 02:43:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:03:27 tlr: 9.7e-05 tnm: 0.43 Lm: 6.615 (6.622) Lt: 5.917 (5.907) Accm: 2.98 (3.01) Acct: 4.49 (4.61) proj_loss: -0.5949 (-0.5923) time: 0.4885 data: 0.0003
[11-25 02:43:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:03:27 tlr: 9.7e-05 tnm: 0.43 Lm: 6.587 (6.592) Lt: 5.806 (5.814) Accm: 3.12 (3.19) Acct: 4.87 (5.02) proj_loss: -0.6008 (-0.5986) time: 0.4885 data: 0.0003
[11-25 02:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.41 Lm: 6.596 (6.614) Lt: 5.830 (5.856) Accm: 3.05 (3.16) Acct: 4.58 (4.93) proj_loss: -0.6000 (-0.5978) time: 0.5430 data: 0.0013
[11-25 02:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:13:55 (0.501 s / it)
[11-25 02:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.41 Lm: 6.555 (6.577) Lt: 5.847 (5.856) Accm: 3.29 (3.16) Acct: 5.04 (4.79) proj_loss: -0.6132 (-0.6113) time: 0.5430 data: 0.0020
[11-25 02:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.41 Lm: 6.636 (6.643) Lt: 5.908 (5.925) Accm: 2.99 (3.03) Acct: 4.56 (4.68) proj_loss: -0.5930 (-0.5917) time: 0.5430 data: 0.0019
[11-25 02:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.41 Lm: 6.554 (6.609) Lt: 5.864 (5.898) Accm: 3.15 (3.06) Acct: 4.53 (4.71) proj_loss: -0.5963 (-0.5931) time: 0.5430 data: 0.0020
[11-25 02:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:13:55 (0.501 s / it)
[11-25 02:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:13:55 (0.501 s / it)
[11-25 02:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:13:55 (0.501 s / it)
[11-25 02:49:11] (home/user/VAR/trainer.py, line 114)=> FID: 3.8346694346021195
[11-25 02:49:11] (/home/user/VAR/train.py , line 259)=> [*] [ep219] (val 50000) Lm: 6.6102, Lt: 5.8705, Acc m&t: 3.10 4.90, Val cost: 132.90s
[11-25 02:49:11] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 02:49:25] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.609 (6.610), Lt: 5.871 (5.871), Acc m&t: 3.10 4.90, Remain: 1 day, 5:48:32, Finish: 2024-11-25 16:35
[11-25 02:49:25] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.609 (6.610), Lt: 5.871 (5.871), Acc m&t: 3.10 4.90, Remain: 1 day, 5:47:10, Finish: 2024-11-25 16:34
[11-25 02:49:25] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.609 (6.610), Lt: 5.871 (5.871), Acc m&t: 3.10 4.90, Remain: 1 day, 5:46:52, Finish: 2024-11-25 16:33
[11-25 02:49:25] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.609 (6.610), Lt: 5.871 (5.871), Acc m&t: 3.10 4.90, Remain: 1 day, 5:47:21, Finish: 2024-11-25 16:34
[11-25 02:49:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:13:50 tlr: 9.7e-05 tnm: 0.42 Lm: 6.588 (6.588) Lt: 5.901 (5.901) Accm: 3.01 (3.01) Acct: 4.55 (4.55) proj_loss: -0.6006 (-0.6006) time: 0.4976 data: 0.0003
[11-25 02:49:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:13:50 tlr: 9.7e-05 tnm: 0.42 Lm: 6.667 (6.667) Lt: 5.942 (5.942) Accm: 3.12 (3.12) Acct: 4.70 (4.70) proj_loss: -0.5846 (-0.5846) time: 0.4977 data: 0.0004
[11-25 02:49:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:13:59 tlr: 9.7e-05 tnm: 0.42 Lm: 6.669 (6.669) Lt: 5.908 (5.908) Accm: 3.07 (3.07) Acct: 4.79 (4.79) proj_loss: -0.5861 (-0.5861) time: 0.5033 data: 0.0004
[11-25 02:49:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:14:01 tlr: 9.7e-05 tnm: 0.42 Lm: 6.488 (6.488) Lt: 5.713 (5.713) Accm: 3.42 (3.42) Acct: 5.54 (5.54) proj_loss: -0.5968 (-0.5968) time: 0.5044 data: 0.0004
[11-25 02:53:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:11:04 tlr: 9.7e-05 tnm: 0.43 Lm: 6.592 (6.592) Lt: 5.838 (5.838) Accm: 3.09 (3.09) Acct: 4.99 (4.99) proj_loss: -0.5948 (-0.5948) time: 0.4911 data: 0.0003
[11-25 02:53:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:11:04 tlr: 9.7e-05 tnm: 0.43 Lm: 6.585 (6.585) Lt: 5.890 (5.890) Accm: 3.27 (3.27) Acct: 4.93 (4.93) proj_loss: -0.5958 (-0.5958) time: 0.4911 data: 0.0003
[11-25 02:53:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:11:04 tlr: 9.7e-05 tnm: 0.43 Lm: 6.704 (6.704) Lt: 5.993 (5.993) Accm: 2.68 (2.68) Acct: 4.09 (4.09) proj_loss: -0.5896 (-0.5896) time: 0.4911 data: 0.0003
[11-25 02:53:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:11:04 tlr: 9.7e-05 tnm: 0.43 Lm: 6.646 (6.646) Lt: 5.916 (5.916) Accm: 2.98 (2.98) Acct: 4.80 (4.80) proj_loss: -0.5853 (-0.5853) time: 0.4911 data: 0.0003
[11-25 02:56:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:07:09 tlr: 9.7e-05 tnm: 0.39 Lm: 6.624 (6.617) Lt: 5.908 (5.877) Accm: 3.07 (3.10) Acct: 4.82 (4.91) proj_loss: -0.5861 (-0.5967) time: 0.4902 data: 0.0003
[11-25 02:56:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:07:09 tlr: 9.7e-05 tnm: 0.39 Lm: 6.588 (6.610) Lt: 5.901 (5.876) Accm: 3.01 (3.04) Acct: 4.55 (4.67) proj_loss: -0.6006 (-0.5950) time: 0.4902 data: 0.0003
[11-25 02:56:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:07:09 tlr: 9.7e-05 tnm: 0.39 Lm: 6.503 (6.547) Lt: 5.837 (5.827) Accm: 3.42 (3.36) Acct: 5.17 (5.18) proj_loss: -0.5895 (-0.5937) time: 0.4902 data: 0.0003
[11-25 02:56:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:07:09 tlr: 9.7e-05 tnm: 0.39 Lm: 6.696 (6.627) Lt: 5.959 (5.878) Accm: 2.84 (3.01) Acct: 4.56 (4.85) proj_loss: -0.5968 (-0.5962) time: 0.4902 data: 0.0003
[11-25 03:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:03:31 tlr: 9.7e-05 tnm: 0.41 Lm: 6.654 (6.623) Lt: 5.931 (5.884) Accm: 2.88 (2.99) Acct: 4.61 (4.80) proj_loss: -0.5980 (-0.5975) time: 0.4869 data: 0.0003
[11-25 03:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:03:31 tlr: 9.7e-05 tnm: 0.41 Lm: 6.590 (6.587) Lt: 5.860 (5.861) Accm: 3.09 (3.10) Acct: 4.81 (4.88) proj_loss: -0.5959 (-0.5989) time: 0.4869 data: 0.0003
[11-25 03:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:03:31 tlr: 9.7e-05 tnm: 0.41 Lm: 6.645 (6.633) Lt: 5.949 (5.906) Accm: 2.94 (3.00) Acct: 4.62 (4.67) proj_loss: -0.6032 (-0.5997) time: 0.4869 data: 0.0003
[11-25 03:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:03:31 tlr: 9.7e-05 tnm: 0.41 Lm: 6.571 (6.570) Lt: 5.890 (5.862) Accm: 3.27 (3.29) Acct: 4.94 (5.07) proj_loss: -0.5982 (-0.5981) time: 0.4869 data: 0.0003
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.41 Lm: 6.638 (6.595) Lt: 5.942 (5.894) Accm: 3.12 (3.23) Acct: 4.73 (5.00) proj_loss: -0.6069 (-0.6000) time: 0.4935 data: 0.0021
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:13:58 (0.502 s / it)
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.41 Lm: 6.701 (6.648) Lt: 5.984 (5.922) Accm: 2.91 (2.98) Acct: 4.70 (4.71) proj_loss: -0.6006 (-0.5992) time: 0.4935 data: 0.0017
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.41 Lm: 6.624 (6.596) Lt: 5.908 (5.876) Accm: 3.10 (3.10) Acct: 4.82 (4.89) proj_loss: -0.6024 (-0.5996) time: 0.4935 data: 0.0014
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.41 Lm: 6.696 (6.649) Lt: 5.959 (5.914) Accm: 2.84 (2.95) Acct: 4.56 (4.74) proj_loss: -0.5968 (-0.5965) time: 0.4935 data: 0.0019
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:13:58 (0.502 s / it)
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:13:58 (0.502 s / it)
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:13:58 (0.502 s / it)
[11-25 03:03:24] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.609 (6.624), Lt: 5.871 (5.892), Acc m&t: 3.10 4.90, Remain: 1 day, 5:47:08, Finish: 2024-11-25 16:50
[11-25 03:03:24] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.609 (6.624), Lt: 5.871 (5.892), Acc m&t: 3.10 4.90, Remain: 1 day, 5:48:06, Finish: 2024-11-25 16:51
[11-25 03:03:24] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.609 (6.624), Lt: 5.871 (5.892), Acc m&t: 3.10 4.90, Remain: 1 day, 5:47:09, Finish: 2024-11-25 16:50
[11-25 03:03:24] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.609 (6.624), Lt: 5.871 (5.892), Acc m&t: 3.10 4.90, Remain: 1 day, 5:47:56, Finish: 2024-11-25 16:51
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:13:15 tlr: 9.6e-05 tnm: 0.43 Lm: 6.503 (6.503) Lt: 5.786 (5.786) Accm: 3.66 (3.66) Acct: 5.68 (5.68) proj_loss: -0.6066 (-0.6066) time: 0.4766 data: 0.0003
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:13:45 tlr: 9.6e-05 tnm: 0.43 Lm: 6.611 (6.611) Lt: 5.855 (5.855) Accm: 3.02 (3.02) Acct: 4.96 (4.96) proj_loss: -0.5939 (-0.5939) time: 0.4944 data: 0.0004
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:13:16 tlr: 9.6e-05 tnm: 0.43 Lm: 6.732 (6.732) Lt: 6.051 (6.051) Accm: 2.60 (2.60) Acct: 4.13 (4.13) proj_loss: -0.5928 (-0.5928) time: 0.4770 data: 0.0004
[11-25 03:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:13:13 tlr: 9.6e-05 tnm: 0.43 Lm: 6.591 (6.591) Lt: 5.834 (5.834) Accm: 2.70 (2.70) Acct: 4.44 (4.44) proj_loss: -0.5909 (-0.5909) time: 0.4754 data: 0.0004
[11-25 03:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:10:17 tlr: 9.6e-05 tnm: 0.43 Lm: 6.557 (6.557) Lt: 5.806 (5.806) Accm: 2.86 (2.86) Acct: 4.42 (4.42) proj_loss: -0.5969 (-0.5969) time: 0.4854 data: 0.0003
[11-25 03:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:10:17 tlr: 9.6e-05 tnm: 0.43 Lm: 6.537 (6.537) Lt: 5.794 (5.794) Accm: 3.42 (3.42) Acct: 5.29 (5.29) proj_loss: -0.6042 (-0.6042) time: 0.4854 data: 0.0003
[11-25 03:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:10:17 tlr: 9.6e-05 tnm: 0.43 Lm: 6.636 (6.636) Lt: 5.875 (5.875) Accm: 3.09 (3.09) Acct: 5.07 (5.07) proj_loss: -0.5917 (-0.5917) time: 0.4854 data: 0.0003
[11-25 03:06:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:10:17 tlr: 9.6e-05 tnm: 0.43 Lm: 6.695 (6.695) Lt: 5.985 (5.985) Accm: 2.79 (2.79) Acct: 4.31 (4.31) proj_loss: -0.5984 (-0.5984) time: 0.4854 data: 0.0003
[11-25 03:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:07:12 tlr: 9.6e-05 tnm: 0.43 Lm: 6.732 (6.742) Lt: 6.051 (6.025) Accm: 2.60 (2.72) Acct: 4.20 (4.28) proj_loss: -0.5928 (-0.5962) time: 0.4933 data: 0.0003
[11-25 03:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:07:12 tlr: 9.6e-05 tnm: 0.43 Lm: 6.523 (6.522) Lt: 5.778 (5.766) Accm: 3.01 (3.09) Acct: 4.44 (4.84) proj_loss: -0.5957 (-0.5965) time: 0.4933 data: 0.0003
[11-25 03:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:07:12 tlr: 9.6e-05 tnm: 0.43 Lm: 6.572 (6.640) Lt: 5.803 (5.922) Accm: 3.18 (3.07) Acct: 4.91 (4.79) proj_loss: -0.6066 (-0.6066) time: 0.4933 data: 0.0003
[11-25 03:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:07:12 tlr: 9.6e-05 tnm: 0.43 Lm: 6.660 (6.644) Lt: 5.896 (5.900) Accm: 3.02 (3.04) Acct: 4.96 (4.87) proj_loss: -0.5896 (-0.5908) time: 0.4933 data: 0.0003
[11-25 03:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:03:37 tlr: 9.6e-05 tnm: 0.40 Lm: 6.660 (6.669) Lt: 5.923 (5.921) Accm: 3.01 (3.03) Acct: 4.90 (4.86) proj_loss: -0.5904 (-0.5909) time: 0.5393 data: 0.0003
[11-25 03:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:03:37 tlr: 9.6e-05 tnm: 0.40 Lm: 6.582 (6.628) Lt: 5.804 (5.892) Accm: 3.17 (3.09) Acct: 4.94 (4.84) proj_loss: -0.6042 (-0.6031) time: 0.5393 data: 0.0002
[11-25 03:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:03:37 tlr: 9.6e-05 tnm: 0.40 Lm: 6.695 (6.694) Lt: 5.985 (5.972) Accm: 2.79 (2.92) Acct: 4.35 (4.52) proj_loss: -0.5984 (-0.6031) time: 0.5394 data: 0.0003
[11-25 03:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:03:37 tlr: 9.6e-05 tnm: 0.40 Lm: 6.557 (6.573) Lt: 5.806 (5.819) Accm: 2.86 (3.00) Acct: 4.42 (4.66) proj_loss: -0.5933 (-0.5919) time: 0.5394 data: 0.0003
[11-25 03:17:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.43 Lm: 6.591 (6.577) Lt: 5.834 (5.834) Accm: 3.01 (3.04) Acct: 4.44 (4.71) proj_loss: -0.5909 (-0.5912) time: 0.4928 data: 0.0018
[11-25 03:17:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:14:16 (0.513 s / it)
[11-25 03:17:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.43 Lm: 6.659 (6.670) Lt: 5.919 (5.940) Accm: 2.97 (2.99) Acct: 4.49 (4.61) proj_loss: -0.5928 (-0.6008) time: 0.4928 data: 0.0018
[11-25 03:17:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.43 Lm: 6.572 (6.582) Lt: 5.803 (5.836) Accm: 3.18 (3.19) Acct: 4.98 (5.07) proj_loss: -0.6017 (-0.6016) time: 0.4928 data: 0.0020
[11-25 03:17:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.43 Lm: 6.660 (6.641) Lt: 5.896 (5.887) Accm: 3.02 (3.06) Acct: 4.86 (4.86) proj_loss: -0.5911 (-0.5912) time: 0.4928 data: 0.0016
[11-25 03:17:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:14:16 (0.513 s / it)
[11-25 03:17:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:14:16 (0.513 s / it)
[11-25 03:17:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:14:16 (0.513 s / it)
[11-25 03:17:40] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.608 (6.608), Lt: 5.866 (5.866), Acc m&t: 3.10 4.90, Remain: 1 day, 5:28:26, Finish: 2024-11-25 16:46
[11-25 03:17:40] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.608 (6.608), Lt: 5.866 (5.866), Acc m&t: 3.10 4.90, Remain: 1 day, 5:28:01, Finish: 2024-11-25 16:45
[11-25 03:17:40] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.608 (6.608), Lt: 5.866 (5.866), Acc m&t: 3.10 4.90, Remain: 1 day, 5:27:42, Finish: 2024-11-25 16:45
[11-25 03:17:40] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.608 (6.608), Lt: 5.866 (5.866), Acc m&t: 3.10 4.90, Remain: 1 day, 5:28:13, Finish: 2024-11-25 16:45
[11-25 03:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:13:24 tlr: 9.6e-05 tnm: 0.44 Lm: 6.610 (6.610) Lt: 5.847 (5.847) Accm: 3.04 (3.04) Acct: 4.67 (4.67) proj_loss: -0.5987 (-0.5987) time: 0.4820 data: 0.0004
[11-25 03:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:13:16 tlr: 9.6e-05 tnm: 0.44 Lm: 6.680 (6.680) Lt: 5.921 (5.921) Accm: 2.81 (2.81) Acct: 4.42 (4.42) proj_loss: -0.5997 (-0.5997) time: 0.4771 data: 0.0004
[11-25 03:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:13:16 tlr: 9.6e-05 tnm: 0.44 Lm: 6.748 (6.748) Lt: 6.031 (6.031) Accm: 2.96 (2.96) Acct: 4.60 (4.60) proj_loss: -0.5835 (-0.5835) time: 0.4770 data: 0.0003
[11-25 03:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:13:23 tlr: 9.6e-05 tnm: 0.44 Lm: 6.572 (6.572) Lt: 5.774 (5.774) Accm: 3.13 (3.13) Acct: 4.98 (4.98) proj_loss: -0.5848 (-0.5848) time: 0.4817 data: 0.0004
[11-25 03:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:10:14 tlr: 9.6e-05 tnm: 0.42 Lm: 6.558 (6.558) Lt: 5.778 (5.778) Accm: 3.24 (3.24) Acct: 5.16 (5.16) proj_loss: -0.5783 (-0.5783) time: 0.4927 data: 0.0003
[11-25 03:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:10:14 tlr: 9.6e-05 tnm: 0.42 Lm: 6.676 (6.676) Lt: 5.928 (5.928) Accm: 3.04 (3.04) Acct: 4.65 (4.65) proj_loss: -0.5840 (-0.5840) time: 0.4927 data: 0.0003
[11-25 03:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:10:14 tlr: 9.6e-05 tnm: 0.42 Lm: 6.655 (6.655) Lt: 5.895 (5.895) Accm: 2.97 (2.97) Acct: 4.80 (4.80) proj_loss: -0.6003 (-0.6003) time: 0.4927 data: 0.0003
[11-25 03:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:10:14 tlr: 9.6e-05 tnm: 0.42 Lm: 6.579 (6.579) Lt: 5.822 (5.822) Accm: 3.18 (3.18) Acct: 5.02 (5.02) proj_loss: -0.5918 (-0.5918) time: 0.4927 data: 0.0003
[11-25 03:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:06:49 tlr: 9.5e-05 tnm: 0.42 Lm: 6.610 (6.595) Lt: 5.847 (5.847) Accm: 3.31 (3.22) Acct: 5.22 (5.08) proj_loss: -0.5987 (-0.5993) time: 0.4893 data: 0.0003
[11-25 03:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:06:49 tlr: 9.5e-05 tnm: 0.42 Lm: 6.544 (6.543) Lt: 5.774 (5.774) Accm: 3.35 (3.37) Acct: 5.34 (5.35) proj_loss: -0.5848 (-0.5877) time: 0.4893 data: 0.0003
[11-25 03:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:06:49 tlr: 9.5e-05 tnm: 0.42 Lm: 6.634 (6.662) Lt: 5.846 (5.901) Accm: 2.96 (3.00) Acct: 4.63 (4.64) proj_loss: -0.5835 (-0.5813) time: 0.4893 data: 0.0003
[11-25 03:24:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:06:49 tlr: 9.5e-05 tnm: 0.42 Lm: 6.631 (6.622) Lt: 5.869 (5.874) Accm: 3.13 (3.06) Acct: 5.13 (4.91) proj_loss: -0.5997 (-0.5998) time: 0.4894 data: 0.0003
[11-25 03:28:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:03:28 tlr: 9.5e-05 tnm: 0.43 Lm: 6.594 (6.604) Lt: 5.850 (5.857) Accm: 3.14 (3.09) Acct: 5.02 (4.91) proj_loss: -0.5992 (-0.5986) time: 0.4902 data: 0.0003
[11-25 03:28:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:03:28 tlr: 9.5e-05 tnm: 0.43 Lm: 6.579 (6.567) Lt: 5.822 (5.810) Accm: 3.31 (3.25) Acct: 5.29 (5.15) proj_loss: -0.5946 (-0.5971) time: 0.4902 data: 0.0003
[11-25 03:28:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:03:28 tlr: 9.5e-05 tnm: 0.43 Lm: 6.620 (6.638) Lt: 5.836 (5.874) Accm: 3.04 (3.13) Acct: 4.67 (4.88) proj_loss: -0.5840 (-0.5867) time: 0.4902 data: 0.0003
[11-25 03:28:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:03:28 tlr: 9.5e-05 tnm: 0.43 Lm: 6.558 (6.551) Lt: 5.778 (5.794) Accm: 3.27 (3.32) Acct: 5.19 (5.27) proj_loss: -0.5882 (-0.5887) time: 0.4902 data: 0.0003
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.41 Lm: 6.556 (6.552) Lt: 5.782 (5.801) Accm: 3.35 (3.33) Acct: 5.34 (5.31) proj_loss: -0.5915 (-0.5923) time: 0.5999 data: 0.0021
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:14:03 (0.506 s / it)
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.41 Lm: 6.570 (6.568) Lt: 5.829 (5.814) Accm: 3.31 (3.25) Acct: 5.23 (5.17) proj_loss: -0.5920 (-0.5960) time: 0.5999 data: 0.0014
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.41 Lm: 6.631 (6.612) Lt: 5.869 (5.865) Accm: 3.13 (3.05) Acct: 4.91 (4.85) proj_loss: -0.5988 (-0.5977) time: 0.5999 data: 0.0016
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.41 Lm: 6.605 (6.604) Lt: 5.825 (5.841) Accm: 3.12 (3.18) Acct: 4.70 (4.95) proj_loss: -0.5846 (-0.5866) time: 0.5999 data: 0.0019
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:14:03 (0.506 s / it)
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:14:03 (0.506 s / it)
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:14:03 (0.506 s / it)
[11-25 03:31:44] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.608 (6.612), Lt: 5.866 (5.870), Acc m&t: 3.10 4.90, Remain: 1 day, 5:18:53, Finish: 2024-11-25 16:50
[11-25 03:31:44] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.608 (6.612), Lt: 5.866 (5.870), Acc m&t: 3.10 4.90, Remain: 1 day, 5:18:58, Finish: 2024-11-25 16:50
[11-25 03:31:44] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.608 (6.612), Lt: 5.866 (5.870), Acc m&t: 3.10 4.90, Remain: 1 day, 5:18:51, Finish: 2024-11-25 16:50
[11-25 03:31:44] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.608 (6.612), Lt: 5.866 (5.870), Acc m&t: 3.10 4.90, Remain: 1 day, 5:19:02, Finish: 2024-11-25 16:50
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:13:00 tlr: 9.5e-05 tnm: 0.43 Lm: 6.553 (6.553) Lt: 5.847 (5.847) Accm: 3.05 (3.05) Acct: 4.72 (4.72) proj_loss: -0.6041 (-0.6041) time: 0.4678 data: 0.0003
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:13:02 tlr: 9.5e-05 tnm: 0.43 Lm: 6.660 (6.660) Lt: 5.932 (5.932) Accm: 2.78 (2.78) Acct: 4.20 (4.20) proj_loss: -0.5938 (-0.5938) time: 0.4689 data: 0.0003
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:13:02 tlr: 9.5e-05 tnm: 0.43 Lm: 6.657 (6.657) Lt: 5.939 (5.939) Accm: 3.25 (3.25) Acct: 5.10 (5.10) proj_loss: -0.5920 (-0.5920) time: 0.4691 data: 0.0004
[11-25 03:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:13:07 tlr: 9.5e-05 tnm: 0.43 Lm: 6.685 (6.685) Lt: 5.921 (5.921) Accm: 3.02 (3.02) Acct: 4.89 (4.89) proj_loss: -0.6068 (-0.6068) time: 0.4720 data: 0.0004
[11-25 03:35:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:10:51 tlr: 9.5e-05 tnm: 0.45 Lm: 6.495 (6.495) Lt: 5.725 (5.725) Accm: 3.44 (3.44) Acct: 5.37 (5.37) proj_loss: -0.6089 (-0.6089) time: 0.4913 data: 0.0003
[11-25 03:35:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:10:51 tlr: 9.5e-05 tnm: 0.45 Lm: 6.700 (6.700) Lt: 6.017 (6.017) Accm: 2.80 (2.80) Acct: 4.23 (4.23) proj_loss: -0.6059 (-0.6059) time: 0.4913 data: 0.0003
[11-25 03:35:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:10:51 tlr: 9.5e-05 tnm: 0.45 Lm: 6.648 (6.648) Lt: 5.910 (5.910) Accm: 2.92 (2.92) Acct: 4.59 (4.59) proj_loss: -0.6007 (-0.6007) time: 0.4913 data: 0.0003
[11-25 03:35:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:10:51 tlr: 9.5e-05 tnm: 0.45 Lm: 6.507 (6.507) Lt: 5.768 (5.768) Accm: 3.66 (3.66) Acct: 5.76 (5.76) proj_loss: -0.5991 (-0.5991) time: 0.4913 data: 0.0003
[11-25 03:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:07:01 tlr: 9.5e-05 tnm: 0.43 Lm: 6.474 (6.496) Lt: 5.648 (5.728) Accm: 3.51 (3.61) Acct: 5.68 (5.73) proj_loss: -0.5962 (-0.5981) time: 0.4896 data: 0.0003
[11-25 03:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:07:01 tlr: 9.5e-05 tnm: 0.43 Lm: 6.685 (6.580) Lt: 5.921 (5.834) Accm: 3.02 (3.23) Acct: 4.89 (4.96) proj_loss: -0.6068 (-0.5969) time: 0.4896 data: 0.0003
[11-25 03:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:07:01 tlr: 9.5e-05 tnm: 0.43 Lm: 6.785 (6.728) Lt: 6.109 (6.047) Accm: 2.54 (2.67) Acct: 3.74 (4.05) proj_loss: -0.6069 (-0.6062) time: 0.4896 data: 0.0003
[11-25 03:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:07:01 tlr: 9.5e-05 tnm: 0.43 Lm: 6.635 (6.564) Lt: 5.887 (5.821) Accm: 3.07 (3.12) Acct: 4.98 (4.88) proj_loss: -0.5938 (-0.5971) time: 0.4896 data: 0.0003
[11-25 03:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:03:29 tlr: 9.4e-05 tnm: 0.43 Lm: 6.565 (6.546) Lt: 5.793 (5.794) Accm: 3.38 (3.45) Acct: 5.39 (5.51) proj_loss: -0.5941 (-0.5924) time: 0.4939 data: 0.0003
[11-25 03:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:03:29 tlr: 9.4e-05 tnm: 0.43 Lm: 6.675 (6.601) Lt: 5.961 (5.876) Accm: 2.98 (3.16) Acct: 4.62 (4.81) proj_loss: -0.6089 (-0.6014) time: 0.4939 data: 0.0003
[11-25 03:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:03:29 tlr: 9.4e-05 tnm: 0.43 Lm: 6.691 (6.696) Lt: 5.978 (5.990) Accm: 2.67 (2.70) Acct: 4.10 (4.15) proj_loss: -0.6055 (-0.6048) time: 0.4939 data: 0.0003
[11-25 03:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:03:29 tlr: 9.4e-05 tnm: 0.43 Lm: 6.557 (6.542) Lt: 5.801 (5.795) Accm: 3.18 (3.16) Acct: 5.11 (4.98) proj_loss: -0.5988 (-0.5988) time: 0.4940 data: 0.0003
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.42 Lm: 6.556 (6.545) Lt: 5.787 (5.793) Accm: 3.28 (3.19) Acct: 5.25 (5.09) proj_loss: -0.5938 (-0.5977) time: 0.4910 data: 0.0018
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:13:50 (0.498 s / it)
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.42 Lm: 6.598 (6.666) Lt: 5.847 (5.953) Accm: 2.79 (2.80) Acct: 4.46 (4.26) proj_loss: -0.6041 (-0.6032) time: 0.4910 data: 0.0014
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.42 Lm: 6.657 (6.570) Lt: 5.939 (5.824) Accm: 3.25 (3.39) Acct: 5.10 (5.41) proj_loss: -0.5962 (-0.5933) time: 0.4910 data: 0.0016
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.42 Lm: 6.685 (6.623) Lt: 6.001 (5.901) Accm: 2.96 (3.12) Acct: 4.48 (4.74) proj_loss: -0.6068 (-0.5948) time: 0.4910 data: 0.0017
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:13:50 (0.498 s / it)
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:13:50 (0.498 s / it)
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:13:50 (0.498 s / it)
[11-25 03:45:35] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.594 (6.594), Lt: 5.850 (5.850), Acc m&t: 3.16 4.96, Remain: 1 day, 4:59:58, Finish: 2024-11-25 16:45
[11-25 03:45:35] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.594 (6.594), Lt: 5.850 (5.850), Acc m&t: 3.16 4.96, Remain: 1 day, 4:59:48, Finish: 2024-11-25 16:45
[11-25 03:45:35] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.594 (6.594), Lt: 5.850 (5.850), Acc m&t: 3.16 4.96, Remain: 1 day, 4:59:45, Finish: 2024-11-25 16:45
[11-25 03:45:35] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.594 (6.594), Lt: 5.850 (5.850), Acc m&t: 3.16 4.96, Remain: 1 day, 4:59:37, Finish: 2024-11-25 16:45
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:13:02 tlr: 9.4e-05 tnm: 0.41 Lm: 6.613 (6.613) Lt: 5.887 (5.887) Accm: 3.12 (3.12) Acct: 4.94 (4.94) proj_loss: -0.5899 (-0.5899) time: 0.4687 data: 0.0004
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:13:12 tlr: 9.4e-05 tnm: 0.41 Lm: 6.782 (6.782) Lt: 6.082 (6.082) Accm: 2.61 (2.61) Acct: 4.13 (4.13) proj_loss: -0.6165 (-0.6165) time: 0.4749 data: 0.0003
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:13:12 tlr: 9.4e-05 tnm: 0.41 Lm: 6.793 (6.793) Lt: 6.136 (6.136) Accm: 2.68 (2.68) Acct: 4.13 (4.13) proj_loss: -0.6220 (-0.6220) time: 0.4751 data: 0.0004
[11-25 03:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:13:02 tlr: 9.4e-05 tnm: 0.41 Lm: 6.813 (6.813) Lt: 6.129 (6.129) Accm: 2.68 (2.68) Acct: 4.29 (4.29) proj_loss: -0.6139 (-0.6139) time: 0.4691 data: 0.0004
[11-25 03:49:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:10:49 tlr: 9.4e-05 tnm: 0.44 Lm: 6.800 (6.800) Lt: 6.112 (6.112) Accm: 2.57 (2.57) Acct: 4.01 (4.01) proj_loss: -0.5996 (-0.5996) time: 0.5406 data: 0.0003
[11-25 03:49:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:10:49 tlr: 9.4e-05 tnm: 0.44 Lm: 6.669 (6.669) Lt: 5.973 (5.973) Accm: 2.95 (2.95) Acct: 4.50 (4.50) proj_loss: -0.6087 (-0.6087) time: 0.5406 data: 0.0003
[11-25 03:49:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:10:49 tlr: 9.4e-05 tnm: 0.44 Lm: 6.655 (6.655) Lt: 5.919 (5.919) Accm: 2.95 (2.95) Acct: 4.75 (4.75) proj_loss: -0.5858 (-0.5858) time: 0.5406 data: 0.0003
[11-25 03:49:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:10:49 tlr: 9.4e-05 tnm: 0.44 Lm: 6.655 (6.655) Lt: 5.917 (5.917) Accm: 2.92 (2.92) Acct: 4.55 (4.55) proj_loss: -0.5978 (-0.5978) time: 0.5406 data: 0.0003
[11-25 03:52:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:07:17 tlr: 9.4e-05 tnm: 0.44 Lm: 6.663 (6.658) Lt: 5.913 (5.916) Accm: 3.15 (3.00) Acct: 4.96 (4.72) proj_loss: -0.5823 (-0.5926) time: 0.4905 data: 0.0003
[11-25 03:52:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:07:17 tlr: 9.4e-05 tnm: 0.44 Lm: 6.698 (6.680) Lt: 5.952 (5.959) Accm: 2.79 (2.80) Acct: 4.56 (4.57) proj_loss: -0.5899 (-0.5877) time: 0.4905 data: 0.0003
[11-25 03:52:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:07:17 tlr: 9.4e-05 tnm: 0.44 Lm: 6.664 (6.667) Lt: 5.929 (5.958) Accm: 2.96 (2.95) Acct: 4.86 (4.62) proj_loss: -0.5953 (-0.6004) time: 0.4905 data: 0.0003
[11-25 03:52:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:07:17 tlr: 9.4e-05 tnm: 0.44 Lm: 6.786 (6.740) Lt: 6.096 (6.036) Accm: 2.68 (2.70) Acct: 4.29 (4.14) proj_loss: -0.5852 (-0.5929) time: 0.4905 data: 0.0003
[11-25 03:56:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:03:36 tlr: 9.4e-05 tnm: 0.43 Lm: 6.703 (6.710) Lt: 6.002 (6.004) Accm: 2.82 (2.86) Acct: 4.34 (4.39) proj_loss: -0.5878 (-0.5923) time: 0.4897 data: 0.0003
[11-25 03:56:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:03:36 tlr: 9.4e-05 tnm: 0.43 Lm: 6.658 (6.664) Lt: 5.946 (5.954) Accm: 2.80 (2.80) Acct: 4.45 (4.51) proj_loss: -0.5908 (-0.5922) time: 0.4897 data: 0.0003
[11-25 03:56:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:03:36 tlr: 9.4e-05 tnm: 0.43 Lm: 6.596 (6.616) Lt: 5.833 (5.863) Accm: 3.19 (3.07) Acct: 5.01 (4.87) proj_loss: -0.5936 (-0.5957) time: 0.4897 data: 0.0003
[11-25 03:56:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:03:36 tlr: 9.4e-05 tnm: 0.43 Lm: 6.635 (6.652) Lt: 5.900 (5.936) Accm: 3.05 (3.00) Acct: 4.86 (4.75) proj_loss: -0.5896 (-0.5944) time: 0.4897 data: 0.0003
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.42 Lm: 6.607 (6.631) Lt: 5.871 (5.897) Accm: 3.15 (3.09) Acct: 4.87 (4.94) proj_loss: -0.5903 (-0.5936) time: 0.4903 data: 0.0016
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:14:13 (0.511 s / it)
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.42 Lm: 6.626 (6.656) Lt: 5.940 (5.941) Accm: 2.80 (2.84) Acct: 4.56 (4.57) proj_loss: -0.5916 (-0.5958) time: 0.4903 data: 0.0016
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.42 Lm: 6.547 (6.602) Lt: 5.830 (5.856) Accm: 3.24 (3.14) Acct: 5.06 (4.99) proj_loss: -0.5985 (-0.5962) time: 0.4903 data: 0.0017
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.42 Lm: 6.619 (6.672) Lt: 5.909 (5.956) Accm: 2.96 (3.01) Acct: 4.39 (4.65) proj_loss: -0.5904 (-0.5923) time: 0.4903 data: 0.0021
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:14:13 (0.511 s / it)
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:14:13 (0.511 s / it)
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:14:13 (0.511 s / it)
[11-25 03:59:48] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.594 (6.616), Lt: 5.850 (5.878), Acc m&t: 3.16 4.96, Remain: 1 day, 4:44:00, Finish: 2024-11-25 16:43
[11-25 03:59:48] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.594 (6.616), Lt: 5.850 (5.878), Acc m&t: 3.16 4.96, Remain: 1 day, 4:43:40, Finish: 2024-11-25 16:43
[11-25 03:59:48] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.594 (6.616), Lt: 5.850 (5.878), Acc m&t: 3.16 4.96, Remain: 1 day, 4:43:22, Finish: 2024-11-25 16:43
[11-25 03:59:48] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.594 (6.616), Lt: 5.850 (5.878), Acc m&t: 3.16 4.96, Remain: 1 day, 4:43:35, Finish: 2024-11-25 16:43
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:13:08 tlr: 9.4e-05 tnm: 0.43 Lm: 6.485 (6.485) Lt: 5.722 (5.722) Accm: 3.30 (3.30) Acct: 5.30 (5.30) proj_loss: -0.5898 (-0.5898) time: 0.4723 data: 0.0004
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:13:08 tlr: 9.4e-05 tnm: 0.43 Lm: 6.639 (6.639) Lt: 5.947 (5.947) Accm: 2.82 (2.82) Acct: 4.20 (4.20) proj_loss: -0.6034 (-0.6034) time: 0.4724 data: 0.0004
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:13:03 tlr: 9.4e-05 tnm: 0.43 Lm: 6.625 (6.625) Lt: 5.955 (5.955) Accm: 3.04 (3.04) Acct: 4.49 (4.49) proj_loss: -0.6082 (-0.6082) time: 0.4692 data: 0.0004
[11-25 03:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:13:09 tlr: 9.4e-05 tnm: 0.43 Lm: 6.698 (6.698) Lt: 5.930 (5.930) Accm: 2.96 (2.96) Acct: 4.56 (4.56) proj_loss: -0.5893 (-0.5893) time: 0.4730 data: 0.0004
[11-25 04:03:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:10:14 tlr: 9.3e-05 tnm: 0.42 Lm: 6.586 (6.586) Lt: 5.838 (5.838) Accm: 3.15 (3.15) Acct: 4.87 (4.87) proj_loss: -0.5945 (-0.5945) time: 0.4882 data: 0.0003
[11-25 04:03:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:10:14 tlr: 9.3e-05 tnm: 0.42 Lm: 6.582 (6.582) Lt: 5.832 (5.832) Accm: 3.06 (3.06) Acct: 4.83 (4.83) proj_loss: -0.5898 (-0.5898) time: 0.4882 data: 0.0003
[11-25 04:03:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:10:14 tlr: 9.3e-05 tnm: 0.42 Lm: 6.621 (6.621) Lt: 5.901 (5.901) Accm: 3.08 (3.08) Acct: 4.61 (4.61) proj_loss: -0.5992 (-0.5992) time: 0.4882 data: 0.0003
[11-25 04:03:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:10:14 tlr: 9.3e-05 tnm: 0.42 Lm: 6.589 (6.589) Lt: 5.851 (5.851) Accm: 3.15 (3.15) Acct: 4.84 (4.84) proj_loss: -0.5987 (-0.5987) time: 0.4882 data: 0.0003
[11-25 04:06:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:06:55 tlr: 9.3e-05 tnm: 0.41 Lm: 6.639 (6.609) Lt: 5.938 (5.880) Accm: 2.91 (3.07) Acct: 4.61 (4.76) proj_loss: -0.6024 (-0.5999) time: 0.4929 data: 0.0003
[11-25 04:06:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:06:55 tlr: 9.3e-05 tnm: 0.41 Lm: 6.698 (6.651) Lt: 5.930 (5.907) Accm: 2.96 (3.05) Acct: 4.61 (4.79) proj_loss: -0.5904 (-0.5932) time: 0.4928 data: 0.0003
[11-25 04:06:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:06:55 tlr: 9.3e-05 tnm: 0.41 Lm: 6.618 (6.612) Lt: 5.884 (5.895) Accm: 3.13 (3.16) Acct: 4.73 (4.76) proj_loss: -0.6082 (-0.6030) time: 0.4928 data: 0.0003
[11-25 04:06:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:06:55 tlr: 9.3e-05 tnm: 0.41 Lm: 6.678 (6.620) Lt: 5.938 (5.868) Accm: 2.81 (2.97) Acct: 4.55 (4.73) proj_loss: -0.5898 (-0.5946) time: 0.4928 data: 0.0003
[11-25 04:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:03:28 tlr: 9.3e-05 tnm: 0.43 Lm: 6.595 (6.593) Lt: 5.875 (5.854) Accm: 3.06 (3.06) Acct: 4.74 (4.79) proj_loss: -0.5971 (-0.6009) time: 0.5452 data: 0.0002
[11-25 04:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:03:28 tlr: 9.3e-05 tnm: 0.43 Lm: 6.621 (6.655) Lt: 5.919 (5.925) Accm: 3.08 (3.00) Acct: 4.61 (4.62) proj_loss: -0.5992 (-0.5955) time: 0.5452 data: 0.0003
[11-25 04:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:03:28 tlr: 9.3e-05 tnm: 0.43 Lm: 6.589 (6.584) Lt: 5.847 (5.849) Accm: 3.19 (3.17) Acct: 4.91 (4.87) proj_loss: -0.5994 (-0.5990) time: 0.5452 data: 0.0003
[11-25 04:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:03:28 tlr: 9.3e-05 tnm: 0.43 Lm: 6.702 (6.665) Lt: 5.937 (5.916) Accm: 2.90 (2.94) Acct: 4.59 (4.63) proj_loss: -0.5899 (-0.5892) time: 0.5452 data: 0.0003
[11-25 04:13:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.44 Lm: 6.698 (6.641) Lt: 5.930 (5.882) Accm: 2.96 (3.03) Acct: 4.61 (4.75) proj_loss: -0.5904 (-0.5908) time: 0.6001 data: 0.0020
[11-25 04:13:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:14:08 (0.508 s / it)
[11-25 04:13:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.44 Lm: 6.558 (6.579) Lt: 5.756 (5.830) Accm: 3.26 (3.19) Acct: 5.04 (4.91) proj_loss: -0.5964 (-0.5953) time: 0.6000 data: 0.0020
[11-25 04:13:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.44 Lm: 6.613 (6.597) Lt: 5.911 (5.865) Accm: 2.99 (3.05) Acct: 4.55 (4.71) proj_loss: -0.6043 (-0.6038) time: 0.6001 data: 0.0016
[11-25 04:13:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.44 Lm: 6.618 (6.623) Lt: 5.884 (5.867) Accm: 3.13 (3.09) Acct: 4.73 (4.85) proj_loss: -0.5902 (-0.5921) time: 0.6001 data: 0.0016
[11-25 04:13:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:14:08 (0.508 s / it)
[11-25 04:13:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:14:08 (0.508 s / it)
[11-25 04:13:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:14:08 (0.508 s / it)
[11-25 04:13:56] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.594 (6.618), Lt: 5.850 (5.877), Acc m&t: 3.16 4.96, Remain: 1 day, 4:33:35, Finish: 2024-11-25 16:47
[11-25 04:13:56] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.594 (6.618), Lt: 5.850 (5.877), Acc m&t: 3.16 4.96, Remain: 1 day, 4:34:01, Finish: 2024-11-25 16:47
[11-25 04:13:56] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.594 (6.618), Lt: 5.850 (5.877), Acc m&t: 3.16 4.96, Remain: 1 day, 4:34:06, Finish: 2024-11-25 16:48
[11-25 04:13:56] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.594 (6.618), Lt: 5.850 (5.877), Acc m&t: 3.16 4.96, Remain: 1 day, 4:33:56, Finish: 2024-11-25 16:47
[11-25 04:13:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:13:18 tlr: 9.3e-05 tnm: 0.42 Lm: 6.803 (6.803) Lt: 6.099 (6.099) Accm: 2.81 (2.81) Acct: 4.46 (4.46) proj_loss: -0.6057 (-0.6057) time: 0.4787 data: 0.0004
[11-25 04:13:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:13:19 tlr: 9.3e-05 tnm: 0.42 Lm: 6.310 (6.310) Lt: 5.542 (5.542) Accm: 3.88 (3.88) Acct: 6.20 (6.20) proj_loss: -0.5996 (-0.5996) time: 0.4790 data: 0.0004
[11-25 04:13:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:13:13 tlr: 9.3e-05 tnm: 0.42 Lm: 6.569 (6.569) Lt: 5.777 (5.777) Accm: 3.40 (3.40) Acct: 5.51 (5.51) proj_loss: -0.5889 (-0.5889) time: 0.4753 data: 0.0004
[11-25 04:13:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:13:19 tlr: 9.3e-05 tnm: 0.42 Lm: 6.618 (6.618) Lt: 5.870 (5.870) Accm: 2.72 (2.72) Acct: 4.37 (4.37) proj_loss: -0.5604 (-0.5604) time: 0.4793 data: 0.0004
[11-25 04:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:10:32 tlr: 9.3e-05 tnm: 0.42 Lm: 6.622 (6.622) Lt: 5.889 (5.889) Accm: 2.76 (2.76) Acct: 4.45 (4.45) proj_loss: -0.5798 (-0.5798) time: 0.4891 data: 0.0003
[11-25 04:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:10:32 tlr: 9.3e-05 tnm: 0.42 Lm: 6.434 (6.434) Lt: 5.681 (5.681) Accm: 3.49 (3.49) Acct: 5.39 (5.39) proj_loss: -0.5987 (-0.5987) time: 0.4891 data: 0.0003
[11-25 04:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:10:32 tlr: 9.3e-05 tnm: 0.42 Lm: 6.681 (6.681) Lt: 5.965 (5.965) Accm: 3.07 (3.07) Acct: 4.92 (4.92) proj_loss: -0.5909 (-0.5909) time: 0.4891 data: 0.0003
[11-25 04:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:10:32 tlr: 9.3e-05 tnm: 0.42 Lm: 6.609 (6.609) Lt: 5.811 (5.811) Accm: 3.24 (3.24) Acct: 5.13 (5.13) proj_loss: -0.5932 (-0.5932) time: 0.4891 data: 0.0003
[11-25 04:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:06:55 tlr: 9.2e-05 tnm: 0.42 Lm: 6.535 (6.468) Lt: 5.821 (5.728) Accm: 3.45 (3.47) Acct: 5.01 (5.26) proj_loss: -0.5996 (-0.6012) time: 0.4906 data: 0.0002
[11-25 04:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:06:55 tlr: 9.2e-05 tnm: 0.42 Lm: 6.626 (6.626) Lt: 5.873 (5.884) Accm: 2.80 (2.82) Acct: 4.53 (4.55) proj_loss: -0.5882 (-0.5826) time: 0.4906 data: 0.0003
[11-25 04:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:06:55 tlr: 9.2e-05 tnm: 0.42 Lm: 6.736 (6.699) Lt: 5.962 (5.964) Accm: 2.81 (2.96) Acct: 4.67 (4.83) proj_loss: -0.5988 (-0.5935) time: 0.4906 data: 0.0003
[11-25 04:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:06:55 tlr: 9.2e-05 tnm: 0.42 Lm: 6.648 (6.672) Lt: 5.846 (5.885) Accm: 3.07 (2.91) Acct: 4.75 (4.68) proj_loss: -0.5889 (-0.5875) time: 0.4906 data: 0.0003
[11-25 04:24:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:03:27 tlr: 9.2e-05 tnm: 0.42 Lm: 6.617 (6.651) Lt: 5.849 (5.877) Accm: 3.10 (2.97) Acct: 4.90 (4.77) proj_loss: -0.5850 (-0.5859) time: 0.4932 data: 0.0003
[11-25 04:24:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:03:27 tlr: 9.2e-05 tnm: 0.42 Lm: 6.647 (6.633) Lt: 5.897 (5.902) Accm: 3.07 (3.23) Acct: 5.02 (5.20) proj_loss: -0.6022 (-0.5977) time: 0.4932 data: 0.0003
[11-25 04:24:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:03:27 tlr: 9.2e-05 tnm: 0.42 Lm: 6.630 (6.635) Lt: 5.879 (5.884) Accm: 2.87 (2.87) Acct: 4.63 (4.60) proj_loss: -0.5838 (-0.5818) time: 0.4932 data: 0.0004
[11-25 04:24:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:03:27 tlr: 9.2e-05 tnm: 0.42 Lm: 6.547 (6.547) Lt: 5.821 (5.828) Accm: 3.27 (3.33) Acct: 4.80 (5.10) proj_loss: -0.6028 (-0.6033) time: 0.4932 data: 0.0003
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.43 Lm: 6.559 (6.578) Lt: 5.821 (5.861) Accm: 3.09 (3.24) Acct: 4.60 (4.99) proj_loss: -0.5996 (-0.6024) time: 0.5467 data: 0.0016
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:13:46 (0.495 s / it)
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.43 Lm: 6.626 (6.610) Lt: 5.873 (5.865) Accm: 2.94 (2.97) Acct: 4.73 (4.67) proj_loss: -0.5882 (-0.5847) time: 0.5467 data: 0.0018
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.43 Lm: 6.736 (6.660) Lt: 5.962 (5.927) Accm: 2.81 (3.09) Acct: 4.67 (5.01) proj_loss: -0.6057 (-0.6003) time: 0.5467 data: 0.0013
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.43 Lm: 6.586 (6.619) Lt: 5.846 (5.849) Accm: 3.13 (3.06) Acct: 5.04 (4.86) proj_loss: -0.5838 (-0.5855) time: 0.5467 data: 0.0019
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:13:46 (0.495 s / it)
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:13:46 (0.495 s / it)
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:13:46 (0.495 s / it)
[11-25 04:27:43] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.594 (6.614), Lt: 5.850 (5.878), Acc m&t: 3.16 4.96, Remain: 1 day, 4:23:53, Finish: 2024-11-25 16:51
[11-25 04:27:43] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.594 (6.614), Lt: 5.850 (5.878), Acc m&t: 3.16 4.96, Remain: 1 day, 4:23:27, Finish: 2024-11-25 16:51
[11-25 04:27:43] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.594 (6.614), Lt: 5.850 (5.878), Acc m&t: 3.16 4.96, Remain: 1 day, 4:24:26, Finish: 2024-11-25 16:52
[11-25 04:27:43] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.594 (6.614), Lt: 5.850 (5.878), Acc m&t: 3.16 4.96, Remain: 1 day, 4:23:41, Finish: 2024-11-25 16:51
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:13:23 tlr: 9.2e-05 tnm: 0.44 Lm: 6.631 (6.631) Lt: 5.922 (5.922) Accm: 3.25 (3.25) Acct: 4.68 (4.68) proj_loss: -0.6249 (-0.6249) time: 0.4815 data: 0.0004
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:13:29 tlr: 9.2e-05 tnm: 0.44 Lm: 6.723 (6.723) Lt: 5.947 (5.947) Accm: 3.02 (3.02) Acct: 4.73 (4.73) proj_loss: -0.5893 (-0.5893) time: 0.4852 data: 0.0005
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:13:32 tlr: 9.2e-05 tnm: 0.44 Lm: 6.730 (6.730) Lt: 5.976 (5.976) Accm: 2.79 (2.79) Acct: 4.73 (4.73) proj_loss: -0.5761 (-0.5761) time: 0.4870 data: 0.0004
[11-25 04:27:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:13:32 tlr: 9.2e-05 tnm: 0.44 Lm: 6.579 (6.579) Lt: 5.878 (5.878) Accm: 3.40 (3.40) Acct: 5.29 (5.29) proj_loss: -0.6065 (-0.6065) time: 0.4870 data: 0.0004
[11-25 04:31:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:11:05 tlr: 9.2e-05 tnm: 0.42 Lm: 6.577 (6.577) Lt: 5.835 (5.835) Accm: 3.42 (3.42) Acct: 5.39 (5.39) proj_loss: -0.5975 (-0.5975) time: 0.5993 data: 0.0003
[11-25 04:31:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:11:05 tlr: 9.2e-05 tnm: 0.42 Lm: 6.624 (6.624) Lt: 5.916 (5.916) Accm: 3.12 (3.12) Acct: 4.79 (4.79) proj_loss: -0.6217 (-0.6217) time: 0.5993 data: 0.0003
[11-25 04:31:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:11:05 tlr: 9.2e-05 tnm: 0.42 Lm: 6.575 (6.575) Lt: 5.818 (5.818) Accm: 3.28 (3.28) Acct: 5.04 (5.04) proj_loss: -0.5924 (-0.5924) time: 0.5993 data: 0.0003
[11-25 04:31:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:11:05 tlr: 9.2e-05 tnm: 0.42 Lm: 6.694 (6.694) Lt: 5.934 (5.934) Accm: 2.93 (2.93) Acct: 4.82 (4.82) proj_loss: -0.5749 (-0.5749) time: 0.5993 data: 0.0003
[11-25 04:35:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:07:19 tlr: 9.2e-05 tnm: 0.45 Lm: 6.730 (6.723) Lt: 5.976 (5.976) Accm: 2.86 (2.91) Acct: 4.73 (4.65) proj_loss: -0.5761 (-0.5800) time: 0.4910 data: 0.0003
[11-25 04:35:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:07:19 tlr: 9.2e-05 tnm: 0.45 Lm: 6.630 (6.593) Lt: 5.904 (5.847) Accm: 3.02 (3.18) Acct: 4.73 (4.92) proj_loss: -0.5956 (-0.5947) time: 0.4910 data: 0.0003
[11-25 04:35:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:07:19 tlr: 9.2e-05 tnm: 0.45 Lm: 6.618 (6.598) Lt: 5.911 (5.850) Accm: 3.00 (3.08) Acct: 4.82 (4.80) proj_loss: -0.6185 (-0.6043) time: 0.4910 data: 0.0003
[11-25 04:35:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:07:19 tlr: 9.2e-05 tnm: 0.45 Lm: 6.575 (6.561) Lt: 5.792 (5.807) Accm: 3.43 (3.42) Acct: 5.39 (5.39) proj_loss: -0.5885 (-0.5937) time: 0.4910 data: 0.0003
[11-25 04:38:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:03:37 tlr: 9.2e-05 tnm: 0.42 Lm: 6.577 (6.565) Lt: 5.828 (5.822) Accm: 3.42 (3.35) Acct: 5.34 (5.26) proj_loss: -0.5975 (-0.5983) time: 0.5419 data: 0.0003
[11-25 04:38:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:03:37 tlr: 9.2e-05 tnm: 0.42 Lm: 6.582 (6.578) Lt: 5.847 (5.833) Accm: 3.13 (3.18) Acct: 4.86 (4.95) proj_loss: -0.6075 (-0.6024) time: 0.5419 data: 0.0003
[11-25 04:38:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:03:37 tlr: 9.2e-05 tnm: 0.42 Lm: 6.755 (6.739) Lt: 6.018 (6.007) Accm: 2.83 (2.88) Acct: 4.62 (4.62) proj_loss: -0.5820 (-0.5820) time: 0.5419 data: 0.0003
[11-25 04:38:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:03:37 tlr: 9.2e-05 tnm: 0.42 Lm: 6.555 (6.565) Lt: 5.829 (5.824) Accm: 3.28 (3.30) Acct: 5.04 (5.16) proj_loss: -0.5974 (-0.5960) time: 0.5419 data: 0.0003
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.42 Lm: 6.630 (6.591) Lt: 5.904 (5.841) Accm: 3.02 (3.22) Acct: 4.73 (5.02) proj_loss: -0.5956 (-0.5915) time: 0.4930 data: 0.0016
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:14:14 (0.512 s / it)
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.42 Lm: 6.579 (6.574) Lt: 5.865 (5.832) Accm: 3.40 (3.26) Acct: 5.29 (5.14) proj_loss: -0.6065 (-0.6016) time: 0.4929 data: 0.0017
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.42 Lm: 6.618 (6.587) Lt: 5.911 (5.852) Accm: 3.12 (3.17) Acct: 4.87 (4.94) proj_loss: -0.5966 (-0.5953) time: 0.4929 data: 0.0015
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.42 Lm: 6.730 (6.714) Lt: 5.976 (5.986) Accm: 2.86 (2.97) Acct: 4.73 (4.72) proj_loss: -0.5880 (-0.5851) time: 0.4930 data: 0.0016
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:14:14 (0.512 s / it)
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:14:14 (0.512 s / it)
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:14:14 (0.512 s / it)
[11-25 04:41:58] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.594 (6.617), Lt: 5.850 (5.879), Acc m&t: 3.16 4.96, Remain: 1 day, 4:07:19, Finish: 2024-11-25 16:49
[11-25 04:41:58] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.594 (6.617), Lt: 5.850 (5.879), Acc m&t: 3.16 4.96, Remain: 1 day, 4:06:55, Finish: 2024-11-25 16:48
[11-25 04:41:58] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.594 (6.617), Lt: 5.850 (5.879), Acc m&t: 3.16 4.96, Remain: 1 day, 4:06:58, Finish: 2024-11-25 16:48
[11-25 04:41:58] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.594 (6.617), Lt: 5.850 (5.879), Acc m&t: 3.16 4.96, Remain: 1 day, 4:06:38, Finish: 2024-11-25 16:48
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:12:54 tlr: 9.1e-05 tnm: 0.44 Lm: 6.584 (6.584) Lt: 5.812 (5.812) Accm: 3.47 (3.47) Acct: 5.46 (5.46) proj_loss: -0.5886 (-0.5886) time: 0.4643 data: 0.0003
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:12:55 tlr: 9.1e-05 tnm: 0.44 Lm: 6.752 (6.752) Lt: 6.071 (6.071) Accm: 2.52 (2.52) Acct: 3.93 (3.93) proj_loss: -0.6087 (-0.6087) time: 0.4646 data: 0.0003
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:12:54 tlr: 9.1e-05 tnm: 0.44 Lm: 6.691 (6.691) Lt: 5.974 (5.974) Accm: 2.86 (2.86) Acct: 4.36 (4.36) proj_loss: -0.5930 (-0.5930) time: 0.4642 data: 0.0005
[11-25 04:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:12:55 tlr: 9.1e-05 tnm: 0.44 Lm: 6.543 (6.543) Lt: 5.819 (5.819) Accm: 3.22 (3.22) Acct: 5.32 (5.32) proj_loss: -0.5968 (-0.5968) time: 0.4647 data: 0.0003
[11-25 04:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:10:13 tlr: 9.1e-05 tnm: 0.43 Lm: 6.667 (6.667) Lt: 5.925 (5.925) Accm: 3.06 (3.06) Acct: 4.81 (4.81) proj_loss: -0.5863 (-0.5863) time: 0.4898 data: 0.0003
[11-25 04:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:10:13 tlr: 9.1e-05 tnm: 0.43 Lm: 6.656 (6.656) Lt: 5.941 (5.941) Accm: 2.86 (2.86) Acct: 4.59 (4.59) proj_loss: -0.5881 (-0.5881) time: 0.4898 data: 0.0003
[11-25 04:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:10:13 tlr: 9.1e-05 tnm: 0.43 Lm: 6.672 (6.672) Lt: 5.924 (5.924) Accm: 3.09 (3.09) Acct: 4.81 (4.81) proj_loss: -0.5967 (-0.5967) time: 0.4898 data: 0.0002
[11-25 04:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:10:13 tlr: 9.1e-05 tnm: 0.43 Lm: 6.666 (6.666) Lt: 5.932 (5.932) Accm: 3.06 (3.06) Acct: 4.75 (4.75) proj_loss: -0.5854 (-0.5854) time: 0.4898 data: 0.0003
[11-25 04:48:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:06:55 tlr: 9.1e-05 tnm: 0.42 Lm: 6.691 (6.688) Lt: 5.974 (5.970) Accm: 2.86 (2.95) Acct: 4.36 (4.52) proj_loss: -0.5930 (-0.5942) time: 0.4904 data: 0.0003
[11-25 04:48:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:06:55 tlr: 9.1e-05 tnm: 0.42 Lm: 6.543 (6.621) Lt: 5.819 (5.869) Accm: 3.22 (3.16) Acct: 5.32 (5.00) proj_loss: -0.5758 (-0.5816) time: 0.4904 data: 0.0003
[11-25 04:48:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:06:55 tlr: 9.1e-05 tnm: 0.42 Lm: 6.605 (6.650) Lt: 5.878 (5.909) Accm: 3.00 (3.06) Acct: 4.75 (4.79) proj_loss: -0.5886 (-0.5940) time: 0.4904 data: 0.0003
[11-25 04:48:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:06:55 tlr: 9.1e-05 tnm: 0.42 Lm: 6.604 (6.639) Lt: 5.834 (5.905) Accm: 2.86 (2.86) Acct: 4.94 (4.71) proj_loss: -0.5941 (-0.5901) time: 0.4904 data: 0.0003
[11-25 04:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:03:31 tlr: 9.1e-05 tnm: 0.43 Lm: 6.582 (6.615) Lt: 5.822 (5.879) Accm: 3.03 (2.98) Acct: 4.99 (4.79) proj_loss: -0.5972 (-0.5927) time: 0.5445 data: 0.0003
[11-25 04:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:03:31 tlr: 9.1e-05 tnm: 0.43 Lm: 6.666 (6.669) Lt: 5.935 (5.951) Accm: 2.80 (2.90) Acct: 4.33 (4.46) proj_loss: -0.5854 (-0.5894) time: 0.5446 data: 0.0003
[11-25 04:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:03:31 tlr: 9.1e-05 tnm: 0.43 Lm: 6.579 (6.619) Lt: 5.865 (5.880) Accm: 3.25 (3.19) Acct: 5.16 (5.00) proj_loss: -0.5863 (-0.5869) time: 0.5445 data: 0.0003
[11-25 04:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:03:31 tlr: 9.1e-05 tnm: 0.43 Lm: 6.682 (6.691) Lt: 5.957 (5.953) Accm: 2.86 (2.91) Acct: 4.46 (4.61) proj_loss: -0.5944 (-0.5955) time: 0.5446 data: 0.0003
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.42 Lm: 6.605 (6.666) Lt: 5.878 (5.925) Accm: 2.95 (2.92) Acct: 4.61 (4.61) proj_loss: -0.5978 (-0.5960) time: 0.5353 data: 0.0019
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:14:12 (0.511 s / it)
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.42 Lm: 6.560 (6.587) Lt: 5.811 (5.844) Accm: 3.19 (3.13) Acct: 5.04 (5.02) proj_loss: -0.5941 (-0.5916) time: 0.5353 data: 0.0015
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.42 Lm: 6.641 (6.656) Lt: 5.896 (5.926) Accm: 2.86 (2.97) Acct: 4.36 (4.69) proj_loss: -0.5930 (-0.5906) time: 0.5354 data: 0.0016
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.42 Lm: 6.615 (6.620) Lt: 5.911 (5.891) Accm: 3.22 (3.14) Acct: 4.99 (4.84) proj_loss: -0.5968 (-0.5898) time: 0.5353 data: 0.0019
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:14:12 (0.511 s / it)
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:14:12 (0.511 s / it)
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:14:12 (0.511 s / it)
[11-25 04:56:10] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.594 (6.609), Lt: 5.850 (5.872), Acc m&t: 3.16 4.96, Remain: 1 day, 3:38:41, Finish: 2024-11-25 16:34
[11-25 04:56:10] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.594 (6.609), Lt: 5.850 (5.872), Acc m&t: 3.16 4.96, Remain: 1 day, 3:38:12, Finish: 2024-11-25 16:34
[11-25 04:56:10] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.594 (6.609), Lt: 5.850 (5.872), Acc m&t: 3.16 4.96, Remain: 1 day, 3:38:26, Finish: 2024-11-25 16:34
[11-25 04:56:10] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.594 (6.609), Lt: 5.850 (5.872), Acc m&t: 3.16 4.96, Remain: 1 day, 3:38:27, Finish: 2024-11-25 16:34
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:12:54 tlr: 9.1e-05 tnm: 0.43 Lm: 6.504 (6.504) Lt: 5.746 (5.746) Accm: 3.12 (3.12) Acct: 4.68 (4.68) proj_loss: -0.6102 (-0.6102) time: 0.4639 data: 0.0003
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:12:54 tlr: 9.1e-05 tnm: 0.43 Lm: 6.523 (6.523) Lt: 5.756 (5.756) Accm: 3.26 (3.26) Acct: 5.08 (5.08) proj_loss: -0.5958 (-0.5958) time: 0.4638 data: 0.0004
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:12:54 tlr: 9.1e-05 tnm: 0.43 Lm: 6.766 (6.766) Lt: 6.066 (6.066) Accm: 2.63 (2.63) Acct: 4.08 (4.08) proj_loss: -0.5958 (-0.5958) time: 0.4642 data: 0.0004
[11-25 04:56:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:12:54 tlr: 9.1e-05 tnm: 0.43 Lm: 6.789 (6.789) Lt: 6.093 (6.093) Accm: 2.70 (2.70) Acct: 4.20 (4.20) proj_loss: -0.5854 (-0.5854) time: 0.4642 data: 0.0003
[11-25 04:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:10:22 tlr: 9e-05 tnm: 0.43 Lm: 6.566 (6.566) Lt: 5.848 (5.848) Accm: 3.17 (3.17) Acct: 5.06 (5.06) proj_loss: -0.5963 (-0.5963) time: 0.4894 data: 0.0003
[11-25 04:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:10:22 tlr: 9e-05 tnm: 0.43 Lm: 6.652 (6.652) Lt: 5.911 (5.911) Accm: 3.00 (3.00) Acct: 4.78 (4.78) proj_loss: -0.5832 (-0.5832) time: 0.4894 data: 0.0003
[11-25 04:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:10:22 tlr: 9e-05 tnm: 0.43 Lm: 6.570 (6.570) Lt: 5.819 (5.819) Accm: 3.17 (3.17) Acct: 4.77 (4.77) proj_loss: -0.5983 (-0.5983) time: 0.4894 data: 0.0003
[11-25 04:59:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:10:22 tlr: 9e-05 tnm: 0.43 Lm: 6.616 (6.616) Lt: 5.863 (5.863) Accm: 3.09 (3.09) Acct: 4.78 (4.78) proj_loss: -0.5774 (-0.5774) time: 0.4894 data: 0.0003
[11-25 05:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:06:52 tlr: 9e-05 tnm: 0.45 Lm: 6.523 (6.552) Lt: 5.756 (5.808) Accm: 3.26 (3.23) Acct: 5.08 (4.94) proj_loss: -0.5958 (-0.5912) time: 0.4900 data: 0.0003
[11-25 05:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:06:52 tlr: 9e-05 tnm: 0.45 Lm: 6.537 (6.579) Lt: 5.755 (5.813) Accm: 3.37 (3.17) Acct: 5.48 (5.07) proj_loss: -0.5833 (-0.5832) time: 0.4900 data: 0.0003
[11-25 05:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:06:52 tlr: 9e-05 tnm: 0.45 Lm: 6.698 (6.610) Lt: 5.991 (5.896) Accm: 2.80 (3.05) Acct: 4.51 (4.88) proj_loss: -0.5854 (-0.5914) time: 0.4900 data: 0.0003
[11-25 05:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:06:52 tlr: 9e-05 tnm: 0.45 Lm: 6.635 (6.633) Lt: 5.892 (5.904) Accm: 3.12 (2.99) Acct: 4.68 (4.50) proj_loss: -0.5905 (-0.5957) time: 0.4900 data: 0.0004
[11-25 05:06:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:03:25 tlr: 9e-05 tnm: 0.43 Lm: 6.620 (6.626) Lt: 5.891 (5.900) Accm: 3.17 (3.10) Acct: 4.77 (4.71) proj_loss: -0.5968 (-0.5976) time: 0.4924 data: 0.0003
[11-25 05:06:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:03:25 tlr: 9e-05 tnm: 0.43 Lm: 6.646 (6.606) Lt: 5.915 (5.882) Accm: 2.83 (3.00) Acct: 4.45 (4.76) proj_loss: -0.5836 (-0.5878) time: 0.4924 data: 0.0003
[11-25 05:06:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:03:25 tlr: 9e-05 tnm: 0.43 Lm: 6.485 (6.537) Lt: 5.689 (5.765) Accm: 3.43 (3.26) Acct: 5.49 (5.18) proj_loss: -0.5875 (-0.5853) time: 0.4924 data: 0.0003
[11-25 05:06:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:03:25 tlr: 9e-05 tnm: 0.43 Lm: 6.575 (6.571) Lt: 5.807 (5.821) Accm: 3.12 (3.17) Acct: 4.90 (4.88) proj_loss: -0.5827 (-0.5858) time: 0.4924 data: 0.0003
[11-25 05:09:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.43 Lm: 6.575 (6.571) Lt: 5.859 (5.831) Accm: 3.17 (3.17) Acct: 5.08 (4.93) proj_loss: -0.5958 (-0.5890) time: 0.5955 data: 0.0018
[11-25 05:09:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:13:48 (0.497 s / it)
[11-25 05:09:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.43 Lm: 6.698 (6.627) Lt: 5.970 (5.899) Accm: 2.86 (2.97) Acct: 4.39 (4.67) proj_loss: -0.5854 (-0.5880) time: 0.5955 data: 0.0026
[11-25 05:09:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.43 Lm: 6.610 (6.623) Lt: 5.889 (5.898) Accm: 3.12 (3.08) Acct: 4.68 (4.70) proj_loss: -0.6009 (-0.5983) time: 0.5955 data: 0.0014
[11-25 05:09:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.43 Lm: 6.537 (6.559) Lt: 5.755 (5.806) Accm: 3.37 (3.18) Acct: 5.48 (4.99) proj_loss: -0.5917 (-0.5908) time: 0.5955 data: 0.0020
[11-25 05:09:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:13:48 (0.497 s / it)
[11-25 05:09:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:13:48 (0.497 s / it)
[11-25 05:09:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:13:48 (0.497 s / it)
[11-25 05:12:13] (home/user/VAR/trainer.py, line 114)=> FID: 3.8889093890081767
[11-25 05:12:13] (/home/user/VAR/train.py , line 259)=> [*] [ep229] (val 50000) Lm: 6.6097, Lt: 5.8725, Acc m&t: 3.11 4.88, Val cost: 134.28s
[11-25 05:12:13] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 05:12:25] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.594 (6.610), Lt: 5.850 (5.873), Acc m&t: 3.16 4.96, Remain: 1 day, 3:40:48, Finish: 2024-11-25 16:50
[11-25 05:12:25] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.594 (6.610), Lt: 5.850 (5.873), Acc m&t: 3.16 4.96, Remain: 1 day, 3:41:11, Finish: 2024-11-25 16:51
[11-25 05:12:25] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.594 (6.610), Lt: 5.850 (5.873), Acc m&t: 3.16 4.96, Remain: 1 day, 3:40:46, Finish: 2024-11-25 16:50
[11-25 05:12:25] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.594 (6.610), Lt: 5.850 (5.873), Acc m&t: 3.16 4.96, Remain: 1 day, 3:41:16, Finish: 2024-11-25 16:51
[11-25 05:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:58:55 tlr: 9e-05 tnm: 0.42 Lm: 6.616 (6.616) Lt: 5.873 (5.873) Accm: 3.01 (3.01) Acct: 5.10 (5.10) proj_loss: -0.5812 (-0.5812) time: 2.1186 data: 0.0003
[11-25 05:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:58:52 tlr: 9e-05 tnm: 0.42 Lm: 6.672 (6.672) Lt: 5.947 (5.947) Accm: 2.82 (2.82) Acct: 4.36 (4.36) proj_loss: -0.6047 (-0.6047) time: 2.1164 data: 0.0004
[11-25 05:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:59:12 tlr: 9e-05 tnm: 0.42 Lm: 6.370 (6.370) Lt: 5.621 (5.621) Accm: 3.95 (3.95) Acct: 5.99 (5.99) proj_loss: -0.5908 (-0.5908) time: 2.1285 data: 0.0003
[11-25 05:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:58:50 tlr: 9e-05 tnm: 0.42 Lm: 6.556 (6.556) Lt: 5.786 (5.786) Accm: 2.99 (2.99) Acct: 4.80 (4.80) proj_loss: -0.5796 (-0.5796) time: 2.1154 data: 0.0004
[11-25 05:16:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:11:11 tlr: 9e-05 tnm: 0.43 Lm: 6.621 (6.621) Lt: 5.855 (5.855) Accm: 3.09 (3.09) Acct: 4.92 (4.92) proj_loss: -0.5894 (-0.5894) time: 0.5923 data: 0.0003
[11-25 05:16:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:11:11 tlr: 9e-05 tnm: 0.43 Lm: 6.705 (6.705) Lt: 5.982 (5.982) Accm: 2.91 (2.91) Acct: 4.39 (4.39) proj_loss: -0.5943 (-0.5943) time: 0.5923 data: 0.0003
[11-25 05:16:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:11:11 tlr: 9e-05 tnm: 0.43 Lm: 6.426 (6.426) Lt: 5.659 (5.659) Accm: 3.63 (3.63) Acct: 5.81 (5.81) proj_loss: -0.5862 (-0.5862) time: 0.5923 data: 0.0003
[11-25 05:16:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:11:11 tlr: 9e-05 tnm: 0.43 Lm: 6.536 (6.536) Lt: 5.781 (5.781) Accm: 3.27 (3.27) Acct: 5.36 (5.36) proj_loss: -0.5953 (-0.5953) time: 0.5923 data: 0.0003
[11-25 05:19:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:07:15 tlr: 9e-05 tnm: 0.45 Lm: 6.616 (6.573) Lt: 5.873 (5.830) Accm: 3.01 (3.18) Acct: 5.10 (5.15) proj_loss: -0.6094 (-0.6036) time: 0.4925 data: 0.0002
[11-25 05:19:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:07:15 tlr: 9e-05 tnm: 0.45 Lm: 6.482 (6.505) Lt: 5.697 (5.766) Accm: 3.32 (3.45) Acct: 5.63 (5.41) proj_loss: -0.5908 (-0.5950) time: 0.4925 data: 0.0003
[11-25 05:19:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:07:15 tlr: 9e-05 tnm: 0.45 Lm: 6.738 (6.716) Lt: 5.999 (5.988) Accm: 2.82 (2.82) Acct: 4.42 (4.42) proj_loss: -0.5964 (-0.5950) time: 0.4925 data: 0.0003
[11-25 05:19:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:07:15 tlr: 9e-05 tnm: 0.45 Lm: 6.686 (6.669) Lt: 5.925 (5.920) Accm: 3.04 (3.07) Acct: 5.04 (4.99) proj_loss: -0.5993 (-0.5954) time: 0.4925 data: 0.0003
[11-25 05:23:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:03:34 tlr: 8.9e-05 tnm: 0.44 Lm: 6.714 (6.687) Lt: 5.970 (5.944) Accm: 3.02 (2.96) Acct: 4.92 (4.77) proj_loss: -0.6033 (-0.6000) time: 0.4888 data: 0.0003
[11-25 05:23:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:03:34 tlr: 8.9e-05 tnm: 0.44 Lm: 6.705 (6.698) Lt: 5.973 (5.968) Accm: 2.91 (2.88) Acct: 4.45 (4.58) proj_loss: -0.5941 (-0.5942) time: 0.4888 data: 0.0003
[11-25 05:23:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:03:34 tlr: 8.9e-05 tnm: 0.44 Lm: 6.632 (6.593) Lt: 5.900 (5.860) Accm: 3.00 (3.13) Acct: 4.91 (5.03) proj_loss: -0.6001 (-0.6004) time: 0.4888 data: 0.0003
[11-25 05:23:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:03:34 tlr: 8.9e-05 tnm: 0.44 Lm: 6.573 (6.569) Lt: 5.838 (5.841) Accm: 3.20 (3.19) Acct: 5.11 (4.98) proj_loss: -0.5947 (-0.5959) time: 0.4888 data: 0.0003
[11-25 05:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1668/1669] eta: 0:00:00 tlr: 8.9e-05 tnm: 0.47 Lm: 6.663 (6.609) Lt: 5.978 (5.884) Accm: 3.07 (3.04) Acct: 4.60 (4.73) proj_loss: -0.5986 (-0.5982) time: 0.4949 data: 0.0013
[11-25 05:26:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:14:08 (0.508 s / it)
[11-25 05:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1668/1669] eta: 0:00:00 tlr: 8.9e-05 tnm: 0.47 Lm: 6.672 (6.656) Lt: 5.947 (5.917) Accm: 3.01 (2.98) Acct: 4.48 (4.73) proj_loss: -0.5919 (-0.5920) time: 0.4949 data: 0.0017
[11-25 05:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1668/1669] eta: 0:00:00 tlr: 8.9e-05 tnm: 0.47 Lm: 6.616 (6.585) Lt: 5.873 (5.854) Accm: 3.01 (3.14) Acct: 4.94 (5.01) proj_loss: -0.6029 (-0.6009) time: 0.4949 data: 0.0017
[11-25 05:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1668/1669] eta: 0:00:00 tlr: 8.9e-05 tnm: 0.47 Lm: 6.708 (6.691) Lt: 6.007 (5.957) Accm: 2.99 (2.92) Acct: 4.80 (4.66) proj_loss: -0.5993 (-0.5965) time: 0.4949 data: 0.0016
[11-25 05:26:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:14:08 (0.508 s / it)
[11-25 05:26:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:14:08 (0.508 s / it)
[11-25 05:26:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:14:08 (0.508 s / it)
[11-25 05:26:33] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.594 (6.597), Lt: 5.850 (5.855), Acc m&t: 3.16 4.96, Remain: 1 day, 3:30:22, Finish: 2024-11-25 16:56
[11-25 05:26:33] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.594 (6.597), Lt: 5.850 (5.855), Acc m&t: 3.16 4.96, Remain: 1 day, 3:29:48, Finish: 2024-11-25 16:56
[11-25 05:26:33] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.594 (6.597), Lt: 5.850 (5.855), Acc m&t: 3.16 4.96, Remain: 1 day, 3:31:22, Finish: 2024-11-25 16:57
[11-25 05:26:33] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.594 (6.597), Lt: 5.850 (5.855), Acc m&t: 3.16 4.96, Remain: 1 day, 3:30:00, Finish: 2024-11-25 16:56
[11-25 05:26:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:12:43 tlr: 8.9e-05 tnm: 0.45 Lm: 6.555 (6.555) Lt: 5.822 (5.822) Accm: 3.31 (3.31) Acct: 5.30 (5.30) proj_loss: -0.5841 (-0.5841) time: 0.4572 data: 0.0004
[11-25 05:26:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:12:54 tlr: 8.9e-05 tnm: 0.45 Lm: 6.820 (6.820) Lt: 6.126 (6.126) Accm: 2.67 (2.67) Acct: 4.15 (4.15) proj_loss: -0.6049 (-0.6049) time: 0.4639 data: 0.0003
[11-25 05:26:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:12:44 tlr: 8.9e-05 tnm: 0.45 Lm: 6.509 (6.509) Lt: 5.749 (5.749) Accm: 3.13 (3.13) Acct: 5.20 (5.20) proj_loss: -0.6148 (-0.6148) time: 0.4578 data: 0.0004
[11-25 05:26:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:12:44 tlr: 8.9e-05 tnm: 0.45 Lm: 6.553 (6.553) Lt: 5.903 (5.903) Accm: 3.07 (3.07) Acct: 4.63 (4.63) proj_loss: -0.6042 (-0.6042) time: 0.4583 data: 0.0004
[11-25 05:30:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:10:22 tlr: 8.9e-05 tnm: 0.43 Lm: 6.581 (6.581) Lt: 5.886 (5.886) Accm: 3.01 (3.01) Acct: 4.59 (4.59) proj_loss: -0.6009 (-0.6009) time: 0.5955 data: 0.0003
[11-25 05:30:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:10:22 tlr: 8.9e-05 tnm: 0.43 Lm: 6.726 (6.726) Lt: 5.997 (5.997) Accm: 2.87 (2.87) Acct: 4.57 (4.57) proj_loss: -0.5925 (-0.5925) time: 0.5955 data: 0.0003
[11-25 05:30:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:10:22 tlr: 8.9e-05 tnm: 0.43 Lm: 6.604 (6.604) Lt: 5.881 (5.881) Accm: 3.13 (3.13) Acct: 4.92 (4.92) proj_loss: -0.5926 (-0.5926) time: 0.5955 data: 0.0003
[11-25 05:30:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:10:22 tlr: 8.9e-05 tnm: 0.43 Lm: 6.626 (6.626) Lt: 5.864 (5.864) Accm: 2.88 (2.88) Acct: 4.73 (4.73) proj_loss: -0.6078 (-0.6078) time: 0.5955 data: 0.0003
[11-25 05:33:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:07:00 tlr: 8.9e-05 tnm: 0.44 Lm: 6.663 (6.638) Lt: 5.916 (5.881) Accm: 2.99 (2.92) Acct: 4.65 (4.70) proj_loss: -0.6009 (-0.5977) time: 0.5420 data: 0.0003
[11-25 05:33:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:07:00 tlr: 8.9e-05 tnm: 0.44 Lm: 6.632 (6.681) Lt: 5.867 (5.920) Accm: 2.99 (2.91) Acct: 4.99 (4.71) proj_loss: -0.5965 (-0.5939) time: 0.5420 data: 0.0003
[11-25 05:33:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:07:00 tlr: 8.9e-05 tnm: 0.44 Lm: 6.652 (6.629) Lt: 5.941 (5.913) Accm: 3.10 (3.12) Acct: 4.63 (4.83) proj_loss: -0.5882 (-0.5911) time: 0.5420 data: 0.0003
[11-25 05:33:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:07:00 tlr: 8.9e-05 tnm: 0.44 Lm: 6.553 (6.563) Lt: 5.868 (5.850) Accm: 3.07 (3.12) Acct: 4.63 (4.76) proj_loss: -0.5976 (-0.5927) time: 0.5420 data: 0.0003
[11-25 05:37:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:03:32 tlr: 8.9e-05 tnm: 0.45 Lm: 6.581 (6.588) Lt: 5.886 (5.879) Accm: 3.01 (3.06) Acct: 4.67 (4.74) proj_loss: -0.5949 (-0.5926) time: 0.4924 data: 0.0003
[11-25 05:37:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:03:32 tlr: 8.9e-05 tnm: 0.45 Lm: 6.665 (6.658) Lt: 5.959 (5.947) Accm: 3.03 (3.04) Acct: 4.61 (4.76) proj_loss: -0.5862 (-0.5889) time: 0.4924 data: 0.0003
[11-25 05:37:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:03:32 tlr: 8.9e-05 tnm: 0.45 Lm: 6.590 (6.608) Lt: 5.847 (5.856) Accm: 3.06 (3.00) Acct: 4.92 (4.88) proj_loss: -0.6048 (-0.6005) time: 0.4924 data: 0.0003
[11-25 05:37:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:03:32 tlr: 8.9e-05 tnm: 0.45 Lm: 6.636 (6.671) Lt: 5.866 (5.906) Accm: 2.95 (2.91) Acct: 4.77 (4.67) proj_loss: -0.5942 (-0.5934) time: 0.4924 data: 0.0003
[11-25 05:40:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.43 Lm: 6.639 (6.696) Lt: 5.867 (5.954) Accm: 2.92 (2.85) Acct: 4.55 (4.54) proj_loss: -0.5926 (-0.5932) time: 0.4921 data: 0.0019
[11-25 05:40:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:14:10 (0.510 s / it)
[11-25 05:40:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.43 Lm: 6.609 (6.619) Lt: 5.903 (5.900) Accm: 2.96 (3.03) Acct: 4.70 (4.79) proj_loss: -0.5976 (-0.5944) time: 0.4921 data: 0.0017
[11-25 05:40:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.43 Lm: 6.678 (6.664) Lt: 5.977 (5.964) Accm: 2.96 (3.02) Acct: 4.58 (4.69) proj_loss: -0.5882 (-0.5890) time: 0.4921 data: 0.0019
[11-25 05:40:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.43 Lm: 6.663 (6.625) Lt: 5.916 (5.885) Accm: 2.99 (2.96) Acct: 4.65 (4.79) proj_loss: -0.6013 (-0.6006) time: 0.4921 data: 0.0016
[11-25 05:40:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:14:10 (0.510 s / it)
[11-25 05:40:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:14:10 (0.510 s / it)
[11-25 05:40:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:14:10 (0.510 s / it)
[11-25 05:40:44] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.594 (6.612), Lt: 5.850 (5.877), Acc m&t: 3.16 4.96, Remain: 1 day, 3:05:28, Finish: 2024-11-25 16:46
[11-25 05:40:44] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.594 (6.612), Lt: 5.850 (5.877), Acc m&t: 3.16 4.96, Remain: 1 day, 3:06:07, Finish: 2024-11-25 16:46
[11-25 05:40:44] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.594 (6.612), Lt: 5.850 (5.877), Acc m&t: 3.16 4.96, Remain: 1 day, 3:06:36, Finish: 2024-11-25 16:47
[11-25 05:40:44] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.594 (6.612), Lt: 5.850 (5.877), Acc m&t: 3.16 4.96, Remain: 1 day, 3:06:37, Finish: 2024-11-25 16:47
[11-25 05:40:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:12:57 tlr: 8.8e-05 tnm: 0.44 Lm: 6.649 (6.649) Lt: 5.894 (5.894) Accm: 3.00 (3.00) Acct: 4.80 (4.80) proj_loss: -0.5881 (-0.5881) time: 0.4660 data: 0.0003
[11-25 05:40:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:12:58 tlr: 8.8e-05 tnm: 0.44 Lm: 6.682 (6.682) Lt: 5.999 (5.999) Accm: 2.90 (2.90) Acct: 4.22 (4.22) proj_loss: -0.5977 (-0.5977) time: 0.4663 data: 0.0003
[11-25 05:40:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:12:58 tlr: 8.8e-05 tnm: 0.44 Lm: 6.565 (6.565) Lt: 5.785 (5.785) Accm: 3.19 (3.19) Acct: 5.22 (5.22) proj_loss: -0.6084 (-0.6084) time: 0.4663 data: 0.0004
[11-25 05:40:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:12:59 tlr: 8.8e-05 tnm: 0.44 Lm: 6.673 (6.673) Lt: 5.978 (5.978) Accm: 3.07 (3.07) Acct: 4.86 (4.86) proj_loss: -0.5824 (-0.5824) time: 0.4670 data: 0.0003
[11-25 05:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:10:14 tlr: 8.8e-05 tnm: 0.45 Lm: 6.600 (6.600) Lt: 5.868 (5.868) Accm: 3.17 (3.17) Acct: 5.10 (5.10) proj_loss: -0.5882 (-0.5882) time: 0.4918 data: 0.0003
[11-25 05:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:10:14 tlr: 8.8e-05 tnm: 0.45 Lm: 6.607 (6.607) Lt: 5.871 (5.871) Accm: 3.19 (3.19) Acct: 4.97 (4.97) proj_loss: -0.5917 (-0.5917) time: 0.4918 data: 0.0003
[11-25 05:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:10:14 tlr: 8.8e-05 tnm: 0.45 Lm: 6.612 (6.612) Lt: 5.865 (5.865) Accm: 3.09 (3.09) Acct: 5.06 (5.06) proj_loss: -0.6002 (-0.6002) time: 0.4918 data: 0.0003
[11-25 05:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:10:14 tlr: 8.8e-05 tnm: 0.45 Lm: 6.714 (6.714) Lt: 5.977 (5.977) Accm: 2.85 (2.85) Acct: 4.58 (4.58) proj_loss: -0.5932 (-0.5932) time: 0.4918 data: 0.0003
[11-25 05:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:06:51 tlr: 8.8e-05 tnm: 0.47 Lm: 6.649 (6.651) Lt: 5.894 (5.914) Accm: 2.94 (2.88) Acct: 4.60 (4.59) proj_loss: -0.5983 (-0.6010) time: 0.4912 data: 0.0003
[11-25 05:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:06:51 tlr: 8.8e-05 tnm: 0.47 Lm: 6.565 (6.517) Lt: 5.785 (5.737) Accm: 3.19 (3.29) Acct: 5.22 (5.39) proj_loss: -0.5920 (-0.5892) time: 0.4912 data: 0.0003
[11-25 05:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:06:51 tlr: 8.8e-05 tnm: 0.47 Lm: 6.655 (6.623) Lt: 5.944 (5.895) Accm: 3.03 (3.14) Acct: 4.89 (4.94) proj_loss: -0.5977 (-0.5964) time: 0.4912 data: 0.0003
[11-25 05:47:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:06:51 tlr: 8.8e-05 tnm: 0.47 Lm: 6.673 (6.625) Lt: 5.957 (5.897) Accm: 3.07 (3.14) Acct: 4.94 (5.04) proj_loss: -0.5939 (-0.5920) time: 0.4912 data: 0.0003
[11-25 05:51:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:03:26 tlr: 8.8e-05 tnm: 0.43 Lm: 6.674 (6.656) Lt: 5.967 (5.928) Accm: 3.07 (3.10) Acct: 4.90 (4.94) proj_loss: -0.5882 (-0.5884) time: 0.4913 data: 0.0003
[11-25 05:51:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:03:26 tlr: 8.8e-05 tnm: 0.43 Lm: 6.655 (6.631) Lt: 5.885 (5.878) Accm: 3.01 (3.10) Acct: 4.84 (4.90) proj_loss: -0.5961 (-0.5959) time: 0.4913 data: 0.0003
[11-25 05:51:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:03:26 tlr: 8.8e-05 tnm: 0.43 Lm: 6.603 (6.628) Lt: 5.873 (5.899) Accm: 2.97 (2.98) Acct: 4.64 (4.61) proj_loss: -0.6074 (-0.6050) time: 0.4913 data: 0.0003
[11-25 05:51:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:03:26 tlr: 8.8e-05 tnm: 0.43 Lm: 6.612 (6.560) Lt: 5.858 (5.785) Accm: 3.09 (3.17) Acct: 5.06 (5.09) proj_loss: -0.5883 (-0.5881) time: 0.4913 data: 0.0003
[11-25 05:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.44 Lm: 6.631 (6.574) Lt: 5.865 (5.801) Accm: 2.99 (3.11) Acct: 4.91 (4.99) proj_loss: -0.5876 (-0.5880) time: 0.4921 data: 0.0016
[11-25 05:54:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:13:55 (0.501 s / it)
[11-25 05:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.44 Lm: 6.654 (6.613) Lt: 5.825 (5.854) Accm: 3.03 (3.16) Acct: 4.89 (5.01) proj_loss: -0.5944 (-0.5950) time: 0.4921 data: 0.0020
[11-25 05:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.44 Lm: 6.673 (6.618) Lt: 5.957 (5.889) Accm: 3.07 (3.26) Acct: 4.94 (5.14) proj_loss: -0.5925 (-0.5892) time: 0.4921 data: 0.0019
[11-25 05:54:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.44 Lm: 6.649 (6.635) Lt: 5.894 (5.899) Accm: 2.97 (2.97) Acct: 4.68 (4.64) proj_loss: -0.5983 (-0.5955) time: 0.4921 data: 0.0015
[11-25 05:54:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:13:56 (0.501 s / it)
[11-25 05:54:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:13:56 (0.501 s / it)
[11-25 05:54:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:13:56 (0.501 s / it)
[11-25 05:54:40] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.594 (6.604), Lt: 5.850 (5.867), Acc m&t: 3.16 4.96, Remain: 1 day, 2:52:49, Finish: 2024-11-25 16:47
[11-25 05:54:40] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.594 (6.604), Lt: 5.850 (5.867), Acc m&t: 3.16 4.96, Remain: 1 day, 2:52:29, Finish: 2024-11-25 16:47
[11-25 05:54:40] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.594 (6.604), Lt: 5.850 (5.867), Acc m&t: 3.16 4.96, Remain: 1 day, 2:52:27, Finish: 2024-11-25 16:47
[11-25 05:54:40] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.594 (6.604), Lt: 5.850 (5.867), Acc m&t: 3.16 4.96, Remain: 1 day, 2:52:52, Finish: 2024-11-25 16:47
[11-25 05:54:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:13:30 tlr: 8.8e-05 tnm: 0.43 Lm: 6.659 (6.659) Lt: 5.929 (5.929) Accm: 2.91 (2.91) Acct: 4.51 (4.51) proj_loss: -0.6120 (-0.6120) time: 0.4854 data: 0.0003
[11-25 05:54:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:13:32 tlr: 8.8e-05 tnm: 0.43 Lm: 6.849 (6.849) Lt: 6.142 (6.142) Accm: 2.49 (2.49) Acct: 4.29 (4.29) proj_loss: -0.5947 (-0.5947) time: 0.4866 data: 0.0004
[11-25 05:54:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:13:22 tlr: 8.8e-05 tnm: 0.43 Lm: 6.643 (6.643) Lt: 5.899 (5.899) Accm: 2.92 (2.92) Acct: 4.68 (4.68) proj_loss: -0.6062 (-0.6062) time: 0.4808 data: 0.0005
[11-25 05:54:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:13:22 tlr: 8.8e-05 tnm: 0.43 Lm: 6.692 (6.692) Lt: 5.992 (5.992) Accm: 2.89 (2.89) Acct: 4.41 (4.41) proj_loss: -0.6015 (-0.6015) time: 0.4810 data: 0.0004
[11-25 05:58:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:10:54 tlr: 8.8e-05 tnm: 0.46 Lm: 6.517 (6.517) Lt: 5.796 (5.796) Accm: 3.26 (3.26) Acct: 5.04 (5.04) proj_loss: -0.6016 (-0.6016) time: 0.4910 data: 0.0003
[11-25 05:58:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:10:54 tlr: 8.8e-05 tnm: 0.46 Lm: 6.652 (6.652) Lt: 5.881 (5.881) Accm: 3.01 (3.01) Acct: 4.86 (4.86) proj_loss: -0.5910 (-0.5910) time: 0.4911 data: 0.0003
[11-25 05:58:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:10:54 tlr: 8.8e-05 tnm: 0.46 Lm: 6.505 (6.505) Lt: 5.750 (5.750) Accm: 3.52 (3.52) Acct: 5.29 (5.29) proj_loss: -0.6099 (-0.6099) time: 0.4911 data: 0.0003
[11-25 05:58:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:10:54 tlr: 8.8e-05 tnm: 0.46 Lm: 6.671 (6.671) Lt: 5.947 (5.947) Accm: 2.92 (2.92) Acct: 4.67 (4.67) proj_loss: -0.6062 (-0.6062) time: 0.4910 data: 0.0003
[11-25 06:01:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:07:10 tlr: 8.7e-05 tnm: 0.47 Lm: 6.643 (6.604) Lt: 5.899 (5.878) Accm: 2.92 (3.04) Acct: 4.68 (4.87) proj_loss: -0.6061 (-0.6056) time: 0.4910 data: 0.0003
[11-25 06:01:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:07:10 tlr: 8.7e-05 tnm: 0.47 Lm: 6.493 (6.509) Lt: 5.683 (5.759) Accm: 3.30 (3.28) Acct: 5.41 (5.16) proj_loss: -0.6015 (-0.6008) time: 0.4910 data: 0.0003
[11-25 06:01:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:07:10 tlr: 8.7e-05 tnm: 0.47 Lm: 6.597 (6.535) Lt: 5.873 (5.791) Accm: 2.98 (3.34) Acct: 4.75 (5.11) proj_loss: -0.6077 (-0.6035) time: 0.4909 data: 0.0003
[11-25 06:01:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:07:10 tlr: 8.7e-05 tnm: 0.47 Lm: 6.658 (6.654) Lt: 5.948 (5.903) Accm: 3.11 (3.04) Acct: 4.63 (4.78) proj_loss: -0.5947 (-0.5950) time: 0.4910 data: 0.0003
[11-25 06:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:03:32 tlr: 8.7e-05 tnm: 0.42 Lm: 6.679 (6.666) Lt: 5.937 (5.909) Accm: 2.94 (2.98) Acct: 4.55 (4.70) proj_loss: -0.5910 (-0.5907) time: 0.4931 data: 0.0003
[11-25 06:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:03:32 tlr: 8.7e-05 tnm: 0.42 Lm: 6.658 (6.622) Lt: 5.930 (5.899) Accm: 2.92 (2.92) Acct: 4.67 (4.64) proj_loss: -0.6062 (-0.6079) time: 0.4931 data: 0.0003
[11-25 06:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:03:32 tlr: 8.7e-05 tnm: 0.42 Lm: 6.530 (6.523) Lt: 5.769 (5.783) Accm: 3.32 (3.29) Acct: 5.26 (5.15) proj_loss: -0.6016 (-0.6043) time: 0.4931 data: 0.0003
[11-25 06:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:03:32 tlr: 8.7e-05 tnm: 0.42 Lm: 6.593 (6.549) Lt: 5.850 (5.800) Accm: 2.97 (3.25) Acct: 4.76 (5.02) proj_loss: -0.6099 (-0.6073) time: 0.4931 data: 0.0003
[11-25 06:08:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.44 Lm: 6.597 (6.591) Lt: 5.873 (5.849) Accm: 2.96 (3.15) Acct: 4.75 (4.87) proj_loss: -0.6120 (-0.6085) time: 0.4896 data: 0.0013
[11-25 06:08:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:13:59 (0.503 s / it)
[11-25 06:08:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.44 Lm: 6.567 (6.575) Lt: 5.854 (5.842) Accm: 3.30 (3.16) Acct: 5.11 (4.93) proj_loss: -0.6015 (-0.6032) time: 0.4896 data: 0.0023
[11-25 06:08:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.44 Lm: 6.643 (6.620) Lt: 5.899 (5.892) Accm: 2.92 (2.97) Acct: 4.68 (4.66) proj_loss: -0.6061 (-0.6065) time: 0.4896 data: 0.0016
[11-25 06:08:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.44 Lm: 6.658 (6.656) Lt: 5.926 (5.903) Accm: 3.00 (2.98) Acct: 4.63 (4.78) proj_loss: -0.5947 (-0.5943) time: 0.4896 data: 0.0017
[11-25 06:08:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:13:59 (0.503 s / it)
[11-25 06:08:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:13:59 (0.503 s / it)
[11-25 06:08:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:14:00 (0.503 s / it)
[11-25 06:08:40] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.594 (6.606), Lt: 5.850 (5.871), Acc m&t: 3.16 4.96, Remain: 1 day, 2:40:00, Finish: 2024-11-25 16:48
[11-25 06:08:40] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.594 (6.606), Lt: 5.850 (5.871), Acc m&t: 3.16 4.96, Remain: 1 day, 2:41:21, Finish: 2024-11-25 16:50
[11-25 06:08:40] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.594 (6.606), Lt: 5.850 (5.871), Acc m&t: 3.16 4.96, Remain: 1 day, 2:38:55, Finish: 2024-11-25 16:47
[11-25 06:08:40] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.594 (6.606), Lt: 5.850 (5.871), Acc m&t: 3.16 4.96, Remain: 1 day, 2:39:57, Finish: 2024-11-25 16:48
[11-25 06:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:13:16 tlr: 8.7e-05 tnm: 0.44 Lm: 6.606 (6.606) Lt: 5.875 (5.875) Accm: 3.55 (3.55) Acct: 5.75 (5.75) proj_loss: -0.5829 (-0.5829) time: 0.4774 data: 0.0003
[11-25 06:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:13:16 tlr: 8.7e-05 tnm: 0.44 Lm: 6.655 (6.655) Lt: 5.928 (5.928) Accm: 3.23 (3.23) Acct: 5.30 (5.30) proj_loss: -0.5986 (-0.5986) time: 0.4773 data: 0.0004
[11-25 06:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:13:16 tlr: 8.7e-05 tnm: 0.44 Lm: 6.760 (6.760) Lt: 6.060 (6.060) Accm: 2.67 (2.67) Acct: 4.36 (4.36) proj_loss: -0.5960 (-0.5960) time: 0.4774 data: 0.0005
[11-25 06:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:13:11 tlr: 8.7e-05 tnm: 0.44 Lm: 6.481 (6.481) Lt: 5.728 (5.728) Accm: 3.42 (3.42) Acct: 5.32 (5.32) proj_loss: -0.5993 (-0.5993) time: 0.4742 data: 0.0004
[11-25 06:12:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:10:32 tlr: 8.7e-05 tnm: 0.45 Lm: 6.569 (6.569) Lt: 5.852 (5.852) Accm: 3.27 (3.27) Acct: 4.97 (4.97) proj_loss: -0.6058 (-0.6058) time: 0.4927 data: 0.0003
[11-25 06:12:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:10:32 tlr: 8.7e-05 tnm: 0.45 Lm: 6.607 (6.607) Lt: 5.863 (5.863) Accm: 3.28 (3.28) Acct: 5.24 (5.24) proj_loss: -0.5875 (-0.5875) time: 0.4927 data: 0.0003
[11-25 06:12:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:10:32 tlr: 8.7e-05 tnm: 0.45 Lm: 6.621 (6.621) Lt: 5.932 (5.932) Accm: 3.10 (3.10) Acct: 4.84 (4.84) proj_loss: -0.6125 (-0.6125) time: 0.4927 data: 0.0003
[11-25 06:12:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:10:32 tlr: 8.7e-05 tnm: 0.45 Lm: 6.703 (6.703) Lt: 5.977 (5.977) Accm: 3.05 (3.05) Acct: 4.96 (4.96) proj_loss: -0.5905 (-0.5905) time: 0.4928 data: 0.0003
[11-25 06:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:07:03 tlr: 8.7e-05 tnm: 0.44 Lm: 6.655 (6.648) Lt: 5.928 (5.930) Accm: 3.17 (3.09) Acct: 5.20 (5.04) proj_loss: -0.5986 (-0.5937) time: 0.4897 data: 0.0003
[11-25 06:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:07:03 tlr: 8.7e-05 tnm: 0.44 Lm: 6.533 (6.592) Lt: 5.804 (5.880) Accm: 3.04 (3.08) Acct: 4.87 (4.85) proj_loss: -0.6085 (-0.6112) time: 0.4897 data: 0.0003
[11-25 06:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:07:03 tlr: 8.7e-05 tnm: 0.44 Lm: 6.481 (6.503) Lt: 5.728 (5.786) Accm: 3.42 (3.48) Acct: 5.32 (5.26) proj_loss: -0.5993 (-0.6007) time: 0.4897 data: 0.0003
[11-25 06:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:07:03 tlr: 8.7e-05 tnm: 0.44 Lm: 6.606 (6.549) Lt: 5.851 (5.808) Accm: 3.55 (3.40) Acct: 5.49 (5.33) proj_loss: -0.5921 (-0.5899) time: 0.4897 data: 0.0003
[11-25 06:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:03:35 tlr: 8.6e-05 tnm: 0.45 Lm: 6.607 (6.593) Lt: 5.863 (5.847) Accm: 3.28 (3.27) Acct: 5.26 (5.25) proj_loss: -0.5875 (-0.5877) time: 0.5945 data: 0.0003
[11-25 06:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:03:35 tlr: 8.6e-05 tnm: 0.45 Lm: 6.567 (6.594) Lt: 5.814 (5.866) Accm: 3.02 (3.06) Acct: 4.86 (4.85) proj_loss: -0.6038 (-0.6081) time: 0.5945 data: 0.0003
[11-25 06:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:03:35 tlr: 8.6e-05 tnm: 0.45 Lm: 6.596 (6.600) Lt: 5.882 (5.896) Accm: 3.20 (3.16) Acct: 4.97 (4.96) proj_loss: -0.5993 (-0.5995) time: 0.5945 data: 0.0003
[11-25 06:19:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:03:35 tlr: 8.6e-05 tnm: 0.45 Lm: 6.533 (6.524) Lt: 5.804 (5.810) Accm: 3.30 (3.41) Acct: 5.14 (5.18) proj_loss: -0.6033 (-0.6023) time: 0.5945 data: 0.0003
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.44 Lm: 6.585 (6.561) Lt: 5.881 (5.852) Accm: 3.18 (3.30) Acct: 4.96 (5.02) proj_loss: -0.5993 (-0.6008) time: 0.4879 data: 0.0015
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:14:13 (0.511 s / it)
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.44 Lm: 6.538 (6.583) Lt: 5.813 (5.856) Accm: 3.04 (3.12) Acct: 4.87 (4.92) proj_loss: -0.6085 (-0.6088) time: 0.4879 data: 0.0019
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.44 Lm: 6.655 (6.635) Lt: 5.928 (5.920) Accm: 3.17 (3.08) Acct: 4.73 (4.87) proj_loss: -0.6000 (-0.5997) time: 0.4879 data: 0.0019
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.44 Lm: 6.606 (6.592) Lt: 5.875 (5.858) Accm: 3.34 (3.28) Acct: 5.03 (5.15) proj_loss: -0.5851 (-0.5872) time: 0.4879 data: 0.0019
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:14:13 (0.511 s / it)
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:14:13 (0.511 s / it)
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:14:13 (0.511 s / it)
[11-25 06:22:54] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.594 (6.596), Lt: 5.850 (5.863), Acc m&t: 3.16 4.96, Remain: 1 day, 2:15:26, Finish: 2024-11-25 16:38
[11-25 06:22:54] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.594 (6.596), Lt: 5.850 (5.863), Acc m&t: 3.16 4.96, Remain: 1 day, 2:15:38, Finish: 2024-11-25 16:38
[11-25 06:22:54] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.594 (6.596), Lt: 5.850 (5.863), Acc m&t: 3.16 4.96, Remain: 1 day, 2:15:51, Finish: 2024-11-25 16:38
[11-25 06:22:54] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.594 (6.596), Lt: 5.850 (5.863), Acc m&t: 3.16 4.96, Remain: 1 day, 2:15:40, Finish: 2024-11-25 16:38
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:12:45 tlr: 8.6e-05 tnm: 0.44 Lm: 6.515 (6.515) Lt: 5.711 (5.711) Accm: 3.25 (3.25) Acct: 5.13 (5.13) proj_loss: -0.5699 (-0.5699) time: 0.4586 data: 0.0003
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:12:46 tlr: 8.6e-05 tnm: 0.44 Lm: 6.523 (6.523) Lt: 5.793 (5.793) Accm: 3.37 (3.37) Acct: 5.22 (5.22) proj_loss: -0.6024 (-0.6024) time: 0.4591 data: 0.0004
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:12:46 tlr: 8.6e-05 tnm: 0.44 Lm: 6.656 (6.656) Lt: 5.920 (5.920) Accm: 2.82 (2.82) Acct: 4.65 (4.65) proj_loss: -0.5859 (-0.5859) time: 0.4590 data: 0.0005
[11-25 06:22:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:12:45 tlr: 8.6e-05 tnm: 0.44 Lm: 6.638 (6.638) Lt: 5.924 (5.924) Accm: 2.86 (2.86) Acct: 4.91 (4.91) proj_loss: -0.5776 (-0.5776) time: 0.4589 data: 0.0004
[11-25 06:26:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:10:12 tlr: 8.6e-05 tnm: 0.43 Lm: 6.618 (6.618) Lt: 5.898 (5.898) Accm: 2.94 (2.94) Acct: 4.73 (4.73) proj_loss: -0.5844 (-0.5844) time: 0.4862 data: 0.0003
[11-25 06:26:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:10:12 tlr: 8.6e-05 tnm: 0.43 Lm: 6.575 (6.575) Lt: 5.813 (5.813) Accm: 3.25 (3.25) Acct: 5.09 (5.09) proj_loss: -0.5917 (-0.5917) time: 0.4862 data: 0.0003
[11-25 06:26:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:10:12 tlr: 8.6e-05 tnm: 0.43 Lm: 6.580 (6.580) Lt: 5.856 (5.856) Accm: 3.15 (3.15) Acct: 4.89 (4.89) proj_loss: -0.6001 (-0.6001) time: 0.4862 data: 0.0003
[11-25 06:26:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:10:12 tlr: 8.6e-05 tnm: 0.43 Lm: 6.638 (6.638) Lt: 5.882 (5.882) Accm: 2.90 (2.90) Acct: 4.75 (4.75) proj_loss: -0.5923 (-0.5923) time: 0.4863 data: 0.0003
[11-25 06:29:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:06:50 tlr: 8.6e-05 tnm: 0.45 Lm: 6.620 (6.628) Lt: 5.884 (5.883) Accm: 2.99 (2.96) Acct: 4.86 (4.80) proj_loss: -0.5981 (-0.5942) time: 0.5447 data: 0.0003
[11-25 06:29:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:06:50 tlr: 8.6e-05 tnm: 0.45 Lm: 6.611 (6.591) Lt: 5.858 (5.856) Accm: 2.96 (3.09) Acct: 4.65 (4.81) proj_loss: -0.5977 (-0.5980) time: 0.5447 data: 0.0003
[11-25 06:29:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:06:50 tlr: 8.6e-05 tnm: 0.45 Lm: 6.515 (6.544) Lt: 5.745 (5.790) Accm: 3.25 (3.35) Acct: 5.13 (5.26) proj_loss: -0.6009 (-0.5948) time: 0.5447 data: 0.0003
[11-25 06:29:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:06:50 tlr: 8.6e-05 tnm: 0.45 Lm: 6.598 (6.608) Lt: 5.871 (5.875) Accm: 3.02 (2.98) Acct: 4.86 (4.78) proj_loss: -0.5857 (-0.5848) time: 0.5447 data: 0.0003
[11-25 06:33:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:03:27 tlr: 8.6e-05 tnm: 0.43 Lm: 6.597 (6.605) Lt: 5.895 (5.886) Accm: 3.03 (3.00) Acct: 4.71 (4.71) proj_loss: -0.5885 (-0.5891) time: 0.4923 data: 0.0003
[11-25 06:33:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:03:27 tlr: 8.6e-05 tnm: 0.43 Lm: 6.638 (6.649) Lt: 5.902 (5.908) Accm: 2.90 (2.91) Acct: 4.75 (4.70) proj_loss: -0.5984 (-0.5970) time: 0.4922 data: 0.0003
[11-25 06:33:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:03:27 tlr: 8.6e-05 tnm: 0.43 Lm: 6.624 (6.624) Lt: 5.888 (5.903) Accm: 2.94 (2.97) Acct: 4.61 (4.61) proj_loss: -0.5958 (-0.5940) time: 0.4923 data: 0.0003
[11-25 06:33:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:03:27 tlr: 8.6e-05 tnm: 0.43 Lm: 6.532 (6.546) Lt: 5.800 (5.807) Accm: 3.25 (3.32) Acct: 5.09 (5.15) proj_loss: -0.5916 (-0.5917) time: 0.4923 data: 0.0003
[11-25 06:36:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.43 Lm: 6.550 (6.561) Lt: 5.856 (5.823) Accm: 3.24 (3.29) Acct: 5.04 (5.10) proj_loss: -0.5976 (-0.5929) time: 0.5423 data: 0.0020
[11-25 06:36:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:14:00 (0.504 s / it)
[11-25 06:36:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.43 Lm: 6.652 (6.649) Lt: 5.920 (5.911) Accm: 2.82 (2.87) Acct: 4.65 (4.65) proj_loss: -0.5987 (-0.5978) time: 0.5423 data: 0.0020
[11-25 06:36:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.43 Lm: 6.620 (6.623) Lt: 5.880 (5.899) Accm: 2.96 (3.00) Acct: 4.65 (4.69) proj_loss: -0.5939 (-0.5917) time: 0.5423 data: 0.0017
[11-25 06:36:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.43 Lm: 6.598 (6.638) Lt: 5.918 (5.905) Accm: 3.02 (2.96) Acct: 4.56 (4.64) proj_loss: -0.5857 (-0.5877) time: 0.5423 data: 0.0019
[11-25 06:36:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:14:00 (0.504 s / it)
[11-25 06:36:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:14:00 (0.504 s / it)
[11-25 06:36:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:14:00 (0.504 s / it)
[11-25 06:36:54] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.594 (6.597), Lt: 5.850 (5.858), Acc m&t: 3.16 4.96, Remain: 1 day, 2:04:32, Finish: 2024-11-25 16:41
[11-25 06:36:54] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.594 (6.597), Lt: 5.850 (5.858), Acc m&t: 3.16 4.96, Remain: 1 day, 2:05:17, Finish: 2024-11-25 16:42
[11-25 06:36:54] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.594 (6.597), Lt: 5.850 (5.858), Acc m&t: 3.16 4.96, Remain: 1 day, 2:05:04, Finish: 2024-11-25 16:41
[11-25 06:36:54] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.594 (6.597), Lt: 5.850 (5.858), Acc m&t: 3.16 4.96, Remain: 1 day, 2:05:01, Finish: 2024-11-25 16:41
[11-25 06:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:13:08 tlr: 8.6e-05 tnm: 0.44 Lm: 6.714 (6.714) Lt: 5.988 (5.988) Accm: 2.53 (2.53) Acct: 3.98 (3.98) proj_loss: -0.5979 (-0.5979) time: 0.4722 data: 0.0003
[11-25 06:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:13:07 tlr: 8.6e-05 tnm: 0.44 Lm: 6.485 (6.485) Lt: 5.712 (5.712) Accm: 3.51 (3.51) Acct: 5.25 (5.25) proj_loss: -0.6081 (-0.6081) time: 0.4719 data: 0.0004
[11-25 06:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:13:07 tlr: 8.6e-05 tnm: 0.44 Lm: 6.634 (6.634) Lt: 5.887 (5.887) Accm: 2.90 (2.90) Acct: 4.80 (4.80) proj_loss: -0.5943 (-0.5943) time: 0.4719 data: 0.0003
[11-25 06:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:13:00 tlr: 8.6e-05 tnm: 0.44 Lm: 6.667 (6.667) Lt: 5.980 (5.980) Accm: 2.95 (2.95) Acct: 4.61 (4.61) proj_loss: -0.5824 (-0.5824) time: 0.4678 data: 0.0003
[11-25 06:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:10:35 tlr: 8.5e-05 tnm: 0.44 Lm: 6.649 (6.649) Lt: 5.928 (5.928) Accm: 3.03 (3.03) Acct: 4.75 (4.75) proj_loss: -0.5897 (-0.5897) time: 0.4927 data: 0.0003
[11-25 06:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:10:35 tlr: 8.5e-05 tnm: 0.44 Lm: 6.535 (6.535) Lt: 5.769 (5.769) Accm: 3.40 (3.40) Acct: 5.31 (5.31) proj_loss: -0.5977 (-0.5977) time: 0.4927 data: 0.0003
[11-25 06:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:10:35 tlr: 8.5e-05 tnm: 0.44 Lm: 6.641 (6.641) Lt: 5.932 (5.932) Accm: 2.87 (2.87) Acct: 4.64 (4.64) proj_loss: -0.6084 (-0.6084) time: 0.4927 data: 0.0003
[11-25 06:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:10:35 tlr: 8.5e-05 tnm: 0.44 Lm: 6.664 (6.664) Lt: 5.968 (5.968) Accm: 2.96 (2.96) Acct: 4.50 (4.50) proj_loss: -0.6082 (-0.6082) time: 0.4927 data: 0.0003
[11-25 06:43:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:07:01 tlr: 8.5e-05 tnm: 0.44 Lm: 6.615 (6.628) Lt: 5.949 (5.921) Accm: 3.19 (3.04) Acct: 5.03 (4.75) proj_loss: -0.6128 (-0.6098) time: 0.4889 data: 0.0003
[11-25 06:43:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:07:01 tlr: 8.5e-05 tnm: 0.44 Lm: 6.634 (6.622) Lt: 5.887 (5.911) Accm: 2.90 (2.94) Acct: 4.80 (4.71) proj_loss: -0.6015 (-0.6061) time: 0.4889 data: 0.0003
[11-25 06:43:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:07:01 tlr: 8.5e-05 tnm: 0.44 Lm: 6.585 (6.629) Lt: 5.827 (5.898) Accm: 3.29 (3.13) Acct: 5.25 (4.94) proj_loss: -0.6065 (-0.6006) time: 0.4889 data: 0.0003
[11-25 06:43:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:07:01 tlr: 8.5e-05 tnm: 0.44 Lm: 6.631 (6.540) Lt: 5.877 (5.798) Accm: 3.10 (3.35) Acct: 4.89 (5.19) proj_loss: -0.5969 (-0.5956) time: 0.4889 data: 0.0003
[11-25 06:47:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:03:28 tlr: 8.5e-05 tnm: 0.46 Lm: 6.626 (6.561) Lt: 5.908 (5.833) Accm: 3.04 (3.25) Acct: 4.89 (5.11) proj_loss: -0.6022 (-0.5989) time: 0.4912 data: 0.0003
[11-25 06:47:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:03:28 tlr: 8.5e-05 tnm: 0.46 Lm: 6.595 (6.615) Lt: 5.891 (5.900) Accm: 3.09 (3.03) Acct: 4.92 (4.77) proj_loss: -0.6053 (-0.6028) time: 0.4912 data: 0.0003
[11-25 06:47:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:03:28 tlr: 8.5e-05 tnm: 0.46 Lm: 6.547 (6.599) Lt: 5.798 (5.866) Accm: 3.40 (3.26) Acct: 5.29 (5.04) proj_loss: -0.5969 (-0.5972) time: 0.4912 data: 0.0002
[11-25 06:47:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:03:28 tlr: 8.5e-05 tnm: 0.46 Lm: 6.608 (6.609) Lt: 5.878 (5.886) Accm: 2.98 (3.03) Acct: 4.82 (4.79) proj_loss: -0.5979 (-0.6019) time: 0.4912 data: 0.0003
[11-25 06:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.45 Lm: 6.583 (6.601) Lt: 5.869 (5.870) Accm: 3.06 (3.10) Acct: 4.84 (4.87) proj_loss: -0.6015 (-0.6033) time: 0.4956 data: 0.0023
[11-25 06:50:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:13:51 (0.498 s / it)
[11-25 06:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.45 Lm: 6.597 (6.611) Lt: 5.873 (5.894) Accm: 3.19 (3.06) Acct: 4.94 (4.80) proj_loss: -0.6064 (-0.6035) time: 0.4956 data: 0.0014
