[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-25 08:51:46] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-25 08:51:46] (/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-fix-entropy/best_ckpt.pt
vfast : 2
tfast : 2
depth : 16
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=16 --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-fix-entropy-var-d16-fix-entropy --vae_ckpt /sensei-fs/users/xiangl/output/exp141-fix-entropy/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-fix-entropy-var-d16-fix-entropy
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/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
}
[11-25 08:51:46] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f5ff8e5f370>
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f5ff8e5f370>
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-25 08:51:48] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt*.pth
[11-25 08:51:48] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-25 08:51:48] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-25 08:51:46] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-25 08:51:46] (/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-fix-entropy/best_ckpt.pt
vfast : 2
tfast : 2
depth : 16
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=16 --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-fix-entropy-var-d16-fix-entropy --vae_ckpt /sensei-fs/users/xiangl/output/exp141-fix-entropy/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-fix-entropy-var-d16-fix-entropy
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/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
}
[11-25 08:51:46] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f2685ba3370>
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f2685ba3370>
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-25 08:51:48] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt*.pth
[11-25 08:51:48] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-25 08:51:48] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-25 08:51:46] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-25 08:51:46] (/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-fix-entropy/best_ckpt.pt
vfast : 2
tfast : 2
depth : 16
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=16 --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-fix-entropy-var-d16-fix-entropy --vae_ckpt /sensei-fs/users/xiangl/output/exp141-fix-entropy/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-fix-entropy-var-d16-fix-entropy
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/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
branch : main
commit_msg : add
}
[11-25 08:51:46] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f4d9130f370>
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f4d9130f370>
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-25 08:51:48] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt*.pth
[11-25 08:51:48] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-25 08:51:48] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-25 08:51:44] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-25 08:51:46] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-25 08:51:46] (/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-fix-entropy/best_ckpt.pt
vfast : 2
tfast : 2
depth : 16
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=16 --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-fix-entropy-var-d16-fix-entropy --vae_ckpt /sensei-fs/users/xiangl/output/exp141-fix-entropy/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-fix-entropy-var-d16-fix-entropy
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/tb-VARd16__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/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
}
[11-25 08:51:46] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f8228c2b370>
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f8228c2b370>
[11-25 08:51:48] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-25 08:51:48] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt*.pth
[11-25 08:51:48] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-25 08:51:48] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ... [dataloader multi processing](*) finished! (47.03s)
[dataloader multi processing](*) finished! (48.76s)
[dataloader multi processing](*) finished! (48.98s)
[dataloader multi processing](*) finished! (50.20s)
[11-25 08:52:35] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-25 08:52:38] (/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])
[11-25 08:52:38] (/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])
[11-25 08:52:40] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/16), fused_if_available=True (fusing_add_ln=0/16, fusing_mlp=0/16) ====
[VAR config ] embed_dim=1024, num_heads=16, depth=16, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0666667 (tensor([0.0000, 0.0044, 0.0089, 0.0133, 0.0178, 0.0222, 0.0267, 0.0311, 0.0356,
0.0400, 0.0444, 0.0489, 0.0533, 0.0578, 0.0622, 0.0667]))
[11-25 08:52:37] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-25 08:52:42] (/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])
[11-25 08:52:42] (/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])
[11-25 08:52:43] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/16), fused_if_available=True (fusing_add_ln=0/16, fusing_mlp=0/16) ====
[VAR config ] embed_dim=1024, num_heads=16, depth=16, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0666667 (tensor([0.0000, 0.0044, 0.0089, 0.0133, 0.0178, 0.0222, 0.0267, 0.0311, 0.0356,
0.0400, 0.0444, 0.0489, 0.0533, 0.0578, 0.0622, 0.0667]))
[11-25 08:52:37] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-25 08:52:42] (/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])
[11-25 08:52:42] (/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])
[11-25 08:52:44] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/16), fused_if_available=True (fusing_add_ln=0/16, fusing_mlp=0/16) ====
[VAR config ] embed_dim=1024, num_heads=16, depth=16, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0666667 (tensor([0.0000, 0.0044, 0.0089, 0.0133, 0.0178, 0.0222, 0.0267, 0.0311, 0.0356,
0.0400, 0.0444, 0.0489, 0.0533, 0.0578, 0.0622, 0.0667]))
[11-25 08:52:39] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-25 08:52:43] (/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])
[11-25 08:52:43] (/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])
[11-25 08:52:45] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/16), fused_if_available=True (fusing_add_ln=0/16, fusing_mlp=0/16) ====
[VAR config ] embed_dim=1024, num_heads=16, depth=16, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0666667 (tensor([0.0000, 0.0044, 0.0089, 0.0133, 0.0178, 0.0222, 0.0267, 0.0311, 0.0356,
0.0400, 0.0444, 0.0489, 0.0533, 0.0578, 0.0622, 0.0667]))
[11-25 08:52:40] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0180422
[11-25 08:53:07] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0666667
(word_embed): Linear(in_features=28, out_features=1024, bias=False)
(class_emb): Embedding(1001, 1024)
(lvl_embed): Embedding(10, 1024)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1024, out_features=3072, bias=False)
(proj): Linear(in_features=1024, out_features=1024, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=6144, bias=True)
)
)
(1-15): 15 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1024, out_features=3072, bias=False)
(proj): Linear(in_features=1024, out_features=1024, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=6144, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=2048, bias=True)
)
)
(head): Linear(in_features=1024, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1024, 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)
)
)
)
)
[11-25 08:53:07] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-25 08:53:07] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=347.13
[11-25 08:53:07] (/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.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.head_nm.ada_lin.1.bias, _orig_mod.head.bias, '\n"
" '_orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, _orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-25 08:53:07] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank0] type(model).__name__='OptimizedModule' count=207, numel=347132928
[11-25 08:52:45] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0180422
[11-25 08:53:07] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0666667
(word_embed): Linear(in_features=28, out_features=1024, bias=False)
(class_emb): Embedding(1001, 1024)
(lvl_embed): Embedding(10, 1024)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1024, out_features=3072, bias=False)
(proj): Linear(in_features=1024, out_features=1024, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=6144, bias=True)
)
)
(1-15): 15 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1024, out_features=3072, bias=False)
(proj): Linear(in_features=1024, out_features=1024, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=6144, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=2048, bias=True)
)
)
(head): Linear(in_features=1024, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1024, 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)
)
)
)
)
[11-25 08:53:07] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-25 08:53:07] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=347.13
[11-25 08:53:07] (/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.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.head_nm.ada_lin.1.bias, _orig_mod.head.bias, '\n"
" '_orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, _orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-25 08:53:07] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank8] type(model).__name__='OptimizedModule' count=207, numel=347132928
[11-25 08:52:44] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0180422
[11-25 08:53:07] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0666667
(word_embed): Linear(in_features=28, out_features=1024, bias=False)
(class_emb): Embedding(1001, 1024)
(lvl_embed): Embedding(10, 1024)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1024, out_features=3072, bias=False)
(proj): Linear(in_features=1024, out_features=1024, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=6144, bias=True)
)
)
(1-15): 15 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1024, out_features=3072, bias=False)
(proj): Linear(in_features=1024, out_features=1024, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=6144, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=2048, bias=True)
)
)
(head): Linear(in_features=1024, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1024, 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)
)
)
)
)
[11-25 08:53:07] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-25 08:53:07] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=347.13
[11-25 08:53:07] (/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.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.head_nm.ada_lin.1.bias, _orig_mod.head.bias, '\n"
" '_orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, _orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-25 08:53:07] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank16] type(model).__name__='OptimizedModule' count=207, numel=347132928
[11-25 08:52:44] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0180422
[11-25 08:53:07] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0666667
(word_embed): Linear(in_features=28, out_features=1024, bias=False)
(class_emb): Embedding(1001, 1024)
(lvl_embed): Embedding(10, 1024)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1024, out_features=3072, bias=False)
(proj): Linear(in_features=1024, out_features=1024, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=6144, bias=True)
)
)
(1-15): 15 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1024, out_features=3072, bias=False)
(proj): Linear(in_features=1024, out_features=1024, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=6144, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1024,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1024, out_features=2048, bias=True)
)
)
(head): Linear(in_features=1024, out_features=32768, bias=True)
(projectors): ModuleList(
(0): Sequential(
(0): Linear(in_features=1024, 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)
)
)
)
)
[11-25 08:53:07] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-25 08:53:07] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=347.13
[11-25 08:53:07] (/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.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.head_nm.ada_lin.1.bias, _orig_mod.head.bias, '\n"
" '_orig_mod.projectors.0.0.bias, _orig_mod.projectors.0.2.bias, _orig_mod.projectors.0.4.bias')",
'wd_sc': 0.0}}
[11-25 08:53:08] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank24] type(model).__name__='OptimizedModule' count=207, numel=347132928
[11-25 08:53:08] (/VAR/utils/lr_control.py, line 105)=>
[11-25 08:53:08] (/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}
[11-25 08:56:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 4 days, 0:42:39 tlr: 1.2e-06 tnm: 0.18 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: 0.0011 (0.0011) time: 208.6036 data: 0.0005
[11-25 08:53:08] (/VAR/utils/lr_control.py, line 105)=>
[11-25 08:53:08] (/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}
[11-25 08:56:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 4 days, 1:04:14 tlr: 1.2e-06 tnm: 0.18 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0003 (0.0003) time: 209.3796 data: 0.0006
[11-25 08:53:08] (/VAR/utils/lr_control.py, line 105)=>
[11-25 08:53:08] (/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}
[11-25 08:56:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 4 days, 1:04:16 tlr: 1.2e-06 tnm: 0.18 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0011 (0.0011) time: 209.3809 data: 0.0006
[11-25 08:53:08] (/VAR/utils/lr_control.py, line 105)=>
[11-25 08:53:08] (/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}
[11-25 08:56:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 4 days, 1:04:29 tlr: 1.2e-06 tnm: 0.18 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: 209.3886 data: 0.0005
[11-25 09:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:22:17 tlr: 9.7e-06 tnm: 0.05 Lm: 9.700 (9.700) Lt: 9.699 (9.699) Accm: 0.01 (0.01) Acct: 0.00 (0.00) proj_loss: -0.1253 (-0.1253) time: 0.3571 data: 0.0003
[11-25 09:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:22:17 tlr: 9.7e-06 tnm: 0.05 Lm: 9.700 (9.700) Lt: 9.699 (9.699) Accm: 0.00 (0.00) Acct: 0.01 (0.01) proj_loss: -0.1218 (-0.1218) time: 0.3571 data: 0.0003
[11-25 09:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:22:17 tlr: 9.7e-06 tnm: 0.05 Lm: 9.701 (9.701) Lt: 9.701 (9.701) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: -0.1237 (-0.1237) time: 0.3571 data: 0.0003
[11-25 09:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:22:14 tlr: 9.7e-06 tnm: 0.05 Lm: 9.700 (9.700) Lt: 9.699 (9.699) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: -0.1191 (-0.1191) time: 0.3571 data: 0.0002
[11-25 09:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:09:54 tlr: 1.8e-05 tnm: 0.07 Lm: 9.696 (9.692) Lt: 9.695 (9.689) Accm: 0.01 (0.01) Acct: 0.02 (0.01) proj_loss: -0.2393 (-0.1857) time: 0.3591 data: 0.0002
[11-25 09:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:09:55 tlr: 1.8e-05 tnm: 0.07 Lm: 9.696 (9.692) Lt: 9.694 (9.689) Accm: 0.01 (0.01) Acct: 0.00 (0.00) proj_loss: -0.2504 (-0.1923) time: 0.3591 data: 0.0002
[11-25 09:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:09:55 tlr: 1.8e-05 tnm: 0.07 Lm: 9.698 (9.692) Lt: 9.697 (9.689) Accm: 0.00 (0.00) Acct: 0.00 (0.01) proj_loss: -0.2477 (-0.1871) time: 0.3591 data: 0.0003
[11-25 09:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:09:55 tlr: 1.8e-05 tnm: 0.07 Lm: 9.697 (9.690) Lt: 9.694 (9.687) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: -0.2447 (-0.1866) time: 0.3591 data: 0.0003
[11-25 09:05:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:04:08 tlr: 2.7e-05 tnm: 0.22 Lm: 9.683 (9.674) Lt: 9.679 (9.673) Accm: 0.01 (0.01) Acct: 0.01 (0.02) proj_loss: -0.2758 (-0.2166) time: 0.3563 data: 0.0002
[11-25 09:05:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:04:08 tlr: 2.7e-05 tnm: 0.22 Lm: 9.686 (9.675) Lt: 9.682 (9.675) Accm: 0.01 (0.01) Acct: 0.00 (0.00) proj_loss: -0.2813 (-0.2222) time: 0.3563 data: 0.0002
[11-25 09:05:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:04:08 tlr: 2.7e-05 tnm: 0.22 Lm: 9.686 (9.675) Lt: 9.682 (9.675) Accm: 0.01 (0.01) Acct: 0.01 (0.01) proj_loss: -0.2791 (-0.2200) time: 0.3563 data: 0.0003
[11-25 09:05:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:04:08 tlr: 2.7e-05 tnm: 0.22 Lm: 9.687 (9.676) Lt: 9.682 (9.674) Accm: 0.00 (0.01) Acct: 0.00 (0.01) proj_loss: -0.2801 (-0.2185) time: 0.3562 data: 0.0002
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.73 Lm: 9.675 (9.655) Lt: 9.667 (9.655) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: -0.3125 (-0.2411) time: 0.3638 data: 0.0016
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:14:54 (0.536 s / it)
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.73 Lm: 9.676 (9.653) Lt: 9.670 (9.655) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: -0.3121 (-0.2423) time: 0.3638 data: 0.0016
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.73 Lm: 9.670 (9.653) Lt: 9.664 (9.655) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: -0.3069 (-0.2406) time: 0.3638 data: 0.0015
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.73 Lm: 9.675 (9.655) Lt: 9.670 (9.657) Accm: 0.01 (0.02) Acct: 0.02 (0.01) proj_loss: -0.3188 (-0.2417) time: 0.3638 data: 0.0018
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:14:54 (0.536 s / it)
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:14:54 (0.536 s / it)
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:14:53 (0.535 s / it)
[11-25 09:08:02] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.653 (9.653), Lt: 9.656 (9.656), Acc m&t: 0.02 0.01, Remain: 2 days, 10:55:01, Finish: 2024-11-27 04:03
[11-25 09:08:02] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.653 (9.653), Lt: 9.656 (9.656), Acc m&t: 0.02 0.01, Remain: 2 days, 10:54:42, Finish: 2024-11-27 04:02
[11-25 09:08:02] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.653 (9.653), Lt: 9.656 (9.656), Acc m&t: 0.02 0.01, Remain: 2 days, 10:51:44, Finish: 2024-11-27 03:59
[11-25 09:08:02] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.653 (9.653), Lt: 9.656 (9.656), Acc m&t: 0.02 0.01, Remain: 2 days, 10:55:01, Finish: 2024-11-27 04:03
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:09:37 tlr: 3.5e-05 tnm: 0.66 Lm: 9.568 (9.568) Lt: 9.584 (9.584) Accm: 0.05 (0.05) Acct: 0.05 (0.05) proj_loss: -0.3256 (-0.3256) time: 0.3461 data: 0.0004
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:09:21 tlr: 3.5e-05 tnm: 0.66 Lm: 9.568 (9.568) Lt: 9.578 (9.578) Accm: 0.03 (0.03) Acct: 0.00 (0.00) proj_loss: -0.3205 (-0.3205) time: 0.3364 data: 0.0004
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:09:38 tlr: 3.5e-05 tnm: 0.66 Lm: 9.558 (9.558) Lt: 9.573 (9.573) Accm: 0.04 (0.04) Acct: 0.05 (0.05) proj_loss: -0.3303 (-0.3303) time: 0.3465 data: 0.0003
[11-25 09:08:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:09:38 tlr: 3.5e-05 tnm: 0.66 Lm: 9.575 (9.575) Lt: 9.587 (9.587) Accm: 0.02 (0.02) Acct: 0.02 (0.02) proj_loss: -0.3243 (-0.3243) time: 0.3466 data: 0.0004