[11-25 06:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.45 Lm: 6.622 (6.530) Lt: 5.877 (5.790) Accm: 3.10 (3.32) Acct: 4.89 (5.22) proj_loss: -0.5969 (-0.5976) time: 0.4956 data: 0.0016
[11-25 06:50:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.45 Lm: 6.558 (6.591) Lt: 5.827 (5.862) Accm: 3.29 (3.23) Acct: 5.25 (4.99) proj_loss: -0.5914 (-0.5961) time: 0.4956 data: 0.0020
[11-25 06:50:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:13:51 (0.498 s / it)
[11-25 06:50:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:13:51 (0.498 s / it)
[11-25 06:50:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:13:51 (0.498 s / it)
[11-25 06:50:46] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.594 (6.595), Lt: 5.850 (5.852), Acc m&t: 3.16 4.97, Remain: 1 day, 2:09:14, Finish: 2024-11-25 17:00
[11-25 06:50:46] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.594 (6.595), Lt: 5.850 (5.852), Acc m&t: 3.16 4.97, Remain: 1 day, 2:10:00, Finish: 2024-11-25 17:00
[11-25 06:50:46] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.594 (6.595), Lt: 5.850 (5.852), Acc m&t: 3.16 4.97, Remain: 1 day, 2:09:00, Finish: 2024-11-25 16:59
[11-25 06:50:46] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.594 (6.595), Lt: 5.850 (5.852), Acc m&t: 3.16 4.97, Remain: 1 day, 2:09:24, Finish: 2024-11-25 17:00
[11-25 06:50:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:13:16 tlr: 8.5e-05 tnm: 0.46 Lm: 6.691 (6.691) Lt: 5.961 (5.961) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.5929 (-0.5929) time: 0.4775 data: 0.0003
[11-25 06:50:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:13:16 tlr: 8.5e-05 tnm: 0.46 Lm: 6.632 (6.632) Lt: 5.902 (5.902) Accm: 2.72 (2.72) Acct: 4.42 (4.42) proj_loss: -0.6169 (-0.6169) time: 0.4774 data: 0.0004
[11-25 06:50:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:13:17 tlr: 8.5e-05 tnm: 0.46 Lm: 6.580 (6.580) Lt: 5.856 (5.856) Accm: 3.08 (3.08) Acct: 4.86 (4.86) proj_loss: -0.6084 (-0.6084) time: 0.4779 data: 0.0003
[11-25 06:50:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:13:17 tlr: 8.5e-05 tnm: 0.46 Lm: 6.544 (6.544) Lt: 5.808 (5.808) Accm: 2.99 (2.99) Acct: 4.56 (4.56) proj_loss: -0.5940 (-0.5940) time: 0.4778 data: 0.0004
[11-25 06:54:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:10:41 tlr: 8.5e-05 tnm: 0.45 Lm: 6.622 (6.622) Lt: 5.911 (5.911) Accm: 2.96 (2.96) Acct: 4.62 (4.62) proj_loss: -0.5951 (-0.5951) time: 0.4904 data: 0.0003
[11-25 06:54:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:10:41 tlr: 8.5e-05 tnm: 0.45 Lm: 6.597 (6.597) Lt: 5.854 (5.854) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: -0.6141 (-0.6141) time: 0.4903 data: 0.0003
[11-25 06:54:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:10:41 tlr: 8.5e-05 tnm: 0.45 Lm: 6.581 (6.581) Lt: 5.850 (5.850) Accm: 3.01 (3.01) Acct: 4.73 (4.73) proj_loss: -0.6107 (-0.6107) time: 0.4904 data: 0.0003
[11-25 06:54:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:10:41 tlr: 8.5e-05 tnm: 0.45 Lm: 6.590 (6.590) Lt: 5.852 (5.852) Accm: 3.06 (3.06) Acct: 4.74 (4.74) proj_loss: -0.5941 (-0.5941) time: 0.4904 data: 0.0003
[11-25 06:57:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:07:07 tlr: 8.4e-05 tnm: 0.44 Lm: 6.506 (6.562) Lt: 5.743 (5.814) Accm: 3.38 (3.20) Acct: 5.13 (4.95) proj_loss: -0.5942 (-0.5942) time: 0.4932 data: 0.0003
[11-25 06:57:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:07:07 tlr: 8.4e-05 tnm: 0.44 Lm: 6.580 (6.576) Lt: 5.852 (5.851) Accm: 3.08 (3.13) Acct: 4.86 (4.96) proj_loss: -0.6084 (-0.6088) time: 0.4933 data: 0.0003
[11-25 06:57:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:07:07 tlr: 8.4e-05 tnm: 0.44 Lm: 6.562 (6.533) Lt: 5.805 (5.775) Accm: 3.35 (3.28) Acct: 5.17 (5.29) proj_loss: -0.6153 (-0.6145) time: 0.4932 data: 0.0003
[11-25 06:57:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:07:07 tlr: 8.4e-05 tnm: 0.44 Lm: 6.552 (6.599) Lt: 5.808 (5.857) Accm: 2.99 (3.06) Acct: 4.68 (4.83) proj_loss: -0.5940 (-0.5897) time: 0.4933 data: 0.0003
[11-25 07:01:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:03:36 tlr: 8.4e-05 tnm: 0.46 Lm: 6.626 (6.647) Lt: 5.911 (5.905) Accm: 2.96 (2.97) Acct: 4.62 (4.70) proj_loss: -0.5916 (-0.5896) time: 0.4897 data: 0.0003
[11-25 07:01:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:03:36 tlr: 8.4e-05 tnm: 0.46 Lm: 6.581 (6.589) Lt: 5.854 (5.866) Accm: 3.01 (3.04) Acct: 4.73 (4.76) proj_loss: -0.6090 (-0.6090) time: 0.4897 data: 0.0002
[11-25 07:01:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:03:36 tlr: 8.4e-05 tnm: 0.46 Lm: 6.484 (6.488) Lt: 5.711 (5.728) Accm: 3.56 (3.46) Acct: 5.72 (5.54) proj_loss: -0.6133 (-0.6079) time: 0.4897 data: 0.0003
[11-25 07:01:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:03:36 tlr: 8.4e-05 tnm: 0.46 Lm: 6.547 (6.568) Lt: 5.816 (5.832) Accm: 3.41 (3.26) Acct: 5.24 (5.05) proj_loss: -0.5948 (-0.5990) time: 0.4897 data: 0.0003
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.44 Lm: 6.589 (6.585) Lt: 5.880 (5.842) Accm: 3.38 (3.19) Acct: 5.13 (4.99) proj_loss: -0.5953 (-0.5995) time: 0.4951 data: 0.0018
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:14:14 (0.512 s / it)
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.44 Lm: 6.510 (6.492) Lt: 5.770 (5.736) Accm: 3.47 (3.46) Acct: 5.27 (5.48) proj_loss: -0.6113 (-0.6063) time: 0.4951 data: 0.0020
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.44 Lm: 6.701 (6.679) Lt: 6.015 (5.948) Accm: 2.92 (2.93) Acct: 4.56 (4.58) proj_loss: -0.5940 (-0.5916) time: 0.4951 data: 0.0017
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.44 Lm: 6.580 (6.583) Lt: 5.852 (5.847) Accm: 3.08 (3.07) Acct: 4.86 (4.82) proj_loss: -0.6085 (-0.6089) time: 0.4951 data: 0.0020
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:14:14 (0.512 s / it)
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:14:14 (0.512 s / it)
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:14:14 (0.512 s / it)
[11-25 07:05:01] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.594 (6.606), Lt: 5.850 (5.865), Acc m&t: 3.16 4.97, Remain: 1 day, 1:46:40, Finish: 2024-11-25 16:51
[11-25 07:05:01] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.594 (6.606), Lt: 5.850 (5.865), Acc m&t: 3.16 4.97, Remain: 1 day, 1:46:56, Finish: 2024-11-25 16:51
[11-25 07:05:01] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.594 (6.606), Lt: 5.850 (5.865), Acc m&t: 3.16 4.97, Remain: 1 day, 1:46:52, Finish: 2024-11-25 16:51
[11-25 07:05:01] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.594 (6.606), Lt: 5.850 (5.865), Acc m&t: 3.16 4.97, Remain: 1 day, 1:46:42, Finish: 2024-11-25 16:51
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:12:56 tlr: 8.4e-05 tnm: 0.43 Lm: 6.629 (6.629) Lt: 5.869 (5.869) Accm: 2.91 (2.91) Acct: 4.65 (4.65) proj_loss: -0.6066 (-0.6066) time: 0.4654 data: 0.0004
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:12:56 tlr: 8.4e-05 tnm: 0.43 Lm: 6.478 (6.478) Lt: 5.708 (5.708) Accm: 3.40 (3.40) Acct: 4.99 (4.99) proj_loss: -0.5923 (-0.5923) time: 0.4654 data: 0.0004
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:12:57 tlr: 8.4e-05 tnm: 0.43 Lm: 6.503 (6.503) Lt: 5.728 (5.728) Accm: 3.21 (3.21) Acct: 4.99 (4.99) proj_loss: -0.6115 (-0.6115) time: 0.4659 data: 0.0004
[11-25 07:05:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:12:58 tlr: 8.4e-05 tnm: 0.43 Lm: 6.668 (6.668) Lt: 5.858 (5.858) Accm: 2.70 (2.70) Acct: 4.55 (4.55) proj_loss: -0.5740 (-0.5740) time: 0.4661 data: 0.0004
[11-25 07:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:10:13 tlr: 8.4e-05 tnm: 0.46 Lm: 6.632 (6.632) Lt: 5.874 (5.874) Accm: 2.82 (2.82) Acct: 4.41 (4.41) proj_loss: -0.5865 (-0.5865) time: 0.4932 data: 0.0003
[11-25 07:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:10:13 tlr: 8.4e-05 tnm: 0.46 Lm: 6.555 (6.555) Lt: 5.775 (5.775) Accm: 3.25 (3.25) Acct: 5.01 (5.01) proj_loss: -0.6039 (-0.6039) time: 0.4932 data: 0.0003
[11-25 07:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:10:13 tlr: 8.4e-05 tnm: 0.46 Lm: 6.512 (6.512) Lt: 5.734 (5.734) Accm: 3.30 (3.30) Acct: 4.93 (4.93) proj_loss: -0.5960 (-0.5960) time: 0.4932 data: 0.0003
[11-25 07:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:10:13 tlr: 8.4e-05 tnm: 0.46 Lm: 6.584 (6.584) Lt: 5.808 (5.808) Accm: 2.90 (2.90) Acct: 4.58 (4.58) proj_loss: -0.5998 (-0.5998) time: 0.4932 data: 0.0003
[11-25 07:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:06:52 tlr: 8.4e-05 tnm: 0.44 Lm: 6.629 (6.613) Lt: 5.854 (5.823) Accm: 2.91 (2.92) Acct: 4.51 (4.56) proj_loss: -0.5929 (-0.5974) time: 0.4851 data: 0.0003
[11-25 07:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:06:52 tlr: 8.4e-05 tnm: 0.44 Lm: 6.546 (6.532) Lt: 5.760 (5.754) Accm: 3.21 (3.26) Acct: 4.99 (5.02) proj_loss: -0.5996 (-0.5983) time: 0.4851 data: 0.0003
[11-25 07:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:06:52 tlr: 8.4e-05 tnm: 0.44 Lm: 6.607 (6.589) Lt: 5.821 (5.805) Accm: 3.21 (3.14) Acct: 4.99 (4.96) proj_loss: -0.5963 (-0.5933) time: 0.4850 data: 0.0003
[11-25 07:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:06:52 tlr: 8.4e-05 tnm: 0.44 Lm: 6.596 (6.609) Lt: 5.858 (5.856) Accm: 2.94 (3.01) Acct: 4.55 (4.84) proj_loss: -0.5960 (-0.5897) time: 0.4851 data: 0.0003
[11-25 07:15:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:03:28 tlr: 8.4e-05 tnm: 0.43 Lm: 6.618 (6.617) Lt: 5.874 (5.878) Accm: 3.11 (3.08) Acct: 4.79 (4.89) proj_loss: -0.5975 (-0.5950) time: 0.4887 data: 0.0003
[11-25 07:15:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:03:28 tlr: 8.4e-05 tnm: 0.43 Lm: 6.650 (6.644) Lt: 5.862 (5.880) Accm: 2.90 (2.88) Acct: 4.51 (4.48) proj_loss: -0.5998 (-0.6040) time: 0.4887 data: 0.0003
[11-25 07:15:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:03:28 tlr: 8.4e-05 tnm: 0.43 Lm: 6.552 (6.539) Lt: 5.777 (5.776) Accm: 3.23 (3.26) Acct: 5.07 (5.05) proj_loss: -0.6014 (-0.6007) time: 0.4886 data: 0.0003
[11-25 07:15:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:03:28 tlr: 8.4e-05 tnm: 0.43 Lm: 6.555 (6.542) Lt: 5.775 (5.761) Accm: 3.25 (3.28) Acct: 5.01 (5.17) proj_loss: -0.5980 (-0.5949) time: 0.4887 data: 0.0003
[11-25 07:19:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.45 Lm: 6.503 (6.515) Lt: 5.728 (5.737) Accm: 3.29 (3.39) Acct: 5.03 (5.38) proj_loss: -0.5963 (-0.5926) time: 0.4936 data: 0.0018
[11-25 07:19:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:14:06 (0.507 s / it)
[11-25 07:19:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.45 Lm: 6.546 (6.540) Lt: 5.795 (5.784) Accm: 3.21 (3.25) Acct: 4.99 (5.02) proj_loss: -0.5996 (-0.6002) time: 0.4936 data: 0.0021
[11-25 07:19:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.45 Lm: 6.629 (6.632) Lt: 5.869 (5.882) Accm: 2.90 (2.85) Acct: 4.51 (4.40) proj_loss: -0.6066 (-0.6059) time: 0.4936 data: 0.0015
[11-25 07:19:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.45 Lm: 6.639 (6.628) Lt: 5.889 (5.891) Accm: 2.94 (3.03) Acct: 4.55 (4.76) proj_loss: -0.5990 (-0.5960) time: 0.4936 data: 0.0018
[11-25 07:19:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:14:06 (0.507 s / it)
[11-25 07:19:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:14:06 (0.507 s / it)
[11-25 07:19:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:14:06 (0.507 s / it)
[11-25 07:19:07] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.590 (6.590), Lt: 5.848 (5.848), Acc m&t: 3.16 4.97, Remain: 1 day, 1:36:50, Finish: 2024-11-25 16:55
[11-25 07:19:07] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.590 (6.590), Lt: 5.848 (5.848), Acc m&t: 3.16 4.97, Remain: 1 day, 1:36:19, Finish: 2024-11-25 16:55
[11-25 07:19:07] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.590 (6.590), Lt: 5.848 (5.848), Acc m&t: 3.16 4.97, Remain: 1 day, 1:36:25, Finish: 2024-11-25 16:55
[11-25 07:19:07] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.590 (6.590), Lt: 5.848 (5.848), Acc m&t: 3.16 4.97, Remain: 1 day, 1:35:44, Finish: 2024-11-25 16:54
[11-25 07:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:13:19 tlr: 8.3e-05 tnm: 0.46 Lm: 6.563 (6.563) Lt: 5.835 (5.835) Accm: 3.13 (3.13) Acct: 4.98 (4.98) proj_loss: -0.6294 (-0.6294) time: 0.4790 data: 0.0003
[11-25 07:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:13:18 tlr: 8.3e-05 tnm: 0.46 Lm: 6.513 (6.513) Lt: 5.831 (5.831) Accm: 3.34 (3.34) Acct: 4.80 (4.80) proj_loss: -0.5766 (-0.5766) time: 0.4786 data: 0.0004
[11-25 07:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:13:20 tlr: 8.3e-05 tnm: 0.46 Lm: 6.627 (6.627) Lt: 5.936 (5.936) Accm: 3.01 (3.01) Acct: 4.61 (4.61) proj_loss: -0.6222 (-0.6222) time: 0.4796 data: 0.0004
[11-25 07:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:13:21 tlr: 8.3e-05 tnm: 0.46 Lm: 6.439 (6.439) Lt: 5.660 (5.660) Accm: 3.58 (3.58) Acct: 5.60 (5.60) proj_loss: -0.5856 (-0.5856) time: 0.4805 data: 0.0004
[11-25 07:22:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:10:37 tlr: 8.3e-05 tnm: 0.46 Lm: 6.458 (6.458) Lt: 5.670 (5.670) Accm: 3.51 (3.51) Acct: 5.70 (5.70) proj_loss: -0.6024 (-0.6024) time: 0.4886 data: 0.0003
[11-25 07:22:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:10:37 tlr: 8.3e-05 tnm: 0.46 Lm: 6.559 (6.559) Lt: 5.830 (5.830) Accm: 3.11 (3.11) Acct: 4.62 (4.62) proj_loss: -0.5743 (-0.5743) time: 0.4886 data: 0.0003
[11-25 07:22:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:10:37 tlr: 8.3e-05 tnm: 0.46 Lm: 6.579 (6.579) Lt: 5.814 (5.814) Accm: 3.08 (3.08) Acct: 5.13 (5.13) proj_loss: -0.6146 (-0.6146) time: 0.4886 data: 0.0003
[11-25 07:22:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:10:37 tlr: 8.3e-05 tnm: 0.46 Lm: 6.654 (6.654) Lt: 5.980 (5.980) Accm: 2.92 (2.92) Acct: 4.39 (4.39) proj_loss: -0.6147 (-0.6147) time: 0.4886 data: 0.0003
[11-25 07:26:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:06:57 tlr: 8.3e-05 tnm: 0.43 Lm: 6.655 (6.654) Lt: 5.959 (5.973) Accm: 3.01 (2.97) Acct: 4.61 (4.47) proj_loss: -0.6072 (-0.6083) time: 0.4942 data: 0.0003
[11-25 07:26:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:06:57 tlr: 8.3e-05 tnm: 0.43 Lm: 6.595 (6.606) Lt: 5.835 (5.840) Accm: 3.04 (3.03) Acct: 4.98 (4.91) proj_loss: -0.5998 (-0.6061) time: 0.4941 data: 0.0003
[11-25 07:26:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:06:57 tlr: 8.3e-05 tnm: 0.43 Lm: 6.478 (6.546) Lt: 5.679 (5.788) Accm: 3.45 (3.27) Acct: 5.60 (5.27) proj_loss: -0.5977 (-0.6008) time: 0.4941 data: 0.0003
[11-25 07:26:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:06:57 tlr: 8.3e-05 tnm: 0.43 Lm: 6.539 (6.552) Lt: 5.830 (5.828) Accm: 3.34 (3.19) Acct: 4.80 (4.87) proj_loss: -0.5766 (-0.5903) time: 0.4942 data: 0.0003
[11-25 07:29:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:03:27 tlr: 8.3e-05 tnm: 0.45 Lm: 6.572 (6.602) Lt: 5.830 (5.880) Accm: 3.11 (3.07) Acct: 4.62 (4.73) proj_loss: -0.5835 (-0.5903) time: 0.4911 data: 0.0003
[11-25 07:29:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:03:27 tlr: 8.3e-05 tnm: 0.45 Lm: 6.588 (6.584) Lt: 5.840 (5.841) Accm: 3.18 (3.19) Acct: 5.05 (5.08) proj_loss: -0.5916 (-0.5952) time: 0.4911 data: 0.0003
[11-25 07:29:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:03:27 tlr: 8.3e-05 tnm: 0.45 Lm: 6.641 (6.642) Lt: 5.948 (5.956) Accm: 3.04 (3.01) Acct: 4.62 (4.58) proj_loss: -0.6014 (-0.6049) time: 0.4911 data: 0.0003
[11-25 07:29:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:03:27 tlr: 8.3e-05 tnm: 0.45 Lm: 6.579 (6.575) Lt: 5.814 (5.819) Accm: 3.08 (3.14) Acct: 5.13 (5.09) proj_loss: -0.5951 (-0.6021) time: 0.4911 data: 0.0003
[11-25 07:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.45 Lm: 6.563 (6.573) Lt: 5.830 (5.821) Accm: 3.04 (3.11) Acct: 4.98 (5.01) proj_loss: -0.5903 (-0.5976) time: 0.5498 data: 0.0014
[11-25 07:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:13:51 (0.498 s / it)
[11-25 07:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.45 Lm: 6.655 (6.644) Lt: 5.959 (5.957) Accm: 3.04 (3.01) Acct: 4.63 (4.60) proj_loss: -0.6072 (-0.6055) time: 0.5498 data: 0.0017
[11-25 07:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.45 Lm: 6.659 (6.599) Lt: 5.932 (5.859) Accm: 2.94 (3.14) Acct: 4.77 (5.02) proj_loss: -0.5977 (-0.5987) time: 0.5498 data: 0.0016
[11-25 07:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.45 Lm: 6.605 (6.621) Lt: 5.831 (5.895) Accm: 2.88 (3.02) Acct: 4.44 (4.65) proj_loss: -0.5781 (-0.5878) time: 0.5498 data: 0.0019
[11-25 07:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:13:51 (0.498 s / it)
[11-25 07:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:13:51 (0.498 s / it)
[11-25 07:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:13:51 (0.498 s / it)
[11-25 07:35:16] (home/user/VAR/trainer.py, line 114)=> FID: 3.674969380476682
[11-25 07:35:17] (/home/user/VAR/train.py , line 259)=> [*] [ep239] (val 50000) Lm: 6.5964, Lt: 5.8593, Acc m&t: 3.13 4.92, Val cost: 137.62s
[11-25 07:35:17] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 07:35:29] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.590 (6.596), Lt: 5.848 (5.859), Acc m&t: 3.16 4.97, Remain: 1 day, 1:19:25, Finish: 2024-11-25 16:52
[11-25 07:35:29] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.590 (6.596), Lt: 5.848 (5.859), Acc m&t: 3.16 4.97, Remain: 1 day, 1:19:16, Finish: 2024-11-25 16:52
[11-25 07:35:29] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.590 (6.596), Lt: 5.848 (5.859), Acc m&t: 3.16 4.97, Remain: 1 day, 1:19:28, Finish: 2024-11-25 16:52
[11-25 07:35:29] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.590 (6.596), Lt: 5.848 (5.859), Acc m&t: 3.16 4.97, Remain: 1 day, 1:19:25, Finish: 2024-11-25 16:52
[11-25 07:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:13:15 tlr: 8.3e-05 tnm: 0.44 Lm: 6.485 (6.485) Lt: 5.759 (5.759) Accm: 3.36 (3.36) Acct: 5.13 (5.13) proj_loss: -0.6062 (-0.6062) time: 0.4767 data: 0.0003
[11-25 07:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:13:18 tlr: 8.3e-05 tnm: 0.44 Lm: 6.712 (6.712) Lt: 6.032 (6.032) Accm: 2.83 (2.83) Acct: 4.37 (4.37) proj_loss: -0.6004 (-0.6004) time: 0.4783 data: 0.0004
[11-25 07:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:13:28 tlr: 8.3e-05 tnm: 0.44 Lm: 6.413 (6.413) Lt: 5.655 (5.655) Accm: 3.55 (3.55) Acct: 5.51 (5.51) proj_loss: -0.5941 (-0.5941) time: 0.4844 data: 0.0005
[11-25 07:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:13:39 tlr: 8.3e-05 tnm: 0.44 Lm: 6.616 (6.616) Lt: 5.828 (5.828) Accm: 3.04 (3.04) Acct: 4.89 (4.89) proj_loss: -0.5783 (-0.5783) time: 0.4912 data: 0.0004
[11-25 07:39:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:10:33 tlr: 8.2e-05 tnm: 0.46 Lm: 6.647 (6.647) Lt: 5.880 (5.880) Accm: 2.93 (2.93) Acct: 4.75 (4.75) proj_loss: -0.5862 (-0.5862) time: 0.4882 data: 0.0003
[11-25 07:39:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:10:33 tlr: 8.2e-05 tnm: 0.46 Lm: 6.634 (6.634) Lt: 5.911 (5.911) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: -0.6050 (-0.6050) time: 0.4882 data: 0.0003
[11-25 07:39:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:10:33 tlr: 8.2e-05 tnm: 0.46 Lm: 6.452 (6.452) Lt: 5.693 (5.693) Accm: 3.50 (3.50) Acct: 5.58 (5.58) proj_loss: -0.5977 (-0.5977) time: 0.4882 data: 0.0003
[11-25 07:39:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:10:33 tlr: 8.2e-05 tnm: 0.46 Lm: 6.538 (6.538) Lt: 5.802 (5.802) Accm: 3.37 (3.37) Acct: 5.23 (5.23) proj_loss: -0.5965 (-0.5965) time: 0.4882 data: 0.0003
[11-25 07:42:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:07:10 tlr: 8.2e-05 tnm: 0.45 Lm: 6.591 (6.588) Lt: 5.844 (5.850) Accm: 3.36 (3.16) Acct: 5.13 (4.99) proj_loss: -0.5867 (-0.5923) time: 0.5406 data: 0.0003
[11-25 07:42:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:07:10 tlr: 8.2e-05 tnm: 0.45 Lm: 6.557 (6.577) Lt: 5.791 (5.845) Accm: 3.26 (3.20) Acct: 5.23 (5.09) proj_loss: -0.6013 (-0.6038) time: 0.5407 data: 0.0003
[11-25 07:42:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:07:10 tlr: 8.2e-05 tnm: 0.45 Lm: 6.491 (6.486) Lt: 5.732 (5.717) Accm: 3.45 (3.40) Acct: 5.51 (5.49) proj_loss: -0.5963 (-0.5972) time: 0.5406 data: 0.0003
[11-25 07:42:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:07:10 tlr: 8.2e-05 tnm: 0.45 Lm: 6.616 (6.606) Lt: 5.828 (5.857) Accm: 3.04 (3.03) Acct: 4.89 (4.84) proj_loss: -0.5941 (-0.5943) time: 0.5407 data: 0.0002
[11-25 07:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:03:35 tlr: 8.2e-05 tnm: 0.45 Lm: 6.583 (6.592) Lt: 5.819 (5.841) Accm: 3.12 (3.07) Acct: 4.96 (4.91) proj_loss: -0.5927 (-0.5936) time: 0.4882 data: 0.0003
[11-25 07:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:03:35 tlr: 8.2e-05 tnm: 0.45 Lm: 6.627 (6.607) Lt: 5.866 (5.869) Accm: 3.04 (3.08) Acct: 4.91 (4.96) proj_loss: -0.6009 (-0.5961) time: 0.4882 data: 0.0003
[11-25 07:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:03:35 tlr: 8.2e-05 tnm: 0.45 Lm: 6.518 (6.501) Lt: 5.743 (5.727) Accm: 3.42 (3.40) Acct: 5.43 (5.46) proj_loss: -0.5969 (-0.5973) time: 0.4882 data: 0.0003
[11-25 07:46:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:03:35 tlr: 8.2e-05 tnm: 0.45 Lm: 6.578 (6.582) Lt: 5.837 (5.846) Accm: 3.34 (3.20) Acct: 5.05 (4.99) proj_loss: -0.5944 (-0.5947) time: 0.4882 data: 0.0003
[11-25 07:49:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.44 Lm: 6.591 (6.590) Lt: 5.844 (5.859) Accm: 3.31 (3.17) Acct: 4.98 (4.90) proj_loss: -0.5867 (-0.5912) time: 0.4898 data: 0.0017
[11-25 07:49:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:14:09 (0.509 s / it)
[11-25 07:49:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.44 Lm: 6.579 (6.589) Lt: 5.828 (5.849) Accm: 3.18 (3.10) Acct: 4.89 (4.89) proj_loss: -0.5941 (-0.5974) time: 0.4898 data: 0.0020
[11-25 07:49:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.44 Lm: 6.561 (6.598) Lt: 5.835 (5.862) Accm: 3.26 (3.13) Acct: 4.99 (4.97) proj_loss: -0.6004 (-0.5958) time: 0.4898 data: 0.0018
[11-25 07:49:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.44 Lm: 6.545 (6.534) Lt: 5.755 (5.772) Accm: 3.38 (3.29) Acct: 5.35 (5.24) proj_loss: -0.5963 (-0.5948) time: 0.4898 data: 0.0017
[11-25 07:49:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:14:09 (0.509 s / it)
[11-25 07:49:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:14:09 (0.509 s / it)
[11-25 07:49:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:14:09 (0.509 s / it)
[11-25 07:49:39] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.581 (6.581), Lt: 5.841 (5.841), Acc m&t: 3.16 4.97, Remain: 1 day, 1:01:39, Finish: 2024-11-25 16:51
[11-25 07:49:39] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.581 (6.581), Lt: 5.841 (5.841), Acc m&t: 3.16 4.97, Remain: 1 day, 1:01:39, Finish: 2024-11-25 16:51
[11-25 07:49:39] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.581 (6.581), Lt: 5.841 (5.841), Acc m&t: 3.16 4.97, Remain: 1 day, 1:01:40, Finish: 2024-11-25 16:51
[11-25 07:49:39] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.581 (6.581), Lt: 5.841 (5.841), Acc m&t: 3.16 4.97, Remain: 1 day, 1:01:07, Finish: 2024-11-25 16:50
[11-25 07:49:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:13:18 tlr: 8.2e-05 tnm: 0.44 Lm: 6.596 (6.596) Lt: 5.849 (5.849) Accm: 2.99 (2.99) Acct: 4.55 (4.55) proj_loss: -0.5898 (-0.5898) time: 0.4786 data: 0.0003
[11-25 07:49:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:13:30 tlr: 8.2e-05 tnm: 0.44 Lm: 6.685 (6.685) Lt: 5.918 (5.918) Accm: 2.82 (2.82) Acct: 4.44 (4.44) proj_loss: -0.5877 (-0.5877) time: 0.4855 data: 0.0005
[11-25 07:49:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:13:21 tlr: 8.2e-05 tnm: 0.44 Lm: 6.594 (6.594) Lt: 5.821 (5.821) Accm: 3.26 (3.26) Acct: 5.27 (5.27) proj_loss: -0.5879 (-0.5879) time: 0.4804 data: 0.0003
[11-25 07:49:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:13:25 tlr: 8.2e-05 tnm: 0.44 Lm: 6.220 (6.220) Lt: 5.421 (5.421) Accm: 4.38 (4.38) Acct: 6.75 (6.75) proj_loss: -0.6083 (-0.6083) time: 0.4824 data: 0.0004
[11-25 07:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:10:18 tlr: 8.2e-05 tnm: 0.46 Lm: 6.449 (6.449) Lt: 5.679 (5.679) Accm: 3.61 (3.61) Acct: 5.45 (5.45) proj_loss: -0.6112 (-0.6112) time: 0.4890 data: 0.0002
[11-25 07:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:10:18 tlr: 8.2e-05 tnm: 0.46 Lm: 6.552 (6.552) Lt: 5.834 (5.834) Accm: 3.26 (3.26) Acct: 4.92 (4.92) proj_loss: -0.6057 (-0.6057) time: 0.4890 data: 0.0003
[11-25 07:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:10:18 tlr: 8.2e-05 tnm: 0.46 Lm: 6.754 (6.754) Lt: 6.037 (6.037) Accm: 2.68 (2.68) Acct: 4.15 (4.15) proj_loss: -0.5911 (-0.5911) time: 0.4890 data: 0.0003
[11-25 07:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:10:18 tlr: 8.2e-05 tnm: 0.46 Lm: 6.639 (6.639) Lt: 5.927 (5.927) Accm: 3.19 (3.19) Acct: 5.02 (5.02) proj_loss: -0.5847 (-0.5847) time: 0.4890 data: 0.0003
[11-25 07:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:06:51 tlr: 8.2e-05 tnm: 0.47 Lm: 6.684 (6.682) Lt: 6.033 (5.983) Accm: 3.12 (2.95) Acct: 4.77 (4.71) proj_loss: -0.5879 (-0.5923) time: 0.4913 data: 0.0003
[11-25 07:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:06:51 tlr: 8.2e-05 tnm: 0.47 Lm: 6.556 (6.553) Lt: 5.849 (5.851) Accm: 3.37 (3.29) Acct: 5.20 (5.01) proj_loss: -0.6177 (-0.6097) time: 0.4913 data: 0.0003
[11-25 07:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:06:51 tlr: 8.2e-05 tnm: 0.47 Lm: 6.685 (6.674) Lt: 5.918 (5.945) Accm: 2.82 (3.01) Acct: 4.44 (4.71) proj_loss: -0.5915 (-0.5912) time: 0.4913 data: 0.0003
[11-25 07:56:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:06:51 tlr: 8.2e-05 tnm: 0.47 Lm: 6.529 (6.475) Lt: 5.768 (5.709) Accm: 3.26 (3.50) Acct: 5.29 (5.39) proj_loss: -0.6083 (-0.6072) time: 0.4913 data: 0.0003
[11-25 08:00:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:03:29 tlr: 8.1e-05 tnm: 0.45 Lm: 6.589 (6.519) Lt: 5.853 (5.769) Accm: 3.06 (3.33) Acct: 4.96 (5.20) proj_loss: -0.6088 (-0.6077) time: 0.4889 data: 0.0003
[11-25 08:00:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:03:29 tlr: 8.1e-05 tnm: 0.45 Lm: 6.576 (6.573) Lt: 5.867 (5.875) Accm: 3.27 (3.27) Acct: 5.04 (4.98) proj_loss: -0.6121 (-0.6089) time: 0.4889 data: 0.0003
[11-25 08:00:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:03:29 tlr: 8.1e-05 tnm: 0.45 Lm: 6.663 (6.666) Lt: 5.893 (5.926) Accm: 2.91 (3.01) Acct: 4.68 (4.76) proj_loss: -0.5896 (-0.5896) time: 0.4889 data: 0.0003
[11-25 08:00:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:03:29 tlr: 8.1e-05 tnm: 0.45 Lm: 6.639 (6.627) Lt: 5.927 (5.909) Accm: 3.19 (3.07) Acct: 5.02 (4.91) proj_loss: -0.5868 (-0.5907) time: 0.4889 data: 0.0003
[11-25 08:03:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.45 Lm: 6.650 (6.632) Lt: 5.897 (5.906) Accm: 3.26 (3.12) Acct: 5.27 (4.99) proj_loss: -0.5879 (-0.5925) time: 0.5438 data: 0.0016
[11-25 08:03:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:14:10 (0.510 s / it)
[11-25 08:03:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.45 Lm: 6.529 (6.516) Lt: 5.768 (5.751) Accm: 3.26 (3.35) Acct: 5.29 (5.27) proj_loss: -0.6083 (-0.6029) time: 0.5438 data: 0.0017
[11-25 08:03:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.45 Lm: 6.556 (6.552) Lt: 5.849 (5.836) Accm: 3.37 (3.32) Acct: 5.20 (5.15) proj_loss: -0.6066 (-0.6023) time: 0.5438 data: 0.0020
[11-25 08:03:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.45 Lm: 6.641 (6.656) Lt: 5.869 (5.914) Accm: 2.95 (3.00) Acct: 4.55 (4.72) proj_loss: -0.5915 (-0.5900) time: 0.5438 data: 0.0019
[11-25 08:03:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:14:10 (0.510 s / it)
[11-25 08:03:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:14:10 (0.510 s / it)
[11-25 08:03:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:14:10 (0.510 s / it)
[11-25 08:03:50] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.579 (6.579), Lt: 5.841 (5.842), Acc m&t: 3.20 5.02, Remain: 1 day, 0:49:25, Finish: 2024-11-25 16:53
[11-25 08:03:50] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.579 (6.579), Lt: 5.841 (5.842), Acc m&t: 3.20 5.02, Remain: 1 day, 0:50:21, Finish: 2024-11-25 16:54
[11-25 08:03:50] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.579 (6.579), Lt: 5.841 (5.842), Acc m&t: 3.20 5.02, Remain: 1 day, 0:50:26, Finish: 2024-11-25 16:54
[11-25 08:03:50] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.579 (6.579), Lt: 5.841 (5.842), Acc m&t: 3.20 5.02, Remain: 1 day, 0:50:29, Finish: 2024-11-25 16:54
[11-25 08:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:13:30 tlr: 8.1e-05 tnm: 0.44 Lm: 6.784 (6.784) Lt: 6.034 (6.034) Accm: 2.62 (2.62) Acct: 4.41 (4.41) proj_loss: -0.5886 (-0.5886) time: 0.4855 data: 0.0005
[11-25 08:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:13:30 tlr: 8.1e-05 tnm: 0.44 Lm: 6.558 (6.558) Lt: 5.781 (5.781) Accm: 3.30 (3.30) Acct: 5.04 (5.04) proj_loss: -0.5915 (-0.5915) time: 0.4859 data: 0.0004
[11-25 08:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:13:31 tlr: 8.1e-05 tnm: 0.44 Lm: 6.733 (6.733) Lt: 6.036 (6.036) Accm: 2.82 (2.82) Acct: 4.12 (4.12) proj_loss: -0.6133 (-0.6133) time: 0.4860 data: 0.0003
[11-25 08:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:13:30 tlr: 8.1e-05 tnm: 0.44 Lm: 6.501 (6.501) Lt: 5.807 (5.807) Accm: 3.15 (3.15) Acct: 4.91 (4.91) proj_loss: -0.5942 (-0.5942) time: 0.4856 data: 0.0004
[11-25 08:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:10:26 tlr: 8.1e-05 tnm: 0.46 Lm: 6.615 (6.615) Lt: 5.906 (5.906) Accm: 3.07 (3.07) Acct: 4.84 (4.84) proj_loss: -0.5970 (-0.5970) time: 0.4884 data: 0.0003
[11-25 08:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:10:26 tlr: 8.1e-05 tnm: 0.46 Lm: 6.606 (6.606) Lt: 5.839 (5.839) Accm: 3.08 (3.08) Acct: 4.67 (4.67) proj_loss: -0.5899 (-0.5899) time: 0.4884 data: 0.0003
[11-25 08:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:10:26 tlr: 8.1e-05 tnm: 0.46 Lm: 6.659 (6.659) Lt: 5.906 (5.906) Accm: 2.89 (2.89) Acct: 4.54 (4.54) proj_loss: -0.5857 (-0.5857) time: 0.4884 data: 0.0003
[11-25 08:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:10:26 tlr: 8.1e-05 tnm: 0.46 Lm: 6.716 (6.716) Lt: 6.012 (6.012) Accm: 2.75 (2.75) Acct: 4.15 (4.15) proj_loss: -0.5985 (-0.5985) time: 0.4884 data: 0.0003
[11-25 08:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:06:53 tlr: 8.1e-05 tnm: 0.45 Lm: 6.698 (6.665) Lt: 5.988 (5.946) Accm: 2.82 (2.88) Acct: 4.18 (4.40) proj_loss: -0.5837 (-0.5926) time: 0.4927 data: 0.0003
[11-25 08:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:06:53 tlr: 8.1e-05 tnm: 0.45 Lm: 6.657 (6.658) Lt: 5.899 (5.904) Accm: 2.79 (2.86) Acct: 4.48 (4.52) proj_loss: -0.5886 (-0.5895) time: 0.4927 data: 0.0002
[11-25 08:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:06:53 tlr: 8.1e-05 tnm: 0.45 Lm: 6.558 (6.528) Lt: 5.781 (5.778) Accm: 3.30 (3.24) Acct: 5.04 (4.97) proj_loss: -0.5915 (-0.5960) time: 0.4927 data: 0.0003
[11-25 08:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:06:53 tlr: 8.1e-05 tnm: 0.45 Lm: 6.642 (6.624) Lt: 5.882 (5.898) Accm: 2.99 (2.99) Acct: 4.77 (4.68) proj_loss: -0.5997 (-0.5996) time: 0.4927 data: 0.0003
[11-25 08:14:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:03:26 tlr: 8.1e-05 tnm: 0.46 Lm: 6.571 (6.592) Lt: 5.844 (5.855) Accm: 3.07 (3.11) Acct: 4.84 (4.88) proj_loss: -0.6023 (-0.6016) time: 0.4894 data: 0.0003
[11-25 08:14:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:03:26 tlr: 8.1e-05 tnm: 0.46 Lm: 6.595 (6.616) Lt: 5.839 (5.869) Accm: 2.98 (2.96) Acct: 4.57 (4.64) proj_loss: -0.5928 (-0.5918) time: 0.4894 data: 0.0003
[11-25 08:14:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:03:26 tlr: 8.1e-05 tnm: 0.46 Lm: 6.587 (6.550) Lt: 5.818 (5.798) Accm: 3.11 (3.16) Acct: 4.96 (4.95) proj_loss: -0.5990 (-0.5987) time: 0.4894 data: 0.0003
[11-25 08:14:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:03:26 tlr: 8.1e-05 tnm: 0.46 Lm: 6.630 (6.625) Lt: 5.902 (5.899) Accm: 2.98 (3.06) Acct: 4.54 (4.71) proj_loss: -0.5866 (-0.5918) time: 0.4893 data: 0.0003
[11-25 08:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.47 Lm: 6.690 (6.638) Lt: 5.926 (5.905) Accm: 2.82 (2.99) Acct: 4.29 (4.62) proj_loss: -0.5894 (-0.5917) time: 0.4891 data: 0.0022
[11-25 08:17:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:13:46 (0.495 s / it)
[11-25 08:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.47 Lm: 6.501 (6.572) Lt: 5.807 (5.835) Accm: 3.15 (3.20) Acct: 4.91 (5.03) proj_loss: -0.6049 (-0.6023) time: 0.4891 data: 0.0017
[11-25 08:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.47 Lm: 6.657 (6.628) Lt: 5.899 (5.879) Accm: 3.07 (2.99) Acct: 4.67 (4.68) proj_loss: -0.5971 (-0.5944) time: 0.4891 data: 0.0013
[11-25 08:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.47 Lm: 6.561 (6.552) Lt: 5.793 (5.797) Accm: 3.18 (3.16) Acct: 4.87 (4.92) proj_loss: -0.5992 (-0.5988) time: 0.4891 data: 0.0016
[11-25 08:17:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:13:46 (0.495 s / it)
[11-25 08:17:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:13:46 (0.495 s / it)
[11-25 08:17:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:13:46 (0.495 s / it)
[11-25 08:17:36] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.579 (6.605), Lt: 5.841 (5.868), Acc m&t: 3.20 5.02, Remain: 1 day, 0:32:05, Finish: 2024-11-25 16:49
[11-25 08:17:36] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.579 (6.605), Lt: 5.841 (5.868), Acc m&t: 3.20 5.02, Remain: 1 day, 0:32:25, Finish: 2024-11-25 16:50
[11-25 08:17:36] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.579 (6.605), Lt: 5.841 (5.868), Acc m&t: 3.20 5.02, Remain: 1 day, 0:32:13, Finish: 2024-11-25 16:49
[11-25 08:17:36] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.579 (6.605), Lt: 5.841 (5.868), Acc m&t: 3.20 5.02, Remain: 1 day, 0:32:12, Finish: 2024-11-25 16:49
[11-25 08:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:12:50 tlr: 8e-05 tnm: 0.44 Lm: 6.548 (6.548) Lt: 5.783 (5.783) Accm: 3.13 (3.13) Acct: 4.73 (4.73) proj_loss: -0.5833 (-0.5833) time: 0.4618 data: 0.0004
[11-25 08:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:12:51 tlr: 8e-05 tnm: 0.44 Lm: 6.336 (6.336) Lt: 5.571 (5.571) Accm: 3.86 (3.86) Acct: 6.16 (6.16) proj_loss: -0.6212 (-0.6212) time: 0.4624 data: 0.0004
[11-25 08:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:12:51 tlr: 8e-05 tnm: 0.44 Lm: 6.513 (6.513) Lt: 5.746 (5.746) Accm: 3.43 (3.43) Acct: 5.22 (5.22) proj_loss: -0.6127 (-0.6127) time: 0.4623 data: 0.0004
[11-25 08:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:12:52 tlr: 8e-05 tnm: 0.44 Lm: 6.581 (6.581) Lt: 5.768 (5.768) Accm: 3.15 (3.15) Acct: 5.18 (5.18) proj_loss: -0.6080 (-0.6080) time: 0.4626 data: 0.0004
[11-25 08:21:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:10:55 tlr: 8e-05 tnm: 0.46 Lm: 6.478 (6.478) Lt: 5.667 (5.667) Accm: 3.65 (3.65) Acct: 5.85 (5.85) proj_loss: -0.5913 (-0.5913) time: 0.5984 data: 0.0003
[11-25 08:21:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:10:55 tlr: 8e-05 tnm: 0.46 Lm: 6.601 (6.601) Lt: 5.863 (5.863) Accm: 3.13 (3.13) Acct: 4.92 (4.92) proj_loss: -0.5919 (-0.5919) time: 0.5983 data: 0.0003
[11-25 08:21:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:10:55 tlr: 8e-05 tnm: 0.46 Lm: 6.593 (6.593) Lt: 5.866 (5.866) Accm: 3.17 (3.17) Acct: 4.98 (4.98) proj_loss: -0.6015 (-0.6015) time: 0.5983 data: 0.0003
[11-25 08:21:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:10:55 tlr: 8e-05 tnm: 0.46 Lm: 6.474 (6.474) Lt: 5.711 (5.711) Accm: 3.60 (3.60) Acct: 5.55 (5.55) proj_loss: -0.6138 (-0.6138) time: 0.5984 data: 0.0003
[11-25 08:24:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:07:18 tlr: 8e-05 tnm: 0.47 Lm: 6.596 (6.515) Lt: 5.829 (5.750) Accm: 3.34 (3.46) Acct: 4.94 (5.29) proj_loss: -0.6065 (-0.6013) time: 0.4939 data: 0.0003
[11-25 08:24:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:07:18 tlr: 8e-05 tnm: 0.47 Lm: 6.660 (6.616) Lt: 5.908 (5.880) Accm: 2.94 (3.09) Acct: 4.73 (4.89) proj_loss: -0.6069 (-0.6033) time: 0.4939 data: 0.0003
[11-25 08:24:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:07:18 tlr: 8e-05 tnm: 0.47 Lm: 6.565 (6.507) Lt: 5.768 (5.720) Accm: 3.15 (3.46) Acct: 5.18 (5.55) proj_loss: -0.5917 (-0.5914) time: 0.4939 data: 0.0003
[11-25 08:24:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:07:18 tlr: 8e-05 tnm: 0.47 Lm: 6.548 (6.580) Lt: 5.783 (5.836) Accm: 3.13 (3.24) Acct: 5.10 (5.06) proj_loss: -0.5856 (-0.5898) time: 0.4939 data: 0.0003
[11-25 08:28:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:03:36 tlr: 8e-05 tnm: 0.45 Lm: 6.590 (6.593) Lt: 5.815 (5.838) Accm: 3.19 (3.24) Acct: 5.04 (5.04) proj_loss: -0.5930 (-0.5942) time: 0.4928 data: 0.0003
[11-25 08:28:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:03:36 tlr: 8e-05 tnm: 0.45 Lm: 6.648 (6.621) Lt: 5.937 (5.902) Accm: 2.92 (3.02) Acct: 4.73 (4.79) proj_loss: -0.5986 (-0.5994) time: 0.4928 data: 0.0003
[11-25 08:28:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:03:36 tlr: 8e-05 tnm: 0.45 Lm: 6.573 (6.526) Lt: 5.791 (5.743) Accm: 3.22 (3.42) Acct: 5.27 (5.50) proj_loss: -0.5854 (-0.5883) time: 0.4928 data: 0.0003
[11-25 08:28:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:03:36 tlr: 8e-05 tnm: 0.45 Lm: 6.604 (6.553) Lt: 5.839 (5.805) Accm: 3.26 (3.32) Acct: 4.86 (5.07) proj_loss: -0.6021 (-0.6004) time: 0.4928 data: 0.0003
[11-25 08:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.45 Lm: 6.596 (6.548) Lt: 5.831 (5.810) Accm: 3.18 (3.29) Acct: 4.77 (4.92) proj_loss: -0.5977 (-0.5987) time: 0.4946 data: 0.0018
[11-25 08:31:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:14:11 (0.510 s / it)
[11-25 08:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.45 Lm: 6.660 (6.649) Lt: 5.965 (5.927) Accm: 2.94 (3.01) Acct: 4.73 (4.81) proj_loss: -0.6026 (-0.6000) time: 0.4946 data: 0.0021
[11-25 08:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.45 Lm: 6.565 (6.534) Lt: 5.813 (5.766) Accm: 3.22 (3.38) Acct: 5.18 (5.40) proj_loss: -0.5917 (-0.5929) time: 0.4946 data: 0.0021
[11-25 08:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.45 Lm: 6.564 (6.587) Lt: 5.806 (5.832) Accm: 3.21 (3.24) Acct: 4.98 (4.97) proj_loss: -0.5856 (-0.5889) time: 0.4946 data: 0.0014
[11-25 08:31:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:14:11 (0.510 s / it)
[11-25 08:31:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:14:11 (0.510 s / it)
[11-25 08:31:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:14:11 (0.510 s / it)
[11-25 08:31:48] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.579 (6.584), Lt: 5.840 (5.840), Acc m&t: 3.20 5.02, Remain: 1 day, 0:29:02, Finish: 2024-11-25 17:00
[11-25 08:31:48] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.579 (6.584), Lt: 5.840 (5.840), Acc m&t: 3.20 5.02, Remain: 1 day, 0:28:34, Finish: 2024-11-25 17:00
[11-25 08:31:48] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.579 (6.584), Lt: 5.840 (5.840), Acc m&t: 3.20 5.02, Remain: 1 day, 0:29:18, Finish: 2024-11-25 17:01
[11-25 08:31:48] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.579 (6.584), Lt: 5.840 (5.840), Acc m&t: 3.20 5.02, Remain: 1 day, 0:29:08, Finish: 2024-11-25 17:00
[11-25 08:31:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:13:52 tlr: 8e-05 tnm: 0.45 Lm: 6.625 (6.625) Lt: 5.859 (5.859) Accm: 2.97 (2.97) Acct: 4.80 (4.80) proj_loss: -0.5832 (-0.5832) time: 0.4990 data: 0.0004
[11-25 08:31:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:13:52 tlr: 8e-05 tnm: 0.45 Lm: 6.595 (6.595) Lt: 5.839 (5.839) Accm: 2.97 (2.97) Acct: 4.61 (4.61) proj_loss: -0.5981 (-0.5981) time: 0.4988 data: 0.0004
[11-25 08:31:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:13:53 tlr: 8e-05 tnm: 0.45 Lm: 6.706 (6.706) Lt: 5.977 (5.977) Accm: 2.63 (2.63) Acct: 4.20 (4.20) proj_loss: -0.5855 (-0.5855) time: 0.4992 data: 0.0004
[11-25 08:31:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:13:52 tlr: 8e-05 tnm: 0.45 Lm: 6.583 (6.583) Lt: 5.833 (5.833) Accm: 3.12 (3.12) Acct: 4.84 (4.84) proj_loss: -0.5738 (-0.5738) time: 0.4985 data: 0.0005
[11-25 08:35:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:10:18 tlr: 8e-05 tnm: 0.43 Lm: 6.574 (6.574) Lt: 5.834 (5.834) Accm: 3.18 (3.18) Acct: 5.06 (5.06) proj_loss: -0.5950 (-0.5950) time: 0.4894 data: 0.0003
[11-25 08:35:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:10:18 tlr: 8e-05 tnm: 0.43 Lm: 6.671 (6.671) Lt: 5.944 (5.944) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: -0.5915 (-0.5915) time: 0.4894 data: 0.0003
[11-25 08:35:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:10:18 tlr: 8e-05 tnm: 0.43 Lm: 6.638 (6.638) Lt: 5.890 (5.890) Accm: 2.99 (2.99) Acct: 4.79 (4.79) proj_loss: -0.5940 (-0.5940) time: 0.4894 data: 0.0003
[11-25 08:35:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:10:18 tlr: 8e-05 tnm: 0.43 Lm: 6.717 (6.717) Lt: 5.976 (5.976) Accm: 2.62 (2.62) Acct: 4.18 (4.18) proj_loss: -0.5831 (-0.5831) time: 0.4894 data: 0.0003
[11-25 08:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:06:57 tlr: 7.9e-05 tnm: 0.44 Lm: 6.712 (6.715) Lt: 5.977 (6.000) Accm: 2.63 (2.68) Acct: 4.20 (4.19) proj_loss: -0.5855 (-0.5945) time: 0.5395 data: 0.0003
[11-25 08:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:06:57 tlr: 7.9e-05 tnm: 0.44 Lm: 6.625 (6.618) Lt: 5.867 (5.882) Accm: 3.00 (3.09) Acct: 4.80 (4.96) proj_loss: -0.6048 (-0.6008) time: 0.5395 data: 0.0003
[11-25 08:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:06:57 tlr: 7.9e-05 tnm: 0.44 Lm: 6.583 (6.656) Lt: 5.836 (5.925) Accm: 3.12 (2.97) Acct: 4.84 (4.69) proj_loss: -0.5738 (-0.5879) time: 0.5395 data: 0.0003
[11-25 08:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:06:57 tlr: 7.9e-05 tnm: 0.44 Lm: 6.670 (6.671) Lt: 5.997 (5.961) Accm: 2.80 (2.85) Acct: 4.49 (4.52) proj_loss: -0.5850 (-0.5888) time: 0.5395 data: 0.0003
[11-25 08:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:03:33 tlr: 7.9e-05 tnm: 0.46 Lm: 6.634 (6.653) Lt: 5.937 (5.940) Accm: 2.89 (2.89) Acct: 4.48 (4.50) proj_loss: -0.5841 (-0.5867) time: 0.5954 data: 0.0004
[11-25 08:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:03:33 tlr: 7.9e-05 tnm: 0.46 Lm: 6.709 (6.664) Lt: 5.976 (5.943) Accm: 2.72 (2.95) Acct: 4.21 (4.62) proj_loss: -0.5849 (-0.5919) time: 0.5954 data: 0.0003
[11-25 08:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:03:33 tlr: 7.9e-05 tnm: 0.46 Lm: 6.638 (6.630) Lt: 5.871 (5.880) Accm: 3.01 (3.07) Acct: 4.86 (4.95) proj_loss: -0.5949 (-0.5969) time: 0.5954 data: 0.0003
[11-25 08:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:03:33 tlr: 7.9e-05 tnm: 0.46 Lm: 6.574 (6.617) Lt: 5.834 (5.880) Accm: 3.18 (3.07) Acct: 5.06 (4.86) proj_loss: -0.5841 (-0.5895) time: 0.5954 data: 0.0003
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.47 Lm: 6.583 (6.618) Lt: 5.836 (5.880) Accm: 3.12 (3.01) Acct: 4.84 (4.71) proj_loss: -0.5872 (-0.5890) time: 0.5480 data: 0.0014
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:14:15 (0.512 s / it)
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.47 Lm: 6.706 (6.655) Lt: 5.975 (5.925) Accm: 2.81 (2.99) Acct: 4.22 (4.69) proj_loss: -0.5855 (-0.5937) time: 0.5480 data: 0.0017
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.47 Lm: 6.625 (6.628) Lt: 5.867 (5.868) Accm: 3.02 (3.07) Acct: 4.92 (4.96) proj_loss: -0.5850 (-0.5944) time: 0.5480 data: 0.0018
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.47 Lm: 6.597 (6.640) Lt: 5.876 (5.921) Accm: 2.97 (3.04) Acct: 4.49 (4.72) proj_loss: -0.5850 (-0.5896) time: 0.5480 data: 0.0016
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:14:15 (0.512 s / it)
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:14:15 (0.512 s / it)
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:14:15 (0.512 s / it)
[11-25 08:46:04] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.579 (6.599), Lt: 5.840 (5.859), Acc m&t: 3.20 5.02, Remain: 1 day, 0:15:20, Finish: 2024-11-25 17:01
[11-25 08:46:04] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.579 (6.599), Lt: 5.840 (5.859), Acc m&t: 3.20 5.02, Remain: 1 day, 0:14:31, Finish: 2024-11-25 17:00
[11-25 08:46:04] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.579 (6.599), Lt: 5.840 (5.859), Acc m&t: 3.20 5.02, Remain: 1 day, 0:14:36, Finish: 2024-11-25 17:00
[11-25 08:46:04] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.579 (6.599), Lt: 5.840 (5.859), Acc m&t: 3.20 5.02, Remain: 1 day, 0:15:01, Finish: 2024-11-25 17:01
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:12:52 tlr: 7.9e-05 tnm: 0.46 Lm: 6.497 (6.497) Lt: 5.728 (5.728) Accm: 3.35 (3.35) Acct: 5.29 (5.29) proj_loss: -0.5907 (-0.5907) time: 0.4627 data: 0.0003
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:12:55 tlr: 7.9e-05 tnm: 0.46 Lm: 6.645 (6.645) Lt: 5.897 (5.897) Accm: 2.91 (2.91) Acct: 4.75 (4.75) proj_loss: -0.5880 (-0.5880) time: 0.4648 data: 0.0003
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:12:50 tlr: 7.9e-05 tnm: 0.46 Lm: 6.644 (6.644) Lt: 5.925 (5.925) Accm: 3.01 (3.01) Acct: 4.77 (4.77) proj_loss: -0.6132 (-0.6132) time: 0.4614 data: 0.0003
[11-25 08:46:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:12:54 tlr: 7.9e-05 tnm: 0.46 Lm: 6.778 (6.778) Lt: 6.088 (6.088) Accm: 2.57 (2.57) Acct: 4.08 (4.08) proj_loss: -0.6008 (-0.6008) time: 0.4643 data: 0.0004
[11-25 08:49:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:10:18 tlr: 7.9e-05 tnm: 0.45 Lm: 6.652 (6.652) Lt: 5.936 (5.936) Accm: 2.87 (2.87) Acct: 4.40 (4.40) proj_loss: -0.5969 (-0.5969) time: 0.4876 data: 0.0003
[11-25 08:49:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:10:18 tlr: 7.9e-05 tnm: 0.45 Lm: 6.577 (6.577) Lt: 5.842 (5.842) Accm: 3.10 (3.10) Acct: 5.08 (5.08) proj_loss: -0.5992 (-0.5992) time: 0.4876 data: 0.0003
[11-25 08:49:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:10:18 tlr: 7.9e-05 tnm: 0.45 Lm: 6.521 (6.521) Lt: 5.766 (5.766) Accm: 3.30 (3.30) Acct: 5.16 (5.16) proj_loss: -0.5837 (-0.5837) time: 0.4876 data: 0.0003
[11-25 08:49:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:10:18 tlr: 7.9e-05 tnm: 0.45 Lm: 6.608 (6.608) Lt: 5.898 (5.898) Accm: 2.96 (2.96) Acct: 4.71 (4.71) proj_loss: -0.6080 (-0.6080) time: 0.4876 data: 0.0003
[11-25 08:52:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:06:50 tlr: 7.9e-05 tnm: 0.46 Lm: 6.571 (6.589) Lt: 5.871 (5.855) Accm: 3.01 (3.10) Acct: 4.77 (4.92) proj_loss: -0.6027 (-0.5995) time: 0.4881 data: 0.0003
[11-25 08:52:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:06:50 tlr: 7.9e-05 tnm: 0.46 Lm: 6.509 (6.534) Lt: 5.787 (5.775) Accm: 3.28 (3.36) Acct: 5.41 (5.40) proj_loss: -0.5944 (-0.5976) time: 0.4881 data: 0.0003
[11-25 08:52:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:06:50 tlr: 7.9e-05 tnm: 0.46 Lm: 6.650 (6.651) Lt: 5.929 (5.934) Accm: 3.02 (2.92) Acct: 4.55 (4.45) proj_loss: -0.5993 (-0.5977) time: 0.4881 data: 0.0003
[11-25 08:52:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:06:50 tlr: 7.9e-05 tnm: 0.46 Lm: 6.497 (6.511) Lt: 5.804 (5.797) Accm: 3.35 (3.32) Acct: 5.03 (5.03) proj_loss: -0.5907 (-0.5895) time: 0.4881 data: 0.0003
[11-25 08:56:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:03:25 tlr: 7.8e-05 tnm: 0.46 Lm: 6.521 (6.547) Lt: 5.831 (5.855) Accm: 3.30 (3.26) Acct: 4.91 (4.92) proj_loss: -0.5959 (-0.5958) time: 0.4923 data: 0.0003
[11-25 08:56:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:03:25 tlr: 7.8e-05 tnm: 0.46 Lm: 6.511 (6.529) Lt: 5.761 (5.765) Accm: 3.37 (3.39) Acct: 5.45 (5.42) proj_loss: -0.5935 (-0.5964) time: 0.4923 data: 0.0003
[11-25 08:56:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:03:25 tlr: 7.8e-05 tnm: 0.46 Lm: 6.561 (6.549) Lt: 5.820 (5.810) Accm: 3.19 (3.31) Acct: 5.06 (5.23) proj_loss: -0.6080 (-0.6042) time: 0.4923 data: 0.0003
[11-25 08:56:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:03:25 tlr: 7.8e-05 tnm: 0.46 Lm: 6.588 (6.617) Lt: 5.856 (5.883) Accm: 3.06 (2.97) Acct: 4.63 (4.57) proj_loss: -0.5961 (-0.5929) time: 0.4923 data: 0.0003
[11-25 08:59:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.44 Lm: 6.650 (6.628) Lt: 5.929 (5.893) Accm: 3.02 (2.93) Acct: 4.55 (4.53) proj_loss: -0.5930 (-0.5897) time: 0.5428 data: 0.0020
[11-25 08:59:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:13:49 (0.497 s / it)
[11-25 08:59:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.44 Lm: 6.500 (6.538) Lt: 5.804 (5.835) Accm: 3.35 (3.38) Acct: 5.03 (5.15) proj_loss: -0.6011 (-0.5974) time: 0.5428 data: 0.0013
[11-25 08:59:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.44 Lm: 6.513 (6.552) Lt: 5.787 (5.787) Accm: 3.30 (3.37) Acct: 5.41 (5.40) proj_loss: -0.5927 (-0.5917) time: 0.5427 data: 0.0017
[11-25 08:59:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.44 Lm: 6.571 (6.571) Lt: 5.871 (5.841) Accm: 3.01 (3.18) Acct: 4.77 (4.99) proj_loss: -0.6027 (-0.6022) time: 0.5428 data: 0.0016
[11-25 08:59:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:13:49 (0.497 s / it)
[11-25 08:59:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:13:49 (0.497 s / it)
[11-25 08:59:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:13:49 (0.497 s / it)
[11-25 08:59:53] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.579 (6.598), Lt: 5.840 (5.862), Acc m&t: 3.20 5.02, Remain: 1 day, 0:00:01, Finish: 2024-11-25 16:59
[11-25 08:59:53] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.579 (6.598), Lt: 5.840 (5.862), Acc m&t: 3.20 5.02, Remain: 1 day, 0:00:06, Finish: 2024-11-25 17:00
[11-25 08:59:53] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.579 (6.598), Lt: 5.840 (5.862), Acc m&t: 3.20 5.02, Remain: 23:59:47, Finish: 2024-11-25 16:59
[11-25 08:59:53] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.579 (6.598), Lt: 5.840 (5.862), Acc m&t: 3.20 5.02, Remain: 1 day, 0:00:20, Finish: 2024-11-25 17:00
[11-25 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:12:52 tlr: 7.8e-05 tnm: 0.44 Lm: 6.675 (6.675) Lt: 5.922 (5.922) Accm: 2.84 (2.84) Acct: 4.29 (4.29) proj_loss: -0.5868 (-0.5868) time: 0.4628 data: 0.0004
[11-25 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:12:53 tlr: 7.8e-05 tnm: 0.44 Lm: 6.628 (6.628) Lt: 5.938 (5.938) Accm: 2.99 (2.99) Acct: 4.65 (4.65) proj_loss: -0.6229 (-0.6229) time: 0.4637 data: 0.0003
[11-25 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:12:53 tlr: 7.8e-05 tnm: 0.44 Lm: 6.630 (6.630) Lt: 5.912 (5.912) Accm: 2.94 (2.94) Acct: 4.58 (4.58) proj_loss: -0.6094 (-0.6094) time: 0.4637 data: 0.0003
[11-25 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:12:53 tlr: 7.8e-05 tnm: 0.44 Lm: 6.448 (6.448) Lt: 5.692 (5.692) Accm: 3.71 (3.71) Acct: 6.01 (6.01) proj_loss: -0.6226 (-0.6226) time: 0.4637 data: 0.0003
[11-25 09:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:10:56 tlr: 7.8e-05 tnm: 0.45 Lm: 6.616 (6.616) Lt: 5.857 (5.857) Accm: 3.11 (3.11) Acct: 5.08 (5.08) proj_loss: -0.5971 (-0.5971) time: 0.5377 data: 0.0003
[11-25 09:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:10:56 tlr: 7.8e-05 tnm: 0.45 Lm: 6.619 (6.619) Lt: 5.862 (5.862) Accm: 3.03 (3.03) Acct: 4.71 (4.71) proj_loss: -0.5944 (-0.5944) time: 0.5377 data: 0.0003
[11-25 09:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:10:56 tlr: 7.8e-05 tnm: 0.45 Lm: 6.621 (6.621) Lt: 5.874 (5.874) Accm: 3.02 (3.02) Acct: 4.69 (4.69) proj_loss: -0.5841 (-0.5841) time: 0.5377 data: 0.0003
[11-25 09:03:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:10:56 tlr: 7.8e-05 tnm: 0.45 Lm: 6.562 (6.562) Lt: 5.842 (5.842) Accm: 3.18 (3.18) Acct: 5.05 (5.05) proj_loss: -0.6139 (-0.6139) time: 0.5377 data: 0.0003
[11-25 09:07:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:07:17 tlr: 7.8e-05 tnm: 0.44 Lm: 6.496 (6.502) Lt: 5.746 (5.750) Accm: 3.38 (3.38) Acct: 5.46 (5.36) proj_loss: -0.6049 (-0.6083) time: 0.5440 data: 0.0003
[11-25 09:07:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:07:17 tlr: 7.8e-05 tnm: 0.44 Lm: 6.609 (6.549) Lt: 5.811 (5.798) Accm: 3.12 (3.19) Acct: 4.84 (4.99) proj_loss: -0.5933 (-0.5940) time: 0.5440 data: 0.0003
[11-25 09:07:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:07:17 tlr: 7.8e-05 tnm: 0.44 Lm: 6.567 (6.592) Lt: 5.826 (5.832) Accm: 3.20 (3.13) Acct: 5.10 (4.98) proj_loss: -0.5868 (-0.5880) time: 0.5440 data: 0.0003
[11-25 09:07:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:07:17 tlr: 7.8e-05 tnm: 0.44 Lm: 6.645 (6.625) Lt: 5.885 (5.867) Accm: 3.09 (3.10) Acct: 4.98 (5.04) proj_loss: -0.5825 (-0.5922) time: 0.5440 data: 0.0003
[11-25 09:10:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:03:34 tlr: 7.8e-05 tnm: 0.46 Lm: 6.561 (6.588) Lt: 5.789 (5.822) Accm: 3.21 (3.16) Acct: 5.01 (5.04) proj_loss: -0.5936 (-0.5953) time: 0.4894 data: 0.0003
[11-25 09:10:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:03:34 tlr: 7.8e-05 tnm: 0.46 Lm: 6.592 (6.556) Lt: 5.813 (5.802) Accm: 3.18 (3.21) Acct: 5.07 (5.07) proj_loss: -0.5964 (-0.5954) time: 0.4894 data: 0.0003
[11-25 09:10:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:03:34 tlr: 7.8e-05 tnm: 0.46 Lm: 6.562 (6.562) Lt: 5.842 (5.812) Accm: 3.18 (3.25) Acct: 5.05 (5.17) proj_loss: -0.6010 (-0.6042) time: 0.4894 data: 0.0003
[11-25 09:10:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:03:34 tlr: 7.8e-05 tnm: 0.46 Lm: 6.550 (6.532) Lt: 5.788 (5.765) Accm: 3.28 (3.29) Acct: 5.33 (5.27) proj_loss: -0.5841 (-0.5848) time: 0.4894 data: 0.0003
[11-25 09:13:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.45 Lm: 6.534 (6.523) Lt: 5.749 (5.746) Accm: 3.20 (3.25) Acct: 5.10 (5.23) proj_loss: -0.5868 (-0.5879) time: 0.4937 data: 0.0015
[11-25 09:13:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:14:05 (0.507 s / it)
[11-25 09:13:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.45 Lm: 6.476 (6.555) Lt: 5.692 (5.783) Accm: 3.33 (3.29) Acct: 5.04 (5.24) proj_loss: -0.6006 (-0.5964) time: 0.4937 data: 0.0019
[11-25 09:13:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.45 Lm: 6.609 (6.600) Lt: 5.815 (5.846) Accm: 3.12 (3.06) Acct: 4.84 (4.83) proj_loss: -0.5933 (-0.5933) time: 0.4937 data: 0.0017
[11-25 09:13:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.45 Lm: 6.579 (6.565) Lt: 5.844 (5.819) Accm: 3.12 (3.22) Acct: 5.29 (5.19) proj_loss: -0.5972 (-0.5997) time: 0.4937 data: 0.0016
[11-25 09:13:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:14:05 (0.507 s / it)
[11-25 09:13:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:14:05 (0.507 s / it)
[11-25 09:13:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:14:05 (0.507 s / it)
[11-25 09:13:59] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.579 (6.587), Lt: 5.840 (5.845), Acc m&t: 3.20 5.02, Remain: 23:45:58, Finish: 2024-11-25 16:59
[11-25 09:13:59] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.579 (6.587), Lt: 5.840 (5.845), Acc m&t: 3.20 5.02, Remain: 23:45:59, Finish: 2024-11-25 16:59
[11-25 09:13:59] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.579 (6.587), Lt: 5.840 (5.845), Acc m&t: 3.20 5.02, Remain: 23:46:24, Finish: 2024-11-25 17:00
[11-25 09:13:59] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.579 (6.587), Lt: 5.840 (5.845), Acc m&t: 3.20 5.02, Remain: 23:46:40, Finish: 2024-11-25 17:00
[11-25 09:14:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:13:03 tlr: 7.8e-05 tnm: 0.46 Lm: 6.637 (6.637) Lt: 5.872 (5.872) Accm: 2.93 (2.93) Acct: 4.44 (4.44) proj_loss: -0.5811 (-0.5811) time: 0.4697 data: 0.0003
[11-25 09:14:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:13:04 tlr: 7.8e-05 tnm: 0.46 Lm: 6.621 (6.621) Lt: 5.878 (5.878) Accm: 2.96 (2.96) Acct: 4.58 (4.58) proj_loss: -0.5961 (-0.5961) time: 0.4701 data: 0.0004
[11-25 09:14:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:13:04 tlr: 7.8e-05 tnm: 0.46 Lm: 6.579 (6.579) Lt: 5.799 (5.799) Accm: 3.06 (3.06) Acct: 5.01 (5.01) proj_loss: -0.6115 (-0.6115) time: 0.4701 data: 0.0004
[11-25 09:14:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:13:04 tlr: 7.8e-05 tnm: 0.46 Lm: 6.491 (6.491) Lt: 5.752 (5.752) Accm: 3.39 (3.39) Acct: 4.99 (4.99) proj_loss: -0.5877 (-0.5877) time: 0.4701 data: 0.0004
[11-25 09:17:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:10:21 tlr: 7.7e-05 tnm: 0.46 Lm: 6.542 (6.542) Lt: 5.793 (5.793) Accm: 3.30 (3.30) Acct: 5.00 (5.00) proj_loss: -0.5875 (-0.5875) time: 0.4884 data: 0.0003
[11-25 09:17:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:10:21 tlr: 7.7e-05 tnm: 0.46 Lm: 6.528 (6.528) Lt: 5.718 (5.718) Accm: 3.28 (3.28) Acct: 5.35 (5.35) proj_loss: -0.6121 (-0.6121) time: 0.4884 data: 0.0003
[11-25 09:17:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:10:21 tlr: 7.7e-05 tnm: 0.46 Lm: 6.588 (6.588) Lt: 5.845 (5.845) Accm: 3.10 (3.10) Acct: 4.80 (4.80) proj_loss: -0.6008 (-0.6008) time: 0.4884 data: 0.0003
[11-25 09:17:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:10:21 tlr: 7.7e-05 tnm: 0.46 Lm: 6.584 (6.584) Lt: 5.845 (5.845) Accm: 3.06 (3.06) Acct: 4.84 (4.84) proj_loss: -0.5963 (-0.5963) time: 0.4884 data: 0.0003
[11-25 09:21:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:07:03 tlr: 7.7e-05 tnm: 0.48 Lm: 6.593 (6.587) Lt: 5.860 (5.850) Accm: 3.08 (3.07) Acct: 4.80 (4.83) proj_loss: -0.5966 (-0.5967) time: 0.5401 data: 0.0003
[11-25 09:21:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:07:03 tlr: 7.7e-05 tnm: 0.48 Lm: 6.549 (6.535) Lt: 5.799 (5.764) Accm: 3.26 (3.28) Acct: 5.20 (5.30) proj_loss: -0.6115 (-0.6068) time: 0.5401 data: 0.0003
[11-25 09:21:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:07:03 tlr: 7.7e-05 tnm: 0.48 Lm: 6.540 (6.541) Lt: 5.819 (5.808) Accm: 3.27 (3.33) Acct: 5.15 (5.11) proj_loss: -0.6113 (-0.6043) time: 0.5401 data: 0.0003
[11-25 09:21:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:07:03 tlr: 7.7e-05 tnm: 0.48 Lm: 6.491 (6.518) Lt: 5.752 (5.765) Accm: 3.33 (3.31) Acct: 5.01 (5.07) proj_loss: -0.5877 (-0.5930) time: 0.5401 data: 0.0003
[11-25 09:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:03:35 tlr: 7.7e-05 tnm: 0.48 Lm: 6.480 (6.503) Lt: 5.775 (5.773) Accm: 3.36 (3.37) Acct: 5.11 (5.15) proj_loss: -0.5958 (-0.5957) time: 0.5390 data: 0.0003
[11-25 09:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:03:35 tlr: 7.7e-05 tnm: 0.48 Lm: 6.577 (6.580) Lt: 5.854 (5.850) Accm: 3.04 (3.05) Acct: 4.79 (4.81) proj_loss: -0.5963 (-0.5952) time: 0.5390 data: 0.0002
[11-25 09:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:03:35 tlr: 7.7e-05 tnm: 0.48 Lm: 6.561 (6.545) Lt: 5.807 (5.777) Accm: 3.34 (3.31) Acct: 5.35 (5.35) proj_loss: -0.6077 (-0.6061) time: 0.5390 data: 0.0003
[11-25 09:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:03:35 tlr: 7.7e-05 tnm: 0.48 Lm: 6.588 (6.572) Lt: 5.845 (5.840) Accm: 3.10 (3.19) Acct: 4.86 (4.98) proj_loss: -0.6114 (-0.6061) time: 0.5390 data: 0.0003
[11-25 09:28:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.47 Lm: 6.637 (6.586) Lt: 5.872 (5.864) Accm: 3.27 (3.20) Acct: 4.89 (4.96) proj_loss: -0.6113 (-0.6012) time: 0.5399 data: 0.0014
[11-25 09:28:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:14:17 (0.514 s / it)
[11-25 09:28:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.47 Lm: 6.491 (6.539) Lt: 5.799 (5.810) Accm: 3.33 (3.26) Acct: 5.01 (5.03) proj_loss: -0.5896 (-0.5945) time: 0.5399 data: 0.0018
[11-25 09:28:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.47 Lm: 6.549 (6.540) Lt: 5.799 (5.769) Accm: 3.39 (3.33) Acct: 5.49 (5.40) proj_loss: -0.6038 (-0.6025) time: 0.5399 data: 0.0020
[11-25 09:28:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.47 Lm: 6.593 (6.621) Lt: 5.860 (5.888) Accm: 3.01 (2.94) Acct: 4.77 (4.69) proj_loss: -0.5961 (-0.5932) time: 0.5399 data: 0.0016
[11-25 09:28:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:14:17 (0.514 s / it)
[11-25 09:28:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:14:17 (0.514 s / it)
[11-25 09:28:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:14:17 (0.514 s / it)
[11-25 09:28:16] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.579 (6.593), Lt: 5.840 (5.854), Acc m&t: 3.20 5.02, Remain: 23:20:43, Finish: 2024-11-25 16:48
[11-25 09:28:16] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.579 (6.593), Lt: 5.840 (5.854), Acc m&t: 3.20 5.02, Remain: 23:21:21, Finish: 2024-11-25 16:49
[11-25 09:28:16] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.579 (6.593), Lt: 5.840 (5.854), Acc m&t: 3.20 5.02, Remain: 23:20:56, Finish: 2024-11-25 16:49
[11-25 09:28:16] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.579 (6.593), Lt: 5.840 (5.854), Acc m&t: 3.20 5.02, Remain: 23:21:33, Finish: 2024-11-25 16:49
[11-25 09:28:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:12:58 tlr: 7.7e-05 tnm: 0.46 Lm: 6.652 (6.652) Lt: 5.941 (5.941) Accm: 2.70 (2.70) Acct: 4.39 (4.39) proj_loss: -0.6044 (-0.6044) time: 0.4667 data: 0.0003
[11-25 09:28:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:12:59 tlr: 7.7e-05 tnm: 0.46 Lm: 6.553 (6.553) Lt: 5.775 (5.775) Accm: 3.31 (3.31) Acct: 5.73 (5.73) proj_loss: -0.5995 (-0.5995) time: 0.4668 data: 0.0003
[11-25 09:28:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:12:58 tlr: 7.7e-05 tnm: 0.46 Lm: 6.761 (6.761) Lt: 6.059 (6.059) Accm: 2.54 (2.54) Acct: 4.12 (4.12) proj_loss: -0.5973 (-0.5973) time: 0.4664 data: 0.0004
[11-25 09:28:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:12:59 tlr: 7.7e-05 tnm: 0.46 Lm: 6.606 (6.606) Lt: 5.822 (5.822) Accm: 3.03 (3.03) Acct: 4.91 (4.91) proj_loss: -0.5760 (-0.5760) time: 0.4668 data: 0.0004
[11-25 09:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:10:14 tlr: 7.7e-05 tnm: 0.46 Lm: 6.557 (6.557) Lt: 5.808 (5.808) Accm: 3.18 (3.18) Acct: 5.04 (5.04) proj_loss: -0.5897 (-0.5897) time: 0.4910 data: 0.0003
[11-25 09:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:10:14 tlr: 7.7e-05 tnm: 0.46 Lm: 6.573 (6.573) Lt: 5.830 (5.830) Accm: 3.07 (3.07) Acct: 5.02 (5.02) proj_loss: -0.5989 (-0.5989) time: 0.4910 data: 0.0003
[11-25 09:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:10:14 tlr: 7.7e-05 tnm: 0.46 Lm: 6.784 (6.784) Lt: 6.088 (6.088) Accm: 2.71 (2.71) Acct: 4.39 (4.39) proj_loss: -0.5964 (-0.5964) time: 0.4910 data: 0.0003
[11-25 09:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:10:14 tlr: 7.7e-05 tnm: 0.46 Lm: 6.554 (6.554) Lt: 5.792 (5.792) Accm: 3.23 (3.23) Acct: 5.48 (5.48) proj_loss: -0.6039 (-0.6039) time: 0.4910 data: 0.0003
[11-25 09:35:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:06:50 tlr: 7.6e-05 tnm: 0.46 Lm: 6.555 (6.571) Lt: 5.806 (5.797) Accm: 3.30 (3.26) Acct: 5.46 (5.47) proj_loss: -0.5995 (-0.5992) time: 0.4929 data: 0.0003
[11-25 09:35:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:06:50 tlr: 7.6e-05 tnm: 0.46 Lm: 6.606 (6.587) Lt: 5.822 (5.854) Accm: 3.03 (3.10) Acct: 4.91 (4.92) proj_loss: -0.5849 (-0.5881) time: 0.4929 data: 0.0003
[11-25 09:35:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:06:50 tlr: 7.6e-05 tnm: 0.46 Lm: 6.579 (6.575) Lt: 5.857 (5.839) Accm: 3.18 (3.11) Acct: 4.77 (4.94) proj_loss: -0.6044 (-0.6014) time: 0.4928 data: 0.0003
[11-25 09:35:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:06:50 tlr: 7.6e-05 tnm: 0.46 Lm: 6.761 (6.721) Lt: 6.059 (6.024) Accm: 2.87 (2.83) Acct: 4.67 (4.56) proj_loss: -0.5973 (-0.6019) time: 0.4929 data: 0.0003
[11-25 09:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:03:27 tlr: 7.6e-05 tnm: 0.45 Lm: 6.678 (6.665) Lt: 5.978 (5.946) Accm: 2.97 (3.01) Acct: 4.78 (4.80) proj_loss: -0.5964 (-0.5968) time: 0.4901 data: 0.0003
[11-25 09:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:03:27 tlr: 7.6e-05 tnm: 0.45 Lm: 6.585 (6.581) Lt: 5.817 (5.844) Accm: 3.09 (3.11) Acct: 4.80 (4.86) proj_loss: -0.5942 (-0.5927) time: 0.4901 data: 0.0003
[11-25 09:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:03:27 tlr: 7.6e-05 tnm: 0.45 Lm: 6.596 (6.585) Lt: 5.886 (5.858) Accm: 3.19 (3.13) Acct: 4.69 (4.86) proj_loss: -0.5989 (-0.5975) time: 0.4901 data: 0.0003
[11-25 09:38:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:03:27 tlr: 7.6e-05 tnm: 0.45 Lm: 6.579 (6.587) Lt: 5.807 (5.828) Accm: 3.23 (3.13) Acct: 5.34 (5.21) proj_loss: -0.5961 (-0.5975) time: 0.4901 data: 0.0003
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.46 Lm: 6.555 (6.579) Lt: 5.806 (5.822) Accm: 3.28 (3.16) Acct: 5.22 (5.20) proj_loss: -0.5995 (-0.6004) time: 0.4904 data: 0.0016
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:13:53 (0.499 s / it)
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.46 Lm: 6.661 (6.664) Lt: 5.898 (5.935) Accm: 2.99 (3.00) Acct: 4.89 (4.86) proj_loss: -0.5956 (-0.5963) time: 0.4904 data: 0.0017
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.46 Lm: 6.579 (6.564) Lt: 5.857 (5.834) Accm: 3.19 (3.19) Acct: 4.77 (4.98) proj_loss: -0.6044 (-0.5992) time: 0.4904 data: 0.0014
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.46 Lm: 6.606 (6.599) Lt: 5.822 (5.857) Accm: 3.03 (3.06) Acct: 4.68 (4.78) proj_loss: -0.5990 (-0.5940) time: 0.4904 data: 0.0019
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:13:53 (0.499 s / it)
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:13:53 (0.499 s / it)
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:13:53 (0.499 s / it)
[11-25 09:42:10] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.579 (6.604), Lt: 5.840 (5.865), Acc m&t: 3.20 5.02, Remain: 23:09:31, Finish: 2024-11-25 16:51
[11-25 09:42:10] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.579 (6.604), Lt: 5.840 (5.865), Acc m&t: 3.20 5.02, Remain: 23:09:39, Finish: 2024-11-25 16:51
[11-25 09:42:10] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.579 (6.604), Lt: 5.840 (5.865), Acc m&t: 3.20 5.02, Remain: 23:09:46, Finish: 2024-11-25 16:51
[11-25 09:42:10] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.579 (6.604), Lt: 5.840 (5.865), Acc m&t: 3.20 5.02, Remain: 23:09:24, Finish: 2024-11-25 16:51
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:13:04 tlr: 7.6e-05 tnm: 0.48 Lm: 6.688 (6.688) Lt: 5.918 (5.918) Accm: 3.05 (3.05) Acct: 4.84 (4.84) proj_loss: -0.5855 (-0.5855) time: 0.4700 data: 0.0003
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:13:05 tlr: 7.6e-05 tnm: 0.48 Lm: 6.563 (6.563) Lt: 5.770 (5.770) Accm: 3.21 (3.21) Acct: 5.06 (5.06) proj_loss: -0.5716 (-0.5716) time: 0.4703 data: 0.0004
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:13:05 tlr: 7.6e-05 tnm: 0.48 Lm: 6.443 (6.443) Lt: 5.662 (5.662) Accm: 3.51 (3.51) Acct: 5.44 (5.44) proj_loss: -0.6025 (-0.6025) time: 0.4706 data: 0.0004
[11-25 09:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:13:10 tlr: 7.6e-05 tnm: 0.48 Lm: 6.640 (6.640) Lt: 5.892 (5.892) Accm: 2.80 (2.80) Acct: 4.51 (4.51) proj_loss: -0.5859 (-0.5859) time: 0.4736 data: 0.0003
[11-25 09:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:10:51 tlr: 7.6e-05 tnm: 0.47 Lm: 6.615 (6.615) Lt: 5.861 (5.861) Accm: 3.06 (3.06) Acct: 4.88 (4.88) proj_loss: -0.5782 (-0.5782) time: 0.4925 data: 0.0003
[11-25 09:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:10:51 tlr: 7.6e-05 tnm: 0.47 Lm: 6.556 (6.556) Lt: 5.809 (5.809) Accm: 3.18 (3.18) Acct: 4.98 (4.98) proj_loss: -0.6121 (-0.6121) time: 0.4925 data: 0.0003
[11-25 09:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:10:51 tlr: 7.6e-05 tnm: 0.47 Lm: 6.583 (6.583) Lt: 5.843 (5.843) Accm: 3.15 (3.15) Acct: 4.83 (4.83) proj_loss: -0.5963 (-0.5963) time: 0.4925 data: 0.0003
[11-25 09:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:10:51 tlr: 7.6e-05 tnm: 0.47 Lm: 6.583 (6.583) Lt: 5.817 (5.817) Accm: 3.23 (3.23) Acct: 5.16 (5.16) proj_loss: -0.5867 (-0.5867) time: 0.4925 data: 0.0003
[11-25 09:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:07:14 tlr: 7.6e-05 tnm: 0.45 Lm: 6.478 (6.543) Lt: 5.715 (5.765) Accm: 3.26 (3.24) Acct: 5.42 (5.25) proj_loss: -0.5879 (-0.5953) time: 0.4862 data: 0.0003
[11-25 09:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:07:14 tlr: 7.6e-05 tnm: 0.45 Lm: 6.526 (6.546) Lt: 5.708 (5.775) Accm: 3.28 (3.21) Acct: 5.32 (5.10) proj_loss: -0.6025 (-0.6041) time: 0.4862 data: 0.0003
[11-25 09:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:07:14 tlr: 7.6e-05 tnm: 0.45 Lm: 6.563 (6.573) Lt: 5.784 (5.823) Accm: 3.21 (3.18) Acct: 5.03 (4.90) proj_loss: -0.5790 (-0.5905) time: 0.4862 data: 0.0003
[11-25 09:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:07:14 tlr: 7.6e-05 tnm: 0.45 Lm: 6.591 (6.593) Lt: 5.830 (5.822) Accm: 3.07 (3.06) Acct: 5.15 (4.97) proj_loss: -0.5827 (-0.5797) time: 0.4862 data: 0.0003
[11-25 09:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:03:33 tlr: 7.5e-05 tnm: 0.47 Lm: 6.615 (6.645) Lt: 5.861 (5.886) Accm: 2.94 (2.88) Acct: 4.83 (4.61) proj_loss: -0.5843 (-0.5841) time: 0.4884 data: 0.0003
[11-25 09:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:03:33 tlr: 7.5e-05 tnm: 0.47 Lm: 6.583 (6.605) Lt: 5.850 (5.859) Accm: 3.15 (3.09) Acct: 4.81 (4.72) proj_loss: -0.5962 (-0.5962) time: 0.4884 data: 0.0003
[11-25 09:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:03:33 tlr: 7.5e-05 tnm: 0.47 Lm: 6.559 (6.557) Lt: 5.790 (5.799) Accm: 3.28 (3.23) Acct: 5.25 (5.12) proj_loss: -0.6076 (-0.6063) time: 0.4884 data: 0.0003
[11-25 09:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:03:33 tlr: 7.5e-05 tnm: 0.47 Lm: 6.551 (6.563) Lt: 5.814 (5.802) Accm: 3.20 (3.21) Acct: 5.14 (5.15) proj_loss: -0.5994 (-0.5992) time: 0.4884 data: 0.0003
[11-25 09:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.46 Lm: 6.624 (6.598) Lt: 5.913 (5.845) Accm: 3.14 (3.10) Acct: 4.86 (5.00) proj_loss: -0.5879 (-0.5957) time: 0.4930 data: 0.0016
[11-25 09:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:14:03 (0.505 s / it)
[11-25 09:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.46 Lm: 6.640 (6.647) Lt: 5.892 (5.892) Accm: 2.98 (2.90) Acct: 4.65 (4.62) proj_loss: -0.5827 (-0.5812) time: 0.4930 data: 0.0016
[11-25 09:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.46 Lm: 6.526 (6.510) Lt: 5.708 (5.739) Accm: 3.28 (3.37) Acct: 5.32 (5.38) proj_loss: -0.6061 (-0.6062) time: 0.4930 data: 0.0017
[11-25 09:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.46 Lm: 6.563 (6.568) Lt: 5.784 (5.819) Accm: 3.21 (3.19) Acct: 5.03 (4.90) proj_loss: -0.5989 (-0.5968) time: 0.4930 data: 0.0016
[11-25 09:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:14:03 (0.505 s / it)
[11-25 09:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:14:03 (0.505 s / it)
[11-25 09:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:14:03 (0.505 s / it)
[11-25 09:58:30] (home/user/VAR/trainer.py, line 114)=> FID: 3.6140714065111297
[11-25 09:58:31] (/home/user/VAR/train.py , line 259)=> [*] [ep249] (val 50000) Lm: 6.5872, Lt: 5.8431, Acc m&t: 3.17 4.99, Val cost: 136.80s
[11-25 09:58:31] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 09:58:53] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.579 (6.587), Lt: 5.840 (5.843), Acc m&t: 3.20 5.02, Remain: 23:04:09, Finish: 2024-11-25 17:00
[11-25 09:58:53] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.579 (6.587), Lt: 5.840 (5.843), Acc m&t: 3.20 5.02, Remain: 23:04:23, Finish: 2024-11-25 17:00
[11-25 09:58:53] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.579 (6.587), Lt: 5.840 (5.843), Acc m&t: 3.20 5.02, Remain: 23:04:47, Finish: 2024-11-25 17:01
[11-25 09:58:53] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.579 (6.587), Lt: 5.840 (5.843), Acc m&t: 3.20 5.02, Remain: 23:04:21, Finish: 2024-11-25 17:00
[11-25 09:58:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:13:22 tlr: 7.5e-05 tnm: 0.45 Lm: 6.558 (6.558) Lt: 5.832 (5.832) Accm: 3.25 (3.25) Acct: 5.10 (5.10) proj_loss: -0.6023 (-0.6023) time: 0.4809 data: 0.0003
[11-25 09:58:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:13:21 tlr: 7.5e-05 tnm: 0.45 Lm: 6.722 (6.722) Lt: 5.993 (5.993) Accm: 2.78 (2.78) Acct: 4.51 (4.51) proj_loss: -0.5884 (-0.5884) time: 0.4805 data: 0.0004
[11-25 09:58:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:13:22 tlr: 7.5e-05 tnm: 0.45 Lm: 6.676 (6.676) Lt: 5.917 (5.917) Accm: 2.88 (2.88) Acct: 4.72 (4.72) proj_loss: -0.6126 (-0.6126) time: 0.4809 data: 0.0003
[11-25 09:58:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:13:22 tlr: 7.5e-05 tnm: 0.45 Lm: 6.786 (6.786) Lt: 6.098 (6.098) Accm: 2.61 (2.61) Acct: 4.39 (4.39) proj_loss: -0.6110 (-0.6110) time: 0.4810 data: 0.0004
[11-25 10:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:10:22 tlr: 7.5e-05 tnm: 0.47 Lm: 6.776 (6.776) Lt: 6.089 (6.089) Accm: 2.57 (2.57) Acct: 4.31 (4.31) proj_loss: -0.6025 (-0.6025) time: 0.4889 data: 0.0003
[11-25 10:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:10:22 tlr: 7.5e-05 tnm: 0.47 Lm: 6.520 (6.520) Lt: 5.772 (5.772) Accm: 3.42 (3.42) Acct: 5.32 (5.32) proj_loss: -0.5937 (-0.5937) time: 0.4888 data: 0.0003
[11-25 10:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:10:22 tlr: 7.5e-05 tnm: 0.47 Lm: 6.587 (6.587) Lt: 5.837 (5.837) Accm: 3.09 (3.09) Acct: 4.84 (4.84) proj_loss: -0.6039 (-0.6039) time: 0.4888 data: 0.0003
[11-25 10:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:10:22 tlr: 7.5e-05 tnm: 0.47 Lm: 6.699 (6.699) Lt: 5.940 (5.940) Accm: 2.92 (2.92) Acct: 4.80 (4.80) proj_loss: -0.5845 (-0.5845) time: 0.4888 data: 0.0003
[11-25 10:05:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:07:05 tlr: 7.5e-05 tnm: 0.46 Lm: 6.675 (6.661) Lt: 5.887 (5.907) Accm: 3.06 (3.02) Acct: 4.80 (4.80) proj_loss: -0.5884 (-0.5903) time: 0.5394 data: 0.0003
[11-25 10:05:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:07:05 tlr: 7.5e-05 tnm: 0.46 Lm: 6.536 (6.570) Lt: 5.762 (5.812) Accm: 3.30 (3.20) Acct: 4.96 (4.97) proj_loss: -0.5955 (-0.6011) time: 0.5394 data: 0.0003
[11-25 10:05:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:07:05 tlr: 7.5e-05 tnm: 0.46 Lm: 6.765 (6.724) Lt: 6.080 (6.021) Accm: 2.61 (2.75) Acct: 4.39 (4.45) proj_loss: -0.5940 (-0.5966) time: 0.5394 data: 0.0003
[11-25 10:05:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:07:05 tlr: 7.5e-05 tnm: 0.46 Lm: 6.558 (6.554) Lt: 5.832 (5.818) Accm: 3.25 (3.18) Acct: 5.10 (4.88) proj_loss: -0.6023 (-0.5968) time: 0.5395 data: 0.0003
[11-25 10:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:03:35 tlr: 7.5e-05 tnm: 0.48 Lm: 6.590 (6.576) Lt: 5.872 (5.846) Accm: 3.08 (3.11) Acct: 4.81 (4.79) proj_loss: -0.5937 (-0.5909) time: 0.4920 data: 0.0003
[11-25 10:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:03:35 tlr: 7.5e-05 tnm: 0.48 Lm: 6.562 (6.575) Lt: 5.808 (5.822) Accm: 3.20 (3.17) Acct: 4.88 (4.93) proj_loss: -0.5989 (-0.6014) time: 0.4920 data: 0.0003
[11-25 10:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:03:35 tlr: 7.5e-05 tnm: 0.48 Lm: 6.631 (6.629) Lt: 5.865 (5.871) Accm: 3.14 (3.15) Acct: 4.94 (5.03) proj_loss: -0.5845 (-0.5876) time: 0.4920 data: 0.0003
[11-25 10:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:03:35 tlr: 7.5e-05 tnm: 0.48 Lm: 6.693 (6.675) Lt: 5.983 (5.958) Accm: 2.75 (2.78) Acct: 4.44 (4.46) proj_loss: -0.5949 (-0.5964) time: 0.4920 data: 0.0003
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.46 Lm: 6.645 (6.669) Lt: 5.955 (5.957) Accm: 2.83 (2.79) Acct: 4.39 (4.43) proj_loss: -0.5957 (-0.5975) time: 0.4902 data: 0.0017
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:14:14 (0.512 s / it)
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.46 Lm: 6.536 (6.562) Lt: 5.780 (5.814) Accm: 3.30 (3.21) Acct: 4.96 (5.01) proj_loss: -0.5955 (-0.6002) time: 0.4902 data: 0.0018
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.46 Lm: 6.587 (6.607) Lt: 5.842 (5.857) Accm: 3.09 (3.14) Acct: 4.82 (4.99) proj_loss: -0.5884 (-0.5883) time: 0.4902 data: 0.0018
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.46 Lm: 6.558 (6.571) Lt: 5.855 (5.848) Accm: 3.17 (3.12) Acct: 4.96 (4.82) proj_loss: -0.6023 (-0.5938) time: 0.4902 data: 0.0019
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:14:14 (0.512 s / it)
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:14:14 (0.512 s / it)
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:14:14 (0.512 s / it)
[11-25 10:13:08] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.579 (6.598), Lt: 5.840 (5.862), Acc m&t: 3.20 5.02, Remain: 22:45:38, Finish: 2024-11-25 16:58
[11-25 10:13:08] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.579 (6.598), Lt: 5.840 (5.862), Acc m&t: 3.20 5.02, Remain: 22:45:46, Finish: 2024-11-25 16:58
[11-25 10:13:08] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.579 (6.598), Lt: 5.840 (5.862), Acc m&t: 3.20 5.02, Remain: 22:45:39, Finish: 2024-11-25 16:58
[11-25 10:13:08] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.579 (6.598), Lt: 5.840 (5.862), Acc m&t: 3.20 5.02, Remain: 22:45:17, Finish: 2024-11-25 16:58
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:12:59 tlr: 7.5e-05 tnm: 0.47 Lm: 6.436 (6.436) Lt: 5.735 (5.735) Accm: 3.88 (3.88) Acct: 5.94 (5.94) proj_loss: -0.5972 (-0.5972) time: 0.4668 data: 0.0004
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:12:59 tlr: 7.5e-05 tnm: 0.47 Lm: 6.295 (6.295) Lt: 5.550 (5.550) Accm: 4.00 (4.00) Acct: 6.22 (6.22) proj_loss: -0.6038 (-0.6038) time: 0.4672 data: 0.0004
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:12:59 tlr: 7.5e-05 tnm: 0.47 Lm: 6.740 (6.740) Lt: 6.017 (6.017) Accm: 2.86 (2.86) Acct: 4.55 (4.55) proj_loss: -0.5662 (-0.5662) time: 0.4671 data: 0.0004
[11-25 10:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:13:00 tlr: 7.5e-05 tnm: 0.47 Lm: 6.677 (6.677) Lt: 5.948 (5.948) Accm: 2.80 (2.80) Acct: 4.36 (4.36) proj_loss: -0.6249 (-0.6249) time: 0.4675 data: 0.0003
[11-25 10:16:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:10:17 tlr: 7.4e-05 tnm: 0.47 Lm: 6.542 (6.542) Lt: 5.807 (5.807) Accm: 3.10 (3.10) Acct: 4.79 (4.79) proj_loss: -0.6134 (-0.6134) time: 0.4877 data: 0.0003
[11-25 10:16:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:10:17 tlr: 7.4e-05 tnm: 0.47 Lm: 6.674 (6.674) Lt: 5.949 (5.949) Accm: 3.13 (3.13) Acct: 4.92 (4.92) proj_loss: -0.5880 (-0.5880) time: 0.4877 data: 0.0003
[11-25 10:16:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:10:17 tlr: 7.4e-05 tnm: 0.47 Lm: 6.521 (6.521) Lt: 5.798 (5.798) Accm: 3.43 (3.43) Acct: 5.33 (5.33) proj_loss: -0.5987 (-0.5987) time: 0.4877 data: 0.0003
[11-25 10:16:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:10:17 tlr: 7.4e-05 tnm: 0.47 Lm: 6.487 (6.487) Lt: 5.770 (5.770) Accm: 3.36 (3.36) Acct: 5.28 (5.28) proj_loss: -0.6033 (-0.6033) time: 0.4877 data: 0.0003
[11-25 10:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:06:50 tlr: 7.4e-05 tnm: 0.48 Lm: 6.609 (6.649) Lt: 5.882 (5.902) Accm: 2.96 (3.07) Acct: 4.79 (4.88) proj_loss: -0.5993 (-0.5917) time: 0.4915 data: 0.0003
[11-25 10:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:06:50 tlr: 7.4e-05 tnm: 0.48 Lm: 6.607 (6.562) Lt: 5.860 (5.841) Accm: 2.99 (3.25) Acct: 4.72 (5.00) proj_loss: -0.5972 (-0.5970) time: 0.4915 data: 0.0003
[11-25 10:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:06:50 tlr: 7.4e-05 tnm: 0.48 Lm: 6.408 (6.471) Lt: 5.666 (5.740) Accm: 3.40 (3.44) Acct: 5.22 (5.34) proj_loss: -0.6208 (-0.6159) time: 0.4916 data: 0.0003
[11-25 10:19:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:06:50 tlr: 7.4e-05 tnm: 0.48 Lm: 6.295 (6.412) Lt: 5.550 (5.656) Accm: 4.00 (3.63) Acct: 6.22 (5.73) proj_loss: -0.6027 (-0.6006) time: 0.4916 data: 0.0003
[11-25 10:23:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:03:29 tlr: 7.4e-05 tnm: 0.51 Lm: 6.412 (6.441) Lt: 5.667 (5.688) Accm: 3.59 (3.52) Acct: 5.61 (5.55) proj_loss: -0.6033 (-0.6018) time: 0.5349 data: 0.0003
[11-25 10:23:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:03:29 tlr: 7.4e-05 tnm: 0.51 Lm: 6.604 (6.610) Lt: 5.845 (5.850) Accm: 3.15 (3.14) Acct: 4.96 (4.94) proj_loss: -0.5976 (-0.5928) time: 0.5349 data: 0.0003
[11-25 10:23:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:03:29 tlr: 7.4e-05 tnm: 0.51 Lm: 6.542 (6.525) Lt: 5.793 (5.786) Accm: 3.10 (3.27) Acct: 4.89 (5.14) proj_loss: -0.6113 (-0.6072) time: 0.5349 data: 0.0002
[11-25 10:23:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:03:29 tlr: 7.4e-05 tnm: 0.51 Lm: 6.608 (6.573) Lt: 5.858 (5.844) Accm: 2.95 (3.17) Acct: 4.62 (4.89) proj_loss: -0.5954 (-0.5956) time: 0.5349 data: 0.0003
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.47 Lm: 6.607 (6.567) Lt: 5.855 (5.837) Accm: 2.99 (3.16) Acct: 4.72 (4.93) proj_loss: -0.5972 (-0.5968) time: 0.4894 data: 0.0016
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:13:59 (0.503 s / it)
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.47 Lm: 6.599 (6.576) Lt: 5.809 (5.806) Accm: 3.29 (3.17) Acct: 5.13 (5.03) proj_loss: -0.5959 (-0.5910) time: 0.4894 data: 0.0018
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.47 Lm: 6.624 (6.545) Lt: 5.902 (5.809) Accm: 3.38 (3.29) Acct: 5.22 (5.20) proj_loss: -0.6027 (-0.6063) time: 0.4894 data: 0.0015
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.47 Lm: 6.530 (6.467) Lt: 5.785 (5.715) Accm: 3.19 (3.44) Acct: 5.01 (5.43) proj_loss: -0.6027 (-0.6007) time: 0.4894 data: 0.0018
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:13:59 (0.503 s / it)
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:13:59 (0.503 s / it)
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:13:59 (0.503 s / it)
[11-25 10:27:07] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.569 (6.569), Lt: 5.826 (5.826), Acc m&t: 3.20 5.05, Remain: 22:24:25, Finish: 2024-11-25 16:51
[11-25 10:27:07] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.569 (6.569), Lt: 5.826 (5.826), Acc m&t: 3.20 5.05, Remain: 22:24:17, Finish: 2024-11-25 16:51
[11-25 10:27:07] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.569 (6.569), Lt: 5.826 (5.826), Acc m&t: 3.20 5.05, Remain: 22:26:38, Finish: 2024-11-25 16:53
[11-25 10:27:07] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.569 (6.569), Lt: 5.826 (5.826), Acc m&t: 3.20 5.05, Remain: 22:24:56, Finish: 2024-11-25 16:52
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:13:26 tlr: 7.4e-05 tnm: 0.47 Lm: 6.757 (6.757) Lt: 6.021 (6.021) Accm: 2.53 (2.53) Acct: 4.13 (4.13) proj_loss: -0.6062 (-0.6062) time: 0.4835 data: 0.0004
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:13:27 tlr: 7.4e-05 tnm: 0.47 Lm: 6.595 (6.595) Lt: 5.880 (5.880) Accm: 3.37 (3.37) Acct: 5.51 (5.51) proj_loss: -0.5883 (-0.5883) time: 0.4836 data: 0.0003
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:13:27 tlr: 7.4e-05 tnm: 0.47 Lm: 6.684 (6.684) Lt: 5.922 (5.922) Accm: 2.78 (2.78) Acct: 4.36 (4.36) proj_loss: -0.5709 (-0.5709) time: 0.4839 data: 0.0003
[11-25 10:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:13:25 tlr: 7.4e-05 tnm: 0.47 Lm: 6.716 (6.716) Lt: 6.046 (6.046) Accm: 2.75 (2.75) Acct: 4.24 (4.24) proj_loss: -0.6123 (-0.6123) time: 0.4826 data: 0.0004
[11-25 10:30:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:11:01 tlr: 7.4e-05 tnm: 0.47 Lm: 6.569 (6.569) Lt: 5.846 (5.846) Accm: 3.10 (3.10) Acct: 4.98 (4.98) proj_loss: -0.6107 (-0.6107) time: 0.5445 data: 0.0003
[11-25 10:30:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:11:01 tlr: 7.4e-05 tnm: 0.47 Lm: 6.570 (6.570) Lt: 5.860 (5.860) Accm: 3.18 (3.18) Acct: 4.88 (4.88) proj_loss: -0.5923 (-0.5923) time: 0.5445 data: 0.0003
[11-25 10:30:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:11:01 tlr: 7.4e-05 tnm: 0.47 Lm: 6.593 (6.593) Lt: 5.870 (5.870) Accm: 3.02 (3.02) Acct: 4.72 (4.72) proj_loss: -0.6075 (-0.6075) time: 0.5445 data: 0.0003
[11-25 10:30:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:11:01 tlr: 7.4e-05 tnm: 0.47 Lm: 6.615 (6.615) Lt: 5.871 (5.871) Accm: 2.98 (2.98) Acct: 4.64 (4.64) proj_loss: -0.5882 (-0.5882) time: 0.5445 data: 0.0003
[11-25 10:34:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:07:09 tlr: 7.3e-05 tnm: 0.48 Lm: 6.582 (6.604) Lt: 5.874 (5.872) Accm: 3.17 (3.12) Acct: 4.92 (4.87) proj_loss: -0.5967 (-0.5910) time: 0.4889 data: 0.0003
[11-25 10:34:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:07:09 tlr: 7.3e-05 tnm: 0.48 Lm: 6.692 (6.626) Lt: 5.990 (5.910) Accm: 2.88 (2.97) Acct: 4.58 (4.67) proj_loss: -0.6062 (-0.6048) time: 0.4889 data: 0.0003
[11-25 10:34:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:07:09 tlr: 7.3e-05 tnm: 0.48 Lm: 6.595 (6.584) Lt: 5.880 (5.890) Accm: 3.37 (3.39) Acct: 5.51 (5.25) proj_loss: -0.5963 (-0.5973) time: 0.4889 data: 0.0003
[11-25 10:34:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:07:09 tlr: 7.3e-05 tnm: 0.48 Lm: 6.607 (6.581) Lt: 5.867 (5.853) Accm: 3.23 (3.14) Acct: 5.13 (5.03) proj_loss: -0.6090 (-0.6080) time: 0.4889 data: 0.0003
[11-25 10:37:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:03:31 tlr: 7.3e-05 tnm: 0.47 Lm: 6.569 (6.569) Lt: 5.823 (5.834) Accm: 3.23 (3.17) Acct: 5.13 (5.05) proj_loss: -0.6058 (-0.6053) time: 0.4887 data: 0.0005
[11-25 10:37:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:03:31 tlr: 7.3e-05 tnm: 0.47 Lm: 6.633 (6.638) Lt: 5.898 (5.920) Accm: 2.98 (3.00) Acct: 4.64 (4.69) proj_loss: -0.5950 (-0.5916) time: 0.4887 data: 0.0003
[11-25 10:37:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:03:31 tlr: 7.3e-05 tnm: 0.47 Lm: 6.570 (6.568) Lt: 5.860 (5.853) Accm: 3.33 (3.37) Acct: 5.51 (5.32) proj_loss: -0.5992 (-0.5985) time: 0.4887 data: 0.0003
[11-25 10:37:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:03:31 tlr: 7.3e-05 tnm: 0.47 Lm: 6.628 (6.611) Lt: 5.897 (5.884) Accm: 3.02 (3.02) Acct: 4.82 (4.77) proj_loss: -0.6028 (-0.6019) time: 0.4887 data: 0.0003
[11-25 10:41:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.46 Lm: 6.626 (6.614) Lt: 5.891 (5.885) Accm: 3.04 (3.02) Acct: 4.61 (4.74) proj_loss: -0.6051 (-0.6025) time: 0.4919 data: 0.0014
[11-25 10:41:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:14:01 (0.504 s / it)
[11-25 10:41:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.46 Lm: 6.607 (6.581) Lt: 5.867 (5.842) Accm: 3.23 (3.14) Acct: 5.13 (5.03) proj_loss: -0.6025 (-0.6042) time: 0.4918 data: 0.0019
[11-25 10:41:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.46 Lm: 6.595 (6.599) Lt: 5.880 (5.881) Accm: 3.29 (3.30) Acct: 5.51 (5.23) proj_loss: -0.6021 (-0.6004) time: 0.4919 data: 0.0017
[11-25 10:41:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.46 Lm: 6.582 (6.616) Lt: 5.874 (5.900) Accm: 3.17 (3.04) Acct: 4.67 (4.68) proj_loss: -0.5967 (-0.5942) time: 0.4919 data: 0.0017
[11-25 10:41:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:14:01 (0.504 s / it)
[11-25 10:41:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:14:01 (0.504 s / it)
[11-25 10:41:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:14:01 (0.504 s / it)
[11-25 10:41:08] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.569 (6.586), Lt: 5.826 (5.847), Acc m&t: 3.20 5.05, Remain: 22:20:27, Finish: 2024-11-25 17:01
[11-25 10:41:08] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.569 (6.586), Lt: 5.826 (5.847), Acc m&t: 3.20 5.05, Remain: 22:21:53, Finish: 2024-11-25 17:03
[11-25 10:41:08] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.569 (6.586), Lt: 5.826 (5.847), Acc m&t: 3.20 5.05, Remain: 22:19:52, Finish: 2024-11-25 17:01
[11-25 10:41:08] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.569 (6.586), Lt: 5.826 (5.847), Acc m&t: 3.20 5.05, Remain: 22:19:46, Finish: 2024-11-25 17:00
[11-25 10:41:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:12:53 tlr: 7.3e-05 tnm: 0.45 Lm: 6.727 (6.727) Lt: 5.981 (5.981) Accm: 2.83 (2.83) Acct: 4.44 (4.44) proj_loss: -0.5956 (-0.5956) time: 0.4636 data: 0.0003
[11-25 10:41:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:12:55 tlr: 7.3e-05 tnm: 0.45 Lm: 6.549 (6.549) Lt: 5.806 (5.806) Accm: 3.42 (3.42) Acct: 5.56 (5.56) proj_loss: -0.5853 (-0.5853) time: 0.4644 data: 0.0004
[11-25 10:41:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:12:55 tlr: 7.3e-05 tnm: 0.45 Lm: 6.619 (6.619) Lt: 5.910 (5.910) Accm: 2.68 (2.68) Acct: 4.01 (4.01) proj_loss: -0.6136 (-0.6136) time: 0.4646 data: 0.0003
[11-25 10:41:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:12:55 tlr: 7.3e-05 tnm: 0.45 Lm: 6.482 (6.482) Lt: 5.805 (5.805) Accm: 3.74 (3.74) Acct: 5.32 (5.32) proj_loss: -0.6098 (-0.6098) time: 0.4648 data: 0.0004
[11-25 10:44:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:10:38 tlr: 7.3e-05 tnm: 0.47 Lm: 6.518 (6.518) Lt: 5.789 (5.789) Accm: 3.59 (3.59) Acct: 5.54 (5.54) proj_loss: -0.6162 (-0.6162) time: 0.4919 data: 0.0003
[11-25 10:44:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:10:38 tlr: 7.3e-05 tnm: 0.47 Lm: 6.552 (6.552) Lt: 5.808 (5.808) Accm: 3.27 (3.27) Acct: 5.26 (5.26) proj_loss: -0.5986 (-0.5986) time: 0.4919 data: 0.0003
[11-25 10:44:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:10:38 tlr: 7.3e-05 tnm: 0.47 Lm: 6.731 (6.731) Lt: 6.021 (6.021) Accm: 2.79 (2.79) Acct: 4.28 (4.28) proj_loss: -0.6018 (-0.6018) time: 0.4919 data: 0.0003
[11-25 10:44:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:10:38 tlr: 7.3e-05 tnm: 0.47 Lm: 6.648 (6.648) Lt: 5.911 (5.911) Accm: 2.78 (2.78) Acct: 4.30 (4.30) proj_loss: -0.6042 (-0.6042) time: 0.4919 data: 0.0003
[11-25 10:48:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:07:13 tlr: 7.3e-05 tnm: 0.47 Lm: 6.676 (6.701) Lt: 5.911 (5.952) Accm: 2.68 (2.70) Acct: 4.27 (4.29) proj_loss: -0.5947 (-0.5905) time: 0.5480 data: 0.0003
[11-25 10:48:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:07:13 tlr: 7.3e-05 tnm: 0.47 Lm: 6.554 (6.605) Lt: 5.810 (5.874) Accm: 3.11 (3.08) Acct: 4.96 (4.95) proj_loss: -0.6118 (-0.6045) time: 0.5480 data: 0.0003
[11-25 10:48:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:07:13 tlr: 7.3e-05 tnm: 0.47 Lm: 6.499 (6.512) Lt: 5.773 (5.771) Accm: 3.44 (3.50) Acct: 5.32 (5.41) proj_loss: -0.6225 (-0.6188) time: 0.5480 data: 0.0003
[11-25 10:48:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:07:13 tlr: 7.3e-05 tnm: 0.47 Lm: 6.727 (6.654) Lt: 5.981 (5.932) Accm: 2.83 (2.98) Acct: 4.44 (4.71) proj_loss: -0.5987 (-0.6008) time: 0.5480 data: 0.0003
[11-25 10:51:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:03:36 tlr: 7.3e-05 tnm: 0.46 Lm: 6.696 (6.657) Lt: 5.960 (5.934) Accm: 2.99 (3.02) Acct: 4.70 (4.77) proj_loss: -0.5985 (-0.6001) time: 0.5434 data: 0.0003
[11-25 10:51:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:03:36 tlr: 7.3e-05 tnm: 0.46 Lm: 6.491 (6.495) Lt: 5.753 (5.753) Accm: 3.44 (3.49) Acct: 5.48 (5.47) proj_loss: -0.6162 (-0.6073) time: 0.5434 data: 0.0003
[11-25 10:51:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:03:36 tlr: 7.3e-05 tnm: 0.46 Lm: 6.552 (6.578) Lt: 5.808 (5.831) Accm: 3.27 (3.22) Acct: 5.25 (5.10) proj_loss: -0.6082 (-0.6045) time: 0.5434 data: 0.0003
[11-25 10:51:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:03:36 tlr: 7.3e-05 tnm: 0.46 Lm: 6.648 (6.669) Lt: 5.911 (5.923) Accm: 2.78 (2.80) Acct: 4.42 (4.41) proj_loss: -0.5908 (-0.5896) time: 0.5434 data: 0.0003
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.46 Lm: 6.676 (6.678) Lt: 5.911 (5.941) Accm: 2.72 (2.79) Acct: 4.55 (4.44) proj_loss: -0.5947 (-0.5947) time: 0.4945 data: 0.0017
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:14:14 (0.512 s / it)
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.46 Lm: 6.499 (6.519) Lt: 5.773 (5.770) Accm: 3.44 (3.44) Acct: 5.32 (5.39) proj_loss: -0.6098 (-0.6024) time: 0.4945 data: 0.0016
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.46 Lm: 6.665 (6.641) Lt: 5.939 (5.911) Accm: 3.15 (3.14) Acct: 4.96 (4.85) proj_loss: -0.5982 (-0.5969) time: 0.4945 data: 0.0015
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.46 Lm: 6.549 (6.559) Lt: 5.806 (5.820) Accm: 3.42 (3.29) Acct: 5.54 (5.19) proj_loss: -0.6045 (-0.6028) time: 0.4945 data: 0.0016
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:14:14 (0.512 s / it)
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:14:14 (0.512 s / it)
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:14:14 (0.512 s / it)
[11-25 10:55:23] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.569 (6.591), Lt: 5.826 (5.851), Acc m&t: 3.20 5.05, Remain: 22:11:43, Finish: 2024-11-25 17:07
[11-25 10:55:23] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.569 (6.591), Lt: 5.826 (5.851), Acc m&t: 3.20 5.05, Remain: 22:12:53, Finish: 2024-11-25 17:08