[11-25 09:10:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:27 tlr: 4.4e-05 tnm: 0.97 Lm: 9.519 (9.519) Lt: 9.539 (9.539) Accm: 0.04 (0.04) Acct: 0.02 (0.02) proj_loss: -0.3279 (-0.3279) time: 0.3563 data: 0.0003
[11-25 09:10:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:27 tlr: 4.4e-05 tnm: 0.97 Lm: 9.514 (9.514) Lt: 9.535 (9.535) Accm: 0.07 (0.07) Acct: 0.03 (0.03) proj_loss: -0.3232 (-0.3232) time: 0.3563 data: 0.0002
[11-25 09:10:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:27 tlr: 4.4e-05 tnm: 0.97 Lm: 9.513 (9.513) Lt: 9.532 (9.532) Accm: 0.06 (0.06) Acct: 0.05 (0.05) proj_loss: -0.3262 (-0.3262) time: 0.3563 data: 0.0003
[11-25 09:10:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:27 tlr: 4.4e-05 tnm: 0.97 Lm: 9.512 (9.512) Lt: 9.531 (9.531) Accm: 0.04 (0.04) Acct: 0.04 (0.04) proj_loss: -0.3261 (-0.3261) time: 0.3563 data: 0.0002
[11-25 09:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:04:59 tlr: 5.2e-05 tnm: 3.09 Lm: 9.465 (9.410) Lt: 9.489 (9.424) Accm: 0.04 (0.04) Acct: 0.05 (0.06) proj_loss: -0.3219 (-0.3235) time: 0.3591 data: 0.0003
[11-25 09:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:04:59 tlr: 5.2e-05 tnm: 3.09 Lm: 9.461 (9.406) Lt: 9.486 (9.420) Accm: 0.09 (0.09) Acct: 0.05 (0.09) proj_loss: -0.3256 (-0.3264) time: 0.3591 data: 0.0002
[11-25 09:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:04:59 tlr: 5.2e-05 tnm: 3.09 Lm: 9.459 (9.410) Lt: 9.486 (9.420) Accm: 0.07 (0.06) Acct: 0.10 (0.07) proj_loss: -0.3315 (-0.3279) time: 0.3591 data: 0.0003
[11-25 09:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:04:59 tlr: 5.2e-05 tnm: 3.09 Lm: 9.464 (9.410) Lt: 9.492 (9.422) Accm: 0.05 (0.06) Acct: 0.02 (0.05) proj_loss: -0.3270 (-0.3276) time: 0.3591 data: 0.0003
[11-25 09:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:29 tlr: 6.1e-05 tnm: 3.08 Lm: 9.331 (9.238) Lt: 9.341 (9.216) Accm: 0.08 (0.11) Acct: 0.10 (0.12) proj_loss: -0.3313 (-0.3287) time: 0.3581 data: 0.0002
[11-25 09:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:29 tlr: 6.1e-05 tnm: 3.08 Lm: 9.336 (9.245) Lt: 9.350 (9.223) Accm: 0.05 (0.09) Acct: 0.07 (0.12) proj_loss: -0.3232 (-0.3237) time: 0.3581 data: 0.0003
[11-25 09:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:29 tlr: 6.1e-05 tnm: 3.08 Lm: 9.325 (9.239) Lt: 9.338 (9.219) Accm: 0.11 (0.14) Acct: 0.13 (0.17) proj_loss: -0.3292 (-0.3291) time: 0.3581 data: 0.0003
[11-25 09:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:29 tlr: 6.1e-05 tnm: 3.08 Lm: 9.328 (9.245) Lt: 9.340 (9.226) Accm: 0.08 (0.12) Acct: 0.07 (0.13) proj_loss: -0.3284 (-0.3282) time: 0.3581 data: 0.0002
[11-25 09:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 2.58 Lm: 9.192 (9.094) Lt: 9.188 (9.030) Accm: 0.10 (0.19) Acct: 0.12 (0.23) proj_loss: -0.3299 (-0.3291) time: 0.3630 data: 0.0019
[11-25 09:17:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 2.58 Lm: 9.189 (9.084) Lt: 9.189 (9.020) Accm: 0.12 (0.19) Acct: 0.21 (0.22) proj_loss: -0.3256 (-0.3281) time: 0.3630 data: 0.0018
[11-25 09:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 2.58 Lm: 9.207 (9.097) Lt: 9.211 (9.034) Accm: 0.06 (0.15) Acct: 0.09 (0.19) proj_loss: -0.3244 (-0.3246) time: 0.3630 data: 0.0018
[11-25 09:17:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 2.58 Lm: 9.203 (9.092) Lt: 9.197 (9.025) Accm: 0.09 (0.16) Acct: 0.10 (0.20) proj_loss: -0.3311 (-0.3284) time: 0.3630 data: 0.0019
[11-25 09:17:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:17:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:17:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:17:59] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 9.092 (9.092), Lt: 9.025 (9.025), Acc m&t: 0.17 0.22, Remain: 2 days, 10:26:59, Finish: 2024-11-27 03:44
[11-25 09:17:59] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 9.092 (9.092), Lt: 9.025 (9.025), Acc m&t: 0.17 0.22, Remain: 2 days, 10:25:43, Finish: 2024-11-27 03:43
[11-25 09:17:59] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 9.092 (9.092), Lt: 9.025 (9.025), Acc m&t: 0.17 0.22, Remain: 2 days, 10:24:02, Finish: 2024-11-27 03:42
[11-25 09:17:59] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 9.092 (9.092), Lt: 9.025 (9.025), Acc m&t: 0.17 0.22, Remain: 2 days, 10:26:34, Finish: 2024-11-27 03:44
[11-25 09:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:09:48 tlr: 6.9e-05 tnm: 2.37 Lm: 8.465 (8.465) Lt: 8.217 (8.217) Accm: 0.39 (0.39) Acct: 0.48 (0.48) proj_loss: -0.3249 (-0.3249) time: 0.3525 data: 0.0003
[11-25 09:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:10:14 tlr: 6.9e-05 tnm: 2.37 Lm: 8.495 (8.495) Lt: 8.247 (8.247) Accm: 0.31 (0.31) Acct: 0.43 (0.43) proj_loss: -0.3220 (-0.3220) time: 0.3679 data: 0.0003
[11-25 09:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:09:48 tlr: 6.9e-05 tnm: 2.37 Lm: 8.477 (8.477) Lt: 8.208 (8.208) Accm: 0.41 (0.41) Acct: 0.57 (0.57) proj_loss: -0.3139 (-0.3139) time: 0.3527 data: 0.0003
[11-25 09:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:09:48 tlr: 6.9e-05 tnm: 2.37 Lm: 8.530 (8.530) Lt: 8.290 (8.290) Accm: 0.44 (0.44) Acct: 0.64 (0.64) proj_loss: -0.3277 (-0.3277) time: 0.3528 data: 0.0004
[11-25 09:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:27 tlr: 7.8e-05 tnm: 2.17 Lm: 8.450 (8.450) Lt: 8.197 (8.197) Accm: 0.42 (0.42) Acct: 0.60 (0.60) proj_loss: -0.3318 (-0.3318) time: 0.3591 data: 0.0003
[11-25 09:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:27 tlr: 7.8e-05 tnm: 2.17 Lm: 8.410 (8.410) Lt: 8.127 (8.127) Accm: 0.44 (0.44) Acct: 0.59 (0.59) proj_loss: -0.3256 (-0.3256) time: 0.3591 data: 0.0003
[11-25 09:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:27 tlr: 7.8e-05 tnm: 2.17 Lm: 8.409 (8.409) Lt: 8.136 (8.136) Accm: 0.48 (0.48) Acct: 0.64 (0.64) proj_loss: -0.3241 (-0.3241) time: 0.3591 data: 0.0002
[11-25 09:20:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:27 tlr: 7.8e-05 tnm: 2.17 Lm: 8.419 (8.419) Lt: 8.138 (8.138) Accm: 0.53 (0.53) Acct: 0.77 (0.77) proj_loss: -0.3248 (-0.3248) time: 0.3591 data: 0.0002
[11-25 09:23:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:03 tlr: 8.6e-05 tnm: 2.02 Lm: 8.360 (8.390) Lt: 8.068 (8.105) Accm: 0.54 (0.53) Acct: 0.76 (0.76) proj_loss: -0.3313 (-0.3270) time: 0.3604 data: 0.0002
[11-25 09:23:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:03 tlr: 8.6e-05 tnm: 2.02 Lm: 8.325 (8.362) Lt: 8.008 (8.063) Accm: 0.58 (0.51) Acct: 0.76 (0.71) proj_loss: -0.3292 (-0.3278) time: 0.3604 data: 0.0003
[11-25 09:23:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:03 tlr: 8.6e-05 tnm: 2.02 Lm: 8.353 (8.370) Lt: 8.055 (8.082) Accm: 0.57 (0.52) Acct: 0.79 (0.71) proj_loss: -0.3249 (-0.3272) time: 0.3604 data: 0.0002
[11-25 09:23:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:03 tlr: 8.6e-05 tnm: 2.02 Lm: 8.370 (8.398) Lt: 8.104 (8.123) Accm: 0.44 (0.44) Acct: 0.64 (0.68) proj_loss: -0.3277 (-0.3278) time: 0.3604 data: 0.0003
[11-25 09:25:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:31 tlr: 9.5e-05 tnm: 1.60 Lm: 8.332 (8.363) Lt: 8.040 (8.077) Accm: 0.46 (0.46) Acct: 0.73 (0.75) proj_loss: -0.3318 (-0.3300) time: 0.3579 data: 0.0002
[11-25 09:25:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:31 tlr: 9.5e-05 tnm: 1.60 Lm: 8.295 (8.332) Lt: 7.978 (8.034) Accm: 0.60 (0.54) Acct: 0.77 (0.73) proj_loss: -0.3307 (-0.3300) time: 0.3579 data: 0.0002
[11-25 09:25:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:31 tlr: 9.5e-05 tnm: 1.60 Lm: 8.322 (8.332) Lt: 8.014 (8.036) Accm: 0.58 (0.54) Acct: 0.83 (0.78) proj_loss: -0.3266 (-0.3275) time: 0.3579 data: 0.0002
[11-25 09:25:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:31 tlr: 9.5e-05 tnm: 1.60 Lm: 8.346 (8.349) Lt: 8.053 (8.055) Accm: 0.59 (0.56) Acct: 0.86 (0.84) proj_loss: -0.3292 (-0.3270) time: 0.3579 data: 0.0002
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.33 Lm: 8.332 (8.317) Lt: 8.038 (8.020) Accm: 0.54 (0.56) Acct: 0.76 (0.80) proj_loss: -0.3313 (-0.3309) time: 0.3597 data: 0.0015
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:02 (0.361 s / it)
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.33 Lm: 8.265 (8.307) Lt: 7.949 (8.008) Accm: 0.62 (0.58) Acct: 0.79 (0.79) proj_loss: -0.3322 (-0.3327) time: 0.3596 data: 0.0016
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.33 Lm: 8.294 (8.327) Lt: 7.975 (8.035) Accm: 0.49 (0.48) Acct: 0.79 (0.76) proj_loss: -0.3345 (-0.3309) time: 0.3596 data: 0.0017
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.33 Lm: 8.291 (8.309) Lt: 7.973 (8.012) Accm: 0.58 (0.55) Acct: 0.86 (0.81) proj_loss: -0.3282 (-0.3291) time: 0.3596 data: 0.0016
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:02 (0.361 s / it)
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:02 (0.361 s / it)
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:02 (0.361 s / it)
[11-25 09:28:02] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.310 (8.310), Lt: 8.015 (8.015), Acc m&t: 0.53 0.74, Remain: 2 days, 10:09:47, Finish: 2024-11-27 03:37
[11-25 09:28:02] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.310 (8.310), Lt: 8.015 (8.015), Acc m&t: 0.53 0.74, Remain: 2 days, 10:12:29, Finish: 2024-11-27 03:40
[11-25 09:28:02] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.310 (8.310), Lt: 8.015 (8.015), Acc m&t: 0.53 0.74, Remain: 2 days, 10:13:11, Finish: 2024-11-27 03:41
[11-25 09:28:02] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.310 (8.310), Lt: 8.015 (8.015), Acc m&t: 0.53 0.74, Remain: 2 days, 10:12:16, Finish: 2024-11-27 03:40
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:09:47 tlr: 0.0001 tnm: 1.23 Lm: 8.184 (8.184) Lt: 7.873 (7.873) Accm: 0.59 (0.59) Acct: 0.72 (0.72) proj_loss: -0.3431 (-0.3431) time: 0.3522 data: 0.0003
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:09:46 tlr: 0.0001 tnm: 1.23 Lm: 8.236 (8.236) Lt: 7.941 (7.941) Accm: 0.55 (0.55) Acct: 0.76 (0.76) proj_loss: -0.3455 (-0.3455) time: 0.3513 data: 0.0004
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:09:45 tlr: 0.0001 tnm: 1.23 Lm: 8.208 (8.208) Lt: 7.912 (7.912) Accm: 0.55 (0.55) Acct: 0.83 (0.83) proj_loss: -0.3435 (-0.3435) time: 0.3507 data: 0.0003
[11-25 09:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:09:49 tlr: 0.0001 tnm: 1.23 Lm: 8.159 (8.159) Lt: 7.871 (7.871) Accm: 0.63 (0.63) Acct: 0.96 (0.96) proj_loss: -0.3451 (-0.3451) time: 0.3532 data: 0.0003
[11-25 09:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:29 tlr: 0.00011 tnm: 1.37 Lm: 8.141 (8.141) Lt: 7.813 (7.813) Accm: 0.65 (0.65) Acct: 0.94 (0.94) proj_loss: -0.3399 (-0.3399) time: 0.3597 data: 0.0002
[11-25 09:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:29 tlr: 0.00011 tnm: 1.37 Lm: 8.184 (8.184) Lt: 7.868 (7.868) Accm: 0.61 (0.61) Acct: 0.84 (0.84) proj_loss: -0.3410 (-0.3410) time: 0.3597 data: 0.0003
[11-25 09:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:29 tlr: 0.00011 tnm: 1.37 Lm: 8.182 (8.182) Lt: 7.875 (7.875) Accm: 0.59 (0.59) Acct: 0.80 (0.80) proj_loss: -0.3435 (-0.3435) time: 0.3597 data: 0.0002
[11-25 09:30:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:29 tlr: 0.00011 tnm: 1.37 Lm: 8.161 (8.161) Lt: 7.837 (7.837) Accm: 0.59 (0.59) Acct: 0.85 (0.85) proj_loss: -0.3497 (-0.3497) time: 0.3597 data: 0.0002
[11-25 09:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:04:59 tlr: 0.00012 tnm: 1.10 Lm: 8.155 (8.158) Lt: 7.839 (7.863) Accm: 0.63 (0.62) Acct: 0.83 (0.84) proj_loss: -0.3435 (-0.3460) time: 0.3597 data: 0.0003
[11-25 09:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:04:59 tlr: 0.00012 tnm: 1.10 Lm: 8.133 (8.166) Lt: 7.794 (7.840) Accm: 0.58 (0.60) Acct: 0.81 (0.83) proj_loss: -0.3407 (-0.3409) time: 0.3597 data: 0.0003
[11-25 09:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:04:59 tlr: 0.00012 tnm: 1.10 Lm: 8.141 (8.141) Lt: 7.842 (7.823) Accm: 0.67 (0.66) Acct: 0.96 (0.97) proj_loss: -0.3388 (-0.3395) time: 0.3597 data: 0.0002
[11-25 09:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:04:59 tlr: 0.00012 tnm: 1.10 Lm: 8.138 (8.150) Lt: 7.802 (7.826) Accm: 0.59 (0.58) Acct: 0.74 (0.81) proj_loss: -0.3460 (-0.3485) time: 0.3597 data: 0.0003
[11-25 09:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:29 tlr: 0.00013 tnm: 1.23 Lm: 8.132 (8.142) Lt: 7.804 (7.821) Accm: 0.59 (0.59) Acct: 0.73 (0.79) proj_loss: -0.3459 (-0.3478) time: 0.3572 data: 0.0003
[11-25 09:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:29 tlr: 0.00013 tnm: 1.23 Lm: 8.130 (8.149) Lt: 7.801 (7.832) Accm: 0.61 (0.61) Acct: 0.78 (0.81) proj_loss: -0.3431 (-0.3441) time: 0.3572 data: 0.0002
[11-25 09:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:29 tlr: 0.00013 tnm: 1.23 Lm: 8.145 (8.153) Lt: 7.838 (7.853) Accm: 0.63 (0.62) Acct: 0.84 (0.84) proj_loss: -0.3435 (-0.3449) time: 0.3572 data: 0.0002
[11-25 09:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:29 tlr: 0.00013 tnm: 1.23 Lm: 8.132 (8.134) Lt: 7.814 (7.813) Accm: 0.65 (0.63) Acct: 0.94 (0.93) proj_loss: -0.3411 (-0.3405) time: 0.3572 data: 0.0002
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.91 Lm: 8.124 (8.126) Lt: 7.785 (7.799) Accm: 0.67 (0.64) Acct: 0.91 (0.93) proj_loss: -0.3434 (-0.3425) time: 0.3588 data: 0.0017
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.91 Lm: 8.128 (8.134) Lt: 7.794 (7.823) Accm: 0.58 (0.59) Acct: 0.76 (0.76) proj_loss: -0.3455 (-0.3478) time: 0.3588 data: 0.0015
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.91 Lm: 8.136 (8.131) Lt: 7.837 (7.821) Accm: 0.63 (0.65) Acct: 0.84 (0.90) proj_loss: -0.3435 (-0.3468) time: 0.3588 data: 0.0015
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.91 Lm: 8.127 (8.127) Lt: 7.802 (7.802) Accm: 0.60 (0.60) Acct: 0.74 (0.80) proj_loss: -0.3460 (-0.3474) time: 0.3588 data: 0.0014
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:38:00] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.139 (8.139), Lt: 7.819 (7.819), Acc m&t: 0.63 0.88, Remain: 2 days, 9:56:08, Finish: 2024-11-27 03:34
[11-25 09:38:00] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.139 (8.139), Lt: 7.819 (7.819), Acc m&t: 0.63 0.88, Remain: 2 days, 9:54:04, Finish: 2024-11-27 03:32
[11-25 09:38:00] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.139 (8.139), Lt: 7.819 (7.819), Acc m&t: 0.63 0.88, Remain: 2 days, 9:56:58, Finish: 2024-11-27 03:34
[11-25 09:38:00] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.139 (8.139), Lt: 7.819 (7.819), Acc m&t: 0.63 0.88, Remain: 2 days, 9:55:27, Finish: 2024-11-27 03:33
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:09:36 tlr: 0.00014 tnm: 1.03 Lm: 7.967 (7.967) Lt: 7.598 (7.598) Accm: 0.82 (0.82) Acct: 1.22 (1.22) proj_loss: -0.3462 (-0.3462) time: 0.3456 data: 0.0003
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:10:05 tlr: 0.00014 tnm: 1.03 Lm: 8.082 (8.082) Lt: 7.770 (7.770) Accm: 0.55 (0.55) Acct: 0.72 (0.72) proj_loss: -0.3604 (-0.3604) time: 0.3629 data: 0.0003
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:09:37 tlr: 0.00014 tnm: 1.03 Lm: 8.020 (8.020) Lt: 7.686 (7.686) Accm: 0.71 (0.71) Acct: 1.00 (1.00) proj_loss: -0.3490 (-0.3490) time: 0.3459 data: 0.0003
[11-25 09:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:09:37 tlr: 0.00014 tnm: 1.03 Lm: 8.086 (8.086) Lt: 7.739 (7.739) Accm: 0.63 (0.63) Acct: 0.95 (0.95) proj_loss: -0.3509 (-0.3509) time: 0.3460 data: 0.0003
[11-25 09:40:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:26 tlr: 0.00015 tnm: 0.98 Lm: 8.055 (8.055) Lt: 7.715 (7.715) Accm: 0.68 (0.68) Acct: 1.00 (1.00) proj_loss: -0.3634 (-0.3634) time: 0.3595 data: 0.0002
[11-25 09:40:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:26 tlr: 0.00015 tnm: 0.98 Lm: 8.011 (8.011) Lt: 7.651 (7.651) Accm: 0.79 (0.79) Acct: 1.13 (1.13) proj_loss: -0.3446 (-0.3446) time: 0.3595 data: 0.0002
[11-25 09:40:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:26 tlr: 0.00015 tnm: 0.98 Lm: 8.081 (8.081) Lt: 7.761 (7.761) Accm: 0.64 (0.64) Acct: 0.83 (0.83) proj_loss: -0.3593 (-0.3593) time: 0.3595 data: 0.0003
[11-25 09:40:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:26 tlr: 0.00015 tnm: 0.98 Lm: 8.041 (8.041) Lt: 7.709 (7.709) Accm: 0.66 (0.66) Acct: 0.89 (0.89) proj_loss: -0.3558 (-0.3558) time: 0.3596 data: 0.0002
[11-25 09:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:04:58 tlr: 0.00015 tnm: 0.93 Lm: 8.029 (8.037) Lt: 7.732 (7.717) Accm: 0.62 (0.64) Acct: 0.77 (0.85) proj_loss: -0.3616 (-0.3577) time: 0.3567 data: 0.0002
[11-25 09:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:04:58 tlr: 0.00015 tnm: 0.93 Lm: 7.967 (7.992) Lt: 7.636 (7.646) Accm: 0.82 (0.84) Acct: 1.22 (1.21) proj_loss: -0.3462 (-0.3471) time: 0.3567 data: 0.0002
[11-25 09:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:04:58 tlr: 0.00015 tnm: 0.93 Lm: 8.079 (8.068) Lt: 7.752 (7.742) Accm: 0.68 (0.65) Acct: 0.93 (0.92) proj_loss: -0.3582 (-0.3577) time: 0.3567 data: 0.0002
[11-25 09:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:04:58 tlr: 0.00015 tnm: 0.93 Lm: 8.078 (8.063) Lt: 7.727 (7.719) Accm: 0.71 (0.69) Acct: 1.05 (1.04) proj_loss: -0.3611 (-0.3627) time: 0.3567 data: 0.0002
[11-25 09:45:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:29 tlr: 0.00016 tnm: 0.85 Lm: 8.051 (8.045) Lt: 7.709 (7.702) Accm: 0.72 (0.72) Acct: 1.00 (1.01) proj_loss: -0.3607 (-0.3621) time: 0.3575 data: 0.0002
[11-25 09:45:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:29 tlr: 0.00016 tnm: 0.85 Lm: 8.010 (8.007) Lt: 7.670 (7.662) Accm: 0.82 (0.84) Acct: 1.16 (1.18) proj_loss: -0.3492 (-0.3494) time: 0.3575 data: 0.0002
[11-25 09:45:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:29 tlr: 0.00016 tnm: 0.85 Lm: 8.061 (8.057) Lt: 7.728 (7.729) Accm: 0.71 (0.68) Acct: 1.02 (0.96) proj_loss: -0.3570 (-0.3572) time: 0.3575 data: 0.0002
[11-25 09:45:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:29 tlr: 0.00016 tnm: 0.85 Lm: 8.025 (8.018) Lt: 7.709 (7.686) Accm: 0.66 (0.67) Acct: 0.83 (0.86) proj_loss: -0.3592 (-0.3575) time: 0.3575 data: 0.0003
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.86 Lm: 8.020 (8.017) Lt: 7.687 (7.686) Accm: 0.70 (0.67) Acct: 0.88 (0.90) proj_loss: -0.3573 (-0.3575) time: 0.3614 data: 0.0017
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:01 (0.360 s / it)
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.86 Lm: 7.974 (8.000) Lt: 7.636 (7.657) Accm: 0.82 (0.80) Acct: 1.10 (1.11) proj_loss: -0.3521 (-0.3539) time: 0.3614 data: 0.0015
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.86 Lm: 8.042 (8.035) Lt: 7.703 (7.706) Accm: 0.74 (0.71) Acct: 1.10 (1.03) proj_loss: -0.3582 (-0.3587) time: 0.3614 data: 0.0017
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.86 Lm: 8.025 (8.030) Lt: 7.692 (7.693) Accm: 0.72 (0.75) Acct: 1.05 (1.02) proj_loss: -0.3603 (-0.3613) time: 0.3614 data: 0.0020
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:01 (0.360 s / it)
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:01 (0.360 s / it)
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:01 (0.360 s / it)
[11-25 09:48:01] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 8.029 (8.029), Lt: 7.696 (7.696), Acc m&t: 0.72 1.01, Remain: 2 days, 9:55:39, Finish: 2024-11-27 03:43
[11-25 09:48:01] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 8.029 (8.029), Lt: 7.696 (7.696), Acc m&t: 0.72 1.01, Remain: 2 days, 9:54:46, Finish: 2024-11-27 03:42
[11-25 09:48:01] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 8.029 (8.029), Lt: 7.696 (7.696), Acc m&t: 0.72 1.01, Remain: 2 days, 9:53:42, Finish: 2024-11-27 03:41
[11-25 09:48:01] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 8.029 (8.029), Lt: 7.696 (7.696), Acc m&t: 0.72 1.01, Remain: 2 days, 9:54:00, Finish: 2024-11-27 03:42
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:09:30 tlr: 0.00017 tnm: 0.91 Lm: 7.944 (7.944) Lt: 7.628 (7.628) Accm: 0.74 (0.74) Acct: 1.02 (1.02) proj_loss: -0.3652 (-0.3652) time: 0.3416 data: 0.0003
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:09:31 tlr: 0.00017 tnm: 0.91 Lm: 7.875 (7.875) Lt: 7.533 (7.533) Accm: 0.88 (0.88) Acct: 1.24 (1.24) proj_loss: -0.3642 (-0.3642) time: 0.3422 data: 0.0003
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:09:30 tlr: 0.00017 tnm: 0.91 Lm: 7.997 (7.997) Lt: 7.679 (7.679) Accm: 0.74 (0.74) Acct: 0.95 (0.95) proj_loss: -0.3569 (-0.3569) time: 0.3419 data: 0.0003
[11-25 09:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:09:30 tlr: 0.00017 tnm: 0.91 Lm: 8.019 (8.019) Lt: 7.717 (7.717) Accm: 0.64 (0.64) Acct: 0.91 (0.91) proj_loss: -0.3513 (-0.3513) time: 0.3420 data: 0.0003
[11-25 09:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:07:28 tlr: 0.00018 tnm: 0.74 Lm: 7.984 (7.984) Lt: 7.682 (7.682) Accm: 0.79 (0.79) Acct: 1.06 (1.06) proj_loss: -0.3565 (-0.3565) time: 0.3590 data: 0.0002
[11-25 09:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:07:28 tlr: 0.00018 tnm: 0.74 Lm: 7.979 (7.979) Lt: 7.646 (7.646) Accm: 0.74 (0.74) Acct: 0.93 (0.93) proj_loss: -0.3625 (-0.3625) time: 0.3590 data: 0.0002
[11-25 09:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:07:28 tlr: 0.00018 tnm: 0.74 Lm: 7.949 (7.949) Lt: 7.622 (7.622) Accm: 0.80 (0.80) Acct: 1.16 (1.16) proj_loss: -0.3655 (-0.3655) time: 0.3590 data: 0.0002
[11-25 09:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:07:28 tlr: 0.00018 tnm: 0.74 Lm: 7.876 (7.876) Lt: 7.526 (7.526) Accm: 0.82 (0.82) Acct: 1.15 (1.15) proj_loss: -0.3659 (-0.3659) time: 0.3590 data: 0.0003
[11-25 09:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:04:59 tlr: 0.00019 tnm: 0.73 Lm: 7.960 (7.960) Lt: 7.614 (7.633) Accm: 0.74 (0.77) Acct: 0.95 (0.97) proj_loss: -0.3680 (-0.3649) time: 0.3578 data: 0.0002
[11-25 09:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:04:59 tlr: 0.00019 tnm: 0.73 Lm: 7.950 (7.960) Lt: 7.647 (7.644) Accm: 0.81 (0.79) Acct: 1.10 (1.07) proj_loss: -0.3618 (-0.3619) time: 0.3578 data: 0.0002
[11-25 09:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:04:59 tlr: 0.00019 tnm: 0.73 Lm: 7.876 (7.898) Lt: 7.533 (7.555) Accm: 0.88 (0.85) Acct: 1.24 (1.23) proj_loss: -0.3642 (-0.3644) time: 0.3578 data: 0.0002
[11-25 09:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:04:59 tlr: 0.00019 tnm: 0.73 Lm: 7.955 (7.957) Lt: 7.628 (7.624) Accm: 0.79 (0.80) Acct: 1.05 (1.12) proj_loss: -0.3658 (-0.3701) time: 0.3578 data: 0.0002
[11-25 09:55:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:29 tlr: 0.0002 tnm: 0.80 Lm: 7.949 (7.932) Lt: 7.622 (7.588) Accm: 0.80 (0.80) Acct: 1.12 (1.14) proj_loss: -0.3663 (-0.3693) time: 0.3561 data: 0.0002
[11-25 09:55:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:29 tlr: 0.0002 tnm: 0.80 Lm: 7.941 (7.945) Lt: 7.609 (7.612) Accm: 0.78 (0.78) Acct: 1.00 (1.00) proj_loss: -0.3671 (-0.3652) time: 0.3562 data: 0.0002
[11-25 09:55:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:29 tlr: 0.0002 tnm: 0.80 Lm: 7.876 (7.892) Lt: 7.537 (7.551) Accm: 0.83 (0.83) Acct: 1.20 (1.21) proj_loss: -0.3659 (-0.3670) time: 0.3561 data: 0.0002
[11-25 09:55:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:29 tlr: 0.0002 tnm: 0.80 Lm: 7.931 (7.942) Lt: 7.614 (7.628) Accm: 0.80 (0.79) Acct: 1.12 (1.09) proj_loss: -0.3623 (-0.3622) time: 0.3562 data: 0.0003
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.75 Lm: 7.925 (7.938) Lt: 7.596 (7.622) Accm: 0.81 (0.81) Acct: 1.14 (1.12) proj_loss: -0.3628 (-0.3690) time: 0.3602 data: 0.0015
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.75 Lm: 7.944 (7.929) Lt: 7.616 (7.588) Accm: 0.79 (0.79) Acct: 1.05 (1.11) proj_loss: -0.3668 (-0.3731) time: 0.3602 data: 0.0015
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.75 Lm: 7.875 (7.878) Lt: 7.533 (7.540) Accm: 0.78 (0.80) Acct: 1.15 (1.16) proj_loss: -0.3677 (-0.3672) time: 0.3602 data: 0.0019
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.75 Lm: 7.923 (7.937) Lt: 7.605 (7.602) Accm: 0.81 (0.79) Acct: 1.05 (1.06) proj_loss: -0.3680 (-0.3667) time: 0.3603 data: 0.0016
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:09:57 (0.358 s / it)
[11-25 09:57:59] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.922 (7.922), Lt: 7.592 (7.592), Acc m&t: 0.82 1.15, Remain: 2 days, 9:41:08, Finish: 2024-11-27 03:39
[11-25 09:57:59] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.922 (7.922), Lt: 7.592 (7.592), Acc m&t: 0.82 1.15, Remain: 2 days, 9:42:22, Finish: 2024-11-27 03:40
[11-25 09:57:59] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.922 (7.922), Lt: 7.592 (7.592), Acc m&t: 0.82 1.15, Remain: 2 days, 9:43:13, Finish: 2024-11-27 03:41
[11-25 09:57:59] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.922 (7.922), Lt: 7.592 (7.592), Acc m&t: 0.82 1.15, Remain: 2 days, 9:42:54, Finish: 2024-11-27 03:40
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:09:32 tlr: 0.00021 tnm: 0.78 Lm: 7.889 (7.889) Lt: 7.556 (7.556) Accm: 0.84 (0.84) Acct: 1.17 (1.17) proj_loss: -0.3920 (-0.3920) time: 0.3432 data: 0.0004
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:09:33 tlr: 0.00021 tnm: 0.78 Lm: 7.925 (7.925) Lt: 7.581 (7.581) Accm: 0.81 (0.81) Acct: 1.10 (1.10) proj_loss: -0.3749 (-0.3749) time: 0.3436 data: 0.0003
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:09:33 tlr: 0.00021 tnm: 0.78 Lm: 7.940 (7.940) Lt: 7.627 (7.627) Accm: 0.82 (0.82) Acct: 1.10 (1.10) proj_loss: -0.3635 (-0.3635) time: 0.3438 data: 0.0003
[11-25 09:57:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:09:33 tlr: 0.00021 tnm: 0.78 Lm: 7.920 (7.920) Lt: 7.552 (7.552) Accm: 0.84 (0.84) Acct: 1.29 (1.29) proj_loss: -0.3635 (-0.3635) time: 0.3434 data: 0.0003
[11-25 10:00:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:28 tlr: 0.00021 tnm: 0.76 Lm: 7.878 (7.878) Lt: 7.534 (7.534) Accm: 0.91 (0.91) Acct: 1.32 (1.32) proj_loss: -0.3728 (-0.3728) time: 0.3595 data: 0.0002
[11-25 10:00:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:28 tlr: 0.00021 tnm: 0.76 Lm: 7.912 (7.912) Lt: 7.572 (7.572) Accm: 0.83 (0.83) Acct: 1.16 (1.16) proj_loss: -0.3881 (-0.3881) time: 0.3595 data: 0.0002
[11-25 10:00:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:28 tlr: 0.00021 tnm: 0.76 Lm: 7.849 (7.849) Lt: 7.529 (7.529) Accm: 0.89 (0.89) Acct: 1.16 (1.16) proj_loss: -0.3721 (-0.3721) time: 0.3595 data: 0.0003
[11-25 10:00:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:28 tlr: 0.00021 tnm: 0.76 Lm: 7.894 (7.894) Lt: 7.551 (7.551) Accm: 0.85 (0.85) Acct: 1.17 (1.17) proj_loss: -0.3809 (-0.3809) time: 0.3595 data: 0.0002
[11-25 10:02:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:04:58 tlr: 0.00022 tnm: 0.65 Lm: 7.885 (7.891) Lt: 7.551 (7.551) Accm: 0.87 (0.86) Acct: 1.24 (1.24) proj_loss: -0.3869 (-0.3868) time: 0.3584 data: 0.0002
[11-25 10:02:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:04:58 tlr: 0.00022 tnm: 0.65 Lm: 7.889 (7.885) Lt: 7.556 (7.560) Accm: 0.84 (0.85) Acct: 1.17 (1.18) proj_loss: -0.3920 (-0.3910) time: 0.3584 data: 0.0002
[11-25 10:02:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:04:58 tlr: 0.00022 tnm: 0.65 Lm: 7.788 (7.829) Lt: 7.431 (7.495) Accm: 0.87 (0.88) Acct: 1.14 (1.15) proj_loss: -0.3807 (-0.3774) time: 0.3584 data: 0.0002
[11-25 10:02:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:04:58 tlr: 0.00022 tnm: 0.65 Lm: 7.835 (7.855) Lt: 7.516 (7.516) Accm: 0.97 (0.93) Acct: 1.29 (1.29) proj_loss: -0.3812 (-0.3756) time: 0.3584 data: 0.0002
[11-25 10:05:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.71 Lm: 7.822 (7.838) Lt: 7.497 (7.499) Accm: 0.98 (0.95) Acct: 1.32 (1.34) proj_loss: -0.3817 (-0.3774) time: 0.3575 data: 0.0003
[11-25 10:05:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.71 Lm: 7.861 (7.872) Lt: 7.546 (7.545) Accm: 0.83 (0.84) Acct: 1.16 (1.16) proj_loss: -0.3905 (-0.3905) time: 0.3575 data: 0.0002
[11-25 10:05:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.71 Lm: 7.875 (7.877) Lt: 7.536 (7.528) Accm: 0.88 (0.89) Acct: 1.31 (1.30) proj_loss: -0.3826 (-0.3847) time: 0.3575 data: 0.0002
[11-25 10:05:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.71 Lm: 7.796 (7.822) Lt: 7.432 (7.480) Accm: 0.85 (0.87) Acct: 1.14 (1.15) proj_loss: -0.3844 (-0.3821) time: 0.3575 data: 0.0003
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.68 Lm: 7.803 (7.827) Lt: 7.433 (7.487) Accm: 0.84 (0.86) Acct: 1.14 (1.15) proj_loss: -0.3881 (-0.3842) time: 0.3590 data: 0.0017
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:09:57 (0.358 s / it)
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.68 Lm: 7.864 (7.862) Lt: 7.521 (7.506) Accm: 0.90 (0.89) Acct: 1.33 (1.30) proj_loss: -0.3826 (-0.3843) time: 0.3590 data: 0.0020
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.68 Lm: 7.833 (7.854) Lt: 7.537 (7.520) Accm: 0.84 (0.87) Acct: 1.17 (1.21) proj_loss: -0.3920 (-0.3920) time: 0.3590 data: 0.0015
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.68 Lm: 7.810 (7.831) Lt: 7.500 (7.499) Accm: 0.98 (0.97) Acct: 1.34 (1.35) proj_loss: -0.3821 (-0.3816) time: 0.3590 data: 0.0015
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:09:57 (0.358 s / it)
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:09:57 (0.358 s / it)
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:09:57 (0.358 s / it)
[11-25 10:07:57] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.830 (7.830), Lt: 7.492 (7.492), Acc m&t: 0.91 1.26, Remain: 2 days, 9:36:23, Finish: 2024-11-27 03:44
[11-25 10:07:57] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.830 (7.830), Lt: 7.492 (7.492), Acc m&t: 0.91 1.26, Remain: 2 days, 9:37:42, Finish: 2024-11-27 03:45
[11-25 10:07:57] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.830 (7.830), Lt: 7.492 (7.492), Acc m&t: 0.91 1.26, Remain: 2 days, 9:36:58, Finish: 2024-11-27 03:44
[11-25 10:07:57] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.830 (7.830), Lt: 7.492 (7.492), Acc m&t: 0.91 1.26, Remain: 2 days, 9:38:26, Finish: 2024-11-27 03:46
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.71 Lm: 7.734 (7.734) Lt: 7.433 (7.433) Accm: 1.06 (1.06) Acct: 1.50 (1.50) proj_loss: -0.3972 (-0.3972) time: 0.3433 data: 0.0003
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.71 Lm: 7.796 (7.796) Lt: 7.429 (7.429) Accm: 0.97 (0.97) Acct: 1.26 (1.26) proj_loss: -0.3709 (-0.3709) time: 0.3430 data: 0.0003
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:10:01 tlr: 0.00024 tnm: 0.71 Lm: 7.794 (7.794) Lt: 7.426 (7.426) Accm: 0.93 (0.93) Acct: 1.50 (1.50) proj_loss: -0.3955 (-0.3955) time: 0.3605 data: 0.0003
[11-25 10:07:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:09:33 tlr: 0.00024 tnm: 0.71 Lm: 7.847 (7.847) Lt: 7.510 (7.510) Accm: 0.90 (0.90) Acct: 1.17 (1.17) proj_loss: -0.3891 (-0.3891) time: 0.3434 data: 0.0003
[11-25 10:10:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.69 Lm: 7.815 (7.815) Lt: 7.483 (7.483) Accm: 0.89 (0.89) Acct: 1.17 (1.17) proj_loss: -0.3879 (-0.3879) time: 0.3582 data: 0.0002
[11-25 10:10:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.69 Lm: 7.759 (7.759) Lt: 7.404 (7.404) Accm: 0.99 (0.99) Acct: 1.28 (1.28) proj_loss: -0.3845 (-0.3845) time: 0.3582 data: 0.0002
[11-25 10:10:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.69 Lm: 7.709 (7.709) Lt: 7.396 (7.396) Accm: 1.14 (1.14) Acct: 1.62 (1.62) proj_loss: -0.3924 (-0.3924) time: 0.3582 data: 0.0002
[11-25 10:10:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.69 Lm: 7.793 (7.793) Lt: 7.452 (7.452) Accm: 0.95 (0.95) Acct: 1.36 (1.36) proj_loss: -0.3975 (-0.3975) time: 0.3582 data: 0.0002
[11-25 10:13:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:06 tlr: 0.00024 tnm: 0.64 Lm: 7.796 (7.780) Lt: 7.429 (7.430) Accm: 0.97 (0.96) Acct: 1.26 (1.25) proj_loss: -0.3965 (-0.3885) time: 0.4245 data: 0.0002
[11-25 10:13:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:06 tlr: 0.00024 tnm: 0.64 Lm: 7.734 (7.736) Lt: 7.408 (7.400) Accm: 1.06 (1.04) Acct: 1.50 (1.49) proj_loss: -0.3875 (-0.3884) time: 0.4245 data: 0.0003
[11-25 10:13:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:06 tlr: 0.00024 tnm: 0.64 Lm: 7.791 (7.773) Lt: 7.426 (7.430) Accm: 0.96 (0.98) Acct: 1.50 (1.41) proj_loss: -0.3955 (-0.3927) time: 0.4245 data: 0.0002
[11-25 10:13:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:06 tlr: 0.00024 tnm: 0.64 Lm: 7.783 (7.796) Lt: 7.456 (7.462) Accm: 0.90 (0.92) Acct: 1.17 (1.23) proj_loss: -0.3891 (-0.3930) time: 0.4245 data: 0.0003
[11-25 10:15:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.55 Lm: 7.773 (7.772) Lt: 7.412 (7.421) Accm: 0.97 (0.96) Acct: 1.28 (1.27) proj_loss: -0.3970 (-0.3907) time: 0.3598 data: 0.0002
[11-25 10:15:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.55 Lm: 7.762 (7.760) Lt: 7.407 (7.408) Accm: 0.99 (0.99) Acct: 1.50 (1.44) proj_loss: -0.3936 (-0.3924) time: 0.3598 data: 0.0003
[11-25 10:15:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.55 Lm: 7.771 (7.777) Lt: 7.438 (7.441) Accm: 0.92 (0.93) Acct: 1.17 (1.21) proj_loss: -0.3961 (-0.3964) time: 0.3598 data: 0.0002
[11-25 10:15:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:32 tlr: 0.00024 tnm: 0.55 Lm: 7.709 (7.701) Lt: 7.383 (7.358) Accm: 1.13 (1.08) Acct: 1.62 (1.55) proj_loss: -0.3923 (-0.3906) time: 0.3598 data: 0.0003
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.684 (7.683) Lt: 7.358 (7.339) Accm: 1.11 (1.09) Acct: 1.50 (1.53) proj_loss: -0.3970 (-0.3920) time: 0.3587 data: 0.0016
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:05 (0.363 s / it)
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.751 (7.765) Lt: 7.395 (7.407) Accm: 0.97 (0.98) Acct: 1.31 (1.30) proj_loss: -0.3974 (-0.3948) time: 0.3587 data: 0.0015
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.764 (7.761) Lt: 7.412 (7.409) Accm: 0.96 (0.97) Acct: 1.50 (1.42) proj_loss: -0.3955 (-0.3945) time: 0.3587 data: 0.0016
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.759 (7.756) Lt: 7.420 (7.404) Accm: 0.94 (0.96) Acct: 1.17 (1.28) proj_loss: -0.3949 (-0.3961) time: 0.3587 data: 0.0019
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:05 (0.363 s / it)
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:05 (0.363 s / it)
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:05 (0.363 s / it)
[11-25 10:18:02] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.735 (7.735), Lt: 7.377 (7.377), Acc m&t: 1.00 1.40, Remain: 2 days, 9:05:06, Finish: 2024-11-27 03:23
[11-25 10:18:02] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.735 (7.735), Lt: 7.377 (7.377), Acc m&t: 1.00 1.40, Remain: 2 days, 9:06:20, Finish: 2024-11-27 03:24
[11-25 10:18:02] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.735 (7.735), Lt: 7.377 (7.377), Acc m&t: 1.00 1.40, Remain: 2 days, 9:06:39, Finish: 2024-11-27 03:24
[11-25 10:18:02] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.735 (7.735), Lt: 7.377 (7.377), Acc m&t: 1.00 1.40, Remain: 2 days, 9:03:50, Finish: 2024-11-27 03:21
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.58 Lm: 7.753 (7.753) Lt: 7.362 (7.362) Accm: 0.95 (0.95) Acct: 1.39 (1.39) proj_loss: -0.4054 (-0.4054) time: 0.3448 data: 0.0003
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.58 Lm: 7.725 (7.725) Lt: 7.361 (7.361) Accm: 0.90 (0.90) Acct: 1.19 (1.19) proj_loss: -0.3797 (-0.3797) time: 0.3451 data: 0.0004
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:09:36 tlr: 0.00024 tnm: 0.58 Lm: 7.637 (7.637) Lt: 7.254 (7.254) Accm: 1.15 (1.15) Acct: 1.64 (1.64) proj_loss: -0.4039 (-0.4039) time: 0.3452 data: 0.0004
[11-25 10:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.58 Lm: 7.694 (7.694) Lt: 7.301 (7.301) Accm: 1.22 (1.22) Acct: 1.38 (1.38) proj_loss: -0.4073 (-0.4073) time: 0.3446 data: 0.0003
[11-25 10:20:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.69 Lm: 7.663 (7.663) Lt: 7.285 (7.285) Accm: 1.18 (1.18) Acct: 1.49 (1.49) proj_loss: -0.4001 (-0.4001) time: 0.3580 data: 0.0002
[11-25 10:20:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.69 Lm: 7.740 (7.740) Lt: 7.355 (7.355) Accm: 0.98 (0.98) Acct: 1.46 (1.46) proj_loss: -0.4114 (-0.4114) time: 0.3580 data: 0.0002
[11-25 10:20:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.69 Lm: 7.643 (7.643) Lt: 7.278 (7.278) Accm: 1.00 (1.00) Acct: 1.37 (1.37) proj_loss: -0.3879 (-0.3879) time: 0.3580 data: 0.0002
[11-25 10:20:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.69 Lm: 7.604 (7.604) Lt: 7.211 (7.211) Accm: 1.20 (1.20) Acct: 1.70 (1.70) proj_loss: -0.4056 (-0.4056) time: 0.3580 data: 0.0003
[11-25 10:23:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.60 Lm: 7.637 (7.621) Lt: 7.254 (7.240) Accm: 1.15 (1.18) Acct: 1.64 (1.61) proj_loss: -0.4074 (-0.4086) time: 0.3587 data: 0.0003
[11-25 10:23:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.60 Lm: 7.693 (7.660) Lt: 7.309 (7.288) Accm: 1.11 (1.06) Acct: 1.53 (1.42) proj_loss: -0.3962 (-0.3974) time: 0.3587 data: 0.0003
[11-25 10:23:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.60 Lm: 7.727 (7.698) Lt: 7.347 (7.313) Accm: 1.01 (1.02) Acct: 1.53 (1.52) proj_loss: -0.4169 (-0.4132) time: 0.3587 data: 0.0002
[11-25 10:23:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.60 Lm: 7.632 (7.640) Lt: 7.268 (7.266) Accm: 1.22 (1.20) Acct: 1.60 (1.61) proj_loss: -0.3972 (-0.3992) time: 0.3587 data: 0.0004
[11-25 10:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.60 Lm: 7.663 (7.655) Lt: 7.281 (7.273) Accm: 1.18 (1.18) Acct: 1.65 (1.63) proj_loss: -0.3980 (-0.3991) time: 0.3601 data: 0.0002
[11-25 10:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.60 Lm: 7.689 (7.686) Lt: 7.300 (7.298) Accm: 1.02 (1.02) Acct: 1.48 (1.50) proj_loss: -0.4127 (-0.4120) time: 0.3601 data: 0.0002
[11-25 10:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.60 Lm: 7.604 (7.605) Lt: 7.211 (7.214) Accm: 1.15 (1.14) Acct: 1.55 (1.58) proj_loss: -0.4100 (-0.4096) time: 0.3601 data: 0.0003
[11-25 10:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.60 Lm: 7.682 (7.663) Lt: 7.274 (7.276) Accm: 1.05 (1.04) Acct: 1.51 (1.44) proj_loss: -0.4063 (-0.4045) time: 0.3601 data: 0.0003
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.671 (7.649) Lt: 7.240 (7.262) Accm: 1.09 (1.05) Acct: 1.53 (1.46) proj_loss: -0.4044 (-0.4045) time: 0.3608 data: 0.0015
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:09:57 (0.358 s / it)
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.651 (7.649) Lt: 7.253 (7.256) Accm: 1.04 (1.08) Acct: 1.53 (1.55) proj_loss: -0.4085 (-0.4097) time: 0.3608 data: 0.0014
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.632 (7.638) Lt: 7.268 (7.249) Accm: 1.14 (1.17) Acct: 1.67 (1.64) proj_loss: -0.3987 (-0.4014) time: 0.3608 data: 0.0014
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.572 (7.598) Lt: 7.168 (7.205) Accm: 1.15 (1.16) Acct: 1.64 (1.60) proj_loss: -0.4089 (-0.4095) time: 0.3608 data: 0.0019
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:09:57 (0.358 s / it)
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:09:57 (0.358 s / it)
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:09:57 (0.358 s / it)
[11-25 10:28:00] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.645 (7.645), Lt: 7.253 (7.253), Acc m&t: 1.10 1.55, Remain: 2 days, 9:15:24, Finish: 2024-11-27 03:43
[11-25 10:28:00] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.645 (7.645), Lt: 7.253 (7.253), Acc m&t: 1.10 1.55, Remain: 2 days, 9:15:31, Finish: 2024-11-27 03:43