[11-25 10:55:23] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.569 (6.591), Lt: 5.826 (5.851), Acc m&t: 3.20 5.05, Remain: 22:12:17, Finish: 2024-11-25 17:07
[11-25 10:55:23] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.569 (6.591), Lt: 5.826 (5.851), Acc m&t: 3.20 5.05, Remain: 22:11:57, Finish: 2024-11-25 17:07
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:12:55 tlr: 7.2e-05 tnm: 0.47 Lm: 6.554 (6.554) Lt: 5.836 (5.836) Accm: 3.61 (3.61) Acct: 5.30 (5.30) proj_loss: -0.5951 (-0.5951) time: 0.4644 data: 0.0003
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:12:55 tlr: 7.2e-05 tnm: 0.47 Lm: 6.643 (6.643) Lt: 5.937 (5.937) Accm: 2.96 (2.96) Acct: 4.49 (4.49) proj_loss: -0.6019 (-0.6019) time: 0.4647 data: 0.0004
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:12:54 tlr: 7.2e-05 tnm: 0.47 Lm: 6.681 (6.681) Lt: 5.974 (5.974) Accm: 2.72 (2.72) Acct: 4.37 (4.37) proj_loss: -0.5900 (-0.5900) time: 0.4643 data: 0.0004
[11-25 10:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:12:54 tlr: 7.2e-05 tnm: 0.47 Lm: 6.580 (6.580) Lt: 5.872 (5.872) Accm: 3.15 (3.15) Acct: 5.03 (5.03) proj_loss: -0.6004 (-0.6004) time: 0.4638 data: 0.0003
[11-25 10:58:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:10:19 tlr: 7.2e-05 tnm: 0.49 Lm: 6.554 (6.554) Lt: 5.872 (5.872) Accm: 3.16 (3.16) Acct: 4.97 (4.97) proj_loss: -0.6051 (-0.6051) time: 0.4917 data: 0.0003
[11-25 10:58:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:10:19 tlr: 7.2e-05 tnm: 0.49 Lm: 6.510 (6.510) Lt: 5.751 (5.751) Accm: 3.24 (3.24) Acct: 5.26 (5.26) proj_loss: -0.5931 (-0.5931) time: 0.4917 data: 0.0003
[11-25 10:58:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:10:19 tlr: 7.2e-05 tnm: 0.49 Lm: 6.655 (6.655) Lt: 5.961 (5.961) Accm: 2.97 (2.97) Acct: 4.73 (4.73) proj_loss: -0.6093 (-0.6093) time: 0.4917 data: 0.0003
[11-25 10:58:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:10:19 tlr: 7.2e-05 tnm: 0.49 Lm: 6.648 (6.648) Lt: 5.942 (5.942) Accm: 3.05 (3.05) Acct: 4.51 (4.51) proj_loss: -0.5924 (-0.5924) time: 0.4917 data: 0.0003
[11-25 11:02:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:06:57 tlr: 7.2e-05 tnm: 0.46 Lm: 6.554 (6.607) Lt: 5.847 (5.910) Accm: 3.12 (3.07) Acct: 4.91 (4.64) proj_loss: -0.5951 (-0.5984) time: 0.4916 data: 0.0003
[11-25 11:02:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:06:57 tlr: 7.2e-05 tnm: 0.46 Lm: 6.580 (6.587) Lt: 5.872 (5.898) Accm: 3.15 (3.13) Acct: 4.91 (4.87) proj_loss: -0.6004 (-0.6005) time: 0.4916 data: 0.0003
[11-25 11:02:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:06:57 tlr: 7.2e-05 tnm: 0.46 Lm: 6.643 (6.572) Lt: 5.937 (5.848) Accm: 2.97 (3.23) Acct: 4.96 (5.19) proj_loss: -0.6128 (-0.6105) time: 0.4916 data: 0.0003
[11-25 11:02:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:06:57 tlr: 7.2e-05 tnm: 0.46 Lm: 6.615 (6.545) Lt: 5.884 (5.796) Accm: 3.05 (3.18) Acct: 4.73 (5.08) proj_loss: -0.5905 (-0.5922) time: 0.4916 data: 0.0004
[11-25 11:05:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:03:30 tlr: 7.2e-05 tnm: 0.47 Lm: 6.543 (6.527) Lt: 5.789 (5.770) Accm: 3.31 (3.28) Acct: 5.18 (5.22) proj_loss: -0.5902 (-0.5912) time: 0.4909 data: 0.0003
[11-25 11:05:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:03:30 tlr: 7.2e-05 tnm: 0.47 Lm: 6.594 (6.614) Lt: 5.856 (5.899) Accm: 3.17 (3.11) Acct: 5.04 (4.77) proj_loss: -0.5924 (-0.5941) time: 0.4909 data: 0.0003
[11-25 11:05:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:03:30 tlr: 7.2e-05 tnm: 0.47 Lm: 6.554 (6.556) Lt: 5.872 (5.873) Accm: 3.16 (3.19) Acct: 4.96 (4.90) proj_loss: -0.5958 (-0.5969) time: 0.4910 data: 0.0003
[11-25 11:05:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:03:30 tlr: 7.2e-05 tnm: 0.47 Lm: 6.574 (6.556) Lt: 5.850 (5.827) Accm: 3.21 (3.28) Acct: 5.24 (5.28) proj_loss: -0.6148 (-0.6123) time: 0.4910 data: 0.0003
[11-25 11:09:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.47 Lm: 6.643 (6.574) Lt: 5.889 (5.839) Accm: 3.13 (3.25) Acct: 4.96 (5.18) proj_loss: -0.6128 (-0.6115) time: 0.5427 data: 0.0016
[11-25 11:09:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:14:06 (0.507 s / it)
[11-25 11:09:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.47 Lm: 6.564 (6.534) Lt: 5.878 (5.791) Accm: 3.38 (3.30) Acct: 5.46 (5.27) proj_loss: -0.5905 (-0.5940) time: 0.5427 data: 0.0017
[11-25 11:09:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.47 Lm: 6.634 (6.637) Lt: 5.866 (5.921) Accm: 3.12 (3.02) Acct: 4.91 (4.61) proj_loss: -0.5917 (-0.5937) time: 0.5427 data: 0.0021
[11-25 11:09:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.47 Lm: 6.568 (6.559) Lt: 5.872 (5.875) Accm: 3.16 (3.20) Acct: 5.01 (4.95) proj_loss: -0.6004 (-0.5993) time: 0.5427 data: 0.0023
[11-25 11:09:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:14:06 (0.507 s / it)
[11-25 11:09:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:14:06 (0.507 s / it)
[11-25 11:09:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:14:06 (0.507 s / it)
[11-25 11:09:29] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.569 (6.573), Lt: 5.826 (5.837), Acc m&t: 3.20 5.05, Remain: 21:57:36, Finish: 2024-11-25 17:07
[11-25 11:09:29] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.569 (6.573), Lt: 5.826 (5.837), Acc m&t: 3.20 5.05, Remain: 21:57:34, Finish: 2024-11-25 17:07
[11-25 11:09:29] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.569 (6.573), Lt: 5.826 (5.837), Acc m&t: 3.20 5.05, Remain: 21:57:54, Finish: 2024-11-25 17:07
[11-25 11:09:29] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.569 (6.573), Lt: 5.826 (5.837), Acc m&t: 3.20 5.05, Remain: 21:58:15, Finish: 2024-11-25 17:07
[11-25 11:09:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:13:05 tlr: 7.2e-05 tnm: 0.47 Lm: 6.490 (6.490) Lt: 5.731 (5.731) Accm: 3.32 (3.32) Acct: 5.23 (5.23) proj_loss: -0.5940 (-0.5940) time: 0.4704 data: 0.0004
[11-25 11:09:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:13:06 tlr: 7.2e-05 tnm: 0.47 Lm: 6.740 (6.740) Lt: 6.033 (6.033) Accm: 2.65 (2.65) Acct: 4.10 (4.10) proj_loss: -0.5746 (-0.5746) time: 0.4711 data: 0.0004
[11-25 11:09:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:12:56 tlr: 7.2e-05 tnm: 0.47 Lm: 6.652 (6.652) Lt: 5.939 (5.939) Accm: 3.20 (3.20) Acct: 5.01 (5.01) proj_loss: -0.6079 (-0.6079) time: 0.4652 data: 0.0004
[11-25 11:09:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:13:05 tlr: 7.2e-05 tnm: 0.47 Lm: 6.310 (6.310) Lt: 5.547 (5.547) Accm: 4.13 (4.13) Acct: 6.46 (6.46) proj_loss: -0.6123 (-0.6123) time: 0.4707 data: 0.0003
[11-25 11:13:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:10:51 tlr: 7.1e-05 tnm: 0.47 Lm: 6.483 (6.483) Lt: 5.743 (5.743) Accm: 3.61 (3.61) Acct: 5.61 (5.61) proj_loss: -0.6085 (-0.6085) time: 0.4915 data: 0.0003
[11-25 11:13:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:10:51 tlr: 7.1e-05 tnm: 0.47 Lm: 6.571 (6.571) Lt: 5.842 (5.842) Accm: 3.14 (3.14) Acct: 5.07 (5.07) proj_loss: -0.5974 (-0.5974) time: 0.4915 data: 0.0003
[11-25 11:13:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:10:51 tlr: 7.1e-05 tnm: 0.47 Lm: 6.694 (6.694) Lt: 5.988 (5.988) Accm: 2.87 (2.87) Acct: 4.46 (4.46) proj_loss: -0.5831 (-0.5831) time: 0.4915 data: 0.0003
[11-25 11:13:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:10:51 tlr: 7.1e-05 tnm: 0.47 Lm: 6.579 (6.579) Lt: 5.868 (5.868) Accm: 3.23 (3.23) Acct: 5.01 (5.01) proj_loss: -0.6029 (-0.6029) time: 0.4915 data: 0.0003
[11-25 11:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:07:02 tlr: 7.1e-05 tnm: 0.49 Lm: 6.652 (6.618) Lt: 5.939 (5.914) Accm: 3.20 (3.09) Acct: 5.01 (4.75) proj_loss: -0.5980 (-0.5982) time: 0.4913 data: 0.0003
[11-25 11:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:07:02 tlr: 7.1e-05 tnm: 0.49 Lm: 6.620 (6.587) Lt: 5.879 (5.854) Accm: 3.24 (3.17) Acct: 5.11 (5.08) proj_loss: -0.6009 (-0.6036) time: 0.4913 data: 0.0003
[11-25 11:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:07:02 tlr: 7.1e-05 tnm: 0.49 Lm: 6.494 (6.487) Lt: 5.737 (5.741) Accm: 3.60 (3.60) Acct: 5.35 (5.53) proj_loss: -0.6047 (-0.6002) time: 0.4913 data: 0.0003
[11-25 11:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:07:02 tlr: 7.1e-05 tnm: 0.49 Lm: 6.685 (6.691) Lt: 5.989 (5.988) Accm: 2.88 (2.87) Acct: 4.44 (4.45) proj_loss: -0.5916 (-0.5959) time: 0.4913 data: 0.0003
[11-25 11:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:03:30 tlr: 7.1e-05 tnm: 0.47 Lm: 6.666 (6.654) Lt: 5.966 (5.954) Accm: 2.99 (2.97) Acct: 4.55 (4.50) proj_loss: -0.5932 (-0.5956) time: 0.4923 data: 0.0003
[11-25 11:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:03:30 tlr: 7.1e-05 tnm: 0.47 Lm: 6.636 (6.617) Lt: 5.916 (5.881) Accm: 3.10 (3.09) Acct: 5.01 (4.93) proj_loss: -0.5974 (-0.5985) time: 0.4923 data: 0.0003
[11-25 11:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:03:30 tlr: 7.1e-05 tnm: 0.47 Lm: 6.541 (6.512) Lt: 5.810 (5.776) Accm: 3.34 (3.42) Acct: 5.06 (5.28) proj_loss: -0.6085 (-0.6036) time: 0.4923 data: 0.0003
[11-25 11:19:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:03:30 tlr: 7.1e-05 tnm: 0.47 Lm: 6.674 (6.648) Lt: 5.970 (5.935) Accm: 3.04 (3.04) Acct: 4.79 (4.70) proj_loss: -0.6018 (-0.6001) time: 0.4923 data: 0.0003
[11-25 11:23:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.47 Lm: 6.652 (6.631) Lt: 5.939 (5.908) Accm: 3.20 (3.11) Acct: 5.01 (4.81) proj_loss: -0.5980 (-0.5972) time: 0.4906 data: 0.0016
[11-25 11:23:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:13:55 (0.501 s / it)
[11-25 11:23:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.47 Lm: 6.620 (6.574) Lt: 5.879 (5.832) Accm: 3.24 (3.19) Acct: 5.11 (5.07) proj_loss: -0.6009 (-0.6012) time: 0.4906 data: 0.0013
[11-25 11:23:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.47 Lm: 6.549 (6.519) Lt: 5.785 (5.778) Accm: 3.60 (3.46) Acct: 5.35 (5.37) proj_loss: -0.6123 (-0.6060) time: 0.4906 data: 0.0017
[11-25 11:23:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.47 Lm: 6.648 (6.645) Lt: 5.942 (5.944) Accm: 3.03 (2.98) Acct: 4.65 (4.56) proj_loss: -0.5949 (-0.5981) time: 0.4907 data: 0.0016
[11-25 11:23:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:13:55 (0.501 s / it)
[11-25 11:23:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:13:55 (0.501 s / it)
[11-25 11:23:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:13:55 (0.501 s / it)
[11-25 11:23:25] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.569 (6.590), Lt: 5.826 (5.850), Acc m&t: 3.20 5.05, Remain: 21:36:10, Finish: 2024-11-25 16:59
[11-25 11:23:25] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.569 (6.590), Lt: 5.826 (5.850), Acc m&t: 3.20 5.05, Remain: 21:35:26, Finish: 2024-11-25 16:58
[11-25 11:23:25] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.569 (6.590), Lt: 5.826 (5.850), Acc m&t: 3.20 5.05, Remain: 21:35:00, Finish: 2024-11-25 16:58
[11-25 11:23:25] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.569 (6.590), Lt: 5.826 (5.850), Acc m&t: 3.20 5.05, Remain: 21:35:01, Finish: 2024-11-25 16:58
[11-25 11:23:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:13:35 tlr: 7.1e-05 tnm: 0.46 Lm: 6.400 (6.400) Lt: 5.672 (5.672) Accm: 3.58 (3.58) Acct: 5.53 (5.53) proj_loss: -0.6155 (-0.6155) time: 0.4885 data: 0.0003
[11-25 11:23:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:13:35 tlr: 7.1e-05 tnm: 0.46 Lm: 6.346 (6.346) Lt: 5.563 (5.563) Accm: 3.83 (3.83) Acct: 6.32 (6.32) proj_loss: -0.5789 (-0.5789) time: 0.4887 data: 0.0003
[11-25 11:23:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:13:35 tlr: 7.1e-05 tnm: 0.46 Lm: 6.680 (6.680) Lt: 6.025 (6.025) Accm: 2.88 (2.88) Acct: 4.37 (4.37) proj_loss: -0.6323 (-0.6323) time: 0.4889 data: 0.0004
[11-25 11:23:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:13:35 tlr: 7.1e-05 tnm: 0.46 Lm: 6.693 (6.693) Lt: 5.869 (5.869) Accm: 2.68 (2.68) Acct: 4.53 (4.53) proj_loss: -0.5789 (-0.5789) time: 0.4888 data: 0.0004
[11-25 11:27:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:10:47 tlr: 7.1e-05 tnm: 0.49 Lm: 6.633 (6.633) Lt: 5.862 (5.862) Accm: 2.90 (2.90) Acct: 4.67 (4.67) proj_loss: -0.5784 (-0.5784) time: 0.4905 data: 0.0003
[11-25 11:27:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:10:47 tlr: 7.1e-05 tnm: 0.49 Lm: 6.363 (6.363) Lt: 5.589 (5.589) Accm: 3.78 (3.78) Acct: 6.14 (6.14) proj_loss: -0.5939 (-0.5939) time: 0.4905 data: 0.0004
[11-25 11:27:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:10:47 tlr: 7.1e-05 tnm: 0.49 Lm: 6.620 (6.620) Lt: 5.899 (5.899) Accm: 3.15 (3.15) Acct: 5.07 (5.07) proj_loss: -0.6068 (-0.6068) time: 0.4905 data: 0.0003
[11-25 11:27:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:10:47 tlr: 7.1e-05 tnm: 0.49 Lm: 6.453 (6.453) Lt: 5.706 (5.706) Accm: 3.37 (3.37) Acct: 5.28 (5.28) proj_loss: -0.6107 (-0.6107) time: 0.4905 data: 0.0003
[11-25 11:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:07:19 tlr: 7.1e-05 tnm: 0.47 Lm: 6.507 (6.545) Lt: 5.741 (5.810) Accm: 3.16 (3.26) Acct: 5.03 (5.07) proj_loss: -0.6155 (-0.6138) time: 0.4909 data: 0.0003
[11-25 11:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:07:19 tlr: 7.1e-05 tnm: 0.47 Lm: 6.381 (6.450) Lt: 5.616 (5.698) Accm: 3.72 (3.56) Acct: 5.96 (5.69) proj_loss: -0.6089 (-0.5999) time: 0.4909 data: 0.0003
[11-25 11:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:07:19 tlr: 7.1e-05 tnm: 0.47 Lm: 6.559 (6.596) Lt: 5.813 (5.870) Accm: 3.21 (3.17) Acct: 5.10 (5.08) proj_loss: -0.6174 (-0.6103) time: 0.4910 data: 0.0003
[11-25 11:30:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:07:19 tlr: 7.1e-05 tnm: 0.47 Lm: 6.673 (6.647) Lt: 5.869 (5.881) Accm: 2.80 (2.87) Acct: 4.67 (4.67) proj_loss: -0.5789 (-0.5817) time: 0.4909 data: 0.0003
[11-25 11:34:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:03:37 tlr: 7e-05 tnm: 0.46 Lm: 6.650 (6.642) Lt: 5.863 (5.875) Accm: 2.96 (2.93) Acct: 4.74 (4.75) proj_loss: -0.5823 (-0.5827) time: 0.4927 data: 0.0003
[11-25 11:34:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:03:37 tlr: 7e-05 tnm: 0.46 Lm: 6.502 (6.494) Lt: 5.743 (5.741) Accm: 3.46 (3.47) Acct: 5.66 (5.60) proj_loss: -0.6040 (-0.5997) time: 0.4927 data: 0.0003
[11-25 11:34:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:03:37 tlr: 7e-05 tnm: 0.46 Lm: 6.553 (6.556) Lt: 5.793 (5.843) Accm: 3.31 (3.29) Acct: 5.15 (5.11) proj_loss: -0.6175 (-0.6121) time: 0.4927 data: 0.0003
[11-25 11:34:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:03:37 tlr: 7e-05 tnm: 0.46 Lm: 6.614 (6.589) Lt: 5.879 (5.869) Accm: 3.10 (3.15) Acct: 4.84 (4.90) proj_loss: -0.6107 (-0.6105) time: 0.4927 data: 0.0003
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.47 Lm: 6.538 (6.579) Lt: 5.754 (5.846) Accm: 3.16 (3.21) Acct: 5.03 (5.04) proj_loss: -0.6060 (-0.6081) time: 0.4872 data: 0.0019
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:14:14 (0.512 s / it)
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.47 Lm: 6.624 (6.526) Lt: 5.870 (5.769) Accm: 3.19 (3.35) Acct: 5.35 (5.35) proj_loss: -0.5991 (-0.5955) time: 0.4872 data: 0.0019
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.47 Lm: 6.656 (6.644) Lt: 5.869 (5.887) Accm: 2.96 (2.94) Acct: 4.67 (4.73) proj_loss: -0.5857 (-0.5864) time: 0.4872 data: 0.0016
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.47 Lm: 6.559 (6.585) Lt: 5.813 (5.870) Accm: 3.21 (3.24) Acct: 5.10 (5.05) proj_loss: -0.6174 (-0.6115) time: 0.4872 data: 0.0020
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:14:14 (0.512 s / it)
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:14:14 (0.512 s / it)
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:14:14 (0.512 s / it)
[11-25 11:37:40] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.569 (6.585), Lt: 5.826 (5.847), Acc m&t: 3.20 5.05, Remain: 21:13:47, Finish: 2024-11-25 16:51
[11-25 11:37:40] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.569 (6.585), Lt: 5.826 (5.847), Acc m&t: 3.20 5.05, Remain: 21:14:01, Finish: 2024-11-25 16:51
[11-25 11:37:40] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.569 (6.585), Lt: 5.826 (5.847), Acc m&t: 3.20 5.05, Remain: 21:13:27, Finish: 2024-11-25 16:51
[11-25 11:37:40] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.569 (6.585), Lt: 5.826 (5.847), Acc m&t: 3.20 5.05, Remain: 21:13:41, Finish: 2024-11-25 16:51
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:13:16 tlr: 7e-05 tnm: 0.48 Lm: 6.660 (6.660) Lt: 5.990 (5.990) Accm: 3.12 (3.12) Acct: 5.01 (5.01) proj_loss: -0.5890 (-0.5890) time: 0.4771 data: 0.0003
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:13:15 tlr: 7e-05 tnm: 0.48 Lm: 6.536 (6.536) Lt: 5.766 (5.766) Accm: 3.33 (3.33) Acct: 4.94 (4.94) proj_loss: -0.5880 (-0.5880) time: 0.4764 data: 0.0004
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:13:12 tlr: 7e-05 tnm: 0.48 Lm: 6.620 (6.620) Lt: 5.864 (5.864) Accm: 3.23 (3.23) Acct: 5.41 (5.41) proj_loss: -0.5910 (-0.5910) time: 0.4746 data: 0.0004
[11-25 11:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:13:15 tlr: 7e-05 tnm: 0.48 Lm: 6.574 (6.574) Lt: 5.844 (5.844) Accm: 3.11 (3.11) Acct: 4.89 (4.89) proj_loss: -0.6016 (-0.6016) time: 0.4768 data: 0.0004
[11-25 11:41:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:10:12 tlr: 7e-05 tnm: 0.47 Lm: 6.652 (6.652) Lt: 5.924 (5.924) Accm: 2.89 (2.89) Acct: 4.64 (4.64) proj_loss: -0.5978 (-0.5978) time: 0.4908 data: 0.0003
[11-25 11:41:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:10:12 tlr: 7e-05 tnm: 0.47 Lm: 6.577 (6.577) Lt: 5.851 (5.851) Accm: 3.15 (3.15) Acct: 4.71 (4.71) proj_loss: -0.5974 (-0.5974) time: 0.4908 data: 0.0003
[11-25 11:41:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:10:12 tlr: 7e-05 tnm: 0.47 Lm: 6.605 (6.605) Lt: 5.903 (5.903) Accm: 3.12 (3.12) Acct: 4.95 (4.95) proj_loss: -0.5976 (-0.5976) time: 0.4908 data: 0.0002
[11-25 11:41:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:10:12 tlr: 7e-05 tnm: 0.47 Lm: 6.578 (6.578) Lt: 5.795 (5.795) Accm: 3.42 (3.42) Acct: 5.62 (5.62) proj_loss: -0.6064 (-0.6064) time: 0.4908 data: 0.0003
[11-25 11:44:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:06:58 tlr: 7e-05 tnm: 0.49 Lm: 6.535 (6.559) Lt: 5.738 (5.776) Accm: 3.45 (3.43) Acct: 5.53 (5.59) proj_loss: -0.6102 (-0.6077) time: 0.4927 data: 0.0003
[11-25 11:44:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:06:58 tlr: 7e-05 tnm: 0.49 Lm: 6.729 (6.688) Lt: 6.005 (5.969) Accm: 2.67 (2.81) Acct: 4.39 (4.51) proj_loss: -0.5939 (-0.5924) time: 0.4927 data: 0.0002
[11-25 11:44:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:06:58 tlr: 7e-05 tnm: 0.49 Lm: 6.660 (6.629) Lt: 5.990 (5.933) Accm: 3.12 (3.03) Acct: 4.89 (4.80) proj_loss: -0.6020 (-0.5990) time: 0.4927 data: 0.0003
[11-25 11:44:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:06:58 tlr: 7e-05 tnm: 0.49 Lm: 6.618 (6.595) Lt: 5.825 (5.842) Accm: 3.12 (3.14) Acct: 4.94 (4.88) proj_loss: -0.5880 (-0.5899) time: 0.4927 data: 0.0003
[11-25 11:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:03:31 tlr: 7e-05 tnm: 0.51 Lm: 6.577 (6.559) Lt: 5.796 (5.818) Accm: 3.22 (3.28) Acct: 5.09 (5.10) proj_loss: -0.5974 (-0.5969) time: 0.4916 data: 0.0003
[11-25 11:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:03:31 tlr: 7e-05 tnm: 0.51 Lm: 6.661 (6.664) Lt: 5.924 (5.931) Accm: 2.89 (2.90) Acct: 4.64 (4.69) proj_loss: -0.5928 (-0.5922) time: 0.4916 data: 0.0003
[11-25 11:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:03:31 tlr: 7e-05 tnm: 0.51 Lm: 6.578 (6.581) Lt: 5.801 (5.807) Accm: 3.34 (3.33) Acct: 5.47 (5.35) proj_loss: -0.6076 (-0.6070) time: 0.4916 data: 0.0003
[11-25 11:48:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:03:31 tlr: 7e-05 tnm: 0.51 Lm: 6.605 (6.607) Lt: 5.906 (5.905) Accm: 3.02 (3.00) Acct: 4.75 (4.76) proj_loss: -0.6039 (-0.6007) time: 0.4916 data: 0.0003
[11-25 11:51:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.660 (6.635) Lt: 5.990 (5.944) Accm: 2.91 (2.92) Acct: 4.61 (4.65) proj_loss: -0.6020 (-0.6008) time: 0.5938 data: 0.0020
[11-25 11:51:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:14:12 (0.511 s / it)
[11-25 11:51:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.620 (6.590) Lt: 5.864 (5.820) Accm: 3.23 (3.25) Acct: 5.41 (5.19) proj_loss: -0.6102 (-0.6101) time: 0.5938 data: 0.0016
[11-25 11:51:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.618 (6.597) Lt: 5.825 (5.866) Accm: 3.12 (3.16) Acct: 4.94 (4.95) proj_loss: -0.5880 (-0.5939) time: 0.5938 data: 0.0016
[11-25 11:51:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.593 (6.637) Lt: 5.844 (5.904) Accm: 3.11 (3.01) Acct: 4.89 (4.88) proj_loss: -0.5939 (-0.5958) time: 0.5938 data: 0.0018
[11-25 11:51:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:14:12 (0.511 s / it)
[11-25 11:51:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:14:12 (0.511 s / it)
[11-25 11:51:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:14:12 (0.511 s / it)
[11-25 11:51:52] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.569 (6.581), Lt: 5.826 (5.841), Acc m&t: 3.20 5.05, Remain: 21:10:12, Finish: 2024-11-25 17:02
[11-25 11:51:52] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.569 (6.581), Lt: 5.826 (5.841), Acc m&t: 3.20 5.05, Remain: 21:09:38, Finish: 2024-11-25 17:01
[11-25 11:51:52] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.569 (6.581), Lt: 5.826 (5.841), Acc m&t: 3.20 5.05, Remain: 21:09:41, Finish: 2024-11-25 17:01
[11-25 11:51:52] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.569 (6.581), Lt: 5.826 (5.841), Acc m&t: 3.20 5.05, Remain: 21:09:41, Finish: 2024-11-25 17:01
[11-25 11:51:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:13:33 tlr: 6.9e-05 tnm: 0.49 Lm: 6.598 (6.598) Lt: 5.808 (5.808) Accm: 3.02 (3.02) Acct: 5.15 (5.15) proj_loss: -0.5702 (-0.5702) time: 0.4875 data: 0.0003
[11-25 11:51:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:13:33 tlr: 6.9e-05 tnm: 0.49 Lm: 6.518 (6.518) Lt: 5.785 (5.785) Accm: 3.26 (3.26) Acct: 5.11 (5.11) proj_loss: -0.5886 (-0.5886) time: 0.4876 data: 0.0004
[11-25 11:51:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:13:33 tlr: 6.9e-05 tnm: 0.49 Lm: 6.598 (6.598) Lt: 5.837 (5.837) Accm: 3.21 (3.21) Acct: 4.96 (4.96) proj_loss: -0.6018 (-0.6018) time: 0.4871 data: 0.0004
[11-25 11:51:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:13:34 tlr: 6.9e-05 tnm: 0.49 Lm: 6.562 (6.562) Lt: 5.833 (5.833) Accm: 3.32 (3.32) Acct: 5.08 (5.08) proj_loss: -0.6145 (-0.6145) time: 0.4879 data: 0.0004
[11-25 11:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:10:31 tlr: 6.9e-05 tnm: 0.47 Lm: 6.631 (6.631) Lt: 5.915 (5.915) Accm: 3.02 (3.02) Acct: 4.61 (4.61) proj_loss: -0.6047 (-0.6047) time: 0.4922 data: 0.0003
[11-25 11:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:10:31 tlr: 6.9e-05 tnm: 0.47 Lm: 6.617 (6.617) Lt: 5.836 (5.836) Accm: 2.90 (2.90) Acct: 4.67 (4.67) proj_loss: -0.5826 (-0.5826) time: 0.4922 data: 0.0003
[11-25 11:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:10:31 tlr: 6.9e-05 tnm: 0.47 Lm: 6.597 (6.597) Lt: 5.889 (5.889) Accm: 3.17 (3.17) Acct: 4.97 (4.97) proj_loss: -0.6001 (-0.6001) time: 0.4923 data: 0.0003
[11-25 11:55:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:10:31 tlr: 6.9e-05 tnm: 0.47 Lm: 6.576 (6.576) Lt: 5.868 (5.868) Accm: 3.16 (3.16) Acct: 4.83 (4.83) proj_loss: -0.5882 (-0.5882) time: 0.4922 data: 0.0003
[11-25 11:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:06:55 tlr: 6.9e-05 tnm: 0.48 Lm: 6.592 (6.582) Lt: 5.873 (5.870) Accm: 3.19 (3.17) Acct: 5.10 (4.92) proj_loss: -0.5886 (-0.5958) time: 0.4906 data: 0.0003
[11-25 11:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:06:55 tlr: 6.9e-05 tnm: 0.48 Lm: 6.630 (6.621) Lt: 5.863 (5.855) Accm: 2.96 (2.92) Acct: 4.58 (4.64) proj_loss: -0.5826 (-0.5826) time: 0.4906 data: 0.0003
[11-25 11:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:06:55 tlr: 6.9e-05 tnm: 0.48 Lm: 6.701 (6.688) Lt: 5.996 (5.985) Accm: 2.72 (2.89) Acct: 4.13 (4.40) proj_loss: -0.5985 (-0.6026) time: 0.4906 data: 0.0003
[11-25 11:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:06:55 tlr: 6.9e-05 tnm: 0.48 Lm: 6.598 (6.632) Lt: 5.941 (5.931) Accm: 3.13 (3.05) Acct: 4.96 (4.74) proj_loss: -0.6018 (-0.6034) time: 0.4906 data: 0.0003
[11-25 12:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:03:27 tlr: 6.9e-05 tnm: 0.48 Lm: 6.631 (6.647) Lt: 5.915 (5.938) Accm: 3.02 (3.00) Acct: 4.61 (4.61) proj_loss: -0.5967 (-0.5955) time: 0.4889 data: 0.0003
[11-25 12:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:03:27 tlr: 6.9e-05 tnm: 0.48 Lm: 6.614 (6.578) Lt: 5.836 (5.823) Accm: 2.99 (3.14) Acct: 4.86 (4.98) proj_loss: -0.5888 (-0.5872) time: 0.4889 data: 0.0003
[11-25 12:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:03:27 tlr: 6.9e-05 tnm: 0.48 Lm: 6.555 (6.532) Lt: 5.829 (5.800) Accm: 3.23 (3.29) Acct: 5.11 (5.16) proj_loss: -0.5957 (-0.5976) time: 0.4889 data: 0.0002
[11-25 12:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:03:27 tlr: 6.9e-05 tnm: 0.48 Lm: 6.597 (6.593) Lt: 5.889 (5.865) Accm: 3.17 (3.13) Acct: 4.97 (4.94) proj_loss: -0.6001 (-0.5945) time: 0.4889 data: 0.0003
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.595 (6.584) Lt: 5.837 (5.851) Accm: 3.21 (3.16) Acct: 4.98 (4.97) proj_loss: -0.5984 (-0.5930) time: 0.4921 data: 0.0020
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:13:51 (0.498 s / it)
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.564 (6.538) Lt: 5.873 (5.816) Accm: 3.26 (3.33) Acct: 5.11 (5.18) proj_loss: -0.6028 (-0.6030) time: 0.4921 data: 0.0017
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.598 (6.569) Lt: 5.808 (5.811) Accm: 3.02 (3.22) Acct: 5.15 (5.06) proj_loss: -0.5931 (-0.5884) time: 0.4921 data: 0.0013
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.49 Lm: 6.562 (6.619) Lt: 5.833 (5.910) Accm: 3.32 (3.12) Acct: 5.08 (4.81) proj_loss: -0.5985 (-0.5980) time: 0.4921 data: 0.0016
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:13:51 (0.498 s / it)
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:13:51 (0.498 s / it)
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:13:51 (0.498 s / it)
[11-25 12:05:44] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.568 (6.568), Lt: 5.825 (5.825), Acc m&t: 3.21 5.05, Remain: 20:59:05, Finish: 2024-11-25 17:04
[11-25 12:05:44] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.568 (6.568), Lt: 5.825 (5.825), Acc m&t: 3.21 5.05, Remain: 20:58:59, Finish: 2024-11-25 17:04
[11-25 12:05:44] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.568 (6.568), Lt: 5.825 (5.825), Acc m&t: 3.21 5.05, Remain: 20:59:10, Finish: 2024-11-25 17:04
[11-25 12:05:44] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.568 (6.568), Lt: 5.825 (5.825), Acc m&t: 3.21 5.05, Remain: 20:59:03, Finish: 2024-11-25 17:04
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:13:18 tlr: 6.9e-05 tnm: 0.49 Lm: 6.645 (6.645) Lt: 5.947 (5.947) Accm: 3.00 (3.00) Acct: 4.49 (4.49) proj_loss: -0.5898 (-0.5898) time: 0.4783 data: 0.0004
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:13:19 tlr: 6.9e-05 tnm: 0.49 Lm: 6.516 (6.516) Lt: 5.759 (5.759) Accm: 3.50 (3.50) Acct: 5.66 (5.66) proj_loss: -0.5766 (-0.5766) time: 0.4788 data: 0.0004
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:13:18 tlr: 6.9e-05 tnm: 0.49 Lm: 6.488 (6.488) Lt: 5.737 (5.737) Accm: 3.50 (3.50) Acct: 5.66 (5.66) proj_loss: -0.5875 (-0.5875) time: 0.4786 data: 0.0003
[11-25 12:05:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:13:19 tlr: 6.9e-05 tnm: 0.49 Lm: 6.615 (6.615) Lt: 5.932 (5.932) Accm: 3.23 (3.23) Acct: 4.75 (4.75) proj_loss: -0.5857 (-0.5857) time: 0.4788 data: 0.0004
[11-25 12:09:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:11:04 tlr: 6.9e-05 tnm: 0.49 Lm: 6.541 (6.541) Lt: 5.832 (5.832) Accm: 3.36 (3.36) Acct: 4.95 (4.95) proj_loss: -0.5994 (-0.5994) time: 0.5941 data: 0.0003
[11-25 12:09:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:11:04 tlr: 6.9e-05 tnm: 0.49 Lm: 6.618 (6.618) Lt: 5.885 (5.885) Accm: 3.08 (3.08) Acct: 4.80 (4.80) proj_loss: -0.6016 (-0.6016) time: 0.5941 data: 0.0003
[11-25 12:09:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:11:04 tlr: 6.9e-05 tnm: 0.49 Lm: 6.515 (6.515) Lt: 5.797 (5.797) Accm: 3.45 (3.45) Acct: 5.44 (5.44) proj_loss: -0.6021 (-0.6021) time: 0.5941 data: 0.0003
[11-25 12:09:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:11:04 tlr: 6.9e-05 tnm: 0.49 Lm: 6.611 (6.611) Lt: 5.837 (5.837) Accm: 3.12 (3.12) Acct: 4.98 (4.98) proj_loss: -0.5852 (-0.5852) time: 0.5942 data: 0.0003
[11-25 12:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:07:17 tlr: 6.8e-05 tnm: 0.49 Lm: 6.583 (6.602) Lt: 5.843 (5.839) Accm: 3.07 (3.10) Acct: 4.53 (4.83) proj_loss: -0.5937 (-0.5953) time: 0.5375 data: 0.0003
[11-25 12:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:07:17 tlr: 6.8e-05 tnm: 0.49 Lm: 6.519 (6.516) Lt: 5.763 (5.786) Accm: 3.39 (3.42) Acct: 5.22 (5.33) proj_loss: -0.5946 (-0.5996) time: 0.5375 data: 0.0003
[11-25 12:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:07:17 tlr: 6.8e-05 tnm: 0.49 Lm: 6.591 (6.606) Lt: 5.823 (5.856) Accm: 3.17 (3.18) Acct: 5.10 (4.98) proj_loss: -0.5907 (-0.5980) time: 0.5375 data: 0.0003
[11-25 12:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:07:17 tlr: 6.8e-05 tnm: 0.49 Lm: 6.615 (6.578) Lt: 5.915 (5.860) Accm: 3.23 (3.16) Acct: 4.75 (4.82) proj_loss: -0.6106 (-0.6032) time: 0.5375 data: 0.0003
[11-25 12:16:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:03:35 tlr: 6.8e-05 tnm: 0.48 Lm: 6.548 (6.554) Lt: 5.824 (5.826) Accm: 3.20 (3.17) Acct: 4.71 (4.78) proj_loss: -0.6109 (-0.6051) time: 0.4896 data: 0.0003
[11-25 12:16:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:03:35 tlr: 6.8e-05 tnm: 0.48 Lm: 6.645 (6.634) Lt: 5.879 (5.869) Accm: 2.95 (3.03) Acct: 4.50 (4.74) proj_loss: -0.5931 (-0.5946) time: 0.4896 data: 0.0003
[11-25 12:16:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:03:35 tlr: 6.8e-05 tnm: 0.48 Lm: 6.605 (6.609) Lt: 5.875 (5.874) Accm: 3.27 (3.24) Acct: 5.22 (5.07) proj_loss: -0.5990 (-0.6003) time: 0.4896 data: 0.0003
[11-25 12:16:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:03:35 tlr: 6.8e-05 tnm: 0.48 Lm: 6.531 (6.537) Lt: 5.810 (5.804) Accm: 3.38 (3.30) Acct: 5.16 (5.17) proj_loss: -0.5924 (-0.5973) time: 0.4896 data: 0.0003
[11-25 12:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-05 tnm: 0.50 Lm: 6.542 (6.551) Lt: 5.857 (5.822) Accm: 3.37 (3.23) Acct: 5.10 (5.01) proj_loss: -0.5946 (-0.6019) time: 0.4925 data: 0.0016
[11-25 12:19:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:14:08 (0.509 s / it)
[11-25 12:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-05 tnm: 0.50 Lm: 6.591 (6.596) Lt: 5.823 (5.852) Accm: 3.17 (3.22) Acct: 5.10 (5.00) proj_loss: -0.5907 (-0.5964) time: 0.4925 data: 0.0018
[11-25 12:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-05 tnm: 0.50 Lm: 6.583 (6.579) Lt: 5.843 (5.802) Accm: 3.07 (3.25) Acct: 4.53 (5.08) proj_loss: -0.5937 (-0.5965) time: 0.4925 data: 0.0018
[11-25 12:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-05 tnm: 0.50 Lm: 6.611 (6.565) Lt: 5.890 (5.839) Accm: 3.18 (3.17) Acct: 4.75 (4.80) proj_loss: -0.6106 (-0.6046) time: 0.4925 data: 0.0017
[11-25 12:19:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:14:08 (0.509 s / it)
[11-25 12:19:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:14:08 (0.509 s / it)
[11-25 12:19:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:14:08 (0.509 s / it)
[11-25 12:22:09] (home/user/VAR/trainer.py, line 114)=> FID: 3.478087277909708
[11-25 12:22:09] (/home/user/VAR/train.py , line 259)=> [*] [ep259] (val 50000) Lm: 6.5697, Lt: 5.8287, Acc m&t: 3.20 5.02, Val cost: 136.51s
[11-25 12:22:09] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 12:22:32] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.568 (6.570), Lt: 5.825 (5.829), Acc m&t: 3.21 5.05, Remain: 20:44:02, Finish: 2024-11-25 17:03
[11-25 12:22:32] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.568 (6.570), Lt: 5.825 (5.829), Acc m&t: 3.21 5.05, Remain: 20:43:29, Finish: 2024-11-25 17:03
[11-25 12:22:32] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.568 (6.570), Lt: 5.825 (5.829), Acc m&t: 3.21 5.05, Remain: 20:44:07, Finish: 2024-11-25 17:04
[11-25 12:22:32] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.568 (6.570), Lt: 5.825 (5.829), Acc m&t: 3.21 5.05, Remain: 20:43:21, Finish: 2024-11-25 17:03
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:13:14 tlr: 6.8e-05 tnm: 0.47 Lm: 6.615 (6.615) Lt: 5.885 (5.885) Accm: 3.29 (3.29) Acct: 5.22 (5.22) proj_loss: -0.6144 (-0.6144) time: 0.4761 data: 0.0004
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:13:12 tlr: 6.8e-05 tnm: 0.47 Lm: 6.542 (6.542) Lt: 5.866 (5.866) Accm: 3.34 (3.34) Acct: 4.68 (4.68) proj_loss: -0.6376 (-0.6376) time: 0.4750 data: 0.0003
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:13:13 tlr: 6.8e-05 tnm: 0.47 Lm: 6.525 (6.525) Lt: 5.738 (5.738) Accm: 3.26 (3.26) Acct: 5.18 (5.18) proj_loss: -0.6032 (-0.6032) time: 0.4754 data: 0.0003
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:13:27 tlr: 6.8e-05 tnm: 0.47 Lm: 6.624 (6.624) Lt: 5.924 (5.924) Accm: 2.68 (2.68) Acct: 4.22 (4.22) proj_loss: -0.5838 (-0.5838) time: 0.4841 data: 0.0004
[11-25 12:25:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:10:12 tlr: 6.8e-05 tnm: 0.49 Lm: 6.644 (6.644) Lt: 5.939 (5.939) Accm: 2.67 (2.67) Acct: 4.26 (4.26) proj_loss: -0.6056 (-0.6056) time: 0.4910 data: 0.0003
[11-25 12:25:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:10:12 tlr: 6.8e-05 tnm: 0.49 Lm: 6.496 (6.496) Lt: 5.773 (5.773) Accm: 3.46 (3.46) Acct: 5.07 (5.07) proj_loss: -0.6109 (-0.6109) time: 0.4910 data: 0.0003
[11-25 12:25:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:10:12 tlr: 6.8e-05 tnm: 0.49 Lm: 6.540 (6.540) Lt: 5.752 (5.752) Accm: 3.22 (3.22) Acct: 5.22 (5.22) proj_loss: -0.5957 (-0.5957) time: 0.4910 data: 0.0003
[11-25 12:25:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:10:12 tlr: 6.8e-05 tnm: 0.49 Lm: 6.589 (6.589) Lt: 5.829 (5.829) Accm: 3.13 (3.13) Acct: 5.00 (5.00) proj_loss: -0.5972 (-0.5972) time: 0.4910 data: 0.0003
[11-25 12:29:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:07:02 tlr: 6.8e-05 tnm: 0.50 Lm: 6.615 (6.619) Lt: 5.885 (5.863) Accm: 2.98 (3.02) Acct: 4.79 (4.83) proj_loss: -0.5957 (-0.5967) time: 0.4907 data: 0.0003
[11-25 12:29:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:07:02 tlr: 6.8e-05 tnm: 0.50 Lm: 6.555 (6.554) Lt: 5.766 (5.770) Accm: 3.21 (3.22) Acct: 5.18 (5.13) proj_loss: -0.5881 (-0.5914) time: 0.4907 data: 0.0003
[11-25 12:29:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:07:02 tlr: 6.8e-05 tnm: 0.50 Lm: 6.664 (6.658) Lt: 5.955 (5.949) Accm: 2.68 (2.75) Acct: 4.30 (4.40) proj_loss: -0.6074 (-0.6062) time: 0.4907 data: 0.0003
[11-25 12:29:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:07:02 tlr: 6.8e-05 tnm: 0.50 Lm: 6.534 (6.508) Lt: 5.777 (5.774) Accm: 3.34 (3.35) Acct: 4.89 (5.01) proj_loss: -0.5843 (-0.6019) time: 0.4907 data: 0.0003
[11-25 12:33:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:03:31 tlr: 6.7e-05 tnm: 0.49 Lm: 6.538 (6.530) Lt: 5.820 (5.796) Accm: 3.33 (3.34) Acct: 5.15 (5.11) proj_loss: -0.5914 (-0.6011) time: 0.4898 data: 0.0003
[11-25 12:33:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:03:31 tlr: 6.7e-05 tnm: 0.49 Lm: 6.673 (6.664) Lt: 5.962 (5.966) Accm: 2.80 (2.82) Acct: 4.49 (4.52) proj_loss: -0.6107 (-0.6081) time: 0.4898 data: 0.0003
[11-25 12:33:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:03:31 tlr: 6.7e-05 tnm: 0.49 Lm: 6.589 (6.589) Lt: 5.829 (5.827) Accm: 3.13 (3.19) Acct: 5.00 (5.07) proj_loss: -0.5952 (-0.5962) time: 0.4899 data: 0.0004
[11-25 12:33:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:03:31 tlr: 6.7e-05 tnm: 0.49 Lm: 6.569 (6.581) Lt: 5.786 (5.800) Accm: 3.19 (3.15) Acct: 5.07 (5.04) proj_loss: -0.5915 (-0.5923) time: 0.4898 data: 0.0003
[11-25 12:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.48 Lm: 6.583 (6.588) Lt: 5.800 (5.800) Accm: 3.18 (3.12) Acct: 4.96 (5.00) proj_loss: -0.5881 (-0.5890) time: 0.4932 data: 0.0019
[11-25 12:36:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:14:17 (0.514 s / it)
[11-25 12:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.48 Lm: 6.564 (6.584) Lt: 5.837 (5.829) Accm: 3.27 (3.20) Acct: 5.10 (5.07) proj_loss: -0.5947 (-0.5914) time: 0.4932 data: 0.0021
[11-25 12:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.48 Lm: 6.664 (6.578) Lt: 5.955 (5.860) Accm: 2.93 (3.08) Acct: 4.68 (4.87) proj_loss: -0.6139 (-0.6096) time: 0.4932 data: 0.0020
[11-25 12:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.48 Lm: 6.542 (6.550) Lt: 5.811 (5.799) Accm: 3.31 (3.28) Acct: 4.89 (5.06) proj_loss: -0.5888 (-0.5986) time: 0.4932 data: 0.0017
[11-25 12:36:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:14:17 (0.514 s / it)
[11-25 12:36:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:14:17 (0.514 s / it)
[11-25 12:36:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:14:17 (0.514 s / it)
[11-25 12:36:49] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.568 (6.576), Lt: 5.825 (5.831), Acc m&t: 3.21 5.05, Remain: 20:32:26, Finish: 2024-11-25 17:09
[11-25 12:36:49] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.568 (6.576), Lt: 5.825 (5.831), Acc m&t: 3.21 5.05, Remain: 20:32:20, Finish: 2024-11-25 17:09
[11-25 12:36:49] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.568 (6.576), Lt: 5.825 (5.831), Acc m&t: 3.21 5.05, Remain: 20:32:13, Finish: 2024-11-25 17:09
[11-25 12:36:49] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.568 (6.576), Lt: 5.825 (5.831), Acc m&t: 3.21 5.05, Remain: 20:32:17, Finish: 2024-11-25 17:09
[11-25 12:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:12:56 tlr: 6.7e-05 tnm: 0.48 Lm: 6.472 (6.472) Lt: 5.696 (5.696) Accm: 3.66 (3.66) Acct: 5.65 (5.65) proj_loss: -0.6086 (-0.6086) time: 0.4650 data: 0.0003
[11-25 12:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:12:44 tlr: 6.7e-05 tnm: 0.48 Lm: 6.508 (6.508) Lt: 5.749 (5.749) Accm: 3.32 (3.32) Acct: 5.37 (5.37) proj_loss: -0.5880 (-0.5880) time: 0.4581 data: 0.0003
[11-25 12:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:12:45 tlr: 6.7e-05 tnm: 0.48 Lm: 6.833 (6.833) Lt: 6.158 (6.158) Accm: 2.55 (2.55) Acct: 3.86 (3.86) proj_loss: -0.5958 (-0.5958) time: 0.4584 data: 0.0004
[11-25 12:36:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:12:45 tlr: 6.7e-05 tnm: 0.48 Lm: 6.546 (6.546) Lt: 5.783 (5.783) Accm: 3.58 (3.58) Acct: 5.91 (5.91) proj_loss: -0.5898 (-0.5898) time: 0.4586 data: 0.0004
[11-25 12:40:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:10:19 tlr: 6.7e-05 tnm: 0.47 Lm: 6.641 (6.641) Lt: 5.916 (5.916) Accm: 3.10 (3.10) Acct: 5.06 (5.06) proj_loss: -0.5978 (-0.5978) time: 0.4915 data: 0.0003
[11-25 12:40:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:10:19 tlr: 6.7e-05 tnm: 0.47 Lm: 6.511 (6.511) Lt: 5.755 (5.755) Accm: 3.48 (3.48) Acct: 5.29 (5.29) proj_loss: -0.6040 (-0.6040) time: 0.4915 data: 0.0003
[11-25 12:40:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:10:19 tlr: 6.7e-05 tnm: 0.47 Lm: 6.683 (6.683) Lt: 5.992 (5.992) Accm: 3.04 (3.04) Acct: 4.79 (4.79) proj_loss: -0.6093 (-0.6093) time: 0.4915 data: 0.0003
[11-25 12:40:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:10:19 tlr: 6.7e-05 tnm: 0.47 Lm: 6.553 (6.553) Lt: 5.793 (5.793) Accm: 3.27 (3.27) Acct: 5.23 (5.23) proj_loss: -0.5982 (-0.5982) time: 0.4915 data: 0.0003
[11-25 12:43:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:06:51 tlr: 6.7e-05 tnm: 0.48 Lm: 6.598 (6.571) Lt: 5.837 (5.817) Accm: 3.23 (3.21) Acct: 5.08 (5.13) proj_loss: -0.5927 (-0.5964) time: 0.4876 data: 0.0003
[11-25 12:43:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:06:51 tlr: 6.7e-05 tnm: 0.48 Lm: 6.546 (6.578) Lt: 5.783 (5.840) Accm: 3.58 (3.31) Acct: 5.91 (5.39) proj_loss: -0.5923 (-0.5959) time: 0.4876 data: 0.0002
[11-25 12:43:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:06:51 tlr: 6.7e-05 tnm: 0.48 Lm: 6.533 (6.602) Lt: 5.827 (5.868) Accm: 3.54 (3.23) Acct: 5.72 (5.11) proj_loss: -0.6137 (-0.6108) time: 0.4876 data: 0.0002
[11-25 12:43:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:06:51 tlr: 6.7e-05 tnm: 0.48 Lm: 6.550 (6.545) Lt: 5.814 (5.783) Accm: 3.31 (3.37) Acct: 4.92 (5.07) proj_loss: -0.5995 (-0.5984) time: 0.4876 data: 0.0003
[11-25 12:47:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:03:26 tlr: 6.7e-05 tnm: 0.51 Lm: 6.522 (6.532) Lt: 5.772 (5.770) Accm: 3.37 (3.38) Acct: 5.29 (5.22) proj_loss: -0.5979 (-0.5978) time: 0.4913 data: 0.0003
[11-25 12:47:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:03:26 tlr: 6.7e-05 tnm: 0.51 Lm: 6.602 (6.580) Lt: 5.851 (5.832) Accm: 3.20 (3.21) Acct: 5.00 (5.05) proj_loss: -0.6005 (-0.6006) time: 0.4913 data: 0.0003
[11-25 12:47:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:03:26 tlr: 6.7e-05 tnm: 0.51 Lm: 6.535 (6.586) Lt: 5.809 (5.849) Accm: 3.39 (3.23) Acct: 5.37 (5.09) proj_loss: -0.6048 (-0.6061) time: 0.4913 data: 0.0003
[11-25 12:47:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:03:26 tlr: 6.7e-05 tnm: 0.51 Lm: 6.592 (6.593) Lt: 5.877 (5.873) Accm: 3.19 (3.19) Acct: 5.17 (5.15) proj_loss: -0.5990 (-0.6010) time: 0.4914 data: 0.0003
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.48 Lm: 6.613 (6.597) Lt: 5.882 (5.874) Accm: 3.16 (3.18) Acct: 4.82 (5.09) proj_loss: -0.5972 (-0.6003) time: 0.5438 data: 0.0019
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:13:52 (0.499 s / it)
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.48 Lm: 6.537 (6.577) Lt: 5.791 (5.833) Accm: 3.50 (3.29) Acct: 5.72 (5.24) proj_loss: -0.6137 (-0.6107) time: 0.5438 data: 0.0016
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.48 Lm: 6.598 (6.557) Lt: 5.837 (5.805) Accm: 3.23 (3.21) Acct: 5.03 (5.04) proj_loss: -0.5927 (-0.5965) time: 0.5438 data: 0.0020
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.48 Lm: 6.550 (6.561) Lt: 5.814 (5.803) Accm: 3.31 (3.25) Acct: 4.92 (4.98) proj_loss: -0.5995 (-0.5995) time: 0.5438 data: 0.0018
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:13:52 (0.499 s / it)
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:13:52 (0.499 s / it)
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:13:52 (0.499 s / it)
[11-25 12:50:42] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.568 (6.569), Lt: 5.825 (5.826), Acc m&t: 3.21 5.05, Remain: 20:18:57, Finish: 2024-11-25 17:09
[11-25 12:50:42] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.568 (6.569), Lt: 5.825 (5.826), Acc m&t: 3.21 5.05, Remain: 20:18:44, Finish: 2024-11-25 17:09
[11-25 12:50:42] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.568 (6.569), Lt: 5.825 (5.826), Acc m&t: 3.21 5.05, Remain: 20:18:34, Finish: 2024-11-25 17:09
[11-25 12:50:42] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.568 (6.569), Lt: 5.825 (5.826), Acc m&t: 3.21 5.05, Remain: 20:18:46, Finish: 2024-11-25 17:09
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:12:54 tlr: 6.7e-05 tnm: 0.48 Lm: 6.615 (6.615) Lt: 5.834 (5.834) Accm: 3.10 (3.10) Acct: 4.67 (4.67) proj_loss: -0.6002 (-0.6002) time: 0.4641 data: 0.0004
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:12:59 tlr: 6.7e-05 tnm: 0.48 Lm: 6.553 (6.553) Lt: 5.825 (5.825) Accm: 3.34 (3.34) Acct: 4.92 (4.92) proj_loss: -0.5829 (-0.5829) time: 0.4668 data: 0.0004
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:12:58 tlr: 6.7e-05 tnm: 0.48 Lm: 6.551 (6.551) Lt: 5.805 (5.805) Accm: 3.15 (3.15) Acct: 5.15 (5.15) proj_loss: -0.6012 (-0.6012) time: 0.4666 data: 0.0003
[11-25 12:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:12:59 tlr: 6.7e-05 tnm: 0.48 Lm: 6.518 (6.518) Lt: 5.747 (5.747) Accm: 3.58 (3.58) Acct: 5.63 (5.63) proj_loss: -0.5815 (-0.5815) time: 0.4670 data: 0.0004
[11-25 12:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:11:15 tlr: 6.6e-05 tnm: 0.50 Lm: 6.512 (6.512) Lt: 5.714 (5.714) Accm: 3.49 (3.49) Acct: 5.55 (5.55) proj_loss: -0.5928 (-0.5928) time: 0.5422 data: 0.0003
[11-25 12:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:11:15 tlr: 6.6e-05 tnm: 0.50 Lm: 6.525 (6.525) Lt: 5.759 (5.759) Accm: 3.28 (3.28) Acct: 5.25 (5.25) proj_loss: -0.6136 (-0.6136) time: 0.5422 data: 0.0003
[11-25 12:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:11:15 tlr: 6.6e-05 tnm: 0.50 Lm: 6.488 (6.488) Lt: 5.716 (5.716) Accm: 3.40 (3.40) Acct: 5.40 (5.40) proj_loss: -0.5912 (-0.5912) time: 0.5422 data: 0.0003
[11-25 12:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:11:15 tlr: 6.6e-05 tnm: 0.50 Lm: 6.608 (6.608) Lt: 5.823 (5.823) Accm: 3.07 (3.07) Acct: 4.79 (4.79) proj_loss: -0.6017 (-0.6017) time: 0.5422 data: 0.0003
[11-25 12:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:07:17 tlr: 6.6e-05 tnm: 0.48 Lm: 6.542 (6.506) Lt: 5.769 (5.734) Accm: 3.34 (3.34) Acct: 4.94 (5.25) proj_loss: -0.5995 (-0.5959) time: 0.4896 data: 0.0003
[11-25 12:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:07:17 tlr: 6.6e-05 tnm: 0.48 Lm: 6.551 (6.598) Lt: 5.805 (5.862) Accm: 3.15 (3.13) Acct: 5.15 (4.90) proj_loss: -0.6209 (-0.6160) time: 0.4896 data: 0.0003
[11-25 12:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:07:17 tlr: 6.6e-05 tnm: 0.48 Lm: 6.518 (6.584) Lt: 5.747 (5.808) Accm: 3.39 (3.32) Acct: 5.48 (5.34) proj_loss: -0.5990 (-0.5949) time: 0.4896 data: 0.0003
[11-25 12:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:07:17 tlr: 6.6e-05 tnm: 0.48 Lm: 6.615 (6.632) Lt: 5.834 (5.875) Accm: 3.04 (3.02) Acct: 4.67 (4.69) proj_loss: -0.6010 (-0.6015) time: 0.4896 data: 0.0003
[11-25 13:01:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:03:34 tlr: 6.6e-05 tnm: 0.50 Lm: 6.647 (6.644) Lt: 5.899 (5.897) Accm: 3.07 (3.05) Acct: 4.79 (4.76) proj_loss: -0.6006 (-0.6012) time: 0.4904 data: 0.0003
[11-25 13:01:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:03:34 tlr: 6.6e-05 tnm: 0.50 Lm: 6.548 (6.536) Lt: 5.797 (5.770) Accm: 3.29 (3.18) Acct: 4.93 (4.98) proj_loss: -0.6023 (-0.5991) time: 0.4904 data: 0.0003
[11-25 13:01:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:03:34 tlr: 6.6e-05 tnm: 0.50 Lm: 6.633 (6.627) Lt: 5.913 (5.902) Accm: 2.99 (3.02) Acct: 4.86 (4.82) proj_loss: -0.6111 (-0.6118) time: 0.4904 data: 0.0003
[11-25 13:01:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:03:34 tlr: 6.6e-05 tnm: 0.50 Lm: 6.512 (6.557) Lt: 5.725 (5.782) Accm: 3.42 (3.36) Acct: 5.42 (5.35) proj_loss: -0.6016 (-0.5977) time: 0.4905 data: 0.0003
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.49 Lm: 6.518 (6.561) Lt: 5.747 (5.781) Accm: 3.39 (3.31) Acct: 5.37 (5.31) proj_loss: -0.5990 (-0.5969) time: 0.4915 data: 0.0016
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:14:06 (0.507 s / it)
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.49 Lm: 6.542 (6.509) Lt: 5.769 (5.739) Accm: 3.34 (3.31) Acct: 4.94 (5.19) proj_loss: -0.5995 (-0.5976) time: 0.4915 data: 0.0020
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.49 Lm: 6.615 (6.623) Lt: 5.834 (5.878) Accm: 3.10 (3.08) Acct: 4.82 (4.78) proj_loss: -0.6010 (-0.6012) time: 0.4915 data: 0.0017
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.49 Lm: 6.551 (6.592) Lt: 5.805 (5.850) Accm: 3.15 (3.13) Acct: 5.15 (4.98) proj_loss: -0.6012 (-0.6049) time: 0.4916 data: 0.0013
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:14:06 (0.507 s / it)
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:14:06 (0.507 s / it)
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:14:06 (0.507 s / it)
[11-25 13:04:49] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.568 (6.572), Lt: 5.824 (5.824), Acc m&t: 3.21 5.06, Remain: 20:08:07, Finish: 2024-11-25 17:12
[11-25 13:04:49] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.568 (6.572), Lt: 5.824 (5.824), Acc m&t: 3.21 5.06, Remain: 20:07:27, Finish: 2024-11-25 17:12
[11-25 13:04:49] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.568 (6.572), Lt: 5.824 (5.824), Acc m&t: 3.21 5.06, Remain: 20:07:09, Finish: 2024-11-25 17:11
[11-25 13:04:49] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.568 (6.572), Lt: 5.824 (5.824), Acc m&t: 3.21 5.06, Remain: 20:08:15, Finish: 2024-11-25 17:13
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:12:55 tlr: 6.6e-05 tnm: 0.48 Lm: 6.496 (6.496) Lt: 5.724 (5.724) Accm: 3.49 (3.49) Acct: 5.73 (5.73) proj_loss: -0.6004 (-0.6004) time: 0.4648 data: 0.0003
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:12:51 tlr: 6.6e-05 tnm: 0.48 Lm: 6.512 (6.512) Lt: 5.800 (5.800) Accm: 2.92 (2.92) Acct: 4.55 (4.55) proj_loss: -0.5945 (-0.5945) time: 0.4622 data: 0.0004
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:12:56 tlr: 6.6e-05 tnm: 0.48 Lm: 6.696 (6.696) Lt: 5.971 (5.971) Accm: 2.76 (2.76) Acct: 4.53 (4.53) proj_loss: -0.6102 (-0.6102) time: 0.4654 data: 0.0004
[11-25 13:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:12:55 tlr: 6.6e-05 tnm: 0.48 Lm: 6.875 (6.875) Lt: 6.218 (6.218) Accm: 2.45 (2.45) Acct: 3.79 (3.79) proj_loss: -0.6227 (-0.6227) time: 0.4647 data: 0.0004
[11-25 13:08:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:10:36 tlr: 6.6e-05 tnm: 0.51 Lm: 6.748 (6.748) Lt: 6.052 (6.052) Accm: 2.72 (2.72) Acct: 4.16 (4.16) proj_loss: -0.6058 (-0.6058) time: 0.5426 data: 0.0003
[11-25 13:08:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:10:36 tlr: 6.6e-05 tnm: 0.51 Lm: 6.554 (6.554) Lt: 5.831 (5.831) Accm: 3.26 (3.26) Acct: 5.18 (5.18) proj_loss: -0.6119 (-0.6119) time: 0.5426 data: 0.0003
[11-25 13:08:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:10:36 tlr: 6.6e-05 tnm: 0.51 Lm: 6.592 (6.592) Lt: 5.862 (5.862) Accm: 3.21 (3.21) Acct: 5.22 (5.22) proj_loss: -0.5915 (-0.5915) time: 0.5426 data: 0.0003
[11-25 13:08:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:10:36 tlr: 6.6e-05 tnm: 0.51 Lm: 6.568 (6.568) Lt: 5.879 (5.879) Accm: 3.12 (3.12) Acct: 4.92 (4.92) proj_loss: -0.6063 (-0.6063) time: 0.5426 data: 0.0003
[11-25 13:11:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:07:06 tlr: 6.5e-05 tnm: 0.51 Lm: 6.556 (6.564) Lt: 5.800 (5.834) Accm: 3.31 (3.20) Acct: 5.29 (5.12) proj_loss: -0.5945 (-0.6021) time: 0.4935 data: 0.0003
[11-25 13:11:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:07:06 tlr: 6.5e-05 tnm: 0.51 Lm: 6.669 (6.617) Lt: 5.945 (5.890) Accm: 2.94 (3.07) Acct: 4.70 (4.94) proj_loss: -0.6004 (-0.5959) time: 0.4935 data: 0.0003
[11-25 13:11:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:07:06 tlr: 6.5e-05 tnm: 0.51 Lm: 6.549 (6.552) Lt: 5.816 (5.826) Accm: 3.23 (3.25) Acct: 4.89 (5.08) proj_loss: -0.6102 (-0.6058) time: 0.4935 data: 0.0003
[11-25 13:11:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:07:06 tlr: 6.5e-05 tnm: 0.51 Lm: 6.622 (6.678) Lt: 5.885 (5.970) Accm: 2.99 (2.96) Acct: 4.53 (4.56) proj_loss: -0.6163 (-0.6093) time: 0.4935 data: 0.0003
[11-25 13:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:03:34 tlr: 6.5e-05 tnm: 0.48 Lm: 6.660 (6.683) Lt: 5.967 (5.990) Accm: 2.87 (2.91) Acct: 4.42 (4.50) proj_loss: -0.6026 (-0.6033) time: 0.4949 data: 0.0003
[11-25 13:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:03:34 tlr: 6.5e-05 tnm: 0.48 Lm: 6.590 (6.585) Lt: 5.862 (5.857) Accm: 3.14 (3.14) Acct: 5.08 (5.06) proj_loss: -0.5941 (-0.5955) time: 0.4949 data: 0.0003
[11-25 13:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:03:34 tlr: 6.5e-05 tnm: 0.48 Lm: 6.592 (6.592) Lt: 5.844 (5.853) Accm: 3.13 (3.13) Acct: 5.11 (5.08) proj_loss: -0.6026 (-0.6027) time: 0.4949 data: 0.0003
[11-25 13:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:03:34 tlr: 6.5e-05 tnm: 0.48 Lm: 6.556 (6.555) Lt: 5.801 (5.816) Accm: 3.15 (3.20) Acct: 4.90 (5.04) proj_loss: -0.6019 (-0.6008) time: 0.4949 data: 0.0003
[11-25 13:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.49 Lm: 6.549 (6.531) Lt: 5.787 (5.782) Accm: 3.23 (3.33) Acct: 4.91 (5.25) proj_loss: -0.5936 (-0.5989) time: 0.4900 data: 0.0017
[11-25 13:19:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:14:16 (0.513 s / it)
[11-25 13:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.49 Lm: 6.667 (6.607) Lt: 5.907 (5.864) Accm: 3.14 (3.13) Acct: 5.10 (5.09) proj_loss: -0.6004 (-0.6004) time: 0.4901 data: 0.0015
[11-25 13:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.49 Lm: 6.556 (6.565) Lt: 5.800 (5.837) Accm: 3.31 (3.20) Acct: 5.29 (5.18) proj_loss: -0.5945 (-0.5982) time: 0.4901 data: 0.0019
[11-25 13:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.49 Lm: 6.622 (6.646) Lt: 5.885 (5.938) Accm: 2.99 (3.03) Acct: 4.53 (4.65) proj_loss: -0.6005 (-0.6027) time: 0.4901 data: 0.0019
[11-25 13:19:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:14:16 (0.513 s / it)
[11-25 13:19:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:14:16 (0.513 s / it)
[11-25 13:19:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:14:16 (0.513 s / it)
[11-25 13:19:05] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.568 (6.588), Lt: 5.824 (5.850), Acc m&t: 3.21 5.06, Remain: 19:45:12, Finish: 2024-11-25 17:04
[11-25 13:19:05] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.568 (6.588), Lt: 5.824 (5.850), Acc m&t: 3.21 5.06, Remain: 19:45:00, Finish: 2024-11-25 17:04
[11-25 13:19:05] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.568 (6.588), Lt: 5.824 (5.850), Acc m&t: 3.21 5.06, Remain: 19:45:24, Finish: 2024-11-25 17:04
[11-25 13:19:05] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.568 (6.588), Lt: 5.824 (5.850), Acc m&t: 3.21 5.06, Remain: 19:45:18, Finish: 2024-11-25 17:04
[11-25 13:19:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:13:04 tlr: 6.5e-05 tnm: 0.48 Lm: 6.659 (6.659) Lt: 5.953 (5.953) Accm: 2.75 (2.75) Acct: 4.48 (4.48) proj_loss: -0.6117 (-0.6117) time: 0.4698 data: 0.0003
[11-25 13:19:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:13:03 tlr: 6.5e-05 tnm: 0.48 Lm: 6.483 (6.483) Lt: 5.716 (5.716) Accm: 3.29 (3.29) Acct: 5.01 (5.01) proj_loss: -0.5734 (-0.5734) time: 0.4694 data: 0.0003
[11-25 13:19:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:13:04 tlr: 6.5e-05 tnm: 0.48 Lm: 6.258 (6.258) Lt: 5.467 (5.467) Accm: 3.77 (3.77) Acct: 6.06 (6.06) proj_loss: -0.6190 (-0.6190) time: 0.4702 data: 0.0004
[11-25 13:19:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:13:05 tlr: 6.5e-05 tnm: 0.48 Lm: 6.590 (6.590) Lt: 5.855 (5.855) Accm: 3.33 (3.33) Acct: 4.89 (4.89) proj_loss: -0.6187 (-0.6187) time: 0.4704 data: 0.0003
[11-25 13:22:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:10:14 tlr: 6.5e-05 tnm: 0.48 Lm: 6.540 (6.540) Lt: 5.827 (5.827) Accm: 3.27 (3.27) Acct: 4.98 (4.98) proj_loss: -0.6128 (-0.6128) time: 0.4910 data: 0.0003
[11-25 13:22:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:10:14 tlr: 6.5e-05 tnm: 0.48 Lm: 6.475 (6.475) Lt: 5.691 (5.691) Accm: 3.34 (3.34) Acct: 5.25 (5.25) proj_loss: -0.6080 (-0.6080) time: 0.4910 data: 0.0003
[11-25 13:22:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:10:14 tlr: 6.5e-05 tnm: 0.48 Lm: 6.622 (6.622) Lt: 5.899 (5.899) Accm: 2.99 (2.99) Acct: 4.60 (4.60) proj_loss: -0.5853 (-0.5853) time: 0.4910 data: 0.0003
[11-25 13:22:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:10:14 tlr: 6.5e-05 tnm: 0.48 Lm: 6.568 (6.568) Lt: 5.840 (5.840) Accm: 3.22 (3.22) Acct: 5.30 (5.30) proj_loss: -0.6129 (-0.6129) time: 0.4910 data: 0.0003
[11-25 13:25:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:06:51 tlr: 6.5e-05 tnm: 0.50 Lm: 6.643 (6.593) Lt: 5.894 (5.858) Accm: 2.93 (3.12) Acct: 4.48 (5.02) proj_loss: -0.6117 (-0.6098) time: 0.4960 data: 0.0003
[11-25 13:25:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:06:51 tlr: 6.5e-05 tnm: 0.50 Lm: 6.554 (6.599) Lt: 5.817 (5.871) Accm: 3.15 (3.04) Acct: 4.86 (4.68) proj_loss: -0.5874 (-0.5860) time: 0.4960 data: 0.0003
[11-25 13:25:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:06:51 tlr: 6.5e-05 tnm: 0.50 Lm: 6.590 (6.556) Lt: 5.855 (5.839) Accm: 3.22 (3.22) Acct: 4.98 (4.98) proj_loss: -0.6069 (-0.6081) time: 0.4960 data: 0.0003
[11-25 13:25:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:06:51 tlr: 6.5e-05 tnm: 0.50 Lm: 6.616 (6.522) Lt: 5.915 (5.772) Accm: 2.94 (3.20) Acct: 4.70 (5.07) proj_loss: -0.5971 (-0.6003) time: 0.4960 data: 0.0003
[11-25 13:29:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:03:26 tlr: 6.5e-05 tnm: 0.49 Lm: 6.654 (6.577) Lt: 5.925 (5.831) Accm: 2.92 (3.10) Acct: 4.60 (4.92) proj_loss: -0.5909 (-0.5957) time: 0.4900 data: 0.0003
[11-25 13:29:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:03:26 tlr: 6.5e-05 tnm: 0.49 Lm: 6.531 (6.576) Lt: 5.777 (5.838) Accm: 3.22 (3.16) Acct: 4.93 (4.92) proj_loss: -0.5923 (-0.5901) time: 0.4901 data: 0.0003
[11-25 13:29:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:03:26 tlr: 6.5e-05 tnm: 0.49 Lm: 6.596 (6.582) Lt: 5.860 (5.850) Accm: 3.07 (3.15) Acct: 4.88 (5.09) proj_loss: -0.6076 (-0.6033) time: 0.4901 data: 0.0003
[11-25 13:29:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:03:26 tlr: 6.5e-05 tnm: 0.49 Lm: 6.540 (6.537) Lt: 5.827 (5.803) Accm: 3.27 (3.30) Acct: 5.02 (5.17) proj_loss: -0.6028 (-0.6027) time: 0.4901 data: 0.0003
[11-25 13:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.49 Lm: 6.590 (6.554) Lt: 5.855 (5.819) Accm: 3.22 (3.25) Acct: 4.98 (5.12) proj_loss: -0.5987 (-0.6013) time: 0.5333 data: 0.0018
[11-25 13:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:13:53 (0.500 s / it)
[11-25 13:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.49 Lm: 6.680 (6.597) Lt: 5.934 (5.859) Accm: 2.94 (3.10) Acct: 4.55 (4.85) proj_loss: -0.5971 (-0.5998) time: 0.5333 data: 0.0017
[11-25 13:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.49 Lm: 6.548 (6.565) Lt: 5.826 (5.823) Accm: 3.21 (3.16) Acct: 4.98 (5.07) proj_loss: -0.6035 (-0.5987) time: 0.5333 data: 0.0016
[11-25 13:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.49 Lm: 6.554 (6.575) Lt: 5.796 (5.829) Accm: 3.15 (3.14) Acct: 4.86 (4.89) proj_loss: -0.5905 (-0.5902) time: 0.5333 data: 0.0016
[11-25 13:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:13:53 (0.500 s / it)
[11-25 13:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:13:53 (0.500 s / it)
[11-25 13:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:13:53 (0.500 s / it)
[11-25 13:32:59] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.568 (6.578), Lt: 5.824 (5.833), Acc m&t: 3.21 5.06, Remain: 19:28:37, Finish: 2024-11-25 17:01
[11-25 13:32:59] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.568 (6.578), Lt: 5.824 (5.833), Acc m&t: 3.21 5.06, Remain: 19:29:52, Finish: 2024-11-25 17:02
[11-25 13:32:59] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.568 (6.578), Lt: 5.824 (5.833), Acc m&t: 3.21 5.06, Remain: 19:29:19, Finish: 2024-11-25 17:02
[11-25 13:32:59] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.568 (6.578), Lt: 5.824 (5.833), Acc m&t: 3.21 5.06, Remain: 19:29:11, Finish: 2024-11-25 17:02
[11-25 13:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:12:48 tlr: 6.4e-05 tnm: 0.50 Lm: 6.582 (6.582) Lt: 5.856 (5.856) Accm: 3.33 (3.33) Acct: 4.94 (4.94) proj_loss: -0.6116 (-0.6116) time: 0.4603 data: 0.0004
[11-25 13:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:12:48 tlr: 6.4e-05 tnm: 0.50 Lm: 6.567 (6.567) Lt: 5.739 (5.739) Accm: 3.26 (3.26) Acct: 5.30 (5.30) proj_loss: -0.5837 (-0.5837) time: 0.4602 data: 0.0003
[11-25 13:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:12:47 tlr: 6.4e-05 tnm: 0.50 Lm: 6.645 (6.645) Lt: 5.850 (5.850) Accm: 3.10 (3.10) Acct: 4.91 (4.91) proj_loss: -0.5946 (-0.5946) time: 0.4600 data: 0.0003
[11-25 13:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:12:48 tlr: 6.4e-05 tnm: 0.50 Lm: 6.590 (6.590) Lt: 5.865 (5.865) Accm: 2.94 (2.94) Acct: 4.29 (4.29) proj_loss: -0.6085 (-0.6085) time: 0.4603 data: 0.0004
[11-25 13:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:10:59 tlr: 6.4e-05 tnm: 0.49 Lm: 6.604 (6.604) Lt: 5.890 (5.890) Accm: 2.98 (2.98) Acct: 4.41 (4.41) proj_loss: -0.6044 (-0.6044) time: 0.4888 data: 0.0003
[11-25 13:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:10:59 tlr: 6.4e-05 tnm: 0.49 Lm: 6.608 (6.608) Lt: 5.909 (5.909) Accm: 3.08 (3.08) Acct: 4.61 (4.61) proj_loss: -0.6107 (-0.6107) time: 0.4888 data: 0.0003
[11-25 13:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:10:59 tlr: 6.4e-05 tnm: 0.49 Lm: 6.674 (6.674) Lt: 5.902 (5.902) Accm: 3.01 (3.01) Acct: 4.84 (4.84) proj_loss: -0.5894 (-0.5894) time: 0.4888 data: 0.0002
[11-25 13:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:10:59 tlr: 6.4e-05 tnm: 0.49 Lm: 6.608 (6.608) Lt: 5.852 (5.852) Accm: 3.26 (3.26) Acct: 5.18 (5.18) proj_loss: -0.5897 (-0.5897) time: 0.4888 data: 0.0003
[11-25 13:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:07:10 tlr: 6.4e-05 tnm: 0.49 Lm: 6.567 (6.562) Lt: 5.739 (5.809) Accm: 3.27 (3.32) Acct: 5.30 (5.26) proj_loss: -0.5958 (-0.5920) time: 0.4943 data: 0.0003
[11-25 13:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:07:10 tlr: 6.4e-05 tnm: 0.49 Lm: 6.590 (6.580) Lt: 5.865 (5.874) Accm: 3.01 (3.13) Acct: 4.53 (4.71) proj_loss: -0.6072 (-0.6053) time: 0.4943 data: 0.0002
[11-25 13:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:07:10 tlr: 6.4e-05 tnm: 0.49 Lm: 6.582 (6.596) Lt: 5.856 (5.891) Accm: 3.33 (3.18) Acct: 4.94 (4.82) proj_loss: -0.6099 (-0.6099) time: 0.4943 data: 0.0003
[11-25 13:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:07:10 tlr: 6.4e-05 tnm: 0.49 Lm: 6.645 (6.630) Lt: 5.850 (5.857) Accm: 3.10 (3.09) Acct: 4.91 (4.92) proj_loss: -0.5946 (-0.5939) time: 0.4943 data: 0.0003
[11-25 13:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:03:31 tlr: 6.4e-05 tnm: 0.48 Lm: 6.655 (6.639) Lt: 5.895 (5.878) Accm: 3.04 (3.06) Acct: 4.91 (4.92) proj_loss: -0.5987 (-0.6004) time: 0.4900 data: 0.0003
[11-25 13:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:03:31 tlr: 6.4e-05 tnm: 0.48 Lm: 6.577 (6.547) Lt: 5.855 (5.825) Accm: 3.35 (3.33) Acct: 5.08 (5.03) proj_loss: -0.6091 (-0.6063) time: 0.4900 data: 0.0003
[11-25 13:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:03:31 tlr: 6.4e-05 tnm: 0.48 Lm: 6.604 (6.620) Lt: 5.890 (5.911) Accm: 2.98 (2.96) Acct: 4.41 (4.47) proj_loss: -0.6078 (-0.6063) time: 0.4900 data: 0.0003
[11-25 13:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:03:31 tlr: 6.4e-05 tnm: 0.48 Lm: 6.585 (6.573) Lt: 5.793 (5.818) Accm: 3.31 (3.33) Acct: 5.34 (5.29) proj_loss: -0.5961 (-0.5952) time: 0.4900 data: 0.0003
[11-25 13:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.48 Lm: 6.603 (6.584) Lt: 5.847 (5.838) Accm: 3.27 (3.26) Acct: 5.30 (5.17) proj_loss: -0.5965 (-0.5980) time: 0.4910 data: 0.0019
[11-25 13:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:13:58 (0.503 s / it)
[11-25 13:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.48 Lm: 6.572 (6.498) Lt: 5.855 (5.767) Accm: 3.37 (3.47) Acct: 5.22 (5.26) proj_loss: -0.6082 (-0.6062) time: 0.4910 data: 0.0018
[11-25 13:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.48 Lm: 6.590 (6.607) Lt: 5.865 (5.894) Accm: 3.01 (3.03) Acct: 4.53 (4.67) proj_loss: -0.6072 (-0.6010) time: 0.4910 data: 0.0016
[11-25 13:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.48 Lm: 6.645 (6.614) Lt: 5.850 (5.846) Accm: 3.10 (3.15) Acct: 4.91 (5.08) proj_loss: -0.5996 (-0.6002) time: 0.4910 data: 0.0013
[11-25 13:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:13:58 (0.503 s / it)
[11-25 13:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:13:58 (0.503 s / it)
[11-25 13:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:13:58 (0.503 s / it)
[11-25 13:46:58] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.568 (6.577), Lt: 5.824 (5.833), Acc m&t: 3.21 5.06, Remain: 19:21:00, Finish: 2024-11-25 17:07
[11-25 13:46:58] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.568 (6.577), Lt: 5.824 (5.833), Acc m&t: 3.21 5.06, Remain: 19:21:39, Finish: 2024-11-25 17:08
[11-25 13:46:58] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.568 (6.577), Lt: 5.824 (5.833), Acc m&t: 3.21 5.06, Remain: 19:21:19, Finish: 2024-11-25 17:08
[11-25 13:46:58] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.568 (6.577), Lt: 5.824 (5.833), Acc m&t: 3.21 5.06, Remain: 19:21:01, Finish: 2024-11-25 17:07
[11-25 13:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:12:49 tlr: 6.4e-05 tnm: 0.50 Lm: 6.697 (6.697) Lt: 5.954 (5.954) Accm: 2.80 (2.80) Acct: 4.53 (4.53) proj_loss: -0.6086 (-0.6086) time: 0.4608 data: 0.0004
[11-25 13:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:12:48 tlr: 6.4e-05 tnm: 0.50 Lm: 6.453 (6.453) Lt: 5.662 (5.662) Accm: 3.59 (3.59) Acct: 5.79 (5.79) proj_loss: -0.6122 (-0.6122) time: 0.4607 data: 0.0004
[11-25 13:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:12:47 tlr: 6.4e-05 tnm: 0.50 Lm: 6.643 (6.643) Lt: 5.963 (5.963) Accm: 2.95 (2.95) Acct: 4.36 (4.36) proj_loss: -0.5886 (-0.5886) time: 0.4602 data: 0.0004
[11-25 13:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:12:49 tlr: 6.4e-05 tnm: 0.50 Lm: 6.517 (6.517) Lt: 5.762 (5.762) Accm: 3.60 (3.60) Acct: 5.77 (5.77) proj_loss: -0.6063 (-0.6063) time: 0.4610 data: 0.0004
[11-25 13:50:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:10:52 tlr: 6.3e-05 tnm: 0.49 Lm: 6.535 (6.535) Lt: 5.809 (5.809) Accm: 3.53 (3.53) Acct: 5.69 (5.69) proj_loss: -0.6018 (-0.6018) time: 0.5518 data: 0.0003
[11-25 13:50:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:10:52 tlr: 6.3e-05 tnm: 0.49 Lm: 6.534 (6.534) Lt: 5.838 (5.838) Accm: 3.15 (3.15) Acct: 4.81 (4.81) proj_loss: -0.5988 (-0.5988) time: 0.5519 data: 0.0003
[11-25 13:50:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:10:52 tlr: 6.3e-05 tnm: 0.49 Lm: 6.647 (6.647) Lt: 5.899 (5.899) Accm: 2.94 (2.94) Acct: 4.70 (4.70) proj_loss: -0.6024 (-0.6024) time: 0.5518 data: 0.0003
[11-25 13:50:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:10:52 tlr: 6.3e-05 tnm: 0.49 Lm: 6.575 (6.575) Lt: 5.806 (5.806) Accm: 3.32 (3.32) Acct: 5.32 (5.32) proj_loss: -0.6069 (-0.6069) time: 0.5519 data: 0.0003
[11-25 13:54:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:07:12 tlr: 6.3e-05 tnm: 0.48 Lm: 6.659 (6.603) Lt: 5.915 (5.843) Accm: 3.05 (3.13) Acct: 4.86 (4.98) proj_loss: -0.6016 (-0.6006) time: 0.4909 data: 0.0003
[11-25 13:54:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:07:12 tlr: 6.3e-05 tnm: 0.48 Lm: 6.566 (6.545) Lt: 5.824 (5.834) Accm: 3.25 (3.18) Acct: 5.20 (4.94) proj_loss: -0.6090 (-0.6036) time: 0.4909 data: 0.0003
[11-25 13:54:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:07:12 tlr: 6.3e-05 tnm: 0.48 Lm: 6.658 (6.650) Lt: 5.848 (5.882) Accm: 3.07 (3.06) Acct: 4.87 (4.92) proj_loss: -0.5962 (-0.5981) time: 0.4909 data: 0.0003
[11-25 13:54:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:07:12 tlr: 6.3e-05 tnm: 0.48 Lm: 6.553 (6.610) Lt: 5.856 (5.899) Accm: 3.47 (3.29) Acct: 5.61 (5.23) proj_loss: -0.6063 (-0.6038) time: 0.4911 data: 0.0003
[11-25 13:57:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:03:37 tlr: 6.3e-05 tnm: 0.49 Lm: 6.596 (6.618) Lt: 5.908 (5.914) Accm: 3.27 (3.24) Acct: 5.09 (5.06) proj_loss: -0.6070 (-0.6061) time: 0.4904 data: 0.0003
[11-25 13:57:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:03:37 tlr: 6.3e-05 tnm: 0.49 Lm: 6.609 (6.592) Lt: 5.863 (5.835) Accm: 3.18 (3.17) Acct: 5.02 (5.03) proj_loss: -0.6067 (-0.6034) time: 0.4904 data: 0.0003
[11-25 13:57:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:03:37 tlr: 6.3e-05 tnm: 0.49 Lm: 6.627 (6.607) Lt: 5.846 (5.844) Accm: 3.19 (3.15) Acct: 5.12 (5.05) proj_loss: -0.6014 (-0.6002) time: 0.4904 data: 0.0003
[11-25 13:57:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:03:37 tlr: 6.3e-05 tnm: 0.49 Lm: 6.572 (6.553) Lt: 5.842 (5.840) Accm: 3.30 (3.25) Acct: 5.23 (5.07) proj_loss: -0.5988 (-0.5999) time: 0.4903 data: 0.0003
[11-25 14:01:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.50 Lm: 6.578 (6.576) Lt: 5.861 (5.853) Accm: 3.25 (3.19) Acct: 5.20 (5.01) proj_loss: -0.6035 (-0.6006) time: 0.4891 data: 0.0014
[11-25 14:01:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:14:21 (0.516 s / it)
[11-25 14:01:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.50 Lm: 6.553 (6.586) Lt: 5.856 (5.877) Accm: 3.47 (3.34) Acct: 5.61 (5.28) proj_loss: -0.6063 (-0.6008) time: 0.4891 data: 0.0018
[11-25 14:01:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.50 Lm: 6.658 (6.627) Lt: 5.848 (5.858) Accm: 3.07 (3.10) Acct: 4.87 (4.99) proj_loss: -0.5962 (-0.5980) time: 0.4891 data: 0.0019
[11-25 14:01:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.50 Lm: 6.653 (6.604) Lt: 5.880 (5.844) Accm: 3.25 (3.19) Acct: 5.18 (5.13) proj_loss: -0.6016 (-0.5997) time: 0.4891 data: 0.0017
[11-25 14:01:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:14:21 (0.516 s / it)
[11-25 14:01:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:14:21 (0.516 s / it)
[11-25 14:01:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:14:21 (0.516 s / it)
[11-25 14:01:19] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.568 (6.578), Lt: 5.824 (5.842), Acc m&t: 3.21 5.06, Remain: 19:02:35, Finish: 2024-11-25 17:03
[11-25 14:01:19] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.568 (6.578), Lt: 5.824 (5.842), Acc m&t: 3.21 5.06, Remain: 19:02:32, Finish: 2024-11-25 17:03
[11-25 14:01:19] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.568 (6.578), Lt: 5.824 (5.842), Acc m&t: 3.21 5.06, Remain: 19:02:30, Finish: 2024-11-25 17:03
[11-25 14:01:19] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.568 (6.578), Lt: 5.824 (5.842), Acc m&t: 3.21 5.06, Remain: 19:01:56, Finish: 2024-11-25 17:03
[11-25 14:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:13:36 tlr: 6.3e-05 tnm: 0.48 Lm: 6.560 (6.560) Lt: 5.900 (5.900) Accm: 2.96 (2.96) Acct: 4.51 (4.51) proj_loss: -0.6113 (-0.6113) time: 0.4893 data: 0.0003
[11-25 14:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:13:37 tlr: 6.3e-05 tnm: 0.48 Lm: 6.651 (6.651) Lt: 5.958 (5.958) Accm: 2.63 (2.63) Acct: 4.03 (4.03) proj_loss: -0.5914 (-0.5914) time: 0.4899 data: 0.0003
[11-25 14:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:13:38 tlr: 6.3e-05 tnm: 0.48 Lm: 6.721 (6.721) Lt: 5.940 (5.940) Accm: 2.75 (2.75) Acct: 4.17 (4.17) proj_loss: -0.5727 (-0.5727) time: 0.4906 data: 0.0004
[11-25 14:01:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:13:39 tlr: 6.3e-05 tnm: 0.48 Lm: 6.580 (6.580) Lt: 5.841 (5.841) Accm: 3.45 (3.45) Acct: 5.39 (5.39) proj_loss: -0.5977 (-0.5977) time: 0.4910 data: 0.0004
[11-25 14:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:10:15 tlr: 6.3e-05 tnm: 0.50 Lm: 6.530 (6.530) Lt: 5.771 (5.771) Accm: 3.50 (3.50) Acct: 5.54 (5.54) proj_loss: -0.5975 (-0.5975) time: 0.4899 data: 0.0003
[11-25 14:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:10:15 tlr: 6.3e-05 tnm: 0.50 Lm: 6.547 (6.547) Lt: 5.826 (5.826) Accm: 3.11 (3.11) Acct: 4.78 (4.78) proj_loss: -0.6017 (-0.6017) time: 0.4899 data: 0.0003
[11-25 14:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:10:15 tlr: 6.3e-05 tnm: 0.50 Lm: 6.637 (6.637) Lt: 5.840 (5.840) Accm: 3.13 (3.13) Acct: 4.80 (4.80) proj_loss: -0.5784 (-0.5784) time: 0.4899 data: 0.0003
[11-25 14:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:10:15 tlr: 6.3e-05 tnm: 0.50 Lm: 6.631 (6.631) Lt: 5.896 (5.896) Accm: 2.83 (2.83) Acct: 4.53 (4.53) proj_loss: -0.5968 (-0.5968) time: 0.4899 data: 0.0003
[11-25 14:08:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:06:52 tlr: 6.3e-05 tnm: 0.48 Lm: 6.610 (6.600) Lt: 5.876 (5.890) Accm: 3.04 (3.13) Acct: 5.03 (4.84) proj_loss: -0.6023 (-0.6008) time: 0.4877 data: 0.0003
[11-25 14:08:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:06:52 tlr: 6.3e-05 tnm: 0.48 Lm: 6.480 (6.480) Lt: 5.701 (5.720) Accm: 3.56 (3.59) Acct: 5.70 (5.70) proj_loss: -0.5977 (-0.5996) time: 0.4877 data: 0.0003
[11-25 14:08:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:06:52 tlr: 6.3e-05 tnm: 0.48 Lm: 6.560 (6.585) Lt: 5.900 (5.868) Accm: 2.96 (3.03) Acct: 4.51 (4.67) proj_loss: -0.5933 (-0.5989) time: 0.4877 data: 0.0003
[11-25 14:08:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:06:52 tlr: 6.3e-05 tnm: 0.48 Lm: 6.553 (6.588) Lt: 5.740 (5.805) Accm: 3.21 (3.15) Acct: 4.94 (4.85) proj_loss: -0.5841 (-0.5907) time: 0.4877 data: 0.0002
[11-25 14:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:03:28 tlr: 6.2e-05 tnm: 0.48 Lm: 6.521 (6.548) Lt: 5.738 (5.777) Accm: 3.33 (3.23) Acct: 5.00 (4.90) proj_loss: -0.5945 (-0.5943) time: 0.5450 data: 0.0003
[11-25 14:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:03:28 tlr: 6.2e-05 tnm: 0.48 Lm: 6.530 (6.518) Lt: 5.771 (5.774) Accm: 3.50 (3.51) Acct: 5.54 (5.58) proj_loss: -0.5997 (-0.6001) time: 0.5449 data: 0.0003
[11-25 14:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:03:28 tlr: 6.2e-05 tnm: 0.48 Lm: 6.547 (6.559) Lt: 5.826 (5.831) Accm: 3.11 (3.09) Acct: 4.78 (4.85) proj_loss: -0.5927 (-0.5969) time: 0.5449 data: 0.0003
[11-25 14:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:03:28 tlr: 6.2e-05 tnm: 0.48 Lm: 6.602 (6.599) Lt: 5.858 (5.877) Accm: 3.11 (3.14) Acct: 5.08 (4.91) proj_loss: -0.6055 (-0.6043) time: 0.5450 data: 0.0003
[11-25 14:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.47 Lm: 6.610 (6.614) Lt: 5.866 (5.875) Accm: 3.04 (3.10) Acct: 5.03 (4.89) proj_loss: -0.6023 (-0.6035) time: 0.4931 data: 0.0021
[11-25 14:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:14:03 (0.506 s / it)
[11-25 14:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.47 Lm: 6.560 (6.587) Lt: 5.900 (5.852) Accm: 2.96 (3.04) Acct: 4.51 (4.76) proj_loss: -0.5922 (-0.5927) time: 0.4931 data: 0.0018
[11-25 14:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.47 Lm: 6.553 (6.554) Lt: 5.740 (5.787) Accm: 3.21 (3.17) Acct: 4.94 (4.83) proj_loss: -0.5958 (-0.5946) time: 0.4931 data: 0.0018
[11-25 14:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.47 Lm: 6.567 (6.527) Lt: 5.820 (5.784) Accm: 3.45 (3.45) Acct: 5.39 (5.45) proj_loss: -0.6016 (-0.6026) time: 0.4931 data: 0.0022
[11-25 14:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:14:03 (0.506 s / it)
[11-25 14:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:14:03 (0.506 s / it)
[11-25 14:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:14:03 (0.506 s / it)
[11-25 14:15:23] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.568 (6.576), Lt: 5.824 (5.837), Acc m&t: 3.21 5.06, Remain: 18:54:38, Finish: 2024-11-25 17:10
[11-25 14:15:23] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.568 (6.576), Lt: 5.824 (5.837), Acc m&t: 3.21 5.06, Remain: 18:54:39, Finish: 2024-11-25 17:10
[11-25 14:15:23] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.568 (6.576), Lt: 5.824 (5.837), Acc m&t: 3.21 5.06, Remain: 18:54:31, Finish: 2024-11-25 17:09
[11-25 14:15:23] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.568 (6.576), Lt: 5.824 (5.837), Acc m&t: 3.21 5.06, Remain: 18:54:26, Finish: 2024-11-25 17:09
[11-25 14:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:13:06 tlr: 6.2e-05 tnm: 0.49 Lm: 6.611 (6.611) Lt: 5.874 (5.874) Accm: 3.36 (3.36) Acct: 5.30 (5.30) proj_loss: -0.6015 (-0.6015) time: 0.4710 data: 0.0003
[11-25 14:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:13:06 tlr: 6.2e-05 tnm: 0.49 Lm: 6.501 (6.501) Lt: 5.760 (5.760) Accm: 3.66 (3.66) Acct: 5.79 (5.79) proj_loss: -0.6073 (-0.6073) time: 0.4715 data: 0.0004
[11-25 14:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:13:06 tlr: 6.2e-05 tnm: 0.49 Lm: 6.533 (6.533) Lt: 5.766 (5.766) Accm: 3.66 (3.66) Acct: 5.84 (5.84) proj_loss: -0.6159 (-0.6159) time: 0.4715 data: 0.0004
[11-25 14:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:13:07 tlr: 6.2e-05 tnm: 0.49 Lm: 6.542 (6.542) Lt: 5.804 (5.804) Accm: 3.12 (3.12) Acct: 4.96 (4.96) proj_loss: -0.6129 (-0.6129) time: 0.4716 data: 0.0004
[11-25 14:18:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:10:46 tlr: 6.2e-05 tnm: 0.51 Lm: 6.571 (6.571) Lt: 5.832 (5.832) Accm: 3.09 (3.09) Acct: 4.83 (4.83) proj_loss: -0.6122 (-0.6122) time: 0.5452 data: 0.0003
[11-25 14:18:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:10:46 tlr: 6.2e-05 tnm: 0.51 Lm: 6.532 (6.532) Lt: 5.766 (5.766) Accm: 3.50 (3.50) Acct: 5.48 (5.48) proj_loss: -0.6041 (-0.6041) time: 0.5452 data: 0.0003
[11-25 14:18:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:10:46 tlr: 6.2e-05 tnm: 0.51 Lm: 6.583 (6.583) Lt: 5.849 (5.849) Accm: 3.27 (3.27) Acct: 5.17 (5.17) proj_loss: -0.5954 (-0.5954) time: 0.5452 data: 0.0003
[11-25 14:18:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:10:46 tlr: 6.2e-05 tnm: 0.51 Lm: 6.627 (6.627) Lt: 5.874 (5.874) Accm: 3.10 (3.10) Acct: 5.02 (5.02) proj_loss: -0.5922 (-0.5922) time: 0.5452 data: 0.0003
[11-25 14:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:07:03 tlr: 6.2e-05 tnm: 0.51 Lm: 6.635 (6.630) Lt: 5.874 (5.875) Accm: 2.88 (3.02) Acct: 4.73 (4.86) proj_loss: -0.5984 (-0.5943) time: 0.4920 data: 0.0003
[11-25 14:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:07:03 tlr: 6.2e-05 tnm: 0.51 Lm: 6.533 (6.561) Lt: 5.766 (5.806) Accm: 3.33 (3.40) Acct: 5.11 (5.30) proj_loss: -0.6067 (-0.6050) time: 0.4920 data: 0.0003
[11-25 14:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:07:03 tlr: 6.2e-05 tnm: 0.51 Lm: 6.542 (6.519) Lt: 5.804 (5.768) Accm: 3.12 (3.24) Acct: 4.96 (5.05) proj_loss: -0.6115 (-0.6099) time: 0.4920 data: 0.0003
[11-25 14:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:07:03 tlr: 6.2e-05 tnm: 0.51 Lm: 6.561 (6.576) Lt: 5.837 (5.845) Accm: 3.32 (3.29) Acct: 5.27 (5.21) proj_loss: -0.5835 (-0.5901) time: 0.4920 data: 0.0003
[11-25 14:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:03:29 tlr: 6.2e-05 tnm: 0.49 Lm: 6.567 (6.575) Lt: 5.857 (5.853) Accm: 3.31 (3.29) Acct: 5.17 (5.17) proj_loss: -0.5954 (-0.5969) time: 0.4885 data: 0.0003
[11-25 14:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:03:29 tlr: 6.2e-05 tnm: 0.49 Lm: 6.538 (6.557) Lt: 5.775 (5.800) Accm: 3.36 (3.39) Acct: 5.17 (5.28) proj_loss: -0.5995 (-0.6004) time: 0.4885 data: 0.0003
[11-25 14:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:03:29 tlr: 6.2e-05 tnm: 0.49 Lm: 6.623 (6.620) Lt: 5.874 (5.866) Accm: 3.00 (3.05) Acct: 4.79 (4.86) proj_loss: -0.5953 (-0.5938) time: 0.4885 data: 0.0005
[11-25 14:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:03:29 tlr: 6.2e-05 tnm: 0.49 Lm: 6.512 (6.510) Lt: 5.782 (5.766) Accm: 3.25 (3.28) Acct: 5.17 (5.14) proj_loss: -0.6122 (-0.6130) time: 0.4886 data: 0.0003
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.51 Lm: 6.542 (6.523) Lt: 5.804 (5.785) Accm: 3.17 (3.25) Acct: 4.96 (5.08) proj_loss: -0.6115 (-0.6115) time: 0.5464 data: 0.0017
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:13:59 (0.503 s / it)
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.51 Lm: 6.613 (6.618) Lt: 5.874 (5.876) Accm: 2.95 (3.03) Acct: 4.73 (4.74) proj_loss: -0.5984 (-0.5971) time: 0.5463 data: 0.0013
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.51 Lm: 6.572 (6.580) Lt: 5.854 (5.853) Accm: 3.29 (3.21) Acct: 5.06 (5.06) proj_loss: -0.5876 (-0.5951) time: 0.5464 data: 0.0016
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.51 Lm: 6.543 (6.560) Lt: 5.784 (5.812) Accm: 3.33 (3.34) Acct: 5.11 (5.18) proj_loss: -0.5998 (-0.6003) time: 0.5464 data: 0.0018
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:13:59 (0.503 s / it)
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:13:59 (0.503 s / it)
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:13:59 (0.503 s / it)
[11-25 14:29:23] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.563 (6.563), Lt: 5.822 (5.822), Acc m&t: 3.23 5.09, Remain: 18:42:38, Finish: 2024-11-25 17:12
[11-25 14:29:23] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.563 (6.563), Lt: 5.822 (5.822), Acc m&t: 3.23 5.09, Remain: 18:42:45, Finish: 2024-11-25 17:12
[11-25 14:29:23] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.563 (6.563), Lt: 5.822 (5.822), Acc m&t: 3.23 5.09, Remain: 18:43:01, Finish: 2024-11-25 17:12
[11-25 14:29:23] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.563 (6.563), Lt: 5.822 (5.822), Acc m&t: 3.23 5.09, Remain: 18:42:56, Finish: 2024-11-25 17:12
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:13:34 tlr: 6.1e-05 tnm: 0.48 Lm: 6.610 (6.610) Lt: 5.932 (5.932) Accm: 3.31 (3.31) Acct: 5.35 (5.35) proj_loss: -0.6059 (-0.6059) time: 0.4880 data: 0.0004
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:13:13 tlr: 6.1e-05 tnm: 0.48 Lm: 6.626 (6.626) Lt: 5.917 (5.917) Accm: 3.02 (3.02) Acct: 4.68 (4.68) proj_loss: -0.5943 (-0.5943) time: 0.4757 data: 0.0004
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:13:34 tlr: 6.1e-05 tnm: 0.48 Lm: 6.409 (6.409) Lt: 5.645 (5.645) Accm: 3.66 (3.66) Acct: 5.66 (5.66) proj_loss: -0.6141 (-0.6141) time: 0.4883 data: 0.0003
[11-25 14:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:13:41 tlr: 6.1e-05 tnm: 0.48 Lm: 6.606 (6.606) Lt: 5.873 (5.873) Accm: 2.84 (2.84) Acct: 4.63 (4.63) proj_loss: -0.6089 (-0.6089) time: 0.4922 data: 0.0004
[11-25 14:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:10:41 tlr: 6.1e-05 tnm: 0.51 Lm: 6.511 (6.511) Lt: 5.742 (5.742) Accm: 3.32 (3.32) Acct: 5.31 (5.31) proj_loss: -0.6039 (-0.6039) time: 0.4891 data: 0.0003
[11-25 14:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:10:41 tlr: 6.1e-05 tnm: 0.51 Lm: 6.625 (6.625) Lt: 5.916 (5.916) Accm: 3.13 (3.13) Acct: 4.89 (4.89) proj_loss: -0.5995 (-0.5995) time: 0.4891 data: 0.0003
[11-25 14:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:10:41 tlr: 6.1e-05 tnm: 0.51 Lm: 6.563 (6.563) Lt: 5.829 (5.829) Accm: 3.26 (3.26) Acct: 5.08 (5.08) proj_loss: -0.6058 (-0.6058) time: 0.4891 data: 0.0003
[11-25 14:32:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:10:41 tlr: 6.1e-05 tnm: 0.51 Lm: 6.487 (6.487) Lt: 5.711 (5.711) Accm: 3.41 (3.41) Acct: 5.31 (5.31) proj_loss: -0.5990 (-0.5990) time: 0.4891 data: 0.0003
[11-25 14:36:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:07:07 tlr: 6.1e-05 tnm: 0.50 Lm: 6.446 (6.473) Lt: 5.690 (5.704) Accm: 3.66 (3.49) Acct: 5.66 (5.46) proj_loss: -0.6087 (-0.6022) time: 0.5433 data: 0.0003
[11-25 14:36:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:07:07 tlr: 6.1e-05 tnm: 0.50 Lm: 6.531 (6.552) Lt: 5.742 (5.800) Accm: 3.31 (3.27) Acct: 5.34 (5.17) proj_loss: -0.6174 (-0.6097) time: 0.5433 data: 0.0003
[11-25 14:36:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:07:07 tlr: 6.1e-05 tnm: 0.50 Lm: 6.610 (6.559) Lt: 5.900 (5.844) Accm: 3.31 (3.34) Acct: 5.35 (5.16) proj_loss: -0.6006 (-0.5999) time: 0.5433 data: 0.0003
[11-25 14:36:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:07:07 tlr: 6.1e-05 tnm: 0.50 Lm: 6.415 (6.473) Lt: 5.621 (5.702) Accm: 3.57 (3.40) Acct: 5.65 (5.42) proj_loss: -0.6035 (-0.6038) time: 0.5433 data: 0.0003
[11-25 14:40:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:03:35 tlr: 6.1e-05 tnm: 0.50 Lm: 6.511 (6.507) Lt: 5.747 (5.750) Accm: 3.38 (3.35) Acct: 5.35 (5.33) proj_loss: -0.6062 (-0.6070) time: 0.4920 data: 0.0003
[11-25 14:40:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:03:35 tlr: 6.1e-05 tnm: 0.50 Lm: 6.522 (6.528) Lt: 5.800 (5.805) Accm: 3.47 (3.42) Acct: 5.53 (5.32) proj_loss: -0.5973 (-0.5984) time: 0.4920 data: 0.0003
[11-25 14:40:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:03:35 tlr: 6.1e-05 tnm: 0.50 Lm: 6.505 (6.498) Lt: 5.734 (5.736) Accm: 3.41 (3.37) Acct: 5.31 (5.27) proj_loss: -0.6051 (-0.6020) time: 0.4920 data: 0.0003
[11-25 14:40:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:03:35 tlr: 6.1e-05 tnm: 0.50 Lm: 6.515 (6.522) Lt: 5.741 (5.752) Accm: 3.40 (3.37) Acct: 5.41 (5.38) proj_loss: -0.6107 (-0.6082) time: 0.4920 data: 0.0003
[11-25 14:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.51 Lm: 6.500 (6.509) Lt: 5.741 (5.744) Accm: 3.50 (3.43) Acct: 5.48 (5.46) proj_loss: -0.6039 (-0.6050) time: 0.4902 data: 0.0018
[11-25 14:43:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:14:13 (0.511 s / it)
[11-25 14:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.51 Lm: 6.565 (6.541) Lt: 5.778 (5.800) Accm: 3.15 (3.24) Acct: 4.96 (5.06) proj_loss: -0.6087 (-0.6043) time: 0.4902 data: 0.0017
[11-25 14:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.51 Lm: 6.508 (6.507) Lt: 5.754 (5.751) Accm: 3.19 (3.32) Acct: 5.04 (5.24) proj_loss: -0.6039 (-0.6063) time: 0.4902 data: 0.0020
[11-25 14:43:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.51 Lm: 6.594 (6.541) Lt: 5.883 (5.821) Accm: 3.31 (3.38) Acct: 5.35 (5.23) proj_loss: -0.5989 (-0.5985) time: 0.4902 data: 0.0015
[11-25 14:43:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:14:13 (0.511 s / it)
[11-25 14:43:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:14:13 (0.511 s / it)
[11-25 14:43:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:14:13 (0.511 s / it)
[11-25 14:45:55] (home/user/VAR/trainer.py, line 114)=> FID: 3.460895437727345
[11-25 14:45:56] (/home/user/VAR/train.py , line 259)=> [*] [ep269] (val 50000) Lm: 6.5771, Lt: 5.8351, Acc m&t: 3.19 5.03, Val cost: 138.84s
[11-25 14:45:56] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 14:46:25] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.563 (6.577), Lt: 5.822 (5.835), Acc m&t: 3.23 5.09, Remain: 18:24:05, Finish: 2024-11-25 17:07
[11-25 14:46:25] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.563 (6.577), Lt: 5.822 (5.835), Acc m&t: 3.23 5.09, Remain: 18:23:45, Finish: 2024-11-25 17:07
[11-25 14:46:25] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.563 (6.577), Lt: 5.822 (5.835), Acc m&t: 3.23 5.09, Remain: 18:23:28, Finish: 2024-11-25 17:07
[11-25 14:46:25] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.563 (6.577), Lt: 5.822 (5.835), Acc m&t: 3.23 5.09, Remain: 18:23:40, Finish: 2024-11-25 17:07
[11-25 14:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:12:53 tlr: 6.1e-05 tnm: 0.50 Lm: 6.706 (6.706) Lt: 5.965 (5.965) Accm: 3.00 (3.00) Acct: 4.94 (4.94) proj_loss: -0.5976 (-0.5976) time: 0.4636 data: 0.0004
[11-25 14:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:12:56 tlr: 6.1e-05 tnm: 0.50 Lm: 6.515 (6.515) Lt: 5.793 (5.793) Accm: 3.34 (3.34) Acct: 5.41 (5.41) proj_loss: -0.5992 (-0.5992) time: 0.4650 data: 0.0003
[11-25 14:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:12:55 tlr: 6.1e-05 tnm: 0.50 Lm: 6.667 (6.667) Lt: 5.994 (5.994) Accm: 2.99 (2.99) Acct: 4.70 (4.70) proj_loss: -0.5920 (-0.5920) time: 0.4645 data: 0.0004
[11-25 14:46:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:13:23 tlr: 6.1e-05 tnm: 0.50 Lm: 6.439 (6.439) Lt: 5.683 (5.683) Accm: 3.70 (3.70) Acct: 5.94 (5.94) proj_loss: -0.5934 (-0.5934) time: 0.4817 data: 0.0004
[11-25 14:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:10:18 tlr: 6.1e-05 tnm: 0.48 Lm: 6.636 (6.636) Lt: 5.902 (5.902) Accm: 3.13 (3.13) Acct: 4.92 (4.92) proj_loss: -0.6004 (-0.6004) time: 0.4918 data: 0.0003
[11-25 14:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:10:18 tlr: 6.1e-05 tnm: 0.48 Lm: 6.595 (6.595) Lt: 5.822 (5.822) Accm: 3.34 (3.34) Acct: 5.40 (5.40) proj_loss: -0.5893 (-0.5893) time: 0.4918 data: 0.0003
[11-25 14:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:10:18 tlr: 6.1e-05 tnm: 0.48 Lm: 6.577 (6.577) Lt: 5.846 (5.846) Accm: 3.25 (3.25) Acct: 5.11 (5.11) proj_loss: -0.5924 (-0.5924) time: 0.4918 data: 0.0003
[11-25 14:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:10:18 tlr: 6.1e-05 tnm: 0.48 Lm: 6.566 (6.566) Lt: 5.845 (5.845) Accm: 3.24 (3.24) Acct: 5.08 (5.08) proj_loss: -0.5794 (-0.5794) time: 0.4918 data: 0.0003
[11-25 14:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:06:51 tlr: 6e-05 tnm: 0.49 Lm: 6.571 (6.567) Lt: 5.779 (5.823) Accm: 3.22 (3.23) Acct: 4.86 (5.00) proj_loss: -0.5920 (-0.5849) time: 0.4870 data: 0.0003
[11-25 14:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:06:51 tlr: 6e-05 tnm: 0.49 Lm: 6.484 (6.543) Lt: 5.678 (5.761) Accm: 3.25 (3.31) Acct: 4.94 (5.24) proj_loss: -0.5976 (-0.5959) time: 0.4870 data: 0.0003
[11-25 14:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:06:51 tlr: 6e-05 tnm: 0.49 Lm: 6.648 (6.640) Lt: 5.863 (5.889) Accm: 2.81 (3.02) Acct: 4.65 (4.83) proj_loss: -0.5934 (-0.5906) time: 0.4870 data: 0.0003
[11-25 14:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:06:51 tlr: 6e-05 tnm: 0.49 Lm: 6.639 (6.616) Lt: 5.900 (5.879) Accm: 3.15 (3.07) Acct: 4.82 (4.84) proj_loss: -0.5992 (-0.5988) time: 0.4870 data: 0.0003
[11-25 14:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:03:29 tlr: 6e-05 tnm: 0.49 Lm: 6.577 (6.569) Lt: 5.846 (5.832) Accm: 3.25 (3.26) Acct: 5.11 (5.12) proj_loss: -0.6019 (-0.6002) time: 0.4915 data: 0.0003
[11-25 14:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:03:29 tlr: 6e-05 tnm: 0.49 Lm: 6.518 (6.535) Lt: 5.753 (5.799) Accm: 3.33 (3.29) Acct: 5.09 (5.08) proj_loss: -0.5940 (-0.5894) time: 0.4915 data: 0.0003
[11-25 14:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:03:29 tlr: 6e-05 tnm: 0.49 Lm: 6.544 (6.584) Lt: 5.773 (5.822) Accm: 3.26 (3.25) Acct: 5.29 (5.15) proj_loss: -0.5882 (-0.5887) time: 0.4915 data: 0.0003
[11-25 14:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:03:29 tlr: 6e-05 tnm: 0.49 Lm: 6.572 (6.572) Lt: 5.786 (5.794) Accm: 3.13 (3.13) Acct: 4.93 (4.98) proj_loss: -0.5946 (-0.5948) time: 0.4915 data: 0.0003
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.50 Lm: 6.632 (6.584) Lt: 5.894 (5.816) Accm: 3.09 (3.12) Acct: 4.92 (4.92) proj_loss: -0.5916 (-0.5914) time: 0.4914 data: 0.0019
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:14:09 (0.509 s / it)
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.50 Lm: 6.571 (6.577) Lt: 5.779 (5.835) Accm: 3.22 (3.17) Acct: 4.86 (4.94) proj_loss: -0.5920 (-0.5897) time: 0.4914 data: 0.0017
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.50 Lm: 6.639 (6.604) Lt: 5.900 (5.863) Accm: 3.15 (3.13) Acct: 4.82 (4.99) proj_loss: -0.5992 (-0.5997) time: 0.4914 data: 0.0018
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.50 Lm: 6.610 (6.590) Lt: 5.850 (5.828) Accm: 3.08 (3.22) Acct: 4.92 (5.11) proj_loss: -0.5934 (-0.5938) time: 0.4914 data: 0.0015
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:14:09 (0.509 s / it)
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:14:09 (0.509 s / it)
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:14:09 (0.509 s / it)
[11-25 15:00:35] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.563 (6.572), Lt: 5.822 (5.829), Acc m&t: 3.23 5.09, Remain: 18:12:29, Finish: 2024-11-25 17:13
[11-25 15:00:35] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.563 (6.572), Lt: 5.822 (5.829), Acc m&t: 3.23 5.09, Remain: 18:12:07, Finish: 2024-11-25 17:12
[11-25 15:00:35] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.563 (6.572), Lt: 5.822 (5.829), Acc m&t: 3.23 5.09, Remain: 18:12:14, Finish: 2024-11-25 17:12
[11-25 15:00:35] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.563 (6.572), Lt: 5.822 (5.829), Acc m&t: 3.23 5.09, Remain: 18:12:18, Finish: 2024-11-25 17:12
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:12:46 tlr: 6e-05 tnm: 0.49 Lm: 6.704 (6.704) Lt: 5.943 (5.943) Accm: 2.84 (2.84) Acct: 4.70 (4.70) proj_loss: -0.5982 (-0.5982) time: 0.4592 data: 0.0004
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:12:46 tlr: 6e-05 tnm: 0.49 Lm: 6.653 (6.653) Lt: 5.955 (5.955) Accm: 2.72 (2.72) Acct: 4.15 (4.15) proj_loss: -0.5695 (-0.5695) time: 0.4591 data: 0.0004
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:13:21 tlr: 6e-05 tnm: 0.49 Lm: 6.527 (6.527) Lt: 5.715 (5.715) Accm: 3.31 (3.31) Acct: 5.61 (5.61) proj_loss: -0.5842 (-0.5842) time: 0.4803 data: 0.0004
[11-25 15:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:12:47 tlr: 6e-05 tnm: 0.49 Lm: 6.501 (6.501) Lt: 5.778 (5.778) Accm: 3.30 (3.30) Acct: 5.10 (5.10) proj_loss: -0.6052 (-0.6052) time: 0.4596 data: 0.0004
[11-25 15:04:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:10:40 tlr: 6e-05 tnm: 0.50 Lm: 6.637 (6.637) Lt: 5.916 (5.916) Accm: 2.99 (2.99) Acct: 4.71 (4.71) proj_loss: -0.6027 (-0.6027) time: 0.4907 data: 0.0003
[11-25 15:04:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:10:40 tlr: 6e-05 tnm: 0.50 Lm: 6.488 (6.488) Lt: 5.711 (5.711) Accm: 3.37 (3.37) Acct: 5.54 (5.54) proj_loss: -0.6011 (-0.6011) time: 0.4907 data: 0.0003
[11-25 15:04:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:10:40 tlr: 6e-05 tnm: 0.50 Lm: 6.601 (6.601) Lt: 5.835 (5.835) Accm: 3.11 (3.11) Acct: 4.96 (4.96) proj_loss: -0.5905 (-0.5905) time: 0.4907 data: 0.0003
[11-25 15:04:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:10:40 tlr: 6e-05 tnm: 0.50 Lm: 6.606 (6.606) Lt: 5.872 (5.872) Accm: 3.06 (3.06) Acct: 4.80 (4.80) proj_loss: -0.5694 (-0.5694) time: 0.4907 data: 0.0003
[11-25 15:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:06:58 tlr: 6e-05 tnm: 0.49 Lm: 6.558 (6.576) Lt: 5.790 (5.822) Accm: 3.39 (3.22) Acct: 5.44 (5.03) proj_loss: -0.5695 (-0.5788) time: 0.4900 data: 0.0003
[11-25 15:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:06:58 tlr: 6e-05 tnm: 0.49 Lm: 6.597 (6.600) Lt: 5.846 (5.838) Accm: 2.94 (3.05) Acct: 4.91 (4.94) proj_loss: -0.5969 (-0.6019) time: 0.4900 data: 0.0003
[11-25 15:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:06:58 tlr: 6e-05 tnm: 0.49 Lm: 6.735 (6.670) Lt: 5.998 (5.943) Accm: 2.68 (2.87) Acct: 4.32 (4.57) proj_loss: -0.6001 (-0.5993) time: 0.4900 data: 0.0003
[11-25 15:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:06:58 tlr: 6e-05 tnm: 0.49 Lm: 6.439 (6.472) Lt: 5.689 (5.703) Accm: 3.74 (3.49) Acct: 5.58 (5.56) proj_loss: -0.6040 (-0.6034) time: 0.4900 data: 0.0003
[11-25 15:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:03:27 tlr: 5.9e-05 tnm: 0.49 Lm: 6.432 (6.460) Lt: 5.655 (5.683) Accm: 3.60 (3.49) Acct: 5.66 (5.60) proj_loss: -0.6011 (-0.6014) time: 0.4903 data: 0.0003
[11-25 15:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:03:27 tlr: 5.9e-05 tnm: 0.49 Lm: 6.584 (6.592) Lt: 5.836 (5.835) Accm: 3.12 (3.12) Acct: 5.11 (5.03) proj_loss: -0.6066 (-0.6055) time: 0.4903 data: 0.0003
[11-25 15:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:03:27 tlr: 5.9e-05 tnm: 0.49 Lm: 6.620 (6.629) Lt: 5.888 (5.895) Accm: 2.99 (3.04) Acct: 4.71 (4.78) proj_loss: -0.5979 (-0.5984) time: 0.4903 data: 0.0003
[11-25 15:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:03:27 tlr: 5.9e-05 tnm: 0.49 Lm: 6.537 (6.559) Lt: 5.773 (5.805) Accm: 3.47 (3.31) Acct: 5.46 (5.14) proj_loss: -0.5814 (-0.5825) time: 0.4903 data: 0.0003
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.50 Lm: 6.516 (6.531) Lt: 5.756 (5.766) Accm: 3.55 (3.39) Acct: 5.48 (5.28) proj_loss: -0.5820 (-0.5824) time: 0.4917 data: 0.0019
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:13:57 (0.502 s / it)
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.50 Lm: 6.439 (6.495) Lt: 5.689 (5.721) Accm: 3.47 (3.42) Acct: 5.58 (5.52) proj_loss: -0.5982 (-0.5970) time: 0.4917 data: 0.0015
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.50 Lm: 6.597 (6.620) Lt: 5.846 (5.852) Accm: 2.94 (3.00) Acct: 4.91 (4.83) proj_loss: -0.5969 (-0.5982) time: 0.4917 data: 0.0017
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.50 Lm: 6.596 (6.622) Lt: 5.880 (5.892) Accm: 3.17 (3.07) Acct: 5.10 (4.85) proj_loss: -0.6001 (-0.6007) time: 0.4917 data: 0.0017
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:13:57 (0.502 s / it)
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:13:57 (0.502 s / it)
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:13:57 (0.502 s / it)
[11-25 15:14:32] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.563 (6.572), Lt: 5.822 (5.828), Acc m&t: 3.23 5.09, Remain: 17:56:02, Finish: 2024-11-25 17:10
[11-25 15:14:32] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.563 (6.572), Lt: 5.822 (5.828), Acc m&t: 3.23 5.09, Remain: 17:55:45, Finish: 2024-11-25 17:10
[11-25 15:14:32] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.563 (6.572), Lt: 5.822 (5.828), Acc m&t: 3.23 5.09, Remain: 17:56:13, Finish: 2024-11-25 17:10
[11-25 15:14:32] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.563 (6.572), Lt: 5.822 (5.828), Acc m&t: 3.23 5.09, Remain: 17:56:20, Finish: 2024-11-25 17:10
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:13:08 tlr: 5.9e-05 tnm: 0.53 Lm: 6.439 (6.439) Lt: 5.624 (5.624) Accm: 3.63 (3.63) Acct: 5.72 (5.72) proj_loss: -0.5946 (-0.5946) time: 0.4727 data: 0.0004
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:12:58 tlr: 5.9e-05 tnm: 0.53 Lm: 6.616 (6.616) Lt: 5.868 (5.868) Accm: 3.13 (3.13) Acct: 4.99 (4.99) proj_loss: -0.6227 (-0.6227) time: 0.4663 data: 0.0003
[11-25 15:14:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:13:09 tlr: 5.9e-05 tnm: 0.53 Lm: 6.611 (6.611) Lt: 5.931 (5.931) Accm: 3.01 (3.01) Acct: 4.70 (4.70) proj_loss: -0.6079 (-0.6079) time: 0.4732 data: 0.0004
[11-25 15:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:13:09 tlr: 5.9e-05 tnm: 0.53 Lm: 6.401 (6.401) Lt: 5.630 (5.630) Accm: 3.68 (3.68) Acct: 6.01 (6.01) proj_loss: -0.5984 (-0.5984) time: 0.4727 data: 0.0004
[11-25 15:18:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:10:42 tlr: 5.9e-05 tnm: 0.50 Lm: 6.491 (6.491) Lt: 5.720 (5.720) Accm: 3.39 (3.39) Acct: 5.39 (5.39) proj_loss: -0.5976 (-0.5976) time: 0.4900 data: 0.0003
[11-25 15:18:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:10:42 tlr: 5.9e-05 tnm: 0.50 Lm: 6.559 (6.559) Lt: 5.834 (5.834) Accm: 3.15 (3.15) Acct: 4.91 (4.91) proj_loss: -0.6013 (-0.6013) time: 0.4900 data: 0.0003
[11-25 15:18:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:10:42 tlr: 5.9e-05 tnm: 0.50 Lm: 6.547 (6.547) Lt: 5.779 (5.779) Accm: 3.22 (3.22) Acct: 5.19 (5.19) proj_loss: -0.5909 (-0.5909) time: 0.4900 data: 0.0003
[11-25 15:18:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:10:42 tlr: 5.9e-05 tnm: 0.50 Lm: 6.570 (6.570) Lt: 5.808 (5.808) Accm: 3.17 (3.17) Acct: 5.05 (5.05) proj_loss: -0.6114 (-0.6114) time: 0.4900 data: 0.0003
[11-25 15:21:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:07:11 tlr: 5.9e-05 tnm: 0.49 Lm: 6.616 (6.587) Lt: 5.868 (5.836) Accm: 3.22 (3.22) Acct: 5.11 (5.16) proj_loss: -0.6165 (-0.6131) time: 0.5920 data: 0.0003
[11-25 15:21:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:07:11 tlr: 5.9e-05 tnm: 0.49 Lm: 6.611 (6.601) Lt: 5.925 (5.865) Accm: 3.12 (3.14) Acct: 5.11 (5.02) proj_loss: -0.5948 (-0.5946) time: 0.5920 data: 0.0003
[11-25 15:21:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:07:11 tlr: 5.9e-05 tnm: 0.49 Lm: 6.424 (6.469) Lt: 5.700 (5.713) Accm: 3.66 (3.48) Acct: 5.56 (5.45) proj_loss: -0.5984 (-0.6075) time: 0.5920 data: 0.0003
[11-25 15:21:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:07:11 tlr: 5.9e-05 tnm: 0.49 Lm: 6.533 (6.542) Lt: 5.782 (5.780) Accm: 3.36 (3.26) Acct: 5.37 (5.25) proj_loss: -0.5946 (-0.6014) time: 0.5920 data: 0.0003
[11-25 15:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:03:35 tlr: 5.9e-05 tnm: 0.50 Lm: 6.557 (6.552) Lt: 5.830 (5.804) Accm: 3.22 (3.22) Acct: 5.03 (5.11) proj_loss: -0.6038 (-0.6043) time: 0.4891 data: 0.0003
[11-25 15:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:03:35 tlr: 5.9e-05 tnm: 0.50 Lm: 6.619 (6.605) Lt: 5.878 (5.849) Accm: 3.18 (3.20) Acct: 5.10 (5.14) proj_loss: -0.6083 (-0.6094) time: 0.4891 data: 0.0003
[11-25 15:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:03:35 tlr: 5.9e-05 tnm: 0.50 Lm: 6.559 (6.553) Lt: 5.831 (5.797) Accm: 3.21 (3.29) Acct: 5.17 (5.29) proj_loss: -0.5913 (-0.5929) time: 0.4891 data: 0.0003
[11-25 15:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:03:35 tlr: 5.9e-05 tnm: 0.50 Lm: 6.468 (6.479) Lt: 5.698 (5.709) Accm: 3.55 (3.47) Acct: 5.62 (5.51) proj_loss: -0.6081 (-0.6101) time: 0.4891 data: 0.0003
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.51 Lm: 6.512 (6.494) Lt: 5.700 (5.715) Accm: 3.45 (3.47) Acct: 5.56 (5.50) proj_loss: -0.5984 (-0.6060) time: 0.4899 data: 0.0016
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:14:08 (0.508 s / it)
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.51 Lm: 6.533 (6.535) Lt: 5.782 (5.773) Accm: 3.36 (3.25) Acct: 5.37 (5.17) proj_loss: -0.5946 (-0.6011) time: 0.4899 data: 0.0018
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.51 Lm: 6.616 (6.591) Lt: 5.868 (5.834) Accm: 3.22 (3.25) Acct: 5.11 (5.22) proj_loss: -0.6001 (-0.6064) time: 0.4899 data: 0.0013
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.51 Lm: 6.611 (6.587) Lt: 5.925 (5.832) Accm: 3.12 (3.22) Acct: 5.11 (5.21) proj_loss: -0.5948 (-0.5947) time: 0.4899 data: 0.0016
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:14:08 (0.508 s / it)
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:14:08 (0.508 s / it)
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:14:08 (0.508 s / it)
[11-25 15:28:41] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.559 (6.559), Lt: 5.813 (5.813), Acc m&t: 3.26 5.13, Remain: 17:45:00, Finish: 2024-11-25 17:13
[11-25 15:28:41] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.559 (6.559), Lt: 5.813 (5.813), Acc m&t: 3.26 5.13, Remain: 17:44:49, Finish: 2024-11-25 17:13
[11-25 15:28:41] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.559 (6.559), Lt: 5.813 (5.813), Acc m&t: 3.26 5.13, Remain: 17:45:09, Finish: 2024-11-25 17:13
[11-25 15:28:41] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.559 (6.559), Lt: 5.813 (5.813), Acc m&t: 3.26 5.13, Remain: 17:45:05, Finish: 2024-11-25 17:13
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:13:43 tlr: 5.9e-05 tnm: 0.53 Lm: 6.573 (6.573) Lt: 5.844 (5.844) Accm: 3.06 (3.06) Acct: 5.08 (5.08) proj_loss: -0.6235 (-0.6235) time: 0.4935 data: 0.0003
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:13:44 tlr: 5.9e-05 tnm: 0.53 Lm: 6.470 (6.470) Lt: 5.692 (5.692) Accm: 3.79 (3.79) Acct: 5.80 (5.80) proj_loss: -0.5855 (-0.5855) time: 0.4937 data: 0.0004
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:13:44 tlr: 5.9e-05 tnm: 0.53 Lm: 6.539 (6.539) Lt: 5.750 (5.750) Accm: 3.33 (3.33) Acct: 5.42 (5.42) proj_loss: -0.5910 (-0.5910) time: 0.4939 data: 0.0004
[11-25 15:28:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:13:46 tlr: 5.9e-05 tnm: 0.53 Lm: 6.462 (6.462) Lt: 5.689 (5.689) Accm: 3.47 (3.47) Acct: 5.35 (5.35) proj_loss: -0.6028 (-0.6028) time: 0.4952 data: 0.0003
[11-25 15:32:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:10:22 tlr: 5.8e-05 tnm: 0.50 Lm: 6.477 (6.477) Lt: 5.712 (5.712) Accm: 3.49 (3.49) Acct: 5.23 (5.23) proj_loss: -0.6122 (-0.6122) time: 0.4880 data: 0.0003
[11-25 15:32:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:10:22 tlr: 5.8e-05 tnm: 0.50 Lm: 6.555 (6.555) Lt: 5.820 (5.820) Accm: 3.33 (3.33) Acct: 5.00 (5.00) proj_loss: -0.6024 (-0.6024) time: 0.4880 data: 0.0003
[11-25 15:32:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:10:22 tlr: 5.8e-05 tnm: 0.50 Lm: 6.591 (6.591) Lt: 5.883 (5.883) Accm: 3.09 (3.09) Acct: 4.88 (4.88) proj_loss: -0.6128 (-0.6128) time: 0.4880 data: 0.0003
[11-25 15:32:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:10:22 tlr: 5.8e-05 tnm: 0.50 Lm: 6.580 (6.580) Lt: 5.818 (5.818) Accm: 3.28 (3.28) Acct: 5.35 (5.35) proj_loss: -0.5953 (-0.5953) time: 0.4880 data: 0.0003
[11-25 15:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:06:55 tlr: 5.8e-05 tnm: 0.50 Lm: 6.539 (6.500) Lt: 5.750 (5.751) Accm: 3.33 (3.57) Acct: 5.42 (5.65) proj_loss: -0.5996 (-0.6032) time: 0.4924 data: 0.0003
[11-25 15:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:06:55 tlr: 5.8e-05 tnm: 0.50 Lm: 6.462 (6.443) Lt: 5.689 (5.682) Accm: 3.50 (3.55) Acct: 5.35 (5.45) proj_loss: -0.6093 (-0.6112) time: 0.4924 data: 0.0003
[11-25 15:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:06:55 tlr: 5.8e-05 tnm: 0.50 Lm: 6.573 (6.544) Lt: 5.844 (5.808) Accm: 3.13 (3.25) Acct: 5.08 (5.07) proj_loss: -0.6020 (-0.6045) time: 0.4924 data: 0.0003
[11-25 15:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:06:55 tlr: 5.8e-05 tnm: 0.50 Lm: 6.470 (6.522) Lt: 5.692 (5.767) Accm: 3.62 (3.43) Acct: 5.80 (5.29) proj_loss: -0.5885 (-0.5978) time: 0.4924 data: 0.0003
[11-25 15:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:03:31 tlr: 5.8e-05 tnm: 0.53 Lm: 6.547 (6.548) Lt: 5.785 (5.795) Accm: 3.35 (3.34) Acct: 5.39 (5.21) proj_loss: -0.5966 (-0.5995) time: 0.5952 data: 0.0003
[11-25 15:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:03:31 tlr: 5.8e-05 tnm: 0.53 Lm: 6.580 (6.543) Lt: 5.806 (5.779) Accm: 3.28 (3.46) Acct: 5.35 (5.51) proj_loss: -0.5953 (-0.5954) time: 0.5952 data: 0.0003
[11-25 15:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:03:31 tlr: 5.8e-05 tnm: 0.53 Lm: 6.477 (6.456) Lt: 5.712 (5.706) Accm: 3.53 (3.55) Acct: 5.39 (5.44) proj_loss: -0.6060 (-0.6081) time: 0.5952 data: 0.0003
[11-25 15:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:03:31 tlr: 5.8e-05 tnm: 0.53 Lm: 6.591 (6.571) Lt: 5.883 (5.843) Accm: 3.16 (3.24) Acct: 5.17 (5.12) proj_loss: -0.6025 (-0.6041) time: 0.5952 data: 0.0003
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.52 Lm: 6.608 (6.580) Lt: 5.872 (5.849) Accm: 3.13 (3.15) Acct: 5.08 (4.96) proj_loss: -0.6020 (-0.6009) time: 0.4919 data: 0.0016
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:14:13 (0.511 s / it)
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.52 Lm: 6.605 (6.559) Lt: 5.878 (5.817) Accm: 3.09 (3.28) Acct: 4.98 (5.04) proj_loss: -0.5951 (-0.5986) time: 0.4919 data: 0.0016
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.52 Lm: 6.620 (6.563) Lt: 5.862 (5.806) Accm: 3.23 (3.38) Acct: 5.27 (5.39) proj_loss: -0.5996 (-0.5975) time: 0.4919 data: 0.0016
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.52 Lm: 6.492 (6.499) Lt: 5.734 (5.755) Accm: 3.50 (3.44) Acct: 5.35 (5.25) proj_loss: -0.6028 (-0.6060) time: 0.4919 data: 0.0017
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:14:13 (0.511 s / it)
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:14:13 (0.511 s / it)
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:14:13 (0.511 s / it)
[11-25 15:42:54] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.559 (6.565), Lt: 5.813 (5.825), Acc m&t: 3.26 5.13, Remain: 17:30:18, Finish: 2024-11-25 17:13
[11-25 15:42:54] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.559 (6.565), Lt: 5.813 (5.825), Acc m&t: 3.26 5.13, Remain: 17:29:22, Finish: 2024-11-25 17:12
[11-25 15:42:54] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.559 (6.565), Lt: 5.813 (5.825), Acc m&t: 3.26 5.13, Remain: 17:30:20, Finish: 2024-11-25 17:13
[11-25 15:42:54] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.559 (6.565), Lt: 5.813 (5.825), Acc m&t: 3.26 5.13, Remain: 17:30:33, Finish: 2024-11-25 17:13
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:12:59 tlr: 5.8e-05 tnm: 0.51 Lm: 6.703 (6.703) Lt: 6.061 (6.061) Accm: 2.54 (2.54) Acct: 3.72 (3.72) proj_loss: -0.6123 (-0.6123) time: 0.4670 data: 0.0004
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:12:57 tlr: 5.8e-05 tnm: 0.51 Lm: 6.546 (6.546) Lt: 5.764 (5.764) Accm: 3.27 (3.27) Acct: 5.18 (5.18) proj_loss: -0.5949 (-0.5949) time: 0.4656 data: 0.0004
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:12:55 tlr: 5.8e-05 tnm: 0.51 Lm: 6.650 (6.650) Lt: 5.908 (5.908) Accm: 2.80 (2.80) Acct: 4.49 (4.49) proj_loss: -0.5825 (-0.5825) time: 0.4644 data: 0.0004
[11-25 15:42:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:13:16 tlr: 5.8e-05 tnm: 0.51 Lm: 6.430 (6.430) Lt: 5.674 (5.674) Accm: 3.74 (3.74) Acct: 5.89 (5.89) proj_loss: -0.5993 (-0.5993) time: 0.4773 data: 0.0003
[11-25 15:46:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:10:31 tlr: 5.8e-05 tnm: 0.50 Lm: 6.538 (6.538) Lt: 5.819 (5.819) Accm: 3.33 (3.33) Acct: 5.23 (5.23) proj_loss: -0.6015 (-0.6015) time: 0.4923 data: 0.0003
[11-25 15:46:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:10:31 tlr: 5.8e-05 tnm: 0.50 Lm: 6.563 (6.563) Lt: 5.804 (5.804) Accm: 3.24 (3.24) Acct: 5.17 (5.17) proj_loss: -0.6007 (-0.6007) time: 0.4923 data: 0.0003
[11-25 15:46:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:10:31 tlr: 5.8e-05 tnm: 0.50 Lm: 6.571 (6.571) Lt: 5.829 (5.829) Accm: 3.12 (3.12) Acct: 4.86 (4.86) proj_loss: -0.5909 (-0.5909) time: 0.4923 data: 0.0003
[11-25 15:46:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:10:31 tlr: 5.8e-05 tnm: 0.50 Lm: 6.636 (6.636) Lt: 5.960 (5.960) Accm: 3.02 (3.02) Acct: 4.42 (4.42) proj_loss: -0.6100 (-0.6100) time: 0.4923 data: 0.0003
[11-25 15:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:06:56 tlr: 5.7e-05 tnm: 0.50 Lm: 6.642 (6.638) Lt: 5.910 (5.943) Accm: 2.90 (2.98) Acct: 4.67 (4.51) proj_loss: -0.6076 (-0.6075) time: 0.4898 data: 0.0003
[11-25 15:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:06:56 tlr: 5.7e-05 tnm: 0.50 Lm: 6.623 (6.589) Lt: 5.894 (5.851) Accm: 3.34 (3.19) Acct: 5.22 (5.00) proj_loss: -0.5993 (-0.6000) time: 0.4898 data: 0.0003
[11-25 15:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:06:56 tlr: 5.7e-05 tnm: 0.50 Lm: 6.581 (6.573) Lt: 5.844 (5.832) Accm: 3.21 (3.15) Acct: 5.15 (4.94) proj_loss: -0.5949 (-0.5981) time: 0.4898 data: 0.0003
[11-25 15:49:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:06:56 tlr: 5.7e-05 tnm: 0.50 Lm: 6.481 (6.519) Lt: 5.787 (5.808) Accm: 3.45 (3.37) Acct: 5.72 (5.39) proj_loss: -0.5993 (-0.5941) time: 0.4898 data: 0.0003
[11-25 15:53:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:03:27 tlr: 5.7e-05 tnm: 0.50 Lm: 6.548 (6.543) Lt: 5.833 (5.826) Accm: 3.19 (3.24) Acct: 5.15 (5.10) proj_loss: -0.5962 (-0.5938) time: 0.4883 data: 0.0003
[11-25 15:53:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:03:27 tlr: 5.7e-05 tnm: 0.50 Lm: 6.627 (6.599) Lt: 5.901 (5.870) Accm: 3.17 (3.14) Acct: 5.03 (4.96) proj_loss: -0.5981 (-0.5992) time: 0.4883 data: 0.0003
[11-25 15:53:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:03:27 tlr: 5.7e-05 tnm: 0.50 Lm: 6.632 (6.634) Lt: 5.902 (5.931) Accm: 2.94 (2.98) Acct: 4.77 (4.60) proj_loss: -0.6051 (-0.6025) time: 0.4883 data: 0.0002
[11-25 15:53:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:03:27 tlr: 5.7e-05 tnm: 0.50 Lm: 6.568 (6.569) Lt: 5.823 (5.824) Accm: 3.24 (3.25) Acct: 5.17 (5.15) proj_loss: -0.5939 (-0.5956) time: 0.4883 data: 0.0003
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.52 Lm: 6.581 (6.590) Lt: 5.844 (5.853) Accm: 3.21 (3.17) Acct: 5.15 (5.06) proj_loss: -0.5930 (-0.5949) time: 0.4935 data: 0.0019
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:13:57 (0.502 s / it)
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.52 Lm: 6.631 (6.633) Lt: 5.908 (5.906) Accm: 2.99 (3.07) Acct: 4.84 (4.89) proj_loss: -0.5993 (-0.6000) time: 0.4935 data: 0.0020
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.52 Lm: 6.642 (6.663) Lt: 5.910 (5.963) Accm: 2.90 (2.88) Acct: 4.67 (4.49) proj_loss: -0.6029 (-0.6026) time: 0.4935 data: 0.0014
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.52 Lm: 6.517 (6.538) Lt: 5.787 (5.814) Accm: 3.13 (3.22) Acct: 4.73 (5.03) proj_loss: -0.5993 (-0.5950) time: 0.4935 data: 0.0017
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:13:57 (0.502 s / it)
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:13:57 (0.502 s / it)
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:13:57 (0.502 s / it)
[11-25 15:56:52] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.559 (6.561), Lt: 5.813 (5.817), Acc m&t: 3.26 5.13, Remain: 17:20:26, Finish: 2024-11-25 17:17
[11-25 15:56:52] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.559 (6.561), Lt: 5.813 (5.817), Acc m&t: 3.26 5.13, Remain: 17:20:18, Finish: 2024-11-25 17:17
[11-25 15:56:52] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.559 (6.561), Lt: 5.813 (5.817), Acc m&t: 3.26 5.13, Remain: 17:20:19, Finish: 2024-11-25 17:17
[11-25 15:56:52] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.559 (6.561), Lt: 5.813 (5.817), Acc m&t: 3.26 5.13, Remain: 17:20:23, Finish: 2024-11-25 17:17
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:13:41 tlr: 5.7e-05 tnm: 0.50 Lm: 6.675 (6.675) Lt: 5.917 (5.917) Accm: 2.77 (2.77) Acct: 4.03 (4.03) proj_loss: -0.5857 (-0.5857) time: 0.4922 data: 0.0004
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:13:41 tlr: 5.7e-05 tnm: 0.50 Lm: 6.578 (6.578) Lt: 5.796 (5.796) Accm: 3.10 (3.10) Acct: 4.98 (4.98) proj_loss: -0.5945 (-0.5945) time: 0.4923 data: 0.0003
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:13:41 tlr: 5.7e-05 tnm: 0.50 Lm: 6.568 (6.568) Lt: 5.847 (5.847) Accm: 3.10 (3.10) Acct: 4.91 (4.91) proj_loss: -0.6065 (-0.6065) time: 0.4923 data: 0.0003
[11-25 15:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:13:42 tlr: 5.7e-05 tnm: 0.50 Lm: 6.640 (6.640) Lt: 5.869 (5.869) Accm: 3.15 (3.15) Acct: 4.86 (4.86) proj_loss: -0.6224 (-0.6224) time: 0.4926 data: 0.0004
[11-25 16:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:10:41 tlr: 5.7e-05 tnm: 0.51 Lm: 6.555 (6.555) Lt: 5.783 (5.783) Accm: 3.35 (3.35) Acct: 5.27 (5.27) proj_loss: -0.6098 (-0.6098) time: 0.4897 data: 0.0007
[11-25 16:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:10:41 tlr: 5.7e-05 tnm: 0.51 Lm: 6.641 (6.641) Lt: 5.933 (5.933) Accm: 2.95 (2.95) Acct: 4.43 (4.43) proj_loss: -0.6039 (-0.6039) time: 0.4896 data: 0.0003
[11-25 16:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:10:41 tlr: 5.7e-05 tnm: 0.51 Lm: 6.567 (6.567) Lt: 5.796 (5.796) Accm: 3.25 (3.25) Acct: 5.08 (5.08) proj_loss: -0.6042 (-0.6042) time: 0.4897 data: 0.0003
[11-25 16:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:10:41 tlr: 5.7e-05 tnm: 0.51 Lm: 6.629 (6.629) Lt: 5.876 (5.876) Accm: 2.90 (2.90) Acct: 4.30 (4.30) proj_loss: -0.5835 (-0.5835) time: 0.4897 data: 0.0003
[11-25 16:04:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:07:12 tlr: 5.7e-05 tnm: 0.51 Lm: 6.583 (6.594) Lt: 5.834 (5.835) Accm: 3.02 (2.99) Acct: 4.56 (4.55) proj_loss: -0.5857 (-0.5923) time: 0.4909 data: 0.0003
[11-25 16:04:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:07:12 tlr: 5.7e-05 tnm: 0.51 Lm: 6.556 (6.482) Lt: 5.795 (5.722) Accm: 3.40 (3.51) Acct: 5.18 (5.45) proj_loss: -0.6139 (-0.6095) time: 0.4909 data: 0.0003
[11-25 16:04:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:07:12 tlr: 5.7e-05 tnm: 0.51 Lm: 6.572 (6.561) Lt: 5.776 (5.781) Accm: 3.31 (3.34) Acct: 5.04 (5.19) proj_loss: -0.6026 (-0.6074) time: 0.4909 data: 0.0003
[11-25 16:04:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:07:12 tlr: 5.7e-05 tnm: 0.51 Lm: 6.589 (6.624) Lt: 5.847 (5.893) Accm: 3.10 (3.09) Acct: 4.91 (4.78) proj_loss: -0.6013 (-0.5939) time: 0.4909 data: 0.0003
[11-25 16:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:03:34 tlr: 5.7e-05 tnm: 0.51 Lm: 6.590 (6.615) Lt: 5.862 (5.889) Accm: 3.22 (3.16) Acct: 5.07 (4.89) proj_loss: -0.5941 (-0.5921) time: 0.4890 data: 0.0003
[11-25 16:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:03:34 tlr: 5.7e-05 tnm: 0.51 Lm: 6.526 (6.541) Lt: 5.793 (5.788) Accm: 3.38 (3.37) Acct: 5.30 (5.29) proj_loss: -0.6125 (-0.6145) time: 0.4890 data: 0.0003
[11-25 16:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:03:34 tlr: 5.7e-05 tnm: 0.51 Lm: 6.553 (6.566) Lt: 5.818 (5.827) Accm: 3.10 (3.13) Acct: 4.81 (4.72) proj_loss: -0.5978 (-0.5975) time: 0.4890 data: 0.0003
[11-25 16:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:03:34 tlr: 5.7e-05 tnm: 0.51 Lm: 6.567 (6.509) Lt: 5.796 (5.763) Accm: 3.37 (3.47) Acct: 5.34 (5.46) proj_loss: -0.6045 (-0.6059) time: 0.4890 data: 0.0003
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.49 Lm: 6.556 (6.515) Lt: 5.795 (5.766) Accm: 3.35 (3.44) Acct: 5.18 (5.40) proj_loss: -0.6030 (-0.6053) time: 0.4928 data: 0.0015
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:14:05 (0.507 s / it)
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.49 Lm: 6.480 (6.520) Lt: 5.776 (5.767) Accm: 3.45 (3.45) Acct: 5.56 (5.36) proj_loss: -0.6191 (-0.6154) time: 0.4928 data: 0.0019
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.49 Lm: 6.583 (6.583) Lt: 5.834 (5.848) Accm: 3.17 (3.16) Acct: 5.06 (4.83) proj_loss: -0.6040 (-0.5988) time: 0.4928 data: 0.0013
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.49 Lm: 6.589 (6.599) Lt: 5.847 (5.864) Accm: 3.10 (3.13) Acct: 5.11 (4.94) proj_loss: -0.6013 (-0.5955) time: 0.4928 data: 0.0017
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:14:05 (0.507 s / it)
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:14:05 (0.507 s / it)
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:14:05 (0.507 s / it)
[11-25 16:10:58] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.559 (6.569), Lt: 5.813 (5.828), Acc m&t: 3.26 5.13, Remain: 17:03:55, Finish: 2024-11-25 17:14
[11-25 16:10:58] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.559 (6.569), Lt: 5.813 (5.828), Acc m&t: 3.26 5.13, Remain: 17:04:23, Finish: 2024-11-25 17:15
[11-25 16:10:58] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.559 (6.569), Lt: 5.813 (5.828), Acc m&t: 3.26 5.13, Remain: 17:03:57, Finish: 2024-11-25 17:14
[11-25 16:10:58] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.559 (6.569), Lt: 5.813 (5.828), Acc m&t: 3.26 5.13, Remain: 17:04:05, Finish: 2024-11-25 17:15
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:13:32 tlr: 5.6e-05 tnm: 0.49 Lm: 6.690 (6.690) Lt: 6.006 (6.006) Accm: 2.91 (2.91) Acct: 4.44 (4.44) proj_loss: -0.5938 (-0.5938) time: 0.4867 data: 0.0004
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:13:32 tlr: 5.6e-05 tnm: 0.49 Lm: 6.701 (6.701) Lt: 5.975 (5.975) Accm: 2.98 (2.98) Acct: 4.49 (4.49) proj_loss: -0.6025 (-0.6025) time: 0.4871 data: 0.0004
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:13:33 tlr: 5.6e-05 tnm: 0.49 Lm: 6.549 (6.549) Lt: 5.871 (5.871) Accm: 3.47 (3.47) Acct: 5.61 (5.61) proj_loss: -0.5904 (-0.5904) time: 0.4871 data: 0.0004
[11-25 16:10:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:13:33 tlr: 5.6e-05 tnm: 0.49 Lm: 6.473 (6.473) Lt: 5.703 (5.703) Accm: 3.53 (3.53) Acct: 5.80 (5.80) proj_loss: -0.5825 (-0.5825) time: 0.4872 data: 0.0003
[11-25 16:14:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:10:20 tlr: 5.6e-05 tnm: 0.49 Lm: 6.486 (6.486) Lt: 5.728 (5.728) Accm: 3.52 (3.52) Acct: 5.49 (5.49) proj_loss: -0.5942 (-0.5942) time: 0.4886 data: 0.0003
[11-25 16:14:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:10:20 tlr: 5.6e-05 tnm: 0.49 Lm: 6.673 (6.673) Lt: 5.936 (5.936) Accm: 2.95 (2.95) Acct: 4.54 (4.54) proj_loss: -0.6037 (-0.6037) time: 0.4886 data: 0.0003
[11-25 16:14:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:10:20 tlr: 5.6e-05 tnm: 0.49 Lm: 6.597 (6.597) Lt: 5.877 (5.877) Accm: 3.27 (3.27) Acct: 5.20 (5.20) proj_loss: -0.5881 (-0.5881) time: 0.4886 data: 0.0003
[11-25 16:14:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:10:20 tlr: 5.6e-05 tnm: 0.49 Lm: 6.697 (6.697) Lt: 6.012 (6.012) Accm: 2.91 (2.91) Acct: 4.47 (4.47) proj_loss: -0.5961 (-0.5961) time: 0.4886 data: 0.0003
[11-25 16:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:07:00 tlr: 5.6e-05 tnm: 0.53 Lm: 6.690 (6.665) Lt: 6.006 (5.969) Accm: 2.91 (3.01) Acct: 4.49 (4.66) proj_loss: -0.5983 (-0.5980) time: 0.5430 data: 0.0003
[11-25 16:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:07:00 tlr: 5.6e-05 tnm: 0.53 Lm: 6.646 (6.613) Lt: 5.897 (5.843) Accm: 2.98 (3.21) Acct: 4.58 (4.99) proj_loss: -0.6025 (-0.6025) time: 0.5430 data: 0.0003
[11-25 16:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:07:00 tlr: 5.6e-05 tnm: 0.53 Lm: 6.499 (6.536) Lt: 5.753 (5.784) Accm: 3.52 (3.35) Acct: 5.18 (5.33) proj_loss: -0.5834 (-0.5906) time: 0.5430 data: 0.0003
[11-25 16:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:07:00 tlr: 5.6e-05 tnm: 0.53 Lm: 6.642 (6.612) Lt: 5.884 (5.883) Accm: 3.07 (3.15) Acct: 4.79 (4.98) proj_loss: -0.5904 (-0.5919) time: 0.5430 data: 0.0003
[11-25 16:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:03:34 tlr: 5.6e-05 tnm: 0.52 Lm: 6.614 (6.606) Lt: 5.877 (5.876) Accm: 3.21 (3.20) Acct: 4.98 (5.03) proj_loss: -0.5938 (-0.5932) time: 0.4918 data: 0.0002
[11-25 16:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:03:34 tlr: 5.6e-05 tnm: 0.52 Lm: 6.646 (6.643) Lt: 5.945 (5.937) Accm: 2.92 (2.99) Acct: 4.47 (4.61) proj_loss: -0.6001 (-0.5999) time: 0.4918 data: 0.0003
[11-25 16:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:03:34 tlr: 5.6e-05 tnm: 0.52 Lm: 6.671 (6.633) Lt: 5.935 (5.876) Accm: 2.99 (3.16) Acct: 4.60 (4.90) proj_loss: -0.6014 (-0.5973) time: 0.4918 data: 0.0003
[11-25 16:21:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:03:34 tlr: 5.6e-05 tnm: 0.52 Lm: 6.538 (6.546) Lt: 5.800 (5.800) Accm: 3.29 (3.28) Acct: 5.09 (5.19) proj_loss: -0.5915 (-0.5928) time: 0.4918 data: 0.0003
[11-25 16:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.51 Lm: 6.499 (6.507) Lt: 5.753 (5.752) Accm: 3.52 (3.35) Acct: 5.18 (5.33) proj_loss: -0.5995 (-0.5947) time: 0.4920 data: 0.0021
[11-25 16:25:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:14:17 (0.514 s / it)
[11-25 16:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.51 Lm: 6.601 (6.615) Lt: 5.884 (5.894) Accm: 2.92 (3.16) Acct: 4.49 (4.90) proj_loss: -0.6019 (-0.6030) time: 0.4920 data: 0.0015
[11-25 16:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.51 Lm: 6.587 (6.580) Lt: 5.871 (5.841) Accm: 3.36 (3.25) Acct: 5.18 (5.14) proj_loss: -0.5951 (-0.5936) time: 0.4920 data: 0.0020
[11-25 16:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.51 Lm: 6.646 (6.625) Lt: 5.921 (5.885) Accm: 3.01 (3.14) Acct: 4.58 (4.79) proj_loss: -0.6002 (-0.5979) time: 0.4921 data: 0.0019
[11-25 16:25:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:14:17 (0.514 s / it)
[11-25 16:25:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:14:17 (0.514 s / it)
[11-25 16:25:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:14:17 (0.514 s / it)
[11-25 16:25:15] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.559 (6.574), Lt: 5.813 (5.833), Acc m&t: 3.26 5.13, Remain: 16:47:56, Finish: 2024-11-25 17:13
[11-25 16:25:15] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.559 (6.574), Lt: 5.813 (5.833), Acc m&t: 3.26 5.13, Remain: 16:48:08, Finish: 2024-11-25 17:13
[11-25 16:25:15] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.559 (6.574), Lt: 5.813 (5.833), Acc m&t: 3.26 5.13, Remain: 16:47:53, Finish: 2024-11-25 17:13
[11-25 16:25:15] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.559 (6.574), Lt: 5.813 (5.833), Acc m&t: 3.26 5.13, Remain: 16:47:45, Finish: 2024-11-25 17:13
[11-25 16:25:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:13:33 tlr: 5.6e-05 tnm: 0.52 Lm: 6.575 (6.575) Lt: 5.847 (5.847) Accm: 3.52 (3.52) Acct: 5.37 (5.37) proj_loss: -0.6062 (-0.6062) time: 0.4875 data: 0.0003
[11-25 16:25:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:13:34 tlr: 5.6e-05 tnm: 0.52 Lm: 6.504 (6.504) Lt: 5.761 (5.761) Accm: 3.21 (3.21) Acct: 4.99 (4.99) proj_loss: -0.5932 (-0.5932) time: 0.4882 data: 0.0004
[11-25 16:25:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:13:34 tlr: 5.6e-05 tnm: 0.52 Lm: 6.579 (6.579) Lt: 5.821 (5.821) Accm: 3.27 (3.27) Acct: 5.20 (5.20) proj_loss: -0.5626 (-0.5626) time: 0.4882 data: 0.0004
[11-25 16:25:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:13:35 tlr: 5.6e-05 tnm: 0.52 Lm: 6.550 (6.550) Lt: 5.818 (5.818) Accm: 3.45 (3.45) Acct: 5.25 (5.25) proj_loss: -0.6121 (-0.6121) time: 0.4886 data: 0.0004
[11-25 16:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:10:21 tlr: 5.5e-05 tnm: 0.53 Lm: 6.498 (6.498) Lt: 5.743 (5.743) Accm: 3.58 (3.58) Acct: 5.45 (5.45) proj_loss: -0.6107 (-0.6107) time: 0.4904 data: 0.0002
[11-25 16:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:10:21 tlr: 5.5e-05 tnm: 0.53 Lm: 6.502 (6.502) Lt: 5.791 (5.791) Accm: 3.12 (3.12) Acct: 4.82 (4.82) proj_loss: -0.6043 (-0.6043) time: 0.4904 data: 0.0003
[11-25 16:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:10:21 tlr: 5.5e-05 tnm: 0.53 Lm: 6.543 (6.543) Lt: 5.792 (5.792) Accm: 3.53 (3.53) Acct: 5.54 (5.54) proj_loss: -0.5997 (-0.5997) time: 0.4903 data: 0.0003
[11-25 16:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:10:21 tlr: 5.5e-05 tnm: 0.53 Lm: 6.591 (6.591) Lt: 5.862 (5.862) Accm: 3.19 (3.19) Acct: 5.16 (5.16) proj_loss: -0.5924 (-0.5924) time: 0.4904 data: 0.0003
[11-25 16:32:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:06:51 tlr: 5.5e-05 tnm: 0.52 Lm: 6.579 (6.516) Lt: 5.821 (5.783) Accm: 3.27 (3.39) Acct: 5.20 (5.41) proj_loss: -0.6139 (-0.5996) time: 0.4856 data: 0.0003
[11-25 16:32:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:06:51 tlr: 5.5e-05 tnm: 0.52 Lm: 6.575 (6.598) Lt: 5.847 (5.851) Accm: 3.52 (3.23) Acct: 5.37 (5.11) proj_loss: -0.5931 (-0.5974) time: 0.4856 data: 0.0003
[11-25 16:32:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:06:51 tlr: 5.5e-05 tnm: 0.52 Lm: 6.504 (6.530) Lt: 5.820 (5.814) Accm: 3.05 (3.10) Acct: 4.99 (4.88) proj_loss: -0.5971 (-0.6019) time: 0.4856 data: 0.0003
[11-25 16:32:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:06:51 tlr: 5.5e-05 tnm: 0.52 Lm: 6.550 (6.540) Lt: 5.818 (5.789) Accm: 3.45 (3.37) Acct: 5.25 (5.18) proj_loss: -0.6092 (-0.6060) time: 0.4856 data: 0.0003
[11-25 16:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:03:28 tlr: 5.5e-05 tnm: 0.51 Lm: 6.515 (6.526) Lt: 5.775 (5.775) Accm: 3.39 (3.36) Acct: 5.18 (5.16) proj_loss: -0.6029 (-0.6025) time: 0.5404 data: 0.0003
[11-25 16:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:03:28 tlr: 5.5e-05 tnm: 0.51 Lm: 6.544 (6.544) Lt: 5.829 (5.820) Accm: 3.13 (3.14) Acct: 5.00 (4.98) proj_loss: -0.5995 (-0.6019) time: 0.5404 data: 0.0003
[11-25 16:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:03:28 tlr: 5.5e-05 tnm: 0.51 Lm: 6.605 (6.607) Lt: 5.835 (5.844) Accm: 3.29 (3.19) Acct: 5.18 (5.08) proj_loss: -0.5948 (-0.5972) time: 0.5404 data: 0.0003
[11-25 16:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:03:28 tlr: 5.5e-05 tnm: 0.51 Lm: 6.555 (6.520) Lt: 5.777 (5.770) Accm: 3.43 (3.44) Acct: 5.42 (5.47) proj_loss: -0.6139 (-0.6032) time: 0.5404 data: 0.0003
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.52 Lm: 6.546 (6.525) Lt: 5.810 (5.778) Accm: 3.50 (3.45) Acct: 5.65 (5.52) proj_loss: -0.6139 (-0.6047) time: 0.5493 data: 0.0019
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:14:01 (0.504 s / it)
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.52 Lm: 6.575 (6.577) Lt: 5.822 (5.816) Accm: 3.51 (3.25) Acct: 5.37 (5.17) proj_loss: -0.5965 (-0.5998) time: 0.5493 data: 0.0015
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.52 Lm: 6.544 (6.544) Lt: 5.820 (5.819) Accm: 3.12 (3.13) Acct: 4.99 (4.97) proj_loss: -0.6019 (-0.6036) time: 0.5493 data: 0.0019
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.52 Lm: 6.525 (6.525) Lt: 5.733 (5.765) Accm: 3.45 (3.39) Acct: 5.25 (5.29) proj_loss: -0.5966 (-0.5999) time: 0.5493 data: 0.0017
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:14:01 (0.504 s / it)
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:14:01 (0.504 s / it)
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:14:01 (0.504 s / it)
[11-25 16:39:17] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.559 (6.564), Lt: 5.813 (5.821), Acc m&t: 3.26 5.13, Remain: 16:33:43, Finish: 2024-11-25 17:13
[11-25 16:39:17] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.559 (6.564), Lt: 5.813 (5.821), Acc m&t: 3.26 5.13, Remain: 16:34:06, Finish: 2024-11-25 17:13
[11-25 16:39:17] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.559 (6.564), Lt: 5.813 (5.821), Acc m&t: 3.26 5.13, Remain: 16:33:47, Finish: 2024-11-25 17:13
[11-25 16:39:17] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.559 (6.564), Lt: 5.813 (5.821), Acc m&t: 3.26 5.13, Remain: 16:33:55, Finish: 2024-11-25 17:13
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:13:41 tlr: 5.5e-05 tnm: 0.52 Lm: 6.620 (6.620) Lt: 5.908 (5.908) Accm: 3.29 (3.29) Acct: 5.11 (5.11) proj_loss: -0.6007 (-0.6007) time: 0.4922 data: 0.0003
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:13:42 tlr: 5.5e-05 tnm: 0.52 Lm: 6.513 (6.513) Lt: 5.840 (5.840) Accm: 3.58 (3.58) Acct: 5.44 (5.44) proj_loss: -0.5854 (-0.5854) time: 0.4927 data: 0.0003
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:13:42 tlr: 5.5e-05 tnm: 0.52 Lm: 6.430 (6.430) Lt: 5.644 (5.644) Accm: 3.64 (3.64) Acct: 5.75 (5.75) proj_loss: -0.6206 (-0.6206) time: 0.4928 data: 0.0004
[11-25 16:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:13:43 tlr: 5.5e-05 tnm: 0.52 Lm: 6.482 (6.482) Lt: 5.756 (5.756) Accm: 3.37 (3.37) Acct: 5.06 (5.06) proj_loss: -0.6093 (-0.6093) time: 0.4931 data: 0.0004
[11-25 16:42:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 417/1669] eta: 0:10:32 tlr: 5.5e-05 tnm: 0.50 Lm: 6.523 (6.523) Lt: 5.795 (5.795) Accm: 3.35 (3.35) Acct: 5.02 (5.02) proj_loss: -0.6102 (-0.6102) time: 0.4903 data: 0.0003
[11-25 16:42:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 417/1669] eta: 0:10:32 tlr: 5.5e-05 tnm: 0.50 Lm: 6.645 (6.645) Lt: 5.920 (5.920) Accm: 3.04 (3.04) Acct: 4.72 (4.72) proj_loss: -0.6037 (-0.6037) time: 0.4903 data: 0.0003
[11-25 16:42:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 417/1669] eta: 0:10:32 tlr: 5.5e-05 tnm: 0.50 Lm: 6.567 (6.567) Lt: 5.788 (5.788) Accm: 3.17 (3.17) Acct: 4.98 (4.98) proj_loss: -0.6050 (-0.6050) time: 0.4903 data: 0.0003
[11-25 16:42:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 417/1669] eta: 0:10:32 tlr: 5.5e-05 tnm: 0.50 Lm: 6.588 (6.588) Lt: 5.877 (5.877) Accm: 3.17 (3.17) Acct: 5.01 (5.01) proj_loss: -0.5883 (-0.5883) time: 0.4903 data: 0.0003
[11-25 16:46:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 834/1669] eta: 0:07:07 tlr: 5.5e-05 tnm: 0.52 Lm: 6.563 (6.580) Lt: 5.840 (5.853) Accm: 3.24 (3.19) Acct: 5.15 (5.06) proj_loss: -0.5912 (-0.5958) time: 0.4891 data: 0.0003
[11-25 16:46:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 834/1669] eta: 0:07:07 tlr: 5.5e-05 tnm: 0.52 Lm: 6.620 (6.564) Lt: 5.908 (5.826) Accm: 3.29 (3.30) Acct: 5.11 (5.14) proj_loss: -0.6067 (-0.6073) time: 0.4891 data: 0.0003
[11-25 16:46:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 834/1669] eta: 0:07:07 tlr: 5.5e-05 tnm: 0.52 Lm: 6.563 (6.537) Lt: 5.792 (5.794) Accm: 3.34 (3.33) Acct: 5.06 (5.11) proj_loss: -0.6093 (-0.5990) time: 0.4891 data: 0.0003
[11-25 16:46:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 834/1669] eta: 0:07:07 tlr: 5.5e-05 tnm: 0.52 Lm: 6.555 (6.563) Lt: 5.811 (5.796) Accm: 3.36 (3.23) Acct: 5.23 (5.06) proj_loss: -0.6206 (-0.6152) time: 0.4891 data: 0.0003
[11-25 16:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1251/1669] eta: 0:03:31 tlr: 5.4e-05 tnm: 0.52 Lm: 6.531 (6.549) Lt: 5.798 (5.793) Accm: 3.27 (3.22) Acct: 4.98 (4.98) proj_loss: -0.6128 (-0.6127) time: 0.4897 data: 0.0003
[11-25 16:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1251/1669] eta: 0:03:31 tlr: 5.4e-05 tnm: 0.52 Lm: 6.529 (6.526) Lt: 5.779 (5.787) Accm: 3.35 (3.37) Acct: 5.18 (5.20) proj_loss: -0.6074 (-0.6006) time: 0.4897 data: 0.0003
[11-25 16:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1251/1669] eta: 0:03:31 tlr: 5.4e-05 tnm: 0.52 Lm: 6.610 (6.573) Lt: 5.877 (5.831) Accm: 3.10 (3.21) Acct: 4.92 (5.03) proj_loss: -0.6046 (-0.6061) time: 0.4897 data: 0.0003
[11-25 16:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1251/1669] eta: 0:03:31 tlr: 5.4e-05 tnm: 0.52 Lm: 6.570 (6.579) Lt: 5.852 (5.856) Accm: 3.15 (3.16) Acct: 4.95 (4.98) proj_loss: -0.6010 (-0.6005) time: 0.4897 data: 0.0003
[11-25 16:53:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1668/1669] eta: 0:00:00 tlr: 5.4e-05 tnm: 0.52 Lm: 6.563 (6.568) Lt: 5.840 (5.831) Accm: 3.24 (3.22) Acct: 5.15 (5.07) proj_loss: -0.5912 (-0.5982) time: 0.4916 data: 0.0018
[11-25 16:53:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 278/350] Total time: 0:13:59 (0.503 s / it)
[11-25 16:53:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1668/1669] eta: 0:00:00 tlr: 5.4e-05 tnm: 0.52 Lm: 6.543 (6.529) Lt: 5.792 (5.790) Accm: 3.34 (3.36) Acct: 5.18 (5.19) proj_loss: -0.6093 (-0.6030) time: 0.4916 data: 0.0019
[11-25 16:53:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1668/1669] eta: 0:00:00 tlr: 5.4e-05 tnm: 0.52 Lm: 6.555 (6.569) Lt: 5.811 (5.825) Accm: 3.18 (3.17) Acct: 4.73 (4.93) proj_loss: -0.6051 (-0.6100) time: 0.4916 data: 0.0017
[11-25 16:53:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [1668/1669] eta: 0:00:00 tlr: 5.4e-05 tnm: 0.52 Lm: 6.600 (6.568) Lt: 5.845 (5.828) Accm: 3.21 (3.21) Acct: 5.11 (5.09) proj_loss: -0.6067 (-0.6070) time: 0.4916 data: 0.0013
[11-25 16:53:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 278/350] Total time: 0:13:59 (0.503 s / it)
[11-25 16:53:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 278/350] Total time: 0:13:59 (0.503 s / it)
[11-25 16:53:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 278/350] Total time: 0:13:59 (0.503 s / it)
[11-25 16:53:16] (/home/user/VAR/train.py , line 276)=> [ep278] (training ) Lm: 6.559 (6.572), Lt: 5.813 (5.833), Acc m&t: 3.26 5.13, Remain: 16:24:48, Finish: 2024-11-25 17:18
[11-25 16:53:16] (/home/user/VAR/train.py , line 276)=> [ep278] (training ) Lm: 6.559 (6.572), Lt: 5.813 (5.833), Acc m&t: 3.26 5.13, Remain: 16:24:52, Finish: 2024-11-25 17:18
[11-25 16:53:16] (/home/user/VAR/train.py , line 276)=> [ep278] (training ) Lm: 6.559 (6.572), Lt: 5.813 (5.833), Acc m&t: 3.26 5.13, Remain: 16:24:41, Finish: 2024-11-25 17:17
[11-25 16:53:16] (/home/user/VAR/train.py , line 276)=> [ep278] (training ) Lm: 6.559 (6.572), Lt: 5.813 (5.833), Acc m&t: 3.26 5.13, Remain: 16:24:55, Finish: 2024-11-25 17:18
[11-25 16:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 0/1669] eta: 0:13:28 tlr: 5.4e-05 tnm: 0.52 Lm: 6.603 (6.603) Lt: 5.816 (5.816) Accm: 3.32 (3.32) Acct: 5.61 (5.61) proj_loss: -0.5923 (-0.5923) time: 0.4847 data: 0.0004
[11-25 16:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 0/1669] eta: 0:13:28 tlr: 5.4e-05 tnm: 0.52 Lm: 6.645 (6.645) Lt: 5.923 (5.923) Accm: 3.02 (3.02) Acct: 4.79 (4.79) proj_loss: -0.5858 (-0.5858) time: 0.4846 data: 0.0005
[11-25 16:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 0/1669] eta: 0:13:29 tlr: 5.4e-05 tnm: 0.52 Lm: 6.688 (6.688) Lt: 5.984 (5.984) Accm: 2.97 (2.97) Acct: 4.77 (4.77) proj_loss: -0.6070 (-0.6070) time: 0.4851 data: 0.0004
[11-25 16:53:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 0/1669] eta: 0:13:29 tlr: 5.4e-05 tnm: 0.52 Lm: 6.466 (6.466) Lt: 5.774 (5.774) Accm: 3.53 (3.53) Acct: 5.46 (5.46) proj_loss: -0.6058 (-0.6058) time: 0.4852 data: 0.0004
[11-25 16:56:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 417/1669] eta: 0:10:21 tlr: 5.4e-05 tnm: 0.53 Lm: 6.522 (6.522) Lt: 5.789 (5.789) Accm: 3.34 (3.34) Acct: 5.20 (5.20) proj_loss: -0.6080 (-0.6080) time: 0.5438 data: 0.0003
[11-25 16:56:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 417/1669] eta: 0:10:21 tlr: 5.4e-05 tnm: 0.53 Lm: 6.683 (6.683) Lt: 5.962 (5.962) Accm: 2.90 (2.90) Acct: 4.57 (4.57) proj_loss: -0.6089 (-0.6089) time: 0.5438 data: 0.0003
[11-25 16:56:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 417/1669] eta: 0:10:21 tlr: 5.4e-05 tnm: 0.53 Lm: 6.591 (6.591) Lt: 5.880 (5.880) Accm: 3.07 (3.07) Acct: 4.75 (4.75) proj_loss: -0.5965 (-0.5965) time: 0.5438 data: 0.0003
[11-25 16:56:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 417/1669] eta: 0:10:21 tlr: 5.4e-05 tnm: 0.53 Lm: 6.532 (6.532) Lt: 5.750 (5.750) Accm: 3.52 (3.52) Acct: 5.62 (5.62) proj_loss: -0.5940 (-0.5940) time: 0.5438 data: 0.0003
[11-25 17:00:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 834/1669] eta: 0:07:03 tlr: 5.4e-05 tnm: 0.52 Lm: 6.603 (6.563) Lt: 5.816 (5.805) Accm: 3.32 (3.39) Acct: 5.61 (5.38) proj_loss: -0.5956 (-0.5971) time: 0.5517 data: 0.0003
[11-25 17:00:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 834/1669] eta: 0:07:03 tlr: 5.4e-05 tnm: 0.52 Lm: 6.537 (6.527) Lt: 5.786 (5.788) Accm: 3.15 (3.28) Acct: 4.94 (5.11) proj_loss: -0.6058 (-0.6031) time: 0.5517 data: 0.0003
[11-25 17:00:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 834/1669] eta: 0:07:03 tlr: 5.4e-05 tnm: 0.52 Lm: 6.569 (6.584) Lt: 5.838 (5.838) Accm: 3.12 (3.19) Acct: 4.79 (5.14) proj_loss: -0.6020 (-0.5983) time: 0.5517 data: 0.0003
[11-25 17:00:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [ 834/1669] eta: 0:07:03 tlr: 5.4e-05 tnm: 0.52 Lm: 6.678 (6.673) Lt: 5.940 (5.945) Accm: 2.83 (2.87) Acct: 4.46 (4.53) proj_loss: -0.6070 (-0.6035) time: 0.5517 data: 0.0003
[11-25 17:04:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1251/1669] eta: 0:03:35 tlr: 5.4e-05 tnm: 0.53 Lm: 6.665 (6.641) Lt: 5.925 (5.909) Accm: 2.90 (3.04) Acct: 4.61 (4.80) proj_loss: -0.5997 (-0.6004) time: 0.4912 data: 0.0003
[11-25 17:04:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1251/1669] eta: 0:03:35 tlr: 5.4e-05 tnm: 0.53 Lm: 6.552 (6.537) Lt: 5.795 (5.802) Accm: 3.15 (3.23) Acct: 4.93 (4.99) proj_loss: -0.6069 (-0.6043) time: 0.4912 data: 0.0003
[11-25 17:04:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1251/1669] eta: 0:03:35 tlr: 5.4e-05 tnm: 0.53 Lm: 6.602 (6.596) Lt: 5.865 (5.851) Accm: 3.22 (3.22) Acct: 5.04 (5.18) proj_loss: -0.6012 (-0.5988) time: 0.4912 data: 0.0003
[11-25 17:04:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1251/1669] eta: 0:03:35 tlr: 5.4e-05 tnm: 0.53 Lm: 6.585 (6.564) Lt: 5.789 (5.794) Accm: 3.27 (3.35) Acct: 5.36 (5.31) proj_loss: -0.5940 (-0.5920) time: 0.4912 data: 0.0003
[11-25 17:07:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.51 Lm: 6.566 (6.562) Lt: 5.803 (5.796) Accm: 3.32 (3.36) Acct: 5.51 (5.35) proj_loss: -0.5956 (-0.5928) time: 0.4964 data: 0.0020
[11-25 17:07:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 279/350] Total time: 0:14:19 (0.515 s / it)
[11-25 17:07:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.51 Lm: 6.537 (6.516) Lt: 5.786 (5.772) Accm: 3.15 (3.35) Acct: 4.94 (5.16) proj_loss: -0.6079 (-0.6055) time: 0.4964 data: 0.0018
[11-25 17:07:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.51 Lm: 6.653 (6.620) Lt: 5.911 (5.882) Accm: 2.97 (3.10) Acct: 4.77 (4.90) proj_loss: -0.5925 (-0.5946) time: 0.4964 data: 0.0019
[11-25 17:07:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 279/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.51 Lm: 6.569 (6.590) Lt: 5.838 (5.842) Accm: 3.12 (3.18) Acct: 4.79 (5.10) proj_loss: -0.6003 (-0.5972) time: 0.4964 data: 0.0018
[11-25 17:07:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 279/350] Total time: 0:14:19 (0.515 s / it)
[11-25 17:07:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 279/350] Total time: 0:14:19 (0.515 s / it)
[11-25 17:07:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 279/350] Total time: 0:14:19 (0.515 s / it)
[11-25 17:09:50] (home/user/VAR/trainer.py, line 114)=> FID: 3.3907968192291946
[11-25 17:09:50] (/home/user/VAR/train.py , line 259)=> [*] [ep279] (val 50000) Lm: 6.5563, Lt: 5.8110, Acc m&t: 3.27 5.14, Val cost: 134.67s
[11-25 17:09:50] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 17:10:20] (/home/user/VAR/train.py , line 276)=> [ep279] (training ) Lm: 6.556 (6.556), Lt: 5.811 (5.811), Acc m&t: 3.27 5.14, Remain: 16:11:09, Finish: 2024-11-25 17:18
[11-25 17:10:20] (/home/user/VAR/train.py , line 276)=> [ep279] (training ) Lm: 6.556 (6.556), Lt: 5.811 (5.811), Acc m&t: 3.27 5.14, Remain: 16:10:49, Finish: 2024-11-25 17:18
[11-25 17:10:20] (/home/user/VAR/train.py , line 276)=> [ep279] (training ) Lm: 6.556 (6.556), Lt: 5.811 (5.811), Acc m&t: 3.27 5.14, Remain: 16:10:52, Finish: 2024-11-25 17:18
[11-25 17:10:20] (/home/user/VAR/train.py , line 276)=> [ep279] (training ) Lm: 6.556 (6.556), Lt: 5.811 (5.811), Acc m&t: 3.27 5.14, Remain: 16:10:50, Finish: 2024-11-25 17:18
[11-25 17:10:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 0/1669] eta: 0:13:51 tlr: 5.3e-05 tnm: 0.50 Lm: 6.759 (6.759) Lt: 6.142 (6.142) Accm: 2.73 (2.73) Acct: 4.30 (4.30) proj_loss: -0.6290 (-0.6290) time: 0.4984 data: 0.0004
[11-25 17:10:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 0/1669] eta: 0:13:50 tlr: 5.3e-05 tnm: 0.50 Lm: 6.452 (6.452) Lt: 5.672 (5.672) Accm: 3.49 (3.49) Acct: 5.89 (5.89) proj_loss: -0.6007 (-0.6007) time: 0.4977 data: 0.0004
[11-25 17:10:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 0/1669] eta: 0:14:02 tlr: 5.3e-05 tnm: 0.50 Lm: 6.478 (6.478) Lt: 5.731 (5.731) Accm: 3.38 (3.38) Acct: 5.48 (5.48) proj_loss: -0.6156 (-0.6156) time: 0.5051 data: 0.0004
[11-25 17:10:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 0/1669] eta: 0:13:51 tlr: 5.3e-05 tnm: 0.50 Lm: 6.556 (6.556) Lt: 5.805 (5.805) Accm: 3.06 (3.06) Acct: 4.94 (4.94) proj_loss: -0.5910 (-0.5910) time: 0.4980 data: 0.0003
[11-25 17:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 417/1669] eta: 0:10:14 tlr: 5.3e-05 tnm: 0.52 Lm: 6.587 (6.587) Lt: 5.828 (5.828) Accm: 3.03 (3.03) Acct: 4.71 (4.71) proj_loss: -0.5947 (-0.5947) time: 0.4905 data: 0.0003
[11-25 17:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 417/1669] eta: 0:10:14 tlr: 5.3e-05 tnm: 0.52 Lm: 6.691 (6.691) Lt: 6.019 (6.019) Accm: 2.94 (2.94) Acct: 4.50 (4.50) proj_loss: -0.6212 (-0.6212) time: 0.4905 data: 0.0003
[11-25 17:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 417/1669] eta: 0:10:14 tlr: 5.3e-05 tnm: 0.52 Lm: 6.522 (6.522) Lt: 5.790 (5.790) Accm: 3.30 (3.30) Acct: 5.21 (5.21) proj_loss: -0.6074 (-0.6074) time: 0.4905 data: 0.0003
[11-25 17:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 417/1669] eta: 0:10:14 tlr: 5.3e-05 tnm: 0.52 Lm: 6.432 (6.432) Lt: 5.660 (5.660) Accm: 3.68 (3.68) Acct: 6.06 (6.06) proj_loss: -0.5996 (-0.5996) time: 0.4906 data: 0.0003
[11-25 17:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 834/1669] eta: 0:06:49 tlr: 5.3e-05 tnm: 0.53 Lm: 6.452 (6.480) Lt: 5.672 (5.732) Accm: 3.49 (3.54) Acct: 5.89 (5.62) proj_loss: -0.5984 (-0.5988) time: 0.4918 data: 0.0003
[11-25 17:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 834/1669] eta: 0:06:49 tlr: 5.3e-05 tnm: 0.53 Lm: 6.497 (6.514) Lt: 5.779 (5.786) Accm: 3.29 (3.29) Acct: 4.94 (5.10) proj_loss: -0.6017 (-0.6055) time: 0.4918 data: 0.0003
[11-25 17:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 834/1669] eta: 0:06:49 tlr: 5.3e-05 tnm: 0.53 Lm: 6.556 (6.530) Lt: 5.805 (5.772) Accm: 3.06 (3.35) Acct: 4.94 (5.18) proj_loss: -0.5984 (-0.5988) time: 0.4918 data: 0.0003
[11-25 17:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [ 834/1669] eta: 0:06:49 tlr: 5.3e-05 tnm: 0.53 Lm: 6.623 (6.658) Lt: 5.896 (5.970) Accm: 3.09 (2.99) Acct: 4.48 (4.49) proj_loss: -0.6134 (-0.6183) time: 0.4918 data: 0.0003
[11-25 17:20:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1251/1669] eta: 0:03:29 tlr: 5.3e-05 tnm: 0.51 Lm: 6.608 (6.641) Lt: 5.907 (5.957) Accm: 3.09 (3.02) Acct: 4.59 (4.55) proj_loss: -0.6212 (-0.6238) time: 0.5968 data: 0.0003
[11-25 17:20:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1251/1669] eta: 0:03:29 tlr: 5.3e-05 tnm: 0.51 Lm: 6.512 (6.514) Lt: 5.775 (5.766) Accm: 3.41 (3.45) Acct: 5.23 (5.26) proj_loss: -0.6026 (-0.6008) time: 0.5968 data: 0.0003
[11-25 17:20:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1251/1669] eta: 0:03:29 tlr: 5.3e-05 tnm: 0.51 Lm: 6.503 (6.513) Lt: 5.769 (5.780) Accm: 3.33 (3.37) Acct: 5.21 (5.21) proj_loss: -0.6005 (-0.6012) time: 0.5968 data: 0.0003
[11-25 17:20:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1251/1669] eta: 0:03:29 tlr: 5.3e-05 tnm: 0.51 Lm: 6.514 (6.509) Lt: 5.740 (5.751) Accm: 3.37 (3.43) Acct: 5.39 (5.44) proj_loss: -0.5996 (-0.6003) time: 0.5968 data: 0.0003
[11-25 17:24:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.54 Lm: 6.576 (6.549) Lt: 5.809 (5.805) Accm: 3.26 (3.35) Acct: 4.89 (5.28) proj_loss: -0.6007 (-0.6036) time: 0.4881 data: 0.0020
[11-25 17:24:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 280/350] Total time: 0:13:58 (0.502 s / it)
[11-25 17:24:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.54 Lm: 6.507 (6.513) Lt: 5.745 (5.755) Accm: 3.47 (3.45) Acct: 5.53 (5.37) proj_loss: -0.5984 (-0.5979) time: 0.4881 data: 0.0017
[11-25 17:24:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.54 Lm: 6.497 (6.509) Lt: 5.760 (5.770) Accm: 3.32 (3.36) Acct: 5.03 (5.17) proj_loss: -0.5993 (-0.5975) time: 0.4881 data: 0.0015
[11-25 17:24:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 280/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-05 tnm: 0.54 Lm: 6.593 (6.627) Lt: 5.896 (5.938) Accm: 3.10 (3.06) Acct: 4.70 (4.58) proj_loss: -0.6134 (-0.6189) time: 0.4881 data: 0.0017
[11-25 17:24:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 280/350] Total time: 0:13:58 (0.502 s / it)
[11-25 17:24:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 280/350] Total time: 0:13:58 (0.502 s / it)
[11-25 17:24:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 280/350] Total time: 0:13:58 (0.502 s / it)
[11-25 17:24:18] (/home/user/VAR/train.py , line 276)=> [ep280] (training ) Lm: 6.556 (6.565), Lt: 5.811 (5.823), Acc m&t: 3.27 5.14, Remain: 15:47:26, Finish: 2024-11-25 17:11
[11-25 17:24:18] (/home/user/VAR/train.py , line 276)=> [ep280] (training ) Lm: 6.556 (6.565), Lt: 5.811 (5.823), Acc m&t: 3.27 5.14, Remain: 15:47:13, Finish: 2024-11-25 17:11
[11-25 17:24:18] (/home/user/VAR/train.py , line 276)=> [ep280] (training ) Lm: 6.556 (6.565), Lt: 5.811 (5.823), Acc m&t: 3.27 5.14, Remain: 15:46:53, Finish: 2024-11-25 17:11
[11-25 17:24:18] (/home/user/VAR/train.py , line 276)=> [ep280] (training ) Lm: 6.556 (6.565), Lt: 5.811 (5.823), Acc m&t: 3.27 5.14, Remain: 15:47:32, Finish: 2024-11-25 17:11
[11-25 17:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 0/1669] eta: 0:13:06 tlr: 5.3e-05 tnm: 0.52 Lm: 6.520 (6.520) Lt: 5.787 (5.787) Accm: 3.47 (3.47) Acct: 5.34 (5.34) proj_loss: -0.5977 (-0.5977) time: 0.4710 data: 0.0004
[11-25 17:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 0/1669] eta: 0:13:05 tlr: 5.3e-05 tnm: 0.52 Lm: 6.594 (6.594) Lt: 5.823 (5.823) Accm: 2.85 (2.85) Acct: 4.51 (4.51) proj_loss: -0.5995 (-0.5995) time: 0.4708 data: 0.0004
[11-25 17:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 0/1669] eta: 0:13:35 tlr: 5.3e-05 tnm: 0.52 Lm: 6.720 (6.720) Lt: 6.015 (6.015) Accm: 2.80 (2.80) Acct: 4.30 (4.30) proj_loss: -0.6003 (-0.6003) time: 0.4885 data: 0.0004
[11-25 17:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 0/1669] eta: 0:13:07 tlr: 5.3e-05 tnm: 0.52 Lm: 6.638 (6.638) Lt: 5.909 (5.909) Accm: 2.96 (2.96) Acct: 4.61 (4.61) proj_loss: -0.5826 (-0.5826) time: 0.4716 data: 0.0004
[11-25 17:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 417/1669] eta: 0:10:52 tlr: 5.3e-05 tnm: 0.52 Lm: 6.550 (6.550) Lt: 5.824 (5.824) Accm: 3.21 (3.21) Acct: 4.83 (4.83) proj_loss: -0.5899 (-0.5899) time: 0.4930 data: 0.0003
[11-25 17:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 417/1669] eta: 0:10:52 tlr: 5.3e-05 tnm: 0.52 Lm: 6.513 (6.513) Lt: 5.752 (5.752) Accm: 3.41 (3.41) Acct: 5.30 (5.30) proj_loss: -0.5854 (-0.5854) time: 0.4930 data: 0.0003
[11-25 17:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 417/1669] eta: 0:10:52 tlr: 5.3e-05 tnm: 0.52 Lm: 6.591 (6.591) Lt: 5.827 (5.827) Accm: 2.89 (2.89) Acct: 4.64 (4.64) proj_loss: -0.5985 (-0.5985) time: 0.4930 data: 0.0003
[11-25 17:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 417/1669] eta: 0:10:52 tlr: 5.3e-05 tnm: 0.52 Lm: 6.586 (6.586) Lt: 5.847 (5.847) Accm: 3.19 (3.19) Acct: 5.00 (5.00) proj_loss: -0.6073 (-0.6073) time: 0.4930 data: 0.0003
[11-25 17:31:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 834/1669] eta: 0:07:08 tlr: 5.2e-05 tnm: 0.52 Lm: 6.520 (6.541) Lt: 5.787 (5.793) Accm: 3.47 (3.34) Acct: 5.34 (5.42) proj_loss: -0.6028 (-0.6058) time: 0.4880 data: 0.0003
[11-25 17:31:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 834/1669] eta: 0:07:08 tlr: 5.2e-05 tnm: 0.52 Lm: 6.533 (6.545) Lt: 5.836 (5.828) Accm: 3.46 (3.30) Acct: 5.04 (4.97) proj_loss: -0.5972 (-0.6024) time: 0.4880 data: 0.0003
[11-25 17:31:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 834/1669] eta: 0:07:08 tlr: 5.2e-05 tnm: 0.52 Lm: 6.594 (6.607) Lt: 5.830 (5.866) Accm: 2.94 (2.96) Acct: 4.77 (4.76) proj_loss: -0.5995 (-0.6017) time: 0.4880 data: 0.0003
[11-25 17:31:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [ 834/1669] eta: 0:07:08 tlr: 5.2e-05 tnm: 0.52 Lm: 6.569 (6.532) Lt: 5.796 (5.767) Accm: 3.30 (3.37) Acct: 5.39 (5.33) proj_loss: -0.5939 (-0.5883) time: 0.4880 data: 0.0003
[11-25 17:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1251/1669] eta: 0:03:31 tlr: 5.2e-05 tnm: 0.52 Lm: 6.617 (6.565) Lt: 5.827 (5.790) Accm: 3.17 (3.29) Acct: 5.25 (5.28) proj_loss: -0.5962 (-0.5908) time: 0.4914 data: 0.0003
[11-25 17:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1251/1669] eta: 0:03:31 tlr: 5.2e-05 tnm: 0.52 Lm: 6.544 (6.548) Lt: 5.803 (5.800) Accm: 3.25 (3.26) Acct: 5.04 (5.25) proj_loss: -0.6003 (-0.6013) time: 0.4914 data: 0.0004
[11-25 17:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1251/1669] eta: 0:03:31 tlr: 5.2e-05 tnm: 0.52 Lm: 6.591 (6.572) Lt: 5.827 (5.825) Accm: 3.02 (3.09) Acct: 4.89 (4.98) proj_loss: -0.6031 (-0.6030) time: 0.4914 data: 0.0003
[11-25 17:34:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1251/1669] eta: 0:03:31 tlr: 5.2e-05 tnm: 0.52 Lm: 6.554 (6.552) Lt: 5.823 (5.823) Accm: 3.31 (3.26) Acct: 4.85 (4.89) proj_loss: -0.5954 (-0.6002) time: 0.4914 data: 0.0003
[11-25 17:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1668/1669] eta: 0:00:00 tlr: 5.2e-05 tnm: 0.53 Lm: 6.533 (6.518) Lt: 5.809 (5.790) Accm: 3.46 (3.41) Acct: 5.04 (5.11) proj_loss: -0.5972 (-0.6024) time: 0.5407 data: 0.0020
[11-25 17:38:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 281/350] Total time: 0:13:59 (0.503 s / it)
[11-25 17:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1668/1669] eta: 0:00:00 tlr: 5.2e-05 tnm: 0.53 Lm: 6.594 (6.597) Lt: 5.830 (5.849) Accm: 2.94 (2.99) Acct: 4.77 (4.87) proj_loss: -0.5995 (-0.5997) time: 0.5408 data: 0.0020
[11-25 17:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1668/1669] eta: 0:00:00 tlr: 5.2e-05 tnm: 0.53 Lm: 6.520 (6.532) Lt: 5.787 (5.784) Accm: 3.45 (3.30) Acct: 5.30 (5.26) proj_loss: -0.5977 (-0.5981) time: 0.5408 data: 0.0017
[11-25 17:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 281/350] [1668/1669] eta: 0:00:00 tlr: 5.2e-05 tnm: 0.53 Lm: 6.569 (6.561) Lt: 5.835 (5.799) Accm: 3.04 (3.24) Acct: 5.11 (5.23) proj_loss: -0.5939 (-0.5894) time: 0.5408 data: 0.0027
[11-25 17:38:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 281/350] Total time: 0:13:59 (0.503 s / it)
[11-25 17:38:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 281/350] Total time: 0:13:59 (0.503 s / it)
[11-25 17:38:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 281/350] Total time: 0:13:59 (0.503 s / it)
[11-25 17:38:18] (/home/user/VAR/train.py , line 276)=> [ep281] (training ) Lm: 6.556 (6.574), Lt: 5.811 (5.832), Acc m&t: 3.27 5.14, Remain: 15:35:28, Finish: 2024-11-25 17:13
[11-25 17:38:18] (/home/user/VAR/train.py , line 276)=> [ep281] (training ) Lm: 6.556 (6.574), Lt: 5.811 (5.832), Acc m&t: 3.27 5.14, Remain: 15:35:27, Finish: 2024-11-25 17:13
[11-25 17:38:18] (/home/user/VAR/train.py , line 276)=> [ep281] (training ) Lm: 6.556 (6.574), Lt: 5.811 (5.832), Acc m&t: 3.27 5.14, Remain: 15:35:41, Finish: 2024-11-25 17:13
[11-25 17:38:18] (/home/user/VAR/train.py , line 276)=> [ep281] (training ) Lm: 6.556 (6.574), Lt: 5.811 (5.832), Acc m&t: 3.27 5.14, Remain: 15:35:34, Finish: 2024-11-25 17:13
[11-25 17:38:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 0/1669] eta: 0:13:08 tlr: 5.2e-05 tnm: 0.52 Lm: 6.387 (6.387) Lt: 5.639 (5.639) Accm: 3.50 (3.50) Acct: 5.29 (5.29) proj_loss: -0.6208 (-0.6208) time: 0.4724 data: 0.0004
[11-25 17:38:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 0/1669] eta: 0:13:08 tlr: 5.2e-05 tnm: 0.52 Lm: 6.491 (6.491) Lt: 5.807 (5.807) Accm: 3.54 (3.54) Acct: 5.34 (5.34) proj_loss: -0.6134 (-0.6134) time: 0.4724 data: 0.0004
[11-25 17:38:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 0/1669] eta: 0:13:08 tlr: 5.2e-05 tnm: 0.52 Lm: 6.545 (6.545) Lt: 5.862 (5.862) Accm: 3.32 (3.32) Acct: 4.79 (4.79) proj_loss: -0.5914 (-0.5914) time: 0.4723 data: 0.0004
[11-25 17:38:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 0/1669] eta: 0:13:08 tlr: 5.2e-05 tnm: 0.52 Lm: 6.574 (6.574) Lt: 5.798 (5.798) Accm: 3.15 (3.15) Acct: 4.53 (4.53) proj_loss: -0.5963 (-0.5963) time: 0.4726 data: 0.0004
[11-25 17:41:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 417/1669] eta: 0:10:27 tlr: 5.2e-05 tnm: 0.54 Lm: 6.561 (6.561) Lt: 5.834 (5.834) Accm: 3.40 (3.40) Acct: 5.15 (5.15) proj_loss: -0.6078 (-0.6078) time: 0.5429 data: 0.0003
[11-25 17:41:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 417/1669] eta: 0:10:27 tlr: 5.2e-05 tnm: 0.54 Lm: 6.504 (6.504) Lt: 5.778 (5.778) Accm: 3.39 (3.39) Acct: 5.10 (5.10) proj_loss: -0.6106 (-0.6106) time: 0.5429 data: 0.0003
[11-25 17:41:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 417/1669] eta: 0:10:27 tlr: 5.2e-05 tnm: 0.54 Lm: 6.543 (6.543) Lt: 5.824 (5.824) Accm: 3.28 (3.28) Acct: 4.99 (4.99) proj_loss: -0.6045 (-0.6045) time: 0.5429 data: 0.0003
[11-25 17:41:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 417/1669] eta: 0:10:27 tlr: 5.2e-05 tnm: 0.54 Lm: 6.501 (6.501) Lt: 5.783 (5.783) Accm: 3.46 (3.46) Acct: 5.38 (5.38) proj_loss: -0.6225 (-0.6225) time: 0.5429 data: 0.0003
[11-25 17:45:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 834/1669] eta: 0:07:11 tlr: 5.2e-05 tnm: 0.52 Lm: 6.511 (6.525) Lt: 5.804 (5.790) Accm: 3.39 (3.29) Acct: 5.34 (5.15) proj_loss: -0.6134 (-0.6046) time: 0.6027 data: 0.0003
[11-25 17:45:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 834/1669] eta: 0:07:11 tlr: 5.2e-05 tnm: 0.52 Lm: 6.518 (6.509) Lt: 5.819 (5.792) Accm: 3.28 (3.34) Acct: 5.04 (5.08) proj_loss: -0.6004 (-0.6027) time: 0.6027 data: 0.0003
[11-25 17:45:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 834/1669] eta: 0:07:11 tlr: 5.2e-05 tnm: 0.52 Lm: 6.547 (6.508) Lt: 5.798 (5.749) Accm: 3.66 (3.54) Acct: 5.77 (5.42) proj_loss: -0.5977 (-0.6045) time: 0.6027 data: 0.0003
[11-25 17:45:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [ 834/1669] eta: 0:07:11 tlr: 5.2e-05 tnm: 0.52 Lm: 6.545 (6.544) Lt: 5.795 (5.815) Accm: 3.32 (3.32) Acct: 5.20 (5.20) proj_loss: -0.5914 (-0.5992) time: 0.6027 data: 0.0003
[11-25 17:49:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1251/1669] eta: 0:03:34 tlr: 5.1e-05 tnm: 0.52 Lm: 6.543 (6.517) Lt: 5.791 (5.786) Accm: 3.37 (3.41) Acct: 5.32 (5.26) proj_loss: -0.5949 (-0.5990) time: 0.4905 data: 0.0003
[11-25 17:49:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1251/1669] eta: 0:03:34 tlr: 5.1e-05 tnm: 0.52 Lm: 6.542 (6.547) Lt: 5.805 (5.812) Accm: 3.17 (3.17) Acct: 5.02 (4.90) proj_loss: -0.6101 (-0.6052) time: 0.4905 data: 0.0003
[11-25 17:49:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1251/1669] eta: 0:03:34 tlr: 5.1e-05 tnm: 0.52 Lm: 6.561 (6.546) Lt: 5.834 (5.801) Accm: 3.40 (3.41) Acct: 5.20 (5.23) proj_loss: -0.5978 (-0.6028) time: 0.4905 data: 0.0003
[11-25 17:49:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1251/1669] eta: 0:03:34 tlr: 5.1e-05 tnm: 0.52 Lm: 6.547 (6.526) Lt: 5.809 (5.794) Accm: 3.28 (3.33) Acct: 5.16 (5.13) proj_loss: -0.5955 (-0.5997) time: 0.4905 data: 0.0003
[11-25 17:52:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.576 (6.556) Lt: 5.819 (5.829) Accm: 3.28 (3.24) Acct: 5.04 (4.99) proj_loss: -0.6004 (-0.6015) time: 0.4899 data: 0.0019
[11-25 17:52:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 282/350] Total time: 0:14:12 (0.511 s / it)
[11-25 17:52:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.560 (6.549) Lt: 5.804 (5.808) Accm: 3.31 (3.20) Acct: 5.34 (4.99) proj_loss: -0.6068 (-0.6021) time: 0.4899 data: 0.0016
[11-25 17:52:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.547 (6.531) Lt: 5.798 (5.793) Accm: 3.52 (3.43) Acct: 5.41 (5.26) proj_loss: -0.5979 (-0.6038) time: 0.4899 data: 0.0015
[11-25 17:52:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 282/350] Total time: 0:14:12 (0.511 s / it)
[11-25 17:52:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 282/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.541 (6.511) Lt: 5.787 (5.778) Accm: 3.42 (3.43) Acct: 5.20 (5.24) proj_loss: -0.5984 (-0.6001) time: 0.4899 data: 0.0014
[11-25 17:52:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 282/350] Total time: 0:14:12 (0.511 s / it)
[11-25 17:52:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 282/350] Total time: 0:14:12 (0.511 s / it)
[11-25 17:52:31] (/home/user/VAR/train.py , line 276)=> [ep282] (training ) Lm: 6.546 (6.546), Lt: 5.800 (5.800), Acc m&t: 3.28 5.14, Remain: 15:22:30, Finish: 2024-11-25 17:15
[11-25 17:52:31] (/home/user/VAR/train.py , line 276)=> [ep282] (training ) Lm: 6.546 (6.546), Lt: 5.800 (5.800), Acc m&t: 3.28 5.14, Remain: 15:22:20, Finish: 2024-11-25 17:14
[11-25 17:52:31] (/home/user/VAR/train.py , line 276)=> [ep282] (training ) Lm: 6.546 (6.546), Lt: 5.800 (5.800), Acc m&t: 3.28 5.14, Remain: 15:22:07, Finish: 2024-11-25 17:14
[11-25 17:52:31] (/home/user/VAR/train.py , line 276)=> [ep282] (training ) Lm: 6.546 (6.546), Lt: 5.800 (5.800), Acc m&t: 3.28 5.14, Remain: 15:22:20, Finish: 2024-11-25 17:14
[11-25 17:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 0/1669] eta: 0:13:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.642 (6.642) Lt: 5.938 (5.938) Accm: 3.10 (3.10) Acct: 4.89 (4.89) proj_loss: -0.6159 (-0.6159) time: 0.4674 data: 0.0003
[11-25 17:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 0/1669] eta: 0:13:03 tlr: 5.1e-05 tnm: 0.53 Lm: 6.559 (6.559) Lt: 5.899 (5.899) Accm: 2.84 (2.84) Acct: 4.24 (4.24) proj_loss: -0.6330 (-0.6330) time: 0.4693 data: 0.0004
[11-25 17:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 0/1669] eta: 0:13:02 tlr: 5.1e-05 tnm: 0.53 Lm: 6.507 (6.507) Lt: 5.777 (5.777) Accm: 3.29 (3.29) Acct: 5.32 (5.32) proj_loss: -0.6005 (-0.6005) time: 0.4690 data: 0.0004
[11-25 17:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 0/1669] eta: 0:13:02 tlr: 5.1e-05 tnm: 0.53 Lm: 6.621 (6.621) Lt: 5.856 (5.856) Accm: 3.22 (3.22) Acct: 5.27 (5.27) proj_loss: -0.6130 (-0.6130) time: 0.4690 data: 0.0004
[11-25 17:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 417/1669] eta: 0:10:12 tlr: 5.1e-05 tnm: 0.53 Lm: 6.654 (6.654) Lt: 5.915 (5.915) Accm: 3.00 (3.00) Acct: 4.74 (4.74) proj_loss: -0.5988 (-0.5988) time: 0.4872 data: 0.0003
[11-25 17:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 417/1669] eta: 0:10:12 tlr: 5.1e-05 tnm: 0.53 Lm: 6.563 (6.563) Lt: 5.875 (5.875) Accm: 2.98 (2.98) Acct: 4.53 (4.53) proj_loss: -0.6230 (-0.6230) time: 0.4872 data: 0.0003
[11-25 17:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 417/1669] eta: 0:10:12 tlr: 5.1e-05 tnm: 0.53 Lm: 6.596 (6.596) Lt: 5.888 (5.888) Accm: 3.21 (3.21) Acct: 5.02 (5.02) proj_loss: -0.6056 (-0.6056) time: 0.4872 data: 0.0003
[11-25 17:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 417/1669] eta: 0:10:12 tlr: 5.1e-05 tnm: 0.53 Lm: 6.541 (6.541) Lt: 5.783 (5.783) Accm: 3.35 (3.35) Acct: 5.52 (5.52) proj_loss: -0.5875 (-0.5875) time: 0.4872 data: 0.0003
[11-25 17:59:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 834/1669] eta: 0:06:53 tlr: 5.1e-05 tnm: 0.52 Lm: 6.548 (6.543) Lt: 5.777 (5.780) Accm: 3.29 (3.33) Acct: 5.32 (5.38) proj_loss: -0.5914 (-0.5888) time: 0.5350 data: 0.0003
[11-25 17:59:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 834/1669] eta: 0:06:53 tlr: 5.1e-05 tnm: 0.52 Lm: 6.551 (6.575) Lt: 5.839 (5.863) Accm: 3.32 (3.29) Acct: 5.15 (5.21) proj_loss: -0.5953 (-0.5994) time: 0.5350 data: 0.0003
[11-25 17:59:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 834/1669] eta: 0:06:53 tlr: 5.1e-05 tnm: 0.52 Lm: 6.564 (6.563) Lt: 5.851 (5.854) Accm: 3.11 (3.04) Acct: 4.82 (4.75) proj_loss: -0.6129 (-0.6118) time: 0.5350 data: 0.0003
[11-25 17:59:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [ 834/1669] eta: 0:06:53 tlr: 5.1e-05 tnm: 0.52 Lm: 6.621 (6.605) Lt: 5.856 (5.862) Accm: 3.22 (3.11) Acct: 5.06 (4.85) proj_loss: -0.5854 (-0.5943) time: 0.5350 data: 0.0003
[11-25 18:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1251/1669] eta: 0:03:30 tlr: 5.1e-05 tnm: 0.52 Lm: 6.630 (6.613) Lt: 5.871 (5.868) Accm: 3.17 (3.11) Acct: 5.07 (4.91) proj_loss: -0.5992 (-0.5994) time: 0.5967 data: 0.0003
[11-25 18:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1251/1669] eta: 0:03:30 tlr: 5.1e-05 tnm: 0.52 Lm: 6.565 (6.575) Lt: 5.858 (5.857) Accm: 3.09 (3.04) Acct: 4.83 (4.77) proj_loss: -0.6044 (-0.6078) time: 0.5967 data: 0.0003
[11-25 18:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1251/1669] eta: 0:03:30 tlr: 5.1e-05 tnm: 0.52 Lm: 6.562 (6.568) Lt: 5.783 (5.819) Accm: 3.28 (3.27) Acct: 5.21 (5.26) proj_loss: -0.5959 (-0.5962) time: 0.5967 data: 0.0003
[11-25 18:03:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1251/1669] eta: 0:03:30 tlr: 5.1e-05 tnm: 0.52 Lm: 6.574 (6.580) Lt: 5.858 (5.866) Accm: 3.21 (3.20) Acct: 5.02 (5.07) proj_loss: -0.5912 (-0.5953) time: 0.5967 data: 0.0003
[11-25 18:06:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.597 (6.597) Lt: 5.877 (5.890) Accm: 3.10 (3.16) Acct: 4.89 (4.98) proj_loss: -0.5953 (-0.5996) time: 0.5442 data: 0.0020
[11-25 18:06:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 283/350] Total time: 0:13:59 (0.503 s / it)
[11-25 18:06:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.564 (6.562) Lt: 5.851 (5.810) Accm: 3.11 (3.17) Acct: 4.84 (5.01) proj_loss: -0.5958 (-0.6037) time: 0.5442 data: 0.0017
[11-25 18:06:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.575 (6.570) Lt: 5.789 (5.833) Accm: 3.29 (3.31) Acct: 5.17 (5.24) proj_loss: -0.6005 (-0.6030) time: 0.5442 data: 0.0016
[11-25 18:06:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 283/350] [1668/1669] eta: 0:00:00 tlr: 5.1e-05 tnm: 0.53 Lm: 6.621 (6.585) Lt: 5.856 (5.840) Accm: 3.22 (3.18) Acct: 5.08 (5.01) proj_loss: -0.5964 (-0.5988) time: 0.5442 data: 0.0016
[11-25 18:06:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 283/350] Total time: 0:13:59 (0.503 s / it)
[11-25 18:06:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 283/350] Total time: 0:13:59 (0.503 s / it)
[11-25 18:06:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 283/350] Total time: 0:13:59 (0.503 s / it)
[11-25 18:06:31] (/home/user/VAR/train.py , line 276)=> [ep283] (training ) Lm: 6.546 (6.565), Lt: 5.800 (5.822), Acc m&t: 3.28 5.14, Remain: 15:11:34, Finish: 2024-11-25 17:18
[11-25 18:06:31] (/home/user/VAR/train.py , line 276)=> [ep283] (training ) Lm: 6.546 (6.565), Lt: 5.800 (5.822), Acc m&t: 3.28 5.14, Remain: 15:11:14, Finish: 2024-11-25 17:17
[11-25 18:06:31] (/home/user/VAR/train.py , line 276)=> [ep283] (training ) Lm: 6.546 (6.565), Lt: 5.800 (5.822), Acc m&t: 3.28 5.14, Remain: 15:11:01, Finish: 2024-11-25 17:17
[11-25 18:06:31] (/home/user/VAR/train.py , line 276)=> [ep283] (training ) Lm: 6.546 (6.565), Lt: 5.800 (5.822), Acc m&t: 3.28 5.14, Remain: 15:11:35, Finish: 2024-11-25 17:18
[11-25 18:06:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 0/1669] eta: 0:13:21 tlr: 5.1e-05 tnm: 0.52 Lm: 6.602 (6.602) Lt: 5.902 (5.902) Accm: 3.19 (3.19) Acct: 5.08 (5.08) proj_loss: -0.6101 (-0.6101) time: 0.4804 data: 0.0003
[11-25 18:06:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 0/1669] eta: 0:13:22 tlr: 5.1e-05 tnm: 0.52 Lm: 6.576 (6.576) Lt: 5.818 (5.818) Accm: 3.39 (3.39) Acct: 5.22 (5.22) proj_loss: -0.6074 (-0.6074) time: 0.4808 data: 0.0004
[11-25 18:06:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 0/1669] eta: 0:13:12 tlr: 5.1e-05 tnm: 0.52 Lm: 6.697 (6.697) Lt: 5.977 (5.977) Accm: 2.67 (2.67) Acct: 4.22 (4.22) proj_loss: -0.5843 (-0.5843) time: 0.4749 data: 0.0004
[11-25 18:06:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 0/1669] eta: 0:13:22 tlr: 5.1e-05 tnm: 0.52 Lm: 6.473 (6.473) Lt: 5.681 (5.681) Accm: 3.26 (3.26) Acct: 5.18 (5.18) proj_loss: -0.5824 (-0.5824) time: 0.4811 data: 0.0004
[11-25 18:10:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 417/1669] eta: 0:10:49 tlr: 5e-05 tnm: 0.54 Lm: 6.491 (6.491) Lt: 5.709 (5.709) Accm: 3.37 (3.37) Acct: 5.41 (5.41) proj_loss: -0.5934 (-0.5934) time: 0.4890 data: 0.0003
[11-25 18:10:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 417/1669] eta: 0:10:49 tlr: 5e-05 tnm: 0.54 Lm: 6.645 (6.645) Lt: 5.931 (5.931) Accm: 3.02 (3.02) Acct: 4.83 (4.83) proj_loss: -0.6071 (-0.6071) time: 0.4890 data: 0.0003
[11-25 18:10:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 417/1669] eta: 0:10:49 tlr: 5e-05 tnm: 0.54 Lm: 6.543 (6.543) Lt: 5.807 (5.807) Accm: 3.30 (3.30) Acct: 5.09 (5.09) proj_loss: -0.6136 (-0.6136) time: 0.4890 data: 0.0003
[11-25 18:10:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 417/1669] eta: 0:10:49 tlr: 5e-05 tnm: 0.54 Lm: 6.596 (6.596) Lt: 5.873 (5.873) Accm: 2.95 (2.95) Acct: 4.51 (4.51) proj_loss: -0.6052 (-0.6052) time: 0.4890 data: 0.0003
[11-25 18:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 834/1669] eta: 0:07:07 tlr: 5e-05 tnm: 0.51 Lm: 6.622 (6.605) Lt: 5.868 (5.871) Accm: 3.02 (2.97) Acct: 4.80 (4.62) proj_loss: -0.5964 (-0.6022) time: 0.4874 data: 0.0003
[11-25 18:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 834/1669] eta: 0:07:07 tlr: 5e-05 tnm: 0.51 Lm: 6.602 (6.598) Lt: 5.902 (5.872) Accm: 3.19 (3.19) Acct: 5.08 (5.07) proj_loss: -0.6041 (-0.5986) time: 0.4874 data: 0.0003
[11-25 18:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 834/1669] eta: 0:07:07 tlr: 5e-05 tnm: 0.51 Lm: 6.498 (6.493) Lt: 5.737 (5.724) Accm: 3.37 (3.37) Acct: 5.48 (5.44) proj_loss: -0.6044 (-0.5981) time: 0.4874 data: 0.0003
[11-25 18:13:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [ 834/1669] eta: 0:07:07 tlr: 5e-05 tnm: 0.51 Lm: 6.509 (6.523) Lt: 5.796 (5.773) Accm: 3.39 (3.42) Acct: 5.22 (5.28) proj_loss: -0.6074 (-0.6108) time: 0.4874 data: 0.0003
[11-25 18:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1251/1669] eta: 0:03:31 tlr: 5e-05 tnm: 0.53 Lm: 6.543 (6.567) Lt: 5.807 (5.826) Accm: 3.30 (3.22) Acct: 5.09 (4.94) proj_loss: -0.6063 (-0.6050) time: 0.4910 data: 0.0003
[11-25 18:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1251/1669] eta: 0:03:31 tlr: 5e-05 tnm: 0.53 Lm: 6.558 (6.534) Lt: 5.818 (5.790) Accm: 3.12 (3.19) Acct: 4.82 (4.95) proj_loss: -0.5938 (-0.5995) time: 0.4910 data: 0.0002
[11-25 18:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1251/1669] eta: 0:03:31 tlr: 5e-05 tnm: 0.53 Lm: 6.503 (6.537) Lt: 5.746 (5.786) Accm: 3.31 (3.27) Acct: 5.33 (5.22) proj_loss: -0.6027 (-0.5989) time: 0.4910 data: 0.0003
[11-25 18:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1251/1669] eta: 0:03:31 tlr: 5e-05 tnm: 0.53 Lm: 6.603 (6.599) Lt: 5.895 (5.876) Accm: 3.15 (3.17) Acct: 4.99 (5.03) proj_loss: -0.5946 (-0.5952) time: 0.4910 data: 0.0003
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1668/1669] eta: 0:00:00 tlr: 5e-05 tnm: 0.52 Lm: 6.602 (6.584) Lt: 5.888 (5.860) Accm: 3.19 (3.21) Acct: 5.08 (5.08) proj_loss: -0.6041 (-0.5986) time: 0.4870 data: 0.0016
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 284/350] Total time: 0:13:59 (0.503 s / it)
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1668/1669] eta: 0:00:00 tlr: 5e-05 tnm: 0.52 Lm: 6.554 (6.538) Lt: 5.826 (5.797) Accm: 3.23 (3.20) Acct: 4.84 (4.94) proj_loss: -0.5964 (-0.6020) time: 0.4870 data: 0.0017
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1668/1669] eta: 0:00:00 tlr: 5e-05 tnm: 0.52 Lm: 6.498 (6.522) Lt: 5.753 (5.779) Accm: 3.37 (3.35) Acct: 5.48 (5.31) proj_loss: -0.6011 (-0.5988) time: 0.4870 data: 0.0017
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 284/350] [1668/1669] eta: 0:00:00 tlr: 5e-05 tnm: 0.52 Lm: 6.509 (6.544) Lt: 5.796 (5.804) Accm: 3.38 (3.25) Acct: 4.98 (4.95) proj_loss: -0.6053 (-0.6018) time: 0.4870 data: 0.0017
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 284/350] Total time: 0:13:59 (0.503 s / it)
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 284/350] Total time: 0:13:59 (0.503 s / it)
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 284/350] Total time: 0:13:59 (0.503 s / it)
[11-25 18:20:31] (/home/user/VAR/train.py , line 276)=> [ep284] (training ) Lm: 6.546 (6.563), Lt: 5.800 (5.829), Acc m&t: 3.28 5.14, Remain: 14:52:06, Finish: 2024-11-25 17:12
[11-25 18:20:31] (/home/user/VAR/train.py , line 276)=> [ep284] (training ) Lm: 6.546 (6.563), Lt: 5.800 (5.829), Acc m&t: 3.28 5.14, Remain: 14:51:58, Finish: 2024-11-25 17:12
[11-25 18:20:31] (/home/user/VAR/train.py , line 276)=> [ep284] (training ) Lm: 6.546 (6.563), Lt: 5.800 (5.829), Acc m&t: 3.28 5.14, Remain: 14:51:57, Finish: 2024-11-25 17:12
[11-25 18:20:31] (/home/user/VAR/train.py , line 276)=> [ep284] (training ) Lm: 6.546 (6.563), Lt: 5.800 (5.829), Acc m&t: 3.28 5.14, Remain: 14:52:02, Finish: 2024-11-25 17:12
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 0/1669] eta: 0:13:01 tlr: 5e-05 tnm: 0.53 Lm: 6.598 (6.598) Lt: 5.928 (5.928) Accm: 3.30 (3.30) Acct: 5.11 (5.11) proj_loss: -0.6284 (-0.6284) time: 0.4680 data: 0.0003
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 0/1669] eta: 0:13:01 tlr: 5e-05 tnm: 0.53 Lm: 6.716 (6.716) Lt: 6.032 (6.032) Accm: 2.69 (2.69) Acct: 4.24 (4.24) proj_loss: -0.5931 (-0.5931) time: 0.4683 data: 0.0003
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 0/1669] eta: 0:13:01 tlr: 5e-05 tnm: 0.53 Lm: 6.504 (6.504) Lt: 5.803 (5.803) Accm: 3.49 (3.49) Acct: 5.32 (5.32) proj_loss: -0.6141 (-0.6141) time: 0.4680 data: 0.0004
[11-25 18:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 0/1669] eta: 0:13:07 tlr: 5e-05 tnm: 0.53 Lm: 6.579 (6.579) Lt: 5.903 (5.903) Accm: 3.27 (3.27) Acct: 5.20 (5.20) proj_loss: -0.6097 (-0.6097) time: 0.4721 data: 0.0004
[11-25 18:24:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 417/1669] eta: 0:10:46 tlr: 5e-05 tnm: 0.53 Lm: 6.498 (6.498) Lt: 5.792 (5.792) Accm: 3.35 (3.35) Acct: 5.31 (5.31) proj_loss: -0.6113 (-0.6113) time: 0.5988 data: 0.0003
[11-25 18:24:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 417/1669] eta: 0:10:46 tlr: 5e-05 tnm: 0.53 Lm: 6.592 (6.592) Lt: 5.929 (5.929) Accm: 3.14 (3.14) Acct: 4.71 (4.71) proj_loss: -0.6081 (-0.6081) time: 0.5988 data: 0.0003
[11-25 18:24:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 417/1669] eta: 0:10:46 tlr: 5e-05 tnm: 0.53 Lm: 6.520 (6.520) Lt: 5.760 (5.760) Accm: 3.31 (3.31) Acct: 5.19 (5.19) proj_loss: -0.6001 (-0.6001) time: 0.5988 data: 0.0003
[11-25 18:24:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 417/1669] eta: 0:10:46 tlr: 5e-05 tnm: 0.53 Lm: 6.609 (6.609) Lt: 5.906 (5.906) Accm: 3.22 (3.22) Acct: 5.08 (5.08) proj_loss: -0.6196 (-0.6196) time: 0.5988 data: 0.0003
[11-25 18:27:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 834/1669] eta: 0:07:15 tlr: 4.9e-05 tnm: 0.53 Lm: 6.608 (6.609) Lt: 5.883 (5.872) Accm: 3.15 (3.18) Acct: 5.04 (4.94) proj_loss: -0.6109 (-0.6146) time: 0.4914 data: 0.0003
[11-25 18:27:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 834/1669] eta: 0:07:15 tlr: 4.9e-05 tnm: 0.53 Lm: 6.629 (6.556) Lt: 5.901 (5.807) Accm: 2.91 (3.17) Acct: 4.41 (4.93) proj_loss: -0.5931 (-0.5974) time: 0.4914 data: 0.0003
[11-25 18:27:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 834/1669] eta: 0:07:15 tlr: 4.9e-05 tnm: 0.53 Lm: 6.510 (6.565) Lt: 5.803 (5.879) Accm: 2.96 (3.08) Acct: 4.70 (4.71) proj_loss: -0.6141 (-0.6123) time: 0.4914 data: 0.0003
[11-25 18:27:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [ 834/1669] eta: 0:07:15 tlr: 4.9e-05 tnm: 0.53 Lm: 6.579 (6.543) Lt: 5.903 (5.841) Accm: 3.27 (3.24) Acct: 5.20 (5.12) proj_loss: -0.6130 (-0.6141) time: 0.4914 data: 0.0003
[11-25 18:31:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1251/1669] eta: 0:03:37 tlr: 4.9e-05 tnm: 0.54 Lm: 6.572 (6.549) Lt: 5.867 (5.839) Accm: 3.28 (3.25) Acct: 5.10 (5.09) proj_loss: -0.6124 (-0.6135) time: 0.5458 data: 0.0003
[11-25 18:31:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1251/1669] eta: 0:03:37 tlr: 4.9e-05 tnm: 0.54 Lm: 6.508 (6.514) Lt: 5.753 (5.757) Accm: 3.24 (3.27) Acct: 4.99 (5.09) proj_loss: -0.5925 (-0.5957) time: 0.5457 data: 0.0003
[11-25 18:31:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1251/1669] eta: 0:03:37 tlr: 4.9e-05 tnm: 0.54 Lm: 6.509 (6.551) Lt: 5.791 (5.853) Accm: 3.20 (3.17) Acct: 4.98 (4.85) proj_loss: -0.6081 (-0.6035) time: 0.5457 data: 0.0003
[11-25 18:31:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1251/1669] eta: 0:03:37 tlr: 4.9e-05 tnm: 0.54 Lm: 6.603 (6.565) Lt: 5.844 (5.850) Accm: 3.22 (3.34) Acct: 5.08 (5.07) proj_loss: -0.6091 (-0.6127) time: 0.5457 data: 0.0003
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1668/1669] eta: 0:00:00 tlr: 4.9e-05 tnm: 0.54 Lm: 6.598 (6.539) Lt: 5.804 (5.810) Accm: 3.30 (3.41) Acct: 5.11 (5.22) proj_loss: -0.6072 (-0.6097) time: 0.4907 data: 0.0013
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 285/350] Total time: 0:14:16 (0.513 s / it)
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1668/1669] eta: 0:00:00 tlr: 4.9e-05 tnm: 0.54 Lm: 6.565 (6.544) Lt: 5.831 (5.819) Accm: 3.29 (3.28) Acct: 5.20 (5.17) proj_loss: -0.6119 (-0.6088) time: 0.4907 data: 0.0019
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1668/1669] eta: 0:00:00 tlr: 4.9e-05 tnm: 0.54 Lm: 6.563 (6.524) Lt: 5.824 (5.770) Accm: 3.04 (3.23) Acct: 4.91 (5.06) proj_loss: -0.5919 (-0.5949) time: 0.4907 data: 0.0016
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 285/350] [1668/1669] eta: 0:00:00 tlr: 4.9e-05 tnm: 0.54 Lm: 6.510 (6.587) Lt: 5.803 (5.872) Accm: 2.96 (3.07) Acct: 4.70 (4.75) proj_loss: -0.6022 (-0.6028) time: 0.4907 data: 0.0018
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 285/350] Total time: 0:14:16 (0.513 s / it)
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 285/350] Total time: 0:14:16 (0.513 s / it)
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 285/350] Total time: 0:14:16 (0.513 s / it)
[11-25 18:34:47] (/home/user/VAR/train.py , line 276)=> [ep285] (training ) Lm: 6.546 (6.555), Lt: 5.800 (5.814), Acc m&t: 3.28 5.14, Remain: 14:42:01, Finish: 2024-11-25 17:16
[11-25 18:34:47] (/home/user/VAR/train.py , line 276)=> [ep285] (training ) Lm: 6.546 (6.555), Lt: 5.800 (5.814), Acc m&t: 3.28 5.14, Remain: 14:42:01, Finish: 2024-11-25 17:16
[11-25 18:34:47] (/home/user/VAR/train.py , line 276)=> [ep285] (training ) Lm: 6.546 (6.555), Lt: 5.800 (5.814), Acc m&t: 3.28 5.14, Remain: 14:42:25, Finish: 2024-11-25 17:17
[11-25 18:34:47] (/home/user/VAR/train.py , line 276)=> [ep285] (training ) Lm: 6.546 (6.555), Lt: 5.800 (5.814), Acc m&t: 3.28 5.14, Remain: 14:41:52, Finish: 2024-11-25 17:16
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 0/1669] eta: 0:13:05 tlr: 4.9e-05 tnm: 0.56 Lm: 6.568 (6.568) Lt: 5.797 (5.797) Accm: 3.35 (3.35) Acct: 5.29 (5.29) proj_loss: -0.5991 (-0.5991) time: 0.4709 data: 0.0003
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 0/1669] eta: 0:13:06 tlr: 4.9e-05 tnm: 0.56 Lm: 6.601 (6.601) Lt: 5.793 (5.793) Accm: 3.18 (3.18) Acct: 5.23 (5.23) proj_loss: -0.5752 (-0.5752) time: 0.4715 data: 0.0004
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 0/1669] eta: 0:13:05 tlr: 4.9e-05 tnm: 0.56 Lm: 6.497 (6.497) Lt: 5.677 (5.677) Accm: 3.68 (3.68) Acct: 6.08 (6.08) proj_loss: -0.6048 (-0.6048) time: 0.4708 data: 0.0003
[11-25 18:34:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 0/1669] eta: 0:13:04 tlr: 4.9e-05 tnm: 0.56 Lm: 6.492 (6.492) Lt: 5.733 (5.733) Accm: 3.23 (3.23) Acct: 5.04 (5.04) proj_loss: -0.6011 (-0.6011) time: 0.4702 data: 0.0003
[11-25 18:38:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 417/1669] eta: 0:10:15 tlr: 4.9e-05 tnm: 0.54 Lm: 6.530 (6.530) Lt: 5.768 (5.768) Accm: 3.38 (3.38) Acct: 5.28 (5.28) proj_loss: -0.5998 (-0.5998) time: 0.4912 data: 0.0003
[11-25 18:38:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 417/1669] eta: 0:10:15 tlr: 4.9e-05 tnm: 0.54 Lm: 6.547 (6.547) Lt: 5.745 (5.745) Accm: 3.47 (3.47) Acct: 5.71 (5.71) proj_loss: -0.5977 (-0.5977) time: 0.4912 data: 0.0003
[11-25 18:38:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 417/1669] eta: 0:10:15 tlr: 4.9e-05 tnm: 0.54 Lm: 6.587 (6.587) Lt: 5.800 (5.800) Accm: 3.14 (3.14) Acct: 5.10 (5.10) proj_loss: -0.5955 (-0.5955) time: 0.4912 data: 0.0003
[11-25 18:38:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 417/1669] eta: 0:10:15 tlr: 4.9e-05 tnm: 0.54 Lm: 6.480 (6.480) Lt: 5.697 (5.697) Accm: 3.51 (3.51) Acct: 5.48 (5.48) proj_loss: -0.6082 (-0.6082) time: 0.4912 data: 0.0003
[11-25 18:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 834/1669] eta: 0:06:59 tlr: 4.9e-05 tnm: 0.52 Lm: 6.568 (6.540) Lt: 5.797 (5.768) Accm: 3.35 (3.32) Acct: 5.29 (5.22) proj_loss: -0.6023 (-0.6062) time: 0.4907 data: 0.0003
[11-25 18:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 834/1669] eta: 0:06:59 tlr: 4.9e-05 tnm: 0.52 Lm: 6.598 (6.577) Lt: 5.814 (5.795) Accm: 3.26 (3.27) Acct: 5.34 (5.29) proj_loss: -0.5967 (-0.5973) time: 0.4907 data: 0.0002
[11-25 18:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 834/1669] eta: 0:06:59 tlr: 4.9e-05 tnm: 0.52 Lm: 6.555 (6.538) Lt: 5.785 (5.774) Accm: 3.23 (3.28) Acct: 5.04 (5.17) proj_loss: -0.5984 (-0.5946) time: 0.4907 data: 0.0002
[11-25 18:41:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [ 834/1669] eta: 0:06:59 tlr: 4.9e-05 tnm: 0.52 Lm: 6.573 (6.568) Lt: 5.793 (5.789) Accm: 3.17 (3.15) Acct: 4.99 (5.06) proj_loss: -0.6066 (-0.5992) time: 0.4907 data: 0.0003
[11-25 18:45:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1251/1669] eta: 0:03:32 tlr: 4.9e-05 tnm: 0.53 Lm: 6.587 (6.586) Lt: 5.800 (5.815) Accm: 3.13 (3.10) Acct: 4.99 (5.04) proj_loss: -0.5994 (-0.5975) time: 0.4929 data: 0.0003
[11-25 18:45:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1251/1669] eta: 0:03:32 tlr: 4.9e-05 tnm: 0.53 Lm: 6.546 (6.536) Lt: 5.787 (5.771) Accm: 3.26 (3.28) Acct: 5.04 (5.12) proj_loss: -0.6025 (-0.6053) time: 0.4929 data: 0.0003
[11-25 18:45:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1251/1669] eta: 0:03:32 tlr: 4.9e-05 tnm: 0.53 Lm: 6.562 (6.552) Lt: 5.794 (5.794) Accm: 3.18 (3.25) Acct: 5.07 (5.15) proj_loss: -0.5998 (-0.5993) time: 0.4929 data: 0.0003
[11-25 18:45:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1251/1669] eta: 0:03:32 tlr: 4.9e-05 tnm: 0.53 Lm: 6.618 (6.593) Lt: 5.842 (5.814) Accm: 3.22 (3.25) Acct: 5.12 (5.19) proj_loss: -0.5942 (-0.5959) time: 0.4929 data: 0.0003
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.53 Lm: 6.637 (6.603) Lt: 5.871 (5.831) Accm: 3.18 (3.20) Acct: 5.01 (5.15) proj_loss: -0.5917 (-0.5929) time: 0.5410 data: 0.0022
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 286/350] Total time: 0:14:05 (0.506 s / it)
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.53 Lm: 6.601 (6.591) Lt: 5.807 (5.824) Accm: 3.10 (3.06) Acct: 4.99 (4.99) proj_loss: -0.5998 (-0.5979) time: 0.5410 data: 0.0016
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.53 Lm: 6.568 (6.554) Lt: 5.797 (5.800) Accm: 3.35 (3.31) Acct: 5.29 (5.20) proj_loss: -0.6027 (-0.6068) time: 0.5410 data: 0.0015
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 286/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.53 Lm: 6.558 (6.553) Lt: 5.804 (5.803) Accm: 3.14 (3.20) Acct: 5.04 (5.07) proj_loss: -0.6011 (-0.6001) time: 0.5410 data: 0.0018
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 286/350] Total time: 0:14:05 (0.506 s / it)
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 286/350] Total time: 0:14:05 (0.506 s / it)
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 286/350] Total time: 0:14:05 (0.506 s / it)
[11-25 18:48:52] (/home/user/VAR/train.py , line 276)=> [ep286] (training ) Lm: 6.546 (6.554), Lt: 5.800 (5.812), Acc m&t: 3.28 5.14, Remain: 14:28:34, Finish: 2024-11-25 17:17
[11-25 18:48:52] (/home/user/VAR/train.py , line 276)=> [ep286] (training ) Lm: 6.546 (6.554), Lt: 5.800 (5.812), Acc m&t: 3.28 5.14, Remain: 14:29:16, Finish: 2024-11-25 17:18
[11-25 18:48:52] (/home/user/VAR/train.py , line 276)=> [ep286] (training ) Lm: 6.546 (6.554), Lt: 5.800 (5.812), Acc m&t: 3.28 5.14, Remain: 14:28:41, Finish: 2024-11-25 17:17
[11-25 18:48:52] (/home/user/VAR/train.py , line 276)=> [ep286] (training ) Lm: 6.546 (6.554), Lt: 5.800 (5.812), Acc m&t: 3.28 5.14, Remain: 14:28:41, Finish: 2024-11-25 17:17
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 0/1669] eta: 0:13:03 tlr: 4.8e-05 tnm: 0.54 Lm: 6.752 (6.752) Lt: 6.061 (6.061) Accm: 2.80 (2.80) Acct: 4.63 (4.63) proj_loss: -0.6091 (-0.6091) time: 0.4696 data: 0.0003
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 0/1669] eta: 0:12:59 tlr: 4.8e-05 tnm: 0.54 Lm: 6.614 (6.614) Lt: 5.897 (5.897) Accm: 3.13 (3.13) Acct: 4.72 (4.72) proj_loss: -0.6100 (-0.6100) time: 0.4673 data: 0.0004
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 0/1669] eta: 0:13:03 tlr: 4.8e-05 tnm: 0.54 Lm: 6.577 (6.577) Lt: 5.901 (5.901) Accm: 2.84 (2.84) Acct: 4.34 (4.34) proj_loss: -0.6338 (-0.6338) time: 0.4697 data: 0.0004
[11-25 18:48:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 0/1669] eta: 0:13:03 tlr: 4.8e-05 tnm: 0.54 Lm: 6.494 (6.494) Lt: 5.667 (5.667) Accm: 3.41 (3.41) Acct: 5.41 (5.41) proj_loss: -0.5733 (-0.5733) time: 0.4693 data: 0.0004
[11-25 18:52:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 417/1669] eta: 0:10:51 tlr: 4.8e-05 tnm: 0.53 Lm: 6.444 (6.444) Lt: 5.648 (5.648) Accm: 3.61 (3.61) Acct: 5.78 (5.78) proj_loss: -0.5767 (-0.5767) time: 0.4884 data: 0.0003
[11-25 18:52:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 417/1669] eta: 0:10:51 tlr: 4.8e-05 tnm: 0.53 Lm: 6.639 (6.639) Lt: 5.915 (5.915) Accm: 2.94 (2.94) Acct: 4.86 (4.86) proj_loss: -0.6110 (-0.6110) time: 0.4884 data: 0.0003
[11-25 18:52:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 417/1669] eta: 0:10:51 tlr: 4.8e-05 tnm: 0.53 Lm: 6.595 (6.595) Lt: 5.860 (5.860) Accm: 3.19 (3.19) Acct: 4.99 (4.99) proj_loss: -0.6055 (-0.6055) time: 0.4884 data: 0.0003
[11-25 18:52:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 417/1669] eta: 0:10:51 tlr: 4.8e-05 tnm: 0.53 Lm: 6.611 (6.611) Lt: 5.892 (5.892) Accm: 2.95 (2.95) Acct: 4.72 (4.72) proj_loss: -0.6262 (-0.6262) time: 0.4884 data: 0.0003
[11-25 18:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 834/1669] eta: 0:07:03 tlr: 4.8e-05 tnm: 0.53 Lm: 6.645 (6.628) Lt: 5.901 (5.908) Accm: 2.84 (2.83) Acct: 4.34 (4.51) proj_loss: -0.6185 (-0.6144) time: 0.4875 data: 0.0003
[11-25 18:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 834/1669] eta: 0:07:03 tlr: 4.8e-05 tnm: 0.53 Lm: 6.525 (6.601) Lt: 5.788 (5.873) Accm: 3.07 (3.01) Acct: 4.89 (4.87) proj_loss: -0.6091 (-0.6054) time: 0.4875 data: 0.0003
[11-25 18:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 834/1669] eta: 0:07:03 tlr: 4.8e-05 tnm: 0.53 Lm: 6.488 (6.459) Lt: 5.667 (5.665) Accm: 3.41 (3.51) Acct: 5.41 (5.61) proj_loss: -0.5801 (-0.5849) time: 0.4875 data: 0.0002
[11-25 18:55:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [ 834/1669] eta: 0:07:03 tlr: 4.8e-05 tnm: 0.53 Lm: 6.575 (6.582) Lt: 5.824 (5.833) Accm: 3.26 (3.25) Acct: 5.27 (5.10) proj_loss: -0.6010 (-0.5952) time: 0.4875 data: 0.0003
[11-25 18:59:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1251/1669] eta: 0:03:30 tlr: 4.8e-05 tnm: 0.53 Lm: 6.595 (6.596) Lt: 5.860 (5.855) Accm: 3.22 (3.23) Acct: 4.99 (5.01) proj_loss: -0.6039 (-0.5981) time: 0.4904 data: 0.0003
[11-25 18:59:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1251/1669] eta: 0:03:30 tlr: 4.8e-05 tnm: 0.53 Lm: 6.525 (6.576) Lt: 5.778 (5.844) Accm: 3.12 (3.08) Acct: 4.92 (4.89) proj_loss: -0.6094 (-0.6065) time: 0.4904 data: 0.0003
[11-25 18:59:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1251/1669] eta: 0:03:30 tlr: 4.8e-05 tnm: 0.53 Lm: 6.611 (6.593) Lt: 5.892 (5.856) Accm: 2.95 (3.08) Acct: 4.72 (4.92) proj_loss: -0.6183 (-0.6154) time: 0.4904 data: 0.0003
[11-25 18:59:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1251/1669] eta: 0:03:30 tlr: 4.8e-05 tnm: 0.53 Lm: 6.491 (6.527) Lt: 5.684 (5.752) Accm: 3.37 (3.34) Acct: 5.35 (5.36) proj_loss: -0.5907 (-0.5894) time: 0.4904 data: 0.0004
[11-25 19:02:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.53 Lm: 6.494 (6.537) Lt: 5.701 (5.765) Accm: 3.32 (3.32) Acct: 5.29 (5.28) proj_loss: -0.6013 (-0.5938) time: 0.4928 data: 0.0018