[11-25 10:28:00] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.645 (7.645), Lt: 7.253 (7.253), Acc m&t: 1.10 1.55, Remain: 2 days, 9:16:21, Finish: 2024-11-27 03:44
[11-25 10:28:00] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.645 (7.645), Lt: 7.253 (7.253), Acc m&t: 1.10 1.55, Remain: 2 days, 9:15:13, Finish: 2024-11-27 03:43
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:09:44 tlr: 0.00024 tnm: 0.59 Lm: 7.654 (7.654) Lt: 7.279 (7.279) Accm: 1.18 (1.18) Acct: 1.74 (1.74) proj_loss: -0.4141 (-0.4141) time: 0.3504 data: 0.0003
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:10:17 tlr: 0.00024 tnm: 0.59 Lm: 7.634 (7.634) Lt: 7.212 (7.212) Accm: 1.16 (1.16) Acct: 1.72 (1.72) proj_loss: -0.4064 (-0.4064) time: 0.3701 data: 0.0003
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:09:45 tlr: 0.00024 tnm: 0.59 Lm: 7.574 (7.574) Lt: 7.122 (7.122) Accm: 1.34 (1.34) Acct: 2.13 (2.13) proj_loss: -0.4165 (-0.4165) time: 0.3510 data: 0.0003
[11-25 10:28:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:09:44 tlr: 0.00024 tnm: 0.59 Lm: 7.530 (7.530) Lt: 7.120 (7.120) Accm: 1.22 (1.22) Acct: 1.88 (1.88) proj_loss: -0.3944 (-0.3944) time: 0.3502 data: 0.0003
[11-25 10:30:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.59 Lm: 7.567 (7.567) Lt: 7.147 (7.147) Accm: 1.27 (1.27) Acct: 1.95 (1.95) proj_loss: -0.3964 (-0.3964) time: 0.3582 data: 0.0002
[11-25 10:30:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.59 Lm: 7.625 (7.625) Lt: 7.249 (7.249) Accm: 1.16 (1.16) Acct: 1.58 (1.58) proj_loss: -0.4126 (-0.4126) time: 0.3582 data: 0.0002
[11-25 10:30:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.59 Lm: 7.612 (7.612) Lt: 7.181 (7.181) Accm: 1.18 (1.18) Acct: 1.73 (1.73) proj_loss: -0.4109 (-0.4109) time: 0.3582 data: 0.0002
[11-25 10:30:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.59 Lm: 7.569 (7.569) Lt: 7.133 (7.133) Accm: 1.22 (1.22) Acct: 1.84 (1.84) proj_loss: -0.4148 (-0.4148) time: 0.3582 data: 0.0002
[11-25 10:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.56 Lm: 7.574 (7.597) Lt: 7.144 (7.168) Accm: 1.17 (1.20) Acct: 1.77 (1.82) proj_loss: -0.4149 (-0.4148) time: 0.3589 data: 0.0003
[11-25 10:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.56 Lm: 7.595 (7.595) Lt: 7.220 (7.200) Accm: 1.18 (1.23) Acct: 1.74 (1.70) proj_loss: -0.4141 (-0.4145) time: 0.3589 data: 0.0002
[11-25 10:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.56 Lm: 7.590 (7.592) Lt: 7.151 (7.166) Accm: 1.20 (1.23) Acct: 1.74 (1.78) proj_loss: -0.4141 (-0.4119) time: 0.3589 data: 0.0002
[11-25 10:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.56 Lm: 7.568 (7.567) Lt: 7.146 (7.147) Accm: 1.32 (1.29) Acct: 1.88 (1.92) proj_loss: -0.3984 (-0.4026) time: 0.3589 data: 0.0002
[11-25 10:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.50 Lm: 7.549 (7.558) Lt: 7.133 (7.134) Accm: 1.33 (1.30) Acct: 1.87 (1.89) proj_loss: -0.4066 (-0.4061) time: 0.3580 data: 0.0002
[11-25 10:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.50 Lm: 7.566 (7.578) Lt: 7.161 (7.173) Accm: 1.18 (1.22) Acct: 1.70 (1.70) proj_loss: -0.4161 (-0.4198) time: 0.3580 data: 0.0002
[11-25 10:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.50 Lm: 7.571 (7.573) Lt: 7.143 (7.149) Accm: 1.18 (1.19) Acct: 1.73 (1.71) proj_loss: -0.4147 (-0.4130) time: 0.3580 data: 0.0002
[11-25 10:35:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.50 Lm: 7.572 (7.590) Lt: 7.133 (7.154) Accm: 1.19 (1.20) Acct: 1.77 (1.81) proj_loss: -0.4140 (-0.4143) time: 0.3580 data: 0.0003
[11-25 10:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.569 (7.580) Lt: 7.122 (7.144) Accm: 1.21 (1.22) Acct: 1.77 (1.80) proj_loss: -0.4131 (-0.4132) time: 0.4216 data: 0.0019
[11-25 10:38:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:06 (0.363 s / it)
[11-25 10:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.595 (7.584) Lt: 7.180 (7.175) Accm: 1.18 (1.21) Acct: 1.74 (1.71) proj_loss: -0.4141 (-0.4174) time: 0.4216 data: 0.0016
[11-25 10:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.553 (7.563) Lt: 7.135 (7.132) Accm: 1.20 (1.20) Acct: 1.74 (1.74) proj_loss: -0.4153 (-0.4136) time: 0.4216 data: 0.0015
[11-25 10:38:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.530 (7.544) Lt: 7.120 (7.117) Accm: 1.33 (1.34) Acct: 1.88 (1.95) proj_loss: -0.4149 (-0.4086) time: 0.4216 data: 0.0018
[11-25 10:38:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:06 (0.363 s / it)
[11-25 10:38:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:06 (0.363 s / it)
[11-25 10:38:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:06 (0.363 s / it)
[11-25 10:41:54] (home/user/VAR/trainer.py, line 114)=> FID: 24.726047625415333
[11-25 10:41:55] (/home/user/VAR/train.py , line 259)=> [*] [ep9] (val 50000) Lm: 7.5556, Lt: 7.1258, Acc m&t: 1.23 1.77, Val cost: 228.19s
[11-25 10:41:55] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-25 10:42:10] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.556 (7.556), Lt: 7.126 (7.126), Acc m&t: 1.23 1.77, Remain: 2 days, 8:59:36, Finish: 2024-11-27 03:37
[11-25 10:42:10] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.556 (7.556), Lt: 7.126 (7.126), Acc m&t: 1.23 1.77, Remain: 2 days, 9:01:19, Finish: 2024-11-27 03:39
[11-25 10:42:10] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.556 (7.556), Lt: 7.126 (7.126), Acc m&t: 1.23 1.77, Remain: 2 days, 9:01:15, Finish: 2024-11-27 03:39
[11-25 10:42:10] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.556 (7.556), Lt: 7.126 (7.126), Acc m&t: 1.23 1.77, Remain: 2 days, 9:00:06, Finish: 2024-11-27 03:38
[11-25 10:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:14:06 tlr: 0.00024 tnm: 0.56 Lm: 7.492 (7.492) Lt: 7.048 (7.048) Accm: 1.58 (1.58) Acct: 2.29 (2.29) proj_loss: -0.4202 (-0.4202) time: 0.5072 data: 0.0003
[11-25 10:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:14:05 tlr: 0.00024 tnm: 0.56 Lm: 7.460 (7.460) Lt: 7.001 (7.001) Accm: 1.33 (1.33) Acct: 2.13 (2.13) proj_loss: -0.4026 (-0.4026) time: 0.5068 data: 0.0004
[11-25 10:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:14:00 tlr: 0.00024 tnm: 0.56 Lm: 7.478 (7.478) Lt: 7.008 (7.008) Accm: 1.44 (1.44) Acct: 1.89 (1.89) proj_loss: -0.4205 (-0.4205) time: 0.5035 data: 0.0003
[11-25 10:42:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:14:04 tlr: 0.00024 tnm: 0.56 Lm: 7.610 (7.610) Lt: 7.186 (7.186) Accm: 1.18 (1.18) Acct: 1.69 (1.69) proj_loss: -0.4136 (-0.4136) time: 0.5061 data: 0.0007
[11-25 10:44:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:30 tlr: 0.00024 tnm: 0.59 Lm: 7.571 (7.571) Lt: 7.144 (7.144) Accm: 1.23 (1.23) Acct: 1.74 (1.74) proj_loss: -0.4215 (-0.4215) time: 0.3604 data: 0.0003
[11-25 10:44:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:30 tlr: 0.00024 tnm: 0.59 Lm: 7.526 (7.526) Lt: 7.069 (7.069) Accm: 1.32 (1.32) Acct: 1.80 (1.80) proj_loss: -0.4183 (-0.4183) time: 0.3605 data: 0.0002
[11-25 10:44:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:30 tlr: 0.00024 tnm: 0.59 Lm: 7.509 (7.509) Lt: 7.067 (7.067) Accm: 1.36 (1.36) Acct: 1.98 (1.98) proj_loss: -0.4181 (-0.4181) time: 0.3605 data: 0.0002
[11-25 10:44:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:30 tlr: 0.00024 tnm: 0.59 Lm: 7.470 (7.470) Lt: 6.993 (6.993) Accm: 1.28 (1.28) Acct: 1.95 (1.95) proj_loss: -0.4071 (-0.4071) time: 0.3605 data: 0.0003
[11-25 10:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:00 tlr: 0.00024 tnm: 0.55 Lm: 7.460 (7.463) Lt: 6.992 (6.993) Accm: 1.33 (1.35) Acct: 2.00 (1.97) proj_loss: -0.4117 (-0.4129) time: 0.3605 data: 0.0003
[11-25 10:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:00 tlr: 0.00024 tnm: 0.55 Lm: 7.491 (7.515) Lt: 7.044 (7.061) Accm: 1.25 (1.30) Acct: 1.70 (1.75) proj_loss: -0.4205 (-0.4226) time: 0.3605 data: 0.0002
[11-25 10:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:00 tlr: 0.00024 tnm: 0.55 Lm: 7.526 (7.525) Lt: 7.086 (7.076) Accm: 1.14 (1.26) Acct: 1.70 (1.89) proj_loss: -0.4202 (-0.4193) time: 0.3605 data: 0.0003
[11-25 10:47:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:00 tlr: 0.00024 tnm: 0.55 Lm: 7.532 (7.547) Lt: 7.101 (7.102) Accm: 1.18 (1.21) Acct: 1.79 (1.77) proj_loss: -0.4175 (-0.4201) time: 0.3605 data: 0.0003
[11-25 10:49:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.58 Lm: 7.522 (7.539) Lt: 7.077 (7.089) Accm: 1.23 (1.28) Acct: 1.81 (1.91) proj_loss: -0.4178 (-0.4196) time: 0.3586 data: 0.0002
[11-25 10:49:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.58 Lm: 7.485 (7.502) Lt: 7.026 (7.034) Accm: 1.25 (1.29) Acct: 1.72 (1.75) proj_loss: -0.4183 (-0.4199) time: 0.3586 data: 0.0002
[11-25 10:49:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.58 Lm: 7.455 (7.446) Lt: 6.989 (6.969) Accm: 1.39 (1.38) Acct: 2.04 (2.00) proj_loss: -0.4101 (-0.4118) time: 0.3586 data: 0.0003
[11-25 10:49:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.58 Lm: 7.509 (7.497) Lt: 7.067 (7.032) Accm: 1.35 (1.34) Acct: 2.00 (1.99) proj_loss: -0.4181 (-0.4182) time: 0.3587 data: 0.0003
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.54 Lm: 7.509 (7.499) Lt: 7.071 (7.040) Accm: 1.28 (1.33) Acct: 1.93 (1.98) proj_loss: -0.4202 (-0.4211) time: 0.3593 data: 0.0017
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:09:59 (0.359 s / it)
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.54 Lm: 7.491 (7.505) Lt: 7.008 (7.028) Accm: 1.25 (1.31) Acct: 1.74 (1.83) proj_loss: -0.4161 (-0.4189) time: 0.3593 data: 0.0016
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.54 Lm: 7.460 (7.454) Lt: 6.985 (6.972) Accm: 1.33 (1.36) Acct: 2.00 (1.97) proj_loss: -0.4117 (-0.4153) time: 0.3593 data: 0.0017
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.54 Lm: 7.512 (7.505) Lt: 7.053 (7.049) Accm: 1.28 (1.33) Acct: 1.83 (2.02) proj_loss: -0.4181 (-0.4202) time: 0.3593 data: 0.0016
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:09:59 (0.359 s / it)
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:09:59 (0.359 s / it)
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:09:59 (0.359 s / it)
[11-25 10:52:09] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.481 (7.481), Lt: 7.019 (7.019), Acc m&t: 1.35 1.96, Remain: 2 days, 8:58:55, Finish: 2024-11-27 03:51
[11-25 10:52:09] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.481 (7.481), Lt: 7.019 (7.019), Acc m&t: 1.35 1.96, Remain: 2 days, 9:01:03, Finish: 2024-11-27 03:53
[11-25 10:52:09] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.481 (7.481), Lt: 7.019 (7.019), Acc m&t: 1.35 1.96, Remain: 2 days, 9:01:19, Finish: 2024-11-27 03:53
[11-25 10:52:09] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.481 (7.481), Lt: 7.019 (7.019), Acc m&t: 1.35 1.96, Remain: 2 days, 8:58:56, Finish: 2024-11-27 03:51
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.52 Lm: 7.504 (7.504) Lt: 7.044 (7.044) Accm: 1.29 (1.29) Acct: 1.76 (1.76) proj_loss: -0.4136 (-0.4136) time: 0.3655 data: 0.0003
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:09:51 tlr: 0.00024 tnm: 0.52 Lm: 7.480 (7.480) Lt: 6.999 (6.999) Accm: 1.38 (1.38) Acct: 1.96 (1.96) proj_loss: -0.4087 (-0.4087) time: 0.3547 data: 0.0004
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:09:53 tlr: 0.00024 tnm: 0.52 Lm: 7.435 (7.435) Lt: 6.944 (6.944) Accm: 1.45 (1.45) Acct: 2.39 (2.39) proj_loss: -0.4313 (-0.4313) time: 0.3553 data: 0.0003
[11-25 10:52:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:09:52 tlr: 0.00024 tnm: 0.52 Lm: 7.449 (7.449) Lt: 6.983 (6.983) Accm: 1.44 (1.44) Acct: 2.08 (2.08) proj_loss: -0.4266 (-0.4266) time: 0.3550 data: 0.0004
[11-25 10:54:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.53 Lm: 7.475 (7.475) Lt: 7.010 (7.010) Accm: 1.37 (1.37) Acct: 2.03 (2.03) proj_loss: -0.4306 (-0.4306) time: 0.3605 data: 0.0003
[11-25 10:54:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.53 Lm: 7.452 (7.452) Lt: 6.975 (6.975) Accm: 1.37 (1.37) Acct: 2.03 (2.03) proj_loss: -0.4160 (-0.4160) time: 0.3605 data: 0.0002
[11-25 10:54:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.53 Lm: 7.446 (7.446) Lt: 6.959 (6.959) Accm: 1.37 (1.37) Acct: 1.91 (1.91) proj_loss: -0.4310 (-0.4310) time: 0.3605 data: 0.0002
[11-25 10:54:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.53 Lm: 7.453 (7.453) Lt: 6.981 (6.981) Accm: 1.37 (1.37) Acct: 2.17 (2.17) proj_loss: -0.4293 (-0.4293) time: 0.3605 data: 0.0002
[11-25 10:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.48 Lm: 7.435 (7.431) Lt: 6.944 (6.954) Accm: 1.45 (1.42) Acct: 2.39 (2.26) proj_loss: -0.4272 (-0.4247) time: 0.3563 data: 0.0003
[11-25 10:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.48 Lm: 7.449 (7.444) Lt: 6.983 (6.967) Accm: 1.44 (1.41) Acct: 2.08 (2.08) proj_loss: -0.4266 (-0.4262) time: 0.3563 data: 0.0003
[11-25 10:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.48 Lm: 7.480 (7.463) Lt: 6.996 (6.982) Accm: 1.35 (1.30) Acct: 1.96 (2.00) proj_loss: -0.4233 (-0.4207) time: 0.3564 data: 0.0003
[11-25 10:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.48 Lm: 7.462 (7.451) Lt: 6.970 (6.963) Accm: 1.29 (1.31) Acct: 1.77 (1.87) proj_loss: -0.4136 (-0.4242) time: 0.3563 data: 0.0002
[11-25 10:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.59 Lm: 7.425 (7.394) Lt: 6.922 (6.903) Accm: 1.37 (1.45) Acct: 1.92 (2.02) proj_loss: -0.4237 (-0.4266) time: 0.3598 data: 0.0002
[11-25 10:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.59 Lm: 7.415 (7.427) Lt: 6.932 (6.943) Accm: 1.45 (1.42) Acct: 2.08 (2.08) proj_loss: -0.4220 (-0.4230) time: 0.3598 data: 0.0003
[11-25 10:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.59 Lm: 7.473 (7.464) Lt: 6.986 (6.981) Accm: 1.37 (1.33) Acct: 1.97 (1.99) proj_loss: -0.4197 (-0.4195) time: 0.3598 data: 0.0002
[11-25 10:59:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.59 Lm: 7.453 (7.441) Lt: 6.952 (6.955) Accm: 1.44 (1.42) Acct: 2.32 (2.26) proj_loss: -0.4279 (-0.4257) time: 0.3598 data: 0.0003
[11-25 11:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.59 Lm: 7.439 (7.441) Lt: 6.945 (6.953) Accm: 1.43 (1.41) Acct: 2.26 (2.22) proj_loss: -0.4272 (-0.4259) time: 0.3606 data: 0.0018
[11-25 11:02:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:09:59 (0.359 s / it)
[11-25 11:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.59 Lm: 7.466 (7.447) Lt: 6.977 (6.960) Accm: 1.38 (1.36) Acct: 1.98 (2.06) proj_loss: -0.4233 (-0.4206) time: 0.3606 data: 0.0016
[11-25 11:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.59 Lm: 7.439 (7.430) Lt: 6.917 (6.938) Accm: 1.44 (1.39) Acct: 2.08 (2.03) proj_loss: -0.4266 (-0.4250) time: 0.3606 data: 0.0017
[11-25 11:02:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.59 Lm: 7.388 (7.382) Lt: 6.877 (6.898) Accm: 1.45 (1.48) Acct: 2.07 (2.08) proj_loss: -0.4337 (-0.4282) time: 0.3606 data: 0.0018
[11-25 11:02:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:09:59 (0.359 s / it)
[11-25 11:02:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:09:59 (0.359 s / it)
[11-25 11:02:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:09:59 (0.359 s / it)
[11-25 11:02:08] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.444 (7.444), Lt: 6.961 (6.961), Acc m&t: 1.40 2.06, Remain: 2 days, 8:57:25, Finish: 2024-11-27 03:59
[11-25 11:02:08] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.444 (7.444), Lt: 6.961 (6.961), Acc m&t: 1.40 2.06, Remain: 2 days, 8:54:52, Finish: 2024-11-27 03:57
[11-25 11:02:08] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.444 (7.444), Lt: 6.961 (6.961), Acc m&t: 1.40 2.06, Remain: 2 days, 8:55:07, Finish: 2024-11-27 03:57
[11-25 11:02:08] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.444 (7.444), Lt: 6.961 (6.961), Acc m&t: 1.40 2.06, Remain: 2 days, 8:55:13, Finish: 2024-11-27 03:57
[11-25 11:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:00 tlr: 0.00024 tnm: 0.48 Lm: 7.437 (7.437) Lt: 6.954 (6.954) Accm: 1.41 (1.41) Acct: 2.13 (2.13) proj_loss: -0.4222 (-0.4222) time: 0.3600 data: 0.0003
[11-25 11:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:00 tlr: 0.00024 tnm: 0.48 Lm: 7.378 (7.378) Lt: 6.870 (6.870) Accm: 1.44 (1.44) Acct: 2.12 (2.12) proj_loss: -0.4090 (-0.4090) time: 0.3600 data: 0.0003
[11-25 11:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:24 tlr: 0.00024 tnm: 0.48 Lm: 7.442 (7.442) Lt: 6.985 (6.985) Accm: 1.40 (1.40) Acct: 1.95 (1.95) proj_loss: -0.4214 (-0.4214) time: 0.3745 data: 0.0003
[11-25 11:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:05 tlr: 0.00024 tnm: 0.48 Lm: 7.424 (7.424) Lt: 6.912 (6.912) Accm: 1.41 (1.41) Acct: 2.08 (2.08) proj_loss: -0.4341 (-0.4341) time: 0.3627 data: 0.0003
[11-25 11:04:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.57 Lm: 7.423 (7.423) Lt: 6.901 (6.901) Accm: 1.42 (1.42) Acct: 2.15 (2.15) proj_loss: -0.4222 (-0.4222) time: 0.3590 data: 0.0003
[11-25 11:04:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.57 Lm: 7.460 (7.460) Lt: 6.962 (6.962) Accm: 1.39 (1.39) Acct: 2.01 (2.01) proj_loss: -0.4149 (-0.4149) time: 0.3589 data: 0.0002
[11-25 11:04:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.57 Lm: 7.458 (7.458) Lt: 6.977 (6.977) Accm: 1.41 (1.41) Acct: 2.15 (2.15) proj_loss: -0.4176 (-0.4176) time: 0.3590 data: 0.0002
[11-25 11:04:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.57 Lm: 7.368 (7.368) Lt: 6.847 (6.847) Accm: 1.47 (1.47) Acct: 2.13 (2.13) proj_loss: -0.4162 (-0.4162) time: 0.3590 data: 0.0002
[11-25 11:07:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.51 Lm: 7.378 (7.389) Lt: 6.870 (6.866) Accm: 1.50 (1.48) Acct: 2.13 (2.13) proj_loss: -0.4234 (-0.4215) time: 0.3577 data: 0.0002
[11-25 11:07:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.51 Lm: 7.453 (7.458) Lt: 6.938 (6.952) Accm: 1.40 (1.42) Acct: 2.07 (2.06) proj_loss: -0.4214 (-0.4224) time: 0.3577 data: 0.0003
[11-25 11:07:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.51 Lm: 7.453 (7.456) Lt: 6.958 (6.970) Accm: 1.41 (1.43) Acct: 2.17 (2.23) proj_loss: -0.4222 (-0.4250) time: 0.3577 data: 0.0002
[11-25 11:07:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.51 Lm: 7.423 (7.404) Lt: 6.891 (6.891) Accm: 1.41 (1.40) Acct: 2.08 (2.07) proj_loss: -0.4341 (-0.4292) time: 0.3577 data: 0.0003
[11-25 11:09:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.56 Lm: 7.397 (7.396) Lt: 6.893 (6.892) Accm: 1.42 (1.45) Acct: 2.15 (2.15) proj_loss: -0.4386 (-0.4348) time: 0.3603 data: 0.0002
[11-25 11:09:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.56 Lm: 7.445 (7.446) Lt: 6.956 (6.953) Accm: 1.41 (1.41) Acct: 2.20 (2.23) proj_loss: -0.4226 (-0.4245) time: 0.3603 data: 0.0004
[11-25 11:09:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.56 Lm: 7.386 (7.390) Lt: 6.878 (6.870) Accm: 1.47 (1.45) Acct: 2.13 (2.08) proj_loss: -0.4162 (-0.4173) time: 0.3603 data: 0.0002
[11-25 11:09:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.56 Lm: 7.448 (7.443) Lt: 6.936 (6.938) Accm: 1.44 (1.44) Acct: 2.12 (2.09) proj_loss: -0.4294 (-0.4270) time: 0.3603 data: 0.0003
[11-25 11:12:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.48 Lm: 7.442 (7.436) Lt: 6.934 (6.935) Accm: 1.47 (1.46) Acct: 2.07 (2.08) proj_loss: -0.4359 (-0.4287) time: 0.3596 data: 0.0018
[11-25 11:12:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:06 (0.364 s / it)
[11-25 11:12:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.48 Lm: 7.437 (7.417) Lt: 6.954 (6.911) Accm: 1.41 (1.44) Acct: 2.20 (2.22) proj_loss: -0.4229 (-0.4272) time: 0.3596 data: 0.0019
[11-25 11:12:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.48 Lm: 7.378 (7.365) Lt: 6.870 (6.843) Accm: 1.50 (1.47) Acct: 2.13 (2.15) proj_loss: -0.4234 (-0.4216) time: 0.3596 data: 0.0016