[11-25 19:02:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 287/350] Total time: 0:13:58 (0.502 s / it)
[11-25 19:02:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.53 Lm: 6.577 (6.574) Lt: 5.883 (5.836) Accm: 3.05 (3.14) Acct: 5.01 (4.94) proj_loss: -0.6182 (-0.6131) time: 0.4928 data: 0.0019
[11-25 19:02:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.53 Lm: 6.575 (6.557) Lt: 5.824 (5.813) Accm: 3.26 (3.36) Acct: 5.27 (5.22) proj_loss: -0.6068 (-0.6002) time: 0.4929 data: 0.0018
[11-25 19:02:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 287/350] [1668/1669] eta: 0:00:00 tlr: 4.8e-05 tnm: 0.53 Lm: 6.525 (6.553) Lt: 5.769 (5.806) Accm: 3.17 (3.17) Acct: 4.94 (5.06) proj_loss: -0.6091 (-0.6016) time: 0.4929 data: 0.0019
[11-25 19:02:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 287/350] Total time: 0:13:58 (0.502 s / it)
[11-25 19:02:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 287/350] Total time: 0:13:58 (0.502 s / it)
[11-25 19:02:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 287/350] Total time: 0:13:58 (0.502 s / it)
[11-25 19:02:50] (/home/user/VAR/train.py , line 276)=> [ep287] (training ) Lm: 6.542 (6.542), Lt: 5.797 (5.797), Acc m&t: 3.28 5.14, Remain: 14:17:23, Finish: 2024-11-25 17:20
[11-25 19:02:50] (/home/user/VAR/train.py , line 276)=> [ep287] (training ) Lm: 6.542 (6.542), Lt: 5.797 (5.797), Acc m&t: 3.28 5.14, Remain: 14:17:58, Finish: 2024-11-25 17:20
[11-25 19:02:50] (/home/user/VAR/train.py , line 276)=> [ep287] (training ) Lm: 6.542 (6.542), Lt: 5.797 (5.797), Acc m&t: 3.28 5.14, Remain: 14:17:59, Finish: 2024-11-25 17:20
[11-25 19:02:50] (/home/user/VAR/train.py , line 276)=> [ep287] (training ) Lm: 6.542 (6.542), Lt: 5.797 (5.797), Acc m&t: 3.28 5.14, Remain: 14:17:24, Finish: 2024-11-25 17:20
[11-25 19:02:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 0/1669] eta: 0:13:16 tlr: 4.8e-05 tnm: 0.53 Lm: 6.515 (6.515) Lt: 5.783 (5.783) Accm: 3.46 (3.46) Acct: 5.15 (5.15) proj_loss: -0.5815 (-0.5815) time: 0.4773 data: 0.0004
[11-25 19:02:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 0/1669] eta: 0:13:17 tlr: 4.8e-05 tnm: 0.53 Lm: 6.562 (6.562) Lt: 5.838 (5.838) Accm: 3.29 (3.29) Acct: 5.20 (5.20) proj_loss: -0.6064 (-0.6064) time: 0.4775 data: 0.0004
[11-25 19:02:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 0/1669] eta: 0:13:25 tlr: 4.8e-05 tnm: 0.53 Lm: 6.524 (6.524) Lt: 5.814 (5.814) Accm: 3.37 (3.37) Acct: 5.23 (5.23) proj_loss: -0.5865 (-0.5865) time: 0.4826 data: 0.0004
[11-25 19:02:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 0/1669] eta: 0:13:26 tlr: 4.8e-05 tnm: 0.53 Lm: 6.516 (6.516) Lt: 5.740 (5.740) Accm: 3.37 (3.37) Acct: 5.70 (5.70) proj_loss: -0.5983 (-0.5983) time: 0.4832 data: 0.0004
[11-25 19:06:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 417/1669] eta: 0:10:48 tlr: 4.7e-05 tnm: 0.52 Lm: 6.548 (6.548) Lt: 5.759 (5.759) Accm: 3.30 (3.30) Acct: 5.46 (5.46) proj_loss: -0.5990 (-0.5990) time: 0.4909 data: 0.0003
[11-25 19:06:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 417/1669] eta: 0:10:48 tlr: 4.7e-05 tnm: 0.52 Lm: 6.526 (6.526) Lt: 5.792 (5.792) Accm: 3.35 (3.35) Acct: 5.18 (5.18) proj_loss: -0.5797 (-0.5797) time: 0.4909 data: 0.0003
[11-25 19:06:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 417/1669] eta: 0:10:48 tlr: 4.7e-05 tnm: 0.52 Lm: 6.484 (6.484) Lt: 5.739 (5.739) Accm: 3.50 (3.50) Acct: 5.54 (5.54) proj_loss: -0.5910 (-0.5910) time: 0.4909 data: 0.0003
[11-25 19:06:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 417/1669] eta: 0:10:48 tlr: 4.7e-05 tnm: 0.52 Lm: 6.548 (6.548) Lt: 5.833 (5.833) Accm: 3.17 (3.17) Acct: 4.96 (4.96) proj_loss: -0.6003 (-0.6003) time: 0.4909 data: 0.0003
[11-25 19:10:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 834/1669] eta: 0:07:15 tlr: 4.7e-05 tnm: 0.52 Lm: 6.562 (6.563) Lt: 5.828 (5.822) Accm: 3.13 (3.16) Acct: 5.11 (5.01) proj_loss: -0.6031 (-0.6012) time: 0.4934 data: 0.0003
[11-25 19:10:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 834/1669] eta: 0:07:15 tlr: 4.7e-05 tnm: 0.52 Lm: 6.580 (6.609) Lt: 5.778 (5.836) Accm: 3.22 (3.15) Acct: 5.22 (5.11) proj_loss: -0.5996 (-0.5992) time: 0.4934 data: 0.0003
[11-25 19:10:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 834/1669] eta: 0:07:15 tlr: 4.7e-05 tnm: 0.52 Lm: 6.524 (6.531) Lt: 5.814 (5.770) Accm: 3.37 (3.38) Acct: 5.35 (5.48) proj_loss: -0.5955 (-0.5976) time: 0.4933 data: 0.0003
[11-25 19:10:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [ 834/1669] eta: 0:07:15 tlr: 4.7e-05 tnm: 0.52 Lm: 6.515 (6.490) Lt: 5.783 (5.760) Accm: 3.46 (3.47) Acct: 5.22 (5.30) proj_loss: -0.5815 (-0.5877) time: 0.4935 data: 0.0003
[11-25 19:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1251/1669] eta: 0:03:36 tlr: 4.7e-05 tnm: 0.54 Lm: 6.526 (6.506) Lt: 5.792 (5.783) Accm: 3.35 (3.36) Acct: 5.18 (5.13) proj_loss: -0.5924 (-0.5916) time: 0.4901 data: 0.0003
[11-25 19:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1251/1669] eta: 0:03:36 tlr: 4.7e-05 tnm: 0.54 Lm: 6.535 (6.534) Lt: 5.808 (5.778) Accm: 3.41 (3.40) Acct: 5.29 (5.40) proj_loss: -0.5979 (-0.5983) time: 0.4901 data: 0.0003
[11-25 19:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1251/1669] eta: 0:03:36 tlr: 4.7e-05 tnm: 0.54 Lm: 6.548 (6.566) Lt: 5.759 (5.792) Accm: 3.30 (3.25) Acct: 5.39 (5.22) proj_loss: -0.5996 (-0.5996) time: 0.4901 data: 0.0003
[11-25 19:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1251/1669] eta: 0:03:36 tlr: 4.7e-05 tnm: 0.54 Lm: 6.577 (6.584) Lt: 5.833 (5.842) Accm: 3.09 (3.11) Acct: 4.93 (4.95) proj_loss: -0.6019 (-0.6011) time: 0.4901 data: 0.0003
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1668/1669] eta: 0:00:00 tlr: 4.7e-05 tnm: 0.54 Lm: 6.580 (6.583) Lt: 5.828 (5.837) Accm: 3.13 (3.17) Acct: 5.11 (5.06) proj_loss: -0.6007 (-0.6000) time: 0.4909 data: 0.0019
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 288/350] Total time: 0:14:14 (0.512 s / it)
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1668/1669] eta: 0:00:00 tlr: 4.7e-05 tnm: 0.54 Lm: 6.580 (6.602) Lt: 5.778 (5.835) Accm: 3.22 (3.15) Acct: 5.22 (5.03) proj_loss: -0.5996 (-0.5967) time: 0.4909 data: 0.0017
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1668/1669] eta: 0:00:00 tlr: 4.7e-05 tnm: 0.54 Lm: 6.515 (6.508) Lt: 5.783 (5.778) Accm: 3.46 (3.39) Acct: 5.22 (5.24) proj_loss: -0.5947 (-0.5922) time: 0.4909 data: 0.0022
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 288/350] [1668/1669] eta: 0:00:00 tlr: 4.7e-05 tnm: 0.54 Lm: 6.524 (6.521) Lt: 5.803 (5.763) Accm: 3.45 (3.44) Acct: 5.35 (5.41) proj_loss: -0.5955 (-0.5961) time: 0.4909 data: 0.0016
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 288/350] Total time: 0:14:14 (0.512 s / it)
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 288/350] Total time: 0:14:14 (0.512 s / it)
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 288/350] Total time: 0:14:14 (0.512 s / it)
[11-25 19:17:05] (/home/user/VAR/train.py , line 276)=> [ep288] (training ) Lm: 6.542 (6.559), Lt: 5.797 (5.813), Acc m&t: 3.28 5.14, Remain: 14:02:52, Finish: 2024-11-25 17:19
[11-25 19:17:05] (/home/user/VAR/train.py , line 276)=> [ep288] (training ) Lm: 6.542 (6.559), Lt: 5.797 (5.813), Acc m&t: 3.28 5.14, Remain: 14:02:17, Finish: 2024-11-25 17:19
[11-25 19:17:05] (/home/user/VAR/train.py , line 276)=> [ep288] (training ) Lm: 6.542 (6.559), Lt: 5.797 (5.813), Acc m&t: 3.28 5.14, Remain: 14:02:14, Finish: 2024-11-25 17:19
[11-25 19:17:05] (/home/user/VAR/train.py , line 276)=> [ep288] (training ) Lm: 6.542 (6.559), Lt: 5.797 (5.813), Acc m&t: 3.28 5.14, Remain: 14:02:15, Finish: 2024-11-25 17:19
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 0/1669] eta: 0:13:00 tlr: 4.7e-05 tnm: 0.55 Lm: 6.646 (6.646) Lt: 5.926 (5.926) Accm: 2.93 (2.93) Acct: 4.63 (4.63) proj_loss: -0.6022 (-0.6022) time: 0.4678 data: 0.0004
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 0/1669] eta: 0:13:00 tlr: 4.7e-05 tnm: 0.55 Lm: 6.520 (6.520) Lt: 5.789 (5.789) Accm: 3.10 (3.10) Acct: 4.96 (4.96) proj_loss: -0.6020 (-0.6020) time: 0.4674 data: 0.0004
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 0/1669] eta: 0:13:03 tlr: 4.7e-05 tnm: 0.55 Lm: 6.512 (6.512) Lt: 5.795 (5.795) Accm: 2.96 (2.96) Acct: 4.44 (4.44) proj_loss: -0.6068 (-0.6068) time: 0.4697 data: 0.0003
[11-25 19:17:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 0/1669] eta: 0:13:00 tlr: 4.7e-05 tnm: 0.55 Lm: 6.627 (6.627) Lt: 5.863 (5.863) Accm: 3.18 (3.18) Acct: 4.82 (4.82) proj_loss: -0.6001 (-0.6001) time: 0.4674 data: 0.0004
[11-25 19:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 417/1669] eta: 0:10:12 tlr: 4.7e-05 tnm: 0.52 Lm: 6.473 (6.473) Lt: 5.721 (5.721) Accm: 3.55 (3.55) Acct: 5.48 (5.48) proj_loss: -0.6030 (-0.6030) time: 0.4904 data: 0.0003
[11-25 19:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 417/1669] eta: 0:10:12 tlr: 4.7e-05 tnm: 0.52 Lm: 6.521 (6.521) Lt: 5.813 (5.813) Accm: 3.21 (3.21) Acct: 4.92 (4.92) proj_loss: -0.6181 (-0.6181) time: 0.4904 data: 0.0003
[11-25 19:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 417/1669] eta: 0:10:12 tlr: 4.7e-05 tnm: 0.52 Lm: 6.537 (6.537) Lt: 5.826 (5.826) Accm: 3.30 (3.30) Acct: 5.22 (5.22) proj_loss: -0.6053 (-0.6053) time: 0.4904 data: 0.0003
[11-25 19:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 417/1669] eta: 0:10:12 tlr: 4.7e-05 tnm: 0.52 Lm: 6.526 (6.526) Lt: 5.810 (5.810) Accm: 3.16 (3.16) Acct: 4.98 (4.98) proj_loss: -0.5992 (-0.5992) time: 0.4904 data: 0.0003
[11-25 19:24:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 834/1669] eta: 0:07:01 tlr: 4.7e-05 tnm: 0.54 Lm: 6.532 (6.582) Lt: 5.832 (5.883) Accm: 3.10 (2.99) Acct: 4.96 (4.64) proj_loss: -0.6020 (-0.6052) time: 0.4890 data: 0.0003
[11-25 19:24:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 834/1669] eta: 0:07:01 tlr: 4.7e-05 tnm: 0.54 Lm: 6.582 (6.509) Lt: 5.862 (5.768) Accm: 3.22 (3.44) Acct: 4.89 (5.28) proj_loss: -0.6001 (-0.6014) time: 0.4890 data: 0.0003
[11-25 19:24:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 834/1669] eta: 0:07:01 tlr: 4.7e-05 tnm: 0.54 Lm: 6.485 (6.519) Lt: 5.748 (5.800) Accm: 3.35 (3.31) Acct: 5.15 (5.19) proj_loss: -0.6022 (-0.6040) time: 0.4890 data: 0.0003
[11-25 19:24:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [ 834/1669] eta: 0:07:01 tlr: 4.7e-05 tnm: 0.54 Lm: 6.512 (6.465) Lt: 5.795 (5.726) Accm: 3.45 (3.47) Acct: 5.41 (5.43) proj_loss: -0.6148 (-0.6170) time: 0.4890 data: 0.0003
[11-25 19:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1251/1669] eta: 0:03:31 tlr: 4.6e-05 tnm: 0.53 Lm: 6.521 (6.492) Lt: 5.797 (5.745) Accm: 3.42 (3.45) Acct: 5.29 (5.37) proj_loss: -0.6108 (-0.6125) time: 0.4916 data: 0.0003
[11-25 19:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1251/1669] eta: 0:03:31 tlr: 4.6e-05 tnm: 0.53 Lm: 6.526 (6.524) Lt: 5.810 (5.797) Accm: 3.16 (3.18) Acct: 4.98 (5.08) proj_loss: -0.5998 (-0.6033) time: 0.4916 data: 0.0003
[11-25 19:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1251/1669] eta: 0:03:31 tlr: 4.6e-05 tnm: 0.53 Lm: 6.492 (6.514) Lt: 5.737 (5.778) Accm: 3.42 (3.36) Acct: 5.35 (5.29) proj_loss: -0.6018 (-0.5988) time: 0.4916 data: 0.0003
[11-25 19:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1251/1669] eta: 0:03:31 tlr: 4.6e-05 tnm: 0.53 Lm: 6.605 (6.558) Lt: 5.863 (5.817) Accm: 3.20 (3.34) Acct: 4.86 (5.13) proj_loss: -0.6029 (-0.6024) time: 0.4916 data: 0.0003
[11-25 19:31:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-05 tnm: 0.53 Lm: 6.582 (6.556) Lt: 5.862 (5.811) Accm: 3.20 (3.31) Acct: 4.89 (5.15) proj_loss: -0.6001 (-0.5970) time: 0.5983 data: 0.0013
[11-25 19:31:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 289/350] Total time: 0:14:12 (0.511 s / it)
[11-25 19:31:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-05 tnm: 0.53 Lm: 6.532 (6.530) Lt: 5.790 (5.796) Accm: 3.10 (3.15) Acct: 4.99 (5.07) proj_loss: -0.5975 (-0.6021) time: 0.5983 data: 0.0017
[11-25 19:31:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-05 tnm: 0.53 Lm: 6.512 (6.490) Lt: 5.795 (5.729) Accm: 3.39 (3.43) Acct: 5.32 (5.36) proj_loss: -0.6068 (-0.6073) time: 0.5983 data: 0.0017
[11-25 19:31:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 289/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-05 tnm: 0.53 Lm: 6.499 (6.532) Lt: 5.748 (5.796) Accm: 3.35 (3.29) Acct: 5.15 (5.21) proj_loss: -0.6013 (-0.5952) time: 0.5983 data: 0.0017
[11-25 19:31:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 289/350] Total time: 0:14:12 (0.511 s / it)
[11-25 19:31:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 289/350] Total time: 0:14:12 (0.511 s / it)
[11-25 19:31:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 289/350] Total time: 0:14:12 (0.511 s / it)
[11-25 19:33:36] (home/user/VAR/trainer.py, line 114)=> FID: 3.3212805643885304
[11-25 19:33:37] (/home/user/VAR/train.py , line 259)=> [*] [ep289] (val 50000) Lm: 6.5500, Lt: 5.8078, Acc m&t: 3.26 5.12, Val cost: 138.59s
[11-25 19:33:37] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 19:34:05] (/home/user/VAR/train.py , line 276)=> [ep289] (training ) Lm: 6.542 (6.550), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:51:02, Finish: 2024-11-25 17:22
[11-25 19:34:05] (/home/user/VAR/train.py , line 276)=> [ep289] (training ) Lm: 6.542 (6.550), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:51:22, Finish: 2024-11-25 17:22
[11-25 19:34:05] (/home/user/VAR/train.py , line 276)=> [ep289] (training ) Lm: 6.542 (6.550), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:51:26, Finish: 2024-11-25 17:22
[11-25 19:34:05] (/home/user/VAR/train.py , line 276)=> [ep289] (training ) Lm: 6.542 (6.550), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:51:05, Finish: 2024-11-25 17:22
[11-25 19:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 0/1669] eta: 0:13:23 tlr: 4.6e-05 tnm: 0.53 Lm: 6.601 (6.601) Lt: 5.881 (5.881) Accm: 3.12 (3.12) Acct: 4.94 (4.94) proj_loss: -0.6188 (-0.6188) time: 0.4815 data: 0.0003
[11-25 19:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 0/1669] eta: 0:13:21 tlr: 4.6e-05 tnm: 0.53 Lm: 6.546 (6.546) Lt: 5.771 (5.771) Accm: 3.39 (3.39) Acct: 5.35 (5.35) proj_loss: -0.6133 (-0.6133) time: 0.4803 data: 0.0004
[11-25 19:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 0/1669] eta: 0:13:33 tlr: 4.6e-05 tnm: 0.53 Lm: 6.585 (6.585) Lt: 5.766 (5.766) Accm: 3.07 (3.07) Acct: 5.08 (5.08) proj_loss: -0.5872 (-0.5872) time: 0.4872 data: 0.0003
[11-25 19:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 0/1669] eta: 0:13:22 tlr: 4.6e-05 tnm: 0.53 Lm: 6.426 (6.426) Lt: 5.655 (5.655) Accm: 3.93 (3.93) Acct: 6.03 (6.03) proj_loss: -0.5926 (-0.5926) time: 0.4810 data: 0.0004
[11-25 19:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 417/1669] eta: 0:10:28 tlr: 4.6e-05 tnm: 0.55 Lm: 6.521 (6.521) Lt: 5.749 (5.749) Accm: 3.45 (3.45) Acct: 5.39 (5.39) proj_loss: -0.5871 (-0.5871) time: 0.4910 data: 0.0003
[11-25 19:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 417/1669] eta: 0:10:28 tlr: 4.6e-05 tnm: 0.55 Lm: 6.569 (6.569) Lt: 5.790 (5.790) Accm: 3.16 (3.16) Acct: 4.90 (4.90) proj_loss: -0.5953 (-0.5953) time: 0.4910 data: 0.0003
[11-25 19:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 417/1669] eta: 0:10:28 tlr: 4.6e-05 tnm: 0.55 Lm: 6.652 (6.652) Lt: 5.917 (5.917) Accm: 2.95 (2.95) Acct: 4.55 (4.55) proj_loss: -0.6104 (-0.6104) time: 0.4910 data: 0.0003
[11-25 19:37:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 417/1669] eta: 0:10:28 tlr: 4.6e-05 tnm: 0.55 Lm: 6.613 (6.613) Lt: 5.886 (5.886) Accm: 3.08 (3.08) Acct: 4.86 (4.86) proj_loss: -0.6181 (-0.6181) time: 0.4910 data: 0.0003
[11-25 19:41:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 834/1669] eta: 0:06:55 tlr: 4.6e-05 tnm: 0.53 Lm: 6.601 (6.578) Lt: 5.881 (5.848) Accm: 3.12 (3.22) Acct: 4.94 (5.08) proj_loss: -0.6188 (-0.6204) time: 0.4905 data: 0.0003
[11-25 19:41:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 834/1669] eta: 0:06:55 tlr: 4.6e-05 tnm: 0.53 Lm: 6.592 (6.632) Lt: 5.830 (5.888) Accm: 3.37 (3.09) Acct: 5.29 (4.79) proj_loss: -0.6076 (-0.5997) time: 0.4905 data: 0.0003
[11-25 19:41:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 834/1669] eta: 0:06:55 tlr: 4.6e-05 tnm: 0.53 Lm: 6.426 (6.475) Lt: 5.655 (5.687) Accm: 3.64 (3.51) Acct: 5.77 (5.52) proj_loss: -0.5926 (-0.5979) time: 0.4905 data: 0.0003
[11-25 19:41:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [ 834/1669] eta: 0:06:55 tlr: 4.6e-05 tnm: 0.53 Lm: 6.585 (6.574) Lt: 5.814 (5.820) Accm: 3.18 (3.17) Acct: 4.82 (4.87) proj_loss: -0.6032 (-0.5980) time: 0.4905 data: 0.0003
[11-25 19:44:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1251/1669] eta: 0:03:27 tlr: 4.6e-05 tnm: 0.53 Lm: 6.569 (6.546) Lt: 5.790 (5.791) Accm: 3.22 (3.31) Acct: 4.95 (5.09) proj_loss: -0.6034 (-0.5997) time: 0.4920 data: 0.0003
[11-25 19:44:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1251/1669] eta: 0:03:27 tlr: 4.6e-05 tnm: 0.53 Lm: 6.405 (6.443) Lt: 5.608 (5.652) Accm: 3.67 (3.56) Acct: 5.90 (5.70) proj_loss: -0.6061 (-0.6048) time: 0.4920 data: 0.0003
[11-25 19:44:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1251/1669] eta: 0:03:27 tlr: 4.6e-05 tnm: 0.53 Lm: 6.611 (6.589) Lt: 5.860 (5.846) Accm: 3.08 (3.14) Acct: 4.86 (5.00) proj_loss: -0.6181 (-0.6095) time: 0.4920 data: 0.0003
[11-25 19:44:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1251/1669] eta: 0:03:27 tlr: 4.6e-05 tnm: 0.53 Lm: 6.590 (6.621) Lt: 5.819 (5.868) Accm: 3.31 (3.13) Acct: 5.28 (4.91) proj_loss: -0.5957 (-0.5957) time: 0.4920 data: 0.0003
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.56 Lm: 6.592 (6.617) Lt: 5.809 (5.855) Accm: 3.26 (3.08) Acct: 5.27 (4.90) proj_loss: -0.5838 (-0.5916) time: 0.4927 data: 0.0020
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 290/350] Total time: 0:13:53 (0.499 s / it)
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.56 Lm: 6.426 (6.492) Lt: 5.655 (5.727) Accm: 3.64 (3.40) Acct: 5.77 (5.39) proj_loss: -0.6133 (-0.6065) time: 0.4927 data: 0.0016
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.56 Lm: 6.585 (6.577) Lt: 5.814 (5.819) Accm: 3.18 (3.24) Acct: 5.04 (5.08) proj_loss: -0.6032 (-0.5977) time: 0.4927 data: 0.0015
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 290/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.56 Lm: 6.621 (6.606) Lt: 5.881 (5.871) Accm: 3.05 (3.07) Acct: 4.77 (4.88) proj_loss: -0.6173 (-0.6092) time: 0.4927 data: 0.0018
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 290/350] Total time: 0:13:53 (0.499 s / it)
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 290/350] Total time: 0:13:53 (0.499 s / it)
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 290/350] Total time: 0:13:53 (0.499 s / it)
[11-25 19:47:59] (/home/user/VAR/train.py , line 276)=> [ep290] (training ) Lm: 6.542 (6.562), Lt: 5.797 (5.821), Acc m&t: 3.28 5.14, Remain: 13:35:16, Finish: 2024-11-25 17:23
[11-25 19:47:59] (/home/user/VAR/train.py , line 276)=> [ep290] (training ) Lm: 6.542 (6.562), Lt: 5.797 (5.821), Acc m&t: 3.28 5.14, Remain: 13:35:23, Finish: 2024-11-25 17:23
[11-25 19:47:59] (/home/user/VAR/train.py , line 276)=> [ep290] (training ) Lm: 6.542 (6.562), Lt: 5.797 (5.821), Acc m&t: 3.28 5.14, Remain: 13:35:27, Finish: 2024-11-25 17:23
[11-25 19:47:59] (/home/user/VAR/train.py , line 276)=> [ep290] (training ) Lm: 6.542 (6.562), Lt: 5.797 (5.821), Acc m&t: 3.28 5.14, Remain: 13:35:28, Finish: 2024-11-25 17:23
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 0/1669] eta: 0:13:14 tlr: 4.5e-05 tnm: 0.54 Lm: 6.565 (6.565) Lt: 5.836 (5.836) Accm: 3.12 (3.12) Acct: 4.87 (4.87) proj_loss: -0.5870 (-0.5870) time: 0.4762 data: 0.0004
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 0/1669] eta: 0:12:39 tlr: 4.5e-05 tnm: 0.54 Lm: 6.617 (6.617) Lt: 5.859 (5.859) Accm: 3.01 (3.01) Acct: 5.08 (5.08) proj_loss: -0.5956 (-0.5956) time: 0.4552 data: 0.0004
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 0/1669] eta: 0:12:43 tlr: 4.5e-05 tnm: 0.54 Lm: 6.699 (6.699) Lt: 6.006 (6.006) Accm: 3.20 (3.20) Acct: 4.65 (4.65) proj_loss: -0.6151 (-0.6151) time: 0.4576 data: 0.0004
[11-25 19:47:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 0/1669] eta: 0:12:46 tlr: 4.5e-05 tnm: 0.54 Lm: 6.494 (6.494) Lt: 5.764 (5.764) Accm: 3.15 (3.15) Acct: 4.79 (4.79) proj_loss: -0.5935 (-0.5935) time: 0.4590 data: 0.0004
[11-25 19:51:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 417/1669] eta: 0:11:13 tlr: 4.5e-05 tnm: 0.53 Lm: 6.584 (6.584) Lt: 5.853 (5.853) Accm: 3.10 (3.10) Acct: 4.67 (4.67) proj_loss: -0.5990 (-0.5990) time: 0.5957 data: 0.0003
[11-25 19:51:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 417/1669] eta: 0:11:13 tlr: 4.5e-05 tnm: 0.53 Lm: 6.610 (6.610) Lt: 5.853 (5.853) Accm: 3.02 (3.02) Acct: 4.92 (4.92) proj_loss: -0.5971 (-0.5971) time: 0.5957 data: 0.0003
[11-25 19:51:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 417/1669] eta: 0:11:13 tlr: 4.5e-05 tnm: 0.53 Lm: 6.532 (6.532) Lt: 5.815 (5.815) Accm: 3.47 (3.47) Acct: 5.21 (5.21) proj_loss: -0.6050 (-0.6050) time: 0.5957 data: 0.0003
[11-25 19:51:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 417/1669] eta: 0:11:13 tlr: 4.5e-05 tnm: 0.53 Lm: 6.594 (6.594) Lt: 5.888 (5.888) Accm: 2.96 (2.96) Acct: 4.67 (4.67) proj_loss: -0.5956 (-0.5956) time: 0.5957 data: 0.0003
[11-25 19:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 834/1669] eta: 0:07:13 tlr: 4.5e-05 tnm: 0.54 Lm: 6.623 (6.619) Lt: 5.929 (5.902) Accm: 2.88 (2.93) Acct: 4.55 (4.63) proj_loss: -0.5973 (-0.5962) time: 0.4900 data: 0.0002
[11-25 19:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 834/1669] eta: 0:07:13 tlr: 4.5e-05 tnm: 0.54 Lm: 6.660 (6.609) Lt: 5.910 (5.872) Accm: 3.13 (3.11) Acct: 4.79 (4.76) proj_loss: -0.5935 (-0.5946) time: 0.4900 data: 0.0003
[11-25 19:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 834/1669] eta: 0:07:13 tlr: 4.5e-05 tnm: 0.54 Lm: 6.418 (6.494) Lt: 5.642 (5.757) Accm: 3.51 (3.48) Acct: 5.77 (5.46) proj_loss: -0.5985 (-0.6028) time: 0.4900 data: 0.0003
[11-25 19:55:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [ 834/1669] eta: 0:07:13 tlr: 4.5e-05 tnm: 0.54 Lm: 6.603 (6.568) Lt: 5.846 (5.810) Accm: 3.04 (3.16) Acct: 5.08 (5.13) proj_loss: -0.5978 (-0.5973) time: 0.4900 data: 0.0003
[11-25 19:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1251/1669] eta: 0:03:35 tlr: 4.5e-05 tnm: 0.58 Lm: 6.544 (6.547) Lt: 5.820 (5.806) Accm: 3.15 (3.19) Acct: 5.04 (5.09) proj_loss: -0.5982 (-0.6042) time: 0.4894 data: 0.0003
[11-25 19:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1251/1669] eta: 0:03:35 tlr: 4.5e-05 tnm: 0.58 Lm: 6.559 (6.552) Lt: 5.824 (5.832) Accm: 3.35 (3.35) Acct: 5.21 (5.18) proj_loss: -0.6062 (-0.6056) time: 0.4894 data: 0.0003
[11-25 19:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1251/1669] eta: 0:03:35 tlr: 4.5e-05 tnm: 0.58 Lm: 6.624 (6.604) Lt: 5.892 (5.873) Accm: 3.14 (3.12) Acct: 4.86 (4.82) proj_loss: -0.5928 (-0.5939) time: 0.4894 data: 0.0003
[11-25 19:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1251/1669] eta: 0:03:35 tlr: 4.5e-05 tnm: 0.58 Lm: 6.594 (6.564) Lt: 5.883 (5.841) Accm: 3.00 (3.09) Acct: 4.71 (4.88) proj_loss: -0.5973 (-0.5965) time: 0.4894 data: 0.0003
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.55 Lm: 6.565 (6.555) Lt: 5.836 (5.827) Accm: 3.12 (3.11) Acct: 4.80 (4.87) proj_loss: -0.5973 (-0.5951) time: 0.4917 data: 0.0018
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 291/350] Total time: 0:14:08 (0.509 s / it)
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.55 Lm: 6.427 (6.527) Lt: 5.675 (5.801) Accm: 3.51 (3.42) Acct: 5.77 (5.30) proj_loss: -0.6139 (-0.6084) time: 0.4917 data: 0.0018
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.55 Lm: 6.660 (6.620) Lt: 5.910 (5.891) Accm: 3.13 (3.03) Acct: 4.79 (4.66) proj_loss: -0.5935 (-0.5951) time: 0.4917 data: 0.0015
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 291/350] [1668/1669] eta: 0:00:00 tlr: 4.5e-05 tnm: 0.55 Lm: 6.536 (6.545) Lt: 5.794 (5.799) Accm: 3.26 (3.24) Acct: 5.08 (5.18) proj_loss: -0.5978 (-0.6021) time: 0.4917 data: 0.0017
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 291/350] Total time: 0:14:08 (0.509 s / it)
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 291/350] Total time: 0:14:08 (0.509 s / it)
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 291/350] Total time: 0:14:08 (0.509 s / it)
[11-25 20:02:08] (/home/user/VAR/train.py , line 276)=> [ep291] (training ) Lm: 6.542 (6.550), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:21:26, Finish: 2024-11-25 17:23
[11-25 20:02:08] (/home/user/VAR/train.py , line 276)=> [ep291] (training ) Lm: 6.542 (6.550), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:20:58, Finish: 2024-11-25 17:23
[11-25 20:02:08] (/home/user/VAR/train.py , line 276)=> [ep291] (training ) Lm: 6.542 (6.550), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:21:02, Finish: 2024-11-25 17:23
[11-25 20:02:08] (/home/user/VAR/train.py , line 276)=> [ep291] (training ) Lm: 6.542 (6.550), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:20:40, Finish: 2024-11-25 17:22
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 0/1669] eta: 0:12:48 tlr: 4.5e-05 tnm: 0.56 Lm: 6.622 (6.622) Lt: 5.916 (5.916) Accm: 2.75 (2.75) Acct: 4.12 (4.12) proj_loss: -0.6383 (-0.6383) time: 0.4607 data: 0.0003
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 0/1669] eta: 0:12:49 tlr: 4.5e-05 tnm: 0.56 Lm: 6.500 (6.500) Lt: 5.755 (5.755) Accm: 3.37 (3.37) Acct: 5.30 (5.30) proj_loss: -0.6024 (-0.6024) time: 0.4609 data: 0.0004
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 0/1669] eta: 0:12:49 tlr: 4.5e-05 tnm: 0.56 Lm: 6.674 (6.674) Lt: 5.905 (5.905) Accm: 3.10 (3.10) Acct: 4.89 (4.89) proj_loss: -0.5782 (-0.5782) time: 0.4609 data: 0.0005
[11-25 20:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 0/1669] eta: 0:12:50 tlr: 4.5e-05 tnm: 0.56 Lm: 6.523 (6.523) Lt: 5.797 (5.797) Accm: 3.29 (3.29) Acct: 5.06 (5.06) proj_loss: -0.6085 (-0.6085) time: 0.4614 data: 0.0004
[11-25 20:05:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 417/1669] eta: 0:10:32 tlr: 4.5e-05 tnm: 0.54 Lm: 6.606 (6.606) Lt: 5.871 (5.871) Accm: 3.06 (3.06) Acct: 4.77 (4.77) proj_loss: -0.5967 (-0.5967) time: 0.4904 data: 0.0003
[11-25 20:05:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 417/1669] eta: 0:10:32 tlr: 4.5e-05 tnm: 0.54 Lm: 6.571 (6.571) Lt: 5.831 (5.831) Accm: 3.14 (3.14) Acct: 4.79 (4.79) proj_loss: -0.6156 (-0.6156) time: 0.4904 data: 0.0002
[11-25 20:05:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 417/1669] eta: 0:10:32 tlr: 4.5e-05 tnm: 0.54 Lm: 6.552 (6.552) Lt: 5.813 (5.813) Accm: 3.15 (3.15) Acct: 4.86 (4.86) proj_loss: -0.6044 (-0.6044) time: 0.4904 data: 0.0003
[11-25 20:05:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 417/1669] eta: 0:10:32 tlr: 4.5e-05 tnm: 0.54 Lm: 6.578 (6.578) Lt: 5.879 (5.879) Accm: 3.17 (3.17) Acct: 4.82 (4.82) proj_loss: -0.6027 (-0.6027) time: 0.4904 data: 0.0003
[11-25 20:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 834/1669] eta: 0:07:11 tlr: 4.4e-05 tnm: 0.55 Lm: 6.523 (6.504) Lt: 5.797 (5.781) Accm: 3.29 (3.39) Acct: 5.06 (5.26) proj_loss: -0.6085 (-0.6074) time: 0.5457 data: 0.0003
[11-25 20:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 834/1669] eta: 0:07:11 tlr: 4.4e-05 tnm: 0.55 Lm: 6.593 (6.578) Lt: 5.855 (5.839) Accm: 3.25 (3.18) Acct: 5.08 (4.88) proj_loss: -0.5958 (-0.6090) time: 0.5457 data: 0.0003
[11-25 20:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 834/1669] eta: 0:07:11 tlr: 4.4e-05 tnm: 0.55 Lm: 6.500 (6.531) Lt: 5.782 (5.803) Accm: 3.37 (3.32) Acct: 5.30 (5.27) proj_loss: -0.6064 (-0.6126) time: 0.5457 data: 0.0003
[11-25 20:09:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [ 834/1669] eta: 0:07:11 tlr: 4.4e-05 tnm: 0.55 Lm: 6.593 (6.602) Lt: 5.852 (5.865) Accm: 3.10 (3.10) Acct: 4.89 (4.87) proj_loss: -0.5851 (-0.5928) time: 0.5457 data: 0.0002
[11-25 20:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1251/1669] eta: 0:03:32 tlr: 4.4e-05 tnm: 0.55 Lm: 6.605 (6.606) Lt: 5.862 (5.867) Accm: 3.06 (3.06) Acct: 4.77 (4.78) proj_loss: -0.5954 (-0.5960) time: 0.4904 data: 0.0003
[11-25 20:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1251/1669] eta: 0:03:32 tlr: 4.4e-05 tnm: 0.55 Lm: 6.505 (6.525) Lt: 5.768 (5.787) Accm: 3.41 (3.35) Acct: 5.35 (5.30) proj_loss: -0.6044 (-0.6066) time: 0.4904 data: 0.0003
[11-25 20:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1251/1669] eta: 0:03:32 tlr: 4.4e-05 tnm: 0.55 Lm: 6.607 (6.596) Lt: 5.886 (5.864) Accm: 3.22 (3.18) Acct: 5.04 (4.91) proj_loss: -0.6064 (-0.6110) time: 0.4904 data: 0.0003
[11-25 20:12:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1251/1669] eta: 0:03:32 tlr: 4.4e-05 tnm: 0.55 Lm: 6.578 (6.541) Lt: 5.855 (5.814) Accm: 3.17 (3.30) Acct: 5.03 (5.20) proj_loss: -0.6103 (-0.6086) time: 0.4904 data: 0.0003
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1668/1669] eta: 0:00:00 tlr: 4.4e-05 tnm: 0.54 Lm: 6.592 (6.551) Lt: 5.850 (5.821) Accm: 3.05 (3.22) Acct: 4.99 (5.08) proj_loss: -0.6085 (-0.6035) time: 0.5421 data: 0.0018
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 292/350] Total time: 0:14:18 (0.515 s / it)
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1668/1669] eta: 0:00:00 tlr: 4.4e-05 tnm: 0.54 Lm: 6.593 (6.560) Lt: 5.855 (5.825) Accm: 3.25 (3.26) Acct: 5.08 (5.10) proj_loss: -0.6024 (-0.6093) time: 0.5421 data: 0.0015
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1668/1669] eta: 0:00:00 tlr: 4.4e-05 tnm: 0.54 Lm: 6.500 (6.518) Lt: 5.755 (5.768) Accm: 3.38 (3.36) Acct: 5.41 (5.37) proj_loss: -0.6064 (-0.6070) time: 0.5421 data: 0.0016
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 292/350] [1668/1669] eta: 0:00:00 tlr: 4.4e-05 tnm: 0.54 Lm: 6.593 (6.602) Lt: 5.852 (5.857) Accm: 3.10 (3.09) Acct: 4.89 (4.83) proj_loss: -0.5877 (-0.5944) time: 0.5421 data: 0.0017
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 292/350] Total time: 0:14:18 (0.515 s / it)
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 292/350] Total time: 0:14:18 (0.515 s / it)
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 292/350] Total time: 0:14:18 (0.515 s / it)
[11-25 20:16:27] (/home/user/VAR/train.py , line 276)=> [ep292] (training ) Lm: 6.542 (6.553), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:09:24, Finish: 2024-11-25 17:25
[11-25 20:16:27] (/home/user/VAR/train.py , line 276)=> [ep292] (training ) Lm: 6.542 (6.553), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:09:24, Finish: 2024-11-25 17:25
[11-25 20:16:27] (/home/user/VAR/train.py , line 276)=> [ep292] (training ) Lm: 6.542 (6.553), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:09:23, Finish: 2024-11-25 17:25
[11-25 20:16:27] (/home/user/VAR/train.py , line 276)=> [ep292] (training ) Lm: 6.542 (6.553), Lt: 5.797 (5.808), Acc m&t: 3.28 5.14, Remain: 13:09:23, Finish: 2024-11-25 17:25
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 0/1669] eta: 0:13:06 tlr: 4.4e-05 tnm: 0.53 Lm: 6.546 (6.546) Lt: 5.776 (5.776) Accm: 3.16 (3.16) Acct: 5.01 (5.01) proj_loss: -0.6018 (-0.6018) time: 0.4710 data: 0.0004
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 0/1669] eta: 0:13:06 tlr: 4.4e-05 tnm: 0.53 Lm: 6.543 (6.543) Lt: 5.791 (5.791) Accm: 3.29 (3.29) Acct: 5.56 (5.56) proj_loss: -0.5991 (-0.5991) time: 0.4711 data: 0.0004
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 0/1669] eta: 0:13:07 tlr: 4.4e-05 tnm: 0.53 Lm: 6.639 (6.639) Lt: 5.913 (5.913) Accm: 3.07 (3.07) Acct: 4.91 (4.91) proj_loss: -0.6014 (-0.6014) time: 0.4718 data: 0.0004
[11-25 20:16:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 0/1669] eta: 0:13:07 tlr: 4.4e-05 tnm: 0.53 Lm: 6.442 (6.442) Lt: 5.637 (5.637) Accm: 3.91 (3.91) Acct: 6.16 (6.16) proj_loss: -0.6026 (-0.6026) time: 0.4718 data: 0.0003
[11-25 20:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 417/1669] eta: 0:10:17 tlr: 4.4e-05 tnm: 0.53 Lm: 6.440 (6.440) Lt: 5.696 (5.696) Accm: 3.88 (3.88) Acct: 5.84 (5.84) proj_loss: -0.6028 (-0.6028) time: 0.4892 data: 0.0003
[11-25 20:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 417/1669] eta: 0:10:17 tlr: 4.4e-05 tnm: 0.53 Lm: 6.493 (6.493) Lt: 5.731 (5.731) Accm: 3.43 (3.43) Acct: 5.60 (5.60) proj_loss: -0.5885 (-0.5885) time: 0.4892 data: 0.0003
[11-25 20:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 417/1669] eta: 0:10:17 tlr: 4.4e-05 tnm: 0.53 Lm: 6.557 (6.557) Lt: 5.822 (5.822) Accm: 3.23 (3.23) Acct: 5.05 (5.05) proj_loss: -0.6081 (-0.6081) time: 0.4892 data: 0.0003
[11-25 20:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 417/1669] eta: 0:10:17 tlr: 4.4e-05 tnm: 0.53 Lm: 6.559 (6.559) Lt: 5.796 (5.796) Accm: 3.22 (3.22) Acct: 5.16 (5.16) proj_loss: -0.5950 (-0.5950) time: 0.4892 data: 0.0003
[11-25 20:23:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 834/1669] eta: 0:06:52 tlr: 4.4e-05 tnm: 0.57 Lm: 6.546 (6.532) Lt: 5.776 (5.766) Accm: 3.28 (3.36) Acct: 5.30 (5.41) proj_loss: -0.5981 (-0.5960) time: 0.4861 data: 0.0003
[11-25 20:23:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 834/1669] eta: 0:06:52 tlr: 4.4e-05 tnm: 0.57 Lm: 6.639 (6.587) Lt: 5.913 (5.862) Accm: 3.07 (3.16) Acct: 4.96 (5.02) proj_loss: -0.6055 (-0.6072) time: 0.4861 data: 0.0003
[11-25 20:23:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 834/1669] eta: 0:06:52 tlr: 4.4e-05 tnm: 0.57 Lm: 6.442 (6.480) Lt: 5.754 (5.745) Accm: 3.84 (3.69) Acct: 5.51 (5.59) proj_loss: -0.6031 (-0.6051) time: 0.4861 data: 0.0003
[11-25 20:23:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [ 834/1669] eta: 0:06:52 tlr: 4.4e-05 tnm: 0.57 Lm: 6.448 (6.478) Lt: 5.696 (5.719) Accm: 3.56 (3.48) Acct: 5.56 (5.58) proj_loss: -0.5991 (-0.5962) time: 0.4861 data: 0.0003
[11-25 20:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1251/1669] eta: 0:03:27 tlr: 4.3e-05 tnm: 0.54 Lm: 6.446 (6.468) Lt: 5.696 (5.714) Accm: 3.51 (3.48) Acct: 5.55 (5.53) proj_loss: -0.5904 (-0.5926) time: 0.5980 data: 0.0003
[11-25 20:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1251/1669] eta: 0:03:27 tlr: 4.3e-05 tnm: 0.54 Lm: 6.644 (6.622) Lt: 5.928 (5.917) Accm: 3.04 (3.02) Acct: 4.93 (4.77) proj_loss: -0.6068 (-0.6075) time: 0.5980 data: 0.0003
[11-25 20:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1251/1669] eta: 0:03:27 tlr: 4.3e-05 tnm: 0.54 Lm: 6.501 (6.515) Lt: 5.798 (5.783) Accm: 3.58 (3.54) Acct: 5.30 (5.43) proj_loss: -0.6028 (-0.6031) time: 0.5980 data: 0.0003
[11-25 20:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1251/1669] eta: 0:03:27 tlr: 4.3e-05 tnm: 0.54 Lm: 6.519 (6.522) Lt: 5.789 (5.775) Accm: 3.46 (3.43) Acct: 5.31 (5.38) proj_loss: -0.5993 (-0.5971) time: 0.5980 data: 0.0003
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.54 Lm: 6.546 (6.547) Lt: 5.801 (5.814) Accm: 3.28 (3.34) Acct: 5.30 (5.27) proj_loss: -0.5990 (-0.5975) time: 0.4898 data: 0.0019
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 293/350] Total time: 0:13:54 (0.500 s / it)
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.54 Lm: 6.522 (6.516) Lt: 5.759 (5.778) Accm: 3.61 (3.56) Acct: 5.51 (5.53) proj_loss: -0.6031 (-0.6041) time: 0.4898 data: 0.0013
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.54 Lm: 6.639 (6.586) Lt: 5.913 (5.874) Accm: 3.07 (3.14) Acct: 4.96 (4.92) proj_loss: -0.6081 (-0.6078) time: 0.4898 data: 0.0016
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 293/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.54 Lm: 6.444 (6.433) Lt: 5.696 (5.666) Accm: 3.56 (3.61) Acct: 5.56 (5.71) proj_loss: -0.5981 (-0.5937) time: 0.4898 data: 0.0019
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 293/350] Total time: 0:13:54 (0.500 s / it)
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 293/350] Total time: 0:13:54 (0.500 s / it)
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 293/350] Total time: 0:13:54 (0.500 s / it)
[11-25 20:30:22] (/home/user/VAR/train.py , line 276)=> [ep293] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.810), Acc m&t: 3.28 5.14, Remain: 12:49:53, Finish: 2024-11-25 17:20
[11-25 20:30:22] (/home/user/VAR/train.py , line 276)=> [ep293] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.810), Acc m&t: 3.28 5.14, Remain: 12:50:03, Finish: 2024-11-25 17:20
[11-25 20:30:22] (/home/user/VAR/train.py , line 276)=> [ep293] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.810), Acc m&t: 3.28 5.14, Remain: 12:49:37, Finish: 2024-11-25 17:19
[11-25 20:30:22] (/home/user/VAR/train.py , line 276)=> [ep293] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.810), Acc m&t: 3.28 5.14, Remain: 12:49:55, Finish: 2024-11-25 17:20
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 0/1669] eta: 0:13:30 tlr: 4.3e-05 tnm: 0.54 Lm: 6.617 (6.617) Lt: 5.875 (5.875) Accm: 3.05 (3.05) Acct: 4.82 (4.82) proj_loss: -0.6007 (-0.6007) time: 0.4853 data: 0.0003
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 0/1669] eta: 0:13:30 tlr: 4.3e-05 tnm: 0.54 Lm: 6.380 (6.380) Lt: 5.534 (5.534) Accm: 3.84 (3.84) Acct: 6.04 (6.04) proj_loss: -0.6219 (-0.6219) time: 0.4857 data: 0.0003
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 0/1669] eta: 0:13:30 tlr: 4.3e-05 tnm: 0.54 Lm: 6.349 (6.349) Lt: 5.565 (5.565) Accm: 3.90 (3.90) Acct: 6.22 (6.22) proj_loss: -0.6103 (-0.6103) time: 0.4858 data: 0.0004
[11-25 20:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 0/1669] eta: 0:13:31 tlr: 4.3e-05 tnm: 0.54 Lm: 6.582 (6.582) Lt: 5.796 (5.796) Accm: 2.94 (2.94) Acct: 4.80 (4.80) proj_loss: -0.5974 (-0.5974) time: 0.4860 data: 0.0004
[11-25 20:34:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 417/1669] eta: 0:11:09 tlr: 4.3e-05 tnm: 0.57 Lm: 6.512 (6.512) Lt: 5.745 (5.745) Accm: 3.29 (3.29) Acct: 5.21 (5.21) proj_loss: -0.6113 (-0.6113) time: 0.5418 data: 0.0003
[11-25 20:34:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 417/1669] eta: 0:11:09 tlr: 4.3e-05 tnm: 0.57 Lm: 6.561 (6.561) Lt: 5.811 (5.811) Accm: 3.32 (3.32) Acct: 5.29 (5.29) proj_loss: -0.6019 (-0.6019) time: 0.5417 data: 0.0003
[11-25 20:34:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 417/1669] eta: 0:11:09 tlr: 4.3e-05 tnm: 0.57 Lm: 6.503 (6.503) Lt: 5.738 (5.738) Accm: 3.43 (3.43) Acct: 5.34 (5.34) proj_loss: -0.6196 (-0.6196) time: 0.5418 data: 0.0003
[11-25 20:34:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 417/1669] eta: 0:11:09 tlr: 4.3e-05 tnm: 0.57 Lm: 6.459 (6.459) Lt: 5.685 (5.685) Accm: 3.45 (3.45) Acct: 5.39 (5.39) proj_loss: -0.6161 (-0.6161) time: 0.5417 data: 0.0003
[11-25 20:37:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 834/1669] eta: 0:07:15 tlr: 4.3e-05 tnm: 0.55 Lm: 6.479 (6.466) Lt: 5.766 (5.712) Accm: 3.50 (3.46) Acct: 5.51 (5.43) proj_loss: -0.6188 (-0.6170) time: 0.5410 data: 0.0003
[11-25 20:37:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 834/1669] eta: 0:07:15 tlr: 4.3e-05 tnm: 0.55 Lm: 6.612 (6.578) Lt: 5.875 (5.838) Accm: 3.09 (3.24) Acct: 4.82 (5.13) proj_loss: -0.6007 (-0.5959) time: 0.5410 data: 0.0003
[11-25 20:37:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 834/1669] eta: 0:07:15 tlr: 4.3e-05 tnm: 0.55 Lm: 6.531 (6.512) Lt: 5.802 (5.759) Accm: 3.51 (3.46) Acct: 5.63 (5.44) proj_loss: -0.6173 (-0.6116) time: 0.5410 data: 0.0003
[11-25 20:37:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [ 834/1669] eta: 0:07:15 tlr: 4.3e-05 tnm: 0.55 Lm: 6.442 (6.482) Lt: 5.693 (5.707) Accm: 3.63 (3.40) Acct: 5.61 (5.38) proj_loss: -0.5974 (-0.6049) time: 0.5410 data: 0.0003
[11-25 20:41:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1251/1669] eta: 0:03:33 tlr: 4.3e-05 tnm: 0.54 Lm: 6.507 (6.505) Lt: 5.743 (5.729) Accm: 3.51 (3.40) Acct: 5.66 (5.46) proj_loss: -0.6025 (-0.6056) time: 0.4935 data: 0.0003
[11-25 20:41:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1251/1669] eta: 0:03:33 tlr: 4.3e-05 tnm: 0.54 Lm: 6.558 (6.510) Lt: 5.811 (5.763) Accm: 3.34 (3.41) Acct: 5.29 (5.40) proj_loss: -0.6019 (-0.5983) time: 0.4936 data: 0.0003
[11-25 20:41:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1251/1669] eta: 0:03:33 tlr: 4.3e-05 tnm: 0.54 Lm: 6.578 (6.556) Lt: 5.869 (5.804) Accm: 3.27 (3.25) Acct: 5.13 (5.15) proj_loss: -0.6064 (-0.6054) time: 0.4936 data: 0.0003
[11-25 20:41:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1251/1669] eta: 0:03:33 tlr: 4.3e-05 tnm: 0.54 Lm: 6.508 (6.483) Lt: 5.770 (5.727) Accm: 3.25 (3.32) Acct: 5.23 (5.31) proj_loss: -0.6146 (-0.6088) time: 0.4936 data: 0.0003
[11-25 20:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.55 Lm: 6.479 (6.473) Lt: 5.766 (5.716) Accm: 3.26 (3.31) Acct: 5.06 (5.26) proj_loss: -0.6103 (-0.6055) time: 0.4938 data: 0.0017
[11-25 20:44:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 294/350] Total time: 0:14:04 (0.506 s / it)
[11-25 20:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.55 Lm: 6.531 (6.544) Lt: 5.802 (5.796) Accm: 3.29 (3.26) Acct: 4.99 (5.12) proj_loss: -0.5956 (-0.6015) time: 0.4938 data: 0.0020
[11-25 20:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.55 Lm: 6.532 (6.514) Lt: 5.792 (5.769) Accm: 3.29 (3.39) Acct: 5.04 (5.33) proj_loss: -0.6031 (-0.6012) time: 0.4938 data: 0.0015
[11-25 20:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 294/350] [1668/1669] eta: 0:00:00 tlr: 4.3e-05 tnm: 0.55 Lm: 6.572 (6.533) Lt: 5.792 (5.775) Accm: 3.38 (3.27) Acct: 5.61 (5.18) proj_loss: -0.6076 (-0.6110) time: 0.4938 data: 0.0018
[11-25 20:44:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 294/350] Total time: 0:14:04 (0.506 s / it)
[11-25 20:44:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 294/350] Total time: 0:14:04 (0.506 s / it)
[11-25 20:44:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 294/350] Total time: 0:14:04 (0.506 s / it)
[11-25 20:44:26] (/home/user/VAR/train.py , line 276)=> [ep294] (training ) Lm: 6.542 (6.546), Lt: 5.797 (5.801), Acc m&t: 3.28 5.14, Remain: 12:43:19, Finish: 2024-11-25 17:27
[11-25 20:44:26] (/home/user/VAR/train.py , line 276)=> [ep294] (training ) Lm: 6.542 (6.546), Lt: 5.797 (5.801), Acc m&t: 3.28 5.14, Remain: 12:43:25, Finish: 2024-11-25 17:27
[11-25 20:44:26] (/home/user/VAR/train.py , line 276)=> [ep294] (training ) Lm: 6.542 (6.546), Lt: 5.797 (5.801), Acc m&t: 3.28 5.14, Remain: 12:43:04, Finish: 2024-11-25 17:27
[11-25 20:44:26] (/home/user/VAR/train.py , line 276)=> [ep294] (training ) Lm: 6.542 (6.546), Lt: 5.797 (5.801), Acc m&t: 3.28 5.14, Remain: 12:43:24, Finish: 2024-11-25 17:27
[11-25 20:44:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 0/1669] eta: 0:12:38 tlr: 4.3e-05 tnm: 0.55 Lm: 6.393 (6.393) Lt: 5.604 (5.604) Accm: 3.67 (3.67) Acct: 5.63 (5.63) proj_loss: -0.6055 (-0.6055) time: 0.4547 data: 0.0004
[11-25 20:44:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 0/1669] eta: 0:12:38 tlr: 4.3e-05 tnm: 0.55 Lm: 6.503 (6.503) Lt: 5.749 (5.749) Accm: 3.23 (3.23) Acct: 5.30 (5.30) proj_loss: -0.5963 (-0.5963) time: 0.4545 data: 0.0005
[11-25 20:44:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 0/1669] eta: 0:12:39 tlr: 4.3e-05 tnm: 0.55 Lm: 6.566 (6.566) Lt: 5.830 (5.830) Accm: 3.15 (3.15) Acct: 4.72 (4.72) proj_loss: -0.5992 (-0.5992) time: 0.4549 data: 0.0004
[11-25 20:44:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 0/1669] eta: 0:12:39 tlr: 4.3e-05 tnm: 0.55 Lm: 6.552 (6.552) Lt: 5.810 (5.810) Accm: 3.31 (3.31) Acct: 5.18 (5.18) proj_loss: -0.6111 (-0.6111) time: 0.4549 data: 0.0004
[11-25 20:48:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 417/1669] eta: 0:10:45 tlr: 4.2e-05 tnm: 0.53 Lm: 6.627 (6.627) Lt: 5.888 (5.888) Accm: 3.04 (3.04) Acct: 4.82 (4.82) proj_loss: -0.6032 (-0.6032) time: 0.5433 data: 0.0003
[11-25 20:48:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 417/1669] eta: 0:10:45 tlr: 4.2e-05 tnm: 0.53 Lm: 6.558 (6.558) Lt: 5.777 (5.777) Accm: 3.25 (3.25) Acct: 4.97 (4.97) proj_loss: -0.5979 (-0.5979) time: 0.5433 data: 0.0003
[11-25 20:48:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 417/1669] eta: 0:10:45 tlr: 4.2e-05 tnm: 0.53 Lm: 6.478 (6.478) Lt: 5.719 (5.719) Accm: 3.51 (3.51) Acct: 5.66 (5.66) proj_loss: -0.5948 (-0.5948) time: 0.5433 data: 0.0003
[11-25 20:48:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 417/1669] eta: 0:10:45 tlr: 4.2e-05 tnm: 0.53 Lm: 6.576 (6.576) Lt: 5.843 (5.843) Accm: 3.04 (3.04) Acct: 4.73 (4.73) proj_loss: -0.5889 (-0.5889) time: 0.5433 data: 0.0003
[11-25 20:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 834/1669] eta: 0:07:09 tlr: 4.2e-05 tnm: 0.55 Lm: 6.587 (6.598) Lt: 5.856 (5.869) Accm: 3.15 (3.09) Acct: 4.73 (4.81) proj_loss: -0.5992 (-0.5956) time: 0.4896 data: 0.0003
[11-25 20:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 834/1669] eta: 0:07:09 tlr: 4.2e-05 tnm: 0.55 Lm: 6.532 (6.549) Lt: 5.759 (5.771) Accm: 3.40 (3.30) Acct: 5.44 (5.13) proj_loss: -0.5946 (-0.5968) time: 0.4896 data: 0.0003
[11-25 20:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 834/1669] eta: 0:07:09 tlr: 4.2e-05 tnm: 0.55 Lm: 6.642 (6.632) Lt: 5.893 (5.890) Accm: 3.13 (3.07) Acct: 5.18 (4.97) proj_loss: -0.6102 (-0.6055) time: 0.4896 data: 0.0003
[11-25 20:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [ 834/1669] eta: 0:07:09 tlr: 4.2e-05 tnm: 0.55 Lm: 6.503 (6.525) Lt: 5.749 (5.773) Accm: 3.23 (3.39) Acct: 5.30 (5.52) proj_loss: -0.5963 (-0.5971) time: 0.4896 data: 0.0003
[11-25 20:55:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1251/1669] eta: 0:03:36 tlr: 4.2e-05 tnm: 0.56 Lm: 6.537 (6.537) Lt: 5.752 (5.769) Accm: 3.22 (3.35) Acct: 5.35 (5.49) proj_loss: -0.5964 (-0.5969) time: 0.6553 data: 0.0003
[11-25 20:55:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1251/1669] eta: 0:03:36 tlr: 4.2e-05 tnm: 0.56 Lm: 6.538 (6.548) Lt: 5.777 (5.777) Accm: 3.27 (3.26) Acct: 5.29 (5.13) proj_loss: -0.6001 (-0.6008) time: 0.6553 data: 0.0003
[11-25 20:55:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1251/1669] eta: 0:03:36 tlr: 4.2e-05 tnm: 0.56 Lm: 6.597 (6.593) Lt: 5.851 (5.854) Accm: 3.22 (3.15) Acct: 5.11 (4.99) proj_loss: -0.6106 (-0.6073) time: 0.6553 data: 0.0003
[11-25 20:55:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1251/1669] eta: 0:03:36 tlr: 4.2e-05 tnm: 0.56 Lm: 6.576 (6.552) Lt: 5.843 (5.817) Accm: 3.17 (3.32) Acct: 4.86 (5.11) proj_loss: -0.5993 (-0.5965) time: 0.6553 data: 0.0003
[11-25 20:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1668/1669] eta: 0:00:00 tlr: 4.2e-05 tnm: 0.57 Lm: 6.587 (6.567) Lt: 5.856 (5.825) Accm: 3.16 (3.29) Acct: 4.98 (5.09) proj_loss: -0.5992 (-0.5968) time: 0.5506 data: 0.0017
[11-25 20:58:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 295/350] Total time: 0:14:19 (0.515 s / it)
[11-25 20:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1668/1669] eta: 0:00:00 tlr: 4.2e-05 tnm: 0.57 Lm: 6.552 (6.561) Lt: 5.810 (5.799) Accm: 3.31 (3.23) Acct: 5.18 (5.17) proj_loss: -0.6102 (-0.6053) time: 0.5506 data: 0.0017
[11-25 20:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1668/1669] eta: 0:00:00 tlr: 4.2e-05 tnm: 0.57 Lm: 6.544 (6.550) Lt: 5.796 (5.786) Accm: 3.17 (3.24) Acct: 5.15 (5.08) proj_loss: -0.6055 (-0.6026) time: 0.5506 data: 0.0017
[11-25 20:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 295/350] [1668/1669] eta: 0:00:00 tlr: 4.2e-05 tnm: 0.57 Lm: 6.570 (6.547) Lt: 5.756 (5.782) Accm: 3.21 (3.30) Acct: 5.30 (5.38) proj_loss: -0.5963 (-0.5944) time: 0.5506 data: 0.0017
[11-25 20:58:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 295/350] Total time: 0:14:19 (0.515 s / it)
[11-25 20:58:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 295/350] Total time: 0:14:19 (0.515 s / it)
[11-25 20:58:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 295/350] Total time: 0:14:19 (0.515 s / it)
[11-25 20:58:46] (/home/user/VAR/train.py , line 276)=> [ep295] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.810), Acc m&t: 3.28 5.14, Remain: 12:27:30, Finish: 2024-11-25 17:26
[11-25 20:58:46] (/home/user/VAR/train.py , line 276)=> [ep295] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.810), Acc m&t: 3.28 5.14, Remain: 12:27:45, Finish: 2024-11-25 17:26
[11-25 20:58:46] (/home/user/VAR/train.py , line 276)=> [ep295] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.810), Acc m&t: 3.28 5.14, Remain: 12:28:00, Finish: 2024-11-25 17:26
[11-25 20:58:46] (/home/user/VAR/train.py , line 276)=> [ep295] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.810), Acc m&t: 3.28 5.14, Remain: 12:27:50, Finish: 2024-11-25 17:26
[11-25 20:58:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 0/1669] eta: 0:12:47 tlr: 4.2e-05 tnm: 0.55 Lm: 6.537 (6.537) Lt: 5.790 (5.790) Accm: 3.53 (3.53) Acct: 5.82 (5.82) proj_loss: -0.5943 (-0.5943) time: 0.4598 data: 0.0003
[11-25 20:58:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 0/1669] eta: 0:12:58 tlr: 4.2e-05 tnm: 0.55 Lm: 6.652 (6.652) Lt: 5.889 (5.889) Accm: 2.88 (2.88) Acct: 4.67 (4.67) proj_loss: -0.5715 (-0.5715) time: 0.4662 data: 0.0004
[11-25 20:58:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 0/1669] eta: 0:12:58 tlr: 4.2e-05 tnm: 0.55 Lm: 6.391 (6.391) Lt: 5.679 (5.679) Accm: 3.91 (3.91) Acct: 5.56 (5.56) proj_loss: -0.6023 (-0.6023) time: 0.4664 data: 0.0004
[11-25 20:58:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 0/1669] eta: 0:12:48 tlr: 4.2e-05 tnm: 0.55 Lm: 6.560 (6.560) Lt: 5.878 (5.878) Accm: 3.26 (3.26) Acct: 5.01 (5.01) proj_loss: -0.6066 (-0.6066) time: 0.4603 data: 0.0003
[11-25 21:02:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 417/1669] eta: 0:10:14 tlr: 4.2e-05 tnm: 0.55 Lm: 6.569 (6.569) Lt: 5.832 (5.832) Accm: 3.21 (3.21) Acct: 5.14 (5.14) proj_loss: -0.6140 (-0.6140) time: 0.4915 data: 0.0003
[11-25 21:02:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 417/1669] eta: 0:10:14 tlr: 4.2e-05 tnm: 0.55 Lm: 6.527 (6.527) Lt: 5.785 (5.785) Accm: 3.42 (3.42) Acct: 5.50 (5.50) proj_loss: -0.5933 (-0.5933) time: 0.4915 data: 0.0003
[11-25 21:02:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 417/1669] eta: 0:10:14 tlr: 4.2e-05 tnm: 0.55 Lm: 6.661 (6.661) Lt: 5.922 (5.922) Accm: 2.86 (2.86) Acct: 4.54 (4.54) proj_loss: -0.5847 (-0.5847) time: 0.4915 data: 0.0003
[11-25 21:02:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 417/1669] eta: 0:10:14 tlr: 4.2e-05 tnm: 0.55 Lm: 6.465 (6.465) Lt: 5.719 (5.719) Accm: 3.58 (3.58) Acct: 5.33 (5.33) proj_loss: -0.6022 (-0.6022) time: 0.4915 data: 0.0003
[11-25 21:05:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 834/1669] eta: 0:06:52 tlr: 4.1e-05 tnm: 0.56 Lm: 6.652 (6.597) Lt: 5.889 (5.846) Accm: 2.88 (3.06) Acct: 4.67 (4.90) proj_loss: -0.5876 (-0.5856) time: 0.5357 data: 0.0003
[11-25 21:05:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 834/1669] eta: 0:06:52 tlr: 4.1e-05 tnm: 0.56 Lm: 6.519 (6.524) Lt: 5.779 (5.778) Accm: 3.31 (3.29) Acct: 5.18 (5.21) proj_loss: -0.5943 (-0.5946) time: 0.5357 data: 0.0003
[11-25 21:05:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 834/1669] eta: 0:06:52 tlr: 4.1e-05 tnm: 0.56 Lm: 6.560 (6.564) Lt: 5.878 (5.853) Accm: 3.15 (3.15) Acct: 5.01 (4.92) proj_loss: -0.6066 (-0.6103) time: 0.5357 data: 0.0003
[11-25 21:05:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [ 834/1669] eta: 0:06:52 tlr: 4.1e-05 tnm: 0.56 Lm: 6.438 (6.456) Lt: 5.679 (5.703) Accm: 3.57 (3.58) Acct: 5.56 (5.46) proj_loss: -0.6021 (-0.5963) time: 0.5357 data: 0.0003
[11-25 21:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1251/1669] eta: 0:03:27 tlr: 4.1e-05 tnm: 0.55 Lm: 6.489 (6.510) Lt: 5.719 (5.759) Accm: 3.41 (3.43) Acct: 5.33 (5.25) proj_loss: -0.5946 (-0.5940) time: 0.5427 data: 0.0003
[11-25 21:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1251/1669] eta: 0:03:27 tlr: 4.1e-05 tnm: 0.55 Lm: 6.556 (6.559) Lt: 5.845 (5.843) Accm: 3.21 (3.19) Acct: 4.98 (4.92) proj_loss: -0.6078 (-0.6099) time: 0.5427 data: 0.0003
[11-25 21:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1251/1669] eta: 0:03:27 tlr: 4.1e-05 tnm: 0.55 Lm: 6.528 (6.552) Lt: 5.785 (5.820) Accm: 3.24 (3.26) Acct: 5.11 (5.16) proj_loss: -0.5933 (-0.5927) time: 0.5427 data: 0.0002
[11-25 21:09:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1251/1669] eta: 0:03:27 tlr: 4.1e-05 tnm: 0.55 Lm: 6.622 (6.596) Lt: 5.876 (5.850) Accm: 3.12 (3.14) Acct: 4.88 (4.95) proj_loss: -0.5927 (-0.5903) time: 0.5428 data: 0.0003
[11-25 21:12:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1668/1669] eta: 0:00:00 tlr: 4.1e-05 tnm: 0.55 Lm: 6.591 (6.551) Lt: 5.863 (5.802) Accm: 3.36 (3.26) Acct: 5.10 (5.18) proj_loss: -0.5978 (-0.5923) time: 0.5460 data: 0.0020
[11-25 21:12:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 296/350] Total time: 0:14:00 (0.503 s / it)
[11-25 21:12:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1668/1669] eta: 0:00:00 tlr: 4.1e-05 tnm: 0.55 Lm: 6.537 (6.551) Lt: 5.790 (5.818) Accm: 3.31 (3.28) Acct: 5.11 (5.15) proj_loss: -0.5943 (-0.5969) time: 0.5460 data: 0.0013
[11-25 21:12:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1668/1669] eta: 0:00:00 tlr: 4.1e-05 tnm: 0.55 Lm: 6.497 (6.508) Lt: 5.759 (5.762) Accm: 3.41 (3.43) Acct: 5.39 (5.28) proj_loss: -0.6021 (-0.5956) time: 0.5460 data: 0.0019
[11-25 21:12:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 296/350] [1668/1669] eta: 0:00:00 tlr: 4.1e-05 tnm: 0.55 Lm: 6.552 (6.538) Lt: 5.812 (5.822) Accm: 3.26 (3.24) Acct: 5.01 (4.95) proj_loss: -0.6090 (-0.6121) time: 0.5461 data: 0.0019
[11-25 21:12:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 296/350] Total time: 0:14:00 (0.503 s / it)
[11-25 21:12:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 296/350] Total time: 0:14:00 (0.503 s / it)
[11-25 21:12:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 296/350] Total time: 0:14:00 (0.503 s / it)
[11-25 21:12:46] (/home/user/VAR/train.py , line 276)=> [ep296] (training ) Lm: 6.542 (6.545), Lt: 5.797 (5.802), Acc m&t: 3.28 5.15, Remain: 12:15:58, Finish: 2024-11-25 17:28
[11-25 21:12:46] (/home/user/VAR/train.py , line 276)=> [ep296] (training ) Lm: 6.542 (6.545), Lt: 5.797 (5.802), Acc m&t: 3.28 5.15, Remain: 12:16:06, Finish: 2024-11-25 17:28
[11-25 21:12:46] (/home/user/VAR/train.py , line 276)=> [ep296] (training ) Lm: 6.542 (6.545), Lt: 5.797 (5.802), Acc m&t: 3.28 5.15, Remain: 12:15:59, Finish: 2024-11-25 17:28
[11-25 21:12:46] (/home/user/VAR/train.py , line 276)=> [ep296] (training ) Lm: 6.542 (6.545), Lt: 5.797 (5.802), Acc m&t: 3.28 5.15, Remain: 12:16:10, Finish: 2024-11-25 17:28
[11-25 21:12:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 0/1669] eta: 0:13:04 tlr: 4.1e-05 tnm: 0.54 Lm: 6.500 (6.500) Lt: 5.812 (5.812) Accm: 3.21 (3.21) Acct: 5.13 (5.13) proj_loss: -0.6207 (-0.6207) time: 0.4701 data: 0.0004
[11-25 21:12:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 0/1669] eta: 0:13:03 tlr: 4.1e-05 tnm: 0.54 Lm: 6.328 (6.328) Lt: 5.503 (5.503) Accm: 4.10 (4.10) Acct: 6.56 (6.56) proj_loss: -0.5793 (-0.5793) time: 0.4695 data: 0.0004
[11-25 21:12:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 0/1669] eta: 0:13:04 tlr: 4.1e-05 tnm: 0.54 Lm: 6.687 (6.687) Lt: 5.960 (5.960) Accm: 3.03 (3.03) Acct: 4.87 (4.87) proj_loss: -0.6061 (-0.6061) time: 0.4701 data: 0.0004
[11-25 21:12:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 0/1669] eta: 0:13:04 tlr: 4.1e-05 tnm: 0.54 Lm: 6.528 (6.528) Lt: 5.785 (5.785) Accm: 3.18 (3.18) Acct: 5.23 (5.23) proj_loss: -0.5931 (-0.5931) time: 0.4701 data: 0.0004
[11-25 21:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 417/1669] eta: 0:10:49 tlr: 4.1e-05 tnm: 0.54 Lm: 6.520 (6.520) Lt: 5.811 (5.811) Accm: 3.21 (3.21) Acct: 5.07 (5.07) proj_loss: -0.5997 (-0.5997) time: 0.4911 data: 0.0003
[11-25 21:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 417/1669] eta: 0:10:49 tlr: 4.1e-05 tnm: 0.54 Lm: 6.365 (6.365) Lt: 5.546 (5.546) Accm: 3.95 (3.95) Acct: 6.37 (6.37) proj_loss: -0.5922 (-0.5922) time: 0.4911 data: 0.0003
[11-25 21:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 417/1669] eta: 0:10:49 tlr: 4.1e-05 tnm: 0.54 Lm: 6.519 (6.519) Lt: 5.816 (5.816) Accm: 3.29 (3.29) Acct: 5.23 (5.23) proj_loss: -0.6163 (-0.6163) time: 0.4911 data: 0.0003
[11-25 21:16:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 417/1669] eta: 0:10:49 tlr: 4.1e-05 tnm: 0.54 Lm: 6.608 (6.608) Lt: 5.857 (5.857) Accm: 3.12 (3.12) Acct: 4.98 (4.98) proj_loss: -0.5999 (-0.5999) time: 0.4911 data: 0.0003
[11-25 21:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 834/1669] eta: 0:07:09 tlr: 4.1e-05 tnm: 0.56 Lm: 6.678 (6.631) Lt: 5.960 (5.895) Accm: 3.06 (3.10) Acct: 4.87 (4.93) proj_loss: -0.5936 (-0.5929) time: 0.4904 data: 0.0003
[11-25 21:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 834/1669] eta: 0:07:09 tlr: 4.1e-05 tnm: 0.56 Lm: 6.528 (6.530) Lt: 5.785 (5.799) Accm: 3.24 (3.27) Acct: 5.23 (5.23) proj_loss: -0.6062 (-0.6064) time: 0.4904 data: 0.0003
[11-25 21:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 834/1669] eta: 0:07:09 tlr: 4.1e-05 tnm: 0.56 Lm: 6.500 (6.469) Lt: 5.812 (5.741) Accm: 3.37 (3.49) Acct: 5.34 (5.50) proj_loss: -0.6119 (-0.6019) time: 0.4904 data: 0.0003
[11-25 21:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [ 834/1669] eta: 0:07:09 tlr: 4.1e-05 tnm: 0.56 Lm: 6.402 (6.419) Lt: 5.589 (5.623) Accm: 3.80 (3.78) Acct: 6.18 (5.99) proj_loss: -0.5952 (-0.5932) time: 0.4904 data: 0.0003
[11-25 21:23:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1251/1669] eta: 0:03:31 tlr: 4e-05 tnm: 0.56 Lm: 6.465 (6.492) Lt: 5.684 (5.709) Accm: 3.62 (3.60) Acct: 5.70 (5.75) proj_loss: -0.5891 (-0.5906) time: 0.4903 data: 0.0002
[11-25 21:23:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1251/1669] eta: 0:03:31 tlr: 4e-05 tnm: 0.56 Lm: 6.520 (6.516) Lt: 5.781 (5.779) Accm: 3.31 (3.41) Acct: 5.40 (5.46) proj_loss: -0.6068 (-0.6066) time: 0.4903 data: 0.0003
[11-25 21:23:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1251/1669] eta: 0:03:31 tlr: 4e-05 tnm: 0.56 Lm: 6.603 (6.600) Lt: 5.857 (5.856) Accm: 3.13 (3.15) Acct: 4.98 (5.04) proj_loss: -0.5932 (-0.5929) time: 0.4903 data: 0.0003
[11-25 21:23:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1251/1669] eta: 0:03:31 tlr: 4e-05 tnm: 0.56 Lm: 6.519 (6.489) Lt: 5.812 (5.758) Accm: 3.29 (3.40) Acct: 5.23 (5.35) proj_loss: -0.6104 (-0.6037) time: 0.4903 data: 0.0003
[11-25 21:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.54 Lm: 6.539 (6.526) Lt: 5.812 (5.796) Accm: 3.21 (3.31) Acct: 5.13 (5.26) proj_loss: -0.6089 (-0.6040) time: 0.5938 data: 0.0021
[11-25 21:26:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 297/350] Total time: 0:14:01 (0.504 s / it)
[11-25 21:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.54 Lm: 6.646 (6.609) Lt: 5.911 (5.867) Accm: 3.06 (3.10) Acct: 4.87 (5.00) proj_loss: -0.5936 (-0.5955) time: 0.5938 data: 0.0015
[11-25 21:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.54 Lm: 6.513 (6.486) Lt: 5.777 (5.729) Accm: 3.38 (3.47) Acct: 5.56 (5.57) proj_loss: -0.6062 (-0.6033) time: 0.5938 data: 0.0018
[11-25 21:26:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 297/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.54 Lm: 6.528 (6.515) Lt: 5.779 (5.730) Accm: 3.43 (3.53) Acct: 5.22 (5.61) proj_loss: -0.5952 (-0.5925) time: 0.5938 data: 0.0015
[11-25 21:26:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 297/350] Total time: 0:14:01 (0.504 s / it)
[11-25 21:26:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 297/350] Total time: 0:14:01 (0.504 s / it)
[11-25 21:26:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 297/350] Total time: 0:14:01 (0.504 s / it)
[11-25 21:26:48] (/home/user/VAR/train.py , line 276)=> [ep297] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.803), Acc m&t: 3.28 5.16, Remain: 11:53:21, Finish: 2024-11-25 17:20
[11-25 21:26:48] (/home/user/VAR/train.py , line 276)=> [ep297] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.803), Acc m&t: 3.28 5.16, Remain: 11:53:51, Finish: 2024-11-25 17:20
[11-25 21:26:48] (/home/user/VAR/train.py , line 276)=> [ep297] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.803), Acc m&t: 3.28 5.16, Remain: 11:53:48, Finish: 2024-11-25 17:20
[11-25 21:26:48] (/home/user/VAR/train.py , line 276)=> [ep297] (training ) Lm: 6.542 (6.551), Lt: 5.797 (5.803), Acc m&t: 3.28 5.16, Remain: 11:53:31, Finish: 2024-11-25 17:20
[11-25 21:26:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 0/1669] eta: 0:13:06 tlr: 4e-05 tnm: 0.57 Lm: 6.586 (6.586) Lt: 5.794 (5.794) Accm: 3.19 (3.19) Acct: 5.10 (5.10) proj_loss: -0.5830 (-0.5830) time: 0.4711 data: 0.0004
[11-25 21:26:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 0/1669] eta: 0:13:06 tlr: 4e-05 tnm: 0.57 Lm: 6.411 (6.411) Lt: 5.638 (5.638) Accm: 4.02 (4.02) Acct: 6.13 (6.13) proj_loss: -0.6100 (-0.6100) time: 0.4714 data: 0.0003
[11-25 21:26:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 0/1669] eta: 0:13:06 tlr: 4e-05 tnm: 0.57 Lm: 6.545 (6.545) Lt: 5.767 (5.767) Accm: 3.16 (3.16) Acct: 5.27 (5.27) proj_loss: -0.6002 (-0.6002) time: 0.4713 data: 0.0004
[11-25 21:26:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 0/1669] eta: 0:13:07 tlr: 4e-05 tnm: 0.57 Lm: 6.466 (6.466) Lt: 5.666 (5.666) Accm: 3.66 (3.66) Acct: 5.75 (5.75) proj_loss: -0.5912 (-0.5912) time: 0.4716 data: 0.0004
[11-25 21:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 417/1669] eta: 0:10:40 tlr: 4e-05 tnm: 0.55 Lm: 6.547 (6.547) Lt: 5.799 (5.799) Accm: 3.30 (3.30) Acct: 5.06 (5.06) proj_loss: -0.6041 (-0.6041) time: 0.4924 data: 0.0003
[11-25 21:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 417/1669] eta: 0:10:40 tlr: 4e-05 tnm: 0.55 Lm: 6.461 (6.461) Lt: 5.726 (5.726) Accm: 3.73 (3.73) Acct: 5.60 (5.60) proj_loss: -0.6096 (-0.6096) time: 0.4924 data: 0.0003
[11-25 21:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 417/1669] eta: 0:10:40 tlr: 4e-05 tnm: 0.55 Lm: 6.464 (6.464) Lt: 5.672 (5.672) Accm: 3.28 (3.28) Acct: 5.29 (5.29) proj_loss: -0.5880 (-0.5880) time: 0.4924 data: 0.0003
[11-25 21:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 417/1669] eta: 0:10:40 tlr: 4e-05 tnm: 0.55 Lm: 6.606 (6.606) Lt: 5.872 (5.872) Accm: 3.18 (3.18) Acct: 4.97 (4.97) proj_loss: -0.6044 (-0.6044) time: 0.4924 data: 0.0003
[11-25 21:33:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 834/1669] eta: 0:07:06 tlr: 4e-05 tnm: 0.55 Lm: 6.586 (6.575) Lt: 5.794 (5.837) Accm: 3.19 (3.27) Acct: 5.10 (5.18) proj_loss: -0.6046 (-0.6044) time: 0.4929 data: 0.0003
[11-25 21:33:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 834/1669] eta: 0:07:06 tlr: 4e-05 tnm: 0.55 Lm: 6.511 (6.510) Lt: 5.814 (5.775) Accm: 3.44 (3.49) Acct: 5.08 (5.28) proj_loss: -0.6092 (-0.6049) time: 0.4929 data: 0.0003
[11-25 21:33:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 834/1669] eta: 0:07:06 tlr: 4e-05 tnm: 0.55 Lm: 6.545 (6.498) Lt: 5.767 (5.714) Accm: 3.27 (3.28) Acct: 5.27 (5.23) proj_loss: -0.6000 (-0.5920) time: 0.4929 data: 0.0003
[11-25 21:33:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [ 834/1669] eta: 0:07:06 tlr: 4e-05 tnm: 0.55 Lm: 6.627 (6.603) Lt: 5.932 (5.873) Accm: 2.98 (3.19) Acct: 4.56 (4.90) proj_loss: -0.5912 (-0.5984) time: 0.4929 data: 0.0003
[11-25 21:37:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1251/1669] eta: 0:03:35 tlr: 4e-05 tnm: 0.55 Lm: 6.643 (6.617) Lt: 5.927 (5.885) Accm: 2.98 (3.14) Acct: 4.58 (4.82) proj_loss: -0.6012 (-0.6016) time: 0.4907 data: 0.0003
[11-25 21:37:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1251/1669] eta: 0:03:35 tlr: 4e-05 tnm: 0.55 Lm: 6.564 (6.567) Lt: 5.811 (5.835) Accm: 3.33 (3.42) Acct: 5.29 (5.26) proj_loss: -0.6049 (-0.6046) time: 0.4907 data: 0.0003
[11-25 21:37:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1251/1669] eta: 0:03:35 tlr: 4e-05 tnm: 0.55 Lm: 6.513 (6.494) Lt: 5.757 (5.722) Accm: 3.29 (3.28) Acct: 5.20 (5.16) proj_loss: -0.6001 (-0.5964) time: 0.4907 data: 0.0003
[11-25 21:37:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1251/1669] eta: 0:03:35 tlr: 4e-05 tnm: 0.55 Lm: 6.559 (6.553) Lt: 5.843 (5.823) Accm: 3.23 (3.34) Acct: 4.86 (5.10) proj_loss: -0.6056 (-0.6042) time: 0.4907 data: 0.0003
[11-25 21:41:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.56 Lm: 6.520 (6.547) Lt: 5.814 (5.809) Accm: 3.40 (3.35) Acct: 5.08 (5.13) proj_loss: -0.6021 (-0.6003) time: 0.4891 data: 0.0022
[11-25 21:41:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 298/350] Total time: 0:14:15 (0.513 s / it)
[11-25 21:41:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.56 Lm: 6.543 (6.546) Lt: 5.794 (5.799) Accm: 3.47 (3.46) Acct: 5.49 (5.33) proj_loss: -0.6046 (-0.5994) time: 0.4891 data: 0.0015
[11-25 21:41:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.56 Lm: 6.627 (6.617) Lt: 5.922 (5.893) Accm: 2.98 (3.10) Acct: 4.60 (4.79) proj_loss: -0.6112 (-0.6059) time: 0.4891 data: 0.0018
[11-25 21:41:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 298/350] [1668/1669] eta: 0:00:00 tlr: 4e-05 tnm: 0.56 Lm: 6.481 (6.462) Lt: 5.746 (5.685) Accm: 3.31 (3.39) Acct: 5.27 (5.34) proj_loss: -0.6000 (-0.5928) time: 0.4891 data: 0.0018
[11-25 21:41:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 298/350] Total time: 0:14:15 (0.513 s / it)
[11-25 21:41:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 298/350] Total time: 0:14:15 (0.513 s / it)
[11-25 21:41:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 298/350] Total time: 0:14:15 (0.513 s / it)
[11-25 21:41:03] (/home/user/VAR/train.py , line 276)=> [ep298] (training ) Lm: 6.532 (6.532), Lt: 5.785 (5.785), Acc m&t: 3.35 5.24, Remain: 11:43:48, Finish: 2024-11-25 17:24
[11-25 21:41:03] (/home/user/VAR/train.py , line 276)=> [ep298] (training ) Lm: 6.532 (6.532), Lt: 5.785 (5.785), Acc m&t: 3.35 5.24, Remain: 11:43:52, Finish: 2024-11-25 17:24
[11-25 21:41:03] (/home/user/VAR/train.py , line 276)=> [ep298] (training ) Lm: 6.532 (6.532), Lt: 5.785 (5.785), Acc m&t: 3.35 5.24, Remain: 11:44:07, Finish: 2024-11-25 17:25
[11-25 21:41:03] (/home/user/VAR/train.py , line 276)=> [ep298] (training ) Lm: 6.532 (6.532), Lt: 5.785 (5.785), Acc m&t: 3.35 5.24, Remain: 11:43:11, Finish: 2024-11-25 17:24
[11-25 21:41:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 0/1669] eta: 0:13:29 tlr: 4e-05 tnm: 0.55 Lm: 6.666 (6.666) Lt: 5.935 (5.935) Accm: 2.82 (2.82) Acct: 4.55 (4.55) proj_loss: -0.6042 (-0.6042) time: 0.4850 data: 0.0003
[11-25 21:41:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 0/1669] eta: 0:13:29 tlr: 4e-05 tnm: 0.55 Lm: 6.445 (6.445) Lt: 5.689 (5.689) Accm: 3.69 (3.69) Acct: 5.72 (5.72) proj_loss: -0.5951 (-0.5951) time: 0.4852 data: 0.0005
[11-25 21:41:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 0/1669] eta: 0:13:30 tlr: 4e-05 tnm: 0.55 Lm: 6.479 (6.479) Lt: 5.686 (5.686) Accm: 3.48 (3.48) Acct: 5.58 (5.58) proj_loss: -0.6122 (-0.6122) time: 0.4854 data: 0.0003
[11-25 21:41:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 0/1669] eta: 0:13:30 tlr: 4e-05 tnm: 0.55 Lm: 6.594 (6.594) Lt: 5.854 (5.854) Accm: 3.32 (3.32) Acct: 5.17 (5.17) proj_loss: -0.5948 (-0.5948) time: 0.4858 data: 0.0004
[11-25 21:44:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 417/1669] eta: 0:10:17 tlr: 3.9e-05 tnm: 0.55 Lm: 6.564 (6.564) Lt: 5.828 (5.828) Accm: 3.25 (3.25) Acct: 5.10 (5.10) proj_loss: -0.5931 (-0.5931) time: 0.5383 data: 0.0003
[11-25 21:44:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 417/1669] eta: 0:10:17 tlr: 3.9e-05 tnm: 0.55 Lm: 6.557 (6.557) Lt: 5.783 (5.783) Accm: 3.46 (3.46) Acct: 5.57 (5.57) proj_loss: -0.5995 (-0.5995) time: 0.5383 data: 0.0003
[11-25 21:44:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 417/1669] eta: 0:10:17 tlr: 3.9e-05 tnm: 0.55 Lm: 6.604 (6.604) Lt: 5.861 (5.861) Accm: 2.96 (2.96) Acct: 4.72 (4.72) proj_loss: -0.6020 (-0.6020) time: 0.5383 data: 0.0003
[11-25 21:44:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 417/1669] eta: 0:10:17 tlr: 3.9e-05 tnm: 0.55 Lm: 6.497 (6.497) Lt: 5.790 (5.790) Accm: 3.52 (3.52) Acct: 5.28 (5.28) proj_loss: -0.6051 (-0.6051) time: 0.5383 data: 0.0003
[11-25 21:47:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 834/1669] eta: 0:06:51 tlr: 3.9e-05 tnm: 0.55 Lm: 6.465 (6.486) Lt: 5.715 (5.765) Accm: 3.35 (3.39) Acct: 4.84 (5.09) proj_loss: -0.6152 (-0.6093) time: 0.4878 data: 0.0003
[11-25 21:47:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 834/1669] eta: 0:06:51 tlr: 3.9e-05 tnm: 0.55 Lm: 6.635 (6.601) Lt: 5.880 (5.847) Accm: 3.44 (3.31) Acct: 5.56 (5.29) proj_loss: -0.6122 (-0.6065) time: 0.4878 data: 0.0003
[11-25 21:47:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 834/1669] eta: 0:06:51 tlr: 3.9e-05 tnm: 0.55 Lm: 6.534 (6.509) Lt: 5.802 (5.759) Accm: 3.32 (3.39) Acct: 5.17 (5.26) proj_loss: -0.5916 (-0.5926) time: 0.4878 data: 0.0003
[11-25 21:47:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [ 834/1669] eta: 0:06:51 tlr: 3.9e-05 tnm: 0.55 Lm: 6.622 (6.610) Lt: 5.932 (5.885) Accm: 3.00 (2.98) Acct: 4.82 (4.75) proj_loss: -0.6042 (-0.6132) time: 0.4878 data: 0.0003
[11-25 21:51:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1251/1669] eta: 0:03:28 tlr: 3.9e-05 tnm: 0.57 Lm: 6.630 (6.617) Lt: 5.908 (5.885) Accm: 3.06 (3.02) Acct: 4.86 (4.83) proj_loss: -0.6020 (-0.6064) time: 0.5448 data: 0.0003
[11-25 21:51:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1251/1669] eta: 0:03:28 tlr: 3.9e-05 tnm: 0.57 Lm: 6.507 (6.508) Lt: 5.758 (5.774) Accm: 3.31 (3.36) Acct: 5.19 (5.20) proj_loss: -0.6156 (-0.6110) time: 0.5448 data: 0.0003
[11-25 21:51:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1251/1669] eta: 0:03:28 tlr: 3.9e-05 tnm: 0.57 Lm: 6.512 (6.504) Lt: 5.762 (5.750) Accm: 3.34 (3.39) Acct: 5.18 (5.24) proj_loss: -0.5932 (-0.5987) time: 0.5448 data: 0.0003
[11-25 21:51:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1251/1669] eta: 0:03:28 tlr: 3.9e-05 tnm: 0.57 Lm: 6.558 (6.571) Lt: 5.791 (5.811) Accm: 3.43 (3.33) Acct: 5.46 (5.30) proj_loss: -0.6120 (-0.6078) time: 0.5448 data: 0.0003
[11-25 21:55:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-05 tnm: 0.56 Lm: 6.481 (6.528) Lt: 5.702 (5.775) Accm: 3.44 (3.45) Acct: 5.56 (5.40) proj_loss: -0.6122 (-0.6103) time: 0.4933 data: 0.0021
[11-25 21:55:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 299/350] Total time: 0:14:07 (0.508 s / it)
[11-25 21:55:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-05 tnm: 0.56 Lm: 6.549 (6.526) Lt: 5.802 (5.797) Accm: 3.28 (3.29) Acct: 4.84 (5.02) proj_loss: -0.6161 (-0.6121) time: 0.4933 data: 0.0021
[11-25 21:55:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-05 tnm: 0.56 Lm: 6.528 (6.509) Lt: 5.755 (5.751) Accm: 3.32 (3.37) Acct: 5.20 (5.27) proj_loss: -0.5948 (-0.5997) time: 0.4933 data: 0.0018
[11-25 21:55:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 299/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-05 tnm: 0.56 Lm: 6.622 (6.588) Lt: 5.884 (5.861) Accm: 3.11 (3.14) Acct: 4.89 (4.95) proj_loss: -0.6042 (-0.6074) time: 0.4933 data: 0.0013
[11-25 21:55:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 299/350] Total time: 0:14:07 (0.508 s / it)
[11-25 21:55:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 299/350] Total time: 0:14:07 (0.508 s / it)
[11-25 21:55:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 299/350] Total time: 0:14:07 (0.508 s / it)
[11-25 21:57:29] (home/user/VAR/trainer.py, line 114)=> FID: 3.2846001906739275
[11-25 21:57:30] (/home/user/VAR/train.py , line 259)=> [*] [ep299] (val 50000) Lm: 6.5424, Lt: 5.7954, Acc m&t: 3.31 5.19, Val cost: 137.93s
[11-25 21:57:30] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-25 21:58:03] (/home/user/VAR/train.py , line 276)=> [ep299] (training ) Lm: 6.532 (6.542), Lt: 5.785 (5.795), Acc m&t: 3.35 5.24, Remain: 11:30:40, Finish: 2024-11-25 17:25
[11-25 21:58:03] (/home/user/VAR/train.py , line 276)=> [ep299] (training ) Lm: 6.532 (6.542), Lt: 5.785 (5.795), Acc m&t: 3.35 5.24, Remain: 11:30:34, Finish: 2024-11-25 17:25
[11-25 21:58:03] (/home/user/VAR/train.py , line 276)=> [ep299] (training ) Lm: 6.532 (6.542), Lt: 5.785 (5.795), Acc m&t: 3.35 5.24, Remain: 11:31:01, Finish: 2024-11-25 17:26
[11-25 21:58:03] (/home/user/VAR/train.py , line 276)=> [ep299] (training ) Lm: 6.532 (6.542), Lt: 5.785 (5.795), Acc m&t: 3.35 5.24, Remain: 11:30:50, Finish: 2024-11-25 17:26
[11-25 21:58:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 0/1669] eta: 0:13:44 tlr: 3.9e-05 tnm: 0.56 Lm: 6.698 (6.698) Lt: 5.901 (5.901) Accm: 2.96 (2.96) Acct: 4.70 (4.70) proj_loss: -0.5862 (-0.5862) time: 0.4941 data: 0.0004
[11-25 21:58:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 0/1669] eta: 0:13:43 tlr: 3.9e-05 tnm: 0.56 Lm: 6.532 (6.532) Lt: 5.775 (5.775) Accm: 3.31 (3.31) Acct: 5.32 (5.32) proj_loss: -0.5916 (-0.5916) time: 0.4934 data: 0.0004
[11-25 21:58:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 0/1669] eta: 0:13:38 tlr: 3.9e-05 tnm: 0.56 Lm: 6.499 (6.499) Lt: 5.718 (5.718) Accm: 3.12 (3.12) Acct: 4.75 (4.75) proj_loss: -0.5914 (-0.5914) time: 0.4906 data: 0.0004
[11-25 21:58:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 0/1669] eta: 0:14:03 tlr: 3.9e-05 tnm: 0.56 Lm: 6.620 (6.620) Lt: 5.843 (5.843) Accm: 3.18 (3.18) Acct: 5.11 (5.11) proj_loss: -0.5932 (-0.5932) time: 0.5057 data: 0.0004
[11-25 22:01:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 417/1669] eta: 0:10:38 tlr: 3.9e-05 tnm: 0.56 Lm: 6.445 (6.445) Lt: 5.655 (5.655) Accm: 3.78 (3.78) Acct: 6.07 (6.07) proj_loss: -0.5979 (-0.5979) time: 0.5445 data: 0.0003
[11-25 22:01:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 417/1669] eta: 0:10:38 tlr: 3.9e-05 tnm: 0.56 Lm: 6.593 (6.593) Lt: 5.876 (5.876) Accm: 3.33 (3.33) Acct: 5.15 (5.15) proj_loss: -0.6018 (-0.6018) time: 0.5445 data: 0.0003
[11-25 22:01:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 417/1669] eta: 0:10:38 tlr: 3.9e-05 tnm: 0.56 Lm: 6.553 (6.553) Lt: 5.838 (5.838) Accm: 3.33 (3.33) Acct: 5.25 (5.25) proj_loss: -0.6056 (-0.6056) time: 0.5445 data: 0.0004
[11-25 22:01:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 417/1669] eta: 0:10:38 tlr: 3.9e-05 tnm: 0.56 Lm: 6.466 (6.466) Lt: 5.702 (5.702) Accm: 3.34 (3.34) Acct: 5.08 (5.08) proj_loss: -0.5858 (-0.5858) time: 0.5446 data: 0.0003
[11-25 22:05:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 834/1669] eta: 0:07:01 tlr: 3.8e-05 tnm: 0.56 Lm: 6.499 (6.508) Lt: 5.718 (5.755) Accm: 3.41 (3.37) Acct: 5.41 (5.19) proj_loss: -0.5910 (-0.5876) time: 0.4883 data: 0.0003
[11-25 22:05:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 834/1669] eta: 0:07:01 tlr: 3.8e-05 tnm: 0.56 Lm: 6.475 (6.455) Lt: 5.718 (5.676) Accm: 3.42 (3.66) Acct: 5.51 (5.88) proj_loss: -0.6026 (-0.5998) time: 0.4883 data: 0.0003
[11-25 22:05:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 834/1669] eta: 0:07:01 tlr: 3.8e-05 tnm: 0.56 Lm: 6.532 (6.543) Lt: 5.801 (5.825) Accm: 3.34 (3.42) Acct: 5.32 (5.33) proj_loss: -0.6176 (-0.6096) time: 0.4883 data: 0.0002
[11-25 22:05:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [ 834/1669] eta: 0:07:01 tlr: 3.8e-05 tnm: 0.56 Lm: 6.647 (6.611) Lt: 5.901 (5.897) Accm: 3.10 (3.25) Acct: 4.79 (5.03) proj_loss: -0.6023 (-0.6019) time: 0.4883 data: 0.0003
[11-25 22:08:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1251/1669] eta: 0:03:29 tlr: 3.8e-05 tnm: 0.55 Lm: 6.568 (6.581) Lt: 5.876 (5.859) Accm: 3.37 (3.35) Acct: 5.10 (5.12) proj_loss: -0.6098 (-0.6058) time: 0.4875 data: 0.0004
[11-25 22:08:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1251/1669] eta: 0:03:29 tlr: 3.8e-05 tnm: 0.55 Lm: 6.475 (6.494) Lt: 5.710 (5.742) Accm: 3.49 (3.45) Acct: 5.41 (5.35) proj_loss: -0.5912 (-0.5972) time: 0.4875 data: 0.0003
[11-25 22:08:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1251/1669] eta: 0:03:29 tlr: 3.8e-05 tnm: 0.55 Lm: 6.528 (6.532) Lt: 5.788 (5.810) Accm: 3.37 (3.41) Acct: 5.25 (5.26) proj_loss: -0.6089 (-0.6072) time: 0.4875 data: 0.0002
[11-25 22:08:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1251/1669] eta: 0:03:29 tlr: 3.8e-05 tnm: 0.55 Lm: 6.539 (6.492) Lt: 5.780 (5.718) Accm: 3.42 (3.60) Acct: 5.31 (5.68) proj_loss: -0.5992 (-0.5988) time: 0.4875 data: 0.0003
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1668/1669] eta: 0:00:00 tlr: 3.8e-05 tnm: 0.55 Lm: 6.569 (6.507) Lt: 5.843 (5.745) Accm: 3.42 (3.54) Acct: 5.25 (5.59) proj_loss: -0.6026 (-0.6006) time: 0.5463 data: 0.0013
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 300/350] Total time: 0:13:58 (0.502 s / it)
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1668/1669] eta: 0:00:00 tlr: 3.8e-05 tnm: 0.55 Lm: 6.613 (6.587) Lt: 5.875 (5.862) Accm: 3.10 (3.29) Acct: 4.79 (5.04) proj_loss: -0.6096 (-0.6066) time: 0.5463 data: 0.0017
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1668/1669] eta: 0:00:00 tlr: 3.8e-05 tnm: 0.55 Lm: 6.499 (6.514) Lt: 5.718 (5.764) Accm: 3.41 (3.41) Acct: 5.41 (5.30) proj_loss: -0.5914 (-0.5979) time: 0.5463 data: 0.0016
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 300/350] [1668/1669] eta: 0:00:00 tlr: 3.8e-05 tnm: 0.55 Lm: 6.523 (6.519) Lt: 5.775 (5.785) Accm: 3.39 (3.47) Acct: 5.32 (5.39) proj_loss: -0.6002 (-0.6049) time: 0.5464 data: 0.0017
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 300/350] Total time: 0:13:58 (0.502 s / it)
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 300/350] Total time: 0:13:58 (0.502 s / it)
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 300/350] Total time: 0:13:58 (0.502 s / it)
[11-25 22:12:02] (/home/user/VAR/train.py , line 276)=> [ep300] (training ) Lm: 6.532 (6.553), Lt: 5.785 (5.810), Acc m&t: 3.35 5.24, Remain: 11:21:42, Finish: 2024-11-25 17:33
[11-25 22:12:02] (/home/user/VAR/train.py , line 276)=> [ep300] (training ) Lm: 6.532 (6.553), Lt: 5.785 (5.810), Acc m&t: 3.35 5.24, Remain: 11:21:43, Finish: 2024-11-25 17:33
[11-25 22:12:02] (/home/user/VAR/train.py , line 276)=> [ep300] (training ) Lm: 6.532 (6.553), Lt: 5.785 (5.810), Acc m&t: 3.35 5.24, Remain: 11:21:48, Finish: 2024-11-25 17:33
[11-25 22:12:02] (/home/user/VAR/train.py , line 276)=> [ep300] (training ) Lm: 6.532 (6.553), Lt: 5.785 (5.810), Acc m&t: 3.35 5.24, Remain: 11:21:49, Finish: 2024-11-25 17:33
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 0/1669] eta: 0:13:13 tlr: 3.8e-05 tnm: 0.56 Lm: 6.677 (6.677) Lt: 5.902 (5.902) Accm: 2.88 (2.88) Acct: 4.56 (4.56) proj_loss: -0.5806 (-0.5806) time: 0.4756 data: 0.0004
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 0/1669] eta: 0:12:43 tlr: 3.8e-05 tnm: 0.56 Lm: 6.474 (6.474) Lt: 5.765 (5.765) Accm: 3.26 (3.26) Acct: 4.82 (4.82) proj_loss: -0.6041 (-0.6041) time: 0.4577 data: 0.0004
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 0/1669] eta: 0:12:44 tlr: 3.8e-05 tnm: 0.56 Lm: 6.582 (6.582) Lt: 5.868 (5.868) Accm: 3.43 (3.43) Acct: 5.51 (5.51) proj_loss: -0.6031 (-0.6031) time: 0.4580 data: 0.0003
[11-25 22:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 0/1669] eta: 0:12:44 tlr: 3.8e-05 tnm: 0.56 Lm: 6.476 (6.476) Lt: 5.779 (5.779) Accm: 3.20 (3.20) Acct: 4.63 (4.63) proj_loss: -0.6066 (-0.6066) time: 0.4578 data: 0.0004
[11-25 22:15:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 417/1669] eta: 0:10:52 tlr: 3.8e-05 tnm: 0.55 Lm: 6.519 (6.519) Lt: 5.800 (5.800) Accm: 3.13 (3.13) Acct: 4.73 (4.73) proj_loss: -0.5977 (-0.5977) time: 0.4918 data: 0.0003
[11-25 22:15:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 417/1669] eta: 0:10:52 tlr: 3.8e-05 tnm: 0.55 Lm: 6.630 (6.630) Lt: 5.921 (5.921) Accm: 3.18 (3.18) Acct: 5.02 (5.02) proj_loss: -0.6078 (-0.6078) time: 0.4918 data: 0.0003
[11-25 22:15:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 417/1669] eta: 0:10:52 tlr: 3.8e-05 tnm: 0.55 Lm: 6.545 (6.545) Lt: 5.822 (5.822) Accm: 3.10 (3.10) Acct: 4.71 (4.71) proj_loss: -0.6113 (-0.6113) time: 0.4918 data: 0.0003
[11-25 22:15:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 417/1669] eta: 0:10:52 tlr: 3.8e-05 tnm: 0.55 Lm: 6.667 (6.667) Lt: 5.895 (5.895) Accm: 3.03 (3.03) Acct: 4.87 (4.87) proj_loss: -0.5874 (-0.5874) time: 0.4918 data: 0.0003
[11-25 22:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 834/1669] eta: 0:07:06 tlr: 3.8e-05 tnm: 0.56 Lm: 6.657 (6.633) Lt: 5.888 (5.873) Accm: 3.18 (3.11) Acct: 5.18 (5.03) proj_loss: -0.5942 (-0.5956) time: 0.5385 data: 0.0003
[11-25 22:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 834/1669] eta: 0:07:06 tlr: 3.8e-05 tnm: 0.56 Lm: 6.553 (6.530) Lt: 5.779 (5.787) Accm: 3.20 (3.24) Acct: 4.84 (5.00) proj_loss: -0.5957 (-0.5970) time: 0.5385 data: 0.0002
[11-25 22:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 834/1669] eta: 0:07:06 tlr: 3.8e-05 tnm: 0.56 Lm: 6.582 (6.613) Lt: 5.897 (5.913) Accm: 3.42 (3.26) Acct: 5.27 (5.10) proj_loss: -0.6126 (-0.6121) time: 0.5385 data: 0.0003
[11-25 22:19:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [ 834/1669] eta: 0:07:06 tlr: 3.8e-05 tnm: 0.56 Lm: 6.474 (6.522) Lt: 5.765 (5.790) Accm: 3.26 (3.21) Acct: 4.82 (4.80) proj_loss: -0.6083 (-0.6103) time: 0.5385 data: 0.0003
[11-25 22:22:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1251/1669] eta: 0:03:35 tlr: 3.8e-05 tnm: 0.56 Lm: 6.515 (6.530) Lt: 5.801 (5.801) Accm: 3.35 (3.27) Acct: 4.91 (4.87) proj_loss: -0.6062 (-0.6068) time: 0.4871 data: 0.0003
[11-25 22:22:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1251/1669] eta: 0:03:35 tlr: 3.8e-05 tnm: 0.56 Lm: 6.514 (6.499) Lt: 5.770 (5.744) Accm: 3.33 (3.35) Acct: 5.18 (5.24) proj_loss: -0.5983 (-0.5980) time: 0.4871 data: 0.0003
[11-25 22:22:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1251/1669] eta: 0:03:35 tlr: 3.8e-05 tnm: 0.56 Lm: 6.581 (6.581) Lt: 5.882 (5.871) Accm: 3.41 (3.29) Acct: 5.29 (5.16) proj_loss: -0.6078 (-0.6039) time: 0.4871 data: 0.0003
[11-25 22:22:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1251/1669] eta: 0:03:35 tlr: 3.8e-05 tnm: 0.56 Lm: 6.611 (6.609) Lt: 5.880 (5.873) Accm: 3.20 (3.14) Acct: 5.05 (5.01) proj_loss: -0.6031 (-0.6001) time: 0.4871 data: 0.0003
[11-25 22:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.56 Lm: 6.565 (6.579) Lt: 5.871 (5.838) Accm: 3.22 (3.20) Acct: 5.18 (5.07) proj_loss: -0.6015 (-0.6004) time: 0.4919 data: 0.0021
[11-25 22:26:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 301/350] Total time: 0:14:12 (0.511 s / it)
[11-25 22:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.56 Lm: 6.474 (6.489) Lt: 5.765 (5.755) Accm: 3.43 (3.45) Acct: 4.99 (5.21) proj_loss: -0.6083 (-0.6073) time: 0.4919 data: 0.0021
[11-25 22:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.56 Lm: 6.516 (6.502) Lt: 5.779 (5.752) Accm: 3.20 (3.31) Acct: 4.87 (5.17) proj_loss: -0.5957 (-0.5971) time: 0.4919 data: 0.0020
[11-25 22:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 301/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.56 Lm: 6.582 (6.589) Lt: 5.897 (5.878) Accm: 3.39 (3.21) Acct: 5.27 (5.00) proj_loss: -0.6031 (-0.6034) time: 0.4919 data: 0.0020
[11-25 22:26:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 301/350] Total time: 0:14:12 (0.511 s / it)
[11-25 22:26:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 301/350] Total time: 0:14:12 (0.511 s / it)
[11-25 22:26:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 301/350] Total time: 0:14:12 (0.511 s / it)
[11-25 22:26:14] (/home/user/VAR/train.py , line 276)=> [ep301] (training ) Lm: 6.532 (6.547), Lt: 5.785 (5.807), Acc m&t: 3.35 5.24, Remain: 11:01:55, Finish: 2024-11-25 17:28
[11-25 22:26:14] (/home/user/VAR/train.py , line 276)=> [ep301] (training ) Lm: 6.532 (6.547), Lt: 5.785 (5.807), Acc m&t: 3.35 5.24, Remain: 11:01:51, Finish: 2024-11-25 17:28
[11-25 22:26:14] (/home/user/VAR/train.py , line 276)=> [ep301] (training ) Lm: 6.532 (6.547), Lt: 5.785 (5.807), Acc m&t: 3.35 5.24, Remain: 11:01:47, Finish: 2024-11-25 17:28
[11-25 22:26:14] (/home/user/VAR/train.py , line 276)=> [ep301] (training ) Lm: 6.532 (6.547), Lt: 5.785 (5.807), Acc m&t: 3.35 5.24, Remain: 11:01:57, Finish: 2024-11-25 17:28
[11-25 22:26:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 0/1669] eta: 0:13:13 tlr: 3.7e-05 tnm: 0.58 Lm: 6.398 (6.398) Lt: 5.638 (5.638) Accm: 3.80 (3.80) Acct: 5.96 (5.96) proj_loss: -0.6213 (-0.6213) time: 0.4752 data: 0.0003
[11-25 22:26:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 0/1669] eta: 0:13:13 tlr: 3.7e-05 tnm: 0.58 Lm: 6.791 (6.791) Lt: 6.118 (6.118) Accm: 2.51 (2.51) Acct: 3.81 (3.81) proj_loss: -0.6325 (-0.6325) time: 0.4751 data: 0.0004
[11-25 22:26:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 0/1669] eta: 0:13:13 tlr: 3.7e-05 tnm: 0.58 Lm: 6.492 (6.492) Lt: 5.696 (5.696) Accm: 3.33 (3.33) Acct: 5.46 (5.46) proj_loss: -0.6028 (-0.6028) time: 0.4753 data: 0.0004
[11-25 22:26:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 0/1669] eta: 0:13:13 tlr: 3.7e-05 tnm: 0.58 Lm: 6.449 (6.449) Lt: 5.694 (5.694) Accm: 3.71 (3.71) Acct: 5.89 (5.89) proj_loss: -0.5949 (-0.5949) time: 0.4756 data: 0.0004
[11-25 22:29:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 417/1669] eta: 0:10:17 tlr: 3.7e-05 tnm: 0.56 Lm: 6.475 (6.475) Lt: 5.718 (5.718) Accm: 3.58 (3.58) Acct: 5.79 (5.79) proj_loss: -0.5926 (-0.5926) time: 0.4892 data: 0.0003
[11-25 22:29:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 417/1669] eta: 0:10:17 tlr: 3.7e-05 tnm: 0.56 Lm: 6.667 (6.667) Lt: 5.959 (5.959) Accm: 2.94 (2.94) Acct: 4.46 (4.46) proj_loss: -0.6154 (-0.6154) time: 0.4892 data: 0.0003
[11-25 22:29:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 417/1669] eta: 0:10:17 tlr: 3.7e-05 tnm: 0.56 Lm: 6.510 (6.510) Lt: 5.752 (5.752) Accm: 3.42 (3.42) Acct: 5.39 (5.39) proj_loss: -0.6040 (-0.6040) time: 0.4892 data: 0.0003
[11-25 22:29:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 417/1669] eta: 0:10:17 tlr: 3.7e-05 tnm: 0.56 Lm: 6.457 (6.457) Lt: 5.705 (5.705) Accm: 3.50 (3.50) Acct: 5.54 (5.54) proj_loss: -0.5998 (-0.5998) time: 0.4892 data: 0.0003
[11-25 22:33:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 834/1669] eta: 0:06:55 tlr: 3.7e-05 tnm: 0.59 Lm: 6.495 (6.470) Lt: 5.773 (5.730) Accm: 3.39 (3.46) Acct: 5.17 (5.42) proj_loss: -0.5927 (-0.5975) time: 0.4913 data: 0.0003
[11-25 22:33:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 834/1669] eta: 0:06:55 tlr: 3.7e-05 tnm: 0.59 Lm: 6.527 (6.570) Lt: 5.809 (5.837) Accm: 3.33 (3.22) Acct: 5.32 (5.05) proj_loss: -0.6028 (-0.6025) time: 0.4913 data: 0.0003
[11-25 22:33:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 834/1669] eta: 0:06:55 tlr: 3.7e-05 tnm: 0.59 Lm: 6.449 (6.411) Lt: 5.694 (5.648) Accm: 3.71 (3.73) Acct: 5.89 (5.84) proj_loss: -0.5949 (-0.5938) time: 0.4913 data: 0.0003
[11-25 22:33:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [ 834/1669] eta: 0:06:55 tlr: 3.7e-05 tnm: 0.59 Lm: 6.683 (6.673) Lt: 5.995 (5.971) Accm: 2.91 (2.93) Acct: 4.56 (4.49) proj_loss: -0.6005 (-0.6104) time: 0.4913 data: 0.0003
[11-25 22:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1251/1669] eta: 0:03:30 tlr: 3.7e-05 tnm: 0.56 Lm: 6.682 (6.675) Lt: 5.988 (5.974) Accm: 2.80 (2.87) Acct: 4.42 (4.44) proj_loss: -0.6024 (-0.6089) time: 0.4925 data: 0.0003
[11-25 22:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1251/1669] eta: 0:03:30 tlr: 3.7e-05 tnm: 0.56 Lm: 6.536 (6.564) Lt: 5.828 (5.840) Accm: 3.25 (3.21) Acct: 4.96 (4.94) proj_loss: -0.6040 (-0.6050) time: 0.4925 data: 0.0003
[11-25 22:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1251/1669] eta: 0:03:30 tlr: 3.7e-05 tnm: 0.56 Lm: 6.475 (6.460) Lt: 5.718 (5.694) Accm: 3.58 (3.57) Acct: 5.79 (5.67) proj_loss: -0.5956 (-0.5992) time: 0.4925 data: 0.0003
[11-25 22:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1251/1669] eta: 0:03:30 tlr: 3.7e-05 tnm: 0.56 Lm: 6.506 (6.494) Lt: 5.777 (5.762) Accm: 3.32 (3.41) Acct: 5.15 (5.27) proj_loss: -0.6070 (-0.6068) time: 0.4925 data: 0.0003
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.58 Lm: 6.495 (6.491) Lt: 5.773 (5.756) Accm: 3.26 (3.38) Acct: 5.13 (5.22) proj_loss: -0.6039 (-0.6062) time: 0.5443 data: 0.0017
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 302/350] Total time: 0:14:10 (0.510 s / it)
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.58 Lm: 6.681 (6.627) Lt: 5.982 (5.909) Accm: 2.91 (3.07) Acct: 4.56 (4.76) proj_loss: -0.6043 (-0.6096) time: 0.5443 data: 0.0018
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.58 Lm: 6.545 (6.572) Lt: 5.848 (5.844) Accm: 3.18 (3.19) Acct: 5.11 (4.97) proj_loss: -0.6028 (-0.6039) time: 0.5443 data: 0.0017
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 302/350] [1668/1669] eta: 0:00:00 tlr: 3.7e-05 tnm: 0.58 Lm: 6.501 (6.512) Lt: 5.742 (5.752) Accm: 3.45 (3.44) Acct: 5.68 (5.44) proj_loss: -0.5962 (-0.6003) time: 0.5443 data: 0.0017
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 302/350] Total time: 0:14:10 (0.510 s / it)
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 302/350] Total time: 0:14:10 (0.510 s / it)
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 302/350] Total time: 0:14:10 (0.510 s / it)
[11-25 22:40:25] (/home/user/VAR/train.py , line 276)=> [ep302] (training ) Lm: 6.532 (6.550), Lt: 5.785 (5.806), Acc m&t: 3.35 5.24, Remain: 10:49:46, Finish: 2024-11-25 17:30
[11-25 22:40:25] (/home/user/VAR/train.py , line 276)=> [ep302] (training ) Lm: 6.532 (6.550), Lt: 5.785 (5.806), Acc m&t: 3.35 5.24, Remain: 10:49:46, Finish: 2024-11-25 17:30
[11-25 22:40:25] (/home/user/VAR/train.py , line 276)=> [ep302] (training ) Lm: 6.532 (6.550), Lt: 5.785 (5.806), Acc m&t: 3.35 5.24, Remain: 10:49:35, Finish: 2024-11-25 17:29
[11-25 22:40:25] (/home/user/VAR/train.py , line 276)=> [ep302] (training ) Lm: 6.532 (6.550), Lt: 5.785 (5.806), Acc m&t: 3.35 5.24, Remain: 10:49:47, Finish: 2024-11-25 17:30
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 0/1669] eta: 0:12:49 tlr: 3.7e-05 tnm: 0.56 Lm: 6.405 (6.405) Lt: 5.607 (5.607) Accm: 3.98 (3.98) Acct: 6.08 (6.08) proj_loss: -0.6091 (-0.6091) time: 0.4612 data: 0.0003
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 0/1669] eta: 0:12:49 tlr: 3.7e-05 tnm: 0.56 Lm: 6.540 (6.540) Lt: 5.829 (5.829) Accm: 3.56 (3.56) Acct: 5.54 (5.54) proj_loss: -0.6186 (-0.6186) time: 0.4612 data: 0.0004
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 0/1669] eta: 0:12:56 tlr: 3.7e-05 tnm: 0.56 Lm: 6.688 (6.688) Lt: 6.010 (6.010) Accm: 2.90 (2.90) Acct: 4.55 (4.55) proj_loss: -0.6110 (-0.6110) time: 0.4653 data: 0.0004
[11-25 22:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 0/1669] eta: 0:12:49 tlr: 3.7e-05 tnm: 0.56 Lm: 6.637 (6.637) Lt: 5.997 (5.997) Accm: 3.10 (3.10) Acct: 4.63 (4.63) proj_loss: -0.5966 (-0.5966) time: 0.4613 data: 0.0004
[11-25 22:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 417/1669] eta: 0:10:41 tlr: 3.6e-05 tnm: 0.55 Lm: 6.602 (6.602) Lt: 5.935 (5.935) Accm: 3.05 (3.05) Acct: 4.73 (4.73) proj_loss: -0.5979 (-0.5979) time: 0.4897 data: 0.0003
[11-25 22:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 417/1669] eta: 0:10:41 tlr: 3.6e-05 tnm: 0.55 Lm: 6.644 (6.644) Lt: 5.961 (5.961) Accm: 3.11 (3.11) Acct: 4.75 (4.75) proj_loss: -0.6149 (-0.6149) time: 0.4897 data: 0.0003
[11-25 22:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 417/1669] eta: 0:10:41 tlr: 3.6e-05 tnm: 0.55 Lm: 6.565 (6.565) Lt: 5.839 (5.839) Accm: 3.33 (3.33) Acct: 5.14 (5.14) proj_loss: -0.6188 (-0.6188) time: 0.4897 data: 0.0003
[11-25 22:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 417/1669] eta: 0:10:41 tlr: 3.6e-05 tnm: 0.55 Lm: 6.477 (6.477) Lt: 5.740 (5.740) Accm: 3.58 (3.58) Acct: 5.41 (5.41) proj_loss: -0.6103 (-0.6103) time: 0.4897 data: 0.0003
[11-25 22:47:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 834/1669] eta: 0:06:58 tlr: 3.6e-05 tnm: 0.56 Lm: 6.491 (6.482) Lt: 5.724 (5.734) Accm: 3.34 (3.50) Acct: 5.32 (5.38) proj_loss: -0.6115 (-0.6159) time: 0.4932 data: 0.0003
[11-25 22:47:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 834/1669] eta: 0:06:58 tlr: 3.6e-05 tnm: 0.56 Lm: 6.588 (6.598) Lt: 5.873 (5.887) Accm: 3.10 (3.14) Acct: 4.82 (4.83) proj_loss: -0.5991 (-0.5988) time: 0.4931 data: 0.0003
[11-25 22:47:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 834/1669] eta: 0:06:58 tlr: 3.6e-05 tnm: 0.56 Lm: 6.601 (6.605) Lt: 5.911 (5.917) Accm: 3.33 (3.21) Acct: 4.96 (4.88) proj_loss: -0.6188 (-0.6176) time: 0.4932 data: 0.0003
[11-25 22:47:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [ 834/1669] eta: 0:06:58 tlr: 3.6e-05 tnm: 0.56 Lm: 6.540 (6.537) Lt: 5.829 (5.793) Accm: 3.47 (3.38) Acct: 5.49 (5.26) proj_loss: -0.6186 (-0.6032) time: 0.4932 data: 0.0003
[11-25 22:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1251/1669] eta: 0:03:28 tlr: 3.6e-05 tnm: 0.57 Lm: 6.510 (6.510) Lt: 5.765 (5.768) Accm: 3.52 (3.43) Acct: 5.48 (5.31) proj_loss: -0.6030 (-0.5993) time: 0.4896 data: 0.0003
[11-25 22:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1251/1669] eta: 0:03:28 tlr: 3.6e-05 tnm: 0.57 Lm: 6.597 (6.602) Lt: 5.892 (5.906) Accm: 3.26 (3.20) Acct: 4.98 (4.91) proj_loss: -0.6149 (-0.6132) time: 0.4895 data: 0.0003
[11-25 22:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1251/1669] eta: 0:03:28 tlr: 3.6e-05 tnm: 0.57 Lm: 6.506 (6.492) Lt: 5.738 (5.739) Accm: 3.28 (3.43) Acct: 5.04 (5.18) proj_loss: -0.6103 (-0.6121) time: 0.4896 data: 0.0003
[11-25 22:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1251/1669] eta: 0:03:28 tlr: 3.6e-05 tnm: 0.57 Lm: 6.583 (6.593) Lt: 5.875 (5.885) Accm: 3.15 (3.15) Acct: 4.88 (4.86) proj_loss: -0.5999 (-0.6023) time: 0.4895 data: 0.0003
[11-25 22:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1668/1669] eta: 0:00:00 tlr: 3.6e-05 tnm: 0.56 Lm: 6.588 (6.612) Lt: 5.877 (5.894) Accm: 3.10 (3.08) Acct: 4.82 (4.79) proj_loss: -0.6007 (-0.6023) time: 0.4923 data: 0.0020
[11-25 22:54:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 303/350] Total time: 0:13:59 (0.503 s / it)
[11-25 22:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1668/1669] eta: 0:00:00 tlr: 3.6e-05 tnm: 0.56 Lm: 6.519 (6.512) Lt: 5.701 (5.753) Accm: 3.56 (3.48) Acct: 5.49 (5.43) proj_loss: -0.5892 (-0.5973) time: 0.4923 data: 0.0019
[11-25 22:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1668/1669] eta: 0:00:00 tlr: 3.6e-05 tnm: 0.56 Lm: 6.593 (6.579) Lt: 5.873 (5.873) Accm: 3.33 (3.27) Acct: 5.01 (5.03) proj_loss: -0.6118 (-0.6130) time: 0.4923 data: 0.0016
[11-25 22:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 303/350] [1668/1669] eta: 0:00:00 tlr: 3.6e-05 tnm: 0.56 Lm: 6.522 (6.548) Lt: 5.752 (5.805) Accm: 3.22 (3.29) Acct: 4.75 (4.99) proj_loss: -0.6115 (-0.6121) time: 0.4923 data: 0.0013
[11-25 22:54:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 303/350] Total time: 0:13:59 (0.503 s / it)
[11-25 22:54:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 303/350] Total time: 0:13:59 (0.503 s / it)
[11-25 22:54:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 303/350] Total time: 0:13:59 (0.503 s / it)
[11-25 22:54:24] (/home/user/VAR/train.py , line 276)=> [ep303] (training ) Lm: 6.532 (6.542), Lt: 5.785 (5.799), Acc m&t: 3.35 5.24, Remain: 10:37:22, Finish: 2024-11-25 17:31
[11-25 22:54:24] (/home/user/VAR/train.py , line 276)=> [ep303] (training ) Lm: 6.532 (6.542), Lt: 5.785 (5.799), Acc m&t: 3.35 5.24, Remain: 10:37:37, Finish: 2024-11-25 17:32
[11-25 22:54:24] (/home/user/VAR/train.py , line 276)=> [ep303] (training ) Lm: 6.532 (6.542), Lt: 5.785 (5.799), Acc m&t: 3.35 5.24, Remain: 10:37:32, Finish: 2024-11-25 17:31
[11-25 22:54:24] (/home/user/VAR/train.py , line 276)=> [ep303] (training ) Lm: 6.532 (6.542), Lt: 5.785 (5.799), Acc m&t: 3.35 5.24, Remain: 10:37:16, Finish: 2024-11-25 17:31
[11-25 22:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 0/1669] eta: 0:13:11 tlr: 3.6e-05 tnm: 0.58 Lm: 6.430 (6.430) Lt: 5.734 (5.734) Accm: 3.61 (3.61) Acct: 5.51 (5.51) proj_loss: -0.6208 (-0.6208) time: 0.4742 data: 0.0004
[11-25 22:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 0/1669] eta: 0:13:15 tlr: 3.6e-05 tnm: 0.58 Lm: 6.507 (6.507) Lt: 5.778 (5.778) Accm: 3.48 (3.48) Acct: 5.53 (5.53) proj_loss: -0.6043 (-0.6043) time: 0.4765 data: 0.0004
[11-25 22:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 0/1669] eta: 0:13:14 tlr: 3.6e-05 tnm: 0.58 Lm: 6.531 (6.531) Lt: 5.827 (5.827) Accm: 3.39 (3.39) Acct: 5.25 (5.25) proj_loss: -0.5788 (-0.5788) time: 0.4761 data: 0.0004
[11-25 22:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 0/1669] eta: 0:13:14 tlr: 3.6e-05 tnm: 0.58 Lm: 6.448 (6.448) Lt: 5.768 (5.768) Accm: 3.67 (3.67) Acct: 5.60 (5.60) proj_loss: -0.5941 (-0.5941) time: 0.4761 data: 0.0003
[11-25 22:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 417/1669] eta: 0:10:36 tlr: 3.6e-05 tnm: 0.57 Lm: 6.444 (6.444) Lt: 5.744 (5.744) Accm: 3.59 (3.59) Acct: 5.41 (5.41) proj_loss: -0.6128 (-0.6128) time: 0.4912 data: 0.0003
[11-25 22:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 417/1669] eta: 0:10:36 tlr: 3.6e-05 tnm: 0.57 Lm: 6.461 (6.461) Lt: 5.700 (5.700) Accm: 3.62 (3.62) Acct: 5.73 (5.73) proj_loss: -0.5854 (-0.5854) time: 0.4912 data: 0.0002
[11-25 22:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 417/1669] eta: 0:10:36 tlr: 3.6e-05 tnm: 0.57 Lm: 6.462 (6.462) Lt: 5.716 (5.716) Accm: 3.49 (3.49) Acct: 5.43 (5.43) proj_loss: -0.6065 (-0.6065) time: 0.4912 data: 0.0003
[11-25 22:57:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 417/1669] eta: 0:10:36 tlr: 3.6e-05 tnm: 0.57 Lm: 6.516 (6.516) Lt: 5.771 (5.771) Accm: 3.48 (3.48) Acct: 5.56 (5.56) proj_loss: -0.6044 (-0.6044) time: 0.4912 data: 0.0003
[11-25 23:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 834/1669] eta: 0:07:11 tlr: 3.6e-05 tnm: 0.59 Lm: 6.524 (6.530) Lt: 5.778 (5.794) Accm: 3.47 (3.46) Acct: 5.54 (5.56) proj_loss: -0.6045 (-0.6056) time: 0.4920 data: 0.0003
[11-25 23:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 834/1669] eta: 0:07:11 tlr: 3.6e-05 tnm: 0.59 Lm: 6.512 (6.478) Lt: 5.804 (5.735) Accm: 3.46 (3.56) Acct: 5.37 (5.61) proj_loss: -0.5920 (-0.5899) time: 0.4920 data: 0.0003
[11-25 23:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 834/1669] eta: 0:07:11 tlr: 3.6e-05 tnm: 0.59 Lm: 6.430 (6.439) Lt: 5.698 (5.703) Accm: 3.61 (3.55) Acct: 5.51 (5.59) proj_loss: -0.6068 (-0.6066) time: 0.4920 data: 0.0003
[11-25 23:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [ 834/1669] eta: 0:07:11 tlr: 3.6e-05 tnm: 0.59 Lm: 6.448 (6.482) Lt: 5.768 (5.769) Accm: 3.51 (3.52) Acct: 5.34 (5.38) proj_loss: -0.6168 (-0.6141) time: 0.4920 data: 0.0003
[11-25 23:05:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1251/1669] eta: 0:03:34 tlr: 3.5e-05 tnm: 0.58 Lm: 6.462 (6.481) Lt: 5.758 (5.764) Accm: 3.56 (3.54) Acct: 5.47 (5.44) proj_loss: -0.6123 (-0.6125) time: 0.5438 data: 0.0003
[11-25 23:05:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1251/1669] eta: 0:03:34 tlr: 3.5e-05 tnm: 0.58 Lm: 6.495 (6.478) Lt: 5.751 (5.726) Accm: 3.43 (3.52) Acct: 5.47 (5.60) proj_loss: -0.5955 (-0.5963) time: 0.5438 data: 0.0003
[11-25 23:05:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1251/1669] eta: 0:03:34 tlr: 3.5e-05 tnm: 0.58 Lm: 6.462 (6.497) Lt: 5.716 (5.763) Accm: 3.49 (3.49) Acct: 5.43 (5.49) proj_loss: -0.5995 (-0.6030) time: 0.5438 data: 0.0003
[11-25 23:05:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1251/1669] eta: 0:03:34 tlr: 3.5e-05 tnm: 0.58 Lm: 6.516 (6.496) Lt: 5.771 (5.750) Accm: 3.48 (3.58) Acct: 5.57 (5.69) proj_loss: -0.6047 (-0.6055) time: 0.5438 data: 0.0003
[11-25 23:08:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.57 Lm: 6.524 (6.528) Lt: 5.778 (5.788) Accm: 3.47 (3.49) Acct: 5.54 (5.53) proj_loss: -0.6045 (-0.6011) time: 0.4899 data: 0.0020
[11-25 23:08:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 304/350] Total time: 0:14:09 (0.509 s / it)
[11-25 23:08:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.57 Lm: 6.512 (6.513) Lt: 5.804 (5.774) Accm: 3.39 (3.40) Acct: 5.37 (5.42) proj_loss: -0.5974 (-0.5965) time: 0.4899 data: 0.0020
[11-25 23:08:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.57 Lm: 6.448 (6.474) Lt: 5.749 (5.742) Accm: 3.61 (3.59) Acct: 5.60 (5.52) proj_loss: -0.6084 (-0.6117) time: 0.4899 data: 0.0019
[11-25 23:08:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 304/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.57 Lm: 6.495 (6.534) Lt: 5.734 (5.796) Accm: 3.36 (3.34) Acct: 5.35 (5.24) proj_loss: -0.5921 (-0.5994) time: 0.4899 data: 0.0015
[11-25 23:08:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 304/350] Total time: 0:14:09 (0.509 s / it)
[11-25 23:08:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 304/350] Total time: 0:14:09 (0.509 s / it)
[11-25 23:08:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 304/350] Total time: 0:14:09 (0.509 s / it)
[11-25 23:08:33] (/home/user/VAR/train.py , line 276)=> [ep304] (training ) Lm: 6.532 (6.556), Lt: 5.785 (5.816), Acc m&t: 3.35 5.24, Remain: 10:18:16, Finish: 2024-11-25 17:26
[11-25 23:08:33] (/home/user/VAR/train.py , line 276)=> [ep304] (training ) Lm: 6.532 (6.556), Lt: 5.785 (5.816), Acc m&t: 3.35 5.24, Remain: 10:18:18, Finish: 2024-11-25 17:26
[11-25 23:08:33] (/home/user/VAR/train.py , line 276)=> [ep304] (training ) Lm: 6.532 (6.556), Lt: 5.785 (5.816), Acc m&t: 3.35 5.24, Remain: 10:18:25, Finish: 2024-11-25 17:26
[11-25 23:08:33] (/home/user/VAR/train.py , line 276)=> [ep304] (training ) Lm: 6.532 (6.556), Lt: 5.785 (5.816), Acc m&t: 3.35 5.24, Remain: 10:18:22, Finish: 2024-11-25 17:26
[11-25 23:08:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 0/1669] eta: 0:13:50 tlr: 3.5e-05 tnm: 0.56 Lm: 6.618 (6.618) Lt: 5.917 (5.917) Accm: 3.15 (3.15) Acct: 4.63 (4.63) proj_loss: -0.6077 (-0.6077) time: 0.4977 data: 0.0003
[11-25 23:08:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 0/1669] eta: 0:13:51 tlr: 3.5e-05 tnm: 0.56 Lm: 6.643 (6.643) Lt: 5.870 (5.870) Accm: 3.15 (3.15) Acct: 5.01 (5.01) proj_loss: -0.5818 (-0.5818) time: 0.4981 data: 0.0004
[11-25 23:08:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 0/1669] eta: 0:13:41 tlr: 3.5e-05 tnm: 0.56 Lm: 6.580 (6.580) Lt: 5.758 (5.758) Accm: 3.15 (3.15) Acct: 5.32 (5.32) proj_loss: -0.5935 (-0.5935) time: 0.4923 data: 0.0004
[11-25 23:08:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 0/1669] eta: 0:13:53 tlr: 3.5e-05 tnm: 0.56 Lm: 6.409 (6.409) Lt: 5.666 (5.666) Accm: 3.55 (3.55) Acct: 5.94 (5.94) proj_loss: -0.6261 (-0.6261) time: 0.4991 data: 0.0004
[11-25 23:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 417/1669] eta: 0:10:28 tlr: 3.5e-05 tnm: 0.56 Lm: 6.470 (6.470) Lt: 5.715 (5.715) Accm: 3.53 (3.53) Acct: 5.80 (5.80) proj_loss: -0.6168 (-0.6168) time: 0.4901 data: 0.0003
[11-25 23:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 417/1669] eta: 0:10:28 tlr: 3.5e-05 tnm: 0.56 Lm: 6.591 (6.591) Lt: 5.851 (5.851) Accm: 3.21 (3.21) Acct: 5.06 (5.06) proj_loss: -0.5847 (-0.5847) time: 0.4901 data: 0.0003
[11-25 23:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 417/1669] eta: 0:10:28 tlr: 3.5e-05 tnm: 0.56 Lm: 6.600 (6.600) Lt: 5.848 (5.848) Accm: 3.16 (3.16) Acct: 5.10 (5.10) proj_loss: -0.6028 (-0.6028) time: 0.4901 data: 0.0003
[11-25 23:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 417/1669] eta: 0:10:28 tlr: 3.5e-05 tnm: 0.56 Lm: 6.604 (6.604) Lt: 5.871 (5.871) Accm: 3.26 (3.26) Acct: 5.01 (5.01) proj_loss: -0.6018 (-0.6018) time: 0.4901 data: 0.0003
[11-25 23:15:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 834/1669] eta: 0:06:58 tlr: 3.5e-05 tnm: 0.58 Lm: 6.591 (6.556) Lt: 5.825 (5.808) Accm: 3.37 (3.42) Acct: 5.39 (5.33) proj_loss: -0.5960 (-0.5925) time: 0.5455 data: 0.0003
[11-25 23:15:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 834/1669] eta: 0:06:58 tlr: 3.5e-05 tnm: 0.58 Lm: 6.531 (6.516) Lt: 5.764 (5.763) Accm: 3.51 (3.45) Acct: 5.66 (5.58) proj_loss: -0.6075 (-0.6122) time: 0.5455 data: 0.0003
[11-25 23:15:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 834/1669] eta: 0:06:58 tlr: 3.5e-05 tnm: 0.58 Lm: 6.607 (6.602) Lt: 5.854 (5.850) Accm: 3.15 (3.07) Acct: 4.87 (4.94) proj_loss: -0.5935 (-0.5985) time: 0.5455 data: 0.0003
[11-25 23:15:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [ 834/1669] eta: 0:06:58 tlr: 3.5e-05 tnm: 0.58 Lm: 6.605 (6.596) Lt: 5.832 (5.831) Accm: 3.26 (3.25) Acct: 5.11 (5.23) proj_loss: -0.5877 (-0.5879) time: 0.5455 data: 0.0003
[11-25 23:19:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1251/1669] eta: 0:03:33 tlr: 3.5e-05 tnm: 0.57 Lm: 6.572 (6.572) Lt: 5.812 (5.814) Accm: 3.29 (3.27) Acct: 5.14 (5.21) proj_loss: -0.5909 (-0.5952) time: 0.5425 data: 0.0003
[11-25 23:19:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1251/1669] eta: 0:03:33 tlr: 3.5e-05 tnm: 0.57 Lm: 6.470 (6.455) Lt: 5.715 (5.704) Accm: 3.53 (3.58) Acct: 5.71 (5.63) proj_loss: -0.6099 (-0.6122) time: 0.5425 data: 0.0003
[11-25 23:19:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1251/1669] eta: 0:03:33 tlr: 3.5e-05 tnm: 0.57 Lm: 6.593 (6.590) Lt: 5.824 (5.836) Accm: 3.16 (3.11) Acct: 5.10 (5.05) proj_loss: -0.6003 (-0.6007) time: 0.5425 data: 0.0003
[11-25 23:19:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1251/1669] eta: 0:03:33 tlr: 3.5e-05 tnm: 0.57 Lm: 6.525 (6.512) Lt: 5.753 (5.755) Accm: 3.48 (3.46) Acct: 5.43 (5.36) proj_loss: -0.6005 (-0.5956) time: 0.5425 data: 0.0003
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.57 Lm: 6.591 (6.536) Lt: 5.825 (5.784) Accm: 3.37 (3.43) Acct: 5.39 (5.34) proj_loss: -0.6050 (-0.5987) time: 0.5426 data: 0.0016
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 305/350] Total time: 0:14:12 (0.511 s / it)
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.57 Lm: 6.607 (6.601) Lt: 5.854 (5.864) Accm: 3.15 (3.07) Acct: 4.87 (4.94) proj_loss: -0.6023 (-0.6010) time: 0.5426 data: 0.0017
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.57 Lm: 6.605 (6.588) Lt: 5.832 (5.830) Accm: 3.26 (3.21) Acct: 5.11 (5.08) proj_loss: -0.5886 (-0.5938) time: 0.5426 data: 0.0017
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 305/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.57 Lm: 6.531 (6.497) Lt: 5.764 (5.755) Accm: 3.51 (3.45) Acct: 5.66 (5.43) proj_loss: -0.6075 (-0.6105) time: 0.5426 data: 0.0017
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 305/350] Total time: 0:14:12 (0.511 s / it)
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 305/350] Total time: 0:14:12 (0.511 s / it)
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 305/350] Total time: 0:14:12 (0.511 s / it)
[11-25 23:22:46] (/home/user/VAR/train.py , line 276)=> [ep305] (training ) Lm: 6.532 (6.544), Lt: 5.785 (5.799), Acc m&t: 3.35 5.24, Remain: 10:08:05, Finish: 2024-11-25 17:30
[11-25 23:22:46] (/home/user/VAR/train.py , line 276)=> [ep305] (training ) Lm: 6.532 (6.544), Lt: 5.785 (5.799), Acc m&t: 3.35 5.24, Remain: 10:08:06, Finish: 2024-11-25 17:30
[11-25 23:22:46] (/home/user/VAR/train.py , line 276)=> [ep305] (training ) Lm: 6.532 (6.544), Lt: 5.785 (5.799), Acc m&t: 3.35 5.24, Remain: 10:08:03, Finish: 2024-11-25 17:30
[11-25 23:22:46] (/home/user/VAR/train.py , line 276)=> [ep305] (training ) Lm: 6.532 (6.544), Lt: 5.785 (5.799), Acc m&t: 3.35 5.24, Remain: 10:08:05, Finish: 2024-11-25 17:30
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 0/1669] eta: 0:12:53 tlr: 3.4e-05 tnm: 0.57 Lm: 6.520 (6.520) Lt: 5.784 (5.784) Accm: 3.39 (3.39) Acct: 5.18 (5.18) proj_loss: -0.6329 (-0.6329) time: 0.4633 data: 0.0003
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 0/1669] eta: 0:12:53 tlr: 3.4e-05 tnm: 0.57 Lm: 6.315 (6.315) Lt: 5.490 (5.490) Accm: 3.87 (3.87) Acct: 6.20 (6.20) proj_loss: -0.6033 (-0.6033) time: 0.4636 data: 0.0003
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 0/1669] eta: 0:13:00 tlr: 3.4e-05 tnm: 0.57 Lm: 6.566 (6.566) Lt: 5.851 (5.851) Accm: 3.20 (3.20) Acct: 5.04 (5.04) proj_loss: -0.6135 (-0.6135) time: 0.4679 data: 0.0003
[11-25 23:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 0/1669] eta: 0:12:53 tlr: 3.4e-05 tnm: 0.57 Lm: 6.362 (6.362) Lt: 5.682 (5.682) Accm: 3.41 (3.41) Acct: 5.03 (5.03) proj_loss: -0.6139 (-0.6139) time: 0.4637 data: 0.0004
[11-25 23:26:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 417/1669] eta: 0:10:36 tlr: 3.4e-05 tnm: 0.57 Lm: 6.442 (6.442) Lt: 5.724 (5.724) Accm: 3.32 (3.32) Acct: 5.07 (5.07) proj_loss: -0.6102 (-0.6102) time: 0.4903 data: 0.0003
[11-25 23:26:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 417/1669] eta: 0:10:36 tlr: 3.4e-05 tnm: 0.57 Lm: 6.484 (6.484) Lt: 5.734 (5.734) Accm: 3.45 (3.45) Acct: 5.28 (5.28) proj_loss: -0.6144 (-0.6144) time: 0.4903 data: 0.0003
[11-25 23:26:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 417/1669] eta: 0:10:36 tlr: 3.4e-05 tnm: 0.57 Lm: 6.488 (6.488) Lt: 5.783 (5.783) Accm: 3.43 (3.43) Acct: 5.36 (5.36) proj_loss: -0.6092 (-0.6092) time: 0.4903 data: 0.0003
[11-25 23:26:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 417/1669] eta: 0:10:36 tlr: 3.4e-05 tnm: 0.57 Lm: 6.369 (6.369) Lt: 5.558 (5.558) Accm: 3.53 (3.53) Acct: 5.63 (5.63) proj_loss: -0.6041 (-0.6041) time: 0.4903 data: 0.0003
[11-25 23:29:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 834/1669] eta: 0:06:56 tlr: 3.4e-05 tnm: 0.58 Lm: 6.423 (6.416) Lt: 5.627 (5.635) Accm: 3.43 (3.50) Acct: 5.20 (5.49) proj_loss: -0.6050 (-0.6127) time: 0.4909 data: 0.0003
[11-25 23:29:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 834/1669] eta: 0:06:56 tlr: 3.4e-05 tnm: 0.58 Lm: 6.410 (6.460) Lt: 5.715 (5.735) Accm: 3.67 (3.54) Acct: 5.68 (5.61) proj_loss: -0.6049 (-0.6060) time: 0.4909 data: 0.0003
[11-25 23:29:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 834/1669] eta: 0:06:56 tlr: 3.4e-05 tnm: 0.58 Lm: 6.465 (6.478) Lt: 5.697 (5.722) Accm: 3.44 (3.44) Acct: 5.37 (5.37) proj_loss: -0.6153 (-0.6147) time: 0.4909 data: 0.0003
[11-25 23:29:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [ 834/1669] eta: 0:06:56 tlr: 3.4e-05 tnm: 0.58 Lm: 6.440 (6.441) Lt: 5.682 (5.698) Accm: 3.41 (3.42) Acct: 5.11 (5.31) proj_loss: -0.6065 (-0.6059) time: 0.4909 data: 0.0003
[11-25 23:33:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1251/1669] eta: 0:03:28 tlr: 3.4e-05 tnm: 0.58 Lm: 6.481 (6.478) Lt: 5.724 (5.736) Accm: 3.32 (3.36) Acct: 5.09 (5.25) proj_loss: -0.6020 (-0.6037) time: 0.5446 data: 0.0003
[11-25 23:33:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1251/1669] eta: 0:03:28 tlr: 3.4e-05 tnm: 0.58 Lm: 6.467 (6.471) Lt: 5.708 (5.700) Accm: 3.31 (3.34) Acct: 5.13 (5.30) proj_loss: -0.6049 (-0.6107) time: 0.5446 data: 0.0003
[11-25 23:33:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1251/1669] eta: 0:03:28 tlr: 3.4e-05 tnm: 0.58 Lm: 6.488 (6.491) Lt: 5.783 (5.766) Accm: 3.50 (3.49) Acct: 5.49 (5.53) proj_loss: -0.6083 (-0.6074) time: 0.5446 data: 0.0003
[11-25 23:33:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1251/1669] eta: 0:03:28 tlr: 3.4e-05 tnm: 0.58 Lm: 6.492 (6.502) Lt: 5.741 (5.745) Accm: 3.42 (3.37) Acct: 5.28 (5.27) proj_loss: -0.6056 (-0.6055) time: 0.5446 data: 0.0003
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.59 Lm: 6.465 (6.474) Lt: 5.697 (5.722) Accm: 3.44 (3.44) Acct: 5.37 (5.37) proj_loss: -0.5978 (-0.6040) time: 0.5463 data: 0.0018
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 306/350] Total time: 0:14:02 (0.505 s / it)
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.59 Lm: 6.529 (6.499) Lt: 5.771 (5.767) Accm: 3.41 (3.47) Acct: 5.34 (5.49) proj_loss: -0.6116 (-0.6082) time: 0.5463 data: 0.0020
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.59 Lm: 6.457 (6.468) Lt: 5.746 (5.709) Accm: 3.43 (3.41) Acct: 5.20 (5.37) proj_loss: -0.6049 (-0.6058) time: 0.5463 data: 0.0017
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 306/350] [1668/1669] eta: 0:00:00 tlr: 3.4e-05 tnm: 0.59 Lm: 6.440 (6.461) Lt: 5.682 (5.713) Accm: 3.41 (3.46) Acct: 5.11 (5.43) proj_loss: -0.6065 (-0.6044) time: 0.5463 data: 0.0017
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 306/350] Total time: 0:14:02 (0.505 s / it)
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 306/350] Total time: 0:14:02 (0.505 s / it)
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 306/350] Total time: 0:14:02 (0.505 s / it)
[11-25 23:36:49] (/home/user/VAR/train.py , line 276)=> [ep306] (training ) Lm: 6.532 (6.538), Lt: 5.785 (5.800), Acc m&t: 3.35 5.24, Remain: 9:53:28, Finish: 2024-11-25 17:30
[11-25 23:36:49] (/home/user/VAR/train.py , line 276)=> [ep306] (training ) Lm: 6.532 (6.538), Lt: 5.785 (5.800), Acc m&t: 3.35 5.24, Remain: 9:53:38, Finish: 2024-11-25 17:30
[11-25 23:36:49] (/home/user/VAR/train.py , line 276)=> [ep306] (training ) Lm: 6.532 (6.538), Lt: 5.785 (5.800), Acc m&t: 3.35 5.24, Remain: 9:53:37, Finish: 2024-11-25 17:30
[11-25 23:36:49] (/home/user/VAR/train.py , line 276)=> [ep306] (training ) Lm: 6.532 (6.538), Lt: 5.785 (5.800), Acc m&t: 3.35 5.24, Remain: 9:53:49, Finish: 2024-11-25 17:30
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 0/1669] eta: 0:13:32 tlr: 3.4e-05 tnm: 0.56 Lm: 6.575 (6.575) Lt: 5.864 (5.864) Accm: 3.37 (3.37) Acct: 5.06 (5.06) proj_loss: -0.5781 (-0.5781) time: 0.4866 data: 0.0004
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 0/1669] eta: 0:13:36 tlr: 3.4e-05 tnm: 0.56 Lm: 6.594 (6.594) Lt: 5.863 (5.863) Accm: 3.08 (3.08) Acct: 5.23 (5.23) proj_loss: -0.6253 (-0.6253) time: 0.4895 data: 0.0004
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 0/1669] eta: 0:13:32 tlr: 3.4e-05 tnm: 0.56 Lm: 6.576 (6.576) Lt: 5.828 (5.828) Accm: 3.49 (3.49) Acct: 5.58 (5.58) proj_loss: -0.6140 (-0.6140) time: 0.4868 data: 0.0004
[11-25 23:36:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 0/1669] eta: 0:13:38 tlr: 3.4e-05 tnm: 0.56 Lm: 6.597 (6.597) Lt: 5.858 (5.858) Accm: 2.94 (2.94) Acct: 4.61 (4.61) proj_loss: -0.6236 (-0.6236) time: 0.4905 data: 0.0003
[11-25 23:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 417/1669] eta: 0:10:32 tlr: 3.4e-05 tnm: 0.57 Lm: 6.582 (6.582) Lt: 5.843 (5.843) Accm: 3.07 (3.07) Acct: 4.73 (4.73) proj_loss: -0.6185 (-0.6185) time: 0.5402 data: 0.0003
[11-25 23:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 417/1669] eta: 0:10:32 tlr: 3.4e-05 tnm: 0.57 Lm: 6.635 (6.635) Lt: 5.956 (5.956) Accm: 3.17 (3.17) Acct: 4.88 (4.88) proj_loss: -0.5964 (-0.5964) time: 0.5402 data: 0.0002
[11-25 23:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 417/1669] eta: 0:10:32 tlr: 3.4e-05 tnm: 0.57 Lm: 6.538 (6.538) Lt: 5.759 (5.759) Accm: 3.35 (3.35) Acct: 5.45 (5.45) proj_loss: -0.6048 (-0.6048) time: 0.5402 data: 0.0003
[11-25 23:40:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 417/1669] eta: 0:10:32 tlr: 3.4e-05 tnm: 0.57 Lm: 6.504 (6.504) Lt: 5.779 (5.779) Accm: 3.41 (3.41) Acct: 5.36 (5.36) proj_loss: -0.6179 (-0.6179) time: 0.5402 data: 0.0003
[11-25 23:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 834/1669] eta: 0:07:09 tlr: 3.3e-05 tnm: 0.59 Lm: 6.521 (6.510) Lt: 5.715 (5.758) Accm: 3.33 (3.38) Acct: 5.49 (5.41) proj_loss: -0.6106 (-0.6036) time: 0.4925 data: 0.0003
[11-25 23:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 834/1669] eta: 0:07:09 tlr: 3.3e-05 tnm: 0.59 Lm: 6.568 (6.556) Lt: 5.828 (5.815) Accm: 3.21 (3.18) Acct: 4.84 (4.96) proj_loss: -0.6135 (-0.6142) time: 0.4925 data: 0.0003
[11-25 23:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 834/1669] eta: 0:07:09 tlr: 3.3e-05 tnm: 0.59 Lm: 6.501 (6.522) Lt: 5.690 (5.730) Accm: 3.47 (3.39) Acct: 5.58 (5.56) proj_loss: -0.6140 (-0.6091) time: 0.4925 data: 0.0003
[11-25 23:43:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [ 834/1669] eta: 0:07:09 tlr: 3.3e-05 tnm: 0.59 Lm: 6.578 (6.616) Lt: 5.864 (5.917) Accm: 2.97 (3.10) Acct: 4.73 (4.83) proj_loss: -0.5917 (-0.5948) time: 0.4925 data: 0.0003
[11-25 23:47:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1251/1669] eta: 0:03:32 tlr: 3.3e-05 tnm: 0.59 Lm: 6.636 (6.650) Lt: 5.936 (5.940) Accm: 2.96 (2.99) Acct: 4.72 (4.75) proj_loss: -0.6032 (-0.6007) time: 0.4894 data: 0.0003
[11-25 23:47:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1251/1669] eta: 0:03:32 tlr: 3.3e-05 tnm: 0.59 Lm: 6.558 (6.548) Lt: 5.789 (5.808) Accm: 3.21 (3.23) Acct: 5.36 (5.11) proj_loss: -0.6171 (-0.6086) time: 0.4894 data: 0.0003
[11-25 23:47:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1251/1669] eta: 0:03:32 tlr: 3.3e-05 tnm: 0.59 Lm: 6.514 (6.523) Lt: 5.687 (5.718) Accm: 3.36 (3.35) Acct: 5.45 (5.48) proj_loss: -0.6048 (-0.6032) time: 0.4894 data: 0.0003
[11-25 23:47:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1251/1669] eta: 0:03:32 tlr: 3.3e-05 tnm: 0.59 Lm: 6.571 (6.561) Lt: 5.819 (5.813) Accm: 3.31 (3.24) Acct: 5.14 (5.13) proj_loss: -0.6095 (-0.6073) time: 0.4894 data: 0.0003
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1668/1669] eta: 0:00:00 tlr: 3.3e-05 tnm: 0.58 Lm: 6.574 (6.580) Lt: 5.828 (5.838) Accm: 3.21 (3.17) Acct: 4.84 (5.01) proj_loss: -0.6055 (-0.6047) time: 0.4933 data: 0.0015
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 307/350] Total time: 0:14:05 (0.506 s / it)
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1668/1669] eta: 0:00:00 tlr: 3.3e-05 tnm: 0.58 Lm: 6.501 (6.512) Lt: 5.690 (5.729) Accm: 3.47 (3.45) Acct: 5.58 (5.52) proj_loss: -0.5956 (-0.5981) time: 0.4932 data: 0.0016
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1668/1669] eta: 0:00:00 tlr: 3.3e-05 tnm: 0.58 Lm: 6.559 (6.550) Lt: 5.805 (5.807) Accm: 3.26 (3.24) Acct: 5.23 (5.12) proj_loss: -0.6106 (-0.6074) time: 0.4933 data: 0.0016
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 307/350] [1668/1669] eta: 0:00:00 tlr: 3.3e-05 tnm: 0.58 Lm: 6.578 (6.617) Lt: 5.864 (5.895) Accm: 2.97 (3.11) Acct: 4.73 (4.93) proj_loss: -0.5917 (-0.5977) time: 0.4933 data: 0.0019
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 307/350] Total time: 0:14:05 (0.506 s / it)
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 307/350] Total time: 0:14:05 (0.506 s / it)
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 307/350] Total time: 0:14:05 (0.506 s / it)
[11-25 23:50:54] (/home/user/VAR/train.py , line 276)=> [ep307] (training ) Lm: 6.531 (6.531), Lt: 5.785 (5.787), Acc m&t: 3.35 5.25, Remain: 9:40:44, Finish: 2024-11-25 17:31
[11-25 23:50:54] (/home/user/VAR/train.py , line 276)=> [ep307] (training ) Lm: 6.531 (6.531), Lt: 5.785 (5.787), Acc m&t: 3.35 5.25, Remain: 9:40:50, Finish: 2024-11-25 17:31
[11-25 23:50:54] (/home/user/VAR/train.py , line 276)=> [ep307] (training ) Lm: 6.531 (6.531), Lt: 5.785 (5.787), Acc m&t: 3.35 5.25, Remain: 9:40:53, Finish: 2024-11-25 17:31
[11-25 23:50:54] (/home/user/VAR/train.py , line 276)=> [ep307] (training ) Lm: 6.531 (6.531), Lt: 5.785 (5.787), Acc m&t: 3.35 5.25, Remain: 9:40:52, Finish: 2024-11-25 17:31
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 0/1669] eta: 0:13:01 tlr: 3.3e-05 tnm: 0.58 Lm: 6.617 (6.617) Lt: 5.844 (5.844) Accm: 3.27 (3.27) Acct: 5.13 (5.13) proj_loss: -0.6034 (-0.6034) time: 0.4681 data: 0.0003
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 0/1669] eta: 0:12:59 tlr: 3.3e-05 tnm: 0.58 Lm: 6.647 (6.647) Lt: 5.967 (5.967) Accm: 2.83 (2.83) Acct: 4.51 (4.51) proj_loss: -0.6115 (-0.6115) time: 0.4670 data: 0.0004
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 0/1669] eta: 0:12:59 tlr: 3.3e-05 tnm: 0.58 Lm: 6.494 (6.494) Lt: 5.768 (5.768) Accm: 3.42 (3.42) Acct: 5.23 (5.23) proj_loss: -0.5891 (-0.5891) time: 0.4670 data: 0.0003
[11-25 23:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 0/1669] eta: 0:12:58 tlr: 3.3e-05 tnm: 0.58 Lm: 6.522 (6.522) Lt: 5.774 (5.774) Accm: 3.30 (3.30) Acct: 5.22 (5.22) proj_loss: -0.5954 (-0.5954) time: 0.4665 data: 0.0004
[11-25 23:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 417/1669] eta: 0:10:30 tlr: 3.3e-05 tnm: 0.57 Lm: 6.426 (6.426) Lt: 5.673 (5.673) Accm: 3.69 (3.69) Acct: 5.68 (5.68) proj_loss: -0.5938 (-0.5938) time: 0.4923 data: 0.0003
[11-25 23:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 417/1669] eta: 0:10:30 tlr: 3.3e-05 tnm: 0.57 Lm: 6.583 (6.583) Lt: 5.856 (5.856) Accm: 3.07 (3.07) Acct: 4.86 (4.86) proj_loss: -0.6056 (-0.6056) time: 0.4923 data: 0.0003
[11-25 23:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 417/1669] eta: 0:10:30 tlr: 3.3e-05 tnm: 0.57 Lm: 6.605 (6.605) Lt: 5.892 (5.892) Accm: 3.13 (3.13) Acct: 4.92 (4.92) proj_loss: -0.5859 (-0.5859) time: 0.4923 data: 0.0003
[11-25 23:54:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 417/1669] eta: 0:10:30 tlr: 3.3e-05 tnm: 0.57 Lm: 6.667 (6.667) Lt: 5.921 (5.921) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: -0.5982 (-0.5982) time: 0.4923 data: 0.0003
[11-25 23:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 834/1669] eta: 0:07:02 tlr: 3.3e-05 tnm: 0.59 Lm: 6.617 (6.640) Lt: 5.897 (5.913) Accm: 2.92 (3.00) Acct: 4.46 (4.67) proj_loss: -0.6034 (-0.6021) time: 0.5410 data: 0.0003
[11-25 23:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 834/1669] eta: 0:07:02 tlr: 3.3e-05 tnm: 0.59 Lm: 6.518 (6.531) Lt: 5.744 (5.804) Accm: 3.30 (3.32) Acct: 5.22 (5.22) proj_loss: -0.6115 (-0.6110) time: 0.5410 data: 0.0003
[11-25 23:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 834/1669] eta: 0:07:02 tlr: 3.3e-05 tnm: 0.59 Lm: 6.605 (6.605) Lt: 5.900 (5.895) Accm: 3.04 (3.10) Acct: 4.94 (4.92) proj_loss: -0.5891 (-0.5955) time: 0.5410 data: 0.0003
[11-25 23:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [ 834/1669] eta: 0:07:02 tlr: 3.3e-05 tnm: 0.59 Lm: 6.522 (6.460) Lt: 5.774 (5.728) Accm: 3.31 (3.56) Acct: 5.22 (5.48) proj_loss: -0.5954 (-0.6029) time: 0.5410 data: 0.0003
[11-26 00:01:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1251/1669] eta: 0:03:34 tlr: 3.2e-05 tnm: 0.58 Lm: 6.465 (6.447) Lt: 5.728 (5.716) Accm: 3.54 (3.61) Acct: 5.40 (5.51) proj_loss: -0.6026 (-0.6047) time: 0.4895 data: 0.0003
[11-26 00:01:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1251/1669] eta: 0:03:34 tlr: 3.2e-05 tnm: 0.58 Lm: 6.595 (6.600) Lt: 5.901 (5.896) Accm: 3.10 (3.11) Acct: 4.77 (4.79) proj_loss: -0.6017 (-0.6002) time: 0.4895 data: 0.0003
[11-26 00:01:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1251/1669] eta: 0:03:34 tlr: 3.2e-05 tnm: 0.58 Lm: 6.474 (6.502) Lt: 5.722 (5.766) Accm: 3.45 (3.39) Acct: 5.58 (5.40) proj_loss: -0.6166 (-0.6138) time: 0.4895 data: 0.0003
[11-26 00:01:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1251/1669] eta: 0:03:34 tlr: 3.2e-05 tnm: 0.58 Lm: 6.625 (6.638) Lt: 5.893 (5.907) Accm: 3.10 (3.07) Acct: 4.80 (4.81) proj_loss: -0.6038 (-0.6026) time: 0.4895 data: 0.0003
[11-26 00:05:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.57 Lm: 6.617 (6.626) Lt: 5.889 (5.893) Accm: 3.27 (3.11) Acct: 5.10 (4.87) proj_loss: -0.6034 (-0.5994) time: 0.5908 data: 0.0018
[11-26 00:05:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 308/350] Total time: 0:14:16 (0.513 s / it)
[11-26 00:05:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.57 Lm: 6.506 (6.503) Lt: 5.744 (5.771) Accm: 3.33 (3.38) Acct: 5.22 (5.32) proj_loss: -0.6115 (-0.6122) time: 0.5908 data: 0.0019
[11-26 00:05:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.57 Lm: 6.522 (6.473) Lt: 5.774 (5.739) Accm: 3.31 (3.53) Acct: 5.22 (5.38) proj_loss: -0.6068 (-0.6051) time: 0.5908 data: 0.0021
[11-26 00:05:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 308/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.57 Lm: 6.605 (6.603) Lt: 5.900 (5.891) Accm: 3.05 (3.10) Acct: 4.82 (4.79) proj_loss: -0.5897 (-0.5981) time: 0.5908 data: 0.0017
[11-26 00:05:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 308/350] Total time: 0:14:16 (0.513 s / it)
[11-26 00:05:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 308/350] Total time: 0:14:16 (0.513 s / it)
[11-26 00:05:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 308/350] Total time: 0:14:16 (0.513 s / it)
[11-26 00:05:10] (/home/user/VAR/train.py , line 276)=> [ep308] (training ) Lm: 6.531 (6.542), Lt: 5.785 (5.802), Acc m&t: 3.35 5.25, Remain: 9:27:00, Finish: 2024-11-25 17:32
[11-26 00:05:10] (/home/user/VAR/train.py , line 276)=> [ep308] (training ) Lm: 6.531 (6.542), Lt: 5.785 (5.802), Acc m&t: 3.35 5.25, Remain: 9:27:16, Finish: 2024-11-25 17:32
[11-26 00:05:10] (/home/user/VAR/train.py , line 276)=> [ep308] (training ) Lm: 6.531 (6.542), Lt: 5.785 (5.802), Acc m&t: 3.35 5.25, Remain: 9:27:07, Finish: 2024-11-25 17:32
[11-26 00:05:10] (/home/user/VAR/train.py , line 276)=> [ep308] (training ) Lm: 6.531 (6.542), Lt: 5.785 (5.802), Acc m&t: 3.35 5.25, Remain: 9:27:00, Finish: 2024-11-25 17:32
[11-26 00:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 0/1669] eta: 0:13:54 tlr: 3.2e-05 tnm: 0.59 Lm: 6.407 (6.407) Lt: 5.636 (5.636) Accm: 3.86 (3.86) Acct: 5.82 (5.82) proj_loss: -0.6141 (-0.6141) time: 0.5000 data: 0.0004
[11-26 00:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 0/1669] eta: 0:13:55 tlr: 3.2e-05 tnm: 0.59 Lm: 6.411 (6.411) Lt: 5.667 (5.667) Accm: 3.65 (3.65) Acct: 5.80 (5.80) proj_loss: -0.6127 (-0.6127) time: 0.5003 data: 0.0004
[11-26 00:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 0/1669] eta: 0:13:55 tlr: 3.2e-05 tnm: 0.59 Lm: 6.581 (6.581) Lt: 5.859 (5.859) Accm: 3.08 (3.08) Acct: 4.96 (4.96) proj_loss: -0.6095 (-0.6095) time: 0.5003 data: 0.0004
[11-26 00:05:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 0/1669] eta: 0:13:55 tlr: 3.2e-05 tnm: 0.59 Lm: 6.537 (6.537) Lt: 5.772 (5.772) Accm: 3.39 (3.39) Acct: 5.41 (5.41) proj_loss: -0.5815 (-0.5815) time: 0.5006 data: 0.0004
[11-26 00:08:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 417/1669] eta: 0:10:23 tlr: 3.2e-05 tnm: 0.60 Lm: 6.564 (6.564) Lt: 5.809 (5.809) Accm: 3.32 (3.32) Acct: 5.29 (5.29) proj_loss: -0.5909 (-0.5909) time: 0.4893 data: 0.0003
[11-26 00:08:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 417/1669] eta: 0:10:23 tlr: 3.2e-05 tnm: 0.60 Lm: 6.508 (6.508) Lt: 5.761 (5.761) Accm: 3.32 (3.32) Acct: 5.48 (5.48) proj_loss: -0.6044 (-0.6044) time: 0.4893 data: 0.0003
[11-26 00:08:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 417/1669] eta: 0:10:23 tlr: 3.2e-05 tnm: 0.60 Lm: 6.446 (6.446) Lt: 5.707 (5.707) Accm: 3.52 (3.52) Acct: 5.40 (5.40) proj_loss: -0.6035 (-0.6035) time: 0.4893 data: 0.0003
[11-26 00:08:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 417/1669] eta: 0:10:23 tlr: 3.2e-05 tnm: 0.60 Lm: 6.443 (6.443) Lt: 5.677 (5.677) Accm: 3.71 (3.71) Acct: 5.60 (5.60) proj_loss: -0.6071 (-0.6071) time: 0.4893 data: 0.0003
[11-26 00:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 834/1669] eta: 0:06:52 tlr: 3.2e-05 tnm: 0.59 Lm: 6.479 (6.526) Lt: 5.718 (5.785) Accm: 3.56 (3.43) Acct: 5.39 (5.13) proj_loss: -0.6001 (-0.6023) time: 0.4910 data: 0.0003
[11-26 00:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 834/1669] eta: 0:06:52 tlr: 3.2e-05 tnm: 0.59 Lm: 6.481 (6.546) Lt: 5.747 (5.817) Accm: 3.39 (3.20) Acct: 4.99 (4.96) proj_loss: -0.6028 (-0.6033) time: 0.4910 data: 0.0003
[11-26 00:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 834/1669] eta: 0:06:52 tlr: 3.2e-05 tnm: 0.59 Lm: 6.537 (6.517) Lt: 5.772 (5.776) Accm: 3.39 (3.46) Acct: 5.41 (5.48) proj_loss: -0.6003 (-0.6020) time: 0.4910 data: 0.0003
[11-26 00:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [ 834/1669] eta: 0:06:52 tlr: 3.2e-05 tnm: 0.59 Lm: 6.581 (6.567) Lt: 5.859 (5.860) Accm: 3.08 (3.11) Acct: 4.96 (5.06) proj_loss: -0.6095 (-0.6076) time: 0.4910 data: 0.0003
[11-26 00:15:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1251/1669] eta: 0:03:28 tlr: 3.2e-05 tnm: 0.58 Lm: 6.525 (6.543) Lt: 5.786 (5.823) Accm: 3.32 (3.24) Acct: 5.38 (5.24) proj_loss: -0.6117 (-0.6101) time: 0.4891 data: 0.0003
[11-26 00:15:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1251/1669] eta: 0:03:28 tlr: 3.2e-05 tnm: 0.58 Lm: 6.585 (6.582) Lt: 5.880 (5.866) Accm: 3.05 (3.08) Acct: 4.68 (4.81) proj_loss: -0.6069 (-0.6052) time: 0.4891 data: 0.0003
[11-26 00:15:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1251/1669] eta: 0:03:28 tlr: 3.2e-05 tnm: 0.58 Lm: 6.443 (6.465) Lt: 5.677 (5.703) Accm: 3.71 (3.55) Acct: 5.60 (5.36) proj_loss: -0.6007 (-0.6020) time: 0.4891 data: 0.0003
[11-26 00:15:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1251/1669] eta: 0:03:28 tlr: 3.2e-05 tnm: 0.58 Lm: 6.487 (6.497) Lt: 5.742 (5.749) Accm: 3.51 (3.50) Acct: 5.48 (5.50) proj_loss: -0.6059 (-0.6044) time: 0.4891 data: 0.0003
[11-26 00:19:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.59 Lm: 6.477 (6.493) Lt: 5.711 (5.739) Accm: 3.61 (3.52) Acct: 5.56 (5.56) proj_loss: -0.6115 (-0.6080) time: 0.4944 data: 0.0020
[11-26 00:19:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 309/350] Total time: 0:14:03 (0.505 s / it)
[11-26 00:19:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.59 Lm: 6.481 (6.557) Lt: 5.747 (5.829) Accm: 3.39 (3.19) Acct: 4.99 (4.95) proj_loss: -0.6028 (-0.6019) time: 0.4944 data: 0.0016
[11-26 00:19:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.59 Lm: 6.440 (6.460) Lt: 5.689 (5.700) Accm: 3.57 (3.56) Acct: 5.39 (5.35) proj_loss: -0.6004 (-0.6017) time: 0.4944 data: 0.0013
[11-26 00:19:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 309/350] [1668/1669] eta: 0:00:00 tlr: 3.2e-05 tnm: 0.59 Lm: 6.581 (6.560) Lt: 5.859 (5.843) Accm: 3.08 (3.21) Acct: 5.11 (5.22) proj_loss: -0.6095 (-0.6053) time: 0.4944 data: 0.0017
[11-26 00:19:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 309/350] Total time: 0:14:03 (0.505 s / it)
[11-26 00:19:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 309/350] Total time: 0:14:03 (0.505 s / it)
[11-26 00:19:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 309/350] Total time: 0:14:03 (0.505 s / it)
[11-26 00:21:35] (home/user/VAR/trainer.py, line 114)=> FID: 3.173874841819554
[11-26 00:21:35] (/home/user/VAR/train.py , line 259)=> [*] [ep309] (val 50000) Lm: 6.5398, Lt: 5.8020, Acc m&t: 3.32 5.19, Val cost: 141.26s
[11-26 00:21:35] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-26 00:22:10] (/home/user/VAR/train.py , line 276)=> [ep309] (training ) Lm: 6.531 (6.540), Lt: 5.785 (5.802), Acc m&t: 3.35 5.25, Remain: 9:16:16, Finish: 2024-11-25 17:35
[11-26 00:22:10] (/home/user/VAR/train.py , line 276)=> [ep309] (training ) Lm: 6.531 (6.540), Lt: 5.785 (5.802), Acc m&t: 3.35 5.25, Remain: 9:16:29, Finish: 2024-11-25 17:35
[11-26 00:22:10] (/home/user/VAR/train.py , line 276)=> [ep309] (training ) Lm: 6.531 (6.540), Lt: 5.785 (5.802), Acc m&t: 3.35 5.25, Remain: 9:16:07, Finish: 2024-11-25 17:35
[11-26 00:22:10] (/home/user/VAR/train.py , line 276)=> [ep309] (training ) Lm: 6.531 (6.540), Lt: 5.785 (5.802), Acc m&t: 3.35 5.25, Remain: 9:16:13, Finish: 2024-11-25 17:35
[11-26 00:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 0/1669] eta: 0:13:21 tlr: 3.2e-05 tnm: 0.59 Lm: 6.600 (6.600) Lt: 5.800 (5.800) Accm: 3.20 (3.20) Acct: 5.22 (5.22) proj_loss: -0.5890 (-0.5890) time: 0.4804 data: 0.0004
[11-26 00:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 0/1669] eta: 0:13:21 tlr: 3.2e-05 tnm: 0.59 Lm: 6.589 (6.589) Lt: 5.889 (5.889) Accm: 3.12 (3.12) Acct: 4.70 (4.70) proj_loss: -0.5932 (-0.5932) time: 0.4800 data: 0.0004
[11-26 00:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 0/1669] eta: 0:13:21 tlr: 3.2e-05 tnm: 0.59 Lm: 6.663 (6.663) Lt: 5.938 (5.938) Accm: 2.91 (2.91) Acct: 4.48 (4.48) proj_loss: -0.5953 (-0.5953) time: 0.4804 data: 0.0004
[11-26 00:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 0/1669] eta: 0:13:21 tlr: 3.2e-05 tnm: 0.59 Lm: 6.664 (6.664) Lt: 5.987 (5.987) Accm: 2.97 (2.97) Acct: 4.55 (4.55) proj_loss: -0.6039 (-0.6039) time: 0.4802 data: 0.0004
[11-26 00:25:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 417/1669] eta: 0:10:40 tlr: 3.1e-05 tnm: 0.60 Lm: 6.591 (6.591) Lt: 5.855 (5.855) Accm: 3.17 (3.17) Acct: 4.96 (4.96) proj_loss: -0.5897 (-0.5897) time: 0.6515 data: 0.0003
[11-26 00:25:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 417/1669] eta: 0:10:40 tlr: 3.1e-05 tnm: 0.60 Lm: 6.570 (6.570) Lt: 5.829 (5.829) Accm: 3.00 (3.00) Acct: 4.68 (4.68) proj_loss: -0.5973 (-0.5973) time: 0.6515 data: 0.0003
[11-26 00:25:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 417/1669] eta: 0:10:40 tlr: 3.1e-05 tnm: 0.60 Lm: 6.455 (6.455) Lt: 5.640 (5.640) Accm: 3.67 (3.67) Acct: 5.85 (5.85) proj_loss: -0.5870 (-0.5870) time: 0.6515 data: 0.0003
[11-26 00:25:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 417/1669] eta: 0:10:40 tlr: 3.1e-05 tnm: 0.60 Lm: 6.576 (6.576) Lt: 5.846 (5.846) Accm: 3.11 (3.11) Acct: 4.86 (4.86) proj_loss: -0.6070 (-0.6070) time: 0.6515 data: 0.0003
[11-26 00:29:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 834/1669] eta: 0:07:07 tlr: 3.1e-05 tnm: 0.59 Lm: 6.488 (6.508) Lt: 5.755 (5.771) Accm: 3.31 (3.39) Acct: 5.23 (5.33) proj_loss: -0.6037 (-0.6059) time: 0.4901 data: 0.0003
[11-26 00:29:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 834/1669] eta: 0:07:07 tlr: 3.1e-05 tnm: 0.59 Lm: 6.589 (6.592) Lt: 5.889 (5.854) Accm: 3.07 (3.02) Acct: 4.67 (4.66) proj_loss: -0.6014 (-0.6005) time: 0.4901 data: 0.0003
[11-26 00:29:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 834/1669] eta: 0:07:07 tlr: 3.1e-05 tnm: 0.59 Lm: 6.535 (6.481) Lt: 5.753 (5.678) Accm: 3.31 (3.55) Acct: 5.41 (5.70) proj_loss: -0.5890 (-0.5967) time: 0.4901 data: 0.0003
[11-26 00:29:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [ 834/1669] eta: 0:07:07 tlr: 3.1e-05 tnm: 0.59 Lm: 6.548 (6.576) Lt: 5.759 (5.823) Accm: 3.14 (3.16) Acct: 5.22 (5.04) proj_loss: -0.6039 (-0.5965) time: 0.4901 data: 0.0003
[11-26 00:32:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1251/1669] eta: 0:03:32 tlr: 3.1e-05 tnm: 0.58 Lm: 6.578 (6.584) Lt: 5.821 (5.838) Accm: 3.06 (3.07) Acct: 4.88 (4.85) proj_loss: -0.6070 (-0.6003) time: 0.4899 data: 0.0003
[11-26 00:32:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1251/1669] eta: 0:03:32 tlr: 3.1e-05 tnm: 0.58 Lm: 6.496 (6.507) Lt: 5.734 (5.757) Accm: 3.46 (3.45) Acct: 5.49 (5.43) proj_loss: -0.6042 (-0.6056) time: 0.4899 data: 0.0003
[11-26 00:32:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1251/1669] eta: 0:03:32 tlr: 3.1e-05 tnm: 0.58 Lm: 6.567 (6.522) Lt: 5.777 (5.747) Accm: 3.25 (3.39) Acct: 5.31 (5.38) proj_loss: -0.6025 (-0.6036) time: 0.4899 data: 0.0003
[11-26 00:32:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1251/1669] eta: 0:03:32 tlr: 3.1e-05 tnm: 0.58 Lm: 6.588 (6.591) Lt: 5.829 (5.832) Accm: 3.09 (3.10) Acct: 4.68 (4.83) proj_loss: -0.5989 (-0.5995) time: 0.4899 data: 0.0003
[11-26 00:36:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-05 tnm: 0.58 Lm: 6.588 (6.585) Lt: 5.781 (5.822) Accm: 3.12 (3.23) Acct: 4.70 (5.07) proj_loss: -0.6014 (-0.6039) time: 0.4910 data: 0.0018
[11-26 00:36:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 310/350] Total time: 0:14:01 (0.504 s / it)
[11-26 00:36:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-05 tnm: 0.58 Lm: 6.548 (6.553) Lt: 5.759 (5.802) Accm: 3.14 (3.20) Acct: 5.22 (5.06) proj_loss: -0.6039 (-0.5999) time: 0.4910 data: 0.0014
[11-26 00:36:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-05 tnm: 0.58 Lm: 6.504 (6.516) Lt: 5.755 (5.776) Accm: 3.55 (3.47) Acct: 5.61 (5.47) proj_loss: -0.6047 (-0.6082) time: 0.4910 data: 0.0016
[11-26 00:36:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 310/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-05 tnm: 0.58 Lm: 6.535 (6.510) Lt: 5.753 (5.735) Accm: 3.31 (3.44) Acct: 5.41 (5.49) proj_loss: -0.6160 (-0.6071) time: 0.4911 data: 0.0018
[11-26 00:36:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 310/350] Total time: 0:14:01 (0.504 s / it)
[11-26 00:36:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 310/350] Total time: 0:14:01 (0.504 s / it)
[11-26 00:36:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 310/350] Total time: 0:14:01 (0.504 s / it)
[11-26 00:36:11] (/home/user/VAR/train.py , line 276)=> [ep310] (training ) Lm: 6.531 (6.536), Lt: 5.785 (5.789), Acc m&t: 3.35 5.25, Remain: 8:59:05, Finish: 2024-11-25 17:35
[11-26 00:36:11] (/home/user/VAR/train.py , line 276)=> [ep310] (training ) Lm: 6.531 (6.536), Lt: 5.785 (5.789), Acc m&t: 3.35 5.25, Remain: 8:59:03, Finish: 2024-11-25 17:35
[11-26 00:36:11] (/home/user/VAR/train.py , line 276)=> [ep310] (training ) Lm: 6.531 (6.536), Lt: 5.785 (5.789), Acc m&t: 3.35 5.25, Remain: 8:59:09, Finish: 2024-11-25 17:35
[11-26 00:36:11] (/home/user/VAR/train.py , line 276)=> [ep310] (training ) Lm: 6.531 (6.536), Lt: 5.785 (5.789), Acc m&t: 3.35 5.25, Remain: 8:59:01, Finish: 2024-11-25 17:35
[11-26 00:36:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 0/1669] eta: 0:13:30 tlr: 3.1e-05 tnm: 0.58 Lm: 6.401 (6.401) Lt: 5.618 (5.618) Accm: 3.71 (3.71) Acct: 5.66 (5.66) proj_loss: -0.5916 (-0.5916) time: 0.4859 data: 0.0003
[11-26 00:36:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 0/1669] eta: 0:12:58 tlr: 3.1e-05 tnm: 0.58 Lm: 6.526 (6.526) Lt: 5.761 (5.761) Accm: 3.12 (3.12) Acct: 4.92 (4.92) proj_loss: -0.6227 (-0.6227) time: 0.4667 data: 0.0004
[11-26 00:36:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 0/1669] eta: 0:12:59 tlr: 3.1e-05 tnm: 0.58 Lm: 6.545 (6.545) Lt: 5.773 (5.773) Accm: 3.55 (3.55) Acct: 5.94 (5.94) proj_loss: -0.6139 (-0.6139) time: 0.4669 data: 0.0004
[11-26 00:36:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 0/1669] eta: 0:12:59 tlr: 3.1e-05 tnm: 0.58 Lm: 6.669 (6.669) Lt: 6.016 (6.016) Accm: 2.94 (2.94) Acct: 4.41 (4.41) proj_loss: -0.6162 (-0.6162) time: 0.4671 data: 0.0004
[11-26 00:39:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 417/1669] eta: 0:10:34 tlr: 3.1e-05 tnm: 0.58 Lm: 6.578 (6.578) Lt: 5.906 (5.906) Accm: 3.18 (3.18) Acct: 4.67 (4.67) proj_loss: -0.6144 (-0.6144) time: 0.5451 data: 0.0003
[11-26 00:39:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 417/1669] eta: 0:10:34 tlr: 3.1e-05 tnm: 0.58 Lm: 6.467 (6.467) Lt: 5.695 (5.695) Accm: 3.65 (3.65) Acct: 6.04 (6.04) proj_loss: -0.6148 (-0.6148) time: 0.5451 data: 0.0003
[11-26 00:39:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 417/1669] eta: 0:10:34 tlr: 3.1e-05 tnm: 0.58 Lm: 6.546 (6.546) Lt: 5.782 (5.782) Accm: 3.43 (3.43) Acct: 5.33 (5.33) proj_loss: -0.6006 (-0.6006) time: 0.5451 data: 0.0003
[11-26 00:39:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 417/1669] eta: 0:10:34 tlr: 3.1e-05 tnm: 0.58 Lm: 6.577 (6.577) Lt: 5.837 (5.837) Accm: 3.04 (3.04) Acct: 4.69 (4.69) proj_loss: -0.6104 (-0.6104) time: 0.5452 data: 0.0003
[11-26 00:43:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 834/1669] eta: 0:07:09 tlr: 3e-05 tnm: 0.59 Lm: 6.526 (6.560) Lt: 5.801 (5.825) Accm: 3.12 (3.21) Acct: 4.92 (4.99) proj_loss: -0.6227 (-0.6159) time: 0.5973 data: 0.0003
[11-26 00:43:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 834/1669] eta: 0:07:09 tlr: 3e-05 tnm: 0.59 Lm: 6.637 (6.576) Lt: 5.880 (5.815) Accm: 3.22 (3.36) Acct: 5.23 (5.30) proj_loss: -0.5916 (-0.5970) time: 0.5974 data: 0.0003
[11-26 00:43:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 834/1669] eta: 0:07:09 tlr: 3e-05 tnm: 0.59 Lm: 6.531 (6.563) Lt: 5.805 (5.873) Accm: 3.28 (3.21) Acct: 4.86 (4.73) proj_loss: -0.6162 (-0.6178) time: 0.5974 data: 0.0003
[11-26 00:43:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [ 834/1669] eta: 0:07:09 tlr: 3e-05 tnm: 0.59 Lm: 6.545 (6.495) Lt: 5.765 (5.718) Accm: 3.55 (3.61) Acct: 5.94 (5.91) proj_loss: -0.6139 (-0.6091) time: 0.5974 data: 0.0003
[11-26 00:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1251/1669] eta: 0:03:35 tlr: 3e-05 tnm: 0.59 Lm: 6.480 (6.475) Lt: 5.710 (5.703) Accm: 3.55 (3.59) Acct: 5.85 (5.87) proj_loss: -0.6063 (-0.6065) time: 0.4909 data: 0.0003
[11-26 00:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1251/1669] eta: 0:03:35 tlr: 3e-05 tnm: 0.59 Lm: 6.564 (6.571) Lt: 5.810 (5.824) Accm: 3.11 (3.19) Acct: 5.11 (5.07) proj_loss: -0.6155 (-0.6140) time: 0.4909 data: 0.0003
[11-26 00:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1251/1669] eta: 0:03:35 tlr: 3e-05 tnm: 0.59 Lm: 6.579 (6.562) Lt: 5.811 (5.796) Accm: 3.34 (3.38) Acct: 5.45 (5.48) proj_loss: -0.5962 (-0.5979) time: 0.4909 data: 0.0003
[11-26 00:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1251/1669] eta: 0:03:35 tlr: 3e-05 tnm: 0.59 Lm: 6.509 (6.532) Lt: 5.801 (5.833) Accm: 3.34 (3.31) Acct: 4.90 (4.91) proj_loss: -0.6144 (-0.6103) time: 0.4909 data: 0.0003
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1668/1669] eta: 0:00:00 tlr: 3e-05 tnm: 0.62 Lm: 6.488 (6.513) Lt: 5.797 (5.792) Accm: 3.41 (3.42) Acct: 4.94 (5.16) proj_loss: -0.6125 (-0.6082) time: 0.4891 data: 0.0017
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 311/350] Total time: 0:14:21 (0.516 s / it)
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1668/1669] eta: 0:00:00 tlr: 3e-05 tnm: 0.62 Lm: 6.415 (6.460) Lt: 5.684 (5.699) Accm: 3.55 (3.59) Acct: 5.77 (5.73) proj_loss: -0.5987 (-0.6049) time: 0.4891 data: 0.0016
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1668/1669] eta: 0:00:00 tlr: 3e-05 tnm: 0.62 Lm: 6.594 (6.569) Lt: 5.805 (5.798) Accm: 3.22 (3.35) Acct: 5.23 (5.39) proj_loss: -0.5916 (-0.5963) time: 0.4891 data: 0.0020
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 311/350] [1668/1669] eta: 0:00:00 tlr: 3e-05 tnm: 0.62 Lm: 6.526 (6.547) Lt: 5.801 (5.807) Accm: 3.12 (3.25) Acct: 5.29 (5.13) proj_loss: -0.6192 (-0.6151) time: 0.4891 data: 0.0017
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 311/350] Total time: 0:14:21 (0.516 s / it)
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 311/350] Total time: 0:14:21 (0.516 s / it)
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 311/350] Total time: 0:14:21 (0.516 s / it)
[11-26 00:50:33] (/home/user/VAR/train.py , line 276)=> [ep311] (training ) Lm: 6.526 (6.526), Lt: 5.778 (5.778), Acc m&t: 3.35 5.27, Remain: 8:44:45, Finish: 2024-11-25 17:35
[11-26 00:50:33] (/home/user/VAR/train.py , line 276)=> [ep311] (training ) Lm: 6.526 (6.526), Lt: 5.778 (5.778), Acc m&t: 3.35 5.27, Remain: 8:44:42, Finish: 2024-11-25 17:35
[11-26 00:50:33] (/home/user/VAR/train.py , line 276)=> [ep311] (training ) Lm: 6.526 (6.526), Lt: 5.778 (5.778), Acc m&t: 3.35 5.27, Remain: 8:44:48, Finish: 2024-11-25 17:35
[11-26 00:50:33] (/home/user/VAR/train.py , line 276)=> [ep311] (training ) Lm: 6.526 (6.526), Lt: 5.778 (5.778), Acc m&t: 3.35 5.27, Remain: 8:44:46, Finish: 2024-11-25 17:35
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 0/1669] eta: 0:13:15 tlr: 3e-05 tnm: 0.59 Lm: 6.438 (6.438) Lt: 5.699 (5.699) Accm: 3.25 (3.25) Acct: 5.18 (5.18) proj_loss: -0.6094 (-0.6094) time: 0.4764 data: 0.0003
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 0/1669] eta: 0:13:05 tlr: 3e-05 tnm: 0.59 Lm: 6.573 (6.573) Lt: 5.852 (5.852) Accm: 2.97 (2.97) Acct: 4.51 (4.51) proj_loss: -0.6021 (-0.6021) time: 0.4708 data: 0.0004
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 0/1669] eta: 0:13:15 tlr: 3e-05 tnm: 0.59 Lm: 6.498 (6.498) Lt: 5.762 (5.762) Accm: 3.26 (3.26) Acct: 5.03 (5.03) proj_loss: -0.6157 (-0.6157) time: 0.4765 data: 0.0004
[11-26 00:50:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 0/1669] eta: 0:13:15 tlr: 3e-05 tnm: 0.59 Lm: 6.553 (6.553) Lt: 5.810 (5.810) Accm: 3.15 (3.15) Acct: 4.80 (4.80) proj_loss: -0.6163 (-0.6163) time: 0.4768 data: 0.0004
[11-26 00:53:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 417/1669] eta: 0:10:13 tlr: 3e-05 tnm: 0.58 Lm: 6.635 (6.635) Lt: 5.911 (5.911) Accm: 3.04 (3.04) Acct: 4.72 (4.72) proj_loss: -0.6175 (-0.6175) time: 0.4931 data: 0.0003
[11-26 00:53:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 417/1669] eta: 0:10:13 tlr: 3e-05 tnm: 0.58 Lm: 6.480 (6.480) Lt: 5.751 (5.751) Accm: 3.41 (3.41) Acct: 5.39 (5.39) proj_loss: -0.6008 (-0.6008) time: 0.4931 data: 0.0003
[11-26 00:53:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 417/1669] eta: 0:10:13 tlr: 3e-05 tnm: 0.58 Lm: 6.592 (6.592) Lt: 5.884 (5.884) Accm: 3.04 (3.04) Acct: 4.67 (4.67) proj_loss: -0.6149 (-0.6149) time: 0.4931 data: 0.0003
[11-26 00:53:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 417/1669] eta: 0:10:13 tlr: 3e-05 tnm: 0.58 Lm: 6.589 (6.589) Lt: 5.868 (5.868) Accm: 3.03 (3.03) Acct: 4.66 (4.66) proj_loss: -0.6000 (-0.6000) time: 0.4931 data: 0.0003
[11-26 00:57:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 834/1669] eta: 0:06:52 tlr: 3e-05 tnm: 0.59 Lm: 6.592 (6.590) Lt: 5.852 (5.858) Accm: 3.10 (3.06) Acct: 4.80 (4.82) proj_loss: -0.6007 (-0.6002) time: 0.5938 data: 0.0003
[11-26 00:57:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 834/1669] eta: 0:06:52 tlr: 3e-05 tnm: 0.59 Lm: 6.553 (6.538) Lt: 5.810 (5.792) Accm: 3.15 (3.35) Acct: 4.80 (5.20) proj_loss: -0.6187 (-0.6195) time: 0.5937 data: 0.0003
[11-26 00:57:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 834/1669] eta: 0:06:52 tlr: 3e-05 tnm: 0.59 Lm: 6.522 (6.553) Lt: 5.802 (5.829) Accm: 3.25 (3.12) Acct: 5.18 (4.90) proj_loss: -0.6043 (-0.6020) time: 0.5937 data: 0.0003
[11-26 00:57:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [ 834/1669] eta: 0:06:52 tlr: 3e-05 tnm: 0.59 Lm: 6.623 (6.603) Lt: 5.883 (5.884) Accm: 3.10 (3.06) Acct: 4.72 (4.68) proj_loss: -0.6141 (-0.6107) time: 0.5938 data: 0.0003
[11-26 01:01:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1251/1669] eta: 0:03:29 tlr: 3e-05 tnm: 0.60 Lm: 6.600 (6.596) Lt: 5.855 (5.869) Accm: 3.17 (3.10) Acct: 4.87 (4.80) proj_loss: -0.6082 (-0.6084) time: 0.5415 data: 0.0003
[11-26 01:01:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1251/1669] eta: 0:03:29 tlr: 3e-05 tnm: 0.60 Lm: 6.582 (6.561) Lt: 5.844 (5.822) Accm: 3.10 (3.20) Acct: 4.98 (4.98) proj_loss: -0.5993 (-0.5996) time: 0.5415 data: 0.0003
[11-26 01:01:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1251/1669] eta: 0:03:29 tlr: 3e-05 tnm: 0.60 Lm: 6.564 (6.547) Lt: 5.832 (5.808) Accm: 3.22 (3.33) Acct: 4.93 (5.17) proj_loss: -0.6175 (-0.6157) time: 0.5415 data: 0.0003
[11-26 01:01:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1251/1669] eta: 0:03:29 tlr: 3e-05 tnm: 0.60 Lm: 6.534 (6.551) Lt: 5.791 (5.817) Accm: 3.26 (3.15) Acct: 5.08 (4.92) proj_loss: -0.6036 (-0.6022) time: 0.5415 data: 0.0003
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.61 Lm: 6.546 (6.570) Lt: 5.802 (5.837) Accm: 3.25 (3.14) Acct: 4.98 (4.88) proj_loss: -0.6043 (-0.6076) time: 0.4958 data: 0.0014
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 312/350] Total time: 0:13:59 (0.503 s / it)
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.61 Lm: 6.573 (6.536) Lt: 5.837 (5.785) Accm: 3.10 (3.27) Acct: 5.15 (5.11) proj_loss: -0.5979 (-0.5975) time: 0.4959 data: 0.0019
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.61 Lm: 6.577 (6.582) Lt: 5.827 (5.850) Accm: 3.20 (3.12) Acct: 4.91 (4.82) proj_loss: -0.6022 (-0.6064) time: 0.4958 data: 0.0016
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 312/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.61 Lm: 6.576 (6.554) Lt: 5.810 (5.802) Accm: 3.15 (3.25) Acct: 4.80 (5.04) proj_loss: -0.6163 (-0.6101) time: 0.4958 data: 0.0016
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 312/350] Total time: 0:13:59 (0.503 s / it)
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 312/350] Total time: 0:13:59 (0.503 s / it)
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 312/350] Total time: 0:13:59 (0.503 s / it)
[11-26 01:04:33] (/home/user/VAR/train.py , line 276)=> [ep312] (training ) Lm: 6.526 (6.548), Lt: 5.778 (5.807), Acc m&t: 3.35 5.27, Remain: 8:34:01, Finish: 2024-11-25 17:38
[11-26 01:04:33] (/home/user/VAR/train.py , line 276)=> [ep312] (training ) Lm: 6.526 (6.548), Lt: 5.778 (5.807), Acc m&t: 3.35 5.27, Remain: 8:33:48, Finish: 2024-11-25 17:38
[11-26 01:04:33] (/home/user/VAR/train.py , line 276)=> [ep312] (training ) Lm: 6.526 (6.548), Lt: 5.778 (5.807), Acc m&t: 3.35 5.27, Remain: 8:33:43, Finish: 2024-11-25 17:38
[11-26 01:04:33] (/home/user/VAR/train.py , line 276)=> [ep312] (training ) Lm: 6.526 (6.548), Lt: 5.778 (5.807), Acc m&t: 3.35 5.27, Remain: 8:34:01, Finish: 2024-11-25 17:38
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 0/1669] eta: 0:13:25 tlr: 2.9e-05 tnm: 0.61 Lm: 6.713 (6.713) Lt: 6.014 (6.014) Accm: 2.75 (2.75) Acct: 4.12 (4.12) proj_loss: -0.6151 (-0.6151) time: 0.4829 data: 0.0004
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 0/1669] eta: 0:13:27 tlr: 2.9e-05 tnm: 0.61 Lm: 6.284 (6.284) Lt: 5.499 (5.499) Accm: 3.94 (3.94) Acct: 6.39 (6.39) proj_loss: -0.5971 (-0.5971) time: 0.4837 data: 0.0004
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 0/1669] eta: 0:13:27 tlr: 2.9e-05 tnm: 0.61 Lm: 6.438 (6.438) Lt: 5.696 (5.696) Accm: 3.66 (3.66) Acct: 5.54 (5.54) proj_loss: -0.6184 (-0.6184) time: 0.4836 data: 0.0004
[11-26 01:04:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 0/1669] eta: 0:13:27 tlr: 2.9e-05 tnm: 0.61 Lm: 6.664 (6.664) Lt: 5.914 (5.914) Accm: 3.16 (3.16) Acct: 5.11 (5.11) proj_loss: -0.6269 (-0.6269) time: 0.4840 data: 0.0004
[11-26 01:08:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 417/1669] eta: 0:10:57 tlr: 2.9e-05 tnm: 0.60 Lm: 6.685 (6.685) Lt: 5.969 (5.969) Accm: 2.92 (2.92) Acct: 4.68 (4.68) proj_loss: -0.6209 (-0.6209) time: 0.4889 data: 0.0003
[11-26 01:08:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 417/1669] eta: 0:10:57 tlr: 2.9e-05 tnm: 0.60 Lm: 6.644 (6.644) Lt: 5.948 (5.948) Accm: 2.83 (2.83) Acct: 4.35 (4.35) proj_loss: -0.6031 (-0.6031) time: 0.4890 data: 0.0003
[11-26 01:08:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 417/1669] eta: 0:10:57 tlr: 2.9e-05 tnm: 0.60 Lm: 6.393 (6.393) Lt: 5.665 (5.665) Accm: 3.58 (3.58) Acct: 5.44 (5.44) proj_loss: -0.6284 (-0.6284) time: 0.4890 data: 0.0003
[11-26 01:08:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 417/1669] eta: 0:10:57 tlr: 2.9e-05 tnm: 0.60 Lm: 6.383 (6.383) Lt: 5.610 (5.610) Accm: 3.64 (3.64) Acct: 5.60 (5.60) proj_loss: -0.6032 (-0.6032) time: 0.4890 data: 0.0003
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 834/1669] eta: 0:07:11 tlr: 2.9e-05 tnm: 0.60 Lm: 6.483 (6.452) Lt: 5.721 (5.698) Accm: 3.34 (3.50) Acct: 5.13 (5.45) proj_loss: -0.6092 (-0.6099) time: 0.4891 data: 0.0003
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 834/1669] eta: 0:07:11 tlr: 2.9e-05 tnm: 0.60 Lm: 6.438 (6.449) Lt: 5.696 (5.729) Accm: 3.51 (3.44) Acct: 5.34 (5.31) proj_loss: -0.6184 (-0.6214) time: 0.4891 data: 0.0003
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 834/1669] eta: 0:07:11 tlr: 2.9e-05 tnm: 0.60 Lm: 6.664 (6.637) Lt: 5.914 (5.907) Accm: 3.15 (3.00) Acct: 4.98 (4.78) proj_loss: -0.6150 (-0.6124) time: 0.4891 data: 0.0003
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [ 834/1669] eta: 0:07:11 tlr: 2.9e-05 tnm: 0.60 Lm: 6.575 (6.608) Lt: 5.882 (5.904) Accm: 2.92 (2.93) Acct: 4.58 (4.50) proj_loss: -0.6151 (-0.6083) time: 0.4891 data: 0.0003
[11-26 01:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1251/1669] eta: 0:03:33 tlr: 2.9e-05 tnm: 0.62 Lm: 6.597 (6.611) Lt: 5.900 (5.908) Accm: 3.03 (3.00) Acct: 4.62 (4.54) proj_loss: -0.6063 (-0.6056) time: 0.5410 data: 0.0003
[11-26 01:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1251/1669] eta: 0:03:33 tlr: 2.9e-05 tnm: 0.62 Lm: 6.443 (6.449) Lt: 5.717 (5.731) Accm: 3.58 (3.55) Acct: 5.44 (5.41) proj_loss: -0.6187 (-0.6208) time: 0.5410 data: 0.0003
[11-26 01:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1251/1669] eta: 0:03:33 tlr: 2.9e-05 tnm: 0.62 Lm: 6.603 (6.570) Lt: 5.849 (5.828) Accm: 3.16 (3.17) Acct: 5.04 (5.00) proj_loss: -0.6073 (-0.6092) time: 0.5410 data: 0.0003
[11-26 01:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1251/1669] eta: 0:03:33 tlr: 2.9e-05 tnm: 0.62 Lm: 6.478 (6.458) Lt: 5.718 (5.702) Accm: 3.39 (3.48) Acct: 5.23 (5.41) proj_loss: -0.6062 (-0.6082) time: 0.5410 data: 0.0002
[11-26 01:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.59 Lm: 6.483 (6.469) Lt: 5.721 (5.716) Accm: 3.38 (3.46) Acct: 5.13 (5.35) proj_loss: -0.6031 (-0.6062) time: 0.4917 data: 0.0016
[11-26 01:18:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 313/350] Total time: 0:14:06 (0.507 s / it)
[11-26 01:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.59 Lm: 6.541 (6.553) Lt: 5.783 (5.811) Accm: 3.16 (3.24) Acct: 5.11 (5.05) proj_loss: -0.5997 (-0.6043) time: 0.4917 data: 0.0017
[11-26 01:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.59 Lm: 6.619 (6.629) Lt: 5.917 (5.918) Accm: 2.92 (2.97) Acct: 4.58 (4.51) proj_loss: -0.5974 (-0.6005) time: 0.4917 data: 0.0013
[11-26 01:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 313/350] [1668/1669] eta: 0:00:00 tlr: 2.9e-05 tnm: 0.59 Lm: 6.448 (6.457) Lt: 5.737 (5.735) Accm: 3.51 (3.53) Acct: 5.39 (5.41) proj_loss: -0.6184 (-0.6190) time: 0.4917 data: 0.0016
[11-26 01:18:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 313/350] Total time: 0:14:06 (0.507 s / it)
[11-26 01:18:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 313/350] Total time: 0:14:06 (0.507 s / it)
[11-26 01:18:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 313/350] Total time: 0:14:06 (0.507 s / it)
[11-26 01:18:39] (/home/user/VAR/train.py , line 276)=> [ep313] (training ) Lm: 6.526 (6.528), Lt: 5.778 (5.786), Acc m&t: 3.35 5.27, Remain: 8:16:41, Finish: 2024-11-25 17:35
[11-26 01:18:39] (/home/user/VAR/train.py , line 276)=> [ep313] (training ) Lm: 6.526 (6.528), Lt: 5.778 (5.786), Acc m&t: 3.35 5.27, Remain: 8:16:45, Finish: 2024-11-25 17:35
[11-26 01:18:39] (/home/user/VAR/train.py , line 276)=> [ep313] (training ) Lm: 6.526 (6.528), Lt: 5.778 (5.786), Acc m&t: 3.35 5.27, Remain: 8:16:29, Finish: 2024-11-25 17:35
[11-26 01:18:39] (/home/user/VAR/train.py , line 276)=> [ep313] (training ) Lm: 6.526 (6.528), Lt: 5.778 (5.786), Acc m&t: 3.35 5.27, Remain: 8:16:12, Finish: 2024-11-25 17:34
[11-26 01:18:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 0/1669] eta: 0:12:59 tlr: 2.9e-05 tnm: 0.60 Lm: 6.382 (6.382) Lt: 5.628 (5.628) Accm: 3.91 (3.91) Acct: 6.20 (6.20) proj_loss: -0.5889 (-0.5889) time: 0.4671 data: 0.0004
[11-26 01:18:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 0/1669] eta: 0:13:00 tlr: 2.9e-05 tnm: 0.60 Lm: 6.449 (6.449) Lt: 5.770 (5.770) Accm: 3.51 (3.51) Acct: 5.30 (5.30) proj_loss: -0.6217 (-0.6217) time: 0.4674 data: 0.0004
[11-26 01:18:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 0/1669] eta: 0:13:00 tlr: 2.9e-05 tnm: 0.60 Lm: 6.394 (6.394) Lt: 5.580 (5.580) Accm: 3.86 (3.86) Acct: 6.11 (6.11) proj_loss: -0.5980 (-0.5980) time: 0.4675 data: 0.0003
[11-26 01:18:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 0/1669] eta: 0:12:53 tlr: 2.9e-05 tnm: 0.60 Lm: 6.555 (6.555) Lt: 5.827 (5.827) Accm: 3.36 (3.36) Acct: 5.49 (5.49) proj_loss: -0.5906 (-0.5906) time: 0.4636 data: 0.0004
[11-26 01:22:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 417/1669] eta: 0:10:37 tlr: 2.8e-05 tnm: 0.59 Lm: 6.580 (6.580) Lt: 5.855 (5.855) Accm: 3.18 (3.18) Acct: 4.98 (4.98) proj_loss: -0.5923 (-0.5923) time: 0.4928 data: 0.0003
[11-26 01:22:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 417/1669] eta: 0:10:37 tlr: 2.8e-05 tnm: 0.59 Lm: 6.423 (6.423) Lt: 5.668 (5.668) Accm: 3.69 (3.69) Acct: 5.84 (5.84) proj_loss: -0.5903 (-0.5903) time: 0.4928 data: 0.0003
[11-26 01:22:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 417/1669] eta: 0:10:37 tlr: 2.8e-05 tnm: 0.59 Lm: 6.500 (6.500) Lt: 5.708 (5.708) Accm: 3.70 (3.70) Acct: 5.91 (5.91) proj_loss: -0.6028 (-0.6028) time: 0.4927 data: 0.0003
[11-26 01:22:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 417/1669] eta: 0:10:37 tlr: 2.8e-05 tnm: 0.59 Lm: 6.480 (6.480) Lt: 5.766 (5.766) Accm: 3.42 (3.42) Acct: 5.24 (5.24) proj_loss: -0.6165 (-0.6165) time: 0.4927 data: 0.0003
[11-26 01:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 834/1669] eta: 0:07:12 tlr: 2.8e-05 tnm: 0.59 Lm: 6.512 (6.547) Lt: 5.770 (5.845) Accm: 3.32 (3.22) Acct: 5.18 (4.99) proj_loss: -0.6142 (-0.6157) time: 0.5488 data: 0.0003
[11-26 01:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 834/1669] eta: 0:07:12 tlr: 2.8e-05 tnm: 0.59 Lm: 6.607 (6.558) Lt: 5.837 (5.787) Accm: 3.55 (3.46) Acct: 5.72 (5.56) proj_loss: -0.5980 (-0.6006) time: 0.5488 data: 0.0003
[11-26 01:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 834/1669] eta: 0:07:12 tlr: 2.8e-05 tnm: 0.59 Lm: 6.606 (6.594) Lt: 5.869 (5.860) Accm: 3.26 (3.21) Acct: 4.99 (4.98) proj_loss: -0.5940 (-0.5983) time: 0.5488 data: 0.0003
[11-26 01:25:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [ 834/1669] eta: 0:07:12 tlr: 2.8e-05 tnm: 0.59 Lm: 6.465 (6.490) Lt: 5.709 (5.739) Accm: 3.46 (3.54) Acct: 5.48 (5.64) proj_loss: -0.5917 (-0.5920) time: 0.5489 data: 0.0003
[11-26 01:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1251/1669] eta: 0:03:35 tlr: 2.8e-05 tnm: 0.60 Lm: 6.544 (6.536) Lt: 5.794 (5.789) Accm: 3.35 (3.37) Acct: 5.35 (5.35) proj_loss: -0.5935 (-0.5938) time: 0.4920 data: 0.0003
[11-26 01:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1251/1669] eta: 0:03:35 tlr: 2.8e-05 tnm: 0.60 Lm: 6.580 (6.562) Lt: 5.848 (5.827) Accm: 3.31 (3.27) Acct: 5.24 (5.13) proj_loss: -0.6002 (-0.6004) time: 0.4920 data: 0.0003
[11-26 01:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1251/1669] eta: 0:03:35 tlr: 2.8e-05 tnm: 0.60 Lm: 6.527 (6.546) Lt: 5.766 (5.822) Accm: 3.32 (3.24) Acct: 5.21 (5.05) proj_loss: -0.6127 (-0.6101) time: 0.4920 data: 0.0003
[11-26 01:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1251/1669] eta: 0:03:35 tlr: 2.8e-05 tnm: 0.60 Lm: 6.602 (6.568) Lt: 5.841 (5.802) Accm: 3.44 (3.43) Acct: 5.49 (5.48) proj_loss: -0.5971 (-0.5975) time: 0.4920 data: 0.0003
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1668/1669] eta: 0:00:00 tlr: 2.8e-05 tnm: 0.59 Lm: 6.596 (6.559) Lt: 5.846 (5.811) Accm: 3.33 (3.40) Acct: 5.27 (5.37) proj_loss: -0.5980 (-0.5999) time: 0.4940 data: 0.0018
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 314/350] Total time: 0:14:19 (0.515 s / it)
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1668/1669] eta: 0:00:00 tlr: 2.8e-05 tnm: 0.59 Lm: 6.555 (6.553) Lt: 5.827 (5.817) Accm: 3.26 (3.25) Acct: 5.01 (5.11) proj_loss: -0.6064 (-0.6022) time: 0.4940 data: 0.0017
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1668/1669] eta: 0:00:00 tlr: 2.8e-05 tnm: 0.59 Lm: 6.512 (6.531) Lt: 5.757 (5.782) Accm: 3.46 (3.41) Acct: 5.48 (5.39) proj_loss: -0.5917 (-0.5924) time: 0.4940 data: 0.0018
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 314/350] [1668/1669] eta: 0:00:00 tlr: 2.8e-05 tnm: 0.59 Lm: 6.542 (6.571) Lt: 5.770 (5.857) Accm: 3.32 (3.18) Acct: 5.18 (4.91) proj_loss: -0.6142 (-0.6123) time: 0.4940 data: 0.0021
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 314/350] Total time: 0:14:19 (0.515 s / it)
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 314/350] Total time: 0:14:19 (0.515 s / it)
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 314/350] Total time: 0:14:19 (0.515 s / it)
[11-26 01:32:59] (/home/user/VAR/train.py , line 276)=> [ep314] (training ) Lm: 6.526 (6.540), Lt: 5.778 (5.797), Acc m&t: 3.35 5.27, Remain: 8:05:56, Finish: 2024-11-25 17:38
[11-26 01:32:59] (/home/user/VAR/train.py , line 276)=> [ep314] (training ) Lm: 6.526 (6.540), Lt: 5.778 (5.797), Acc m&t: 3.35 5.27, Remain: 8:05:50, Finish: 2024-11-25 17:38
[11-26 01:32:59] (/home/user/VAR/train.py , line 276)=> [ep314] (training ) Lm: 6.526 (6.540), Lt: 5.778 (5.797), Acc m&t: 3.35 5.27, Remain: 8:05:57, Finish: 2024-11-25 17:38
[11-26 01:32:59] (/home/user/VAR/train.py , line 276)=> [ep314] (training ) Lm: 6.526 (6.540), Lt: 5.778 (5.797), Acc m&t: 3.35 5.27, Remain: 8:05:33, Finish: 2024-11-25 17:38
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 0/1669] eta: 0:13:11 tlr: 2.8e-05 tnm: 0.60 Lm: 6.527 (6.527) Lt: 5.844 (5.844) Accm: 3.23 (3.23) Acct: 4.94 (4.94) proj_loss: -0.6194 (-0.6194) time: 0.4742 data: 0.0003
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 0/1669] eta: 0:13:12 tlr: 2.8e-05 tnm: 0.60 Lm: 6.485 (6.485) Lt: 5.693 (5.693) Accm: 3.30 (3.30) Acct: 5.27 (5.27) proj_loss: -0.5938 (-0.5938) time: 0.4747 data: 0.0003
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 0/1669] eta: 0:13:11 tlr: 2.8e-05 tnm: 0.60 Lm: 6.711 (6.711) Lt: 5.937 (5.937) Accm: 2.87 (2.87) Acct: 4.75 (4.75) proj_loss: -0.6052 (-0.6052) time: 0.4741 data: 0.0004
[11-26 01:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 0/1669] eta: 0:13:12 tlr: 2.8e-05 tnm: 0.60 Lm: 6.500 (6.500) Lt: 5.708 (5.708) Accm: 3.47 (3.47) Acct: 5.35 (5.35) proj_loss: -0.5868 (-0.5868) time: 0.4746 data: 0.0004
[11-26 01:36:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 417/1669] eta: 0:10:12 tlr: 2.8e-05 tnm: 0.60 Lm: 6.546 (6.546) Lt: 5.777 (5.777) Accm: 3.30 (3.30) Acct: 5.12 (5.12) proj_loss: -0.5952 (-0.5952) time: 0.4886 data: 0.0003
[11-26 01:36:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 417/1669] eta: 0:10:12 tlr: 2.8e-05 tnm: 0.60 Lm: 6.634 (6.634) Lt: 5.881 (5.881) Accm: 3.03 (3.03) Acct: 4.89 (4.89) proj_loss: -0.5986 (-0.5986) time: 0.4886 data: 0.0003
[11-26 01:36:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 417/1669] eta: 0:10:12 tlr: 2.8e-05 tnm: 0.60 Lm: 6.457 (6.457) Lt: 5.680 (5.680) Accm: 3.59 (3.59) Acct: 5.61 (5.61) proj_loss: -0.6105 (-0.6105) time: 0.4886 data: 0.0003
[11-26 01:36:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 417/1669] eta: 0:10:12 tlr: 2.8e-05 tnm: 0.60 Lm: 6.571 (6.571) Lt: 5.915 (5.915) Accm: 3.17 (3.17) Acct: 4.77 (4.77) proj_loss: -0.6131 (-0.6131) time: 0.4887 data: 0.0003
[11-26 01:39:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 834/1669] eta: 0:06:58 tlr: 2.8e-05 tnm: 0.59 Lm: 6.571 (6.571) Lt: 5.844 (5.882) Accm: 3.11 (3.12) Acct: 4.80 (4.78) proj_loss: -0.6080 (-0.6114) time: 0.5427 data: 0.0003
[11-26 01:39:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 834/1669] eta: 0:06:58 tlr: 2.8e-05 tnm: 0.59 Lm: 6.556 (6.582) Lt: 5.825 (5.833) Accm: 3.18 (3.22) Acct: 5.03 (5.11) proj_loss: -0.6019 (-0.5997) time: 0.5427 data: 0.0003
[11-26 01:39:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 834/1669] eta: 0:06:58 tlr: 2.8e-05 tnm: 0.59 Lm: 6.591 (6.561) Lt: 5.828 (5.794) Accm: 3.22 (3.28) Acct: 5.35 (5.22) proj_loss: -0.5919 (-0.5941) time: 0.5427 data: 0.0003
[11-26 01:39:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [ 834/1669] eta: 0:06:58 tlr: 2.8e-05 tnm: 0.59 Lm: 6.485 (6.526) Lt: 5.693 (5.774) Accm: 3.30 (3.41) Acct: 5.27 (5.32) proj_loss: -0.6051 (-0.6087) time: 0.5428 data: 0.0003
[11-26 01:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1251/1669] eta: 0:03:32 tlr: 2.7e-05 tnm: 0.59 Lm: 6.568 (6.557) Lt: 5.789 (5.801) Accm: 3.18 (3.29) Acct: 5.01 (5.18) proj_loss: -0.6096 (-0.6101) time: 0.5468 data: 0.0003
[11-26 01:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1251/1669] eta: 0:03:32 tlr: 2.7e-05 tnm: 0.59 Lm: 6.528 (6.561) Lt: 5.786 (5.812) Accm: 3.28 (3.26) Acct: 5.09 (5.12) proj_loss: -0.5990 (-0.5988) time: 0.5468 data: 0.0003
[11-26 01:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1251/1669] eta: 0:03:32 tlr: 2.7e-05 tnm: 0.59 Lm: 6.549 (6.558) Lt: 5.829 (5.845) Accm: 3.17 (3.15) Acct: 4.87 (4.91) proj_loss: -0.6074 (-0.6079) time: 0.5468 data: 0.0003
[11-26 01:43:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1251/1669] eta: 0:03:32 tlr: 2.7e-05 tnm: 0.59 Lm: 6.582 (6.564) Lt: 5.816 (5.796) Accm: 3.34 (3.32) Acct: 5.39 (5.30) proj_loss: -0.5944 (-0.5948) time: 0.5468 data: 0.0003
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1668/1669] eta: 0:00:00 tlr: 2.7e-05 tnm: 0.60 Lm: 6.573 (6.555) Lt: 5.804 (5.793) Accm: 3.45 (3.36) Acct: 5.42 (5.33) proj_loss: -0.5919 (-0.5936) time: 0.4918 data: 0.0022
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 315/350] Total time: 0:14:02 (0.505 s / it)
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1668/1669] eta: 0:00:00 tlr: 2.7e-05 tnm: 0.60 Lm: 6.651 (6.591) Lt: 5.884 (5.851) Accm: 3.07 (3.18) Acct: 4.75 (4.97) proj_loss: -0.6139 (-0.6108) time: 0.4918 data: 0.0019
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1668/1669] eta: 0:00:00 tlr: 2.7e-05 tnm: 0.60 Lm: 6.562 (6.558) Lt: 5.840 (5.844) Accm: 3.11 (3.10) Acct: 4.80 (4.82) proj_loss: -0.6068 (-0.6043) time: 0.4918 data: 0.0015
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 315/350] [1668/1669] eta: 0:00:00 tlr: 2.7e-05 tnm: 0.60 Lm: 6.527 (6.554) Lt: 5.761 (5.802) Accm: 3.37 (3.29) Acct: 5.15 (5.19) proj_loss: -0.5961 (-0.5971) time: 0.4918 data: 0.0017
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 315/350] Total time: 0:14:02 (0.505 s / it)
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 315/350] Total time: 0:14:02 (0.505 s / it)
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 315/350] Total time: 0:14:02 (0.505 s / it)
[11-26 01:47:02] (/home/user/VAR/train.py , line 276)=> [ep315] (training ) Lm: 6.526 (6.535), Lt: 5.778 (5.792), Acc m&t: 3.35 5.27, Remain: 7:50:09, Finish: 2024-11-25 17:37
[11-26 01:47:02] (/home/user/VAR/train.py , line 276)=> [ep315] (training ) Lm: 6.526 (6.535), Lt: 5.778 (5.792), Acc m&t: 3.35 5.27, Remain: 7:50:13, Finish: 2024-11-25 17:37
[11-26 01:47:02] (/home/user/VAR/train.py , line 276)=> [ep315] (training ) Lm: 6.526 (6.535), Lt: 5.778 (5.792), Acc m&t: 3.35 5.27, Remain: 7:50:13, Finish: 2024-11-25 17:37
[11-26 01:47:02] (/home/user/VAR/train.py , line 276)=> [ep315] (training ) Lm: 6.526 (6.535), Lt: 5.778 (5.792), Acc m&t: 3.35 5.27, Remain: 7:50:07, Finish: 2024-11-25 17:37
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 0/1669] eta: 0:13:00 tlr: 2.7e-05 tnm: 0.59 Lm: 6.505 (6.505) Lt: 5.768 (5.768) Accm: 3.24 (3.24) Acct: 5.25 (5.25) proj_loss: -0.6140 (-0.6140) time: 0.4676 data: 0.0004
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 0/1669] eta: 0:13:00 tlr: 2.7e-05 tnm: 0.59 Lm: 6.525 (6.525) Lt: 5.815 (5.815) Accm: 3.21 (3.21) Acct: 5.03 (5.03) proj_loss: -0.6055 (-0.6055) time: 0.4678 data: 0.0004
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 0/1669] eta: 0:13:01 tlr: 2.7e-05 tnm: 0.59 Lm: 6.332 (6.332) Lt: 5.524 (5.524) Accm: 3.76 (3.76) Acct: 6.22 (6.22) proj_loss: -0.5913 (-0.5913) time: 0.4680 data: 0.0004
[11-26 01:47:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 0/1669] eta: 0:13:01 tlr: 2.7e-05 tnm: 0.59 Lm: 6.800 (6.800) Lt: 6.068 (6.068) Accm: 2.59 (2.59) Acct: 4.12 (4.12) proj_loss: -0.5962 (-0.5962) time: 0.4683 data: 0.0004
[11-26 01:50:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 417/1669] eta: 0:10:56 tlr: 2.7e-05 tnm: 0.60 Lm: 6.623 (6.623) Lt: 5.898 (5.898) Accm: 3.10 (3.10) Acct: 4.83 (4.83) proj_loss: -0.5904 (-0.5904) time: 0.4919 data: 0.0003
[11-26 01:50:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 417/1669] eta: 0:10:56 tlr: 2.7e-05 tnm: 0.60 Lm: 6.563 (6.563) Lt: 5.847 (5.847) Accm: 3.10 (3.10) Acct: 4.83 (4.83) proj_loss: -0.6102 (-0.6102) time: 0.4919 data: 0.0003
[11-26 01:50:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 417/1669] eta: 0:10:56 tlr: 2.7e-05 tnm: 0.60 Lm: 6.422 (6.422) Lt: 5.670 (5.670) Accm: 3.52 (3.52) Acct: 5.67 (5.67) proj_loss: -0.5937 (-0.5937) time: 0.4919 data: 0.0003
[11-26 01:50:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 417/1669] eta: 0:10:56 tlr: 2.7e-05 tnm: 0.60 Lm: 6.520 (6.520) Lt: 5.770 (5.770) Accm: 3.29 (3.29) Acct: 5.29 (5.29) proj_loss: -0.6007 (-0.6007) time: 0.4919 data: 0.0003
[11-26 01:54:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 834/1669] eta: 0:07:08 tlr: 2.7e-05 tnm: 0.60 Lm: 6.525 (6.545) Lt: 5.815 (5.789) Accm: 3.21 (3.23) Acct: 5.03 (5.16) proj_loss: -0.5959 (-0.5990) time: 0.5431 data: 0.0003
[11-26 01:54:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 834/1669] eta: 0:07:08 tlr: 2.7e-05 tnm: 0.60 Lm: 6.572 (6.606) Lt: 5.857 (5.884) Accm: 3.07 (3.09) Acct: 4.51 (4.72) proj_loss: -0.5924 (-0.5911) time: 0.5431 data: 0.0003
[11-26 01:54:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 834/1669] eta: 0:07:08 tlr: 2.7e-05 tnm: 0.60 Lm: 6.512 (6.505) Lt: 5.815 (5.749) Accm: 3.29 (3.33) Acct: 5.13 (5.38) proj_loss: -0.5931 (-0.5935) time: 0.5431 data: 0.0003
[11-26 01:54:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [ 834/1669] eta: 0:07:08 tlr: 2.7e-05 tnm: 0.60 Lm: 6.527 (6.551) Lt: 5.768 (5.813) Accm: 3.24 (3.25) Acct: 5.25 (5.21) proj_loss: -0.6064 (-0.6044) time: 0.5431 data: 0.0003
[11-26 01:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1251/1669] eta: 0:03:32 tlr: 2.7e-05 tnm: 0.58 Lm: 6.516 (6.515) Lt: 5.756 (5.788) Accm: 3.40 (3.36) Acct: 5.42 (5.31) proj_loss: -0.6102 (-0.6076) time: 0.4878 data: 0.0003
[11-26 01:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1251/1669] eta: 0:03:32 tlr: 2.7e-05 tnm: 0.58 Lm: 6.520 (6.524) Lt: 5.770 (5.773) Accm: 3.29 (3.33) Acct: 5.29 (5.26) proj_loss: -0.6007 (-0.6020) time: 0.4877 data: 0.0003
[11-26 01:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1251/1669] eta: 0:03:32 tlr: 2.7e-05 tnm: 0.58 Lm: 6.492 (6.497) Lt: 5.760 (5.738) Accm: 3.23 (3.30) Acct: 5.05 (5.28) proj_loss: -0.5946 (-0.5999) time: 0.4878 data: 0.0003
[11-26 01:57:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1251/1669] eta: 0:03:32 tlr: 2.7e-05 tnm: 0.58 Lm: 6.509 (6.556) Lt: 5.792 (5.828) Accm: 3.34 (3.32) Acct: 5.03 (5.11) proj_loss: -0.5943 (-0.5967) time: 0.4878 data: 0.0003
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.60 Lm: 6.523 (6.549) Lt: 5.789 (5.820) Accm: 3.24 (3.30) Acct: 5.11 (5.11) proj_loss: -0.5962 (-0.5977) time: 0.4886 data: 0.0016
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 316/350] Total time: 0:14:05 (0.506 s / it)
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.60 Lm: 6.516 (6.498) Lt: 5.725 (5.753) Accm: 3.37 (3.35) Acct: 5.30 (5.27) proj_loss: -0.6055 (-0.6092) time: 0.4886 data: 0.0016
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.60 Lm: 6.505 (6.501) Lt: 5.744 (5.764) Accm: 3.55 (3.41) Acct: 5.54 (5.35) proj_loss: -0.6065 (-0.6074) time: 0.4886 data: 0.0014
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 316/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.60 Lm: 6.492 (6.496) Lt: 5.790 (5.748) Accm: 3.29 (3.32) Acct: 5.13 (5.27) proj_loss: -0.5962 (-0.6023) time: 0.4886 data: 0.0019
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 316/350] Total time: 0:14:05 (0.506 s / it)
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 316/350] Total time: 0:14:05 (0.506 s / it)
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 316/350] Total time: 0:14:05 (0.506 s / it)
[11-26 02:01:07] (/home/user/VAR/train.py , line 276)=> [ep316] (training ) Lm: 6.526 (6.534), Lt: 5.778 (5.797), Acc m&t: 3.35 5.27, Remain: 7:34:37, Finish: 2024-11-25 17:35
[11-26 02:01:07] (/home/user/VAR/train.py , line 276)=> [ep316] (training ) Lm: 6.526 (6.534), Lt: 5.778 (5.797), Acc m&t: 3.35 5.27, Remain: 7:34:22, Finish: 2024-11-25 17:35
[11-26 02:01:07] (/home/user/VAR/train.py , line 276)=> [ep316] (training ) Lm: 6.526 (6.534), Lt: 5.778 (5.797), Acc m&t: 3.35 5.27, Remain: 7:34:16, Finish: 2024-11-25 17:35
[11-26 02:01:07] (/home/user/VAR/train.py , line 276)=> [ep316] (training ) Lm: 6.526 (6.534), Lt: 5.778 (5.797), Acc m&t: 3.35 5.27, Remain: 7:34:11, Finish: 2024-11-25 17:35
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 0/1669] eta: 0:13:01 tlr: 2.6e-05 tnm: 0.61 Lm: 6.529 (6.529) Lt: 5.811 (5.811) Accm: 3.53 (3.53) Acct: 5.48 (5.48) proj_loss: -0.6223 (-0.6223) time: 0.4680 data: 0.0003
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 0/1669] eta: 0:13:02 tlr: 2.6e-05 tnm: 0.61 Lm: 6.530 (6.530) Lt: 5.768 (5.768) Accm: 3.24 (3.24) Acct: 5.25 (5.25) proj_loss: -0.5929 (-0.5929) time: 0.4687 data: 0.0004
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 0/1669] eta: 0:13:02 tlr: 2.6e-05 tnm: 0.61 Lm: 6.569 (6.569) Lt: 5.817 (5.817) Accm: 3.26 (3.26) Acct: 5.15 (5.15) proj_loss: -0.6123 (-0.6123) time: 0.4687 data: 0.0004
[11-26 02:01:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 0/1669] eta: 0:13:03 tlr: 2.6e-05 tnm: 0.61 Lm: 6.365 (6.365) Lt: 5.609 (5.609) Accm: 3.90 (3.90) Acct: 6.13 (6.13) proj_loss: -0.5831 (-0.5831) time: 0.4693 data: 0.0004
[11-26 02:04:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 417/1669] eta: 0:10:44 tlr: 2.6e-05 tnm: 0.61 Lm: 6.350 (6.350) Lt: 5.582 (5.582) Accm: 4.08 (4.08) Acct: 6.51 (6.51) proj_loss: -0.5947 (-0.5947) time: 0.4884 data: 0.0003
[11-26 02:04:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 417/1669] eta: 0:10:44 tlr: 2.6e-05 tnm: 0.61 Lm: 6.463 (6.463) Lt: 5.690 (5.690) Accm: 3.56 (3.56) Acct: 5.66 (5.66) proj_loss: -0.5963 (-0.5963) time: 0.4884 data: 0.0003
[11-26 02:04:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 417/1669] eta: 0:10:44 tlr: 2.6e-05 tnm: 0.61 Lm: 6.513 (6.513) Lt: 5.776 (5.776) Accm: 3.33 (3.33) Acct: 5.31 (5.31) proj_loss: -0.6087 (-0.6087) time: 0.4884 data: 0.0003
[11-26 02:04:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 417/1669] eta: 0:10:44 tlr: 2.6e-05 tnm: 0.61 Lm: 6.504 (6.504) Lt: 5.780 (5.780) Accm: 3.35 (3.35) Acct: 5.24 (5.24) proj_loss: -0.6210 (-0.6210) time: 0.4884 data: 0.0003
[11-26 02:08:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 834/1669] eta: 0:07:15 tlr: 2.6e-05 tnm: 0.60 Lm: 6.479 (6.481) Lt: 5.749 (5.751) Accm: 3.41 (3.37) Acct: 5.48 (5.36) proj_loss: -0.6197 (-0.6092) time: 0.4922 data: 0.0003
[11-26 02:08:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 834/1669] eta: 0:07:15 tlr: 2.6e-05 tnm: 0.60 Lm: 6.435 (6.453) Lt: 5.758 (5.713) Accm: 3.42 (3.51) Acct: 5.25 (5.52) proj_loss: -0.5997 (-0.6048) time: 0.4922 data: 0.0003
[11-26 02:08:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 834/1669] eta: 0:07:15 tlr: 2.6e-05 tnm: 0.60 Lm: 6.365 (6.432) Lt: 5.609 (5.678) Accm: 3.90 (3.84) Acct: 6.13 (6.01) proj_loss: -0.5850 (-0.5915) time: 0.4922 data: 0.0003
[11-26 02:08:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [ 834/1669] eta: 0:07:15 tlr: 2.6e-05 tnm: 0.60 Lm: 6.484 (6.503) Lt: 5.775 (5.776) Accm: 3.37 (3.34) Acct: 5.17 (5.26) proj_loss: -0.6123 (-0.6143) time: 0.4922 data: 0.0003
[11-26 02:11:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1251/1669] eta: 0:03:36 tlr: 2.6e-05 tnm: 0.60 Lm: 6.471 (6.484) Lt: 5.757 (5.767) Accm: 3.38 (3.43) Acct: 5.32 (5.37) proj_loss: -0.6090 (-0.6122) time: 0.5412 data: 0.0003
[11-26 02:11:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1251/1669] eta: 0:03:36 tlr: 2.6e-05 tnm: 0.60 Lm: 6.415 (6.438) Lt: 5.685 (5.688) Accm: 3.49 (3.52) Acct: 5.43 (5.54) proj_loss: -0.6026 (-0.6050) time: 0.5412 data: 0.0003
[11-26 02:11:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1251/1669] eta: 0:03:36 tlr: 2.6e-05 tnm: 0.60 Lm: 6.480 (6.510) Lt: 5.740 (5.764) Accm: 3.64 (3.56) Acct: 5.57 (5.59) proj_loss: -0.5956 (-0.5977) time: 0.5412 data: 0.0003
[11-26 02:11:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1251/1669] eta: 0:03:36 tlr: 2.6e-05 tnm: 0.60 Lm: 6.504 (6.504) Lt: 5.780 (5.780) Accm: 3.29 (3.30) Acct: 5.24 (5.27) proj_loss: -0.6068 (-0.6054) time: 0.5412 data: 0.0003
[11-26 02:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.59 Lm: 6.508 (6.504) Lt: 5.811 (5.787) Accm: 3.22 (3.28) Acct: 5.06 (5.23) proj_loss: -0.6035 (-0.6050) time: 0.4898 data: 0.0017
[11-26 02:15:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 317/350] Total time: 0:14:14 (0.512 s / it)
[11-26 02:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.59 Lm: 6.531 (6.514) Lt: 5.784 (5.768) Accm: 3.37 (3.47) Acct: 5.01 (5.43) proj_loss: -0.6063 (-0.5996) time: 0.4898 data: 0.0020
[11-26 02:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.59 Lm: 6.478 (6.482) Lt: 5.739 (5.750) Accm: 3.37 (3.40) Acct: 5.30 (5.35) proj_loss: -0.6057 (-0.6094) time: 0.4898 data: 0.0016
[11-26 02:15:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 317/350] [1668/1669] eta: 0:00:00 tlr: 2.6e-05 tnm: 0.59 Lm: 6.435 (6.446) Lt: 5.758 (5.704) Accm: 3.42 (3.49) Acct: 5.25 (5.48) proj_loss: -0.6056 (-0.6106) time: 0.4898 data: 0.0017
[11-26 02:15:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 317/350] Total time: 0:14:14 (0.512 s / it)
[11-26 02:15:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 317/350] Total time: 0:14:14 (0.512 s / it)
[11-26 02:15:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 317/350] Total time: 0:14:14 (0.512 s / it)
[11-26 02:15:21] (/home/user/VAR/train.py , line 276)=> [ep317] (training ) Lm: 6.526 (6.526), Lt: 5.778 (5.785), Acc m&t: 3.35 5.27, Remain: 7:20:57, Finish: 2024-11-25 17:36
[11-26 02:15:21] (/home/user/VAR/train.py , line 276)=> [ep317] (training ) Lm: 6.526 (6.526), Lt: 5.778 (5.785), Acc m&t: 3.35 5.27, Remain: 7:20:54, Finish: 2024-11-25 17:36
[11-26 02:15:21] (/home/user/VAR/train.py , line 276)=> [ep317] (training ) Lm: 6.526 (6.526), Lt: 5.778 (5.785), Acc m&t: 3.35 5.27, Remain: 7:20:57, Finish: 2024-11-25 17:36
[11-26 02:15:21] (/home/user/VAR/train.py , line 276)=> [ep317] (training ) Lm: 6.526 (6.526), Lt: 5.778 (5.785), Acc m&t: 3.35 5.27, Remain: 7:20:56, Finish: 2024-11-25 17:36
[11-26 02:15:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 0/1669] eta: 0:12:53 tlr: 2.6e-05 tnm: 0.61 Lm: 6.416 (6.416) Lt: 5.637 (5.637) Accm: 3.44 (3.44) Acct: 5.72 (5.72) proj_loss: -0.6154 (-0.6154) time: 0.4632 data: 0.0004
[11-26 02:15:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 0/1669] eta: 0:12:52 tlr: 2.6e-05 tnm: 0.61 Lm: 6.535 (6.535) Lt: 5.732 (5.732) Accm: 3.19 (3.19) Acct: 5.17 (5.17) proj_loss: -0.6041 (-0.6041) time: 0.4631 data: 0.0004
[11-26 02:15:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 0/1669] eta: 0:12:52 tlr: 2.6e-05 tnm: 0.61 Lm: 6.448 (6.448) Lt: 5.653 (5.653) Accm: 3.47 (3.47) Acct: 5.68 (5.68) proj_loss: -0.5851 (-0.5851) time: 0.4629 data: 0.0004
[11-26 02:15:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 0/1669] eta: 0:12:53 tlr: 2.6e-05 tnm: 0.61 Lm: 6.457 (6.457) Lt: 5.667 (5.667) Accm: 3.53 (3.53) Acct: 5.51 (5.51) proj_loss: -0.6122 (-0.6122) time: 0.4632 data: 0.0003
[11-26 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 417/1669] eta: 0:10:18 tlr: 2.6e-05 tnm: 0.62 Lm: 6.509 (6.509) Lt: 5.725 (5.725) Accm: 3.42 (3.42) Acct: 5.43 (5.43) proj_loss: -0.5934 (-0.5934) time: 0.4926 data: 0.0003
[11-26 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 417/1669] eta: 0:10:18 tlr: 2.6e-05 tnm: 0.62 Lm: 6.482 (6.482) Lt: 5.701 (5.701) Accm: 3.48 (3.48) Acct: 5.47 (5.47) proj_loss: -0.6014 (-0.6014) time: 0.4926 data: 0.0003
[11-26 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 417/1669] eta: 0:10:18 tlr: 2.6e-05 tnm: 0.62 Lm: 6.447 (6.447) Lt: 5.692 (5.692) Accm: 3.49 (3.49) Acct: 5.54 (5.54) proj_loss: -0.6087 (-0.6087) time: 0.4926 data: 0.0003
[11-26 02:18:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 417/1669] eta: 0:10:18 tlr: 2.6e-05 tnm: 0.62 Lm: 6.498 (6.498) Lt: 5.753 (5.753) Accm: 3.34 (3.34) Acct: 5.24 (5.24) proj_loss: -0.5974 (-0.5974) time: 0.4926 data: 0.0003
[11-26 02:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 834/1669] eta: 0:07:04 tlr: 2.5e-05 tnm: 0.60 Lm: 6.526 (6.507) Lt: 5.811 (5.772) Accm: 3.24 (3.31) Acct: 4.82 (5.10) proj_loss: -0.6098 (-0.6031) time: 0.5418 data: 0.0003
[11-26 02:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 834/1669] eta: 0:07:04 tlr: 2.5e-05 tnm: 0.60 Lm: 6.535 (6.522) Lt: 5.732 (5.752) Accm: 3.19 (3.36) Acct: 5.17 (5.34) proj_loss: -0.6041 (-0.6040) time: 0.5418 data: 0.0003
[11-26 02:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 834/1669] eta: 0:07:04 tlr: 2.5e-05 tnm: 0.60 Lm: 6.477 (6.461) Lt: 5.748 (5.735) Accm: 3.44 (3.41) Acct: 5.37 (5.30) proj_loss: -0.6154 (-0.6149) time: 0.5418 data: 0.0003
[11-26 02:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [ 834/1669] eta: 0:07:04 tlr: 2.5e-05 tnm: 0.60 Lm: 6.457 (6.451) Lt: 5.667 (5.674) Accm: 3.53 (3.62) Acct: 5.51 (5.66) proj_loss: -0.5985 (-0.5951) time: 0.5418 data: 0.0003
[11-26 02:25:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1251/1669] eta: 0:03:32 tlr: 2.5e-05 tnm: 0.60 Lm: 6.489 (6.469) Lt: 5.725 (5.717) Accm: 3.42 (3.46) Acct: 5.43 (5.44) proj_loss: -0.6053 (-0.6002) time: 0.4910 data: 0.0003
[11-26 02:25:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1251/1669] eta: 0:03:32 tlr: 2.5e-05 tnm: 0.60 Lm: 6.536 (6.531) Lt: 5.831 (5.810) Accm: 3.22 (3.21) Acct: 4.81 (4.92) proj_loss: -0.6071 (-0.6034) time: 0.4910 data: 0.0003
[11-26 02:25:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1251/1669] eta: 0:03:32 tlr: 2.5e-05 tnm: 0.60 Lm: 6.568 (6.553) Lt: 5.793 (5.807) Accm: 3.16 (3.24) Acct: 5.13 (5.16) proj_loss: -0.6066 (-0.6091) time: 0.4910 data: 0.0003
[11-26 02:25:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1251/1669] eta: 0:03:32 tlr: 2.5e-05 tnm: 0.60 Lm: 6.479 (6.466) Lt: 5.744 (5.736) Accm: 3.49 (3.44) Acct: 5.30 (5.28) proj_loss: -0.6094 (-0.6120) time: 0.4910 data: 0.0003
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1668/1669] eta: 0:00:00 tlr: 2.5e-05 tnm: 0.60 Lm: 6.482 (6.479) Lt: 5.739 (5.735) Accm: 3.44 (3.40) Acct: 5.30 (5.29) proj_loss: -0.6034 (-0.6088) time: 0.5403 data: 0.0015
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 318/350] Total time: 0:14:10 (0.510 s / it)
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1668/1669] eta: 0:00:00 tlr: 2.5e-05 tnm: 0.60 Lm: 6.535 (6.531) Lt: 5.732 (5.780) Accm: 3.19 (3.29) Acct: 5.17 (5.22) proj_loss: -0.6041 (-0.6080) time: 0.5402 data: 0.0015
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1668/1669] eta: 0:00:00 tlr: 2.5e-05 tnm: 0.60 Lm: 6.520 (6.505) Lt: 5.783 (5.760) Accm: 3.30 (3.38) Acct: 5.35 (5.30) proj_loss: -0.5985 (-0.5982) time: 0.5403 data: 0.0020
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 318/350] [1668/1669] eta: 0:00:00 tlr: 2.5e-05 tnm: 0.60 Lm: 6.547 (6.569) Lt: 5.852 (5.836) Accm: 3.21 (3.16) Acct: 4.80 (4.86) proj_loss: -0.6044 (-0.6002) time: 0.5403 data: 0.0018
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 318/350] Total time: 0:14:10 (0.510 s / it)
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 318/350] Total time: 0:14:10 (0.510 s / it)
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 318/350] Total time: 0:14:10 (0.510 s / it)
[11-26 02:29:32] (/home/user/VAR/train.py , line 276)=> [ep318] (training ) Lm: 6.517 (6.517), Lt: 5.770 (5.770), Acc m&t: 3.37 5.29, Remain: 7:08:55, Finish: 2024-11-25 17:38
[11-26 02:29:32] (/home/user/VAR/train.py , line 276)=> [ep318] (training ) Lm: 6.517 (6.517), Lt: 5.770 (5.770), Acc m&t: 3.37 5.29, Remain: 7:08:50, Finish: 2024-11-25 17:38
[11-26 02:29:32] (/home/user/VAR/train.py , line 276)=> [ep318] (training ) Lm: 6.517 (6.517), Lt: 5.770 (5.770), Acc m&t: 3.37 5.29, Remain: 7:09:01, Finish: 2024-11-25 17:38
[11-26 02:29:32] (/home/user/VAR/train.py , line 276)=> [ep318] (training ) Lm: 6.517 (6.517), Lt: 5.770 (5.770), Acc m&t: 3.37 5.29, Remain: 7:09:02, Finish: 2024-11-25 17:38
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 0/1669] eta: 0:13:05 tlr: 2.5e-05 tnm: 0.60 Lm: 6.554 (6.554) Lt: 5.781 (5.781) Accm: 3.38 (3.38) Acct: 5.34 (5.34) proj_loss: -0.6012 (-0.6012) time: 0.4707 data: 0.0004
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 0/1669] eta: 0:13:09 tlr: 2.5e-05 tnm: 0.60 Lm: 6.451 (6.451) Lt: 5.716 (5.716) Accm: 3.21 (3.21) Acct: 4.67 (4.67) proj_loss: -0.6319 (-0.6319) time: 0.4733 data: 0.0004
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 0/1669] eta: 0:13:09 tlr: 2.5e-05 tnm: 0.60 Lm: 6.542 (6.542) Lt: 5.782 (5.782) Accm: 3.44 (3.44) Acct: 5.61 (5.61) proj_loss: -0.6204 (-0.6204) time: 0.4733 data: 0.0003
[11-26 02:29:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 0/1669] eta: 0:13:16 tlr: 2.5e-05 tnm: 0.60 Lm: 6.514 (6.514) Lt: 5.718 (5.718) Accm: 3.19 (3.19) Acct: 5.15 (5.15) proj_loss: -0.6004 (-0.6004) time: 0.4775 data: 0.0003
[11-26 02:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 417/1669] eta: 0:10:41 tlr: 2.5e-05 tnm: 0.62 Lm: 6.435 (6.435) Lt: 5.651 (5.651) Accm: 3.51 (3.51) Acct: 5.61 (5.61) proj_loss: -0.6022 (-0.6022) time: 0.4892 data: 0.0004
[11-26 02:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 417/1669] eta: 0:10:41 tlr: 2.5e-05 tnm: 0.62 Lm: 6.541 (6.541) Lt: 5.761 (5.761) Accm: 3.48 (3.48) Acct: 5.64 (5.64) proj_loss: -0.6018 (-0.6018) time: 0.4892 data: 0.0003
[11-26 02:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 417/1669] eta: 0:10:41 tlr: 2.5e-05 tnm: 0.62 Lm: 6.471 (6.471) Lt: 5.720 (5.720) Accm: 3.34 (3.34) Acct: 5.12 (5.12) proj_loss: -0.6227 (-0.6227) time: 0.4892 data: 0.0003