[11-25 11:12:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.48 Lm: 7.371 (7.376) Lt: 6.891 (6.869) Accm: 1.44 (1.48) Acct: 2.22 (2.21) proj_loss: -0.4422 (-0.4363) time: 0.3596 data: 0.0018
[11-25 11:12:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:06 (0.364 s / it)
[11-25 11:12:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:06 (0.364 s / it)
[11-25 11:12:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:06 (0.364 s / it)
[11-25 11:12:15] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.404 (7.404), Lt: 6.904 (6.904), Acc m&t: 1.47 2.18, Remain: 2 days, 8:35:41, Finish: 2024-11-27 03:47
[11-25 11:12:15] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.404 (7.404), Lt: 6.904 (6.904), Acc m&t: 1.47 2.18, Remain: 2 days, 8:35:59, Finish: 2024-11-27 03:48
[11-25 11:12:15] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.404 (7.404), Lt: 6.904 (6.904), Acc m&t: 1.47 2.18, Remain: 2 days, 8:35:24, Finish: 2024-11-27 03:47
[11-25 11:12:15] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.404 (7.404), Lt: 6.904 (6.904), Acc m&t: 1.47 2.18, Remain: 2 days, 8:34:23, Finish: 2024-11-27 03:46
[11-25 11:12:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:09:36 tlr: 0.00024 tnm: 0.49 Lm: 7.422 (7.422) Lt: 6.955 (6.955) Accm: 1.38 (1.38) Acct: 2.00 (2.00) proj_loss: -0.4380 (-0.4380) time: 0.3452 data: 0.0002
[11-25 11:12:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.49 Lm: 7.439 (7.439) Lt: 6.900 (6.900) Accm: 1.35 (1.35) Acct: 2.10 (2.10) proj_loss: -0.4294 (-0.4294) time: 0.3449 data: 0.0004
[11-25 11:12:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:09:36 tlr: 0.00024 tnm: 0.49 Lm: 7.377 (7.377) Lt: 6.846 (6.846) Accm: 1.59 (1.59) Acct: 2.44 (2.44) proj_loss: -0.4457 (-0.4457) time: 0.3452 data: 0.0003
[11-25 11:12:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:09:36 tlr: 0.00024 tnm: 0.49 Lm: 7.326 (7.326) Lt: 6.784 (6.784) Accm: 1.29 (1.29) Acct: 1.89 (1.89) proj_loss: -0.4321 (-0.4321) time: 0.3455 data: 0.0003
[11-25 11:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.49 Lm: 7.347 (7.347) Lt: 6.825 (6.825) Accm: 1.35 (1.35) Acct: 2.05 (2.05) proj_loss: -0.4430 (-0.4430) time: 0.3585 data: 0.0003
[11-25 11:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.49 Lm: 7.386 (7.386) Lt: 6.841 (6.841) Accm: 1.41 (1.41) Acct: 2.28 (2.28) proj_loss: -0.4295 (-0.4295) time: 0.3585 data: 0.0003
[11-25 11:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.49 Lm: 7.379 (7.379) Lt: 6.857 (6.857) Accm: 1.46 (1.46) Acct: 2.15 (2.15) proj_loss: -0.4350 (-0.4350) time: 0.3585 data: 0.0002
[11-25 11:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.49 Lm: 7.391 (7.391) Lt: 6.903 (6.903) Accm: 1.53 (1.53) Acct: 2.32 (2.32) proj_loss: -0.4377 (-0.4377) time: 0.3585 data: 0.0003
[11-25 11:17:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.58 Lm: 7.359 (7.379) Lt: 6.852 (6.863) Accm: 1.63 (1.56) Acct: 2.43 (2.35) proj_loss: -0.4373 (-0.4361) time: 0.3594 data: 0.0003
[11-25 11:17:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.58 Lm: 7.433 (7.402) Lt: 6.900 (6.871) Accm: 1.35 (1.38) Acct: 2.10 (2.19) proj_loss: -0.4295 (-0.4315) time: 0.3594 data: 0.0002
[11-25 11:17:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.58 Lm: 7.377 (7.356) Lt: 6.846 (6.838) Accm: 1.59 (1.55) Acct: 2.44 (2.32) proj_loss: -0.4411 (-0.4371) time: 0.3594 data: 0.0002
[11-25 11:17:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.58 Lm: 7.329 (7.341) Lt: 6.791 (6.813) Accm: 1.41 (1.42) Acct: 2.20 (2.15) proj_loss: -0.4433 (-0.4431) time: 0.3594 data: 0.0003
[11-25 11:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.47 Lm: 7.383 (7.369) Lt: 6.841 (6.843) Accm: 1.41 (1.46) Acct: 2.27 (2.26) proj_loss: -0.4325 (-0.4345) time: 0.3592 data: 0.0002
[11-25 11:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.47 Lm: 7.344 (7.325) Lt: 6.823 (6.801) Accm: 1.63 (1.58) Acct: 2.46 (2.36) proj_loss: -0.4393 (-0.4372) time: 0.3592 data: 0.0003
[11-25 11:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.47 Lm: 7.358 (7.360) Lt: 6.825 (6.847) Accm: 1.60 (1.56) Acct: 2.32 (2.32) proj_loss: -0.4377 (-0.4383) time: 0.3592 data: 0.0002
[11-25 11:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.47 Lm: 7.348 (7.365) Lt: 6.828 (6.847) Accm: 1.35 (1.38) Acct: 2.05 (2.08) proj_loss: -0.4424 (-0.4427) time: 0.3592 data: 0.0002
[11-25 11:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.50 Lm: 7.368 (7.368) Lt: 6.815 (6.840) Accm: 1.36 (1.38) Acct: 1.96 (2.06) proj_loss: -0.4416 (-0.4400) time: 0.3628 data: 0.0017
[11-25 11:22:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:09:57 (0.358 s / it)
[11-25 11:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.50 Lm: 7.356 (7.351) Lt: 6.799 (6.832) Accm: 1.63 (1.59) Acct: 2.43 (2.38) proj_loss: -0.4373 (-0.4380) time: 0.3627 data: 0.0016
[11-25 11:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.50 Lm: 7.433 (7.390) Lt: 6.900 (6.873) Accm: 1.40 (1.44) Acct: 2.10 (2.21) proj_loss: -0.4355 (-0.4370) time: 0.3628 data: 0.0015
[11-25 11:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.50 Lm: 7.377 (7.340) Lt: 6.846 (6.816) Accm: 1.59 (1.56) Acct: 2.44 (2.34) proj_loss: -0.4374 (-0.4329) time: 0.3628 data: 0.0020
[11-25 11:22:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:09:57 (0.358 s / it)
[11-25 11:22:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:09:57 (0.358 s / it)
[11-25 11:22:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:09:57 (0.358 s / it)
[11-25 11:22:13] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.364 (7.364), Lt: 6.849 (6.849), Acc m&t: 1.52 2.27, Remain: 2 days, 8:44:20, Finish: 2024-11-27 04:06
[11-25 11:22:13] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.364 (7.364), Lt: 6.849 (6.849), Acc m&t: 1.52 2.27, Remain: 2 days, 8:43:26, Finish: 2024-11-27 04:05
[11-25 11:22:13] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.364 (7.364), Lt: 6.849 (6.849), Acc m&t: 1.52 2.27, Remain: 2 days, 8:44:22, Finish: 2024-11-27 04:06
[11-25 11:22:13] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.364 (7.364), Lt: 6.849 (6.849), Acc m&t: 1.52 2.27, Remain: 2 days, 8:44:58, Finish: 2024-11-27 04:07
[11-25 11:22:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.52 Lm: 7.424 (7.424) Lt: 6.940 (6.940) Accm: 1.28 (1.28) Acct: 2.01 (2.01) proj_loss: -0.4304 (-0.4304) time: 0.3443 data: 0.0003
[11-25 11:22:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.52 Lm: 7.367 (7.367) Lt: 6.866 (6.866) Accm: 1.41 (1.41) Acct: 2.20 (2.20) proj_loss: -0.4362 (-0.4362) time: 0.3445 data: 0.0004
[11-25 11:22:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.52 Lm: 7.250 (7.250) Lt: 6.725 (6.725) Accm: 1.84 (1.84) Acct: 2.89 (2.89) proj_loss: -0.4403 (-0.4403) time: 0.3446 data: 0.0003
[11-25 11:22:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:09:36 tlr: 0.00024 tnm: 0.52 Lm: 7.342 (7.342) Lt: 6.799 (6.799) Accm: 1.55 (1.55) Acct: 2.27 (2.27) proj_loss: -0.4104 (-0.4104) time: 0.3452 data: 0.0004
[11-25 11:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.46 Lm: 7.381 (7.381) Lt: 6.853 (6.853) Accm: 1.56 (1.56) Acct: 2.29 (2.29) proj_loss: -0.4228 (-0.4228) time: 0.3613 data: 0.0003
[11-25 11:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.46 Lm: 7.258 (7.258) Lt: 6.722 (6.722) Accm: 1.77 (1.77) Acct: 2.65 (2.65) proj_loss: -0.4321 (-0.4321) time: 0.3613 data: 0.0002
[11-25 11:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.46 Lm: 7.311 (7.311) Lt: 6.780 (6.780) Accm: 1.57 (1.57) Acct: 2.47 (2.47) proj_loss: -0.4259 (-0.4259) time: 0.3613 data: 0.0003
[11-25 11:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.46 Lm: 7.382 (7.382) Lt: 6.889 (6.889) Accm: 1.45 (1.45) Acct: 2.18 (2.18) proj_loss: -0.4357 (-0.4357) time: 0.3613 data: 0.0002
[11-25 11:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.47 Lm: 7.341 (7.359) Lt: 6.838 (6.845) Accm: 1.62 (1.56) Acct: 2.34 (2.32) proj_loss: -0.4319 (-0.4344) time: 0.3610 data: 0.0002
[11-25 11:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.47 Lm: 7.302 (7.308) Lt: 6.763 (6.774) Accm: 1.46 (1.53) Acct: 2.24 (2.39) proj_loss: -0.4362 (-0.4299) time: 0.3610 data: 0.0003
[11-25 11:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.47 Lm: 7.345 (7.369) Lt: 6.814 (6.840) Accm: 1.57 (1.56) Acct: 2.31 (2.37) proj_loss: -0.4351 (-0.4292) time: 0.3610 data: 0.0003
[11-25 11:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.47 Lm: 7.256 (7.257) Lt: 6.725 (6.728) Accm: 1.84 (1.80) Acct: 2.81 (2.70) proj_loss: -0.4403 (-0.4354) time: 0.3610 data: 0.0003
[11-25 11:29:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.53 Lm: 7.261 (7.295) Lt: 6.732 (6.779) Accm: 1.77 (1.72) Acct: 2.61 (2.53) proj_loss: -0.4411 (-0.4397) time: 0.3550 data: 0.0003
[11-25 11:29:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.53 Lm: 7.300 (7.306) Lt: 6.782 (6.781) Accm: 1.57 (1.57) Acct: 2.26 (2.37) proj_loss: -0.4371 (-0.4335) time: 0.3550 data: 0.0002
[11-25 11:29:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.53 Lm: 7.344 (7.338) Lt: 6.807 (6.814) Accm: 1.57 (1.59) Acct: 2.42 (2.44) proj_loss: -0.4315 (-0.4289) time: 0.3550 data: 0.0003
[11-25 11:29:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.53 Lm: 7.382 (7.384) Lt: 6.883 (6.866) Accm: 1.49 (1.51) Acct: 2.20 (2.25) proj_loss: -0.4364 (-0.4368) time: 0.3550 data: 0.0003
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.341 (7.347) Lt: 6.838 (6.819) Accm: 1.62 (1.56) Acct: 2.34 (2.35) proj_loss: -0.4406 (-0.4376) time: 0.3599 data: 0.0021
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:09:58 (0.359 s / it)
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.299 (7.268) Lt: 6.763 (6.741) Accm: 1.68 (1.69) Acct: 2.29 (2.50) proj_loss: -0.4379 (-0.4386) time: 0.3599 data: 0.0018
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.266 (7.295) Lt: 6.731 (6.770) Accm: 1.81 (1.73) Acct: 2.81 (2.61) proj_loss: -0.4403 (-0.4365) time: 0.3599 data: 0.0016
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.345 (7.346) Lt: 6.799 (6.811) Accm: 1.57 (1.54) Acct: 2.31 (2.37) proj_loss: -0.4302 (-0.4291) time: 0.3599 data: 0.0016
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:09:58 (0.359 s / it)
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:09:58 (0.359 s / it)
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:09:58 (0.359 s / it)
[11-25 11:32:12] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.339 (7.339), Lt: 6.810 (6.810), Acc m&t: 1.57 2.36, Remain: 2 days, 8:02:36, Finish: 2024-11-27 03:34
[11-25 11:32:12] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.339 (7.339), Lt: 6.810 (6.810), Acc m&t: 1.57 2.36, Remain: 2 days, 8:04:18, Finish: 2024-11-27 03:36
[11-25 11:32:12] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.339 (7.339), Lt: 6.810 (6.810), Acc m&t: 1.57 2.36, Remain: 2 days, 8:03:20, Finish: 2024-11-27 03:35
[11-25 11:32:12] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.339 (7.339), Lt: 6.810 (6.810), Acc m&t: 1.57 2.36, Remain: 2 days, 8:02:34, Finish: 2024-11-27 03:34
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.44 Lm: 7.153 (7.153) Lt: 6.545 (6.545) Accm: 2.10 (2.10) Acct: 3.24 (3.24) proj_loss: -0.4249 (-0.4249) time: 0.3445 data: 0.0004
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.44 Lm: 7.303 (7.303) Lt: 6.773 (6.773) Accm: 1.68 (1.68) Acct: 2.60 (2.60) proj_loss: -0.4330 (-0.4330) time: 0.3446 data: 0.0003
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.44 Lm: 7.340 (7.340) Lt: 6.787 (6.787) Accm: 1.57 (1.57) Acct: 2.19 (2.19) proj_loss: -0.4357 (-0.4357) time: 0.3450 data: 0.0003
[11-25 11:32:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.44 Lm: 7.220 (7.220) Lt: 6.685 (6.685) Accm: 1.75 (1.75) Acct: 2.38 (2.38) proj_loss: -0.4406 (-0.4406) time: 0.3440 data: 0.0004
[11-25 11:34:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.46 Lm: 7.200 (7.200) Lt: 6.648 (6.648) Accm: 1.81 (1.81) Acct: 2.59 (2.59) proj_loss: -0.4507 (-0.4507) time: 0.3606 data: 0.0002
[11-25 11:34:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.46 Lm: 7.200 (7.200) Lt: 6.626 (6.626) Accm: 2.00 (2.00) Acct: 3.03 (3.03) proj_loss: -0.4322 (-0.4322) time: 0.3606 data: 0.0003
[11-25 11:34:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.46 Lm: 7.265 (7.265) Lt: 6.752 (6.752) Accm: 1.68 (1.68) Acct: 2.58 (2.58) proj_loss: -0.4432 (-0.4432) time: 0.3606 data: 0.0002
[11-25 11:34:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.46 Lm: 7.290 (7.290) Lt: 6.730 (6.730) Accm: 1.71 (1.71) Acct: 2.51 (2.51) proj_loss: -0.4338 (-0.4338) time: 0.3606 data: 0.0003
[11-25 11:37:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.51 Lm: 7.330 (7.304) Lt: 6.741 (6.734) Accm: 1.59 (1.67) Acct: 2.62 (2.55) proj_loss: -0.4319 (-0.4239) time: 0.3580 data: 0.0003
[11-25 11:37:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.51 Lm: 7.303 (7.287) Lt: 6.773 (6.765) Accm: 1.68 (1.65) Acct: 2.57 (2.49) proj_loss: -0.4388 (-0.4418) time: 0.3580 data: 0.0002
[11-25 11:37:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.51 Lm: 7.246 (7.248) Lt: 6.707 (6.685) Accm: 1.89 (1.87) Acct: 2.82 (2.85) proj_loss: -0.4252 (-0.4299) time: 0.3580 data: 0.0002
[11-25 11:37:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.51 Lm: 7.220 (7.257) Lt: 6.685 (6.707) Accm: 1.75 (1.73) Acct: 2.51 (2.57) proj_loss: -0.4406 (-0.4448) time: 0.3580 data: 0.0002
[11-25 11:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:34 tlr: 0.00024 tnm: 0.45 Lm: 7.275 (7.275) Lt: 6.726 (6.722) Accm: 1.68 (1.70) Acct: 2.57 (2.58) proj_loss: -0.4390 (-0.4429) time: 0.4523 data: 0.0002
[11-25 11:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:34 tlr: 0.00024 tnm: 0.45 Lm: 7.231 (7.240) Lt: 6.688 (6.680) Accm: 1.76 (1.81) Acct: 2.69 (2.77) proj_loss: -0.4301 (-0.4311) time: 0.4523 data: 0.0002
[11-25 11:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:34 tlr: 0.00024 tnm: 0.45 Lm: 7.317 (7.328) Lt: 6.782 (6.797) Accm: 1.63 (1.57) Acct: 2.43 (2.41) proj_loss: -0.4359 (-0.4390) time: 0.4523 data: 0.0002
[11-25 11:39:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:34 tlr: 0.00024 tnm: 0.45 Lm: 7.331 (7.311) Lt: 6.764 (6.747) Accm: 1.69 (1.70) Acct: 2.66 (2.59) proj_loss: -0.4338 (-0.4272) time: 0.4523 data: 0.0003
[11-25 11:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.330 (7.311) Lt: 6.787 (6.761) Accm: 1.59 (1.67) Acct: 2.62 (2.55) proj_loss: -0.4357 (-0.4305) time: 0.3562 data: 0.0019
[11-25 11:42:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:11 (0.366 s / it)
[11-25 11:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.303 (7.316) Lt: 6.773 (6.790) Accm: 1.68 (1.59) Acct: 2.29 (2.38) proj_loss: -0.4330 (-0.4368) time: 0.3562 data: 0.0016
[11-25 11:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.234 (7.267) Lt: 6.685 (6.714) Accm: 1.75 (1.75) Acct: 2.62 (2.64) proj_loss: -0.4406 (-0.4428) time: 0.3562 data: 0.0018
[11-25 11:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.49 Lm: 7.246 (7.243) Lt: 6.679 (6.680) Accm: 1.70 (1.79) Acct: 2.55 (2.70) proj_loss: -0.4311 (-0.4311) time: 0.3562 data: 0.0015
[11-25 11:42:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:11 (0.366 s / it)
[11-25 11:42:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:11 (0.366 s / it)
[11-25 11:42:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:11 (0.366 s / it)
[11-25 11:42:23] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.289 (7.289), Lt: 6.744 (6.744), Acc m&t: 1.65 2.47, Remain: 2 days, 7:39:00, Finish: 2024-11-27 03:21
[11-25 11:42:23] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.289 (7.289), Lt: 6.744 (6.744), Acc m&t: 1.65 2.47, Remain: 2 days, 7:40:24, Finish: 2024-11-27 03:22
[11-25 11:42:23] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.289 (7.289), Lt: 6.744 (6.744), Acc m&t: 1.65 2.47, Remain: 2 days, 7:39:49, Finish: 2024-11-27 03:22
[11-25 11:42:23] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.289 (7.289), Lt: 6.744 (6.744), Acc m&t: 1.65 2.47, Remain: 2 days, 7:39:51, Finish: 2024-11-27 03:22
[11-25 11:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.45 Lm: 7.059 (7.059) Lt: 6.462 (6.462) Accm: 2.27 (2.27) Acct: 3.48 (3.48) proj_loss: -0.4290 (-0.4290) time: 0.3432 data: 0.0004
[11-25 11:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.45 Lm: 7.239 (7.239) Lt: 6.710 (6.710) Accm: 1.64 (1.64) Acct: 2.44 (2.44) proj_loss: -0.4284 (-0.4284) time: 0.3443 data: 0.0004
[11-25 11:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.45 Lm: 7.400 (7.400) Lt: 6.875 (6.875) Accm: 1.41 (1.41) Acct: 2.17 (2.17) proj_loss: -0.4471 (-0.4471) time: 0.3443 data: 0.0003
[11-25 11:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:09:35 tlr: 0.00024 tnm: 0.45 Lm: 7.167 (7.167) Lt: 6.612 (6.612) Accm: 2.05 (2.05) Acct: 3.06 (3.06) proj_loss: -0.4370 (-0.4370) time: 0.3447 data: 0.0004
[11-25 11:44:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.45 Lm: 7.188 (7.188) Lt: 6.622 (6.622) Accm: 2.00 (2.00) Acct: 3.00 (3.00) proj_loss: -0.4468 (-0.4468) time: 0.3593 data: 0.0003
[11-25 11:44:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.45 Lm: 7.364 (7.364) Lt: 6.837 (6.837) Accm: 1.48 (1.48) Acct: 2.29 (2.29) proj_loss: -0.4439 (-0.4439) time: 0.3593 data: 0.0002
[11-25 11:44:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.45 Lm: 7.247 (7.247) Lt: 6.667 (6.667) Accm: 1.97 (1.97) Acct: 2.94 (2.94) proj_loss: -0.4341 (-0.4341) time: 0.3593 data: 0.0002
[11-25 11:44:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.45 Lm: 7.249 (7.249) Lt: 6.688 (6.688) Accm: 1.69 (1.69) Acct: 2.50 (2.50) proj_loss: -0.4362 (-0.4362) time: 0.3593 data: 0.0002
[11-25 11:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.41 Lm: 7.258 (7.265) Lt: 6.710 (6.708) Accm: 1.64 (1.64) Acct: 2.44 (2.47) proj_loss: -0.4440 (-0.4457) time: 0.3594 data: 0.0002
[11-25 11:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.41 Lm: 7.347 (7.358) Lt: 6.800 (6.819) Accm: 1.54 (1.52) Acct: 2.39 (2.32) proj_loss: -0.4418 (-0.4432) time: 0.3594 data: 0.0002
[11-25 11:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.41 Lm: 7.209 (7.230) Lt: 6.631 (6.680) Accm: 1.94 (1.89) Acct: 2.94 (2.77) proj_loss: -0.4566 (-0.4513) time: 0.3594 data: 0.0002
[11-25 11:47:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.41 Lm: 7.223 (7.239) Lt: 6.618 (6.651) Accm: 1.68 (1.83) Acct: 2.39 (2.74) proj_loss: -0.4392 (-0.4415) time: 0.3595 data: 0.0002
[11-25 11:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.48 Lm: 7.227 (7.237) Lt: 6.625 (6.646) Accm: 1.73 (1.82) Acct: 2.55 (2.73) proj_loss: -0.4403 (-0.4415) time: 0.3589 data: 0.0002
[11-25 11:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.48 Lm: 7.337 (7.340) Lt: 6.791 (6.787) Accm: 1.58 (1.57) Acct: 2.40 (2.37) proj_loss: -0.4441 (-0.4440) time: 0.3589 data: 0.0002
[11-25 11:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.48 Lm: 7.270 (7.269) Lt: 6.730 (6.719) Accm: 1.69 (1.69) Acct: 2.50 (2.50) proj_loss: -0.4440 (-0.4452) time: 0.3589 data: 0.0002
[11-25 11:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.48 Lm: 7.262 (7.252) Lt: 6.714 (6.718) Accm: 1.81 (1.81) Acct: 2.62 (2.64) proj_loss: -0.4555 (-0.4521) time: 0.3589 data: 0.0002
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.63 Lm: 7.234 (7.249) Lt: 6.681 (6.710) Accm: 1.68 (1.76) Acct: 2.41 (2.59) proj_loss: -0.4544 (-0.4522) time: 0.3618 data: 0.0018
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:09:58 (0.359 s / it)
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.63 Lm: 7.328 (7.316) Lt: 6.781 (6.754) Accm: 1.62 (1.60) Acct: 2.41 (2.41) proj_loss: -0.4464 (-0.4484) time: 0.3618 data: 0.0017
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.63 Lm: 7.258 (7.263) Lt: 6.710 (6.706) Accm: 1.73 (1.71) Acct: 2.55 (2.53) proj_loss: -0.4440 (-0.4484) time: 0.3618 data: 0.0015