[11-26 02:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 417/1669] eta: 0:10:41 tlr: 2.5e-05 tnm: 0.62 Lm: 6.539 (6.539) Lt: 5.768 (5.768) Accm: 3.17 (3.17) Acct: 5.04 (5.04) proj_loss: -0.5998 (-0.5998) time: 0.4893 data: 0.0003
[11-26 02:36:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 834/1669] eta: 0:07:01 tlr: 2.5e-05 tnm: 0.60 Lm: 6.541 (6.539) Lt: 5.781 (5.787) Accm: 3.15 (3.16) Acct: 5.10 (5.06) proj_loss: -0.5984 (-0.5985) time: 0.4891 data: 0.0003
[11-26 02:36:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 834/1669] eta: 0:07:01 tlr: 2.5e-05 tnm: 0.60 Lm: 6.542 (6.584) Lt: 5.782 (5.810) Accm: 3.44 (3.39) Acct: 5.61 (5.46) proj_loss: -0.6140 (-0.6059) time: 0.4891 data: 0.0003
[11-26 02:36:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 834/1669] eta: 0:07:01 tlr: 2.5e-05 tnm: 0.60 Lm: 6.429 (6.433) Lt: 5.696 (5.666) Accm: 3.60 (3.54) Acct: 5.48 (5.57) proj_loss: -0.6004 (-0.5989) time: 0.4891 data: 0.0003
[11-26 02:36:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [ 834/1669] eta: 0:07:01 tlr: 2.5e-05 tnm: 0.60 Lm: 6.491 (6.527) Lt: 5.724 (5.794) Accm: 3.21 (3.26) Acct: 4.92 (5.06) proj_loss: -0.6147 (-0.6200) time: 0.4891 data: 0.0003
[11-26 02:40:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1251/1669] eta: 0:03:30 tlr: 2.4e-05 tnm: 0.61 Lm: 6.549 (6.547) Lt: 5.798 (5.814) Accm: 3.22 (3.26) Acct: 5.00 (5.06) proj_loss: -0.6141 (-0.6126) time: 0.5434 data: 0.0003
[11-26 02:40:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1251/1669] eta: 0:03:30 tlr: 2.4e-05 tnm: 0.61 Lm: 6.532 (6.534) Lt: 5.768 (5.778) Accm: 3.15 (3.16) Acct: 5.14 (5.09) proj_loss: -0.5988 (-0.5987) time: 0.5434 data: 0.0003
[11-26 02:40:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1251/1669] eta: 0:03:30 tlr: 2.4e-05 tnm: 0.61 Lm: 6.541 (6.567) Lt: 5.761 (5.782) Accm: 3.48 (3.43) Acct: 5.63 (5.51) proj_loss: -0.6057 (-0.6038) time: 0.5434 data: 0.0003
[11-26 02:40:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1251/1669] eta: 0:03:30 tlr: 2.4e-05 tnm: 0.61 Lm: 6.471 (6.455) Lt: 5.707 (5.681) Accm: 3.43 (3.47) Acct: 5.35 (5.48) proj_loss: -0.5988 (-0.5985) time: 0.5434 data: 0.0003
[11-26 02:43:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.60 Lm: 6.514 (6.469) Lt: 5.718 (5.709) Accm: 3.26 (3.40) Acct: 5.22 (5.30) proj_loss: -0.6004 (-0.5991) time: 0.4922 data: 0.0017
[11-26 02:43:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 319/350] Total time: 0:13:59 (0.503 s / it)
[11-26 02:43:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.60 Lm: 6.491 (6.523) Lt: 5.724 (5.769) Accm: 3.24 (3.30) Acct: 5.08 (5.19) proj_loss: -0.6135 (-0.6082) time: 0.4922 data: 0.0016
[11-26 02:43:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.60 Lm: 6.524 (6.493) Lt: 5.754 (5.741) Accm: 3.16 (3.31) Acct: 5.18 (5.28) proj_loss: -0.5993 (-0.5993) time: 0.4922 data: 0.0013
[11-26 02:43:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 319/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.60 Lm: 6.540 (6.554) Lt: 5.740 (5.772) Accm: 3.44 (3.43) Acct: 5.61 (5.51) proj_loss: -0.5974 (-0.6012) time: 0.4922 data: 0.0022
[11-26 02:43:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 319/350] Total time: 0:13:59 (0.503 s / it)
[11-26 02:43:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 319/350] Total time: 0:13:59 (0.503 s / it)
[11-26 02:43:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 319/350] Total time: 0:13:59 (0.503 s / it)
[11-26 02:45:52] (home/user/VAR/trainer.py, line 114)=> FID: 3.1477618099290794
[11-26 02:45:53] (/home/user/VAR/train.py , line 259)=> [*] [ep319] (val 50000) Lm: 6.5214, Lt: 5.7722, Acc m&t: 3.34 5.27, Val cost: 140.67s
[11-26 02:45:53] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-26 02:46:21] (/home/user/VAR/train.py , line 276)=> [ep319] (training ) Lm: 6.517 (6.521), Lt: 5.770 (5.772), Acc m&t: 3.37 5.29, Remain: 6:55:10, Finish: 2024-11-25 17:38
[11-26 02:46:21] (/home/user/VAR/train.py , line 276)=> [ep319] (training ) Lm: 6.517 (6.521), Lt: 5.770 (5.772), Acc m&t: 3.37 5.29, Remain: 6:55:18, Finish: 2024-11-25 17:38
[11-26 02:46:21] (/home/user/VAR/train.py , line 276)=> [ep319] (training ) Lm: 6.517 (6.521), Lt: 5.770 (5.772), Acc m&t: 3.37 5.29, Remain: 6:55:10, Finish: 2024-11-25 17:38
[11-26 02:46:21] (/home/user/VAR/train.py , line 276)=> [ep319] (training ) Lm: 6.517 (6.521), Lt: 5.770 (5.772), Acc m&t: 3.37 5.29, Remain: 6:55:04, Finish: 2024-11-25 17:38
[11-26 02:46:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 0/1669] eta: 0:13:38 tlr: 2.4e-05 tnm: 0.59 Lm: 6.591 (6.591) Lt: 5.848 (5.848) Accm: 3.25 (3.25) Acct: 4.99 (4.99) proj_loss: -0.6186 (-0.6186) time: 0.4906 data: 0.0004
[11-26 02:46:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 0/1669] eta: 0:13:38 tlr: 2.4e-05 tnm: 0.59 Lm: 6.572 (6.572) Lt: 5.820 (5.820) Accm: 3.22 (3.22) Acct: 5.35 (5.35) proj_loss: -0.5995 (-0.5995) time: 0.4904 data: 0.0004
[11-26 02:46:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 0/1669] eta: 0:13:38 tlr: 2.4e-05 tnm: 0.59 Lm: 6.427 (6.427) Lt: 5.630 (5.630) Accm: 3.52 (3.52) Acct: 5.77 (5.77) proj_loss: -0.5960 (-0.5960) time: 0.4905 data: 0.0004
[11-26 02:46:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 0/1669] eta: 0:13:38 tlr: 2.4e-05 tnm: 0.59 Lm: 6.399 (6.399) Lt: 5.732 (5.732) Accm: 3.60 (3.60) Acct: 5.22 (5.22) proj_loss: -0.6323 (-0.6323) time: 0.4902 data: 0.0003
[11-26 02:50:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 417/1669] eta: 0:11:05 tlr: 2.4e-05 tnm: 0.60 Lm: 6.429 (6.429) Lt: 5.718 (5.718) Accm: 3.57 (3.57) Acct: 5.48 (5.48) proj_loss: -0.6172 (-0.6172) time: 0.5916 data: 0.0003
[11-26 02:50:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 417/1669] eta: 0:11:05 tlr: 2.4e-05 tnm: 0.60 Lm: 6.471 (6.471) Lt: 5.703 (5.703) Accm: 3.59 (3.59) Acct: 5.65 (5.65) proj_loss: -0.5989 (-0.5989) time: 0.5916 data: 0.0003
[11-26 02:50:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 417/1669] eta: 0:11:05 tlr: 2.4e-05 tnm: 0.60 Lm: 6.532 (6.532) Lt: 5.794 (5.794) Accm: 3.41 (3.41) Acct: 5.53 (5.53) proj_loss: -0.5962 (-0.5962) time: 0.5916 data: 0.0003
[11-26 02:50:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 417/1669] eta: 0:11:05 tlr: 2.4e-05 tnm: 0.60 Lm: 6.473 (6.473) Lt: 5.722 (5.722) Accm: 3.49 (3.49) Acct: 5.53 (5.53) proj_loss: -0.6154 (-0.6154) time: 0.5916 data: 0.0003
[11-26 02:53:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 834/1669] eta: 0:07:16 tlr: 2.4e-05 tnm: 0.62 Lm: 6.490 (6.479) Lt: 5.748 (5.731) Accm: 3.29 (3.42) Acct: 5.23 (5.43) proj_loss: -0.6186 (-0.6180) time: 0.4890 data: 0.0003
[11-26 02:53:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 834/1669] eta: 0:07:16 tlr: 2.4e-05 tnm: 0.62 Lm: 6.493 (6.519) Lt: 5.781 (5.790) Accm: 3.25 (3.36) Acct: 5.35 (5.26) proj_loss: -0.5995 (-0.6013) time: 0.4890 data: 0.0003
[11-26 02:53:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 834/1669] eta: 0:07:16 tlr: 2.4e-05 tnm: 0.62 Lm: 6.432 (6.430) Lt: 5.703 (5.694) Accm: 3.55 (3.56) Acct: 5.49 (5.48) proj_loss: -0.6022 (-0.6122) time: 0.4890 data: 0.0003
[11-26 02:53:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [ 834/1669] eta: 0:07:16 tlr: 2.4e-05 tnm: 0.62 Lm: 6.516 (6.555) Lt: 5.776 (5.798) Accm: 3.52 (3.21) Acct: 5.53 (5.00) proj_loss: -0.6019 (-0.6072) time: 0.4890 data: 0.0003
[11-26 02:57:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1251/1669] eta: 0:03:36 tlr: 2.4e-05 tnm: 0.61 Lm: 6.471 (6.517) Lt: 5.716 (5.762) Accm: 3.59 (3.33) Acct: 5.65 (5.23) proj_loss: -0.6056 (-0.6077) time: 0.4885 data: 0.0003
[11-26 02:57:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1251/1669] eta: 0:03:36 tlr: 2.4e-05 tnm: 0.61 Lm: 6.532 (6.570) Lt: 5.800 (5.837) Accm: 3.23 (3.26) Acct: 5.08 (5.15) proj_loss: -0.6046 (-0.6034) time: 0.4885 data: 0.0003
[11-26 02:57:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1251/1669] eta: 0:03:36 tlr: 2.4e-05 tnm: 0.61 Lm: 6.445 (6.442) Lt: 5.714 (5.702) Accm: 3.55 (3.54) Acct: 5.53 (5.50) proj_loss: -0.6070 (-0.6121) time: 0.4885 data: 0.0003
[11-26 02:57:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1251/1669] eta: 0:03:36 tlr: 2.4e-05 tnm: 0.61 Lm: 6.532 (6.503) Lt: 5.797 (5.760) Accm: 3.32 (3.40) Acct: 5.26 (5.39) proj_loss: -0.6209 (-0.6203) time: 0.4885 data: 0.0003
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.61 Lm: 6.557 (6.513) Lt: 5.842 (5.776) Accm: 3.29 (3.36) Acct: 5.23 (5.31) proj_loss: -0.6186 (-0.6135) time: 0.4906 data: 0.0017
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 320/350] Total time: 0:14:13 (0.512 s / it)
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.61 Lm: 6.458 (6.472) Lt: 5.725 (5.736) Accm: 3.54 (3.46) Acct: 5.49 (5.35) proj_loss: -0.6119 (-0.6140) time: 0.4906 data: 0.0013
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.61 Lm: 6.572 (6.584) Lt: 5.820 (5.857) Accm: 3.22 (3.15) Acct: 4.80 (4.97) proj_loss: -0.6039 (-0.6035) time: 0.4906 data: 0.0019
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 320/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-05 tnm: 0.61 Lm: 6.447 (6.503) Lt: 5.696 (5.749) Accm: 3.55 (3.37) Acct: 5.77 (5.34) proj_loss: -0.6031 (-0.6068) time: 0.4906 data: 0.0019
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 320/350] Total time: 0:14:13 (0.512 s / it)
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 320/350] Total time: 0:14:13 (0.512 s / it)
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 320/350] Total time: 0:14:13 (0.512 s / it)
[11-26 03:00:35] (/home/user/VAR/train.py , line 276)=> [ep320] (training ) Lm: 6.517 (6.531), Lt: 5.770 (5.786), Acc m&t: 3.37 5.29, Remain: 6:38:50, Finish: 2024-11-25 17:39
[11-26 03:00:35] (/home/user/VAR/train.py , line 276)=> [ep320] (training ) Lm: 6.517 (6.531), Lt: 5.770 (5.786), Acc m&t: 3.37 5.29, Remain: 6:38:57, Finish: 2024-11-25 17:39
[11-26 03:00:35] (/home/user/VAR/train.py , line 276)=> [ep320] (training ) Lm: 6.517 (6.531), Lt: 5.770 (5.786), Acc m&t: 3.37 5.29, Remain: 6:38:57, Finish: 2024-11-25 17:39
[11-26 03:00:35] (/home/user/VAR/train.py , line 276)=> [ep320] (training ) Lm: 6.517 (6.531), Lt: 5.770 (5.786), Acc m&t: 3.37 5.29, Remain: 6:38:54, Finish: 2024-11-25 17:39
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 0/1669] eta: 0:12:56 tlr: 2.4e-05 tnm: 0.60 Lm: 6.478 (6.478) Lt: 5.693 (5.693) Accm: 3.26 (3.26) Acct: 5.29 (5.29) proj_loss: -0.5875 (-0.5875) time: 0.4654 data: 0.0003
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 0/1669] eta: 0:12:45 tlr: 2.4e-05 tnm: 0.60 Lm: 6.445 (6.445) Lt: 5.696 (5.696) Accm: 3.53 (3.53) Acct: 5.46 (5.46) proj_loss: -0.6289 (-0.6289) time: 0.4587 data: 0.0004
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 0/1669] eta: 0:12:45 tlr: 2.4e-05 tnm: 0.60 Lm: 6.389 (6.389) Lt: 5.659 (5.659) Accm: 3.69 (3.69) Acct: 5.58 (5.58) proj_loss: -0.6299 (-0.6299) time: 0.4585 data: 0.0004
[11-26 03:00:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 0/1669] eta: 0:12:46 tlr: 2.4e-05 tnm: 0.60 Lm: 6.479 (6.479) Lt: 5.715 (5.715) Accm: 3.65 (3.65) Acct: 5.91 (5.91) proj_loss: -0.6367 (-0.6367) time: 0.4593 data: 0.0004
[11-26 03:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 417/1669] eta: 0:10:22 tlr: 2.3e-05 tnm: 0.62 Lm: 6.457 (6.457) Lt: 5.713 (5.713) Accm: 3.64 (3.64) Acct: 5.83 (5.83) proj_loss: -0.6160 (-0.6160) time: 0.4890 data: 0.0003
[11-26 03:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 417/1669] eta: 0:10:22 tlr: 2.3e-05 tnm: 0.62 Lm: 6.512 (6.512) Lt: 5.775 (5.775) Accm: 3.42 (3.42) Acct: 5.26 (5.26) proj_loss: -0.6166 (-0.6166) time: 0.4891 data: 0.0003
[11-26 03:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 417/1669] eta: 0:10:22 tlr: 2.3e-05 tnm: 0.62 Lm: 6.521 (6.521) Lt: 5.747 (5.747) Accm: 3.39 (3.39) Acct: 5.36 (5.36) proj_loss: -0.6061 (-0.6061) time: 0.4891 data: 0.0003
[11-26 03:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 417/1669] eta: 0:10:22 tlr: 2.3e-05 tnm: 0.62 Lm: 6.503 (6.503) Lt: 5.718 (5.718) Accm: 3.23 (3.23) Acct: 5.26 (5.26) proj_loss: -0.5925 (-0.5925) time: 0.4891 data: 0.0003
[11-26 03:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 834/1669] eta: 0:07:07 tlr: 2.3e-05 tnm: 0.61 Lm: 6.527 (6.523) Lt: 5.743 (5.741) Accm: 3.26 (3.28) Acct: 5.23 (5.23) proj_loss: -0.5975 (-0.5997) time: 0.5902 data: 0.0003
[11-26 03:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 834/1669] eta: 0:07:07 tlr: 2.3e-05 tnm: 0.61 Lm: 6.500 (6.514) Lt: 5.756 (5.750) Accm: 3.28 (3.35) Acct: 5.27 (5.30) proj_loss: -0.6238 (-0.6120) time: 0.5902 data: 0.0003
[11-26 03:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 834/1669] eta: 0:07:07 tlr: 2.3e-05 tnm: 0.61 Lm: 6.479 (6.494) Lt: 5.715 (5.757) Accm: 3.63 (3.46) Acct: 5.75 (5.47) proj_loss: -0.6088 (-0.6136) time: 0.5902 data: 0.0003
[11-26 03:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [ 834/1669] eta: 0:07:07 tlr: 2.3e-05 tnm: 0.61 Lm: 6.420 (6.481) Lt: 5.689 (5.746) Accm: 3.69 (3.54) Acct: 5.58 (5.46) proj_loss: -0.6295 (-0.6209) time: 0.5902 data: 0.0003
[11-26 03:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1251/1669] eta: 0:03:32 tlr: 2.3e-05 tnm: 0.61 Lm: 6.405 (6.459) Lt: 5.674 (5.708) Accm: 3.73 (3.64) Acct: 5.72 (5.60) proj_loss: -0.6164 (-0.6130) time: 0.4895 data: 0.0003
[11-26 03:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1251/1669] eta: 0:03:32 tlr: 2.3e-05 tnm: 0.61 Lm: 6.523 (6.522) Lt: 5.780 (5.796) Accm: 3.40 (3.39) Acct: 5.43 (5.38) proj_loss: -0.6020 (-0.6088) time: 0.4895 data: 0.0004
[11-26 03:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1251/1669] eta: 0:03:32 tlr: 2.3e-05 tnm: 0.61 Lm: 6.545 (6.548) Lt: 5.766 (5.775) Accm: 3.28 (3.29) Acct: 5.26 (5.34) proj_loss: -0.6040 (-0.6024) time: 0.4895 data: 0.0003
[11-26 03:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1251/1669] eta: 0:03:32 tlr: 2.3e-05 tnm: 0.61 Lm: 6.475 (6.498) Lt: 5.740 (5.743) Accm: 3.40 (3.42) Acct: 5.36 (5.47) proj_loss: -0.6103 (-0.6082) time: 0.4895 data: 0.0003
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1668/1669] eta: 0:00:00 tlr: 2.3e-05 tnm: 0.62 Lm: 6.500 (6.510) Lt: 5.756 (5.752) Accm: 3.28 (3.37) Acct: 5.27 (5.42) proj_loss: -0.6144 (-0.6094) time: 0.5990 data: 0.0018
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 321/350] Total time: 0:14:14 (0.512 s / it)
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1668/1669] eta: 0:00:00 tlr: 2.3e-05 tnm: 0.62 Lm: 6.391 (6.443) Lt: 5.659 (5.692) Accm: 3.77 (3.68) Acct: 5.87 (5.69) proj_loss: -0.6033 (-0.6097) time: 0.5990 data: 0.0016
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1668/1669] eta: 0:00:00 tlr: 2.3e-05 tnm: 0.62 Lm: 6.568 (6.549) Lt: 5.845 (5.828) Accm: 3.17 (3.32) Acct: 5.11 (5.25) proj_loss: -0.6088 (-0.6098) time: 0.5990 data: 0.0017
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 321/350] [1668/1669] eta: 0:00:00 tlr: 2.3e-05 tnm: 0.62 Lm: 6.563 (6.556) Lt: 5.788 (5.799) Accm: 3.26 (3.26) Acct: 5.23 (5.23) proj_loss: -0.6063 (-0.6032) time: 0.5990 data: 0.0016
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 321/350] Total time: 0:14:14 (0.512 s / it)
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 321/350] Total time: 0:14:14 (0.512 s / it)
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 321/350] Total time: 0:14:14 (0.512 s / it)
[11-26 03:14:50] (/home/user/VAR/train.py , line 276)=> [ep321] (training ) Lm: 6.499 (6.499), Lt: 5.749 (5.749), Acc m&t: 3.43 5.37, Remain: 6:24:59, Finish: 2024-11-25 17:39
[11-26 03:14:50] (/home/user/VAR/train.py , line 276)=> [ep321] (training ) Lm: 6.499 (6.499), Lt: 5.749 (5.749), Acc m&t: 3.43 5.37, Remain: 6:25:02, Finish: 2024-11-25 17:39
[11-26 03:14:50] (/home/user/VAR/train.py , line 276)=> [ep321] (training ) Lm: 6.499 (6.499), Lt: 5.749 (5.749), Acc m&t: 3.43 5.37, Remain: 6:25:02, Finish: 2024-11-25 17:39
[11-26 03:14:50] (/home/user/VAR/train.py , line 276)=> [ep321] (training ) Lm: 6.499 (6.499), Lt: 5.749 (5.749), Acc m&t: 3.43 5.37, Remain: 6:25:15, Finish: 2024-11-25 17:40
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 0/1669] eta: 0:13:29 tlr: 2.3e-05 tnm: 0.61 Lm: 6.746 (6.746) Lt: 5.982 (5.982) Accm: 2.74 (2.74) Acct: 4.17 (4.17) proj_loss: -0.5947 (-0.5947) time: 0.4849 data: 0.0004
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 0/1669] eta: 0:13:28 tlr: 2.3e-05 tnm: 0.61 Lm: 6.607 (6.607) Lt: 5.857 (5.857) Accm: 3.04 (3.04) Acct: 4.82 (4.82) proj_loss: -0.6220 (-0.6220) time: 0.4843 data: 0.0004
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 0/1669] eta: 0:13:29 tlr: 2.3e-05 tnm: 0.61 Lm: 6.440 (6.440) Lt: 5.735 (5.735) Accm: 3.65 (3.65) Acct: 5.66 (5.66) proj_loss: -0.6056 (-0.6056) time: 0.4849 data: 0.0004
[11-26 03:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 0/1669] eta: 0:13:29 tlr: 2.3e-05 tnm: 0.61 Lm: 6.374 (6.374) Lt: 5.627 (5.627) Accm: 3.69 (3.69) Acct: 5.63 (5.63) proj_loss: -0.6061 (-0.6061) time: 0.4851 data: 0.0003
[11-26 03:18:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 417/1669] eta: 0:10:26 tlr: 2.3e-05 tnm: 0.61 Lm: 6.370 (6.370) Lt: 5.624 (5.624) Accm: 3.59 (3.59) Acct: 5.60 (5.60) proj_loss: -0.6069 (-0.6069) time: 0.4893 data: 0.0003
[11-26 03:18:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 417/1669] eta: 0:10:26 tlr: 2.3e-05 tnm: 0.61 Lm: 6.628 (6.628) Lt: 5.871 (5.871) Accm: 2.96 (2.96) Acct: 4.58 (4.58) proj_loss: -0.6070 (-0.6070) time: 0.4893 data: 0.0003
[11-26 03:18:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 417/1669] eta: 0:10:26 tlr: 2.3e-05 tnm: 0.61 Lm: 6.656 (6.656) Lt: 5.922 (5.922) Accm: 3.04 (3.04) Acct: 4.60 (4.60) proj_loss: -0.6007 (-0.6007) time: 0.4893 data: 0.0003
[11-26 03:18:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 417/1669] eta: 0:10:26 tlr: 2.3e-05 tnm: 0.61 Lm: 6.495 (6.495) Lt: 5.803 (5.803) Accm: 3.46 (3.46) Acct: 5.23 (5.23) proj_loss: -0.6000 (-0.6000) time: 0.4893 data: 0.0003
[11-26 03:21:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 834/1669] eta: 0:06:56 tlr: 2.2e-05 tnm: 0.62 Lm: 6.550 (6.525) Lt: 5.853 (5.819) Accm: 3.27 (3.33) Acct: 4.98 (5.14) proj_loss: -0.5945 (-0.5981) time: 0.4880 data: 0.0003
[11-26 03:21:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 834/1669] eta: 0:06:56 tlr: 2.2e-05 tnm: 0.62 Lm: 6.374 (6.394) Lt: 5.627 (5.653) Accm: 3.50 (3.50) Acct: 5.56 (5.48) proj_loss: -0.6061 (-0.6019) time: 0.4880 data: 0.0003
[11-26 03:21:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 834/1669] eta: 0:06:56 tlr: 2.2e-05 tnm: 0.62 Lm: 6.607 (6.588) Lt: 5.857 (5.840) Accm: 3.04 (3.07) Acct: 4.82 (4.71) proj_loss: -0.6140 (-0.6093) time: 0.4880 data: 0.0003
[11-26 03:21:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [ 834/1669] eta: 0:06:56 tlr: 2.2e-05 tnm: 0.62 Lm: 6.565 (6.619) Lt: 5.863 (5.885) Accm: 3.33 (3.14) Acct: 5.03 (4.83) proj_loss: -0.5966 (-0.5994) time: 0.4880 data: 0.0003
[11-26 03:25:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1251/1669] eta: 0:03:28 tlr: 2.2e-05 tnm: 0.61 Lm: 6.555 (6.591) Lt: 5.837 (5.846) Accm: 3.25 (3.15) Acct: 5.12 (4.93) proj_loss: -0.6017 (-0.6017) time: 0.4854 data: 0.0003
[11-26 03:25:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1251/1669] eta: 0:03:28 tlr: 2.2e-05 tnm: 0.61 Lm: 6.568 (6.546) Lt: 5.848 (5.825) Accm: 3.17 (3.26) Acct: 4.93 (5.08) proj_loss: -0.6000 (-0.6005) time: 0.4853 data: 0.0003
[11-26 03:25:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1251/1669] eta: 0:03:28 tlr: 2.2e-05 tnm: 0.61 Lm: 6.408 (6.428) Lt: 5.669 (5.691) Accm: 3.40 (3.44) Acct: 5.45 (5.45) proj_loss: -0.6069 (-0.6051) time: 0.4853 data: 0.0003
[11-26 03:25:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1251/1669] eta: 0:03:28 tlr: 2.2e-05 tnm: 0.61 Lm: 6.558 (6.553) Lt: 5.817 (5.816) Accm: 3.17 (3.18) Acct: 4.89 (4.82) proj_loss: -0.6096 (-0.6083) time: 0.4853 data: 0.0002
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1668/1669] eta: 0:00:00 tlr: 2.2e-05 tnm: 0.61 Lm: 6.607 (6.571) Lt: 5.857 (5.842) Accm: 3.18 (3.18) Acct: 4.96 (4.87) proj_loss: -0.6140 (-0.6095) time: 0.4914 data: 0.0015
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 322/350] Total time: 0:13:57 (0.502 s / it)
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1668/1669] eta: 0:00:00 tlr: 2.2e-05 tnm: 0.61 Lm: 6.441 (6.444) Lt: 5.711 (5.695) Accm: 3.49 (3.45) Acct: 5.56 (5.51) proj_loss: -0.6061 (-0.6021) time: 0.4914 data: 0.0018
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1668/1669] eta: 0:00:00 tlr: 2.2e-05 tnm: 0.61 Lm: 6.550 (6.525) Lt: 5.844 (5.801) Accm: 3.27 (3.31) Acct: 4.98 (5.15) proj_loss: -0.5970 (-0.5998) time: 0.4914 data: 0.0020
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 322/350] [1668/1669] eta: 0:00:00 tlr: 2.2e-05 tnm: 0.61 Lm: 6.546 (6.532) Lt: 5.811 (5.784) Accm: 3.33 (3.36) Acct: 5.22 (5.20) proj_loss: -0.6068 (-0.6032) time: 0.4914 data: 0.0016
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 322/350] Total time: 0:13:57 (0.502 s / it)
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 322/350] Total time: 0:13:57 (0.502 s / it)
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 322/350] Total time: 0:13:57 (0.502 s / it)
[11-26 03:28:47] (/home/user/VAR/train.py , line 276)=> [ep322] (training ) Lm: 6.499 (6.518), Lt: 5.749 (5.774), Acc m&t: 3.43 5.37, Remain: 6:12:58, Finish: 2024-11-25 17:41
[11-26 03:28:47] (/home/user/VAR/train.py , line 276)=> [ep322] (training ) Lm: 6.499 (6.518), Lt: 5.749 (5.774), Acc m&t: 3.43 5.37, Remain: 6:12:55, Finish: 2024-11-25 17:41
[11-26 03:28:47] (/home/user/VAR/train.py , line 276)=> [ep322] (training ) Lm: 6.499 (6.518), Lt: 5.749 (5.774), Acc m&t: 3.43 5.37, Remain: 6:12:55, Finish: 2024-11-25 17:41
[11-26 03:28:47] (/home/user/VAR/train.py , line 276)=> [ep322] (training ) Lm: 6.499 (6.518), Lt: 5.749 (5.774), Acc m&t: 3.43 5.37, Remain: 6:12:56, Finish: 2024-11-25 17:41
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 0/1669] eta: 0:13:00 tlr: 2.2e-05 tnm: 0.60 Lm: 6.515 (6.515) Lt: 5.743 (5.743) Accm: 3.59 (3.59) Acct: 5.97 (5.97) proj_loss: -0.6117 (-0.6117) time: 0.4678 data: 0.0004
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 0/1669] eta: 0:13:01 tlr: 2.2e-05 tnm: 0.60 Lm: 6.347 (6.347) Lt: 5.592 (5.592) Accm: 3.57 (3.57) Acct: 5.42 (5.42) proj_loss: -0.6272 (-0.6272) time: 0.4680 data: 0.0003
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 0/1669] eta: 0:13:01 tlr: 2.2e-05 tnm: 0.60 Lm: 6.488 (6.488) Lt: 5.665 (5.665) Accm: 3.45 (3.45) Acct: 5.39 (5.39) proj_loss: -0.5873 (-0.5873) time: 0.4682 data: 0.0004
[11-26 03:28:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 0/1669] eta: 0:13:01 tlr: 2.2e-05 tnm: 0.60 Lm: 6.489 (6.489) Lt: 5.710 (5.710) Accm: 3.30 (3.30) Acct: 5.10 (5.10) proj_loss: -0.6019 (-0.6019) time: 0.4684 data: 0.0004
[11-26 03:32:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 417/1669] eta: 0:11:10 tlr: 2.2e-05 tnm: 0.62 Lm: 6.516 (6.516) Lt: 5.752 (5.752) Accm: 3.35 (3.35) Acct: 5.18 (5.18) proj_loss: -0.6017 (-0.6017) time: 0.5959 data: 0.0003
[11-26 03:32:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 417/1669] eta: 0:11:10 tlr: 2.2e-05 tnm: 0.62 Lm: 6.476 (6.476) Lt: 5.714 (5.714) Accm: 3.57 (3.57) Acct: 5.72 (5.72) proj_loss: -0.6152 (-0.6152) time: 0.5959 data: 0.0003
[11-26 03:32:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 417/1669] eta: 0:11:10 tlr: 2.2e-05 tnm: 0.62 Lm: 6.455 (6.455) Lt: 5.710 (5.710) Accm: 3.51 (3.51) Acct: 5.40 (5.40) proj_loss: -0.6196 (-0.6196) time: 0.5959 data: 0.0003
[11-26 03:32:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 417/1669] eta: 0:11:10 tlr: 2.2e-05 tnm: 0.62 Lm: 6.468 (6.468) Lt: 5.657 (5.657) Accm: 3.44 (3.44) Acct: 5.41 (5.41) proj_loss: -0.5956 (-0.5956) time: 0.5959 data: 0.0003
[11-26 03:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 834/1669] eta: 0:07:14 tlr: 2.2e-05 tnm: 0.61 Lm: 6.488 (6.503) Lt: 5.665 (5.734) Accm: 3.43 (3.33) Acct: 5.39 (5.18) proj_loss: -0.6040 (-0.5989) time: 0.4913 data: 0.0003
[11-26 03:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 834/1669] eta: 0:07:14 tlr: 2.2e-05 tnm: 0.61 Lm: 6.436 (6.451) Lt: 5.685 (5.672) Accm: 3.55 (3.56) Acct: 5.73 (5.72) proj_loss: -0.6117 (-0.6134) time: 0.4913 data: 0.0003
[11-26 03:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 834/1669] eta: 0:07:14 tlr: 2.2e-05 tnm: 0.61 Lm: 6.347 (6.408) Lt: 5.592 (5.652) Accm: 3.57 (3.59) Acct: 5.42 (5.64) proj_loss: -0.6171 (-0.6188) time: 0.4913 data: 0.0003
[11-26 03:36:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [ 834/1669] eta: 0:07:14 tlr: 2.2e-05 tnm: 0.61 Lm: 6.489 (6.468) Lt: 5.710 (5.701) Accm: 3.40 (3.44) Acct: 5.27 (5.34) proj_loss: -0.6014 (-0.5954) time: 0.4913 data: 0.0003
[11-26 03:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1251/1669] eta: 0:03:35 tlr: 2.2e-05 tnm: 0.62 Lm: 6.455 (6.456) Lt: 5.664 (5.680) Accm: 3.51 (3.54) Acct: 5.47 (5.48) proj_loss: -0.6017 (-0.5978) time: 0.4853 data: 0.0003
[11-26 03:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1251/1669] eta: 0:03:35 tlr: 2.2e-05 tnm: 0.62 Lm: 6.464 (6.462) Lt: 5.695 (5.680) Accm: 3.55 (3.48) Acct: 5.60 (5.51) proj_loss: -0.6108 (-0.6047) time: 0.4853 data: 0.0003
[11-26 03:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1251/1669] eta: 0:03:35 tlr: 2.2e-05 tnm: 0.62 Lm: 6.455 (6.453) Lt: 5.710 (5.713) Accm: 3.51 (3.54) Acct: 5.40 (5.57) proj_loss: -0.6222 (-0.6215) time: 0.4853 data: 0.0003
[11-26 03:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1251/1669] eta: 0:03:35 tlr: 2.2e-05 tnm: 0.62 Lm: 6.520 (6.515) Lt: 5.776 (5.777) Accm: 3.31 (3.30) Acct: 5.04 (5.06) proj_loss: -0.6047 (-0.6034) time: 0.4853 data: 0.0003
[11-26 03:42:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.63 Lm: 6.493 (6.511) Lt: 5.735 (5.769) Accm: 3.41 (3.32) Acct: 5.37 (5.12) proj_loss: -0.6042 (-0.6036) time: 0.4939 data: 0.0017
[11-26 03:42:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 323/350] Total time: 0:14:09 (0.509 s / it)
[11-26 03:42:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.63 Lm: 6.484 (6.460) Lt: 5.738 (5.718) Accm: 3.45 (3.52) Acct: 5.37 (5.51) proj_loss: -0.6171 (-0.6136) time: 0.4939 data: 0.0016
[11-26 03:42:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.63 Lm: 6.489 (6.485) Lt: 5.710 (5.714) Accm: 3.40 (3.45) Acct: 5.27 (5.32) proj_loss: -0.6016 (-0.5986) time: 0.4939 data: 0.0019
[11-26 03:42:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 323/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.63 Lm: 6.443 (6.458) Lt: 5.690 (5.682) Accm: 3.55 (3.48) Acct: 5.46 (5.49) proj_loss: -0.6117 (-0.6090) time: 0.4939 data: 0.0014
[11-26 03:42:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 323/350] Total time: 0:14:09 (0.509 s / it)
[11-26 03:42:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 323/350] Total time: 0:14:09 (0.509 s / it)
[11-26 03:42:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 323/350] Total time: 0:14:09 (0.509 s / it)
[11-26 03:42:56] (/home/user/VAR/train.py , line 276)=> [ep323] (training ) Lm: 6.499 (6.520), Lt: 5.749 (5.776), Acc m&t: 3.43 5.37, Remain: 6:00:00, Finish: 2024-11-25 17:42
[11-26 03:42:56] (/home/user/VAR/train.py , line 276)=> [ep323] (training ) Lm: 6.499 (6.520), Lt: 5.749 (5.776), Acc m&t: 3.43 5.37, Remain: 6:00:09, Finish: 2024-11-25 17:43
[11-26 03:42:56] (/home/user/VAR/train.py , line 276)=> [ep323] (training ) Lm: 6.499 (6.520), Lt: 5.749 (5.776), Acc m&t: 3.43 5.37, Remain: 6:00:08, Finish: 2024-11-25 17:43
[11-26 03:42:56] (/home/user/VAR/train.py , line 276)=> [ep323] (training ) Lm: 6.499 (6.520), Lt: 5.749 (5.776), Acc m&t: 3.43 5.37, Remain: 6:00:04, Finish: 2024-11-25 17:43
[11-26 03:42:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 0/1669] eta: 0:13:16 tlr: 2.1e-05 tnm: 0.62 Lm: 6.596 (6.596) Lt: 5.809 (5.809) Accm: 3.29 (3.29) Acct: 5.13 (5.13) proj_loss: -0.5919 (-0.5919) time: 0.4774 data: 0.0004
[11-26 03:42:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 0/1669] eta: 0:13:15 tlr: 2.1e-05 tnm: 0.62 Lm: 6.573 (6.573) Lt: 5.895 (5.895) Accm: 3.31 (3.31) Acct: 4.94 (4.94) proj_loss: -0.5932 (-0.5932) time: 0.4769 data: 0.0004
[11-26 03:42:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 0/1669] eta: 0:13:15 tlr: 2.1e-05 tnm: 0.62 Lm: 6.439 (6.439) Lt: 5.671 (5.671) Accm: 3.89 (3.89) Acct: 6.23 (6.23) proj_loss: -0.5894 (-0.5894) time: 0.4768 data: 0.0004
[11-26 03:42:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 0/1669] eta: 0:13:16 tlr: 2.1e-05 tnm: 0.62 Lm: 6.451 (6.451) Lt: 5.687 (5.687) Accm: 3.37 (3.37) Acct: 5.42 (5.42) proj_loss: -0.5996 (-0.5996) time: 0.4769 data: 0.0005
[11-26 03:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 417/1669] eta: 0:10:41 tlr: 2.1e-05 tnm: 0.63 Lm: 6.570 (6.570) Lt: 5.811 (5.811) Accm: 3.04 (3.04) Acct: 4.84 (4.84) proj_loss: -0.6040 (-0.6040) time: 0.4896 data: 0.0003
[11-26 03:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 417/1669] eta: 0:10:41 tlr: 2.1e-05 tnm: 0.63 Lm: 6.518 (6.518) Lt: 5.782 (5.782) Accm: 3.38 (3.38) Acct: 5.03 (5.03) proj_loss: -0.5922 (-0.5922) time: 0.4896 data: 0.0007
[11-26 03:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 417/1669] eta: 0:10:41 tlr: 2.1e-05 tnm: 0.63 Lm: 6.569 (6.569) Lt: 5.817 (5.817) Accm: 3.31 (3.31) Acct: 5.14 (5.14) proj_loss: -0.6091 (-0.6091) time: 0.4896 data: 0.0003
[11-26 03:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 417/1669] eta: 0:10:41 tlr: 2.1e-05 tnm: 0.63 Lm: 6.442 (6.442) Lt: 5.686 (5.686) Accm: 3.89 (3.89) Acct: 6.10 (6.10) proj_loss: -0.5881 (-0.5881) time: 0.4896 data: 0.0003
[11-26 03:50:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 834/1669] eta: 0:07:09 tlr: 2.1e-05 tnm: 0.63 Lm: 6.445 (6.482) Lt: 5.701 (5.731) Accm: 3.89 (3.65) Acct: 5.96 (5.69) proj_loss: -0.5869 (-0.5862) time: 0.4882 data: 0.0003
[11-26 03:50:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 834/1669] eta: 0:07:09 tlr: 2.1e-05 tnm: 0.63 Lm: 6.492 (6.544) Lt: 5.735 (5.786) Accm: 3.31 (3.13) Acct: 5.41 (5.03) proj_loss: -0.6084 (-0.6060) time: 0.4882 data: 0.0003
[11-26 03:50:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 834/1669] eta: 0:07:09 tlr: 2.1e-05 tnm: 0.63 Lm: 6.542 (6.507) Lt: 5.809 (5.753) Accm: 3.34 (3.41) Acct: 5.15 (5.29) proj_loss: -0.6195 (-0.6126) time: 0.4882 data: 0.0003
[11-26 03:50:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [ 834/1669] eta: 0:07:09 tlr: 2.1e-05 tnm: 0.63 Lm: 6.573 (6.564) Lt: 5.895 (5.849) Accm: 3.31 (3.29) Acct: 4.94 (4.96) proj_loss: -0.5932 (-0.6034) time: 0.4882 data: 0.0003
[11-26 03:53:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1251/1669] eta: 0:03:32 tlr: 2.1e-05 tnm: 0.62 Lm: 6.612 (6.585) Lt: 5.909 (5.867) Accm: 3.20 (3.24) Acct: 4.94 (4.95) proj_loss: -0.6022 (-0.6054) time: 0.4939 data: 0.0002
[11-26 03:53:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1251/1669] eta: 0:03:32 tlr: 2.1e-05 tnm: 0.62 Lm: 6.484 (6.527) Lt: 5.720 (5.765) Accm: 3.34 (3.30) Acct: 5.41 (5.27) proj_loss: -0.6050 (-0.6049) time: 0.4939 data: 0.0003
[11-26 03:53:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1251/1669] eta: 0:03:32 tlr: 2.1e-05 tnm: 0.62 Lm: 6.451 (6.476) Lt: 5.720 (5.733) Accm: 3.79 (3.66) Acct: 5.95 (5.75) proj_loss: -0.5881 (-0.5940) time: 0.4939 data: 0.0003
[11-26 03:53:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1251/1669] eta: 0:03:32 tlr: 2.1e-05 tnm: 0.62 Lm: 6.463 (6.452) Lt: 5.717 (5.710) Accm: 3.48 (3.53) Acct: 5.36 (5.38) proj_loss: -0.6079 (-0.6085) time: 0.4939 data: 0.0003
[11-26 03:57:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.61 Lm: 6.542 (6.475) Lt: 5.809 (5.736) Accm: 3.34 (3.47) Acct: 5.15 (5.30) proj_loss: -0.6166 (-0.6101) time: 0.4953 data: 0.0021
[11-26 03:57:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 324/350] Total time: 0:14:20 (0.516 s / it)
[11-26 03:57:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.61 Lm: 6.591 (6.586) Lt: 5.895 (5.860) Accm: 3.10 (3.21) Acct: 4.94 (4.93) proj_loss: -0.5932 (-0.6012) time: 0.4952 data: 0.0016
[11-26 03:57:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.61 Lm: 6.457 (6.480) Lt: 5.717 (5.730) Accm: 3.69 (3.63) Acct: 5.94 (5.71) proj_loss: -0.5894 (-0.5983) time: 0.4952 data: 0.0018
[11-26 03:57:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 324/350] [1668/1669] eta: 0:00:00 tlr: 2.1e-05 tnm: 0.61 Lm: 6.475 (6.510) Lt: 5.735 (5.769) Accm: 3.37 (3.41) Acct: 5.42 (5.31) proj_loss: -0.6084 (-0.6072) time: 0.4952 data: 0.0015
[11-26 03:57:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 324/350] Total time: 0:14:20 (0.516 s / it)
[11-26 03:57:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 324/350] Total time: 0:14:20 (0.516 s / it)
[11-26 03:57:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 324/350] Total time: 0:14:20 (0.516 s / it)
[11-26 03:57:17] (/home/user/VAR/train.py , line 276)=> [ep324] (training ) Lm: 6.499 (6.518), Lt: 5.749 (5.771), Acc m&t: 3.43 5.37, Remain: 5:47:19, Finish: 2024-11-25 17:44
[11-26 03:57:17] (/home/user/VAR/train.py , line 276)=> [ep324] (training ) Lm: 6.499 (6.518), Lt: 5.749 (5.771), Acc m&t: 3.43 5.37, Remain: 5:47:20, Finish: 2024-11-25 17:44
[11-26 03:57:17] (/home/user/VAR/train.py , line 276)=> [ep324] (training ) Lm: 6.499 (6.518), Lt: 5.749 (5.771), Acc m&t: 3.43 5.37, Remain: 5:47:19, Finish: 2024-11-25 17:44
[11-26 03:57:17] (/home/user/VAR/train.py , line 276)=> [ep324] (training ) Lm: 6.499 (6.518), Lt: 5.749 (5.771), Acc m&t: 3.43 5.37, Remain: 5:47:15, Finish: 2024-11-25 17:44
[11-26 03:57:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 0/1669] eta: 0:13:14 tlr: 2.1e-05 tnm: 0.61 Lm: 6.427 (6.427) Lt: 5.716 (5.716) Accm: 3.85 (3.85) Acct: 5.99 (5.99) proj_loss: -0.6378 (-0.6378) time: 0.4761 data: 0.0003
[11-26 03:57:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 0/1669] eta: 0:13:14 tlr: 2.1e-05 tnm: 0.61 Lm: 6.583 (6.583) Lt: 5.813 (5.813) Accm: 3.49 (3.49) Acct: 5.49 (5.49) proj_loss: -0.6012 (-0.6012) time: 0.4763 data: 0.0004
[11-26 03:57:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 0/1669] eta: 0:13:15 tlr: 2.1e-05 tnm: 0.61 Lm: 6.358 (6.358) Lt: 5.524 (5.524) Accm: 3.93 (3.93) Acct: 6.51 (6.51) proj_loss: -0.6004 (-0.6004) time: 0.4764 data: 0.0004
[11-26 03:57:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 0/1669] eta: 0:13:15 tlr: 2.1e-05 tnm: 0.61 Lm: 6.652 (6.652) Lt: 5.942 (5.942) Accm: 3.04 (3.04) Acct: 4.70 (4.70) proj_loss: -0.6033 (-0.6033) time: 0.4764 data: 0.0004
[11-26 04:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 417/1669] eta: 0:10:22 tlr: 2e-05 tnm: 0.61 Lm: 6.617 (6.617) Lt: 5.873 (5.873) Accm: 3.25 (3.25) Acct: 5.14 (5.14) proj_loss: -0.6008 (-0.6008) time: 0.4874 data: 0.0003
[11-26 04:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 417/1669] eta: 0:10:22 tlr: 2e-05 tnm: 0.61 Lm: 6.381 (6.381) Lt: 5.608 (5.608) Accm: 4.05 (4.05) Acct: 6.46 (6.46) proj_loss: -0.6236 (-0.6236) time: 0.4874 data: 0.0003
[11-26 04:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 417/1669] eta: 0:10:22 tlr: 2e-05 tnm: 0.61 Lm: 6.347 (6.347) Lt: 5.557 (5.557) Accm: 4.01 (4.01) Acct: 6.38 (6.38) proj_loss: -0.6045 (-0.6045) time: 0.4874 data: 0.0003
[11-26 04:00:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 417/1669] eta: 0:10:22 tlr: 2e-05 tnm: 0.61 Lm: 6.670 (6.670) Lt: 5.952 (5.952) Accm: 2.99 (2.99) Acct: 4.67 (4.67) proj_loss: -0.6018 (-0.6018) time: 0.4875 data: 0.0003
[11-26 04:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 834/1669] eta: 0:06:53 tlr: 2e-05 tnm: 0.61 Lm: 6.652 (6.605) Lt: 5.942 (5.891) Accm: 3.04 (3.24) Acct: 4.70 (5.00) proj_loss: -0.6033 (-0.6026) time: 0.4875 data: 0.0003
[11-26 04:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 834/1669] eta: 0:06:53 tlr: 2e-05 tnm: 0.61 Lm: 6.358 (6.432) Lt: 5.589 (5.669) Accm: 3.93 (3.71) Acct: 6.25 (5.88) proj_loss: -0.6004 (-0.6006) time: 0.4875 data: 0.0003
[11-26 04:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 834/1669] eta: 0:06:53 tlr: 2e-05 tnm: 0.61 Lm: 6.427 (6.438) Lt: 5.716 (5.689) Accm: 3.85 (3.85) Acct: 5.99 (6.03) proj_loss: -0.6378 (-0.6285) time: 0.4875 data: 0.0003
[11-26 04:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [ 834/1669] eta: 0:06:53 tlr: 2e-05 tnm: 0.61 Lm: 6.605 (6.613) Lt: 5.852 (5.866) Accm: 3.04 (3.18) Acct: 4.89 (5.06) proj_loss: -0.6012 (-0.6028) time: 0.4875 data: 0.0003
[11-26 04:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1251/1669] eta: 0:03:28 tlr: 2e-05 tnm: 0.63 Lm: 6.594 (6.567) Lt: 5.832 (5.827) Accm: 3.24 (3.24) Acct: 5.14 (5.14) proj_loss: -0.6040 (-0.6041) time: 0.5387 data: 0.0003
[11-26 04:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1251/1669] eta: 0:03:28 tlr: 2e-05 tnm: 0.63 Lm: 6.383 (6.426) Lt: 5.589 (5.649) Accm: 3.76 (3.68) Acct: 6.28 (5.99) proj_loss: -0.5965 (-0.5978) time: 0.5387 data: 0.0003
[11-26 04:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1251/1669] eta: 0:03:28 tlr: 2e-05 tnm: 0.63 Lm: 6.489 (6.498) Lt: 5.784 (5.754) Accm: 3.65 (3.59) Acct: 5.58 (5.59) proj_loss: -0.6236 (-0.6227) time: 0.5387 data: 0.0003
[11-26 04:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1251/1669] eta: 0:03:28 tlr: 2e-05 tnm: 0.63 Lm: 6.601 (6.591) Lt: 5.866 (5.866) Accm: 3.21 (3.28) Acct: 5.10 (5.13) proj_loss: -0.6018 (-0.5989) time: 0.5387 data: 0.0003
[11-26 04:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1668/1669] eta: 0:00:00 tlr: 2e-05 tnm: 0.61 Lm: 6.555 (6.584) Lt: 5.823 (5.857) Accm: 3.36 (3.29) Acct: 5.10 (5.12) proj_loss: -0.6033 (-0.6022) time: 0.5945 data: 0.0017
[11-26 04:11:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 325/350] Total time: 0:14:00 (0.504 s / it)
[11-26 04:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1668/1669] eta: 0:00:00 tlr: 2e-05 tnm: 0.61 Lm: 6.605 (6.598) Lt: 5.852 (5.865) Accm: 3.04 (3.14) Acct: 4.89 (4.90) proj_loss: -0.6012 (-0.6010) time: 0.5945 data: 0.0018
[11-26 04:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1668/1669] eta: 0:00:00 tlr: 2e-05 tnm: 0.61 Lm: 6.408 (6.439) Lt: 5.589 (5.668) Accm: 3.72 (3.69) Acct: 6.25 (6.00) proj_loss: -0.6004 (-0.5989) time: 0.5945 data: 0.0018
[11-26 04:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 325/350] [1668/1669] eta: 0:00:00 tlr: 2e-05 tnm: 0.61 Lm: 6.552 (6.528) Lt: 5.852 (5.799) Accm: 3.45 (3.46) Acct: 5.17 (5.36) proj_loss: -0.6095 (-0.6187) time: 0.5945 data: 0.0015
[11-26 04:11:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 325/350] Total time: 0:14:00 (0.504 s / it)
[11-26 04:11:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 325/350] Total time: 0:14:00 (0.504 s / it)
[11-26 04:11:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 325/350] Total time: 0:14:00 (0.504 s / it)
[11-26 04:11:18] (/home/user/VAR/train.py , line 276)=> [ep325] (training ) Lm: 6.499 (6.541), Lt: 5.749 (5.800), Acc m&t: 3.43 5.37, Remain: 5:32:29, Finish: 2024-11-25 17:43
[11-26 04:11:18] (/home/user/VAR/train.py , line 276)=> [ep325] (training ) Lm: 6.499 (6.541), Lt: 5.749 (5.800), Acc m&t: 3.43 5.37, Remain: 5:32:27, Finish: 2024-11-25 17:43
[11-26 04:11:18] (/home/user/VAR/train.py , line 276)=> [ep325] (training ) Lm: 6.499 (6.541), Lt: 5.749 (5.800), Acc m&t: 3.43 5.37, Remain: 5:32:28, Finish: 2024-11-25 17:43
[11-26 04:11:18] (/home/user/VAR/train.py , line 276)=> [ep325] (training ) Lm: 6.499 (6.541), Lt: 5.749 (5.800), Acc m&t: 3.43 5.37, Remain: 5:32:25, Finish: 2024-11-25 17:43
[11-26 04:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 0/1669] eta: 0:13:08 tlr: 2e-05 tnm: 0.61 Lm: 6.508 (6.508) Lt: 5.773 (5.773) Accm: 3.51 (3.51) Acct: 5.48 (5.48) proj_loss: -0.5990 (-0.5990) time: 0.4725 data: 0.0004
[11-26 04:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 0/1669] eta: 0:13:14 tlr: 2e-05 tnm: 0.61 Lm: 6.469 (6.469) Lt: 5.674 (5.674) Accm: 3.64 (3.64) Acct: 5.66 (5.66) proj_loss: -0.6173 (-0.6173) time: 0.4761 data: 0.0003
[11-26 04:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 0/1669] eta: 0:13:09 tlr: 2e-05 tnm: 0.61 Lm: 6.771 (6.771) Lt: 6.056 (6.056) Accm: 2.83 (2.83) Acct: 4.36 (4.36) proj_loss: -0.6137 (-0.6137) time: 0.4730 data: 0.0004
[11-26 04:11:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 0/1669] eta: 0:13:11 tlr: 2e-05 tnm: 0.61 Lm: 6.646 (6.646) Lt: 5.926 (5.926) Accm: 3.18 (3.18) Acct: 4.87 (4.87) proj_loss: -0.6324 (-0.6324) time: 0.4741 data: 0.0003
[11-26 04:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 417/1669] eta: 0:10:56 tlr: 2e-05 tnm: 0.62 Lm: 6.586 (6.586) Lt: 5.867 (5.867) Accm: 3.27 (3.27) Acct: 5.01 (5.01) proj_loss: -0.6177 (-0.6177) time: 0.4899 data: 0.0003
[11-26 04:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 417/1669] eta: 0:10:56 tlr: 2e-05 tnm: 0.62 Lm: 6.515 (6.515) Lt: 5.769 (5.769) Accm: 3.28 (3.28) Acct: 5.14 (5.14) proj_loss: -0.6161 (-0.6161) time: 0.4899 data: 0.0003
[11-26 04:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 417/1669] eta: 0:10:56 tlr: 2e-05 tnm: 0.62 Lm: 6.604 (6.604) Lt: 5.869 (5.869) Accm: 3.11 (3.11) Acct: 4.96 (4.96) proj_loss: -0.5933 (-0.5933) time: 0.4900 data: 0.0003
[11-26 04:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 417/1669] eta: 0:10:56 tlr: 2e-05 tnm: 0.62 Lm: 6.698 (6.698) Lt: 5.970 (5.970) Accm: 3.14 (3.14) Acct: 4.80 (4.80) proj_loss: -0.6044 (-0.6044) time: 0.4899 data: 0.0003
[11-26 04:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 834/1669] eta: 0:07:14 tlr: 2e-05 tnm: 0.61 Lm: 6.670 (6.688) Lt: 5.946 (5.962) Accm: 2.86 (3.05) Acct: 4.53 (4.71) proj_loss: -0.5950 (-0.5997) time: 0.5411 data: 0.0003
[11-26 04:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 834/1669] eta: 0:07:14 tlr: 2e-05 tnm: 0.61 Lm: 6.508 (6.564) Lt: 5.773 (5.811) Accm: 3.42 (3.22) Acct: 5.42 (5.11) proj_loss: -0.5990 (-0.5964) time: 0.5410 data: 0.0003
[11-26 04:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 834/1669] eta: 0:07:14 tlr: 2e-05 tnm: 0.61 Lm: 6.525 (6.560) Lt: 5.809 (5.828) Accm: 3.18 (3.23) Acct: 4.98 (5.00) proj_loss: -0.6030 (-0.6078) time: 0.5410 data: 0.0004
[11-26 04:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [ 834/1669] eta: 0:07:14 tlr: 2e-05 tnm: 0.61 Lm: 6.511 (6.513) Lt: 5.782 (5.773) Accm: 3.29 (3.28) Acct: 5.15 (5.14) proj_loss: -0.6148 (-0.6145) time: 0.5411 data: 0.0003
[11-26 04:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1251/1669] eta: 0:03:32 tlr: 1.9e-05 tnm: 0.63 Lm: 6.536 (6.530) Lt: 5.823 (5.800) Accm: 3.18 (3.23) Acct: 4.94 (5.04) proj_loss: -0.6131 (-0.6135) time: 0.4892 data: 0.0003
[11-26 04:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1251/1669] eta: 0:03:32 tlr: 1.9e-05 tnm: 0.63 Lm: 6.516 (6.488) Lt: 5.780 (5.730) Accm: 3.27 (3.47) Acct: 5.06 (5.37) proj_loss: -0.5989 (-0.6045) time: 0.4892 data: 0.0003
[11-26 04:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1251/1669] eta: 0:03:32 tlr: 1.9e-05 tnm: 0.63 Lm: 6.510 (6.551) Lt: 5.778 (5.804) Accm: 3.41 (3.26) Acct: 5.39 (5.17) proj_loss: -0.6008 (-0.5989) time: 0.4892 data: 0.0003
[11-26 04:21:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1251/1669] eta: 0:03:32 tlr: 1.9e-05 tnm: 0.63 Lm: 6.647 (6.651) Lt: 5.915 (5.921) Accm: 3.03 (3.09) Acct: 4.69 (4.75) proj_loss: -0.6003 (-0.6012) time: 0.4892 data: 0.0003
[11-26 04:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1668/1669] eta: 0:00:00 tlr: 1.9e-05 tnm: 0.62 Lm: 6.670 (6.669) Lt: 5.946 (5.943) Accm: 2.86 (3.02) Acct: 4.53 (4.66) proj_loss: -0.5950 (-0.5995) time: 0.5447 data: 0.0016
[11-26 04:25:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 326/350] Total time: 0:14:03 (0.506 s / it)
[11-26 04:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1668/1669] eta: 0:00:00 tlr: 1.9e-05 tnm: 0.62 Lm: 6.525 (6.506) Lt: 5.801 (5.744) Accm: 3.27 (3.43) Acct: 5.15 (5.35) proj_loss: -0.6030 (-0.6057) time: 0.5447 data: 0.0017
[11-26 04:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1668/1669] eta: 0:00:00 tlr: 1.9e-05 tnm: 0.62 Lm: 6.561 (6.544) Lt: 5.828 (5.806) Accm: 3.29 (3.26) Acct: 5.15 (5.13) proj_loss: -0.6113 (-0.6107) time: 0.5447 data: 0.0013
[11-26 04:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 326/350] [1668/1669] eta: 0:00:00 tlr: 1.9e-05 tnm: 0.62 Lm: 6.508 (6.541) Lt: 5.773 (5.783) Accm: 3.42 (3.30) Acct: 5.42 (5.28) proj_loss: -0.6026 (-0.6017) time: 0.5448 data: 0.0017
[11-26 04:25:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 326/350] Total time: 0:14:03 (0.506 s / it)
[11-26 04:25:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 326/350] Total time: 0:14:03 (0.506 s / it)
[11-26 04:25:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 326/350] Total time: 0:14:03 (0.506 s / it)
[11-26 04:25:22] (/home/user/VAR/train.py , line 276)=> [ep326] (training ) Lm: 6.499 (6.513), Lt: 5.749 (5.763), Acc m&t: 3.43 5.37, Remain: 5:19:09, Finish: 2024-11-25 17:44
[11-26 04:25:22] (/home/user/VAR/train.py , line 276)=> [ep326] (training ) Lm: 6.499 (6.513), Lt: 5.749 (5.763), Acc m&t: 3.43 5.37, Remain: 5:19:03, Finish: 2024-11-25 17:44
[11-26 04:25:22] (/home/user/VAR/train.py , line 276)=> [ep326] (training ) Lm: 6.499 (6.513), Lt: 5.749 (5.763), Acc m&t: 3.43 5.37, Remain: 5:19:18, Finish: 2024-11-25 17:44
[11-26 04:25:22] (/home/user/VAR/train.py , line 276)=> [ep326] (training ) Lm: 6.499 (6.513), Lt: 5.749 (5.763), Acc m&t: 3.43 5.37, Remain: 5:19:06, Finish: 2024-11-25 17:44
[11-26 04:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 0/1669] eta: 0:12:55 tlr: 1.9e-05 tnm: 0.63 Lm: 6.644 (6.644) Lt: 5.921 (5.921) Accm: 2.84 (2.84) Acct: 4.48 (4.48) proj_loss: -0.5934 (-0.5934) time: 0.4648 data: 0.0004
[11-26 04:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 0/1669] eta: 0:12:56 tlr: 1.9e-05 tnm: 0.63 Lm: 6.373 (6.373) Lt: 5.603 (5.603) Accm: 3.76 (3.76) Acct: 5.84 (5.84) proj_loss: -0.6115 (-0.6115) time: 0.4652 data: 0.0004
[11-26 04:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 0/1669] eta: 0:12:57 tlr: 1.9e-05 tnm: 0.63 Lm: 6.452 (6.452) Lt: 5.702 (5.702) Accm: 3.71 (3.71) Acct: 5.72 (5.72) proj_loss: -0.6127 (-0.6127) time: 0.4658 data: 0.0003
[11-26 04:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 0/1669] eta: 0:12:56 tlr: 1.9e-05 tnm: 0.63 Lm: 6.609 (6.609) Lt: 5.868 (5.868) Accm: 3.33 (3.33) Acct: 5.06 (5.06) proj_loss: -0.5987 (-0.5987) time: 0.4652 data: 0.0004
[11-26 04:29:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 417/1669] eta: 0:10:55 tlr: 1.9e-05 tnm: 0.63 Lm: 6.575 (6.575) Lt: 5.827 (5.827) Accm: 3.17 (3.17) Acct: 4.91 (4.91) proj_loss: -0.6032 (-0.6032) time: 0.5362 data: 0.0003
[11-26 04:29:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 417/1669] eta: 0:10:55 tlr: 1.9e-05 tnm: 0.63 Lm: 6.441 (6.441) Lt: 5.687 (5.687) Accm: 3.49 (3.49) Acct: 5.43 (5.43) proj_loss: -0.6109 (-0.6109) time: 0.5362 data: 0.0003
[11-26 04:29:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 417/1669] eta: 0:10:55 tlr: 1.9e-05 tnm: 0.63 Lm: 6.456 (6.456) Lt: 5.705 (5.705) Accm: 3.41 (3.41) Acct: 5.48 (5.48) proj_loss: -0.5965 (-0.5965) time: 0.5362 data: 0.0003
[11-26 04:29:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 417/1669] eta: 0:10:55 tlr: 1.9e-05 tnm: 0.63 Lm: 6.503 (6.503) Lt: 5.768 (5.768) Accm: 3.44 (3.44) Acct: 5.37 (5.37) proj_loss: -0.6178 (-0.6178) time: 0.5362 data: 0.0003
[11-26 04:32:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 834/1669] eta: 0:07:06 tlr: 1.9e-05 tnm: 0.62 Lm: 6.548 (6.518) Lt: 5.834 (5.794) Accm: 3.63 (3.50) Acct: 5.61 (5.45) proj_loss: -0.6127 (-0.6120) time: 0.4899 data: 0.0003
[11-26 04:32:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 834/1669] eta: 0:07:06 tlr: 1.9e-05 tnm: 0.62 Lm: 6.541 (6.558) Lt: 5.785 (5.807) Accm: 3.33 (3.28) Acct: 5.06 (5.11) proj_loss: -0.6078 (-0.6097) time: 0.4899 data: 0.0003
[11-26 04:32:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 834/1669] eta: 0:07:06 tlr: 1.9e-05 tnm: 0.62 Lm: 6.536 (6.483) Lt: 5.869 (5.760) Accm: 3.23 (3.35) Acct: 4.99 (5.32) proj_loss: -0.5996 (-0.6013) time: 0.4899 data: 0.0003
[11-26 04:32:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [ 834/1669] eta: 0:07:06 tlr: 1.9e-05 tnm: 0.62 Lm: 6.508 (6.480) Lt: 5.749 (5.707) Accm: 3.21 (3.36) Acct: 5.20 (5.35) proj_loss: -0.6103 (-0.6048) time: 0.4899 data: 0.0003
[11-26 04:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1251/1669] eta: 0:03:35 tlr: 1.9e-05 tnm: 0.63 Lm: 6.534 (6.523) Lt: 5.760 (5.776) Accm: 3.18 (3.31) Acct: 5.11 (5.21) proj_loss: -0.6109 (-0.6078) time: 0.5918 data: 0.0003
[11-26 04:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1251/1669] eta: 0:03:35 tlr: 1.9e-05 tnm: 0.63 Lm: 6.543 (6.554) Lt: 5.790 (5.804) Accm: 3.24 (3.24) Acct: 4.98 (5.06) proj_loss: -0.6032 (-0.6061) time: 0.5918 data: 0.0003
[11-26 04:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1251/1669] eta: 0:03:35 tlr: 1.9e-05 tnm: 0.63 Lm: 6.551 (6.546) Lt: 5.840 (5.815) Accm: 3.40 (3.38) Acct: 5.32 (5.30) proj_loss: -0.6159 (-0.6138) time: 0.5918 data: 0.0003
[11-26 04:36:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1251/1669] eta: 0:03:35 tlr: 1.9e-05 tnm: 0.63 Lm: 6.484 (6.470) Lt: 5.753 (5.729) Accm: 3.42 (3.42) Acct: 5.41 (5.45) proj_loss: -0.6053 (-0.6070) time: 0.5918 data: 0.0003
[11-26 04:39:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.62 Lm: 6.432 (6.454) Lt: 5.638 (5.703) Accm: 3.62 (3.51) Acct: 5.82 (5.60) proj_loss: -0.6109 (-0.6082) time: 0.4917 data: 0.0017
[11-26 04:39:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 327/350] Total time: 0:14:14 (0.512 s / it)
[11-26 04:39:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.62 Lm: 6.559 (6.550) Lt: 5.770 (5.812) Accm: 3.21 (3.31) Acct: 5.20 (5.22) proj_loss: -0.6103 (-0.6074) time: 0.4917 data: 0.0022
[11-26 04:39:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.62 Lm: 6.542 (6.552) Lt: 5.794 (5.804) Accm: 3.30 (3.25) Acct: 5.04 (5.06) proj_loss: -0.6078 (-0.6149) time: 0.4917 data: 0.0016
[11-26 04:39:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 327/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.62 Lm: 6.548 (6.513) Lt: 5.834 (5.773) Accm: 3.33 (3.37) Acct: 5.29 (5.30) proj_loss: -0.6191 (-0.6150) time: 0.4917 data: 0.0017
[11-26 04:39:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 327/350] Total time: 0:14:14 (0.512 s / it)
[11-26 04:39:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 327/350] Total time: 0:14:15 (0.512 s / it)
[11-26 04:39:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 327/350] Total time: 0:14:15 (0.512 s / it)
[11-26 04:39:37] (/home/user/VAR/train.py , line 276)=> [ep327] (training ) Lm: 6.499 (6.514), Lt: 5.749 (5.767), Acc m&t: 3.43 5.37, Remain: 5:04:06, Finish: 2024-11-25 17:43
[11-26 04:39:37] (/home/user/VAR/train.py , line 276)=> [ep327] (training ) Lm: 6.499 (6.514), Lt: 5.749 (5.767), Acc m&t: 3.43 5.37, Remain: 5:04:00, Finish: 2024-11-25 17:43
[11-26 04:39:37] (/home/user/VAR/train.py , line 276)=> [ep327] (training ) Lm: 6.499 (6.514), Lt: 5.749 (5.767), Acc m&t: 3.43 5.37, Remain: 5:04:08, Finish: 2024-11-25 17:43
[11-26 04:39:37] (/home/user/VAR/train.py , line 276)=> [ep327] (training ) Lm: 6.499 (6.514), Lt: 5.749 (5.767), Acc m&t: 3.43 5.37, Remain: 5:04:07, Finish: 2024-11-25 17:43
[11-26 04:39:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 0/1669] eta: 0:12:53 tlr: 1.8e-05 tnm: 0.61 Lm: 6.571 (6.571) Lt: 5.842 (5.842) Accm: 3.23 (3.23) Acct: 5.34 (5.34) proj_loss: -0.6068 (-0.6068) time: 0.4632 data: 0.0003
[11-26 04:39:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 0/1669] eta: 0:12:48 tlr: 1.8e-05 tnm: 0.61 Lm: 6.456 (6.456) Lt: 5.717 (5.717) Accm: 3.71 (3.71) Acct: 5.77 (5.77) proj_loss: -0.6143 (-0.6143) time: 0.4606 data: 0.0004
[11-26 04:39:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 0/1669] eta: 0:12:53 tlr: 1.8e-05 tnm: 0.61 Lm: 6.442 (6.442) Lt: 5.702 (5.702) Accm: 3.60 (3.60) Acct: 5.39 (5.39) proj_loss: -0.6081 (-0.6081) time: 0.4634 data: 0.0003
[11-26 04:39:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 0/1669] eta: 0:12:53 tlr: 1.8e-05 tnm: 0.61 Lm: 6.590 (6.590) Lt: 5.782 (5.782) Accm: 3.09 (3.09) Acct: 4.94 (4.94) proj_loss: -0.6156 (-0.6156) time: 0.4636 data: 0.0004
[11-26 04:43:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 417/1669] eta: 0:10:28 tlr: 1.8e-05 tnm: 0.62 Lm: 6.431 (6.431) Lt: 5.623 (5.623) Accm: 3.51 (3.51) Acct: 5.57 (5.57) proj_loss: -0.6078 (-0.6078) time: 0.5497 data: 0.0002
[11-26 04:43:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 417/1669] eta: 0:10:28 tlr: 1.8e-05 tnm: 0.62 Lm: 6.531 (6.531) Lt: 5.821 (5.821) Accm: 3.49 (3.49) Acct: 5.35 (5.35) proj_loss: -0.6202 (-0.6202) time: 0.5497 data: 0.0003
[11-26 04:43:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 417/1669] eta: 0:10:28 tlr: 1.8e-05 tnm: 0.62 Lm: 6.531 (6.531) Lt: 5.801 (5.801) Accm: 3.40 (3.40) Acct: 5.17 (5.17) proj_loss: -0.6128 (-0.6128) time: 0.5497 data: 0.0003
[11-26 04:43:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 417/1669] eta: 0:10:28 tlr: 1.8e-05 tnm: 0.62 Lm: 6.557 (6.557) Lt: 5.860 (5.860) Accm: 3.21 (3.21) Acct: 5.13 (5.13) proj_loss: -0.6055 (-0.6055) time: 0.5498 data: 0.0003
[11-26 04:46:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 834/1669] eta: 0:06:59 tlr: 1.8e-05 tnm: 0.62 Lm: 6.560 (6.558) Lt: 5.842 (5.850) Accm: 3.23 (3.25) Acct: 5.18 (5.15) proj_loss: -0.6068 (-0.6066) time: 0.4919 data: 0.0003
[11-26 04:46:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 834/1669] eta: 0:06:59 tlr: 1.8e-05 tnm: 0.62 Lm: 6.514 (6.525) Lt: 5.777 (5.806) Accm: 3.26 (3.40) Acct: 4.98 (5.22) proj_loss: -0.6143 (-0.6156) time: 0.4919 data: 0.0003
[11-26 04:46:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 834/1669] eta: 0:06:59 tlr: 1.8e-05 tnm: 0.62 Lm: 6.561 (6.474) Lt: 5.782 (5.680) Accm: 3.43 (3.48) Acct: 5.51 (5.55) proj_loss: -0.6038 (-0.6065) time: 0.4919 data: 0.0003
[11-26 04:46:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [ 834/1669] eta: 0:06:59 tlr: 1.8e-05 tnm: 0.62 Lm: 6.574 (6.545) Lt: 5.857 (5.819) Accm: 3.26 (3.35) Acct: 4.98 (5.11) proj_loss: -0.6081 (-0.6061) time: 0.4919 data: 0.0003
[11-26 04:50:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1251/1669] eta: 0:03:30 tlr: 1.8e-05 tnm: 0.63 Lm: 6.565 (6.548) Lt: 5.836 (5.818) Accm: 3.31 (3.35) Acct: 4.98 (5.08) proj_loss: -0.6004 (-0.6017) time: 0.4907 data: 0.0003
[11-26 04:50:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1251/1669] eta: 0:03:30 tlr: 1.8e-05 tnm: 0.63 Lm: 6.552 (6.548) Lt: 5.835 (5.832) Accm: 3.24 (3.25) Acct: 5.26 (5.23) proj_loss: -0.6055 (-0.6049) time: 0.4907 data: 0.0003
[11-26 04:50:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1251/1669] eta: 0:03:30 tlr: 1.8e-05 tnm: 0.63 Lm: 6.564 (6.498) Lt: 5.788 (5.712) Accm: 3.42 (3.47) Acct: 5.54 (5.55) proj_loss: -0.6023 (-0.6051) time: 0.4907 data: 0.0003
[11-26 04:50:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1251/1669] eta: 0:03:30 tlr: 1.8e-05 tnm: 0.63 Lm: 6.507 (6.519) Lt: 5.747 (5.775) Accm: 3.49 (3.51) Acct: 5.37 (5.47) proj_loss: -0.6103 (-0.6093) time: 0.4907 data: 0.0003
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.64 Lm: 6.500 (6.487) Lt: 5.717 (5.737) Accm: 3.71 (3.61) Acct: 5.77 (5.64) proj_loss: -0.6064 (-0.6080) time: 0.5426 data: 0.0018
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 328/350] Total time: 0:14:11 (0.510 s / it)
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.64 Lm: 6.557 (6.540) Lt: 5.815 (5.804) Accm: 3.35 (3.40) Acct: 4.99 (5.19) proj_loss: -0.6044 (-0.6022) time: 0.5426 data: 0.0020
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.64 Lm: 6.543 (6.520) Lt: 5.829 (5.796) Accm: 3.25 (3.34) Acct: 5.34 (5.36) proj_loss: -0.6043 (-0.6037) time: 0.5425 data: 0.0016
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 328/350] [1668/1669] eta: 0:00:00 tlr: 1.8e-05 tnm: 0.64 Lm: 6.561 (6.489) Lt: 5.782 (5.701) Accm: 3.43 (3.51) Acct: 5.56 (5.61) proj_loss: -0.6016 (-0.6044) time: 0.5426 data: 0.0019
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 328/350] Total time: 0:14:11 (0.510 s / it)
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 328/350] Total time: 0:14:11 (0.510 s / it)
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 328/350] Total time: 0:14:11 (0.510 s / it)
[11-26 04:53:49] (/home/user/VAR/train.py , line 276)=> [ep328] (training ) Lm: 6.499 (6.515), Lt: 5.749 (5.771), Acc m&t: 3.43 5.37, Remain: 4:49:40, Finish: 2024-11-25 17:43
[11-26 04:53:49] (/home/user/VAR/train.py , line 276)=> [ep328] (training ) Lm: 6.499 (6.515), Lt: 5.749 (5.771), Acc m&t: 3.43 5.37, Remain: 4:49:42, Finish: 2024-11-25 17:43
[11-26 04:53:49] (/home/user/VAR/train.py , line 276)=> [ep328] (training ) Lm: 6.499 (6.515), Lt: 5.749 (5.771), Acc m&t: 3.43 5.37, Remain: 4:49:41, Finish: 2024-11-25 17:43
[11-26 04:53:49] (/home/user/VAR/train.py , line 276)=> [ep328] (training ) Lm: 6.499 (6.515), Lt: 5.749 (5.771), Acc m&t: 3.43 5.37, Remain: 4:49:40, Finish: 2024-11-25 17:43
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 0/1669] eta: 0:12:54 tlr: 1.8e-05 tnm: 0.62 Lm: 6.611 (6.611) Lt: 5.890 (5.890) Accm: 3.10 (3.10) Acct: 4.70 (4.70) proj_loss: -0.6005 (-0.6005) time: 0.4639 data: 0.0003
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 0/1669] eta: 0:12:50 tlr: 1.8e-05 tnm: 0.62 Lm: 6.600 (6.600) Lt: 5.883 (5.883) Accm: 3.02 (3.02) Acct: 4.72 (4.72) proj_loss: -0.6119 (-0.6119) time: 0.4617 data: 0.0004
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 0/1669] eta: 0:12:58 tlr: 1.8e-05 tnm: 0.62 Lm: 6.465 (6.465) Lt: 5.739 (5.739) Accm: 3.63 (3.63) Acct: 5.61 (5.61) proj_loss: -0.6179 (-0.6179) time: 0.4666 data: 0.0003
[11-26 04:53:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 0/1669] eta: 0:13:06 tlr: 1.8e-05 tnm: 0.62 Lm: 6.485 (6.485) Lt: 5.707 (5.707) Accm: 3.74 (3.74) Acct: 5.85 (5.85) proj_loss: -0.6069 (-0.6069) time: 0.4714 data: 0.0004
[11-26 04:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 417/1669] eta: 0:10:37 tlr: 1.8e-05 tnm: 0.63 Lm: 6.545 (6.545) Lt: 5.791 (5.791) Accm: 3.31 (3.31) Acct: 5.19 (5.19) proj_loss: -0.6041 (-0.6041) time: 0.5403 data: 0.0003
[11-26 04:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 417/1669] eta: 0:10:37 tlr: 1.8e-05 tnm: 0.63 Lm: 6.484 (6.484) Lt: 5.762 (5.762) Accm: 3.46 (3.46) Acct: 5.47 (5.47) proj_loss: -0.6085 (-0.6085) time: 0.5403 data: 0.0003
[11-26 04:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 417/1669] eta: 0:10:37 tlr: 1.8e-05 tnm: 0.63 Lm: 6.570 (6.570) Lt: 5.831 (5.831) Accm: 3.08 (3.08) Acct: 4.80 (4.80) proj_loss: -0.6072 (-0.6072) time: 0.5403 data: 0.0003
[11-26 04:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 417/1669] eta: 0:10:37 tlr: 1.8e-05 tnm: 0.63 Lm: 6.617 (6.617) Lt: 5.898 (5.898) Accm: 3.08 (3.08) Acct: 4.74 (4.74) proj_loss: -0.5973 (-0.5973) time: 0.5403 data: 0.0003
[11-26 05:00:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 834/1669] eta: 0:07:04 tlr: 1.7e-05 tnm: 0.63 Lm: 6.611 (6.558) Lt: 5.890 (5.826) Accm: 3.10 (3.34) Acct: 4.79 (5.24) proj_loss: -0.6005 (-0.6029) time: 0.4903 data: 0.0003
[11-26 05:00:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 834/1669] eta: 0:07:04 tlr: 1.7e-05 tnm: 0.63 Lm: 6.517 (6.535) Lt: 5.759 (5.780) Accm: 3.34 (3.32) Acct: 5.18 (5.19) proj_loss: -0.6069 (-0.6066) time: 0.4903 data: 0.0003
[11-26 05:00:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 834/1669] eta: 0:07:04 tlr: 1.7e-05 tnm: 0.63 Lm: 6.540 (6.496) Lt: 5.780 (5.744) Accm: 3.15 (3.27) Acct: 4.87 (5.10) proj_loss: -0.6043 (-0.6062) time: 0.4903 data: 0.0003
[11-26 05:00:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [ 834/1669] eta: 0:07:04 tlr: 1.7e-05 tnm: 0.63 Lm: 6.465 (6.474) Lt: 5.739 (5.752) Accm: 3.63 (3.57) Acct: 5.61 (5.60) proj_loss: -0.5992 (-0.6015) time: 0.4903 data: 0.0003
[11-26 05:04:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1251/1669] eta: 0:03:30 tlr: 1.7e-05 tnm: 0.63 Lm: 6.484 (6.521) Lt: 5.762 (5.813) Accm: 3.46 (3.40) Acct: 5.47 (5.29) proj_loss: -0.6085 (-0.6091) time: 0.4932 data: 0.0003
[11-26 05:04:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1251/1669] eta: 0:03:30 tlr: 1.7e-05 tnm: 0.63 Lm: 6.501 (6.521) Lt: 5.770 (5.780) Accm: 3.28 (3.29) Acct: 5.05 (5.12) proj_loss: -0.6092 (-0.6103) time: 0.4932 data: 0.0003
[11-26 05:04:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1251/1669] eta: 0:03:30 tlr: 1.7e-05 tnm: 0.63 Lm: 6.530 (6.502) Lt: 5.751 (5.739) Accm: 3.26 (3.29) Acct: 5.10 (5.15) proj_loss: -0.6056 (-0.6064) time: 0.4932 data: 0.0003
[11-26 05:04:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1251/1669] eta: 0:03:30 tlr: 1.7e-05 tnm: 0.63 Lm: 6.543 (6.537) Lt: 5.787 (5.788) Accm: 3.32 (3.39) Acct: 5.29 (5.38) proj_loss: -0.6073 (-0.6082) time: 0.4932 data: 0.0003
[11-26 05:07:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1668/1669] eta: 0:00:00 tlr: 1.7e-05 tnm: 0.64 Lm: 6.544 (6.538) Lt: 5.733 (5.777) Accm: 3.19 (3.35) Acct: 5.08 (5.32) proj_loss: -0.6141 (-0.6099) time: 0.4896 data: 0.0016
[11-26 05:07:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 329/350] Total time: 0:14:02 (0.505 s / it)
[11-26 05:07:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1668/1669] eta: 0:00:00 tlr: 1.7e-05 tnm: 0.64 Lm: 6.520 (6.503) Lt: 5.749 (5.741) Accm: 3.37 (3.31) Acct: 5.23 (5.17) proj_loss: -0.6070 (-0.6070) time: 0.4896 data: 0.0018
[11-26 05:07:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1668/1669] eta: 0:00:00 tlr: 1.7e-05 tnm: 0.64 Lm: 6.487 (6.514) Lt: 5.739 (5.788) Accm: 3.51 (3.43) Acct: 5.56 (5.34) proj_loss: -0.6073 (-0.6087) time: 0.4896 data: 0.0016
[11-26 05:07:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 329/350] [1668/1669] eta: 0:00:00 tlr: 1.7e-05 tnm: 0.64 Lm: 6.485 (6.498) Lt: 5.759 (5.752) Accm: 3.34 (3.34) Acct: 5.18 (5.21) proj_loss: -0.6084 (-0.6099) time: 0.4896 data: 0.0018
[11-26 05:07:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 329/350] Total time: 0:14:02 (0.505 s / it)
[11-26 05:07:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 329/350] Total time: 0:14:02 (0.505 s / it)
[11-26 05:07:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 329/350] Total time: 0:14:02 (0.505 s / it)
[11-26 05:10:12] (home/user/VAR/trainer.py, line 114)=> FID: 3.087845514487128
[11-26 05:10:13] (/home/user/VAR/train.py , line 259)=> [*] [ep329] (val 50000) Lm: 6.5211, Lt: 5.7746, Acc m&t: 3.36 5.27, Val cost: 141.53s
[11-26 05:10:13] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-26 05:10:36] (/home/user/VAR/train.py , line 276)=> [ep329] (training ) Lm: 6.499 (6.521), Lt: 5.749 (5.775), Acc m&t: 3.43 5.37, Remain: 4:36:25, Finish: 2024-11-25 17:44
[11-26 05:10:36] (/home/user/VAR/train.py , line 276)=> [ep329] (training ) Lm: 6.499 (6.521), Lt: 5.749 (5.775), Acc m&t: 3.43 5.37, Remain: 4:36:20, Finish: 2024-11-25 17:44
[11-26 05:10:36] (/home/user/VAR/train.py , line 276)=> [ep329] (training ) Lm: 6.499 (6.521), Lt: 5.749 (5.775), Acc m&t: 3.43 5.37, Remain: 4:36:23, Finish: 2024-11-25 17:44
[11-26 05:10:36] (/home/user/VAR/train.py , line 276)=> [ep329] (training ) Lm: 6.499 (6.521), Lt: 5.749 (5.775), Acc m&t: 3.43 5.37, Remain: 4:36:20, Finish: 2024-11-25 17:44
[11-26 05:10:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 0/1669] eta: 0:13:09 tlr: 1.7e-05 tnm: 0.64 Lm: 6.686 (6.686) Lt: 6.014 (6.014) Accm: 3.10 (3.10) Acct: 4.68 (4.68) proj_loss: -0.6239 (-0.6239) time: 0.4729 data: 0.0004
[11-26 05:10:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 0/1669] eta: 0:13:09 tlr: 1.7e-05 tnm: 0.64 Lm: 6.665 (6.665) Lt: 5.929 (5.929) Accm: 3.17 (3.17) Acct: 5.15 (5.15) proj_loss: -0.5935 (-0.5935) time: 0.4728 data: 0.0003
[11-26 05:10:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 0/1669] eta: 0:13:08 tlr: 1.7e-05 tnm: 0.64 Lm: 6.474 (6.474) Lt: 5.734 (5.734) Accm: 3.52 (3.52) Acct: 5.37 (5.37) proj_loss: -0.6060 (-0.6060) time: 0.4726 data: 0.0003
[11-26 05:10:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 0/1669] eta: 0:13:37 tlr: 1.7e-05 tnm: 0.64 Lm: 6.550 (6.550) Lt: 5.800 (5.800) Accm: 3.15 (3.15) Acct: 5.15 (5.15) proj_loss: -0.6224 (-0.6224) time: 0.4896 data: 0.0003
[11-26 05:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 417/1669] eta: 0:10:51 tlr: 1.7e-05 tnm: 0.65 Lm: 6.579 (6.579) Lt: 5.836 (5.836) Accm: 3.04 (3.04) Acct: 4.84 (4.84) proj_loss: -0.6116 (-0.6116) time: 0.4891 data: 0.0003
[11-26 05:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 417/1669] eta: 0:10:51 tlr: 1.7e-05 tnm: 0.65 Lm: 6.459 (6.459) Lt: 5.725 (5.725) Accm: 3.40 (3.40) Acct: 5.23 (5.23) proj_loss: -0.6157 (-0.6157) time: 0.4891 data: 0.0003
[11-26 05:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 417/1669] eta: 0:10:51 tlr: 1.7e-05 tnm: 0.65 Lm: 6.577 (6.577) Lt: 5.823 (5.823) Accm: 3.29 (3.29) Acct: 5.20 (5.20) proj_loss: -0.6041 (-0.6041) time: 0.4891 data: 0.0003
[11-26 05:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 417/1669] eta: 0:10:51 tlr: 1.7e-05 tnm: 0.65 Lm: 6.537 (6.537) Lt: 5.814 (5.814) Accm: 3.50 (3.50) Acct: 5.49 (5.49) proj_loss: -0.6169 (-0.6169) time: 0.4891 data: 0.0003
[11-26 05:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 834/1669] eta: 0:07:05 tlr: 1.7e-05 tnm: 0.63 Lm: 6.551 (6.542) Lt: 5.816 (5.815) Accm: 3.45 (3.48) Acct: 5.18 (5.39) proj_loss: -0.6122 (-0.6153) time: 0.5400 data: 0.0003
[11-26 05:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 834/1669] eta: 0:07:05 tlr: 1.7e-05 tnm: 0.63 Lm: 6.490 (6.517) Lt: 5.718 (5.754) Accm: 3.42 (3.47) Acct: 5.25 (5.44) proj_loss: -0.5935 (-0.6005) time: 0.5400 data: 0.0003
[11-26 05:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 834/1669] eta: 0:07:05 tlr: 1.7e-05 tnm: 0.63 Lm: 6.474 (6.477) Lt: 5.734 (5.731) Accm: 3.36 (3.38) Acct: 5.29 (5.25) proj_loss: -0.6254 (-0.6192) time: 0.5400 data: 0.0003
[11-26 05:17:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [ 834/1669] eta: 0:07:05 tlr: 1.7e-05 tnm: 0.63 Lm: 6.609 (6.597) Lt: 5.872 (5.861) Accm: 2.94 (2.97) Acct: 4.53 (4.71) proj_loss: -0.6007 (-0.6030) time: 0.5400 data: 0.0003
[11-26 05:21:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1251/1669] eta: 0:03:34 tlr: 1.6e-05 tnm: 0.64 Lm: 6.579 (6.554) Lt: 5.836 (5.801) Accm: 3.04 (3.14) Acct: 4.84 (4.99) proj_loss: -0.6018 (-0.6029) time: 0.4890 data: 0.0003
[11-26 05:21:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1251/1669] eta: 0:03:34 tlr: 1.6e-05 tnm: 0.64 Lm: 6.443 (6.481) Lt: 5.668 (5.720) Accm: 3.46 (3.48) Acct: 5.36 (5.45) proj_loss: -0.5947 (-0.5994) time: 0.4890 data: 0.0003
[11-26 05:21:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1251/1669] eta: 0:03:34 tlr: 1.6e-05 tnm: 0.64 Lm: 6.494 (6.503) Lt: 5.739 (5.746) Accm: 3.32 (3.34) Acct: 5.33 (5.32) proj_loss: -0.6203 (-0.6182) time: 0.4890 data: 0.0003
[11-26 05:21:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1251/1669] eta: 0:03:34 tlr: 1.6e-05 tnm: 0.64 Lm: 6.520 (6.529) Lt: 5.775 (5.795) Accm: 3.57 (3.53) Acct: 5.43 (5.46) proj_loss: -0.6145 (-0.6157) time: 0.4890 data: 0.0003
[11-26 05:24:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.61 Lm: 6.490 (6.497) Lt: 5.735 (5.746) Accm: 3.70 (3.60) Acct: 5.68 (5.57) proj_loss: -0.6122 (-0.6130) time: 0.4877 data: 0.0021
[11-26 05:24:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 330/350] Total time: 0:14:13 (0.511 s / it)
[11-26 05:24:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.61 Lm: 6.513 (6.525) Lt: 5.744 (5.768) Accm: 3.28 (3.30) Acct: 5.29 (5.23) proj_loss: -0.6152 (-0.6150) time: 0.4877 data: 0.0019
[11-26 05:24:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.61 Lm: 6.490 (6.492) Lt: 5.718 (5.733) Accm: 3.42 (3.44) Acct: 5.25 (5.41) proj_loss: -0.5960 (-0.6013) time: 0.4877 data: 0.0016
[11-26 05:24:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 330/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.61 Lm: 6.563 (6.556) Lt: 5.819 (5.805) Accm: 3.15 (3.17) Acct: 5.15 (5.07) proj_loss: -0.6028 (-0.6056) time: 0.4877 data: 0.0013
[11-26 05:24:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 330/350] Total time: 0:14:13 (0.511 s / it)
[11-26 05:24:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 330/350] Total time: 0:14:13 (0.511 s / it)
[11-26 05:24:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 330/350] Total time: 0:14:13 (0.511 s / it)
[11-26 05:24:49] (/home/user/VAR/train.py , line 276)=> [ep330] (training ) Lm: 6.499 (6.503), Lt: 5.749 (5.759), Acc m&t: 3.43 5.37, Remain: 4:21:04, Finish: 2024-11-25 17:45
[11-26 05:24:49] (/home/user/VAR/train.py , line 276)=> [ep330] (training ) Lm: 6.499 (6.503), Lt: 5.749 (5.759), Acc m&t: 3.43 5.37, Remain: 4:21:05, Finish: 2024-11-25 17:45
[11-26 05:24:49] (/home/user/VAR/train.py , line 276)=> [ep330] (training ) Lm: 6.499 (6.503), Lt: 5.749 (5.759), Acc m&t: 3.43 5.37, Remain: 4:20:54, Finish: 2024-11-25 17:45
[11-26 05:24:49] (/home/user/VAR/train.py , line 276)=> [ep330] (training ) Lm: 6.499 (6.503), Lt: 5.749 (5.759), Acc m&t: 3.43 5.37, Remain: 4:20:58, Finish: 2024-11-25 17:45
[11-26 05:24:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 0/1669] eta: 0:13:01 tlr: 1.6e-05 tnm: 0.62 Lm: 6.144 (6.144) Lt: 5.395 (5.395) Accm: 4.52 (4.52) Acct: 6.65 (6.65) proj_loss: -0.6144 (-0.6144) time: 0.4682 data: 0.0004
[11-26 05:24:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 0/1669] eta: 0:12:59 tlr: 1.6e-05 tnm: 0.62 Lm: 6.520 (6.520) Lt: 5.811 (5.811) Accm: 3.40 (3.40) Acct: 5.41 (5.41) proj_loss: -0.6028 (-0.6028) time: 0.4672 data: 0.0003
[11-26 05:24:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 0/1669] eta: 0:13:01 tlr: 1.6e-05 tnm: 0.62 Lm: 6.539 (6.539) Lt: 5.818 (5.818) Accm: 3.20 (3.20) Acct: 4.79 (4.79) proj_loss: -0.6335 (-0.6335) time: 0.4680 data: 0.0004
[11-26 05:24:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 0/1669] eta: 0:13:37 tlr: 1.6e-05 tnm: 0.62 Lm: 6.500 (6.500) Lt: 5.778 (5.778) Accm: 3.66 (3.66) Acct: 5.29 (5.29) proj_loss: -0.5997 (-0.5997) time: 0.4898 data: 0.0003
[11-26 05:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 417/1669] eta: 0:10:28 tlr: 1.6e-05 tnm: 0.62 Lm: 6.532 (6.532) Lt: 5.818 (5.818) Accm: 3.45 (3.45) Acct: 5.12 (5.12) proj_loss: -0.6073 (-0.6073) time: 0.4861 data: 0.0003
[11-26 05:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 417/1669] eta: 0:10:28 tlr: 1.6e-05 tnm: 0.62 Lm: 6.488 (6.488) Lt: 5.757 (5.757) Accm: 3.42 (3.42) Acct: 4.99 (4.99) proj_loss: -0.6291 (-0.6291) time: 0.4861 data: 0.0003
[11-26 05:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 417/1669] eta: 0:10:28 tlr: 1.6e-05 tnm: 0.62 Lm: 6.503 (6.503) Lt: 5.763 (5.763) Accm: 3.48 (3.48) Acct: 5.53 (5.53) proj_loss: -0.6061 (-0.6061) time: 0.4862 data: 0.0003
[11-26 05:28:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 417/1669] eta: 0:10:28 tlr: 1.6e-05 tnm: 0.62 Lm: 6.301 (6.301) Lt: 5.531 (5.531) Accm: 4.21 (4.21) Acct: 6.42 (6.42) proj_loss: -0.6163 (-0.6163) time: 0.4861 data: 0.0003
[11-26 05:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 834/1669] eta: 0:07:00 tlr: 1.6e-05 tnm: 0.61 Lm: 6.458 (6.390) Lt: 5.668 (5.663) Accm: 3.89 (3.84) Acct: 6.20 (5.88) proj_loss: -0.6162 (-0.6163) time: 0.4896 data: 0.0003
[11-26 05:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 834/1669] eta: 0:07:00 tlr: 1.6e-05 tnm: 0.61 Lm: 6.500 (6.499) Lt: 5.778 (5.777) Accm: 3.66 (3.58) Acct: 5.29 (5.35) proj_loss: -0.6149 (-0.6122) time: 0.4896 data: 0.0003
[11-26 05:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 834/1669] eta: 0:07:00 tlr: 1.6e-05 tnm: 0.61 Lm: 6.493 (6.500) Lt: 5.716 (5.745) Accm: 3.40 (3.44) Acct: 5.42 (5.49) proj_loss: -0.6028 (-0.6044) time: 0.4896 data: 0.0003
[11-26 05:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [ 834/1669] eta: 0:07:00 tlr: 1.6e-05 tnm: 0.61 Lm: 6.539 (6.553) Lt: 5.818 (5.814) Accm: 3.20 (3.21) Acct: 4.79 (4.76) proj_loss: -0.6248 (-0.6216) time: 0.4896 data: 0.0003
[11-26 05:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1251/1669] eta: 0:03:32 tlr: 1.6e-05 tnm: 0.63 Lm: 6.541 (6.551) Lt: 5.805 (5.809) Accm: 3.18 (3.19) Acct: 4.95 (4.85) proj_loss: -0.6156 (-0.6118) time: 0.4936 data: 0.0003
[11-26 05:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1251/1669] eta: 0:03:32 tlr: 1.6e-05 tnm: 0.63 Lm: 6.532 (6.526) Lt: 5.818 (5.818) Accm: 3.45 (3.48) Acct: 5.12 (5.17) proj_loss: -0.6184 (-0.6164) time: 0.4936 data: 0.0003
[11-26 05:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1251/1669] eta: 0:03:32 tlr: 1.6e-05 tnm: 0.63 Lm: 6.507 (6.542) Lt: 5.763 (5.775) Accm: 3.38 (3.28) Acct: 5.41 (5.29) proj_loss: -0.6019 (-0.6034) time: 0.4936 data: 0.0003
[11-26 05:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1251/1669] eta: 0:03:32 tlr: 1.6e-05 tnm: 0.63 Lm: 6.514 (6.461) Lt: 5.798 (5.753) Accm: 3.50 (3.57) Acct: 5.49 (5.45) proj_loss: -0.6172 (-0.6170) time: 0.4936 data: 0.0003
[11-26 05:39:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.64 Lm: 6.463 (6.462) Lt: 5.736 (5.750) Accm: 3.75 (3.60) Acct: 5.73 (5.50) proj_loss: -0.6162 (-0.6120) time: 0.4918 data: 0.0018
[11-26 05:39:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 331/350] Total time: 0:14:14 (0.512 s / it)
[11-26 05:39:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.64 Lm: 6.539 (6.528) Lt: 5.792 (5.792) Accm: 3.20 (3.29) Acct: 5.11 (4.95) proj_loss: -0.6248 (-0.6148) time: 0.4918 data: 0.0016
[11-26 05:39:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.64 Lm: 6.493 (6.528) Lt: 5.717 (5.763) Accm: 3.40 (3.34) Acct: 5.42 (5.40) proj_loss: -0.6011 (-0.6028) time: 0.4918 data: 0.0019
[11-26 05:39:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 331/350] [1668/1669] eta: 0:00:00 tlr: 1.6e-05 tnm: 0.64 Lm: 6.500 (6.503) Lt: 5.778 (5.778) Accm: 3.66 (3.54) Acct: 5.29 (5.28) proj_loss: -0.6149 (-0.6123) time: 0.4918 data: 0.0018
[11-26 05:39:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 331/350] Total time: 0:14:14 (0.512 s / it)
[11-26 05:39:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 331/350] Total time: 0:14:14 (0.512 s / it)
[11-26 05:39:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 331/350] Total time: 0:14:14 (0.512 s / it)
[11-26 05:39:04] (/home/user/VAR/train.py , line 276)=> [ep331] (training ) Lm: 6.499 (6.527), Lt: 5.749 (5.789), Acc m&t: 3.43 5.37, Remain: 4:09:11, Finish: 2024-11-25 17:48
[11-26 05:39:04] (/home/user/VAR/train.py , line 276)=> [ep331] (training ) Lm: 6.499 (6.527), Lt: 5.749 (5.789), Acc m&t: 3.43 5.37, Remain: 4:09:07, Finish: 2024-11-25 17:48
[11-26 05:39:04] (/home/user/VAR/train.py , line 276)=> [ep331] (training ) Lm: 6.499 (6.527), Lt: 5.749 (5.789), Acc m&t: 3.43 5.37, Remain: 4:09:11, Finish: 2024-11-25 17:48
[11-26 05:39:04] (/home/user/VAR/train.py , line 276)=> [ep331] (training ) Lm: 6.499 (6.527), Lt: 5.749 (5.789), Acc m&t: 3.43 5.37, Remain: 4:09:08, Finish: 2024-11-25 17:48
[11-26 05:39:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 0/1669] eta: 0:12:58 tlr: 1.6e-05 tnm: 0.64 Lm: 6.433 (6.433) Lt: 5.678 (5.678) Accm: 3.65 (3.65) Acct: 5.84 (5.84) proj_loss: -0.6015 (-0.6015) time: 0.4666 data: 0.0003
[11-26 05:39:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 0/1669] eta: 0:12:58 tlr: 1.6e-05 tnm: 0.64 Lm: 6.501 (6.501) Lt: 5.768 (5.768) Accm: 3.44 (3.44) Acct: 5.29 (5.29) proj_loss: -0.6331 (-0.6331) time: 0.4666 data: 0.0004
[11-26 05:39:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 0/1669] eta: 0:12:59 tlr: 1.6e-05 tnm: 0.64 Lm: 6.521 (6.521) Lt: 5.748 (5.748) Accm: 3.33 (3.33) Acct: 5.32 (5.32) proj_loss: -0.6101 (-0.6101) time: 0.4669 data: 0.0004
[11-26 05:39:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 0/1669] eta: 0:13:03 tlr: 1.6e-05 tnm: 0.64 Lm: 6.573 (6.573) Lt: 5.791 (5.791) Accm: 3.13 (3.13) Acct: 5.06 (5.06) proj_loss: -0.5878 (-0.5878) time: 0.4695 data: 0.0004
[11-26 05:42:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 417/1669] eta: 0:10:38 tlr: 1.5e-05 tnm: 0.63 Lm: 6.557 (6.557) Lt: 5.806 (5.806) Accm: 3.28 (3.28) Acct: 5.15 (5.15) proj_loss: -0.5959 (-0.5959) time: 0.5426 data: 0.0003
[11-26 05:42:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 417/1669] eta: 0:10:38 tlr: 1.5e-05 tnm: 0.63 Lm: 6.483 (6.483) Lt: 5.761 (5.761) Accm: 3.55 (3.55) Acct: 5.42 (5.42) proj_loss: -0.6311 (-0.6311) time: 0.5426 data: 0.0003
[11-26 05:42:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 417/1669] eta: 0:10:38 tlr: 1.5e-05 tnm: 0.63 Lm: 6.522 (6.522) Lt: 5.749 (5.749) Accm: 3.30 (3.30) Acct: 5.28 (5.28) proj_loss: -0.6010 (-0.6010) time: 0.5426 data: 0.0003
[11-26 05:42:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 417/1669] eta: 0:10:38 tlr: 1.5e-05 tnm: 0.63 Lm: 6.466 (6.466) Lt: 5.679 (5.679) Accm: 3.51 (3.51) Acct: 5.43 (5.43) proj_loss: -0.6090 (-0.6090) time: 0.5426 data: 0.0003
[11-26 05:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 834/1669] eta: 0:07:02 tlr: 1.5e-05 tnm: 0.62 Lm: 6.521 (6.557) Lt: 5.748 (5.804) Accm: 3.33 (3.34) Acct: 5.32 (5.19) proj_loss: -0.6079 (-0.6021) time: 0.4898 data: 0.0003
[11-26 05:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 834/1669] eta: 0:07:02 tlr: 1.5e-05 tnm: 0.62 Lm: 6.489 (6.485) Lt: 5.768 (5.768) Accm: 3.66 (3.65) Acct: 5.56 (5.54) proj_loss: -0.6292 (-0.6288) time: 0.4898 data: 0.0003
[11-26 05:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 834/1669] eta: 0:07:02 tlr: 1.5e-05 tnm: 0.62 Lm: 6.611 (6.558) Lt: 5.820 (5.805) Accm: 2.95 (3.17) Acct: 4.72 (5.07) proj_loss: -0.6005 (-0.5999) time: 0.4898 data: 0.0003
[11-26 05:46:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [ 834/1669] eta: 0:07:02 tlr: 1.5e-05 tnm: 0.62 Lm: 6.541 (6.530) Lt: 5.791 (5.784) Accm: 3.21 (3.26) Acct: 5.06 (5.02) proj_loss: -0.6039 (-0.6002) time: 0.4898 data: 0.0003
[11-26 05:49:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1251/1669] eta: 0:03:29 tlr: 1.5e-05 tnm: 0.63 Lm: 6.557 (6.574) Lt: 5.806 (5.848) Accm: 3.17 (3.16) Acct: 4.92 (4.86) proj_loss: -0.6057 (-0.6021) time: 0.4905 data: 0.0003
[11-26 05:49:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1251/1669] eta: 0:03:29 tlr: 1.5e-05 tnm: 0.63 Lm: 6.522 (6.517) Lt: 5.749 (5.766) Accm: 3.30 (3.31) Acct: 5.28 (5.31) proj_loss: -0.5990 (-0.5971) time: 0.4905 data: 0.0002
[11-26 05:49:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1251/1669] eta: 0:03:29 tlr: 1.5e-05 tnm: 0.63 Lm: 6.495 (6.511) Lt: 5.775 (5.807) Accm: 3.55 (3.53) Acct: 5.42 (5.35) proj_loss: -0.6267 (-0.6224) time: 0.4905 data: 0.0003
[11-26 05:49:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1251/1669] eta: 0:03:29 tlr: 1.5e-05 tnm: 0.63 Lm: 6.466 (6.497) Lt: 5.679 (5.740) Accm: 3.51 (3.47) Acct: 5.43 (5.41) proj_loss: -0.6056 (-0.6024) time: 0.4905 data: 0.0003
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1668/1669] eta: 0:00:00 tlr: 1.5e-05 tnm: 0.62 Lm: 6.458 (6.490) Lt: 5.748 (5.748) Accm: 3.59 (3.50) Acct: 5.48 (5.43) proj_loss: -0.6079 (-0.6042) time: 0.5420 data: 0.0019
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 332/350] Total time: 0:14:07 (0.508 s / it)
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1668/1669] eta: 0:00:00 tlr: 1.5e-05 tnm: 0.62 Lm: 6.611 (6.549) Lt: 5.820 (5.806) Accm: 2.95 (3.23) Acct: 4.89 (5.23) proj_loss: -0.5976 (-0.5964) time: 0.5419 data: 0.0017
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1668/1669] eta: 0:00:00 tlr: 1.5e-05 tnm: 0.62 Lm: 6.501 (6.521) Lt: 5.768 (5.798) Accm: 3.53 (3.53) Acct: 5.53 (5.39) proj_loss: -0.6242 (-0.6180) time: 0.5420 data: 0.0018
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 332/350] [1668/1669] eta: 0:00:00 tlr: 1.5e-05 tnm: 0.62 Lm: 6.541 (6.555) Lt: 5.791 (5.824) Accm: 3.21 (3.22) Acct: 5.06 (4.99) proj_loss: -0.6039 (-0.5997) time: 0.5420 data: 0.0017
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 332/350] Total time: 0:14:07 (0.508 s / it)
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 332/350] Total time: 0:14:07 (0.508 s / it)
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 332/350] Total time: 0:14:07 (0.508 s / it)
[11-26 05:53:12] (/home/user/VAR/train.py , line 276)=> [ep332] (training ) Lm: 6.499 (6.514), Lt: 5.749 (5.769), Acc m&t: 3.43 5.37, Remain: 3:55:45, Finish: 2024-11-25 17:48
[11-26 05:53:12] (/home/user/VAR/train.py , line 276)=> [ep332] (training ) Lm: 6.499 (6.514), Lt: 5.749 (5.769), Acc m&t: 3.43 5.37, Remain: 3:55:41, Finish: 2024-11-25 17:48
[11-26 05:53:12] (/home/user/VAR/train.py , line 276)=> [ep332] (training ) Lm: 6.499 (6.514), Lt: 5.749 (5.769), Acc m&t: 3.43 5.37, Remain: 3:55:42, Finish: 2024-11-25 17:48
[11-26 05:53:12] (/home/user/VAR/train.py , line 276)=> [ep332] (training ) Lm: 6.499 (6.514), Lt: 5.749 (5.769), Acc m&t: 3.43 5.37, Remain: 3:55:38, Finish: 2024-11-25 17:48
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 0/1669] eta: 0:13:02 tlr: 1.5e-05 tnm: 0.65 Lm: 6.591 (6.591) Lt: 5.877 (5.877) Accm: 3.12 (3.12) Acct: 4.80 (4.80) proj_loss: -0.6015 (-0.6015) time: 0.4690 data: 0.0004
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 0/1669] eta: 0:13:04 tlr: 1.5e-05 tnm: 0.65 Lm: 6.301 (6.301) Lt: 5.599 (5.599) Accm: 3.88 (3.88) Acct: 5.84 (5.84) proj_loss: -0.6099 (-0.6099) time: 0.4700 data: 0.0004
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 0/1669] eta: 0:13:04 tlr: 1.5e-05 tnm: 0.65 Lm: 6.557 (6.557) Lt: 5.880 (5.880) Accm: 2.94 (2.94) Acct: 4.61 (4.61) proj_loss: -0.6120 (-0.6120) time: 0.4700 data: 0.0003
[11-26 05:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 0/1669] eta: 0:13:03 tlr: 1.5e-05 tnm: 0.65 Lm: 6.426 (6.426) Lt: 5.688 (5.688) Accm: 3.65 (3.65) Acct: 5.61 (5.61) proj_loss: -0.6080 (-0.6080) time: 0.4697 data: 0.0004
[11-26 05:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 417/1669] eta: 0:10:25 tlr: 1.5e-05 tnm: 0.64 Lm: 6.471 (6.471) Lt: 5.708 (5.708) Accm: 3.58 (3.58) Acct: 5.78 (5.78) proj_loss: -0.5984 (-0.5984) time: 0.4870 data: 0.0003
[11-26 05:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 417/1669] eta: 0:10:25 tlr: 1.5e-05 tnm: 0.64 Lm: 6.443 (6.443) Lt: 5.727 (5.727) Accm: 3.49 (3.49) Acct: 5.44 (5.44) proj_loss: -0.6028 (-0.6028) time: 0.4870 data: 0.0003
[11-26 05:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 417/1669] eta: 0:10:25 tlr: 1.5e-05 tnm: 0.64 Lm: 6.508 (6.508) Lt: 5.750 (5.750) Accm: 3.25 (3.25) Acct: 5.10 (5.10) proj_loss: -0.5968 (-0.5968) time: 0.4870 data: 0.0003
[11-26 05:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 417/1669] eta: 0:10:25 tlr: 1.5e-05 tnm: 0.64 Lm: 6.507 (6.507) Lt: 5.777 (5.777) Accm: 3.39 (3.39) Acct: 5.23 (5.23) proj_loss: -0.6031 (-0.6031) time: 0.4870 data: 0.0003
[11-26 06:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 834/1669] eta: 0:07:04 tlr: 1.4e-05 tnm: 0.63 Lm: 6.552 (6.522) Lt: 5.846 (5.800) Accm: 3.12 (3.27) Acct: 4.80 (4.97) proj_loss: -0.6048 (-0.6130) time: 0.5988 data: 0.0003
[11-26 06:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 834/1669] eta: 0:07:04 tlr: 1.4e-05 tnm: 0.63 Lm: 6.557 (6.554) Lt: 5.880 (5.811) Accm: 2.94 (3.14) Acct: 4.61 (4.93) proj_loss: -0.6120 (-0.6020) time: 0.5988 data: 0.0003
[11-26 06:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 834/1669] eta: 0:07:04 tlr: 1.4e-05 tnm: 0.63 Lm: 6.569 (6.485) Lt: 5.746 (5.733) Accm: 3.12 (3.37) Acct: 5.15 (5.34) proj_loss: -0.5958 (-0.5945) time: 0.5988 data: 0.0003
[11-26 06:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [ 834/1669] eta: 0:07:04 tlr: 1.4e-05 tnm: 0.63 Lm: 6.516 (6.486) Lt: 5.727 (5.730) Accm: 3.52 (3.55) Acct: 5.61 (5.66) proj_loss: -0.5972 (-0.5980) time: 0.5988 data: 0.0003
[11-26 06:03:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1251/1669] eta: 0:03:34 tlr: 1.4e-05 tnm: 0.63 Lm: 6.476 (6.474) Lt: 5.708 (5.720) Accm: 3.55 (3.56) Acct: 5.67 (5.68) proj_loss: -0.6023 (-0.6003) time: 0.4890 data: 0.0003
[11-26 06:03:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1251/1669] eta: 0:03:34 tlr: 1.4e-05 tnm: 0.63 Lm: 6.554 (6.553) Lt: 5.829 (5.803) Accm: 3.01 (3.13) Acct: 4.79 (4.94) proj_loss: -0.6045 (-0.6007) time: 0.4890 data: 0.0003
[11-26 06:03:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1251/1669] eta: 0:03:34 tlr: 1.4e-05 tnm: 0.63 Lm: 6.481 (6.462) Lt: 5.672 (5.693) Accm: 3.45 (3.47) Acct: 5.49 (5.48) proj_loss: -0.5935 (-0.5936) time: 0.4890 data: 0.0003
[11-26 06:03:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1251/1669] eta: 0:03:34 tlr: 1.4e-05 tnm: 0.63 Lm: 6.560 (6.533) Lt: 5.821 (5.799) Accm: 3.27 (3.31) Acct: 5.23 (5.18) proj_loss: -0.6065 (-0.6118) time: 0.4890 data: 0.0003
[11-26 06:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1668/1669] eta: 0:00:00 tlr: 1.4e-05 tnm: 0.63 Lm: 6.552 (6.520) Lt: 5.796 (5.777) Accm: 3.15 (3.28) Acct: 5.08 (5.16) proj_loss: -0.6082 (-0.6115) time: 0.4909 data: 0.0014
[11-26 06:07:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 333/350] Total time: 0:14:08 (0.509 s / it)
[11-26 06:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1668/1669] eta: 0:00:00 tlr: 1.4e-05 tnm: 0.63 Lm: 6.498 (6.469) Lt: 5.746 (5.703) Accm: 3.77 (3.53) Acct: 5.65 (5.51) proj_loss: -0.5912 (-0.5928) time: 0.4909 data: 0.0017
[11-26 06:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1668/1669] eta: 0:00:00 tlr: 1.4e-05 tnm: 0.63 Lm: 6.550 (6.534) Lt: 5.778 (5.776) Accm: 3.09 (3.14) Acct: 4.96 (5.00) proj_loss: -0.6011 (-0.6008) time: 0.4909 data: 0.0017
[11-26 06:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 333/350] [1668/1669] eta: 0:00:00 tlr: 1.4e-05 tnm: 0.63 Lm: 6.437 (6.448) Lt: 5.689 (5.681) Accm: 3.58 (3.68) Acct: 5.73 (5.86) proj_loss: -0.6073 (-0.6033) time: 0.4909 data: 0.0017
[11-26 06:07:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 333/350] Total time: 0:14:08 (0.509 s / it)
[11-26 06:07:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 333/350] Total time: 0:14:08 (0.509 s / it)
[11-26 06:07:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 333/350] Total time: 0:14:08 (0.509 s / it)
[11-26 06:07:21] (/home/user/VAR/train.py , line 276)=> [ep333] (training ) Lm: 6.499 (6.515), Lt: 5.749 (5.772), Acc m&t: 3.43 5.37, Remain: 3:40:50, Finish: 2024-11-25 17:48
[11-26 06:07:21] (/home/user/VAR/train.py , line 276)=> [ep333] (training ) Lm: 6.499 (6.515), Lt: 5.749 (5.772), Acc m&t: 3.43 5.37, Remain: 3:40:48, Finish: 2024-11-25 17:48
[11-26 06:07:21] (/home/user/VAR/train.py , line 276)=> [ep333] (training ) Lm: 6.499 (6.515), Lt: 5.749 (5.772), Acc m&t: 3.43 5.37, Remain: 3:40:45, Finish: 2024-11-25 17:48
[11-26 06:07:21] (/home/user/VAR/train.py , line 276)=> [ep333] (training ) Lm: 6.499 (6.515), Lt: 5.749 (5.772), Acc m&t: 3.43 5.37, Remain: 3:40:53, Finish: 2024-11-25 17:48
[11-26 06:07:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 0/1669] eta: 0:12:49 tlr: 1.4e-05 tnm: 0.64 Lm: 6.417 (6.417) Lt: 5.638 (5.638) Accm: 3.96 (3.96) Acct: 6.13 (6.13) proj_loss: -0.5887 (-0.5887) time: 0.4613 data: 0.0002
[11-26 06:07:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 0/1669] eta: 0:12:50 tlr: 1.4e-05 tnm: 0.64 Lm: 6.307 (6.307) Lt: 5.536 (5.536) Accm: 4.07 (4.07) Acct: 6.30 (6.30) proj_loss: -0.5948 (-0.5948) time: 0.4618 data: 0.0004
[11-26 06:07:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 0/1669] eta: 0:12:50 tlr: 1.4e-05 tnm: 0.64 Lm: 6.437 (6.437) Lt: 5.670 (5.670) Accm: 3.55 (3.55) Acct: 5.63 (5.63) proj_loss: -0.6089 (-0.6089) time: 0.4615 data: 0.0004
[11-26 06:07:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 0/1669] eta: 0:12:50 tlr: 1.4e-05 tnm: 0.64 Lm: 6.460 (6.460) Lt: 5.700 (5.700) Accm: 3.72 (3.72) Acct: 6.13 (6.13) proj_loss: -0.6184 (-0.6184) time: 0.4618 data: 0.0004
[11-26 06:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 417/1669] eta: 0:10:31 tlr: 1.4e-05 tnm: 0.62 Lm: 6.458 (6.458) Lt: 5.707 (5.707) Accm: 3.56 (3.56) Acct: 5.73 (5.73) proj_loss: -0.6128 (-0.6128) time: 0.5454 data: 0.0003
[11-26 06:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 417/1669] eta: 0:10:31 tlr: 1.4e-05 tnm: 0.62 Lm: 6.406 (6.406) Lt: 5.626 (5.626) Accm: 3.81 (3.81) Acct: 5.98 (5.98) proj_loss: -0.5955 (-0.5955) time: 0.5454 data: 0.0003
[11-26 06:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 417/1669] eta: 0:10:31 tlr: 1.4e-05 tnm: 0.62 Lm: 6.435 (6.435) Lt: 5.691 (5.691) Accm: 3.67 (3.67) Acct: 5.78 (5.78) proj_loss: -0.6029 (-0.6029) time: 0.5454 data: 0.0003
[11-26 06:10:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 417/1669] eta: 0:10:31 tlr: 1.4e-05 tnm: 0.62 Lm: 6.441 (6.441) Lt: 5.650 (5.650) Accm: 3.50 (3.50) Acct: 5.53 (5.53) proj_loss: -0.5974 (-0.5974) time: 0.5454 data: 0.0003
[11-26 06:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 834/1669] eta: 0:06:59 tlr: 1.4e-05 tnm: 0.64 Lm: 6.437 (6.379) Lt: 5.630 (5.573) Accm: 3.55 (3.65) Acct: 5.63 (5.84) proj_loss: -0.6089 (-0.6077) time: 0.4918 data: 0.0003
[11-26 06:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 834/1669] eta: 0:06:59 tlr: 1.4e-05 tnm: 0.64 Lm: 6.417 (6.425) Lt: 5.638 (5.669) Accm: 3.66 (3.73) Acct: 5.84 (5.80) proj_loss: -0.5998 (-0.5969) time: 0.4918 data: 0.0003
[11-26 06:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 834/1669] eta: 0:06:59 tlr: 1.4e-05 tnm: 0.64 Lm: 6.530 (6.467) Lt: 5.845 (5.745) Accm: 3.26 (3.44) Acct: 5.25 (5.38) proj_loss: -0.6110 (-0.6074) time: 0.4918 data: 0.0003
[11-26 06:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [ 834/1669] eta: 0:06:59 tlr: 1.4e-05 tnm: 0.64 Lm: 6.460 (6.492) Lt: 5.714 (5.737) Accm: 3.40 (3.46) Acct: 5.34 (5.52) proj_loss: -0.6072 (-0.5996) time: 0.4918 data: 0.0003
[11-26 06:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1251/1669] eta: 0:03:33 tlr: 1.4e-05 tnm: 0.65 Lm: 6.458 (6.461) Lt: 5.707 (5.689) Accm: 3.51 (3.50) Acct: 5.61 (5.61) proj_loss: -0.5937 (-0.5947) time: 0.5439 data: 0.0003
[11-26 06:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1251/1669] eta: 0:03:33 tlr: 1.4e-05 tnm: 0.65 Lm: 6.547 (6.497) Lt: 5.830 (5.763) Accm: 3.15 (3.34) Acct: 5.09 (5.26) proj_loss: -0.6029 (-0.6033) time: 0.5439 data: 0.0003
[11-26 06:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1251/1669] eta: 0:03:33 tlr: 1.4e-05 tnm: 0.65 Lm: 6.440 (6.481) Lt: 5.696 (5.749) Accm: 3.62 (3.52) Acct: 5.64 (5.41) proj_loss: -0.6010 (-0.6049) time: 0.5439 data: 0.0003
[11-26 06:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1251/1669] eta: 0:03:33 tlr: 1.4e-05 tnm: 0.65 Lm: 6.372 (6.361) Lt: 5.580 (5.562) Accm: 3.76 (3.80) Acct: 6.05 (6.03) proj_loss: -0.6139 (-0.6105) time: 0.5439 data: 0.0003
[11-26 06:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.63 Lm: 6.437 (6.385) Lt: 5.630 (5.595) Accm: 3.55 (3.72) Acct: 5.63 (5.93) proj_loss: -0.6190 (-0.6135) time: 0.4920 data: 0.0018
[11-26 06:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 334/350] Total time: 0:14:15 (0.513 s / it)
[11-26 06:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.63 Lm: 6.530 (6.496) Lt: 5.816 (5.755) Accm: 3.26 (3.41) Acct: 5.25 (5.39) proj_loss: -0.5948 (-0.6011) time: 0.4920 data: 0.0017
[11-26 06:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.63 Lm: 6.417 (6.449) Lt: 5.638 (5.699) Accm: 3.66 (3.66) Acct: 5.84 (5.75) proj_loss: -0.6023 (-0.6064) time: 0.4920 data: 0.0015
[11-26 06:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 334/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.63 Lm: 6.455 (6.458) Lt: 5.714 (5.701) Accm: 3.63 (3.56) Acct: 5.89 (5.69) proj_loss: -0.6072 (-0.5999) time: 0.4920 data: 0.0019
[11-26 06:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 334/350] Total time: 0:14:15 (0.513 s / it)
[11-26 06:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 334/350] Total time: 0:14:15 (0.513 s / it)
[11-26 06:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 334/350] Total time: 0:14:15 (0.513 s / it)
[11-26 06:21:36] (/home/user/VAR/train.py , line 276)=> [ep334] (training ) Lm: 6.497 (6.497), Lt: 5.746 (5.746), Acc m&t: 3.43 5.38, Remain: 3:27:45, Finish: 2024-11-25 17:49
[11-26 06:21:36] (/home/user/VAR/train.py , line 276)=> [ep334] (training ) Lm: 6.497 (6.497), Lt: 5.746 (5.746), Acc m&t: 3.43 5.38, Remain: 3:27:49, Finish: 2024-11-25 17:49
[11-26 06:21:36] (/home/user/VAR/train.py , line 276)=> [ep334] (training ) Lm: 6.497 (6.497), Lt: 5.746 (5.746), Acc m&t: 3.43 5.38, Remain: 3:27:45, Finish: 2024-11-25 17:49
[11-26 06:21:36] (/home/user/VAR/train.py , line 276)=> [ep334] (training ) Lm: 6.497 (6.497), Lt: 5.746 (5.746), Acc m&t: 3.43 5.38, Remain: 3:27:49, Finish: 2024-11-25 17:49
[11-26 06:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 0/1669] eta: 0:13:21 tlr: 1.3e-05 tnm: 0.63 Lm: 6.469 (6.469) Lt: 5.733 (5.733) Accm: 3.32 (3.32) Acct: 5.20 (5.20) proj_loss: -0.6165 (-0.6165) time: 0.4803 data: 0.0003
[11-26 06:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 0/1669] eta: 0:13:30 tlr: 1.3e-05 tnm: 0.63 Lm: 6.633 (6.633) Lt: 5.832 (5.832) Accm: 3.26 (3.26) Acct: 5.66 (5.66) proj_loss: -0.5877 (-0.5877) time: 0.4856 data: 0.0003
[11-26 06:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 0/1669] eta: 0:13:22 tlr: 1.3e-05 tnm: 0.63 Lm: 6.480 (6.480) Lt: 5.725 (5.725) Accm: 3.53 (3.53) Acct: 5.51 (5.51) proj_loss: -0.6059 (-0.6059) time: 0.4806 data: 0.0004
[11-26 06:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 0/1669] eta: 0:13:22 tlr: 1.3e-05 tnm: 0.63 Lm: 6.559 (6.559) Lt: 5.801 (5.801) Accm: 3.12 (3.12) Acct: 5.11 (5.11) proj_loss: -0.5873 (-0.5873) time: 0.4808 data: 0.0003
[11-26 06:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 417/1669] eta: 0:10:39 tlr: 1.3e-05 tnm: 0.64 Lm: 6.565 (6.565) Lt: 5.819 (5.819) Accm: 3.13 (3.13) Acct: 4.93 (4.93) proj_loss: -0.5931 (-0.5931) time: 0.4899 data: 0.0003
[11-26 06:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 417/1669] eta: 0:10:39 tlr: 1.3e-05 tnm: 0.64 Lm: 6.503 (6.503) Lt: 5.757 (5.757) Accm: 3.44 (3.44) Acct: 5.54 (5.54) proj_loss: -0.6014 (-0.6014) time: 0.4899 data: 0.0003
[11-26 06:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 417/1669] eta: 0:10:39 tlr: 1.3e-05 tnm: 0.64 Lm: 6.414 (6.414) Lt: 5.652 (5.652) Accm: 3.54 (3.54) Acct: 5.66 (5.66) proj_loss: -0.6160 (-0.6160) time: 0.4899 data: 0.0003
[11-26 06:25:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 417/1669] eta: 0:10:39 tlr: 1.3e-05 tnm: 0.64 Lm: 6.626 (6.626) Lt: 5.868 (5.868) Accm: 3.08 (3.08) Acct: 5.05 (5.05) proj_loss: -0.5974 (-0.5974) time: 0.4899 data: 0.0003
[11-26 06:28:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 834/1669] eta: 0:06:58 tlr: 1.3e-05 tnm: 0.64 Lm: 6.620 (6.604) Lt: 5.832 (5.831) Accm: 3.24 (3.13) Acct: 5.04 (5.05) proj_loss: -0.6000 (-0.5983) time: 0.4910 data: 0.0003
[11-26 06:28:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 834/1669] eta: 0:06:58 tlr: 1.3e-05 tnm: 0.64 Lm: 6.572 (6.584) Lt: 5.838 (5.843) Accm: 3.13 (3.16) Acct: 4.94 (4.94) proj_loss: -0.5989 (-0.6036) time: 0.4911 data: 0.0003
[11-26 06:28:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 834/1669] eta: 0:06:58 tlr: 1.3e-05 tnm: 0.64 Lm: 6.480 (6.489) Lt: 5.725 (5.734) Accm: 3.38 (3.42) Acct: 5.51 (5.42) proj_loss: -0.6019 (-0.6015) time: 0.4910 data: 0.0003
[11-26 06:28:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [ 834/1669] eta: 0:06:58 tlr: 1.3e-05 tnm: 0.64 Lm: 6.439 (6.422) Lt: 5.657 (5.654) Accm: 3.54 (3.54) Acct: 5.46 (5.59) proj_loss: -0.6156 (-0.6091) time: 0.4911 data: 0.0003
[11-26 06:32:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1251/1669] eta: 0:03:28 tlr: 1.3e-05 tnm: 0.64 Lm: 6.454 (6.445) Lt: 5.695 (5.679) Accm: 3.46 (3.50) Acct: 5.36 (5.51) proj_loss: -0.6149 (-0.6104) time: 0.4891 data: 0.0003
[11-26 06:32:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1251/1669] eta: 0:03:28 tlr: 1.3e-05 tnm: 0.64 Lm: 6.565 (6.568) Lt: 5.819 (5.823) Accm: 3.18 (3.26) Acct: 5.03 (5.17) proj_loss: -0.5950 (-0.6005) time: 0.4891 data: 0.0003
[11-26 06:32:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1251/1669] eta: 0:03:28 tlr: 1.3e-05 tnm: 0.64 Lm: 6.606 (6.601) Lt: 5.849 (5.840) Accm: 3.20 (3.14) Acct: 5.16 (5.11) proj_loss: -0.5938 (-0.5937) time: 0.4891 data: 0.0003
[11-26 06:32:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1251/1669] eta: 0:03:28 tlr: 1.3e-05 tnm: 0.64 Lm: 6.470 (6.460) Lt: 5.707 (5.691) Accm: 3.46 (3.51) Acct: 5.54 (5.58) proj_loss: -0.5994 (-0.5969) time: 0.4891 data: 0.0002
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.65 Lm: 6.480 (6.466) Lt: 5.688 (5.687) Accm: 3.46 (3.50) Acct: 5.51 (5.56) proj_loss: -0.5969 (-0.5962) time: 0.4893 data: 0.0021
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 335/350] Total time: 0:14:02 (0.505 s / it)
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.65 Lm: 6.591 (6.582) Lt: 5.832 (5.832) Accm: 3.24 (3.19) Acct: 5.18 (5.12) proj_loss: -0.5956 (-0.5941) time: 0.4893 data: 0.0016
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.65 Lm: 6.559 (6.518) Lt: 5.801 (5.773) Accm: 3.24 (3.44) Acct: 5.11 (5.41) proj_loss: -0.5989 (-0.6025) time: 0.4893 data: 0.0016
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 335/350] [1668/1669] eta: 0:00:00 tlr: 1.3e-05 tnm: 0.65 Lm: 6.469 (6.463) Lt: 5.733 (5.711) Accm: 3.38 (3.47) Acct: 5.27 (5.41) proj_loss: -0.6143 (-0.6092) time: 0.4893 data: 0.0018
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 335/350] Total time: 0:14:02 (0.505 s / it)
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 335/350] Total time: 0:14:02 (0.505 s / it)
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 335/350] Total time: 0:14:02 (0.505 s / it)
[11-26 06:35:39] (/home/user/VAR/train.py , line 276)=> [ep335] (training ) Lm: 6.497 (6.517), Lt: 5.746 (5.773), Acc m&t: 3.43 5.38, Remain: 3:12:16, Finish: 2024-11-25 17:47
[11-26 06:35:39] (/home/user/VAR/train.py , line 276)=> [ep335] (training ) Lm: 6.497 (6.517), Lt: 5.746 (5.773), Acc m&t: 3.43 5.38, Remain: 3:12:20, Finish: 2024-11-25 17:47
[11-26 06:35:39] (/home/user/VAR/train.py , line 276)=> [ep335] (training ) Lm: 6.497 (6.517), Lt: 5.746 (5.773), Acc m&t: 3.43 5.38, Remain: 3:12:19, Finish: 2024-11-25 17:47
[11-26 06:35:39] (/home/user/VAR/train.py , line 276)=> [ep335] (training ) Lm: 6.497 (6.517), Lt: 5.746 (5.773), Acc m&t: 3.43 5.38, Remain: 3:12:17, Finish: 2024-11-25 17:47
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 0/1669] eta: 0:13:02 tlr: 1.3e-05 tnm: 0.65 Lm: 6.558 (6.558) Lt: 5.787 (5.787) Accm: 3.44 (3.44) Acct: 5.27 (5.27) proj_loss: -0.6062 (-0.6062) time: 0.4688 data: 0.0004
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 0/1669] eta: 0:13:02 tlr: 1.3e-05 tnm: 0.65 Lm: 6.449 (6.449) Lt: 5.741 (5.741) Accm: 3.62 (3.62) Acct: 5.66 (5.66) proj_loss: -0.6135 (-0.6135) time: 0.4688 data: 0.0003
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 0/1669] eta: 0:13:01 tlr: 1.3e-05 tnm: 0.65 Lm: 6.582 (6.582) Lt: 5.877 (5.877) Accm: 3.14 (3.14) Acct: 5.06 (5.06) proj_loss: -0.5917 (-0.5917) time: 0.4685 data: 0.0004
[11-26 06:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 0/1669] eta: 0:13:01 tlr: 1.3e-05 tnm: 0.65 Lm: 6.511 (6.511) Lt: 5.802 (5.802) Accm: 3.66 (3.66) Acct: 5.65 (5.65) proj_loss: -0.6099 (-0.6099) time: 0.4682 data: 0.0003
[11-26 06:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 417/1669] eta: 0:10:26 tlr: 1.2e-05 tnm: 0.64 Lm: 6.515 (6.515) Lt: 5.816 (5.816) Accm: 3.42 (3.42) Acct: 5.10 (5.10) proj_loss: -0.6091 (-0.6091) time: 0.4904 data: 0.0003
[11-26 06:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 417/1669] eta: 0:10:26 tlr: 1.2e-05 tnm: 0.64 Lm: 6.508 (6.508) Lt: 5.764 (5.764) Accm: 3.43 (3.43) Acct: 5.12 (5.12) proj_loss: -0.6134 (-0.6134) time: 0.4904 data: 0.0003
[11-26 06:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 417/1669] eta: 0:10:26 tlr: 1.2e-05 tnm: 0.64 Lm: 6.577 (6.577) Lt: 5.849 (5.849) Accm: 3.17 (3.17) Acct: 5.12 (5.12) proj_loss: -0.5944 (-0.5944) time: 0.4904 data: 0.0003
[11-26 06:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 417/1669] eta: 0:10:26 tlr: 1.2e-05 tnm: 0.64 Lm: 6.379 (6.379) Lt: 5.609 (5.609) Accm: 3.90 (3.90) Acct: 6.09 (6.09) proj_loss: -0.6146 (-0.6146) time: 0.4904 data: 0.0003
[11-26 06:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 834/1669] eta: 0:07:10 tlr: 1.2e-05 tnm: 0.65 Lm: 6.440 (6.400) Lt: 5.643 (5.620) Accm: 3.62 (3.73) Acct: 5.66 (5.95) proj_loss: -0.6135 (-0.6082) time: 0.4856 data: 0.0003
[11-26 06:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 834/1669] eta: 0:07:10 tlr: 1.2e-05 tnm: 0.65 Lm: 6.572 (6.571) Lt: 5.821 (5.830) Accm: 3.19 (3.18) Acct: 5.06 (5.09) proj_loss: -0.5971 (-0.6046) time: 0.4856 data: 0.0003
[11-26 06:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 834/1669] eta: 0:07:10 tlr: 1.2e-05 tnm: 0.65 Lm: 6.511 (6.487) Lt: 5.802 (5.774) Accm: 3.61 (3.48) Acct: 5.29 (5.16) proj_loss: -0.6089 (-0.6090) time: 0.4856 data: 0.0003
[11-26 06:42:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [ 834/1669] eta: 0:07:10 tlr: 1.2e-05 tnm: 0.65 Lm: 6.458 (6.473) Lt: 5.742 (5.701) Accm: 3.44 (3.50) Acct: 5.27 (5.37) proj_loss: -0.6204 (-0.6157) time: 0.4856 data: 0.0003
[11-26 06:46:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1251/1669] eta: 0:03:34 tlr: 1.2e-05 tnm: 0.64 Lm: 6.508 (6.507) Lt: 5.764 (5.723) Accm: 3.43 (3.40) Acct: 5.12 (5.26) proj_loss: -0.6133 (-0.6133) time: 0.4927 data: 0.0003
[11-26 06:46:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1251/1669] eta: 0:03:34 tlr: 1.2e-05 tnm: 0.64 Lm: 6.565 (6.565) Lt: 5.834 (5.834) Accm: 3.20 (3.24) Acct: 5.04 (5.04) proj_loss: -0.6096 (-0.6090) time: 0.4927 data: 0.0003
[11-26 06:46:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1251/1669] eta: 0:03:34 tlr: 1.2e-05 tnm: 0.64 Lm: 6.515 (6.514) Lt: 5.816 (5.792) Accm: 3.39 (3.35) Acct: 5.04 (5.07) proj_loss: -0.6086 (-0.6060) time: 0.4927 data: 0.0003
[11-26 06:46:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1251/1669] eta: 0:03:34 tlr: 1.2e-05 tnm: 0.64 Lm: 6.376 (6.378) Lt: 5.601 (5.605) Accm: 3.90 (3.85) Acct: 6.09 (6.12) proj_loss: -0.6146 (-0.6147) time: 0.4927 data: 0.0003
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1668/1669] eta: 0:00:00 tlr: 1.2e-05 tnm: 0.65 Lm: 6.313 (6.360) Lt: 5.560 (5.587) Accm: 4.09 (3.90) Acct: 6.51 (6.20) proj_loss: -0.6158 (-0.6177) time: 0.4927 data: 0.0018
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 336/350] Total time: 0:14:10 (0.510 s / it)
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1668/1669] eta: 0:00:00 tlr: 1.2e-05 tnm: 0.65 Lm: 6.519 (6.522) Lt: 5.830 (5.800) Accm: 3.37 (3.35) Acct: 5.29 (5.12) proj_loss: -0.6089 (-0.6078) time: 0.4927 data: 0.0017
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1668/1669] eta: 0:00:00 tlr: 1.2e-05 tnm: 0.65 Lm: 6.458 (6.492) Lt: 5.742 (5.717) Accm: 3.44 (3.47) Acct: 5.27 (5.35) proj_loss: -0.6062 (-0.6099) time: 0.4927 data: 0.0015
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 336/350] [1668/1669] eta: 0:00:00 tlr: 1.2e-05 tnm: 0.65 Lm: 6.572 (6.572) Lt: 5.848 (5.857) Accm: 3.19 (3.20) Acct: 5.03 (4.95) proj_loss: -0.6142 (-0.6100) time: 0.4927 data: 0.0013
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 336/350] Total time: 0:14:10 (0.510 s / it)
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 336/350] Total time: 0:14:10 (0.510 s / it)
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 336/350] Total time: 0:14:10 (0.510 s / it)
[11-26 06:49:50] (/home/user/VAR/train.py , line 276)=> [ep336] (training ) Lm: 6.497 (6.504), Lt: 5.746 (5.758), Acc m&t: 3.43 5.38, Remain: 3:00:02, Finish: 2024-11-25 17:49
[11-26 06:49:50] (/home/user/VAR/train.py , line 276)=> [ep336] (training ) Lm: 6.497 (6.504), Lt: 5.746 (5.758), Acc m&t: 3.43 5.38, Remain: 2:59:55, Finish: 2024-11-25 17:49
[11-26 06:49:50] (/home/user/VAR/train.py , line 276)=> [ep336] (training ) Lm: 6.497 (6.504), Lt: 5.746 (5.758), Acc m&t: 3.43 5.38, Remain: 2:59:57, Finish: 2024-11-25 17:49
[11-26 06:49:50] (/home/user/VAR/train.py , line 276)=> [ep336] (training ) Lm: 6.497 (6.504), Lt: 5.746 (5.758), Acc m&t: 3.43 5.38, Remain: 3:00:02, Finish: 2024-11-25 17:49
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 0/1669] eta: 0:13:25 tlr: 1.2e-05 tnm: 0.65 Lm: 6.465 (6.465) Lt: 5.705 (5.705) Accm: 3.39 (3.39) Acct: 4.94 (4.94) proj_loss: -0.5947 (-0.5947) time: 0.4825 data: 0.0003
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 0/1669] eta: 0:13:25 tlr: 1.2e-05 tnm: 0.65 Lm: 6.379 (6.379) Lt: 5.659 (5.659) Accm: 3.93 (3.93) Acct: 5.65 (5.65) proj_loss: -0.6200 (-0.6200) time: 0.4829 data: 0.0003
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 0/1669] eta: 0:13:25 tlr: 1.2e-05 tnm: 0.65 Lm: 6.569 (6.569) Lt: 5.818 (5.818) Accm: 3.07 (3.07) Acct: 4.65 (4.65) proj_loss: -0.5865 (-0.5865) time: 0.4828 data: 0.0004
[11-26 06:49:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 0/1669] eta: 0:13:25 tlr: 1.2e-05 tnm: 0.65 Lm: 6.567 (6.567) Lt: 5.773 (5.773) Accm: 3.12 (3.12) Acct: 5.11 (5.11) proj_loss: -0.6016 (-0.6016) time: 0.4828 data: 0.0004
[11-26 06:53:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 417/1669] eta: 0:10:26 tlr: 1.2e-05 tnm: 0.64 Lm: 6.629 (6.629) Lt: 5.888 (5.888) Accm: 3.02 (3.02) Acct: 4.91 (4.91) proj_loss: -0.6013 (-0.6013) time: 0.4908 data: 0.0003
[11-26 06:53:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 417/1669] eta: 0:10:26 tlr: 1.2e-05 tnm: 0.64 Lm: 6.435 (6.435) Lt: 5.701 (5.701) Accm: 3.70 (3.70) Acct: 5.55 (5.55) proj_loss: -0.6171 (-0.6171) time: 0.4908 data: 0.0003
[11-26 06:53:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 417/1669] eta: 0:10:26 tlr: 1.2e-05 tnm: 0.64 Lm: 6.459 (6.459) Lt: 5.708 (5.708) Accm: 3.45 (3.45) Acct: 5.34 (5.34) proj_loss: -0.6056 (-0.6056) time: 0.4908 data: 0.0003
[11-26 06:53:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 417/1669] eta: 0:10:26 tlr: 1.2e-05 tnm: 0.64 Lm: 6.575 (6.575) Lt: 5.832 (5.832) Accm: 3.13 (3.13) Acct: 4.81 (4.81) proj_loss: -0.5989 (-0.5989) time: 0.4908 data: 0.0003
[11-26 06:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 834/1669] eta: 0:07:02 tlr: 1.2e-05 tnm: 0.64 Lm: 6.569 (6.558) Lt: 5.818 (5.815) Accm: 3.19 (3.26) Acct: 4.98 (4.98) proj_loss: -0.5865 (-0.5921) time: 0.4882 data: 0.0003
[11-26 06:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 834/1669] eta: 0:07:03 tlr: 1.2e-05 tnm: 0.64 Lm: 6.567 (6.606) Lt: 5.846 (5.874) Accm: 3.12 (3.09) Acct: 5.11 (5.03) proj_loss: -0.6016 (-0.6082) time: 0.4882 data: 0.0003
[11-26 06:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 834/1669] eta: 0:07:03 tlr: 1.2e-05 tnm: 0.64 Lm: 6.465 (6.484) Lt: 5.711 (5.746) Accm: 3.39 (3.37) Acct: 4.94 (5.21) proj_loss: -0.6166 (-0.6105) time: 0.4882 data: 0.0003
[11-26 06:56:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [ 834/1669] eta: 0:07:03 tlr: 1.2e-05 tnm: 0.64 Lm: 6.430 (6.433) Lt: 5.677 (5.693) Accm: 3.79 (3.73) Acct: 5.65 (5.61) proj_loss: -0.6200 (-0.6225) time: 0.4882 data: 0.0003
[11-26 07:00:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1251/1669] eta: 0:03:34 tlr: 1.1e-05 tnm: 0.64 Lm: 6.435 (6.435) Lt: 5.668 (5.680) Accm: 3.64 (3.67) Acct: 5.68 (5.73) proj_loss: -0.6204 (-0.6221) time: 0.5476 data: 0.0003
[11-26 07:00:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1251/1669] eta: 0:03:34 tlr: 1.1e-05 tnm: 0.64 Lm: 6.564 (6.558) Lt: 5.832 (5.838) Accm: 3.28 (3.29) Acct: 5.08 (5.03) proj_loss: -0.5989 (-0.5987) time: 0.5476 data: 0.0003
[11-26 07:00:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1251/1669] eta: 0:03:34 tlr: 1.1e-05 tnm: 0.64 Lm: 6.500 (6.500) Lt: 5.759 (5.761) Accm: 3.32 (3.34) Acct: 5.09 (5.21) proj_loss: -0.6183 (-0.6129) time: 0.5476 data: 0.0003
[11-26 07:00:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1251/1669] eta: 0:03:34 tlr: 1.1e-05 tnm: 0.64 Lm: 6.563 (6.549) Lt: 5.809 (5.826) Accm: 3.18 (3.29) Acct: 5.19 (5.25) proj_loss: -0.6066 (-0.6091) time: 0.5476 data: 0.0003
[11-26 07:04:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1668/1669] eta: 0:00:00 tlr: 1.1e-05 tnm: 0.66 Lm: 6.567 (6.556) Lt: 5.792 (5.819) Accm: 3.23 (3.29) Acct: 5.25 (5.25) proj_loss: -0.6016 (-0.6072) time: 0.4884 data: 0.0016
[11-26 07:04:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 337/350] Total time: 0:14:15 (0.513 s / it)
[11-26 07:04:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1668/1669] eta: 0:00:00 tlr: 1.1e-05 tnm: 0.66 Lm: 6.440 (6.437) Lt: 5.677 (5.681) Accm: 3.59 (3.65) Acct: 5.72 (5.73) proj_loss: -0.6200 (-0.6179) time: 0.4884 data: 0.0017
[11-26 07:04:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1668/1669] eta: 0:00:00 tlr: 1.1e-05 tnm: 0.66 Lm: 6.535 (6.544) Lt: 5.808 (5.816) Accm: 3.24 (3.23) Acct: 4.94 (5.02) proj_loss: -0.6166 (-0.6097) time: 0.4884 data: 0.0017
[11-26 07:04:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 337/350] [1668/1669] eta: 0:00:00 tlr: 1.1e-05 tnm: 0.66 Lm: 6.560 (6.526) Lt: 5.818 (5.797) Accm: 3.37 (3.40) Acct: 5.18 (5.26) proj_loss: -0.6112 (-0.6075) time: 0.4884 data: 0.0017
[11-26 07:04:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 337/350] Total time: 0:14:15 (0.513 s / it)
[11-26 07:04:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 337/350] Total time: 0:14:15 (0.513 s / it)
[11-26 07:04:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 337/350] Total time: 0:14:15 (0.513 s / it)
[11-26 07:04:05] (/home/user/VAR/train.py , line 276)=> [ep337] (training ) Lm: 6.497 (6.507), Lt: 5.746 (5.764), Acc m&t: 3.43 5.38, Remain: 2:44:46, Finish: 2024-11-25 17:48
[11-26 07:04:05] (/home/user/VAR/train.py , line 276)=> [ep337] (training ) Lm: 6.497 (6.507), Lt: 5.746 (5.764), Acc m&t: 3.43 5.38, Remain: 2:44:45, Finish: 2024-11-25 17:48
[11-26 07:04:05] (/home/user/VAR/train.py , line 276)=> [ep337] (training ) Lm: 6.497 (6.507), Lt: 5.746 (5.764), Acc m&t: 3.43 5.38, Remain: 2:44:41, Finish: 2024-11-25 17:48
[11-26 07:04:05] (/home/user/VAR/train.py , line 276)=> [ep337] (training ) Lm: 6.497 (6.507), Lt: 5.746 (5.764), Acc m&t: 3.43 5.38, Remain: 2:44:46, Finish: 2024-11-25 17:48
[11-26 07:04:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 0/1669] eta: 0:13:12 tlr: 1.1e-05 tnm: 0.65 Lm: 6.620 (6.620) Lt: 5.930 (5.930) Accm: 2.94 (2.94) Acct: 4.82 (4.82) proj_loss: -0.6165 (-0.6165) time: 0.4748 data: 0.0004
[11-26 07:04:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 0/1669] eta: 0:13:12 tlr: 1.1e-05 tnm: 0.65 Lm: 6.408 (6.408) Lt: 5.692 (5.692) Accm: 3.67 (3.67) Acct: 5.58 (5.58) proj_loss: -0.6220 (-0.6220) time: 0.4747 data: 0.0004
[11-26 07:04:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 0/1669] eta: 0:13:12 tlr: 1.1e-05 tnm: 0.65 Lm: 6.487 (6.487) Lt: 5.760 (5.760) Accm: 3.47 (3.47) Acct: 5.34 (5.34) proj_loss: -0.6023 (-0.6023) time: 0.4749 data: 0.0003
[11-26 07:04:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 0/1669] eta: 0:13:12 tlr: 1.1e-05 tnm: 0.65 Lm: 6.568 (6.568) Lt: 5.799 (5.799) Accm: 2.78 (2.78) Acct: 4.61 (4.61) proj_loss: -0.6071 (-0.6071) time: 0.4747 data: 0.0004
[11-26 07:07:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 417/1669] eta: 0:10:36 tlr: 1.1e-05 tnm: 0.63 Lm: 6.539 (6.539) Lt: 5.768 (5.768) Accm: 3.08 (3.08) Acct: 4.97 (4.97) proj_loss: -0.6086 (-0.6086) time: 0.4907 data: 0.0003
[11-26 07:07:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 417/1669] eta: 0:10:36 tlr: 1.1e-05 tnm: 0.63 Lm: 6.392 (6.392) Lt: 5.668 (5.668) Accm: 3.74 (3.74) Acct: 5.80 (5.80) proj_loss: -0.6148 (-0.6148) time: 0.4907 data: 0.0003
[11-26 07:07:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 417/1669] eta: 0:10:36 tlr: 1.1e-05 tnm: 0.63 Lm: 6.534 (6.534) Lt: 5.781 (5.781) Accm: 3.35 (3.35) Acct: 5.21 (5.21) proj_loss: -0.5972 (-0.5972) time: 0.4907 data: 0.0003
[11-26 07:07:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 417/1669] eta: 0:10:36 tlr: 1.1e-05 tnm: 0.63 Lm: 6.531 (6.531) Lt: 5.814 (5.814) Accm: 3.21 (3.21) Acct: 5.14 (5.14) proj_loss: -0.6184 (-0.6184) time: 0.4907 data: 0.0003
[11-26 07:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 834/1669] eta: 0:06:56 tlr: 1.1e-05 tnm: 0.65 Lm: 6.620 (6.590) Lt: 5.930 (5.867) Accm: 2.94 (3.03) Acct: 4.82 (4.90) proj_loss: -0.6165 (-0.6148) time: 0.4922 data: 0.0003
[11-26 07:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 834/1669] eta: 0:06:56 tlr: 1.1e-05 tnm: 0.65 Lm: 6.509 (6.511) Lt: 5.737 (5.726) Accm: 3.39 (3.24) Acct: 5.32 (5.23) proj_loss: -0.6071 (-0.5981) time: 0.4922 data: 0.0003
[11-26 07:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 834/1669] eta: 0:06:56 tlr: 1.1e-05 tnm: 0.65 Lm: 6.378 (6.387) Lt: 5.645 (5.638) Accm: 3.67 (3.70) Acct: 5.84 (5.81) proj_loss: -0.6075 (-0.6102) time: 0.4922 data: 0.0003
[11-26 07:11:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [ 834/1669] eta: 0:06:56 tlr: 1.1e-05 tnm: 0.65 Lm: 6.487 (6.486) Lt: 5.760 (5.718) Accm: 3.47 (3.45) Acct: 5.34 (5.41) proj_loss: -0.5947 (-0.5964) time: 0.4922 data: 0.0003
[11-26 07:14:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1251/1669] eta: 0:03:30 tlr: 1.1e-05 tnm: 0.64 Lm: 6.453 (6.470) Lt: 5.697 (5.697) Accm: 3.56 (3.52) Acct: 5.57 (5.57) proj_loss: -0.5935 (-0.5942) time: 0.5391 data: 0.0003
[11-26 07:14:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1251/1669] eta: 0:03:30 tlr: 1.1e-05 tnm: 0.64 Lm: 6.393 (6.416) Lt: 5.668 (5.654) Accm: 3.65 (3.68) Acct: 5.82 (5.81) proj_loss: -0.6043 (-0.6075) time: 0.5391 data: 0.0003
[11-26 07:14:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1251/1669] eta: 0:03:30 tlr: 1.1e-05 tnm: 0.64 Lm: 6.553 (6.564) Lt: 5.872 (5.853) Accm: 3.21 (3.15) Acct: 5.13 (5.04) proj_loss: -0.6120 (-0.6127) time: 0.5391 data: 0.0003
[11-26 07:14:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1251/1669] eta: 0:03:30 tlr: 1.1e-05 tnm: 0.64 Lm: 6.510 (6.511) Lt: 5.752 (5.736) Accm: 3.47 (3.32) Acct: 5.48 (5.33) proj_loss: -0.6086 (-0.6045) time: 0.5391 data: 0.0003
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1668/1669] eta: 0:00:00 tlr: 1e-05 tnm: 0.63 Lm: 6.509 (6.481) Lt: 5.737 (5.704) Accm: 3.54 (3.43) Acct: 5.63 (5.44) proj_loss: -0.6102 (-0.6074) time: 0.4937 data: 0.0021
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 338/350] Total time: 0:14:04 (0.506 s / it)
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1668/1669] eta: 0:00:00 tlr: 1e-05 tnm: 0.63 Lm: 6.419 (6.454) Lt: 5.634 (5.675) Accm: 3.65 (3.61) Acct: 5.80 (5.71) proj_loss: -0.5947 (-0.5966) time: 0.4937 data: 0.0019
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1668/1669] eta: 0:00:00 tlr: 1e-05 tnm: 0.63 Lm: 6.408 (6.438) Lt: 5.692 (5.684) Accm: 3.63 (3.64) Acct: 5.80 (5.72) proj_loss: -0.6053 (-0.6070) time: 0.4937 data: 0.0017
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 338/350] [1668/1669] eta: 0:00:00 tlr: 1e-05 tnm: 0.63 Lm: 6.597 (6.571) Lt: 5.856 (5.854) Accm: 3.18 (3.15) Acct: 4.89 (5.01) proj_loss: -0.6089 (-0.6120) time: 0.4937 data: 0.0016
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 338/350] Total time: 0:14:04 (0.506 s / it)
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 338/350] Total time: 0:14:04 (0.506 s / it)
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 338/350] Total time: 0:14:04 (0.506 s / it)
[11-26 07:18:10] (/home/user/VAR/train.py , line 276)=> [ep338] (training ) Lm: 6.497 (6.509), Lt: 5.746 (5.763), Acc m&t: 3.44 5.39, Remain: 2:32:38, Finish: 2024-11-25 17:50
[11-26 07:18:10] (/home/user/VAR/train.py , line 276)=> [ep338] (training ) Lm: 6.497 (6.509), Lt: 5.746 (5.763), Acc m&t: 3.44 5.39, Remain: 2:32:36, Finish: 2024-11-25 17:50
[11-26 07:18:10] (/home/user/VAR/train.py , line 276)=> [ep338] (training ) Lm: 6.497 (6.509), Lt: 5.746 (5.763), Acc m&t: 3.44 5.39, Remain: 2:32:35, Finish: 2024-11-25 17:50
[11-26 07:18:10] (/home/user/VAR/train.py , line 276)=> [ep338] (training ) Lm: 6.497 (6.509), Lt: 5.746 (5.763), Acc m&t: 3.44 5.39, Remain: 2:32:38, Finish: 2024-11-25 17:50
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 0/1669] eta: 0:13:00 tlr: 1e-05 tnm: 0.63 Lm: 6.531 (6.531) Lt: 5.871 (5.871) Accm: 3.42 (3.42) Acct: 4.98 (4.98) proj_loss: -0.6121 (-0.6121) time: 0.4677 data: 0.0003
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 0/1669] eta: 0:13:00 tlr: 1e-05 tnm: 0.63 Lm: 6.653 (6.653) Lt: 5.932 (5.932) Accm: 3.13 (3.13) Acct: 4.94 (4.94) proj_loss: -0.5956 (-0.5956) time: 0.4676 data: 0.0003
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 0/1669] eta: 0:12:59 tlr: 1e-05 tnm: 0.63 Lm: 6.568 (6.568) Lt: 5.834 (5.834) Accm: 3.08 (3.08) Acct: 4.89 (4.89) proj_loss: -0.6182 (-0.6182) time: 0.4673 data: 0.0004
[11-26 07:18:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 0/1669] eta: 0:13:01 tlr: 1e-05 tnm: 0.63 Lm: 6.698 (6.698) Lt: 6.008 (6.008) Accm: 2.59 (2.59) Acct: 3.94 (3.94) proj_loss: -0.6217 (-0.6217) time: 0.4679 data: 0.0004
[11-26 07:21:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 417/1669] eta: 0:10:27 tlr: 1e-05 tnm: 0.66 Lm: 6.548 (6.548) Lt: 5.788 (5.788) Accm: 3.22 (3.22) Acct: 5.04 (5.04) proj_loss: -0.6134 (-0.6134) time: 0.4894 data: 0.0003
[11-26 07:21:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 417/1669] eta: 0:10:27 tlr: 1e-05 tnm: 0.66 Lm: 6.520 (6.520) Lt: 5.819 (5.819) Accm: 3.39 (3.39) Acct: 5.11 (5.11) proj_loss: -0.5993 (-0.5993) time: 0.4894 data: 0.0003
[11-26 07:21:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 417/1669] eta: 0:10:27 tlr: 1e-05 tnm: 0.66 Lm: 6.554 (6.554) Lt: 5.815 (5.815) Accm: 3.51 (3.51) Acct: 5.60 (5.60) proj_loss: -0.6032 (-0.6032) time: 0.4894 data: 0.0003
[11-26 07:21:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 417/1669] eta: 0:10:27 tlr: 1e-05 tnm: 0.66 Lm: 6.578 (6.578) Lt: 5.839 (5.839) Accm: 3.23 (3.23) Acct: 5.15 (5.15) proj_loss: -0.6176 (-0.6176) time: 0.4894 data: 0.0003
[11-26 07:25:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 834/1669] eta: 0:07:11 tlr: 1e-05 tnm: 0.64 Lm: 6.568 (6.558) Lt: 5.834 (5.816) Accm: 3.29 (3.25) Acct: 4.89 (5.05) proj_loss: -0.6170 (-0.6116) time: 0.4921 data: 0.0003
[11-26 07:25:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 834/1669] eta: 0:07:11 tlr: 1e-05 tnm: 0.64 Lm: 6.539 (6.549) Lt: 5.825 (5.818) Accm: 3.34 (3.46) Acct: 5.10 (5.43) proj_loss: -0.6108 (-0.6059) time: 0.4921 data: 0.0003
[11-26 07:25:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 834/1669] eta: 0:07:11 tlr: 1e-05 tnm: 0.64 Lm: 6.412 (6.503) Lt: 5.692 (5.756) Accm: 3.86 (3.46) Acct: 6.13 (5.43) proj_loss: -0.6176 (-0.6148) time: 0.4921 data: 0.0003
[11-26 07:25:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [ 834/1669] eta: 0:07:11 tlr: 1e-05 tnm: 0.64 Lm: 6.531 (6.583) Lt: 5.871 (5.894) Accm: 3.37 (3.13) Acct: 4.98 (4.69) proj_loss: -0.6121 (-0.6062) time: 0.4921 data: 0.0002
[11-26 07:28:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1251/1669] eta: 0:03:33 tlr: 9.9e-06 tnm: 0.64 Lm: 6.520 (6.556) Lt: 5.819 (5.850) Accm: 3.39 (3.27) Acct: 5.11 (5.00) proj_loss: -0.6068 (-0.6051) time: 0.4915 data: 0.0003
[11-26 07:28:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1251/1669] eta: 0:03:33 tlr: 9.9e-06 tnm: 0.64 Lm: 6.535 (6.542) Lt: 5.811 (5.800) Accm: 3.46 (3.36) Acct: 5.49 (5.29) proj_loss: -0.6114 (-0.6120) time: 0.4915 data: 0.0003
[11-26 07:28:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1251/1669] eta: 0:03:33 tlr: 9.9e-06 tnm: 0.64 Lm: 6.545 (6.549) Lt: 5.823 (5.819) Accm: 3.30 (3.41) Acct: 5.09 (5.34) proj_loss: -0.6110 (-0.6078) time: 0.4915 data: 0.0003
[11-26 07:28:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1251/1669] eta: 0:03:33 tlr: 9.9e-06 tnm: 0.64 Lm: 6.554 (6.553) Lt: 5.818 (5.812) Accm: 3.30 (3.27) Acct: 5.11 (5.12) proj_loss: -0.6130 (-0.6109) time: 0.4915 data: 0.0003
[11-26 07:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-06 tnm: 0.64 Lm: 6.568 (6.566) Lt: 5.834 (5.837) Accm: 3.30 (3.27) Acct: 4.98 (5.09) proj_loss: -0.6090 (-0.6083) time: 0.5466 data: 0.0013
[11-26 07:32:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 339/350] Total time: 0:14:09 (0.509 s / it)
[11-26 07:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-06 tnm: 0.64 Lm: 6.510 (6.540) Lt: 5.768 (5.827) Accm: 3.42 (3.32) Acct: 5.25 (5.09) proj_loss: -0.6015 (-0.6028) time: 0.5466 data: 0.0018
[11-26 07:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-06 tnm: 0.64 Lm: 6.452 (6.524) Lt: 5.692 (5.771) Accm: 3.42 (3.37) Acct: 5.63 (5.35) proj_loss: -0.6052 (-0.6080) time: 0.5466 data: 0.0019
[11-26 07:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 339/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-06 tnm: 0.64 Lm: 6.551 (6.580) Lt: 5.825 (5.857) Accm: 3.26 (3.28) Acct: 5.08 (5.17) proj_loss: -0.6112 (-0.6115) time: 0.5466 data: 0.0019
[11-26 07:32:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 339/350] Total time: 0:14:10 (0.509 s / it)
[11-26 07:32:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 339/350] Total time: 0:14:10 (0.509 s / it)
[11-26 07:32:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 339/350] Total time: 0:14:10 (0.509 s / it)
[11-26 07:34:41] (home/user/VAR/trainer.py, line 114)=> FID: 3.107932504674295
[11-26 07:34:41] (/home/user/VAR/train.py , line 259)=> [*] [ep339] (val 50000) Lm: 6.5157, Lt: 5.7683, Acc m&t: 3.41 5.33, Val cost: 141.40s
[11-26 07:34:41] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-26 07:34:54] (/home/user/VAR/train.py , line 276)=> [ep339] (training ) Lm: 6.497 (6.516), Lt: 5.746 (5.768), Acc m&t: 3.44 5.39, Remain: 2:18:32, Finish: 2024-11-25 17:50
[11-26 07:34:54] (/home/user/VAR/train.py , line 276)=> [ep339] (training ) Lm: 6.497 (6.516), Lt: 5.746 (5.768), Acc m&t: 3.44 5.39, Remain: 2:18:32, Finish: 2024-11-25 17:50
[11-26 07:34:54] (/home/user/VAR/train.py , line 276)=> [ep339] (training ) Lm: 6.497 (6.516), Lt: 5.746 (5.768), Acc m&t: 3.44 5.39, Remain: 2:18:26, Finish: 2024-11-25 17:50
[11-26 07:34:54] (/home/user/VAR/train.py , line 276)=> [ep339] (training ) Lm: 6.497 (6.516), Lt: 5.746 (5.768), Acc m&t: 3.44 5.39, Remain: 2:18:33, Finish: 2024-11-25 17:50
[11-26 07:34:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 0/1669] eta: 0:13:26 tlr: 9.7e-06 tnm: 0.65 Lm: 6.453 (6.453) Lt: 5.758 (5.758) Accm: 3.50 (3.50) Acct: 5.35 (5.35) proj_loss: -0.6268 (-0.6268) time: 0.4835 data: 0.0003
[11-26 07:34:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 0/1669] eta: 0:13:26 tlr: 9.7e-06 tnm: 0.65 Lm: 6.451 (6.451) Lt: 5.698 (5.698) Accm: 3.63 (3.63) Acct: 5.82 (5.82) proj_loss: -0.6099 (-0.6099) time: 0.4834 data: 0.0004
[11-26 07:34:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 0/1669] eta: 0:13:26 tlr: 9.7e-06 tnm: 0.65 Lm: 6.543 (6.543) Lt: 5.836 (5.836) Accm: 3.12 (3.12) Acct: 5.06 (5.06) proj_loss: -0.5855 (-0.5855) time: 0.4829 data: 0.0004
[11-26 07:34:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 0/1669] eta: 0:13:25 tlr: 9.7e-06 tnm: 0.65 Lm: 6.531 (6.531) Lt: 5.868 (5.868) Accm: 3.30 (3.30) Acct: 5.04 (5.04) proj_loss: -0.6349 (-0.6349) time: 0.4827 data: 0.0004
[11-26 07:38:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 417/1669] eta: 0:10:31 tlr: 9.5e-06 tnm: 0.65 Lm: 6.547 (6.547) Lt: 5.837 (5.837) Accm: 3.33 (3.33) Acct: 5.16 (5.16) proj_loss: -0.6181 (-0.6181) time: 0.4894 data: 0.0003
[11-26 07:38:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 417/1669] eta: 0:10:31 tlr: 9.5e-06 tnm: 0.65 Lm: 6.397 (6.397) Lt: 5.667 (5.667) Accm: 3.81 (3.81) Acct: 5.94 (5.94) proj_loss: -0.6224 (-0.6224) time: 0.4894 data: 0.0005
[11-26 07:38:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 417/1669] eta: 0:10:31 tlr: 9.5e-06 tnm: 0.65 Lm: 6.497 (6.497) Lt: 5.820 (5.820) Accm: 3.39 (3.39) Acct: 5.28 (5.28) proj_loss: -0.6047 (-0.6047) time: 0.4894 data: 0.0003
[11-26 07:38:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 417/1669] eta: 0:10:31 tlr: 9.5e-06 tnm: 0.65 Lm: 6.397 (6.397) Lt: 5.629 (5.629) Accm: 3.65 (3.65) Acct: 5.73 (5.73) proj_loss: -0.6079 (-0.6079) time: 0.4894 data: 0.0002
[11-26 07:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 834/1669] eta: 0:07:04 tlr: 9.3e-06 tnm: 0.65 Lm: 6.453 (6.484) Lt: 5.758 (5.725) Accm: 3.50 (3.40) Acct: 5.35 (5.30) proj_loss: -0.6016 (-0.6058) time: 0.4923 data: 0.0003
[11-26 07:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 834/1669] eta: 0:07:04 tlr: 9.3e-06 tnm: 0.65 Lm: 6.531 (6.486) Lt: 5.806 (5.772) Accm: 3.35 (3.50) Acct: 5.27 (5.35) proj_loss: -0.6257 (-0.6206) time: 0.4923 data: 0.0003
[11-26 07:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 834/1669] eta: 0:07:04 tlr: 9.3e-06 tnm: 0.65 Lm: 6.486 (6.493) Lt: 5.804 (5.783) Accm: 3.50 (3.43) Acct: 5.46 (5.34) proj_loss: -0.5960 (-0.6018) time: 0.4923 data: 0.0003
[11-26 07:41:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [ 834/1669] eta: 0:07:04 tlr: 9.3e-06 tnm: 0.65 Lm: 6.451 (6.423) Lt: 5.686 (5.674) Accm: 3.63 (3.69) Acct: 5.82 (5.79) proj_loss: -0.6099 (-0.6182) time: 0.4923 data: 0.0003
[11-26 07:45:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1251/1669] eta: 0:03:34 tlr: 9.1e-06 tnm: 0.65 Lm: 6.463 (6.489) Lt: 5.692 (5.759) Accm: 3.54 (3.48) Acct: 5.66 (5.38) proj_loss: -0.6098 (-0.6136) time: 0.4922 data: 0.0003
[11-26 07:45:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1251/1669] eta: 0:03:34 tlr: 9.1e-06 tnm: 0.65 Lm: 6.547 (6.517) Lt: 5.817 (5.786) Accm: 3.33 (3.43) Acct: 5.26 (5.32) proj_loss: -0.6219 (-0.6200) time: 0.4922 data: 0.0003
[11-26 07:45:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1251/1669] eta: 0:03:34 tlr: 9.1e-06 tnm: 0.65 Lm: 6.515 (6.519) Lt: 5.820 (5.797) Accm: 3.31 (3.29) Acct: 5.26 (5.07) proj_loss: -0.6018 (-0.6032) time: 0.4922 data: 0.0003
[11-26 07:45:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1251/1669] eta: 0:03:34 tlr: 9.1e-06 tnm: 0.65 Lm: 6.538 (6.519) Lt: 5.826 (5.768) Accm: 3.34 (3.35) Acct: 5.24 (5.26) proj_loss: -0.6097 (-0.6088) time: 0.4922 data: 0.0003
[11-26 07:49:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1668/1669] eta: 0:00:00 tlr: 9e-06 tnm: 0.64 Lm: 6.475 (6.510) Lt: 5.758 (5.753) Accm: 3.50 (3.40) Acct: 5.35 (5.38) proj_loss: -0.6064 (-0.6083) time: 0.4908 data: 0.0017
[11-26 07:49:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 340/350] Total time: 0:14:15 (0.513 s / it)
[11-26 07:49:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1668/1669] eta: 0:00:00 tlr: 9e-06 tnm: 0.64 Lm: 6.486 (6.512) Lt: 5.804 (5.771) Accm: 3.50 (3.33) Acct: 5.46 (5.19) proj_loss: -0.5960 (-0.6006) time: 0.4908 data: 0.0013
[11-26 07:49:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1668/1669] eta: 0:00:00 tlr: 9e-06 tnm: 0.64 Lm: 6.451 (6.462) Lt: 5.686 (5.732) Accm: 3.63 (3.56) Acct: 5.82 (5.49) proj_loss: -0.6097 (-0.6101) time: 0.4908 data: 0.0019
[11-26 07:49:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 340/350] [1668/1669] eta: 0:00:00 tlr: 9e-06 tnm: 0.64 Lm: 6.531 (6.468) Lt: 5.806 (5.733) Accm: 3.35 (3.59) Acct: 5.27 (5.60) proj_loss: -0.6240 (-0.6208) time: 0.4908 data: 0.0019
[11-26 07:49:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 340/350] Total time: 0:14:15 (0.513 s / it)
[11-26 07:49:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 340/350] Total time: 0:14:15 (0.513 s / it)
[11-26 07:49:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 340/350] Total time: 0:14:15 (0.513 s / it)
[11-26 07:49:10] (/home/user/VAR/train.py , line 276)=> [ep340] (training ) Lm: 6.497 (6.498), Lt: 5.746 (5.757), Acc m&t: 3.44 5.41, Remain: 2:04:05, Finish: 2024-11-25 17:53
[11-26 07:49:10] (/home/user/VAR/train.py , line 276)=> [ep340] (training ) Lm: 6.497 (6.498), Lt: 5.746 (5.757), Acc m&t: 3.44 5.41, Remain: 2:04:11, Finish: 2024-11-25 17:53
[11-26 07:49:10] (/home/user/VAR/train.py , line 276)=> [ep340] (training ) Lm: 6.497 (6.498), Lt: 5.746 (5.757), Acc m&t: 3.44 5.41, Remain: 2:04:10, Finish: 2024-11-25 17:53
[11-26 07:49:10] (/home/user/VAR/train.py , line 276)=> [ep340] (training ) Lm: 6.497 (6.498), Lt: 5.746 (5.757), Acc m&t: 3.44 5.41, Remain: 2:04:11, Finish: 2024-11-25 17:53
[11-26 07:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 0/1669] eta: 0:13:43 tlr: 9e-06 tnm: 0.64 Lm: 6.373 (6.373) Lt: 5.588 (5.588) Accm: 4.22 (4.22) Acct: 6.70 (6.70) proj_loss: -0.5964 (-0.5964) time: 0.4936 data: 0.0003
[11-26 07:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 0/1669] eta: 0:13:44 tlr: 9e-06 tnm: 0.64 Lm: 6.481 (6.481) Lt: 5.710 (5.710) Accm: 3.25 (3.25) Acct: 5.27 (5.27) proj_loss: -0.6010 (-0.6010) time: 0.4940 data: 0.0004
[11-26 07:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 0/1669] eta: 0:13:44 tlr: 9e-06 tnm: 0.64 Lm: 6.499 (6.499) Lt: 5.675 (5.675) Accm: 3.63 (3.63) Acct: 5.97 (5.97) proj_loss: -0.5987 (-0.5987) time: 0.4940 data: 0.0005
[11-26 07:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 0/1669] eta: 0:14:34 tlr: 9e-06 tnm: 0.64 Lm: 6.561 (6.561) Lt: 5.814 (5.814) Accm: 3.63 (3.63) Acct: 5.61 (5.61) proj_loss: -0.6009 (-0.6009) time: 0.5242 data: 0.0004
[11-26 07:52:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 417/1669] eta: 0:10:31 tlr: 8.8e-06 tnm: 0.63 Lm: 6.463 (6.463) Lt: 5.690 (5.690) Accm: 3.72 (3.72) Acct: 5.85 (5.85) proj_loss: -0.6020 (-0.6020) time: 0.5422 data: 0.0003
[11-26 07:52:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 417/1669] eta: 0:10:31 tlr: 8.8e-06 tnm: 0.63 Lm: 6.415 (6.415) Lt: 5.619 (5.619) Accm: 3.58 (3.58) Acct: 5.74 (5.74) proj_loss: -0.5905 (-0.5905) time: 0.5422 data: 0.0003
[11-26 07:52:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 417/1669] eta: 0:10:31 tlr: 8.8e-06 tnm: 0.63 Lm: 6.494 (6.494) Lt: 5.714 (5.714) Accm: 3.63 (3.63) Acct: 5.64 (5.64) proj_loss: -0.6067 (-0.6067) time: 0.5422 data: 0.0003
[11-26 07:52:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 417/1669] eta: 0:10:31 tlr: 8.8e-06 tnm: 0.63 Lm: 6.555 (6.555) Lt: 5.807 (5.807) Accm: 3.41 (3.41) Acct: 5.37 (5.37) proj_loss: -0.6012 (-0.6012) time: 0.5422 data: 0.0003
[11-26 07:56:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 834/1669] eta: 0:06:56 tlr: 8.6e-06 tnm: 0.64 Lm: 6.561 (6.591) Lt: 5.814 (5.868) Accm: 3.19 (3.28) Acct: 5.13 (5.11) proj_loss: -0.6014 (-0.6017) time: 0.4913 data: 0.0003
[11-26 07:56:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 834/1669] eta: 0:06:56 tlr: 8.6e-06 tnm: 0.64 Lm: 6.481 (6.504) Lt: 5.710 (5.724) Accm: 3.25 (3.37) Acct: 5.27 (5.39) proj_loss: -0.6004 (-0.5938) time: 0.4913 data: 0.0003
[11-26 07:56:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 834/1669] eta: 0:06:56 tlr: 8.6e-06 tnm: 0.64 Lm: 6.602 (6.530) Lt: 5.840 (5.760) Accm: 3.49 (3.58) Acct: 5.70 (5.66) proj_loss: -0.6092 (-0.6075) time: 0.4913 data: 0.0003
[11-26 07:56:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [ 834/1669] eta: 0:06:56 tlr: 8.6e-06 tnm: 0.64 Lm: 6.499 (6.501) Lt: 5.705 (5.736) Accm: 3.63 (3.51) Acct: 5.73 (5.54) proj_loss: -0.5987 (-0.6008) time: 0.4913 data: 0.0003
[11-26 07:59:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1251/1669] eta: 0:03:30 tlr: 8.4e-06 tnm: 0.66 Lm: 6.463 (6.450) Lt: 5.690 (5.684) Accm: 3.72 (3.73) Acct: 5.85 (5.87) proj_loss: -0.6020 (-0.6032) time: 0.4880 data: 0.0003
[11-26 07:59:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1251/1669] eta: 0:03:30 tlr: 8.4e-06 tnm: 0.66 Lm: 6.555 (6.574) Lt: 5.807 (5.845) Accm: 3.35 (3.34) Acct: 5.35 (5.22) proj_loss: -0.6020 (-0.6039) time: 0.4880 data: 0.0003
[11-26 07:59:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1251/1669] eta: 0:03:30 tlr: 8.4e-06 tnm: 0.66 Lm: 6.594 (6.544) Lt: 5.846 (5.794) Accm: 3.26 (3.44) Acct: 5.14 (5.38) proj_loss: -0.6131 (-0.6123) time: 0.4880 data: 0.0003
[11-26 07:59:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1251/1669] eta: 0:03:30 tlr: 8.4e-06 tnm: 0.66 Lm: 6.511 (6.513) Lt: 5.753 (5.742) Accm: 3.25 (3.34) Acct: 5.27 (5.36) proj_loss: -0.5994 (-0.5950) time: 0.4880 data: 0.0003
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-06 tnm: 0.66 Lm: 6.491 (6.509) Lt: 5.792 (5.752) Accm: 3.26 (3.41) Acct: 5.27 (5.41) proj_loss: -0.6004 (-0.5968) time: 0.4956 data: 0.0017
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 341/350] Total time: 0:14:01 (0.504 s / it)
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-06 tnm: 0.66 Lm: 6.550 (6.544) Lt: 5.800 (5.805) Accm: 3.52 (3.40) Acct: 5.56 (5.33) proj_loss: -0.6026 (-0.6069) time: 0.4956 data: 0.0016
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-06 tnm: 0.66 Lm: 6.585 (6.545) Lt: 5.840 (5.802) Accm: 3.49 (3.48) Acct: 5.70 (5.46) proj_loss: -0.6098 (-0.6118) time: 0.4956 data: 0.0015
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 341/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-06 tnm: 0.66 Lm: 6.499 (6.463) Lt: 5.703 (5.687) Accm: 3.63 (3.65) Acct: 5.73 (5.72) proj_loss: -0.5987 (-0.6017) time: 0.4956 data: 0.0017
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 341/350] Total time: 0:14:01 (0.504 s / it)
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 341/350] Total time: 0:14:01 (0.504 s / it)
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 341/350] Total time: 0:14:01 (0.504 s / it)
[11-26 08:03:12] (/home/user/VAR/train.py , line 276)=> [ep341] (training ) Lm: 6.497 (6.505), Lt: 5.746 (5.752), Acc m&t: 3.44 5.41, Remain: 1:51:00, Finish: 2024-11-25 17:54
[11-26 08:03:12] (/home/user/VAR/train.py , line 276)=> [ep341] (training ) Lm: 6.497 (6.505), Lt: 5.746 (5.752), Acc m&t: 3.44 5.41, Remain: 1:51:03, Finish: 2024-11-25 17:54
[11-26 08:03:12] (/home/user/VAR/train.py , line 276)=> [ep341] (training ) Lm: 6.497 (6.505), Lt: 5.746 (5.752), Acc m&t: 3.44 5.41, Remain: 1:51:01, Finish: 2024-11-25 17:54
[11-26 08:03:12] (/home/user/VAR/train.py , line 276)=> [ep341] (training ) Lm: 6.497 (6.505), Lt: 5.746 (5.752), Acc m&t: 3.44 5.41, Remain: 1:50:59, Finish: 2024-11-25 17:54
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 0/1669] eta: 0:12:45 tlr: 8.2e-06 tnm: 0.65 Lm: 6.602 (6.602) Lt: 5.880 (5.880) Accm: 3.09 (3.09) Acct: 4.91 (4.91) proj_loss: -0.6052 (-0.6052) time: 0.4586 data: 0.0004
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 0/1669] eta: 0:12:45 tlr: 8.2e-06 tnm: 0.65 Lm: 6.365 (6.365) Lt: 5.612 (5.612) Accm: 3.86 (3.86) Acct: 5.87 (5.87) proj_loss: -0.6018 (-0.6018) time: 0.4588 data: 0.0004
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 0/1669] eta: 0:12:46 tlr: 8.2e-06 tnm: 0.65 Lm: 6.419 (6.419) Lt: 5.707 (5.707) Accm: 3.66 (3.66) Acct: 5.68 (5.68) proj_loss: -0.6156 (-0.6156) time: 0.4591 data: 0.0003
[11-26 08:03:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 0/1669] eta: 0:12:46 tlr: 8.2e-06 tnm: 0.65 Lm: 6.505 (6.505) Lt: 5.754 (5.754) Accm: 3.07 (3.07) Acct: 4.68 (4.68) proj_loss: -0.6044 (-0.6044) time: 0.4590 data: 0.0004
[11-26 08:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 417/1669] eta: 0:10:49 tlr: 8.1e-06 tnm: 0.65 Lm: 6.503 (6.503) Lt: 5.787 (5.787) Accm: 3.23 (3.23) Acct: 4.87 (4.87) proj_loss: -0.6053 (-0.6053) time: 0.4893 data: 0.0003
[11-26 08:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 417/1669] eta: 0:10:49 tlr: 8.1e-06 tnm: 0.65 Lm: 6.586 (6.586) Lt: 5.871 (5.871) Accm: 3.30 (3.30) Acct: 5.25 (5.25) proj_loss: -0.6002 (-0.6002) time: 0.4893 data: 0.0003
[11-26 08:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 417/1669] eta: 0:10:49 tlr: 8.1e-06 tnm: 0.65 Lm: 6.450 (6.450) Lt: 5.688 (5.688) Accm: 3.56 (3.56) Acct: 5.66 (5.66) proj_loss: -0.6031 (-0.6031) time: 0.4893 data: 0.0002
[11-26 08:06:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 417/1669] eta: 0:10:49 tlr: 8.1e-06 tnm: 0.65 Lm: 6.525 (6.525) Lt: 5.773 (5.773) Accm: 3.45 (3.45) Acct: 5.44 (5.44) proj_loss: -0.6158 (-0.6158) time: 0.4893 data: 0.0003
[11-26 08:10:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 834/1669] eta: 0:07:12 tlr: 7.9e-06 tnm: 0.65 Lm: 6.602 (6.584) Lt: 5.880 (5.864) Accm: 3.09 (3.27) Acct: 4.91 (5.15) proj_loss: -0.6115 (-0.6144) time: 0.4901 data: 0.0003
[11-26 08:10:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 834/1669] eta: 0:07:12 tlr: 7.9e-06 tnm: 0.65 Lm: 6.505 (6.521) Lt: 5.781 (5.785) Accm: 3.25 (3.24) Acct: 4.96 (4.90) proj_loss: -0.6044 (-0.5964) time: 0.4901 data: 0.0003
[11-26 08:10:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 834/1669] eta: 0:07:12 tlr: 7.9e-06 tnm: 0.65 Lm: 6.423 (6.441) Lt: 5.688 (5.688) Accm: 3.56 (3.56) Acct: 5.66 (5.66) proj_loss: -0.6023 (-0.6028) time: 0.4901 data: 0.0003
[11-26 08:10:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [ 834/1669] eta: 0:07:12 tlr: 7.9e-06 tnm: 0.65 Lm: 6.555 (6.575) Lt: 5.811 (5.851) Accm: 3.37 (3.32) Acct: 5.27 (5.26) proj_loss: -0.6002 (-0.6002) time: 0.4901 data: 0.0003
[11-26 08:13:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1251/1669] eta: 0:03:34 tlr: 7.7e-06 tnm: 0.65 Lm: 6.559 (6.572) Lt: 5.779 (5.825) Accm: 3.29 (3.29) Acct: 5.30 (5.28) proj_loss: -0.5924 (-0.5940) time: 0.4885 data: 0.0003
[11-26 08:13:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1251/1669] eta: 0:03:34 tlr: 7.7e-06 tnm: 0.65 Lm: 6.479 (6.475) Lt: 5.726 (5.730) Accm: 3.53 (3.54) Acct: 5.55 (5.60) proj_loss: -0.6033 (-0.6033) time: 0.4885 data: 0.0003
[11-26 08:13:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1251/1669] eta: 0:03:34 tlr: 7.7e-06 tnm: 0.65 Lm: 6.506 (6.517) Lt: 5.768 (5.766) Accm: 3.30 (3.26) Acct: 5.01 (5.04) proj_loss: -0.6053 (-0.5996) time: 0.4885 data: 0.0003
[11-26 08:13:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1251/1669] eta: 0:03:34 tlr: 7.7e-06 tnm: 0.65 Lm: 6.525 (6.535) Lt: 5.773 (5.804) Accm: 3.45 (3.45) Acct: 5.44 (5.35) proj_loss: -0.6154 (-0.6156) time: 0.4885 data: 0.0004
[11-26 08:17:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-06 tnm: 0.65 Lm: 6.532 (6.534) Lt: 5.781 (5.800) Accm: 3.29 (3.41) Acct: 5.08 (5.30) proj_loss: -0.6115 (-0.6138) time: 0.4901 data: 0.0015
[11-26 08:17:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 342/350] Total time: 0:14:12 (0.511 s / it)
[11-26 08:17:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-06 tnm: 0.65 Lm: 6.564 (6.575) Lt: 5.811 (5.838) Accm: 3.20 (3.23) Acct: 5.27 (5.12) proj_loss: -0.6002 (-0.5969) time: 0.4901 data: 0.0018
[11-26 08:17:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-06 tnm: 0.65 Lm: 6.505 (6.487) Lt: 5.754 (5.736) Accm: 3.34 (3.36) Acct: 5.06 (5.21) proj_loss: -0.6044 (-0.6005) time: 0.4901 data: 0.0017
[11-26 08:17:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 342/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-06 tnm: 0.65 Lm: 6.423 (6.455) Lt: 5.688 (5.697) Accm: 3.56 (3.57) Acct: 5.66 (5.64) proj_loss: -0.6044 (-0.6060) time: 0.4901 data: 0.0019
[11-26 08:17:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 342/350] Total time: 0:14:12 (0.511 s / it)
[11-26 08:17:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 342/350] Total time: 0:14:12 (0.511 s / it)
[11-26 08:17:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 342/350] Total time: 0:14:12 (0.511 s / it)
[11-26 08:17:24] (/home/user/VAR/train.py , line 276)=> [ep342] (training ) Lm: 6.497 (6.503), Lt: 5.746 (5.760), Acc m&t: 3.44 5.41, Remain: 1:36:31, Finish: 2024-11-25 17:53
[11-26 08:17:24] (/home/user/VAR/train.py , line 276)=> [ep342] (training ) Lm: 6.497 (6.503), Lt: 5.746 (5.760), Acc m&t: 3.44 5.41, Remain: 1:36:29, Finish: 2024-11-25 17:53
[11-26 08:17:24] (/home/user/VAR/train.py , line 276)=> [ep342] (training ) Lm: 6.497 (6.503), Lt: 5.746 (5.760), Acc m&t: 3.44 5.41, Remain: 1:36:29, Finish: 2024-11-25 17:53
[11-26 08:17:24] (/home/user/VAR/train.py , line 276)=> [ep342] (training ) Lm: 6.497 (6.503), Lt: 5.746 (5.760), Acc m&t: 3.44 5.41, Remain: 1:36:30, Finish: 2024-11-25 17:53
[11-26 08:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 0/1669] eta: 0:12:53 tlr: 7.5e-06 tnm: 0.64 Lm: 6.351 (6.351) Lt: 5.590 (5.590) Accm: 3.77 (3.77) Acct: 5.82 (5.82) proj_loss: -0.5990 (-0.5990) time: 0.4634 data: 0.0003
[11-26 08:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 0/1669] eta: 0:12:53 tlr: 7.5e-06 tnm: 0.64 Lm: 6.288 (6.288) Lt: 5.509 (5.509) Accm: 3.93 (3.93) Acct: 6.44 (6.44) proj_loss: -0.6295 (-0.6295) time: 0.4637 data: 0.0003
[11-26 08:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 0/1669] eta: 0:12:54 tlr: 7.5e-06 tnm: 0.64 Lm: 6.450 (6.450) Lt: 5.698 (5.698) Accm: 3.72 (3.72) Acct: 6.27 (6.27) proj_loss: -0.5790 (-0.5790) time: 0.4640 data: 0.0004
[11-26 08:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 0/1669] eta: 0:12:54 tlr: 7.5e-06 tnm: 0.64 Lm: 6.595 (6.595) Lt: 5.888 (5.888) Accm: 3.09 (3.09) Acct: 4.65 (4.65) proj_loss: -0.6236 (-0.6236) time: 0.4640 data: 0.0004
[11-26 08:20:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 417/1669] eta: 0:10:37 tlr: 7.3e-06 tnm: 0.64 Lm: 6.560 (6.560) Lt: 5.858 (5.858) Accm: 3.21 (3.21) Acct: 4.89 (4.89) proj_loss: -0.6036 (-0.6036) time: 0.5377 data: 0.0003
[11-26 08:20:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 417/1669] eta: 0:10:37 tlr: 7.3e-06 tnm: 0.64 Lm: 6.389 (6.389) Lt: 5.611 (5.611) Accm: 3.58 (3.58) Acct: 5.81 (5.81) proj_loss: -0.6274 (-0.6274) time: 0.5378 data: 0.0003
[11-26 08:20:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 417/1669] eta: 0:10:37 tlr: 7.3e-06 tnm: 0.64 Lm: 6.444 (6.444) Lt: 5.675 (5.675) Accm: 3.74 (3.74) Acct: 6.04 (6.04) proj_loss: -0.5912 (-0.5912) time: 0.5378 data: 0.0003
[11-26 08:20:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 417/1669] eta: 0:10:37 tlr: 7.3e-06 tnm: 0.64 Lm: 6.382 (6.382) Lt: 5.622 (5.622) Accm: 3.72 (3.72) Acct: 5.67 (5.67) proj_loss: -0.6158 (-0.6158) time: 0.5378 data: 0.0003
[11-26 08:24:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 834/1669] eta: 0:07:10 tlr: 7.1e-06 tnm: 0.64 Lm: 6.413 (6.447) Lt: 5.655 (5.711) Accm: 3.67 (3.54) Acct: 5.53 (5.44) proj_loss: -0.6202 (-0.6172) time: 0.4874 data: 0.0003
[11-26 08:24:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 834/1669] eta: 0:07:10 tlr: 7.1e-06 tnm: 0.64 Lm: 6.422 (6.400) Lt: 5.626 (5.616) Accm: 3.45 (3.54) Acct: 5.80 (5.81) proj_loss: -0.6253 (-0.6169) time: 0.4874 data: 0.0003
[11-26 08:24:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 834/1669] eta: 0:07:10 tlr: 7.1e-06 tnm: 0.64 Lm: 6.450 (6.492) Lt: 5.698 (5.717) Accm: 3.72 (3.61) Acct: 5.82 (5.73) proj_loss: -0.5933 (-0.5919) time: 0.4875 data: 0.0003
[11-26 08:24:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [ 834/1669] eta: 0:07:10 tlr: 7.1e-06 tnm: 0.64 Lm: 6.526 (6.527) Lt: 5.827 (5.808) Accm: 3.31 (3.24) Acct: 5.11 (4.96) proj_loss: -0.6044 (-0.6039) time: 0.4875 data: 0.0003
[11-26 08:28:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1251/1669] eta: 0:03:34 tlr: 7e-06 tnm: 0.64 Lm: 6.447 (6.480) Lt: 5.724 (5.725) Accm: 3.59 (3.57) Acct: 5.59 (5.63) proj_loss: -0.5984 (-0.5952) time: 0.4922 data: 0.0003
[11-26 08:28:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1251/1669] eta: 0:03:34 tlr: 7e-06 tnm: 0.64 Lm: 6.456 (6.434) Lt: 5.669 (5.673) Accm: 3.34 (3.44) Acct: 5.49 (5.53) proj_loss: -0.6190 (-0.6159) time: 0.4922 data: 0.0003
[11-26 08:28:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1251/1669] eta: 0:03:34 tlr: 7e-06 tnm: 0.64 Lm: 6.405 (6.435) Lt: 5.649 (5.694) Accm: 3.62 (3.55) Acct: 5.46 (5.43) proj_loss: -0.6172 (-0.6165) time: 0.4922 data: 0.0003
[11-26 08:28:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1251/1669] eta: 0:03:34 tlr: 7e-06 tnm: 0.64 Lm: 6.494 (6.473) Lt: 5.768 (5.747) Accm: 3.32 (3.43) Acct: 5.12 (5.25) proj_loss: -0.6092 (-0.6064) time: 0.4922 data: 0.0003
[11-26 08:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-06 tnm: 0.65 Lm: 6.464 (6.471) Lt: 5.716 (5.741) Accm: 3.34 (3.48) Acct: 5.13 (5.36) proj_loss: -0.6044 (-0.6054) time: 0.4903 data: 0.0016
[11-26 08:31:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 343/350] Total time: 0:14:17 (0.514 s / it)
[11-26 08:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-06 tnm: 0.65 Lm: 6.398 (6.407) Lt: 5.643 (5.656) Accm: 3.67 (3.65) Acct: 5.53 (5.63) proj_loss: -0.6145 (-0.6161) time: 0.4903 data: 0.0013
[11-26 08:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-06 tnm: 0.65 Lm: 6.453 (6.438) Lt: 5.713 (5.691) Accm: 3.45 (3.49) Acct: 5.30 (5.49) proj_loss: -0.6239 (-0.6175) time: 0.4903 data: 0.0019
[11-26 08:31:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 343/350] [1668/1669] eta: 0:00:00 tlr: 6.8e-06 tnm: 0.65 Lm: 6.450 (6.499) Lt: 5.750 (5.760) Accm: 3.47 (3.49) Acct: 5.35 (5.44) proj_loss: -0.6035 (-0.5986) time: 0.4903 data: 0.0016
[11-26 08:31:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 343/350] Total time: 0:14:17 (0.514 s / it)
[11-26 08:31:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 343/350] Total time: 0:14:17 (0.514 s / it)
[11-26 08:31:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 343/350] Total time: 0:14:17 (0.514 s / it)
[11-26 08:31:42] (/home/user/VAR/train.py , line 276)=> [ep343] (training ) Lm: 6.497 (6.498), Lt: 5.746 (5.750), Acc m&t: 3.44 5.41, Remain: 1:22:38, Finish: 2024-11-25 17:54
[11-26 08:31:42] (/home/user/VAR/train.py , line 276)=> [ep343] (training ) Lm: 6.497 (6.498), Lt: 5.746 (5.750), Acc m&t: 3.44 5.41, Remain: 1:22:40, Finish: 2024-11-25 17:54
[11-26 08:31:42] (/home/user/VAR/train.py , line 276)=> [ep343] (training ) Lm: 6.497 (6.498), Lt: 5.746 (5.750), Acc m&t: 3.44 5.41, Remain: 1:22:39, Finish: 2024-11-25 17:54
[11-26 08:31:42] (/home/user/VAR/train.py , line 276)=> [ep343] (training ) Lm: 6.497 (6.498), Lt: 5.746 (5.750), Acc m&t: 3.44 5.41, Remain: 1:22:39, Finish: 2024-11-25 17:54
[11-26 08:31:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 0/1669] eta: 0:13:01 tlr: 6.8e-06 tnm: 0.65 Lm: 6.518 (6.518) Lt: 5.818 (5.818) Accm: 3.45 (3.45) Acct: 5.65 (5.65) proj_loss: -0.6092 (-0.6092) time: 0.4685 data: 0.0003
[11-26 08:31:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 0/1669] eta: 0:13:02 tlr: 6.8e-06 tnm: 0.65 Lm: 6.557 (6.557) Lt: 5.809 (5.809) Accm: 3.27 (3.27) Acct: 5.17 (5.17) proj_loss: -0.6071 (-0.6071) time: 0.4687 data: 0.0003
[11-26 08:31:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 0/1669] eta: 0:13:01 tlr: 6.8e-06 tnm: 0.65 Lm: 6.440 (6.440) Lt: 5.644 (5.644) Accm: 3.55 (3.55) Acct: 5.80 (5.80) proj_loss: -0.5961 (-0.5961) time: 0.4685 data: 0.0003
[11-26 08:31:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 0/1669] eta: 0:13:02 tlr: 6.8e-06 tnm: 0.65 Lm: 6.474 (6.474) Lt: 5.672 (5.672) Accm: 3.67 (3.67) Acct: 6.01 (6.01) proj_loss: -0.5858 (-0.5858) time: 0.4690 data: 0.0004
[11-26 08:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 417/1669] eta: 0:10:17 tlr: 6.6e-06 tnm: 0.65 Lm: 6.535 (6.535) Lt: 5.772 (5.772) Accm: 3.55 (3.55) Acct: 5.74 (5.74) proj_loss: -0.6000 (-0.6000) time: 0.4925 data: 0.0003
[11-26 08:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 417/1669] eta: 0:10:17 tlr: 6.6e-06 tnm: 0.65 Lm: 6.582 (6.582) Lt: 5.860 (5.860) Accm: 3.11 (3.11) Acct: 4.98 (4.98) proj_loss: -0.6110 (-0.6110) time: 0.4925 data: 0.0003
[11-26 08:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 417/1669] eta: 0:10:17 tlr: 6.6e-06 tnm: 0.65 Lm: 6.570 (6.570) Lt: 5.898 (5.898) Accm: 3.19 (3.19) Acct: 5.07 (5.07) proj_loss: -0.6165 (-0.6165) time: 0.4924 data: 0.0003
[11-26 08:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 417/1669] eta: 0:10:17 tlr: 6.6e-06 tnm: 0.65 Lm: 6.508 (6.508) Lt: 5.754 (5.754) Accm: 3.38 (3.38) Acct: 5.26 (5.26) proj_loss: -0.5969 (-0.5969) time: 0.4924 data: 0.0003
[11-26 08:38:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 834/1669] eta: 0:06:54 tlr: 6.4e-06 tnm: 0.64 Lm: 6.576 (6.551) Lt: 5.864 (5.815) Accm: 3.22 (3.27) Acct: 4.72 (5.05) proj_loss: -0.5977 (-0.5992) time: 0.5362 data: 0.0002
[11-26 08:38:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 834/1669] eta: 0:06:54 tlr: 6.4e-06 tnm: 0.64 Lm: 6.557 (6.571) Lt: 5.809 (5.830) Accm: 3.27 (3.22) Acct: 5.17 (5.09) proj_loss: -0.6071 (-0.6049) time: 0.5362 data: 0.0003
[11-26 08:38:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 834/1669] eta: 0:06:54 tlr: 6.4e-06 tnm: 0.64 Lm: 6.474 (6.431) Lt: 5.672 (5.674) Accm: 3.67 (3.66) Acct: 6.01 (5.84) proj_loss: -0.6141 (-0.6088) time: 0.5362 data: 0.0003
[11-26 08:38:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [ 834/1669] eta: 0:06:54 tlr: 6.4e-06 tnm: 0.64 Lm: 6.518 (6.526) Lt: 5.818 (5.821) Accm: 3.45 (3.41) Acct: 5.65 (5.39) proj_loss: -0.6092 (-0.6118) time: 0.5362 data: 0.0003
[11-26 08:42:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1251/1669] eta: 0:03:31 tlr: 6.2e-06 tnm: 0.65 Lm: 6.491 (6.510) Lt: 5.766 (5.794) Accm: 3.62 (3.50) Acct: 5.82 (5.54) proj_loss: -0.6057 (-0.6094) time: 0.4914 data: 0.0003
[11-26 08:42:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1251/1669] eta: 0:03:31 tlr: 6.2e-06 tnm: 0.65 Lm: 6.553 (6.543) Lt: 5.789 (5.787) Accm: 3.32 (3.26) Acct: 5.24 (5.19) proj_loss: -0.5999 (-0.5996) time: 0.4914 data: 0.0003
[11-26 08:42:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1251/1669] eta: 0:03:31 tlr: 6.2e-06 tnm: 0.65 Lm: 6.425 (6.417) Lt: 5.647 (5.661) Accm: 3.67 (3.66) Acct: 5.92 (5.84) proj_loss: -0.6188 (-0.6125) time: 0.4914 data: 0.0003
[11-26 08:42:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1251/1669] eta: 0:03:31 tlr: 6.2e-06 tnm: 0.65 Lm: 6.568 (6.553) Lt: 5.823 (5.807) Accm: 3.25 (3.27) Acct: 5.00 (5.11) proj_loss: -0.5969 (-0.5977) time: 0.4914 data: 0.0003
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1668/1669] eta: 0:00:00 tlr: 6e-06 tnm: 0.66 Lm: 6.560 (6.538) Lt: 5.783 (5.801) Accm: 3.28 (3.31) Acct: 5.29 (5.15) proj_loss: -0.5977 (-0.5993) time: 0.4914 data: 0.0019
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 344/350] Total time: 0:13:59 (0.503 s / it)
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1668/1669] eta: 0:00:00 tlr: 6e-06 tnm: 0.66 Lm: 6.548 (6.520) Lt: 5.770 (5.765) Accm: 3.37 (3.37) Acct: 5.32 (5.30) proj_loss: -0.5956 (-0.5988) time: 0.4914 data: 0.0016
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1668/1669] eta: 0:00:00 tlr: 6e-06 tnm: 0.66 Lm: 6.518 (6.522) Lt: 5.818 (5.803) Accm: 3.45 (3.40) Acct: 5.65 (5.36) proj_loss: -0.6051 (-0.6085) time: 0.4914 data: 0.0015
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 344/350] [1668/1669] eta: 0:00:00 tlr: 6e-06 tnm: 0.66 Lm: 6.474 (6.428) Lt: 5.672 (5.672) Accm: 3.66 (3.61) Acct: 5.84 (5.73) proj_loss: -0.6141 (-0.6099) time: 0.4914 data: 0.0018
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 344/350] Total time: 0:13:59 (0.503 s / it)
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 344/350] Total time: 0:13:59 (0.503 s / it)
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 344/350] Total time: 0:13:59 (0.503 s / it)
[11-26 08:45:42] (/home/user/VAR/train.py , line 276)=> [ep344] (training ) Lm: 6.497 (6.510), Lt: 5.746 (5.769), Acc m&t: 3.44 5.41, Remain: 1:09:15, Finish: 2024-11-25 17:54
[11-26 08:45:42] (/home/user/VAR/train.py , line 276)=> [ep344] (training ) Lm: 6.497 (6.510), Lt: 5.746 (5.769), Acc m&t: 3.44 5.41, Remain: 1:09:13, Finish: 2024-11-25 17:54
[11-26 08:45:42] (/home/user/VAR/train.py , line 276)=> [ep344] (training ) Lm: 6.497 (6.510), Lt: 5.746 (5.769), Acc m&t: 3.44 5.41, Remain: 1:09:17, Finish: 2024-11-25 17:54
[11-26 08:45:42] (/home/user/VAR/train.py , line 276)=> [ep344] (training ) Lm: 6.497 (6.510), Lt: 5.746 (5.769), Acc m&t: 3.44 5.41, Remain: 1:09:17, Finish: 2024-11-25 17:54
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 0/1669] eta: 0:12:48 tlr: 6e-06 tnm: 0.63 Lm: 6.451 (6.451) Lt: 5.707 (5.707) Accm: 3.47 (3.47) Acct: 5.48 (5.48) proj_loss: -0.5929 (-0.5929) time: 0.4605 data: 0.0003
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 0/1669] eta: 0:12:49 tlr: 6e-06 tnm: 0.63 Lm: 6.271 (6.271) Lt: 5.525 (5.525) Accm: 4.39 (4.39) Acct: 6.75 (6.75) proj_loss: -0.6069 (-0.6069) time: 0.4610 data: 0.0003
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 0/1669] eta: 0:12:49 tlr: 6e-06 tnm: 0.63 Lm: 6.609 (6.609) Lt: 5.810 (5.810) Accm: 3.39 (3.39) Acct: 5.53 (5.53) proj_loss: -0.5963 (-0.5963) time: 0.4612 data: 0.0004
[11-26 08:45:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 0/1669] eta: 0:12:50 tlr: 6e-06 tnm: 0.63 Lm: 6.491 (6.491) Lt: 5.729 (5.729) Accm: 3.42 (3.42) Acct: 5.49 (5.49) proj_loss: -0.6134 (-0.6134) time: 0.4614 data: 0.0004
[11-26 08:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 417/1669] eta: 0:11:05 tlr: 5.9e-06 tnm: 0.65 Lm: 6.472 (6.472) Lt: 5.745 (5.745) Accm: 3.47 (3.47) Acct: 5.31 (5.31) proj_loss: -0.6221 (-0.6221) time: 0.4900 data: 0.0003
[11-26 08:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 417/1669] eta: 0:11:05 tlr: 5.9e-06 tnm: 0.65 Lm: 6.307 (6.307) Lt: 5.536 (5.536) Accm: 4.15 (4.15) Acct: 6.68 (6.68) proj_loss: -0.6098 (-0.6098) time: 0.4900 data: 0.0003
[11-26 08:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 417/1669] eta: 0:11:05 tlr: 5.9e-06 tnm: 0.65 Lm: 6.516 (6.516) Lt: 5.775 (5.775) Accm: 3.38 (3.38) Acct: 5.38 (5.38) proj_loss: -0.5932 (-0.5932) time: 0.4900 data: 0.0003
[11-26 08:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 417/1669] eta: 0:11:05 tlr: 5.9e-06 tnm: 0.65 Lm: 6.591 (6.591) Lt: 5.826 (5.826) Accm: 3.26 (3.26) Acct: 5.12 (5.12) proj_loss: -0.5955 (-0.5955) time: 0.4900 data: 0.0003
[11-26 08:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 834/1669] eta: 0:07:11 tlr: 5.7e-06 tnm: 0.66 Lm: 6.579 (6.587) Lt: 5.838 (5.830) Accm: 3.21 (3.24) Acct: 5.18 (5.14) proj_loss: -0.5963 (-0.5996) time: 0.4913 data: 0.0003
[11-26 08:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 834/1669] eta: 0:07:11 tlr: 5.7e-06 tnm: 0.66 Lm: 6.542 (6.525) Lt: 5.788 (5.779) Accm: 3.45 (3.40) Acct: 5.29 (5.30) proj_loss: -0.5936 (-0.5961) time: 0.4913 data: 0.0003
[11-26 08:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 834/1669] eta: 0:07:11 tlr: 5.7e-06 tnm: 0.66 Lm: 6.468 (6.471) Lt: 5.729 (5.728) Accm: 3.47 (3.47) Acct: 5.41 (5.34) proj_loss: -0.6178 (-0.6206) time: 0.4913 data: 0.0003
[11-26 08:52:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [ 834/1669] eta: 0:07:11 tlr: 5.7e-06 tnm: 0.66 Lm: 6.343 (6.366) Lt: 5.548 (5.598) Accm: 3.90 (3.93) Acct: 6.61 (6.42) proj_loss: -0.6069 (-0.6030) time: 0.4913 data: 0.0003
[11-26 08:56:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1251/1669] eta: 0:03:33 tlr: 5.5e-06 tnm: 0.65 Lm: 6.414 (6.435) Lt: 5.634 (5.674) Accm: 3.70 (3.70) Acct: 6.25 (6.02) proj_loss: -0.6098 (-0.6074) time: 0.4920 data: 0.0003
[11-26 08:56:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1251/1669] eta: 0:03:33 tlr: 5.5e-06 tnm: 0.65 Lm: 6.553 (6.535) Lt: 5.812 (5.793) Accm: 3.37 (3.35) Acct: 5.22 (5.21) proj_loss: -0.5945 (-0.5959) time: 0.4920 data: 0.0003
[11-26 08:56:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1251/1669] eta: 0:03:33 tlr: 5.5e-06 tnm: 0.65 Lm: 6.479 (6.486) Lt: 5.745 (5.742) Accm: 3.50 (3.49) Acct: 5.41 (5.36) proj_loss: -0.6182 (-0.6201) time: 0.4920 data: 0.0003
[11-26 08:56:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1251/1669] eta: 0:03:33 tlr: 5.5e-06 tnm: 0.65 Lm: 6.576 (6.561) Lt: 5.824 (5.801) Accm: 3.30 (3.33) Acct: 5.35 (5.30) proj_loss: -0.5994 (-0.6003) time: 0.4920 data: 0.0003
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-06 tnm: 0.66 Lm: 6.573 (6.537) Lt: 5.810 (5.770) Accm: 3.39 (3.34) Acct: 5.53 (5.37) proj_loss: -0.5982 (-0.5999) time: 0.4921 data: 0.0020
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 345/350] Total time: 0:14:12 (0.511 s / it)
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-06 tnm: 0.66 Lm: 6.485 (6.480) Lt: 5.721 (5.737) Accm: 3.49 (3.56) Acct: 5.89 (5.76) proj_loss: -0.6127 (-0.6103) time: 0.4921 data: 0.0022
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-06 tnm: 0.66 Lm: 6.490 (6.487) Lt: 5.755 (5.745) Accm: 3.53 (3.50) Acct: 5.42 (5.41) proj_loss: -0.6186 (-0.6198) time: 0.4921 data: 0.0015
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 345/350] [1668/1669] eta: 0:00:00 tlr: 5.3e-06 tnm: 0.66 Lm: 6.564 (6.548) Lt: 5.835 (5.802) Accm: 3.30 (3.30) Acct: 5.15 (5.17) proj_loss: -0.5953 (-0.5999) time: 0.4921 data: 0.0019
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 345/350] Total time: 0:14:12 (0.511 s / it)
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 345/350] Total time: 0:14:12 (0.511 s / it)
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 345/350] Total time: 0:14:12 (0.511 s / it)
[11-26 08:59:54] (/home/user/VAR/train.py , line 276)=> [ep345] (training ) Lm: 6.497 (6.505), Lt: 5.746 (5.765), Acc m&t: 3.44 5.41, Remain: 0:55:30, Finish: 2024-11-25 17:55
[11-26 08:59:54] (/home/user/VAR/train.py , line 276)=> [ep345] (training ) Lm: 6.497 (6.505), Lt: 5.746 (5.765), Acc m&t: 3.44 5.41, Remain: 0:55:30, Finish: 2024-11-25 17:55
[11-26 08:59:54] (/home/user/VAR/train.py , line 276)=> [ep345] (training ) Lm: 6.497 (6.505), Lt: 5.746 (5.765), Acc m&t: 3.44 5.41, Remain: 0:55:30, Finish: 2024-11-25 17:55
[11-26 08:59:54] (/home/user/VAR/train.py , line 276)=> [ep345] (training ) Lm: 6.497 (6.505), Lt: 5.746 (5.765), Acc m&t: 3.44 5.41, Remain: 0:55:31, Finish: 2024-11-25 17:55
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 0/1669] eta: 0:13:27 tlr: 5.3e-06 tnm: 0.65 Lm: 6.594 (6.594) Lt: 5.784 (5.784) Accm: 3.36 (3.36) Acct: 5.39 (5.39) proj_loss: -0.5985 (-0.5985) time: 0.4840 data: 0.0004
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 0/1669] eta: 0:13:19 tlr: 5.3e-06 tnm: 0.65 Lm: 6.557 (6.557) Lt: 5.779 (5.779) Accm: 3.17 (3.17) Acct: 5.01 (5.01) proj_loss: -0.5918 (-0.5918) time: 0.4789 data: 0.0004
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 0/1669] eta: 0:13:19 tlr: 5.3e-06 tnm: 0.65 Lm: 6.331 (6.331) Lt: 5.559 (5.559) Accm: 3.61 (3.61) Acct: 5.94 (5.94) proj_loss: -0.6139 (-0.6139) time: 0.4791 data: 0.0004
[11-26 08:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 0/1669] eta: 0:13:21 tlr: 5.3e-06 tnm: 0.65 Lm: 6.415 (6.415) Lt: 5.707 (5.707) Accm: 3.34 (3.34) Acct: 5.18 (5.18) proj_loss: -0.6216 (-0.6216) time: 0.4801 data: 0.0004
[11-26 09:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 417/1669] eta: 0:10:46 tlr: 5.1e-06 tnm: 0.65 Lm: 6.474 (6.474) Lt: 5.773 (5.773) Accm: 3.25 (3.25) Acct: 4.99 (4.99) proj_loss: -0.6102 (-0.6102) time: 0.5397 data: 0.0003
[11-26 09:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 417/1669] eta: 0:10:46 tlr: 5.1e-06 tnm: 0.65 Lm: 6.575 (6.575) Lt: 5.801 (5.801) Accm: 3.18 (3.18) Acct: 5.04 (5.04) proj_loss: -0.5963 (-0.5963) time: 0.5397 data: 0.0003
[11-26 09:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 417/1669] eta: 0:10:46 tlr: 5.1e-06 tnm: 0.65 Lm: 6.552 (6.552) Lt: 5.829 (5.829) Accm: 3.06 (3.06) Acct: 4.93 (4.93) proj_loss: -0.6072 (-0.6072) time: 0.5397 data: 0.0003
[11-26 09:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 417/1669] eta: 0:10:46 tlr: 5.1e-06 tnm: 0.65 Lm: 6.611 (6.611) Lt: 5.805 (5.805) Accm: 3.25 (3.25) Acct: 5.26 (5.26) proj_loss: -0.6134 (-0.6134) time: 0.5397 data: 0.0003
[11-26 09:07:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 834/1669] eta: 0:07:11 tlr: 5e-06 tnm: 0.64 Lm: 6.594 (6.550) Lt: 5.784 (5.761) Accm: 3.36 (3.39) Acct: 5.39 (5.35) proj_loss: -0.6284 (-0.6184) time: 0.4926 data: 0.0003
[11-26 09:07:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 834/1669] eta: 0:07:11 tlr: 5e-06 tnm: 0.64 Lm: 6.423 (6.509) Lt: 5.670 (5.776) Accm: 3.61 (3.26) Acct: 5.48 (5.11) proj_loss: -0.6005 (-0.6042) time: 0.4926 data: 0.0003
[11-26 09:07:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 834/1669] eta: 0:07:11 tlr: 5e-06 tnm: 0.64 Lm: 6.415 (6.430) Lt: 5.707 (5.689) Accm: 3.34 (3.35) Acct: 5.18 (5.34) proj_loss: -0.5989 (-0.6063) time: 0.4926 data: 0.0003
[11-26 09:07:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [ 834/1669] eta: 0:07:11 tlr: 5e-06 tnm: 0.64 Lm: 6.593 (6.602) Lt: 5.822 (5.846) Accm: 3.19 (3.24) Acct: 5.03 (5.04) proj_loss: -0.5918 (-0.5939) time: 0.4926 data: 0.0003
[11-26 09:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1251/1669] eta: 0:03:34 tlr: 4.8e-06 tnm: 0.64 Lm: 6.575 (6.535) Lt: 5.801 (5.771) Accm: 3.27 (3.45) Acct: 5.05 (5.40) proj_loss: -0.5963 (-0.6004) time: 0.4913 data: 0.0003
[11-26 09:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1251/1669] eta: 0:03:34 tlr: 4.8e-06 tnm: 0.64 Lm: 6.511 (6.517) Lt: 5.729 (5.731) Accm: 3.52 (3.49) Acct: 5.47 (5.51) proj_loss: -0.6150 (-0.6143) time: 0.4913 data: 0.0003
[11-26 09:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1251/1669] eta: 0:03:34 tlr: 4.8e-06 tnm: 0.64 Lm: 6.474 (6.459) Lt: 5.739 (5.710) Accm: 3.42 (3.39) Acct: 5.31 (5.36) proj_loss: -0.5986 (-0.6015) time: 0.4913 data: 0.0003
[11-26 09:10:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1251/1669] eta: 0:03:34 tlr: 4.8e-06 tnm: 0.64 Lm: 6.550 (6.551) Lt: 5.827 (5.828) Accm: 3.26 (3.17) Acct: 4.78 (4.86) proj_loss: -0.6010 (-0.6035) time: 0.4913 data: 0.0003
[11-26 09:14:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-06 tnm: 0.65 Lm: 6.504 (6.542) Lt: 5.754 (5.813) Accm: 3.45 (3.23) Acct: 5.27 (4.94) proj_loss: -0.6014 (-0.6062) time: 0.4931 data: 0.0022
[11-26 09:14:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 346/350] Total time: 0:14:16 (0.513 s / it)
[11-26 09:14:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-06 tnm: 0.65 Lm: 6.415 (6.432) Lt: 5.707 (5.674) Accm: 3.51 (3.53) Acct: 5.44 (5.51) proj_loss: -0.5989 (-0.6035) time: 0.4931 data: 0.0019
[11-26 09:14:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-06 tnm: 0.65 Lm: 6.557 (6.510) Lt: 5.779 (5.757) Accm: 3.36 (3.45) Acct: 5.08 (5.40) proj_loss: -0.6008 (-0.6026) time: 0.4931 data: 0.0013
[11-26 09:14:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 346/350] [1668/1669] eta: 0:00:00 tlr: 4.6e-06 tnm: 0.65 Lm: 6.486 (6.511) Lt: 5.723 (5.730) Accm: 3.37 (3.47) Acct: 5.54 (5.52) proj_loss: -0.6028 (-0.6120) time: 0.4931 data: 0.0019
[11-26 09:14:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 346/350] Total time: 0:14:16 (0.513 s / it)
[11-26 09:14:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 346/350] Total time: 0:14:16 (0.513 s / it)
[11-26 09:14:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 346/350] Total time: 0:14:16 (0.513 s / it)
[11-26 09:14:10] (/home/user/VAR/train.py , line 276)=> [ep346] (training ) Lm: 6.497 (6.500), Lt: 5.746 (5.756), Acc m&t: 3.44 5.41, Remain: 0:41:37, Finish: 2024-11-25 17:55
[11-26 09:14:10] (/home/user/VAR/train.py , line 276)=> [ep346] (training ) Lm: 6.497 (6.500), Lt: 5.746 (5.756), Acc m&t: 3.44 5.41, Remain: 0:41:37, Finish: 2024-11-25 17:55
[11-26 09:14:10] (/home/user/VAR/train.py , line 276)=> [ep346] (training ) Lm: 6.497 (6.500), Lt: 5.746 (5.756), Acc m&t: 3.44 5.41, Remain: 0:41:37, Finish: 2024-11-25 17:55
[11-26 09:14:10] (/home/user/VAR/train.py , line 276)=> [ep346] (training ) Lm: 6.497 (6.500), Lt: 5.746 (5.756), Acc m&t: 3.44 5.41, Remain: 0:41:37, Finish: 2024-11-25 17:55
[11-26 09:14:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 0/1669] eta: 0:12:50 tlr: 4.6e-06 tnm: 0.65 Lm: 6.270 (6.270) Lt: 5.492 (5.492) Accm: 4.17 (4.17) Acct: 6.34 (6.34) proj_loss: -0.5989 (-0.5989) time: 0.4616 data: 0.0003
[11-26 09:14:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 0/1669] eta: 0:12:50 tlr: 4.6e-06 tnm: 0.65 Lm: 6.289 (6.289) Lt: 5.541 (5.541) Accm: 4.00 (4.00) Acct: 5.73 (5.73) proj_loss: -0.6045 (-0.6045) time: 0.4619 data: 0.0004
[11-26 09:14:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 0/1669] eta: 0:12:43 tlr: 4.6e-06 tnm: 0.65 Lm: 6.266 (6.266) Lt: 5.513 (5.513) Accm: 3.96 (3.96) Acct: 6.23 (6.23) proj_loss: -0.6140 (-0.6140) time: 0.4577 data: 0.0004
[11-26 09:14:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 0/1669] eta: 0:12:51 tlr: 4.6e-06 tnm: 0.65 Lm: 6.682 (6.682) Lt: 6.014 (6.014) Accm: 2.72 (2.72) Acct: 4.27 (4.27) proj_loss: -0.6220 (-0.6220) time: 0.4620 data: 0.0004
[11-26 09:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 417/1669] eta: 0:10:19 tlr: 4.4e-06 tnm: 0.65 Lm: 6.675 (6.675) Lt: 6.011 (6.011) Accm: 2.80 (2.80) Acct: 4.43 (4.43) proj_loss: -0.6151 (-0.6151) time: 0.4926 data: 0.0003
[11-26 09:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 417/1669] eta: 0:10:19 tlr: 4.4e-06 tnm: 0.65 Lm: 6.353 (6.353) Lt: 5.612 (5.612) Accm: 3.83 (3.83) Acct: 5.95 (5.95) proj_loss: -0.6154 (-0.6154) time: 0.4926 data: 0.0003
[11-26 09:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 417/1669] eta: 0:10:19 tlr: 4.4e-06 tnm: 0.65 Lm: 6.330 (6.330) Lt: 5.553 (5.553) Accm: 3.92 (3.92) Acct: 5.99 (5.99) proj_loss: -0.5939 (-0.5939) time: 0.4926 data: 0.0003
[11-26 09:17:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 417/1669] eta: 0:10:19 tlr: 4.4e-06 tnm: 0.65 Lm: 6.418 (6.418) Lt: 5.645 (5.645) Accm: 3.65 (3.65) Acct: 5.46 (5.46) proj_loss: -0.6019 (-0.6019) time: 0.4926 data: 0.0003
[11-26 09:21:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 834/1669] eta: 0:06:58 tlr: 4.2e-06 tnm: 0.66 Lm: 6.548 (6.485) Lt: 5.749 (5.724) Accm: 3.31 (3.41) Acct: 5.18 (5.15) proj_loss: -0.5992 (-0.6004) time: 0.4892 data: 0.0003
[11-26 09:21:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 834/1669] eta: 0:06:58 tlr: 4.2e-06 tnm: 0.66 Lm: 6.669 (6.551) Lt: 6.007 (5.862) Accm: 2.88 (3.13) Acct: 4.60 (4.89) proj_loss: -0.6186 (-0.6162) time: 0.4892 data: 0.0003
[11-26 09:21:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 834/1669] eta: 0:06:58 tlr: 4.2e-06 tnm: 0.66 Lm: 6.355 (6.338) Lt: 5.524 (5.543) Accm: 4.17 (4.01) Acct: 6.34 (6.28) proj_loss: -0.5989 (-0.5963) time: 0.4893 data: 0.0003
[11-26 09:21:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [ 834/1669] eta: 0:06:58 tlr: 4.2e-06 tnm: 0.66 Lm: 6.440 (6.448) Lt: 5.711 (5.687) Accm: 3.71 (3.54) Acct: 5.66 (5.46) proj_loss: -0.6140 (-0.6028) time: 0.4892 data: 0.0003
[11-26 09:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1251/1669] eta: 0:03:31 tlr: 4e-06 tnm: 0.65 Lm: 6.483 (6.467) Lt: 5.758 (5.716) Accm: 3.42 (3.43) Acct: 5.26 (5.31) proj_loss: -0.6123 (-0.6048) time: 0.4877 data: 0.0003
[11-26 09:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1251/1669] eta: 0:03:31 tlr: 4e-06 tnm: 0.65 Lm: 6.372 (6.383) Lt: 5.569 (5.592) Accm: 3.92 (3.88) Acct: 5.99 (6.08) proj_loss: -0.5992 (-0.5971) time: 0.4877 data: 0.0003
[11-26 09:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1251/1669] eta: 0:03:31 tlr: 4e-06 tnm: 0.65 Lm: 6.557 (6.505) Lt: 5.791 (5.752) Accm: 3.23 (3.35) Acct: 5.13 (5.13) proj_loss: -0.6019 (-0.6016) time: 0.4877 data: 0.0003
[11-26 09:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1251/1669] eta: 0:03:31 tlr: 4e-06 tnm: 0.65 Lm: 6.527 (6.510) Lt: 5.811 (5.800) Accm: 3.33 (3.37) Acct: 5.20 (5.31) proj_loss: -0.6134 (-0.6094) time: 0.4877 data: 0.0003
[11-26 09:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-06 tnm: 0.64 Lm: 6.433 (6.494) Lt: 5.762 (5.793) Accm: 3.78 (3.48) Acct: 5.80 (5.46) proj_loss: -0.6081 (-0.6079) time: 0.4952 data: 0.0016
[11-26 09:28:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 347/350] Total time: 0:14:03 (0.506 s / it)
[11-26 09:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-06 tnm: 0.64 Lm: 6.548 (6.494) Lt: 5.749 (5.729) Accm: 3.31 (3.42) Acct: 5.18 (5.25) proj_loss: -0.5992 (-0.5962) time: 0.4952 data: 0.0018
[11-26 09:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-06 tnm: 0.64 Lm: 6.390 (6.398) Lt: 5.614 (5.623) Accm: 3.66 (3.77) Acct: 5.65 (5.93) proj_loss: -0.5995 (-0.6002) time: 0.4952 data: 0.0020
[11-26 09:28:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 347/350] [1668/1669] eta: 0:00:00 tlr: 3.9e-06 tnm: 0.64 Lm: 6.515 (6.477) Lt: 5.763 (5.726) Accm: 3.57 (3.46) Acct: 5.65 (5.38) proj_loss: -0.6140 (-0.6075) time: 0.4953 data: 0.0021
[11-26 09:28:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 347/350] Total time: 0:14:03 (0.506 s / it)
[11-26 09:28:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 347/350] Total time: 0:14:03 (0.506 s / it)
[11-26 09:28:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 347/350] Total time: 0:14:03 (0.506 s / it)
[11-26 09:28:14] (/home/user/VAR/train.py , line 276)=> [ep347] (training ) Lm: 6.495 (6.495), Lt: 5.745 (5.745), Acc m&t: 3.44 5.41, Remain: 0:27:51, Finish: 2024-11-25 17:56
[11-26 09:28:14] (/home/user/VAR/train.py , line 276)=> [ep347] (training ) Lm: 6.495 (6.495), Lt: 5.745 (5.745), Acc m&t: 3.44 5.41, Remain: 0:27:50, Finish: 2024-11-25 17:56
[11-26 09:28:14] (/home/user/VAR/train.py , line 276)=> [ep347] (training ) Lm: 6.495 (6.495), Lt: 5.745 (5.745), Acc m&t: 3.44 5.41, Remain: 0:27:50, Finish: 2024-11-25 17:56
[11-26 09:28:14] (/home/user/VAR/train.py , line 276)=> [ep347] (training ) Lm: 6.495 (6.495), Lt: 5.745 (5.745), Acc m&t: 3.44 5.41, Remain: 0:27:50, Finish: 2024-11-25 17:56
[11-26 09:28:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 0/1669] eta: 0:13:15 tlr: 3.9e-06 tnm: 0.64 Lm: 6.394 (6.394) Lt: 5.634 (5.634) Accm: 4.21 (4.21) Acct: 6.44 (6.44) proj_loss: -0.6207 (-0.6207) time: 0.4765 data: 0.0003
[11-26 09:28:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 0/1669] eta: 0:13:15 tlr: 3.9e-06 tnm: 0.64 Lm: 6.487 (6.487) Lt: 5.648 (5.648) Accm: 3.79 (3.79) Acct: 6.22 (6.22) proj_loss: -0.5941 (-0.5941) time: 0.4765 data: 0.0004
[11-26 09:28:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 0/1669] eta: 0:13:06 tlr: 3.9e-06 tnm: 0.64 Lm: 6.605 (6.605) Lt: 5.833 (5.833) Accm: 3.21 (3.21) Acct: 4.87 (4.87) proj_loss: -0.6003 (-0.6003) time: 0.4711 data: 0.0003
[11-26 09:28:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 0/1669] eta: 0:12:37 tlr: 3.9e-06 tnm: 0.64 Lm: 6.350 (6.350) Lt: 5.611 (5.611) Accm: 3.68 (3.68) Acct: 5.79 (5.79) proj_loss: -0.6161 (-0.6161) time: 0.4537 data: 0.0004
[11-26 09:31:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 417/1669] eta: 0:11:10 tlr: 3.7e-06 tnm: 0.65 Lm: 6.449 (6.449) Lt: 5.666 (5.666) Accm: 3.52 (3.52) Acct: 5.54 (5.54) proj_loss: -0.5926 (-0.5926) time: 0.5370 data: 0.0003
[11-26 09:31:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 417/1669] eta: 0:11:10 tlr: 3.7e-06 tnm: 0.65 Lm: 6.502 (6.502) Lt: 5.696 (5.696) Accm: 3.57 (3.57) Acct: 5.79 (5.79) proj_loss: -0.6155 (-0.6155) time: 0.5370 data: 0.0003
[11-26 09:31:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 417/1669] eta: 0:11:10 tlr: 3.7e-06 tnm: 0.65 Lm: 6.570 (6.570) Lt: 5.831 (5.831) Accm: 3.18 (3.18) Acct: 4.93 (4.93) proj_loss: -0.6056 (-0.6056) time: 0.5370 data: 0.0003
[11-26 09:31:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 417/1669] eta: 0:11:10 tlr: 3.7e-06 tnm: 0.65 Lm: 6.400 (6.400) Lt: 5.664 (5.664) Accm: 3.83 (3.83) Acct: 5.95 (5.95) proj_loss: -0.6121 (-0.6121) time: 0.5370 data: 0.0003
[11-26 09:35:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 834/1669] eta: 0:07:11 tlr: 3.5e-06 tnm: 0.64 Lm: 6.406 (6.448) Lt: 5.694 (5.711) Accm: 3.45 (3.70) Acct: 5.46 (5.73) proj_loss: -0.6091 (-0.6111) time: 0.5432 data: 0.0003
[11-26 09:35:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 834/1669] eta: 0:07:11 tlr: 3.5e-06 tnm: 0.64 Lm: 6.406 (6.435) Lt: 5.611 (5.643) Accm: 3.54 (3.53) Acct: 5.66 (5.58) proj_loss: -0.5956 (-0.5936) time: 0.5432 data: 0.0003
[11-26 09:35:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 834/1669] eta: 0:07:11 tlr: 3.5e-06 tnm: 0.64 Lm: 6.536 (6.557) Lt: 5.830 (5.795) Accm: 3.21 (3.22) Acct: 4.99 (5.22) proj_loss: -0.6003 (-0.5984) time: 0.5432 data: 0.0003
[11-26 09:35:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [ 834/1669] eta: 0:07:11 tlr: 3.5e-06 tnm: 0.64 Lm: 6.515 (6.506) Lt: 5.743 (5.721) Accm: 3.63 (3.59) Acct: 5.63 (5.73) proj_loss: -0.5956 (-0.6089) time: 0.5432 data: 0.0003
[11-26 09:38:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1251/1669] eta: 0:03:33 tlr: 3.3e-06 tnm: 0.65 Lm: 6.505 (6.503) Lt: 5.757 (5.740) Accm: 3.50 (3.54) Acct: 5.60 (5.69) proj_loss: -0.5971 (-0.6063) time: 0.4892 data: 0.0003
[11-26 09:38:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1251/1669] eta: 0:03:33 tlr: 3.3e-06 tnm: 0.65 Lm: 6.460 (6.455) Lt: 5.666 (5.684) Accm: 3.50 (3.51) Acct: 5.51 (5.52) proj_loss: -0.6027 (-0.5977) time: 0.4892 data: 0.0003
[11-26 09:38:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1251/1669] eta: 0:03:33 tlr: 3.3e-06 tnm: 0.65 Lm: 6.533 (6.523) Lt: 5.776 (5.776) Accm: 3.26 (3.29) Acct: 5.19 (5.26) proj_loss: -0.6056 (-0.6036) time: 0.4892 data: 0.0003
[11-26 09:38:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1251/1669] eta: 0:03:33 tlr: 3.3e-06 tnm: 0.65 Lm: 6.421 (6.446) Lt: 5.692 (5.706) Accm: 3.47 (3.65) Acct: 5.52 (5.69) proj_loss: -0.6110 (-0.6116) time: 0.4892 data: 0.0003
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-06 tnm: 0.65 Lm: 6.437 (6.482) Lt: 5.694 (5.740) Accm: 3.45 (3.56) Acct: 5.46 (5.59) proj_loss: -0.6091 (-0.6079) time: 0.4914 data: 0.0019
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-06 tnm: 0.65 Lm: 6.495 (6.465) Lt: 5.743 (5.701) Accm: 3.63 (3.66) Acct: 5.63 (5.91) proj_loss: -0.5956 (-0.6032) time: 0.4914 data: 0.0017
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-06 tnm: 0.65 Lm: 6.536 (6.562) Lt: 5.830 (5.818) Accm: 3.21 (3.22) Acct: 4.99 (5.11) proj_loss: -0.6083 (-0.6045) time: 0.4914 data: 0.0019
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 348/350] Total time: 0:14:12 (0.511 s / it)
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 348/350] [1668/1669] eta: 0:00:00 tlr: 3.1e-06 tnm: 0.65 Lm: 6.469 (6.457) Lt: 5.722 (5.692) Accm: 3.54 (3.55) Acct: 5.66 (5.61) proj_loss: -0.6098 (-0.6001) time: 0.4914 data: 0.0021
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 348/350] Total time: 0:14:12 (0.511 s / it)
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 348/350] Total time: 0:14:12 (0.511 s / it)
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 348/350] Total time: 0:14:12 (0.511 s / it)
[11-26 09:42:27] (/home/user/VAR/train.py , line 276)=> [ep348] (training ) Lm: 6.495 (6.502), Lt: 5.745 (5.759), Acc m&t: 3.44 5.41, Remain: 0:13:54, Finish: 2024-11-25 17:56
[11-26 09:42:27] (/home/user/VAR/train.py , line 276)=> [ep348] (training ) Lm: 6.495 (6.502), Lt: 5.745 (5.759), Acc m&t: 3.44 5.41, Remain: 0:13:54, Finish: 2024-11-25 17:56
[11-26 09:42:27] (/home/user/VAR/train.py , line 276)=> [ep348] (training ) Lm: 6.495 (6.502), Lt: 5.745 (5.759), Acc m&t: 3.44 5.41, Remain: 0:13:54, Finish: 2024-11-25 17:56
[11-26 09:42:27] (/home/user/VAR/train.py , line 276)=> [ep348] (training ) Lm: 6.495 (6.502), Lt: 5.745 (5.759), Acc m&t: 3.44 5.41, Remain: 0:13:54, Finish: 2024-11-25 17:56
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 0/1669] eta: 0:12:47 tlr: 3.1e-06 tnm: 0.65 Lm: 6.493 (6.493) Lt: 5.805 (5.805) Accm: 3.38 (3.38) Acct: 5.42 (5.42) proj_loss: -0.6367 (-0.6367) time: 0.4598 data: 0.0004
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 0/1669] eta: 0:12:46 tlr: 3.1e-06 tnm: 0.65 Lm: 6.340 (6.340) Lt: 5.603 (5.603) Accm: 4.14 (4.14) Acct: 6.42 (6.42) proj_loss: -0.6224 (-0.6224) time: 0.4595 data: 0.0003
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 0/1669] eta: 0:12:47 tlr: 3.1e-06 tnm: 0.65 Lm: 6.460 (6.460) Lt: 5.743 (5.743) Accm: 3.55 (3.55) Acct: 5.65 (5.65) proj_loss: -0.6140 (-0.6140) time: 0.4596 data: 0.0004
[11-26 09:42:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 0/1669] eta: 0:12:47 tlr: 3.1e-06 tnm: 0.65 Lm: 6.631 (6.631) Lt: 5.902 (5.902) Accm: 3.09 (3.09) Acct: 4.82 (4.82) proj_loss: -0.5963 (-0.5963) time: 0.4597 data: 0.0004
[11-26 09:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 417/1669] eta: 0:10:46 tlr: 2.9e-06 tnm: 0.65 Lm: 6.621 (6.621) Lt: 5.905 (5.905) Accm: 2.93 (2.93) Acct: 4.55 (4.55) proj_loss: -0.6002 (-0.6002) time: 0.5454 data: 0.0003
[11-26 09:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 417/1669] eta: 0:10:46 tlr: 2.9e-06 tnm: 0.65 Lm: 6.381 (6.381) Lt: 5.642 (5.642) Accm: 3.88 (3.88) Acct: 6.09 (6.09) proj_loss: -0.6150 (-0.6150) time: 0.5454 data: 0.0003
[11-26 09:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 417/1669] eta: 0:10:46 tlr: 2.9e-06 tnm: 0.65 Lm: 6.486 (6.486) Lt: 5.774 (5.774) Accm: 3.50 (3.50) Acct: 5.42 (5.42) proj_loss: -0.6088 (-0.6088) time: 0.5453 data: 0.0003
[11-26 09:46:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 417/1669] eta: 0:10:46 tlr: 2.9e-06 tnm: 0.65 Lm: 6.405 (6.405) Lt: 5.700 (5.700) Accm: 3.77 (3.77) Acct: 5.87 (5.87) proj_loss: -0.6267 (-0.6267) time: 0.5454 data: 0.0003
[11-26 09:49:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 834/1669] eta: 0:07:11 tlr: 2.8e-06 tnm: 0.64 Lm: 6.390 (6.400) Lt: 5.622 (5.674) Accm: 3.76 (3.76) Acct: 5.60 (5.78) proj_loss: -0.6168 (-0.6107) time: 0.4934 data: 0.0003
[11-26 09:49:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 834/1669] eta: 0:07:11 tlr: 2.8e-06 tnm: 0.64 Lm: 6.612 (6.522) Lt: 5.902 (5.806) Accm: 3.09 (3.39) Acct: 4.82 (5.13) proj_loss: -0.6040 (-0.6094) time: 0.4934 data: 0.0003
[11-26 09:49:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 834/1669] eta: 0:07:11 tlr: 2.8e-06 tnm: 0.64 Lm: 6.422 (6.439) Lt: 5.681 (5.703) Accm: 3.61 (3.67) Acct: 5.75 (5.82) proj_loss: -0.6077 (-0.6120) time: 0.4934 data: 0.0003
[11-26 09:49:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [ 834/1669] eta: 0:07:11 tlr: 2.8e-06 tnm: 0.64 Lm: 6.513 (6.507) Lt: 5.743 (5.763) Accm: 3.44 (3.34) Acct: 5.20 (5.19) proj_loss: -0.6035 (-0.6063) time: 0.4934 data: 0.0003
[11-26 09:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1251/1669] eta: 0:03:35 tlr: 2.6e-06 tnm: 0.65 Lm: 6.521 (6.513) Lt: 5.774 (5.778) Accm: 3.40 (3.35) Acct: 5.14 (5.16) proj_loss: -0.6088 (-0.6108) time: 0.5415 data: 0.0003
[11-26 09:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1251/1669] eta: 0:03:35 tlr: 2.6e-06 tnm: 0.65 Lm: 6.381 (6.410) Lt: 5.642 (5.667) Accm: 3.82 (3.76) Acct: 6.00 (5.93) proj_loss: -0.6094 (-0.6118) time: 0.5415 data: 0.0003
[11-26 09:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1251/1669] eta: 0:03:35 tlr: 2.6e-06 tnm: 0.65 Lm: 6.442 (6.492) Lt: 5.714 (5.769) Accm: 3.57 (3.51) Acct: 5.51 (5.36) proj_loss: -0.6067 (-0.6072) time: 0.5415 data: 0.0003
[11-26 09:53:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1251/1669] eta: 0:03:35 tlr: 2.6e-06 tnm: 0.65 Lm: 6.553 (6.515) Lt: 5.851 (5.805) Accm: 3.15 (3.35) Acct: 4.71 (4.99) proj_loss: -0.6094 (-0.6107) time: 0.5415 data: 0.0003
[11-26 09:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-06 tnm: 0.64 Lm: 6.605 (6.533) Lt: 5.880 (5.820) Accm: 3.09 (3.25) Acct: 4.60 (4.88) proj_loss: -0.6040 (-0.6054) time: 0.4908 data: 0.0016
[11-26 09:56:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 349/350] Total time: 0:14:13 (0.511 s / it)
[11-26 09:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-06 tnm: 0.64 Lm: 6.422 (6.413) Lt: 5.640 (5.662) Accm: 3.80 (3.77) Acct: 6.03 (5.95) proj_loss: -0.6077 (-0.6093) time: 0.4908 data: 0.0013
[11-26 09:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-06 tnm: 0.64 Lm: 6.513 (6.496) Lt: 5.743 (5.763) Accm: 3.44 (3.43) Acct: 5.20 (5.22) proj_loss: -0.6035 (-0.6060) time: 0.4908 data: 0.0016
[11-26 09:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 349/350] [1668/1669] eta: 0:00:00 tlr: 2.4e-06 tnm: 0.64 Lm: 6.493 (6.504) Lt: 5.740 (5.763) Accm: 3.38 (3.46) Acct: 5.42 (5.32) proj_loss: -0.6035 (-0.6065) time: 0.4908 data: 0.0016
[11-26 09:56:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 349/350] Total time: 0:14:13 (0.511 s / it)
[11-26 09:56:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 349/350] Total time: 0:14:13 (0.511 s / it)
[11-26 09:56:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 349/350] Total time: 0:14:13 (0.511 s / it)
[11-26 09:59:02] (home/user/VAR/trainer.py, line 114)=> FID: 2.9752647656387694
[11-26 09:59:03] (/home/user/VAR/train.py , line 259)=> [*] [ep349] (val 50000) Lm: 6.4940, Lt: 5.7474, Acc m&t: 3.47 5.43, Val cost: 142.09s
[11-26 09:59:03] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
[11-26 09:59:27] (/home/user/VAR/train.py , line 276)=> [ep349] (training ) Lm: 6.494 (6.494), Lt: 5.745 (5.747), Acc m&t: 3.47 5.43, Remain: 0:00:07, Finish: 2024-11-25 17:56
[11-26 09:59:27] (/home/user/VAR/train.py , line 276)=> [ep349] (training ) Lm: 6.494 (6.494), Lt: 5.745 (5.747), Acc m&t: 3.47 5.43, Remain: 0:00:07, Finish: 2024-11-25 17:56
[11-26 09:59:27] (/home/user/VAR/train.py , line 276)=> [ep349] (training ) Lm: 6.494 (6.494), Lt: 5.745 (5.747), Acc m&t: 3.47 5.43, Remain: 0:00:07, Finish: 2024-11-25 17:56
[11-26 09:59:27] (/home/user/VAR/train.py , line 276)=> [ep349] (training ) Lm: 6.494 (6.494), Lt: 5.745 (5.747), Acc m&t: 3.47 5.43, Remain: 0:00:07, Finish: 2024-11-25 17:56
[11-26 09:59:27] (/home/user/VAR/train.py , line 282)=>
[11-26 09:59:27] (/home/user/VAR/train.py , line 283)=> [*] [PT finished] Total cost: 57.6h, Lm: 6.494 (6.494014704227448), Lt: 5.745 (5.747378730773926)
[11-26 09:59:27] (/home/user/VAR/train.py , line 284)=>
[11-26 09:59:39] (/home/user/VAR/train.py , line 291)=> final args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : 3.466501033399254
acc_tail : 5.425383163383231
L_mean : 6.494014704227448
L_tail : 5.747378730773926
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : 0.6446770310401917
cur_lr : 2.4000000000000003e-06
cur_wd : 0.05
cur_it : 1669/1669
cur_ep : 350/350
remain_time : -
finish_time : 2024-11-25 17:58
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
branch : main
}
[11-26 09:59:27] (/home/user/VAR/train.py , line 282)=>
[11-26 09:59:27] (/home/user/VAR/train.py , line 283)=> [*] [PT finished] Total cost: 57.6h, Lm: 6.494 (6.494014704227448), Lt: 5.745 (5.747378730773926)
[11-26 09:59:27] (/home/user/VAR/train.py , line 284)=>
[11-26 09:59:38] (/home/user/VAR/train.py , line 291)=> final args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : 3.466501033399254
acc_tail : 5.425383163383231
L_mean : 6.494014704227448
L_tail : 5.747378730773926
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : 0.6446770310401917
cur_lr : 2.4000000000000003e-06
cur_wd : 0.05
cur_it : 1669/1669
cur_ep : 350/350
remain_time : -
finish_time : 2024-11-25 17:58
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
commit_msg : add
branch : main
}
[11-26 09:59:27] (/home/user/VAR/train.py , line 282)=>
[11-26 09:59:27] (/home/user/VAR/train.py , line 283)=> [*] [PT finished] Total cost: 57.6h, Lm: 6.494 (6.494014704227448), Lt: 5.745 (5.747378730773926)
[11-26 09:59:27] (/home/user/VAR/train.py , line 284)=>
[11-26 09:59:38] (/home/user/VAR/train.py , line 291)=> final args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : 3.466501033399254
acc_tail : 5.425383163383231
L_mean : 6.494014704227448
L_tail : 5.747378730773926
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : 0.6446770310401917
cur_lr : 2.4000000000000003e-06
cur_wd : 0.05
cur_it : 1669/1669
cur_ep : 350/350
remain_time : -
finish_time : 2024-11-25 17:58
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
branch : main
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
}
[11-26 09:59:27] (/home/user/VAR/train.py , line 282)=>
[11-26 09:59:27] (/home/user/VAR/train.py , line 283)=> [*] [PT finished] Total cost: 57.6h, Lm: 6.494 (6.494014704227448), Lt: 5.745 (5.747378730773926)
[11-26 09:59:27] (/home/user/VAR/train.py , line 284)=>
[11-26 09:59:38] (/home/user/VAR/train.py , line 291)=> final args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth 6 --proj_coef 0.2 --query False
acc_mean : 3.466501033399254
acc_tail : 5.425383163383231
L_mean : 6.494014704227448
L_tail : 5.747378730773926
vacc_mean : 3.4204025268554688
vacc_tail : 5.498876094818115
vL_mean : 6.5304765701293945
vL_tail : 5.718798637390137
grad_norm : 0.6446770310401917
cur_lr : 2.4000000000000003e-06
cur_wd : 0.05
cur_it : 1669/1669
cur_ep : 350/350
remain_time : -
finish_time : 2024-11-25 17:58
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20/ar-ckpt-last.pth
tf32 : True
seed : None
codebook_size : 16384
codebook_embed_dim : 14
codebook_l2_norm : True
codebook_show_usage : True
commit_loss_beta : 0.25
entropy_loss_ratio : 0.0
soft_entropy : True
scale : 1.0
test_model : True
encoder_ch_mult : [1, 1, 2, 2, 4]
decoder_ch_mult : [1, 1, 2, 2, 4]
z_channels : 256
dropout_p : 0.0
clip_norm : True
v_patch_nums : [1, 1, 2, 3, 3, 4, 5, 6, 8, 11]
enc_type : dinov2
dec_type : dinov2
semantic_guide : dinov2
num_latent_tokens : 121
encoder_model : vit_base_patch14_dinov2.lvd142m
decoder_model : vit_base_patch14_dinov2.lvd142m
abs_pos_embed : True
share_quant_resi : 4
product_quant : 2
half_sem : True
p_drop : 0.0
joint_sample : False
infer_ckpt :
masking_method : uniform
st_ep : 50
ed_ep : 150
p_rand : 0.0
encoder_depth : 6
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
branch : main
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
commit_msg : add
}