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.63 Lm: 7.230 (7.236) Lt: 6.631 (6.645) Accm: 1.78 (1.82) Acct: 2.70 (2.74) proj_loss: -0.4392 (-0.4390) time: 0.3618 data: 0.0017
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:09:58 (0.359 s / it)
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:09:58 (0.359 s / it)
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:09:58 (0.359 s / it)
[11-25 11:52:22] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.286 (7.286), Lt: 6.732 (6.732), Acc m&t: 1.66 2.49, Remain: 2 days, 7:51:17, Finish: 2024-11-27 03:43
[11-25 11:52:22] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.286 (7.286), Lt: 6.732 (6.732), Acc m&t: 1.66 2.49, Remain: 2 days, 7:51:10, Finish: 2024-11-27 03:43
[11-25 11:52:22] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.286 (7.286), Lt: 6.732 (6.732), Acc m&t: 1.66 2.49, Remain: 2 days, 7:49:47, Finish: 2024-11-27 03:42
[11-25 11:52:22] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.286 (7.286), Lt: 6.732 (6.732), Acc m&t: 1.66 2.49, Remain: 2 days, 7:52:29, Finish: 2024-11-27 03:44
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:09:48 tlr: 0.00024 tnm: 0.61 Lm: 7.211 (7.211) Lt: 6.630 (6.630) Accm: 1.68 (1.68) Acct: 2.62 (2.62) proj_loss: -0.4418 (-0.4418) time: 0.3528 data: 0.0004
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:10:21 tlr: 0.00024 tnm: 0.61 Lm: 7.280 (7.280) Lt: 6.748 (6.748) Accm: 1.63 (1.63) Acct: 2.41 (2.41) proj_loss: -0.4506 (-0.4506) time: 0.3725 data: 0.0003
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:09:48 tlr: 0.00024 tnm: 0.61 Lm: 7.096 (7.096) Lt: 6.482 (6.482) Accm: 1.82 (1.82) Acct: 2.94 (2.94) proj_loss: -0.4469 (-0.4469) time: 0.3528 data: 0.0003
[11-25 11:52:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:09:50 tlr: 0.00024 tnm: 0.61 Lm: 7.263 (7.263) Lt: 6.717 (6.717) Accm: 1.83 (1.83) Acct: 2.70 (2.70) proj_loss: -0.4470 (-0.4470) time: 0.3537 data: 0.0003
[11-25 11:54:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.47 Lm: 7.325 (7.325) Lt: 6.774 (6.774) Accm: 1.70 (1.70) Acct: 2.45 (2.45) proj_loss: -0.4473 (-0.4473) time: 0.3585 data: 0.0003
[11-25 11:54:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.47 Lm: 7.192 (7.192) Lt: 6.619 (6.619) Accm: 1.74 (1.74) Acct: 2.55 (2.55) proj_loss: -0.4485 (-0.4485) time: 0.3585 data: 0.0002
[11-25 11:54:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.47 Lm: 7.191 (7.191) Lt: 6.615 (6.615) Accm: 1.79 (1.79) Acct: 2.74 (2.74) proj_loss: -0.4472 (-0.4472) time: 0.3585 data: 0.0002
[11-25 11:54:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.47 Lm: 7.298 (7.298) Lt: 6.765 (6.765) Accm: 1.67 (1.67) Acct: 2.44 (2.44) proj_loss: -0.4506 (-0.4506) time: 0.3585 data: 0.0002
[11-25 11:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.302 (7.299) Lt: 6.748 (6.755) Accm: 1.63 (1.63) Acct: 2.41 (2.42) proj_loss: -0.4506 (-0.4476) time: 0.3559 data: 0.0002
[11-25 11:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.211 (7.200) Lt: 6.630 (6.633) Accm: 1.76 (1.75) Acct: 2.62 (2.57) proj_loss: -0.4552 (-0.4540) time: 0.3559 data: 0.0002
[11-25 11:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.287 (7.240) Lt: 6.749 (6.672) Accm: 1.76 (1.73) Acct: 2.53 (2.60) proj_loss: -0.4469 (-0.4457) time: 0.3559 data: 0.0002
[11-25 11:57:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.340 (7.330) Lt: 6.788 (6.778) Accm: 1.57 (1.64) Acct: 2.41 (2.44) proj_loss: -0.4476 (-0.4482) time: 0.3559 data: 0.0002
[11-25 11:59:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.301 (7.309) Lt: 6.752 (6.746) Accm: 1.70 (1.69) Acct: 2.56 (2.55) proj_loss: -0.4473 (-0.4430) time: 0.3588 data: 0.0002
[11-25 11:59:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.192 (7.173) Lt: 6.619 (6.606) Accm: 1.78 (1.85) Acct: 2.62 (2.79) proj_loss: -0.4593 (-0.4563) time: 0.3588 data: 0.0002
[11-25 11:59:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.292 (7.255) Lt: 6.727 (6.680) Accm: 1.75 (1.73) Acct: 2.65 (2.64) proj_loss: -0.4472 (-0.4488) time: 0.3588 data: 0.0003
[11-25 11:59:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.304 (7.301) Lt: 6.741 (6.741) Accm: 1.59 (1.60) Acct: 2.39 (2.38) proj_loss: -0.4461 (-0.4416) time: 0.3588 data: 0.0002
[11-25 12:02:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.302 (7.280) Lt: 6.734 (6.711) Accm: 1.63 (1.62) Acct: 2.41 (2.43) proj_loss: -0.4506 (-0.4442) time: 0.3604 data: 0.0015
[11-25 12:02:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:09:58 (0.358 s / it)
[11-25 12:02:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.312 (7.310) Lt: 6.729 (6.743) Accm: 1.75 (1.70) Acct: 2.60 (2.56) proj_loss: -0.4470 (-0.4428) time: 0.3604 data: 0.0017
[11-25 12:02:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.287 (7.238) Lt: 6.705 (6.666) Accm: 1.76 (1.79) Acct: 2.77 (2.72) proj_loss: -0.4476 (-0.4506) time: 0.3604 data: 0.0015
[11-25 12:02:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.211 (7.213) Lt: 6.630 (6.650) Accm: 1.76 (1.79) Acct: 2.62 (2.68) proj_loss: -0.4595 (-0.4570) time: 0.3605 data: 0.0019
[11-25 12:02:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:09:58 (0.358 s / it)
[11-25 12:02:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:09:58 (0.358 s / it)
[11-25 12:02:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:09:58 (0.358 s / it)
[11-25 12:02:20] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.256 (7.256), Lt: 6.692 (6.692), Acc m&t: 1.72 2.61, Remain: 2 days, 7:56:01, Finish: 2024-11-27 03:58
[11-25 12:02:20] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.256 (7.256), Lt: 6.692 (6.692), Acc m&t: 1.72 2.61, Remain: 2 days, 7:54:23, Finish: 2024-11-27 03:56
[11-25 12:02:20] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.256 (7.256), Lt: 6.692 (6.692), Acc m&t: 1.72 2.61, Remain: 2 days, 7:57:03, Finish: 2024-11-27 03:59
[11-25 12:02:20] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.256 (7.256), Lt: 6.692 (6.692), Acc m&t: 1.72 2.61, Remain: 2 days, 7:55:34, Finish: 2024-11-27 03:57
[11-25 12:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:10:02 tlr: 0.00024 tnm: 0.41 Lm: 7.247 (7.247) Lt: 6.680 (6.680) Accm: 1.75 (1.75) Acct: 2.69 (2.69) proj_loss: -0.4567 (-0.4567) time: 0.3612 data: 0.0003
[11-25 12:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:10:04 tlr: 0.00024 tnm: 0.41 Lm: 7.174 (7.174) Lt: 6.595 (6.595) Accm: 1.81 (1.81) Acct: 2.89 (2.89) proj_loss: -0.4457 (-0.4457) time: 0.3621 data: 0.0004
[11-25 12:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:10:05 tlr: 0.00024 tnm: 0.41 Lm: 7.305 (7.305) Lt: 6.751 (6.751) Accm: 1.58 (1.58) Acct: 2.43 (2.43) proj_loss: -0.4569 (-0.4569) time: 0.3627 data: 0.0004
[11-25 12:02:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:10:05 tlr: 0.00024 tnm: 0.41 Lm: 7.233 (7.233) Lt: 6.662 (6.662) Accm: 1.86 (1.86) Acct: 2.69 (2.69) proj_loss: -0.4739 (-0.4739) time: 0.3626 data: 0.0004
[11-25 12:04:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.44 Lm: 7.233 (7.233) Lt: 6.673 (6.673) Accm: 1.80 (1.80) Acct: 2.74 (2.74) proj_loss: -0.4602 (-0.4602) time: 0.3573 data: 0.0002
[11-25 12:04:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.44 Lm: 7.247 (7.247) Lt: 6.687 (6.687) Accm: 1.67 (1.67) Acct: 2.61 (2.61) proj_loss: -0.4558 (-0.4558) time: 0.3573 data: 0.0002
[11-25 12:04:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.44 Lm: 7.222 (7.222) Lt: 6.644 (6.644) Accm: 1.90 (1.90) Acct: 3.12 (3.12) proj_loss: -0.4552 (-0.4552) time: 0.3573 data: 0.0002
[11-25 12:04:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.44 Lm: 7.250 (7.250) Lt: 6.688 (6.688) Accm: 1.69 (1.69) Acct: 2.62 (2.62) proj_loss: -0.4548 (-0.4548) time: 0.3573 data: 0.0002
[11-25 12:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.305 (7.270) Lt: 6.747 (6.708) Accm: 1.69 (1.69) Acct: 2.63 (2.62) proj_loss: -0.4541 (-0.4545) time: 0.3574 data: 0.0003
[11-25 12:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.213 (7.219) Lt: 6.657 (6.648) Accm: 1.75 (1.83) Acct: 2.69 (2.96) proj_loss: -0.4546 (-0.4550) time: 0.3574 data: 0.0002
[11-25 12:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.174 (7.214) Lt: 6.595 (6.653) Accm: 1.81 (1.80) Acct: 2.89 (2.75) proj_loss: -0.4574 (-0.4563) time: 0.3574 data: 0.0002
[11-25 12:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.234 (7.241) Lt: 6.670 (6.672) Accm: 1.76 (1.79) Acct: 2.69 (2.70) proj_loss: -0.4650 (-0.4618) time: 0.3574 data: 0.0002
[11-25 12:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:35 tlr: 0.00024 tnm: 0.43 Lm: 7.242 (7.244) Lt: 6.666 (6.667) Accm: 1.76 (1.74) Acct: 2.65 (2.63) proj_loss: -0.4557 (-0.4573) time: 0.3587 data: 0.0003
[11-25 12:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:35 tlr: 0.00024 tnm: 0.43 Lm: 7.221 (7.221) Lt: 6.659 (6.652) Accm: 1.80 (1.83) Acct: 2.74 (2.91) proj_loss: -0.4542 (-0.4545) time: 0.3587 data: 0.0002
[11-25 12:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:35 tlr: 0.00024 tnm: 0.43 Lm: 7.206 (7.220) Lt: 6.621 (6.652) Accm: 1.72 (1.76) Acct: 2.81 (2.75) proj_loss: -0.4614 (-0.4586) time: 0.3587 data: 0.0003
[11-25 12:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:35 tlr: 0.00024 tnm: 0.43 Lm: 7.252 (7.252) Lt: 6.686 (6.679) Accm: 1.75 (1.77) Acct: 2.72 (2.75) proj_loss: -0.4534 (-0.4541) time: 0.3587 data: 0.0003
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.305 (7.267) Lt: 6.725 (6.688) Accm: 1.69 (1.73) Acct: 2.63 (2.70) proj_loss: -0.4541 (-0.4576) time: 0.3577 data: 0.0014
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:14 (0.368 s / it)
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.174 (7.189) Lt: 6.595 (6.621) Accm: 1.81 (1.82) Acct: 2.88 (2.77) proj_loss: -0.4654 (-0.4601) time: 0.3577 data: 0.0015
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.213 (7.211) Lt: 6.657 (6.634) Accm: 1.85 (1.84) Acct: 2.69 (2.87) proj_loss: -0.4546 (-0.4545) time: 0.3578 data: 0.0015
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.250 (7.248) Lt: 6.670 (6.678) Accm: 1.76 (1.76) Acct: 2.69 (2.68) proj_loss: -0.4650 (-0.4594) time: 0.3577 data: 0.0016
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:14 (0.368 s / it)
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:14 (0.368 s / it)
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:14 (0.368 s / it)
[11-25 12:12:35] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.235 (7.235), Lt: 6.660 (6.660), Acc m&t: 1.75 2.68, Remain: 2 days, 7:20:59, Finish: 2024-11-27 03:33
[11-25 12:12:35] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.235 (7.235), Lt: 6.660 (6.660), Acc m&t: 1.75 2.68, Remain: 2 days, 7:22:50, Finish: 2024-11-27 03:35
[11-25 12:12:35] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.235 (7.235), Lt: 6.660 (6.660), Acc m&t: 1.75 2.68, Remain: 2 days, 7:21:39, Finish: 2024-11-27 03:34
[11-25 12:12:35] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.235 (7.235), Lt: 6.660 (6.660), Acc m&t: 1.75 2.68, Remain: 2 days, 7:20:28, Finish: 2024-11-27 03:33
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:09:31 tlr: 0.00024 tnm: 0.42 Lm: 7.283 (7.283) Lt: 6.684 (6.684) Accm: 1.74 (1.74) Acct: 2.77 (2.77) proj_loss: -0.4578 (-0.4578) time: 0.3423 data: 0.0003
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:09:31 tlr: 0.00024 tnm: 0.42 Lm: 7.196 (7.196) Lt: 6.609 (6.609) Accm: 1.71 (1.71) Acct: 2.67 (2.67) proj_loss: -0.4583 (-0.4583) time: 0.3424 data: 0.0003
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:09:31 tlr: 0.00024 tnm: 0.42 Lm: 7.215 (7.215) Lt: 6.657 (6.657) Accm: 1.67 (1.67) Acct: 2.81 (2.81) proj_loss: -0.4528 (-0.4528) time: 0.3426 data: 0.0003
[11-25 12:12:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.42 Lm: 7.293 (7.293) Lt: 6.723 (6.723) Accm: 1.52 (1.52) Acct: 2.29 (2.29) proj_loss: -0.4280 (-0.4280) time: 0.3431 data: 0.0003
[11-25 12:15:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.43 Lm: 7.277 (7.277) Lt: 6.702 (6.702) Accm: 1.54 (1.54) Acct: 2.32 (2.32) proj_loss: -0.4427 (-0.4427) time: 0.3588 data: 0.0003
[11-25 12:15:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.43 Lm: 7.277 (7.277) Lt: 6.710 (6.710) Accm: 1.66 (1.66) Acct: 2.52 (2.52) proj_loss: -0.4624 (-0.4624) time: 0.3588 data: 0.0002
[11-25 12:15:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.43 Lm: 7.215 (7.215) Lt: 6.628 (6.628) Accm: 1.68 (1.68) Acct: 2.75 (2.75) proj_loss: -0.4539 (-0.4539) time: 0.3588 data: 0.0003
[11-25 12:15:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.43 Lm: 7.190 (7.190) Lt: 6.587 (6.587) Accm: 1.83 (1.83) Acct: 2.87 (2.87) proj_loss: -0.4536 (-0.4536) time: 0.3588 data: 0.0002
[11-25 12:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.43 Lm: 7.278 (7.219) Lt: 6.684 (6.628) Accm: 1.74 (1.80) Acct: 2.77 (2.71) proj_loss: -0.4578 (-0.4586) time: 0.3579 data: 0.0002
[11-25 12:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.43 Lm: 7.283 (7.279) Lt: 6.735 (6.718) Accm: 1.71 (1.75) Acct: 2.67 (2.68) proj_loss: -0.4665 (-0.4640) time: 0.3579 data: 0.0002
[11-25 12:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.43 Lm: 7.262 (7.264) Lt: 6.681 (6.678) Accm: 1.56 (1.60) Acct: 2.34 (2.45) proj_loss: -0.4508 (-0.4454) time: 0.3579 data: 0.0003
[11-25 12:17:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.43 Lm: 7.215 (7.214) Lt: 6.640 (6.632) Accm: 1.69 (1.70) Acct: 2.74 (2.75) proj_loss: -0.4551 (-0.4546) time: 0.3579 data: 0.0003
[11-25 12:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.44 Lm: 7.215 (7.239) Lt: 6.648 (6.663) Accm: 1.68 (1.68) Acct: 2.72 (2.66) proj_loss: -0.4556 (-0.4553) time: 0.3597 data: 0.0003
[11-25 12:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.44 Lm: 7.245 (7.261) Lt: 6.681 (6.695) Accm: 1.82 (1.80) Acct: 2.82 (2.75) proj_loss: -0.4669 (-0.4660) time: 0.3597 data: 0.0003
[11-25 12:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.44 Lm: 7.252 (7.221) Lt: 6.683 (6.642) Accm: 1.83 (1.84) Acct: 2.73 (2.70) proj_loss: -0.4565 (-0.4577) time: 0.3597 data: 0.0002
[11-25 12:20:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.44 Lm: 7.249 (7.245) Lt: 6.656 (6.662) Accm: 1.64 (1.65) Acct: 2.47 (2.49) proj_loss: -0.4541 (-0.4493) time: 0.3597 data: 0.0003
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.237 (7.235) Lt: 6.630 (6.645) Accm: 1.73 (1.70) Acct: 2.60 (2.59) proj_loss: -0.4574 (-0.4525) time: 0.3613 data: 0.0019
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:09:57 (0.358 s / it)
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.207 (7.241) Lt: 6.626 (6.670) Accm: 1.92 (1.85) Acct: 2.98 (2.81) proj_loss: -0.4665 (-0.4652) time: 0.3613 data: 0.0016
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.215 (7.212) Lt: 6.640 (6.626) Accm: 1.69 (1.77) Acct: 2.74 (2.74) proj_loss: -0.4551 (-0.4548) time: 0.3613 data: 0.0016
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.45 Lm: 7.226 (7.203) Lt: 6.683 (6.628) Accm: 1.81 (1.84) Acct: 2.69 (2.68) proj_loss: -0.4578 (-0.4596) time: 0.3613 data: 0.0021
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:09:57 (0.358 s / it)
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:09:57 (0.358 s / it)
[11-25 12:22:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:09:57 (0.358 s / it)
[11-25 12:24:35] (home/user/VAR/trainer.py, line 114)=> FID: 12.615687790223205
[11-25 12:24:36] (/home/user/VAR/train.py , line 259)=> [*] [ep19] (val 50000) Lm: 7.2242, Lt: 6.6459, Acc m&t: 1.76 2.68, Val cost: 122.90s
[11-25 12:24:36] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-25 12:24:49] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.224 (7.224), Lt: 6.646 (6.646), Acc m&t: 1.76 2.68, Remain: 2 days, 7:28:45, Finish: 2024-11-27 03:51
[11-25 12:24:49] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.224 (7.224), Lt: 6.646 (6.646), Acc m&t: 1.76 2.68, Remain: 2 days, 7:30:45, Finish: 2024-11-27 03:53
[11-25 12:24:49] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.224 (7.224), Lt: 6.646 (6.646), Acc m&t: 1.76 2.68, Remain: 2 days, 7:29:23, Finish: 2024-11-27 03:51
[11-25 12:24:49] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 7.224 (7.224), Lt: 6.646 (6.646), Acc m&t: 1.76 2.68, Remain: 2 days, 7:28:50, Finish: 2024-11-27 03:51
[11-25 12:24:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:10:38 tlr: 0.00024 tnm: 0.43 Lm: 7.128 (7.128) Lt: 6.524 (6.524) Accm: 1.80 (1.80) Acct: 2.72 (2.72) proj_loss: -0.4476 (-0.4476) time: 0.3826 data: 0.0003
[11-25 12:24:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:10:36 tlr: 0.00024 tnm: 0.43 Lm: 7.101 (7.101) Lt: 6.494 (6.494) Accm: 2.03 (2.03) Acct: 3.10 (3.10) proj_loss: -0.4428 (-0.4428) time: 0.3816 data: 0.0004
[11-25 12:24:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:10:36 tlr: 0.00024 tnm: 0.43 Lm: 7.246 (7.246) Lt: 6.662 (6.662) Accm: 1.88 (1.88) Acct: 2.91 (2.91) proj_loss: -0.4630 (-0.4630) time: 0.3814 data: 0.0003
[11-25 12:24:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:10:38 tlr: 0.00024 tnm: 0.43 Lm: 7.072 (7.072) Lt: 6.501 (6.501) Accm: 1.80 (1.80) Acct: 2.62 (2.62) proj_loss: -0.4706 (-0.4706) time: 0.3824 data: 0.0003
[11-25 12:27:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.45 Lm: 7.130 (7.130) Lt: 6.559 (6.559) Accm: 1.81 (1.81) Acct: 2.62 (2.62) proj_loss: -0.4656 (-0.4656) time: 0.3591 data: 0.0002
[11-25 12:27:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.45 Lm: 7.175 (7.175) Lt: 6.595 (6.595) Accm: 1.80 (1.80) Acct: 2.68 (2.68) proj_loss: -0.4541 (-0.4541) time: 0.3591 data: 0.0002
[11-25 12:27:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.45 Lm: 7.170 (7.170) Lt: 6.574 (6.574) Accm: 2.04 (2.04) Acct: 3.19 (3.19) proj_loss: -0.4620 (-0.4620) time: 0.3591 data: 0.0002
[11-25 12:27:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.45 Lm: 7.134 (7.134) Lt: 6.502 (6.502) Accm: 1.90 (1.90) Acct: 2.89 (2.89) proj_loss: -0.4592 (-0.4592) time: 0.3591 data: 0.0002
[11-25 12:29:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.139 (7.146) Lt: 6.524 (6.536) Accm: 1.84 (1.88) Acct: 2.75 (2.85) proj_loss: -0.4650 (-0.4611) time: 0.3604 data: 0.0002
[11-25 12:29:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.163 (7.171) Lt: 6.564 (6.585) Accm: 1.81 (1.80) Acct: 2.70 (2.69) proj_loss: -0.4654 (-0.4591) time: 0.3604 data: 0.0002
[11-25 12:29:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.246 (7.196) Lt: 6.634 (6.594) Accm: 1.88 (1.87) Acct: 2.91 (2.88) proj_loss: -0.4614 (-0.4618) time: 0.3604 data: 0.0002
[11-25 12:29:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.188 (7.157) Lt: 6.600 (6.573) Accm: 1.83 (1.87) Acct: 2.62 (2.86) proj_loss: -0.4637 (-0.4649) time: 0.3604 data: 0.0003
[11-25 12:32:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.200 (7.197) Lt: 6.609 (6.616) Accm: 1.81 (1.79) Acct: 2.62 (2.72) proj_loss: -0.4621 (-0.4629) time: 0.3610 data: 0.0003
[11-25 12:32:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.196 (7.186) Lt: 6.625 (6.610) Accm: 1.75 (1.78) Acct: 2.51 (2.60) proj_loss: -0.4672 (-0.4616) time: 0.3610 data: 0.0002
[11-25 12:32:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.155 (7.161) Lt: 6.555 (6.549) Accm: 1.92 (1.91) Acct: 2.90 (2.90) proj_loss: -0.4679 (-0.4645) time: 0.3611 data: 0.0002
[11-25 12:32:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.189 (7.180) Lt: 6.578 (6.576) Accm: 1.85 (1.85) Acct: 2.82 (2.85) proj_loss: -0.4622 (-0.4645) time: 0.3610 data: 0.0003
[11-25 12:34:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.143 (7.172) Lt: 6.522 (6.563) Accm: 1.88 (1.86) Acct: 2.91 (2.87) proj_loss: -0.4630 (-0.4648) time: 0.3605 data: 0.0018
[11-25 12:34:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:09:58 (0.359 s / it)
[11-25 12:34:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.230 (7.195) Lt: 6.686 (6.630) Accm: 1.81 (1.83) Acct: 2.70 (2.68) proj_loss: -0.4691 (-0.4633) time: 0.3605 data: 0.0016
[11-25 12:34:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.171 (7.164) Lt: 6.587 (6.562) Accm: 1.91 (1.91) Acct: 2.79 (2.88) proj_loss: -0.4707 (-0.4665) time: 0.3605 data: 0.0014
[11-25 12:34:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.43 Lm: 7.211 (7.220) Lt: 6.617 (6.641) Accm: 1.80 (1.72) Acct: 2.62 (2.62) proj_loss: -0.4637 (-0.4638) time: 0.3605 data: 0.0017
[11-25 12:34:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:09:58 (0.359 s / it)
[11-25 12:34:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:09:58 (0.359 s / it)
[11-25 12:34:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:09:58 (0.359 s / it)
[11-25 12:34:48] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 7.205 (7.205), Lt: 6.622 (6.622), Acc m&t: 1.81 2.75, Remain: 2 days, 7:14:30, Finish: 2024-11-27 03:49
[11-25 12:34:48] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 7.205 (7.205), Lt: 6.622 (6.622), Acc m&t: 1.81 2.75, Remain: 2 days, 7:15:51, Finish: 2024-11-27 03:50
[11-25 12:34:48] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 7.205 (7.205), Lt: 6.622 (6.622), Acc m&t: 1.81 2.75, Remain: 2 days, 7:14:48, Finish: 2024-11-27 03:49
[11-25 12:34:48] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 7.205 (7.205), Lt: 6.622 (6.622), Acc m&t: 1.81 2.75, Remain: 2 days, 7:14:04, Finish: 2024-11-27 03:48
[11-25 12:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:09:48 tlr: 0.00024 tnm: 0.40 Lm: 7.233 (7.233) Lt: 6.656 (6.656) Accm: 1.49 (1.49) Acct: 2.38 (2.38) proj_loss: -0.4621 (-0.4621) time: 0.3524 data: 0.0003
[11-25 12:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:09:39 tlr: 0.00024 tnm: 0.40 Lm: 7.199 (7.199) Lt: 6.643 (6.643) Accm: 1.78 (1.78) Acct: 2.89 (2.89) proj_loss: -0.4831 (-0.4831) time: 0.3472 data: 0.0003
[11-25 12:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:09:40 tlr: 0.00024 tnm: 0.40 Lm: 7.273 (7.273) Lt: 6.699 (6.699) Accm: 1.57 (1.57) Acct: 2.62 (2.62) proj_loss: -0.4714 (-0.4714) time: 0.3479 data: 0.0003
[11-25 12:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:09:40 tlr: 0.00024 tnm: 0.40 Lm: 7.246 (7.246) Lt: 6.647 (6.647) Accm: 1.76 (1.76) Acct: 2.75 (2.75) proj_loss: -0.4384 (-0.4384) time: 0.3478 data: 0.0003
[11-25 12:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.49 Lm: 7.239 (7.239) Lt: 6.649 (6.649) Accm: 1.78 (1.78) Acct: 2.76 (2.76) proj_loss: -0.4561 (-0.4561) time: 0.3569 data: 0.0003
[11-25 12:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.49 Lm: 7.167 (7.167) Lt: 6.614 (6.614) Accm: 1.93 (1.93) Acct: 3.00 (3.00) proj_loss: -0.4686 (-0.4686) time: 0.3569 data: 0.0002
[11-25 12:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.49 Lm: 7.271 (7.271) Lt: 6.669 (6.669) Accm: 1.70 (1.70) Acct: 2.82 (2.82) proj_loss: -0.4681 (-0.4681) time: 0.3569 data: 0.0002
[11-25 12:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.49 Lm: 7.224 (7.224) Lt: 6.644 (6.644) Accm: 1.64 (1.64) Acct: 2.40 (2.40) proj_loss: -0.4641 (-0.4641) time: 0.3569 data: 0.0003
[11-25 12:39:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.216 (7.221) Lt: 6.632 (6.639) Accm: 1.70 (1.66) Acct: 2.43 (2.51) proj_loss: -0.4621 (-0.4628) time: 0.3594 data: 0.0003
[11-25 12:39:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.199 (7.212) Lt: 6.643 (6.660) Accm: 1.78 (1.77) Acct: 2.89 (2.73) proj_loss: -0.4744 (-0.4705) time: 0.3594 data: 0.0002
[11-25 12:39:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.273 (7.292) Lt: 6.699 (6.701) Accm: 1.57 (1.64) Acct: 2.62 (2.69) proj_loss: -0.4714 (-0.4707) time: 0.3594 data: 0.0003
[11-25 12:39:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.43 Lm: 7.246 (7.244) Lt: 6.647 (6.645) Accm: 1.76 (1.75) Acct: 2.75 (2.73) proj_loss: -0.4632 (-0.4585) time: 0.3594 data: 0.0003
[11-25 12:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.239 (7.213) Lt: 6.643 (6.612) Accm: 1.78 (1.84) Acct: 2.76 (2.85) proj_loss: -0.4683 (-0.4622) time: 0.3580 data: 0.0003
[11-25 12:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.169 (7.194) Lt: 6.614 (6.623) Accm: 1.86 (1.81) Acct: 2.91 (2.78) proj_loss: -0.4704 (-0.4695) time: 0.3580 data: 0.0002
[11-25 12:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.224 (7.241) Lt: 6.644 (6.668) Accm: 1.74 (1.70) Acct: 2.47 (2.51) proj_loss: -0.4641 (-0.4660) time: 0.3580 data: 0.0002
[11-25 12:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.42 Lm: 7.288 (7.295) Lt: 6.723 (6.712) Accm: 1.54 (1.60) Acct: 2.52 (2.55) proj_loss: -0.4681 (-0.4666) time: 0.3580 data: 0.0002
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.41 Lm: 7.273 (7.268) Lt: 6.699 (6.685) Accm: 1.57 (1.66) Acct: 2.62 (2.62) proj_loss: -0.4714 (-0.4683) time: 0.3583 data: 0.0015
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:09:57 (0.358 s / it)
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.41 Lm: 7.233 (7.241) Lt: 6.632 (6.656) Accm: 1.79 (1.74) Acct: 2.51 (2.59) proj_loss: -0.4621 (-0.4607) time: 0.3583 data: 0.0018
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.41 Lm: 7.199 (7.196) Lt: 6.643 (6.629) Accm: 1.85 (1.82) Acct: 2.89 (2.77) proj_loss: -0.4744 (-0.4722) time: 0.3583 data: 0.0018
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.41 Lm: 7.232 (7.211) Lt: 6.638 (6.604) Accm: 1.81 (1.83) Acct: 2.77 (2.85) proj_loss: -0.4651 (-0.4628) time: 0.3583 data: 0.0016
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:09:57 (0.358 s / it)
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:09:57 (0.358 s / it)
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:09:57 (0.358 s / it)
[11-25 12:44:46] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 7.192 (7.192), Lt: 6.599 (6.599), Acc m&t: 1.84 2.82, Remain: 2 days, 6:43:47, Finish: 2024-11-27 03:28
[11-25 12:44:46] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 7.192 (7.192), Lt: 6.599 (6.599), Acc m&t: 1.84 2.82, Remain: 2 days, 6:44:52, Finish: 2024-11-27 03:29
[11-25 12:44:46] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 7.192 (7.192), Lt: 6.599 (6.599), Acc m&t: 1.84 2.82, Remain: 2 days, 6:44:58, Finish: 2024-11-27 03:29
[11-25 12:44:46] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 7.192 (7.192), Lt: 6.599 (6.599), Acc m&t: 1.84 2.82, Remain: 2 days, 6:44:27, Finish: 2024-11-27 03:29
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:09:33 tlr: 0.00024 tnm: 0.42 Lm: 7.071 (7.071) Lt: 6.462 (6.462) Accm: 2.25 (2.25) Acct: 3.29 (3.29) proj_loss: -0.4643 (-0.4643) time: 0.3439 data: 0.0003
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.42 Lm: 7.254 (7.254) Lt: 6.678 (6.678) Accm: 1.70 (1.70) Acct: 2.63 (2.63) proj_loss: -0.4723 (-0.4723) time: 0.3439 data: 0.0003
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.42 Lm: 7.254 (7.254) Lt: 6.677 (6.677) Accm: 1.80 (1.80) Acct: 2.84 (2.84) proj_loss: -0.4712 (-0.4712) time: 0.3442 data: 0.0003
[11-25 12:44:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:09:34 tlr: 0.00024 tnm: 0.42 Lm: 7.038 (7.038) Lt: 6.427 (6.427) Accm: 2.03 (2.03) Acct: 2.77 (2.77) proj_loss: -0.4677 (-0.4677) time: 0.3444 data: 0.0003
[11-25 12:47:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.44 Lm: 7.110 (7.110) Lt: 6.526 (6.526) Accm: 1.94 (1.94) Acct: 2.79 (2.79) proj_loss: -0.4662 (-0.4662) time: 0.3585 data: 0.0003
[11-25 12:47:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.44 Lm: 7.256 (7.256) Lt: 6.683 (6.683) Accm: 1.70 (1.70) Acct: 2.66 (2.66) proj_loss: -0.4615 (-0.4615) time: 0.3585 data: 0.0002
[11-25 12:47:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.44 Lm: 7.135 (7.135) Lt: 6.534 (6.534) Accm: 1.92 (1.92) Acct: 2.95 (2.95) proj_loss: -0.4809 (-0.4809) time: 0.3585 data: 0.0003
[11-25 12:47:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.44 Lm: 7.139 (7.139) Lt: 6.527 (6.527) Accm: 1.93 (1.93) Acct: 2.86 (2.86) proj_loss: -0.4730 (-0.4730) time: 0.3585 data: 0.0002
[11-25 12:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.38 Lm: 7.206 (7.193) Lt: 6.593 (6.594) Accm: 1.68 (1.84) Acct: 2.50 (2.74) proj_loss: -0.4765 (-0.4742) time: 0.3583 data: 0.0002
[11-25 12:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.38 Lm: 7.254 (7.242) Lt: 6.678 (6.670) Accm: 1.70 (1.68) Acct: 2.63 (2.61) proj_loss: -0.4696 (-0.4642) time: 0.3583 data: 0.0002
[11-25 12:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.38 Lm: 7.177 (7.132) Lt: 6.585 (6.546) Accm: 1.86 (1.85) Acct: 2.77 (2.74) proj_loss: -0.4677 (-0.4726) time: 0.3583 data: 0.0003
[11-25 12:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.38 Lm: 7.252 (7.174) Lt: 6.677 (6.585) Accm: 1.80 (1.81) Acct: 2.84 (2.73) proj_loss: -0.4889 (-0.4836) time: 0.3583 data: 0.0002
[11-25 12:52:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.39 Lm: 7.242 (7.189) Lt: 6.675 (6.607) Accm: 1.84 (1.83) Acct: 2.84 (2.76) proj_loss: -0.4845 (-0.4827) time: 0.4035 data: 0.0002
[11-25 12:52:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.39 Lm: 7.234 (7.209) Lt: 6.662 (6.631) Accm: 1.70 (1.75) Acct: 2.66 (2.72) proj_loss: -0.4709 (-0.4662) time: 0.4035 data: 0.0002
[11-25 12:52:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.39 Lm: 7.179 (7.158) Lt: 6.605 (6.569) Accm: 1.76 (1.79) Acct: 2.71 (2.63) proj_loss: -0.4759 (-0.4755) time: 0.4035 data: 0.0003
[11-25 12:52:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.39 Lm: 7.139 (7.147) Lt: 6.527 (6.551) Accm: 1.82 (1.87) Acct: 2.86 (2.86) proj_loss: -0.4739 (-0.4734) time: 0.4035 data: 0.0002
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.206 (7.183) Lt: 6.593 (6.596) Accm: 1.68 (1.78) Acct: 2.50 (2.71) proj_loss: -0.4713 (-0.4703) time: 0.3599 data: 0.0017
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:03 (0.361 s / it)
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.213 (7.196) Lt: 6.646 (6.619) Accm: 1.71 (1.76) Acct: 2.63 (2.69) proj_loss: -0.4723 (-0.4690) time: 0.3599 data: 0.0019
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.182 (7.185) Lt: 6.625 (6.597) Accm: 1.66 (1.74) Acct: 2.65 (2.54) proj_loss: -0.4677 (-0.4735) time: 0.3599 data: 0.0018
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.233 (7.193) Lt: 6.673 (6.609) Accm: 1.80 (1.81) Acct: 2.84 (2.73) proj_loss: -0.4801 (-0.4811) time: 0.3599 data: 0.0015
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:03 (0.361 s / it)
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:03 (0.361 s / it)
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:03 (0.361 s / it)
[11-25 12:54:49] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 7.178 (7.178), Lt: 6.586 (6.586), Acc m&t: 1.86 2.83, Remain: 2 days, 6:38:04, Finish: 2024-11-27 03:32
[11-25 12:54:49] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 7.178 (7.178), Lt: 6.586 (6.586), Acc m&t: 1.86 2.83, Remain: 2 days, 6:39:33, Finish: 2024-11-27 03:34
[11-25 12:54:49] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 7.178 (7.178), Lt: 6.586 (6.586), Acc m&t: 1.86 2.83, Remain: 2 days, 6:38:39, Finish: 2024-11-27 03:33
[11-25 12:54:49] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 7.178 (7.178), Lt: 6.586 (6.586), Acc m&t: 1.86 2.83, Remain: 2 days, 6:39:15, Finish: 2024-11-27 03:34
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:06 tlr: 0.00024 tnm: 0.40 Lm: 7.177 (7.177) Lt: 6.553 (6.553) Accm: 1.98 (1.98) Acct: 3.24 (3.24) proj_loss: -0.4605 (-0.4605) time: 0.3632 data: 0.0003
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:05 tlr: 0.00024 tnm: 0.40 Lm: 7.211 (7.211) Lt: 6.639 (6.639) Accm: 1.89 (1.89) Acct: 2.96 (2.96) proj_loss: -0.4782 (-0.4782) time: 0.3626 data: 0.0004
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:05 tlr: 0.00024 tnm: 0.40 Lm: 7.171 (7.171) Lt: 6.561 (6.561) Accm: 1.96 (1.96) Acct: 3.01 (3.01) proj_loss: -0.4747 (-0.4747) time: 0.3628 data: 0.0003
[11-25 12:54:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:06 tlr: 0.00024 tnm: 0.40 Lm: 7.154 (7.154) Lt: 6.579 (6.579) Accm: 1.99 (1.99) Acct: 3.10 (3.10) proj_loss: -0.4627 (-0.4627) time: 0.3634 data: 0.0004
[11-25 12:57:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.40 Lm: 7.150 (7.150) Lt: 6.594 (6.594) Accm: 1.98 (1.98) Acct: 3.06 (3.06) proj_loss: -0.4790 (-0.4790) time: 0.3597 data: 0.0002
[11-25 12:57:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.40 Lm: 7.182 (7.182) Lt: 6.584 (6.584) Accm: 1.86 (1.86) Acct: 2.94 (2.94) proj_loss: -0.4764 (-0.4764) time: 0.3597 data: 0.0002
[11-25 12:57:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.40 Lm: 7.167 (7.167) Lt: 6.567 (6.567) Accm: 1.94 (1.94) Acct: 3.10 (3.10) proj_loss: -0.4730 (-0.4730) time: 0.3597 data: 0.0002
[11-25 12:57:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.40 Lm: 7.173 (7.173) Lt: 6.551 (6.551) Accm: 1.93 (1.93) Acct: 3.02 (3.02) proj_loss: -0.4728 (-0.4728) time: 0.3597 data: 0.0002
[11-25 12:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.43 Lm: 7.171 (7.148) Lt: 6.542 (6.524) Accm: 1.96 (1.97) Acct: 3.03 (3.19) proj_loss: -0.4747 (-0.4777) time: 0.3595 data: 0.0002
[11-25 12:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.43 Lm: 7.153 (7.170) Lt: 6.565 (6.578) Accm: 1.89 (1.87) Acct: 2.96 (2.95) proj_loss: -0.4782 (-0.4823) time: 0.3595 data: 0.0002
[11-25 12:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.43 Lm: 7.154 (7.160) Lt: 6.579 (6.584) Accm: 1.97 (1.94) Acct: 3.01 (3.01) proj_loss: -0.4867 (-0.4816) time: 0.3595 data: 0.0003
[11-25 12:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.43 Lm: 7.157 (7.147) Lt: 6.553 (6.535) Accm: 1.98 (1.99) Acct: 3.24 (3.20) proj_loss: -0.4605 (-0.4682) time: 0.3595 data: 0.0002
[11-25 13:02:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.40 Lm: 7.167 (7.178) Lt: 6.567 (6.570) Accm: 1.94 (1.87) Acct: 3.10 (3.06) proj_loss: -0.4665 (-0.4693) time: 0.3599 data: 0.0002
[11-25 13:02:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.40 Lm: 7.133 (7.126) Lt: 6.506 (6.508) Accm: 2.01 (2.00) Acct: 3.06 (3.16) proj_loss: -0.4728 (-0.4744) time: 0.3599 data: 0.0002
[11-25 13:02:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.40 Lm: 7.168 (7.176) Lt: 6.594 (6.599) Accm: 1.92 (1.91) Acct: 2.97 (2.90) proj_loss: -0.4818 (-0.4804) time: 0.3599 data: 0.0003
[11-25 13:02:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.40 Lm: 7.182 (7.183) Lt: 6.602 (6.598) Accm: 1.86 (1.86) Acct: 2.94 (2.87) proj_loss: -0.4780 (-0.4812) time: 0.3599 data: 0.0003
[11-25 13:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.153 (7.160) Lt: 6.565 (6.568) Accm: 1.89 (1.90) Acct: 2.96 (2.90) proj_loss: -0.4782 (-0.4806) time: 0.3606 data: 0.0017
[11-25 13:04:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:09:58 (0.359 s / it)
[11-25 13:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.170 (7.135) Lt: 6.542 (6.527) Accm: 1.96 (1.98) Acct: 3.03 (3.08) proj_loss: -0.4747 (-0.4791) time: 0.3606 data: 0.0017
[11-25 13:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.177 (7.201) Lt: 6.581 (6.598) Accm: 1.89 (1.83) Acct: 2.96 (2.94) proj_loss: -0.4726 (-0.4705) time: 0.3606 data: 0.0015
[11-25 13:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.182 (7.189) Lt: 6.609 (6.613) Accm: 1.87 (1.86) Acct: 2.93 (2.80) proj_loss: -0.4769 (-0.4783) time: 0.3606 data: 0.0017
[11-25 13:04:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:09:58 (0.359 s / it)
[11-25 13:04:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:09:58 (0.359 s / it)
[11-25 13:04:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:09:58 (0.359 s / it)
[11-25 13:04:47] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 7.162 (7.162), Lt: 6.564 (6.564), Acc m&t: 1.90 2.92, Remain: 2 days, 6:43:46, Finish: 2024-11-27 03:48
[11-25 13:04:47] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 7.162 (7.162), Lt: 6.564 (6.564), Acc m&t: 1.90 2.92, Remain: 2 days, 6:44:03, Finish: 2024-11-27 03:48
[11-25 13:04:47] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 7.162 (7.162), Lt: 6.564 (6.564), Acc m&t: 1.90 2.92, Remain: 2 days, 6:43:31, Finish: 2024-11-27 03:48
[11-25 13:04:47] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 7.162 (7.162), Lt: 6.564 (6.564), Acc m&t: 1.90 2.92, Remain: 2 days, 6:44:38, Finish: 2024-11-27 03:49
[11-25 13:04:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:09:45 tlr: 0.00024 tnm: 0.43 Lm: 7.209 (7.209) Lt: 6.620 (6.620) Accm: 1.97 (1.97) Acct: 3.00 (3.00) proj_loss: -0.4773 (-0.4773) time: 0.3505 data: 0.0003
[11-25 13:04:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:09:46 tlr: 0.00024 tnm: 0.43 Lm: 7.057 (7.057) Lt: 6.383 (6.383) Accm: 1.97 (1.97) Acct: 3.32 (3.32) proj_loss: -0.4636 (-0.4636) time: 0.3515 data: 0.0003
[11-25 13:04:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:09:47 tlr: 0.00024 tnm: 0.43 Lm: 7.196 (7.196) Lt: 6.593 (6.593) Accm: 1.86 (1.86) Acct: 2.60 (2.60) proj_loss: -0.4810 (-0.4810) time: 0.3522 data: 0.0003
[11-25 13:04:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:09:47 tlr: 0.00024 tnm: 0.43 Lm: 6.974 (6.974) Lt: 6.383 (6.383) Accm: 2.34 (2.34) Acct: 3.50 (3.50) proj_loss: -0.4887 (-0.4887) time: 0.3521 data: 0.0003
[11-25 13:07:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.36 Lm: 7.085 (7.085) Lt: 6.495 (6.495) Accm: 2.05 (2.05) Acct: 3.09 (3.09) proj_loss: -0.4812 (-0.4812) time: 0.3618 data: 0.0002
[11-25 13:07:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.36 Lm: 7.138 (7.138) Lt: 6.523 (6.523) Accm: 2.06 (2.06) Acct: 3.14 (3.14) proj_loss: -0.4804 (-0.4804) time: 0.3618 data: 0.0002
[11-25 13:07:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.36 Lm: 7.066 (7.066) Lt: 6.417 (6.417) Accm: 2.00 (2.00) Acct: 3.31 (3.31) proj_loss: -0.4837 (-0.4837) time: 0.3618 data: 0.0003
[11-25 13:07:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.36 Lm: 7.143 (7.143) Lt: 6.523 (6.523) Accm: 1.96 (1.96) Acct: 2.93 (2.93) proj_loss: -0.4729 (-0.4729) time: 0.3618 data: 0.0002
[11-25 13:09:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.37 Lm: 7.176 (7.154) Lt: 6.554 (6.533) Accm: 1.97 (1.96) Acct: 3.00 (2.95) proj_loss: -0.4810 (-0.4774) time: 0.3557 data: 0.0004
[11-25 13:09:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.37 Lm: 7.176 (7.151) Lt: 6.567 (6.537) Accm: 1.97 (2.00) Acct: 3.00 (3.06) proj_loss: -0.4773 (-0.4773) time: 0.3557 data: 0.0002
[11-25 13:09:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.37 Lm: 7.075 (7.072) Lt: 6.445 (6.426) Accm: 2.03 (2.03) Acct: 3.31 (3.30) proj_loss: -0.4636 (-0.4745) time: 0.3557 data: 0.0002
[11-25 13:09:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.37 Lm: 7.155 (7.109) Lt: 6.548 (6.513) Accm: 2.00 (2.03) Acct: 3.05 (3.08) proj_loss: -0.4738 (-0.4755) time: 0.3557 data: 0.0003
[11-25 13:12:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.41 Lm: 7.152 (7.118) Lt: 6.517 (6.506) Accm: 2.09 (2.07) Acct: 3.27 (3.19) proj_loss: -0.4789 (-0.4776) time: 0.3576 data: 0.0002
[11-25 13:12:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.41 Lm: 7.079 (7.077) Lt: 6.445 (6.431) Accm: 2.00 (2.01) Acct: 3.29 (3.24) proj_loss: -0.4770 (-0.4785) time: 0.3576 data: 0.0002
[11-25 13:12:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.41 Lm: 7.182 (7.162) Lt: 6.557 (6.540) Accm: 1.99 (1.97) Acct: 3.04 (2.98) proj_loss: -0.4806 (-0.4781) time: 0.3576 data: 0.0002
[11-25 13:12:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.41 Lm: 7.137 (7.137) Lt: 6.536 (6.529) Accm: 2.00 (2.01) Acct: 2.95 (3.02) proj_loss: -0.4747 (-0.4760) time: 0.3576 data: 0.0002
[11-25 13:14:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.098 (7.127) Lt: 6.505 (6.516) Accm: 1.97 (1.99) Acct: 2.91 (3.00) proj_loss: -0.4773 (-0.4805) time: 0.3598 data: 0.0017
[11-25 13:14:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:09:56 (0.358 s / it)
[11-25 13:14:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.084 (7.093) Lt: 6.446 (6.454) Accm: 1.97 (2.00) Acct: 3.27 (3.24) proj_loss: -0.4811 (-0.4790) time: 0.3598 data: 0.0017
[11-25 13:14:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.176 (7.140) Lt: 6.554 (6.508) Accm: 2.00 (2.04) Acct: 3.08 (3.15) proj_loss: -0.4810 (-0.4787) time: 0.3598 data: 0.0018
[11-25 13:14:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.148 (7.105) Lt: 6.486 (6.482) Accm: 2.18 (2.09) Acct: 3.50 (3.28) proj_loss: -0.4839 (-0.4791) time: 0.3598 data: 0.0015
[11-25 13:14:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:09:56 (0.358 s / it)
[11-25 13:14:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:09:56 (0.358 s / it)
[11-25 13:14:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:09:56 (0.358 s / it)
[11-25 13:14:44] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 7.147 (7.147), Lt: 6.542 (6.542), Acc m&t: 1.92 2.97, Remain: 2 days, 6:37:37, Finish: 2024-11-27 03:52
[11-25 13:14:44] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 7.147 (7.147), Lt: 6.542 (6.542), Acc m&t: 1.92 2.97, Remain: 2 days, 6:34:40, Finish: 2024-11-27 03:49
[11-25 13:14:44] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 7.147 (7.147), Lt: 6.542 (6.542), Acc m&t: 1.92 2.97, Remain: 2 days, 6:33:37, Finish: 2024-11-27 03:48
[11-25 13:14:44] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 7.147 (7.147), Lt: 6.542 (6.542), Acc m&t: 1.92 2.97, Remain: 2 days, 6:35:42, Finish: 2024-11-27 03:50
[11-25 13:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:09:49 tlr: 0.00024 tnm: 0.38 Lm: 7.107 (7.107) Lt: 6.488 (6.488) Accm: 2.11 (2.11) Acct: 3.22 (3.22) proj_loss: -0.4844 (-0.4844) time: 0.3531 data: 0.0003
[11-25 13:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:09:49 tlr: 0.00024 tnm: 0.38 Lm: 7.213 (7.213) Lt: 6.637 (6.637) Accm: 1.76 (1.76) Acct: 2.70 (2.70) proj_loss: -0.4878 (-0.4878) time: 0.3530 data: 0.0003
[11-25 13:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:09:46 tlr: 0.00024 tnm: 0.38 Lm: 7.128 (7.128) Lt: 6.535 (6.535) Accm: 2.08 (2.08) Acct: 3.03 (3.03) proj_loss: -0.4746 (-0.4746) time: 0.3513 data: 0.0003
[11-25 13:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:09:41 tlr: 0.00024 tnm: 0.38 Lm: 7.141 (7.141) Lt: 6.512 (6.512) Accm: 1.83 (1.83) Acct: 2.58 (2.58) proj_loss: -0.4778 (-0.4778) time: 0.3481 data: 0.0004
[11-25 13:17:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.42 Lm: 7.113 (7.113) Lt: 6.486 (6.486) Accm: 1.99 (1.99) Acct: 2.86 (2.86) proj_loss: -0.4844 (-0.4844) time: 0.3594 data: 0.0003
[11-25 13:17:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.42 Lm: 7.074 (7.074) Lt: 6.449 (6.449) Accm: 2.21 (2.21) Acct: 3.45 (3.45) proj_loss: -0.4862 (-0.4862) time: 0.3594 data: 0.0002
[11-25 13:17:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.42 Lm: 7.188 (7.188) Lt: 6.598 (6.598) Accm: 1.89 (1.89) Acct: 2.85 (2.85) proj_loss: -0.4836 (-0.4836) time: 0.3594 data: 0.0002
[11-25 13:17:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.42 Lm: 7.203 (7.203) Lt: 6.616 (6.616) Accm: 1.80 (1.80) Acct: 2.72 (2.72) proj_loss: -0.4829 (-0.4829) time: 0.3594 data: 0.0003
[11-25 13:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.39 Lm: 7.194 (7.176) Lt: 6.594 (6.570) Accm: 1.84 (1.84) Acct: 2.74 (2.81) proj_loss: -0.4878 (-0.4858) time: 0.3595 data: 0.0002
[11-25 13:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.39 Lm: 7.041 (7.025) Lt: 6.411 (6.376) Accm: 2.31 (2.36) Acct: 3.68 (3.77) proj_loss: -0.4844 (-0.4839) time: 0.3595 data: 0.0002
[11-25 13:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.39 Lm: 7.146 (7.174) Lt: 6.590 (6.595) Accm: 1.88 (1.88) Acct: 2.88 (2.86) proj_loss: -0.4779 (-0.4817) time: 0.3595 data: 0.0003
[11-25 13:19:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.39 Lm: 7.124 (7.117) Lt: 6.507 (6.493) Accm: 1.95 (1.98) Acct: 3.12 (2.94) proj_loss: -0.4910 (-0.4889) time: 0.3595 data: 0.0002
[11-25 13:22:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.38 Lm: 7.133 (7.129) Lt: 6.510 (6.509) Accm: 1.94 (1.97) Acct: 3.10 (2.98) proj_loss: -0.4852 (-0.4865) time: 0.3578 data: 0.0002
[11-25 13:22:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.38 Lm: 7.033 (7.025) Lt: 6.402 (6.381) Accm: 2.32 (2.35) Acct: 3.73 (3.77) proj_loss: -0.4862 (-0.4860) time: 0.3578 data: 0.0002
[11-25 13:22:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.38 Lm: 7.180 (7.184) Lt: 6.613 (6.605) Accm: 1.83 (1.86) Acct: 2.88 (2.87) proj_loss: -0.4852 (-0.4845) time: 0.3578 data: 0.0002
[11-25 13:22:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.38 Lm: 7.184 (7.176) Lt: 6.580 (6.569) Accm: 1.80 (1.82) Acct: 2.73 (2.79) proj_loss: -0.4843 (-0.4845) time: 0.3578 data: 0.0002
[11-25 13:24:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.194 (7.197) Lt: 6.594 (6.599) Accm: 1.77 (1.81) Acct: 2.74 (2.78) proj_loss: -0.4878 (-0.4868) time: 0.3593 data: 0.0018
[11-25 13:24:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:06 (0.364 s / it)
[11-25 13:24:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.041 (7.033) Lt: 6.394 (6.382) Accm: 2.31 (2.30) Acct: 3.68 (3.65) proj_loss: -0.4844 (-0.4831) time: 0.3593 data: 0.0018
[11-25 13:24:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.146 (7.146) Lt: 6.590 (6.554) Accm: 1.88 (1.89) Acct: 2.89 (2.91) proj_loss: -0.4913 (-0.4859) time: 0.3593 data: 0.0015
[11-25 13:24:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.141 (7.142) Lt: 6.512 (6.526) Accm: 1.94 (1.94) Acct: 3.08 (2.96) proj_loss: -0.4810 (-0.4854) time: 0.3593 data: 0.0018
[11-25 13:24:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:06 (0.364 s / it)
[11-25 13:24:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:06 (0.364 s / it)
[11-25 13:24:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:06 (0.364 s / it)
[11-25 13:24:51] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 7.147 (7.150), Lt: 6.542 (6.542), Acc m&t: 1.92 2.97, Remain: 2 days, 6:21:53, Finish: 2024-11-27 03:46
[11-25 13:24:51] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 7.147 (7.150), Lt: 6.542 (6.542), Acc m&t: 1.92 2.97, Remain: 2 days, 6:22:13, Finish: 2024-11-27 03:47
[11-25 13:24:51] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 7.147 (7.150), Lt: 6.542 (6.542), Acc m&t: 1.92 2.97, Remain: 2 days, 6:23:35, Finish: 2024-11-27 03:48
[11-25 13:24:51] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 7.147 (7.150), Lt: 6.542 (6.542), Acc m&t: 1.92 2.97, Remain: 2 days, 6:22:54, Finish: 2024-11-27 03:47
[11-25 13:24:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:09:47 tlr: 0.00024 tnm: 0.35 Lm: 7.171 (7.171) Lt: 6.482 (6.482) Accm: 1.95 (1.95) Acct: 3.12 (3.12) proj_loss: -0.4655 (-0.4655) time: 0.3518 data: 0.0003
[11-25 13:24:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:09:46 tlr: 0.00024 tnm: 0.35 Lm: 7.229 (7.229) Lt: 6.626 (6.626) Accm: 1.92 (1.92) Acct: 2.91 (2.91) proj_loss: -0.4841 (-0.4841) time: 0.3512 data: 0.0004
[11-25 13:24:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:09:46 tlr: 0.00024 tnm: 0.35 Lm: 7.196 (7.196) Lt: 6.558 (6.558) Accm: 1.91 (1.91) Acct: 2.96 (2.96) proj_loss: -0.4740 (-0.4740) time: 0.3515 data: 0.0003
[11-25 13:24:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:09:46 tlr: 0.00024 tnm: 0.35 Lm: 7.139 (7.139) Lt: 6.536 (6.536) Accm: 2.00 (2.00) Acct: 3.06 (3.06) proj_loss: -0.4780 (-0.4780) time: 0.3516 data: 0.0003
[11-25 13:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.42 Lm: 7.108 (7.108) Lt: 6.482 (6.482) Accm: 2.03 (2.03) Acct: 3.13 (3.13) proj_loss: -0.4781 (-0.4781) time: 0.3567 data: 0.0002
[11-25 13:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.42 Lm: 7.152 (7.152) Lt: 6.492 (6.492) Accm: 1.87 (1.87) Acct: 2.88 (2.88) proj_loss: -0.4694 (-0.4694) time: 0.3567 data: 0.0002
[11-25 13:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.42 Lm: 7.158 (7.158) Lt: 6.539 (6.539) Accm: 1.95 (1.95) Acct: 3.10 (3.10) proj_loss: -0.4801 (-0.4801) time: 0.3567 data: 0.0002
[11-25 13:27:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.42 Lm: 7.167 (7.167) Lt: 6.527 (6.527) Accm: 1.88 (1.88) Acct: 3.04 (3.04) proj_loss: -0.4779 (-0.4779) time: 0.3567 data: 0.0003
[11-25 13:29:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.42 Lm: 7.196 (7.180) Lt: 6.558 (6.553) Accm: 1.85 (1.83) Acct: 2.96 (2.89) proj_loss: -0.4817 (-0.4791) time: 0.3593 data: 0.0003
[11-25 13:29:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.42 Lm: 7.134 (7.118) Lt: 6.482 (6.461) Accm: 1.86 (1.87) Acct: 2.94 (2.90) proj_loss: -0.4733 (-0.4711) time: 0.3593 data: 0.0002
[11-25 13:29:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.42 Lm: 7.169 (7.162) Lt: 6.603 (6.560) Accm: 1.97 (1.96) Acct: 2.91 (3.04) proj_loss: -0.4824 (-0.4809) time: 0.3593 data: 0.0003
[11-25 13:29:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.42 Lm: 7.078 (7.080) Lt: 6.428 (6.463) Accm: 2.00 (2.00) Acct: 3.06 (3.03) proj_loss: -0.4782 (-0.4800) time: 0.3593 data: 0.0003
[11-25 13:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.39 Lm: 7.108 (7.122) Lt: 6.482 (6.517) Accm: 1.97 (1.93) Acct: 2.94 (2.90) proj_loss: -0.4793 (-0.4801) time: 0.3585 data: 0.0002
[11-25 13:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.39 Lm: 7.152 (7.158) Lt: 6.492 (6.530) Accm: 1.82 (1.81) Acct: 2.79 (2.73) proj_loss: -0.4739 (-0.4766) time: 0.3585 data: 0.0002
[11-25 13:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.39 Lm: 7.199 (7.182) Lt: 6.614 (6.585) Accm: 1.94 (1.90) Acct: 2.91 (2.94) proj_loss: -0.4832 (-0.4845) time: 0.3585 data: 0.0002
[11-25 13:32:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.39 Lm: 7.167 (7.164) Lt: 6.527 (6.536) Accm: 1.88 (1.88) Acct: 3.04 (2.97) proj_loss: -0.4785 (-0.4782) time: 0.3585 data: 0.0002
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.162 (7.163) Lt: 6.499 (6.529) Accm: 1.85 (1.85) Acct: 2.96 (2.91) proj_loss: -0.4817 (-0.4797) time: 0.3585 data: 0.0019
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:09:57 (0.358 s / it)
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.169 (7.177) Lt: 6.603 (6.568) Accm: 1.92 (1.88) Acct: 2.91 (2.93) proj_loss: -0.4824 (-0.4833) time: 0.3585 data: 0.0016
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.134 (7.150) Lt: 6.482 (6.518) Accm: 1.86 (1.87) Acct: 2.94 (2.85) proj_loss: -0.4733 (-0.4740) time: 0.3585 data: 0.0018
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.139 (7.135) Lt: 6.536 (6.533) Accm: 1.94 (1.93) Acct: 2.82 (2.88) proj_loss: -0.4803 (-0.4824) time: 0.3585 data: 0.0017
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:09:57 (0.358 s / it)
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:09:57 (0.358 s / it)
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:09:57 (0.358 s / it)
[11-25 13:34:49] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 7.145 (7.145), Lt: 6.532 (6.532), Acc m&t: 1.92 2.97, Remain: 2 days, 6:09:04, Finish: 2024-11-27 03:43
[11-25 13:34:49] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 7.145 (7.145), Lt: 6.532 (6.532), Acc m&t: 1.92 2.97, Remain: 2 days, 6:09:47, Finish: 2024-11-27 03:44
[11-25 13:34:49] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 7.145 (7.145), Lt: 6.532 (6.532), Acc m&t: 1.92 2.97, Remain: 2 days, 6:10:26, Finish: 2024-11-27 03:45
[11-25 13:34:49] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 7.145 (7.145), Lt: 6.532 (6.532), Acc m&t: 1.92 2.97, Remain: 2 days, 6:11:21, Finish: 2024-11-27 03:46
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:09:31 tlr: 0.00024 tnm: 0.41 Lm: 7.171 (7.171) Lt: 6.530 (6.530) Accm: 1.95 (1.95) Acct: 3.10 (3.10) proj_loss: -0.5042 (-0.5042) time: 0.3423 data: 0.0003
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.41 Lm: 6.980 (6.980) Lt: 6.378 (6.378) Accm: 2.39 (2.39) Acct: 3.68 (3.68) proj_loss: -0.4944 (-0.4944) time: 0.3429 data: 0.0003
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:09:32 tlr: 0.00024 tnm: 0.41 Lm: 7.127 (7.127) Lt: 6.486 (6.486) Accm: 1.68 (1.68) Acct: 2.65 (2.65) proj_loss: -0.4980 (-0.4980) time: 0.3433 data: 0.0003
[11-25 13:34:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:09:33 tlr: 0.00024 tnm: 0.41 Lm: 7.168 (7.168) Lt: 6.550 (6.550) Accm: 1.98 (1.98) Acct: 3.12 (3.12) proj_loss: -0.4761 (-0.4761) time: 0.3433 data: 0.0003
[11-25 13:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.39 Lm: 7.149 (7.149) Lt: 6.531 (6.531) Accm: 1.92 (1.92) Acct: 3.02 (3.02) proj_loss: -0.4948 (-0.4948) time: 0.3586 data: 0.0002
[11-25 13:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.39 Lm: 7.093 (7.093) Lt: 6.493 (6.493) Accm: 2.11 (2.11) Acct: 3.20 (3.20) proj_loss: -0.4906 (-0.4906) time: 0.3586 data: 0.0002
[11-25 13:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.39 Lm: 7.118 (7.118) Lt: 6.490 (6.490) Accm: 2.03 (2.03) Acct: 3.00 (3.00) proj_loss: -0.5024 (-0.5024) time: 0.3586 data: 0.0002
[11-25 13:37:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:27 tlr: 0.00024 tnm: 0.39 Lm: 7.060 (7.060) Lt: 6.427 (6.427) Accm: 2.26 (2.26) Acct: 3.50 (3.50) proj_loss: -0.5011 (-0.5011) time: 0.3586 data: 0.0003
[11-25 13:39:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.41 Lm: 7.115 (7.078) Lt: 6.529 (6.461) Accm: 1.96 (2.16) Acct: 3.10 (3.35) proj_loss: -0.4981 (-0.4974) time: 0.3594 data: 0.0002
[11-25 13:39:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.41 Lm: 7.205 (7.154) Lt: 6.607 (6.549) Accm: 1.86 (2.03) Acct: 3.00 (3.13) proj_loss: -0.4868 (-0.4877) time: 0.3594 data: 0.0003
[11-25 13:39:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.41 Lm: 7.127 (7.127) Lt: 6.494 (6.505) Accm: 1.84 (1.97) Acct: 2.75 (2.92) proj_loss: -0.4980 (-0.4947) time: 0.3594 data: 0.0002
[11-25 13:39:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:04:58 tlr: 0.00024 tnm: 0.41 Lm: 7.131 (7.105) Lt: 6.512 (6.476) Accm: 1.98 (2.02) Acct: 3.12 (3.17) proj_loss: -0.5007 (-0.4968) time: 0.3594 data: 0.0002
[11-25 13:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.37 Lm: 7.149 (7.137) Lt: 6.531 (6.515) Accm: 1.92 (1.94) Acct: 3.02 (3.04) proj_loss: -0.4948 (-0.4948) time: 0.3581 data: 0.0003
[11-25 13:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.37 Lm: 7.169 (7.148) Lt: 6.564 (6.542) Accm: 1.96 (2.04) Acct: 3.04 (3.12) proj_loss: -0.4906 (-0.4906) time: 0.3581 data: 0.0002
[11-25 13:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.37 Lm: 7.075 (7.067) Lt: 6.463 (6.445) Accm: 2.12 (2.19) Acct: 3.33 (3.40) proj_loss: -0.4940 (-0.4925) time: 0.3581 data: 0.0002
[11-25 13:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.37 Lm: 7.120 (7.123) Lt: 6.503 (6.507) Accm: 1.92 (1.98) Acct: 2.90 (2.95) proj_loss: -0.4926 (-0.4928) time: 0.3581 data: 0.0002
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 7.127 (7.125) Lt: 6.511 (6.520) Accm: 2.00 (1.99) Acct: 2.96 (2.95) proj_loss: -0.4924 (-0.4927) time: 0.3619 data: 0.0018
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:09:58 (0.358 s / it)
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 7.142 (7.147) Lt: 6.581 (6.550) Accm: 1.86 (2.00) Acct: 3.00 (3.08) proj_loss: -0.4944 (-0.4959) time: 0.3619 data: 0.0016
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 7.034 (7.054) Lt: 6.397 (6.428) Accm: 2.08 (2.17) Acct: 3.15 (3.35) proj_loss: -0.4971 (-0.4934) time: 0.3619 data: 0.0015
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 7.168 (7.153) Lt: 6.550 (6.535) Accm: 1.85 (1.90) Acct: 2.93 (3.01) proj_loss: -0.4939 (-0.4946) time: 0.3619 data: 0.0018
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:09:58 (0.358 s / it)
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:09:58 (0.358 s / it)
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:09:58 (0.358 s / it)
[11-25 13:44:47] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 7.127 (7.127), Lt: 6.512 (6.512), Acc m&t: 1.94 3.01, Remain: 2 days, 6:26:02, Finish: 2024-11-27 04:10
[11-25 13:44:47] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 7.127 (7.127), Lt: 6.512 (6.512), Acc m&t: 1.94 3.01, Remain: 2 days, 6:24:25, Finish: 2024-11-27 04:09
[11-25 13:44:47] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 7.127 (7.127), Lt: 6.512 (6.512), Acc m&t: 1.94 3.01, Remain: 2 days, 6:24:25, Finish: 2024-11-27 04:09
[11-25 13:44:47] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 7.127 (7.127), Lt: 6.512 (6.512), Acc m&t: 1.94 3.01, Remain: 2 days, 6:25:16, Finish: 2024-11-27 04:10
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:09:55 tlr: 0.00024 tnm: 0.35 Lm: 7.088 (7.088) Lt: 6.444 (6.444) Accm: 2.04 (2.04) Acct: 3.32 (3.32) proj_loss: -0.4985 (-0.4985) time: 0.3570 data: 0.0003
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:09:54 tlr: 0.00024 tnm: 0.35 Lm: 7.183 (7.183) Lt: 6.572 (6.572) Accm: 1.83 (1.83) Acct: 2.89 (2.89) proj_loss: -0.4937 (-0.4937) time: 0.3562 data: 0.0004
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:10:14 tlr: 0.00024 tnm: 0.35 Lm: 7.175 (7.175) Lt: 6.540 (6.540) Accm: 1.95 (1.95) Acct: 3.06 (3.06) proj_loss: -0.4719 (-0.4719) time: 0.3684 data: 0.0002
[11-25 13:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:09:55 tlr: 0.00024 tnm: 0.35 Lm: 7.224 (7.224) Lt: 6.622 (6.622) Accm: 1.70 (1.70) Acct: 2.39 (2.39) proj_loss: -0.4662 (-0.4662) time: 0.3569 data: 0.0004
[11-25 13:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.41 Lm: 7.111 (7.111) Lt: 6.496 (6.496) Accm: 2.00 (2.00) Acct: 2.84 (2.84) proj_loss: -0.4861 (-0.4861) time: 0.3571 data: 0.0002
[11-25 13:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.41 Lm: 7.145 (7.145) Lt: 6.542 (6.542) Accm: 1.90 (1.90) Acct: 2.89 (2.89) proj_loss: -0.4890 (-0.4890) time: 0.3571 data: 0.0002
[11-25 13:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.41 Lm: 7.151 (7.151) Lt: 6.534 (6.534) Accm: 2.00 (2.00) Acct: 3.16 (3.16) proj_loss: -0.4732 (-0.4732) time: 0.3571 data: 0.0002
[11-25 13:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.41 Lm: 7.066 (7.066) Lt: 6.427 (6.427) Accm: 2.10 (2.10) Acct: 3.28 (3.28) proj_loss: -0.4950 (-0.4950) time: 0.3571 data: 0.0002
[11-25 13:49:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.35 Lm: 7.107 (7.116) Lt: 6.511 (6.509) Accm: 1.98 (1.98) Acct: 2.89 (3.06) proj_loss: -0.4844 (-0.4862) time: 0.3591 data: 0.0002
[11-25 13:49:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.35 Lm: 7.127 (7.095) Lt: 6.528 (6.468) Accm: 2.05 (2.16) Acct: 3.25 (3.31) proj_loss: -0.4746 (-0.4765) time: 0.3591 data: 0.0002
[11-25 13:49:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.35 Lm: 7.115 (7.112) Lt: 6.515 (6.502) Accm: 2.11 (2.03) Acct: 3.19 (2.96) proj_loss: -0.5060 (-0.4957) time: 0.3591 data: 0.0002
[11-25 13:49:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.35 Lm: 7.088 (7.092) Lt: 6.444 (6.456) Accm: 2.04 (2.01) Acct: 3.24 (3.15) proj_loss: -0.4915 (-0.4920) time: 0.3591 data: 0.0002
[11-25 13:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:33 tlr: 0.00024 tnm: 0.40 Lm: 7.091 (7.093) Lt: 6.459 (6.460) Accm: 2.04 (2.01) Acct: 3.24 (3.17) proj_loss: -0.4907 (-0.4915) time: 0.3587 data: 0.0002
[11-25 13:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:33 tlr: 0.00024 tnm: 0.40 Lm: 7.083 (7.091) Lt: 6.477 (6.472) Accm: 2.05 (2.05) Acct: 3.08 (3.11) proj_loss: -0.4881 (-0.4876) time: 0.3587 data: 0.0002
[11-25 13:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:33 tlr: 0.00024 tnm: 0.40 Lm: 7.054 (7.059) Lt: 6.433 (6.420) Accm: 2.20 (2.21) Acct: 3.38 (3.36) proj_loss: -0.4788 (-0.4786) time: 0.3587 data: 0.0003
[11-25 13:52:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:33 tlr: 0.00024 tnm: 0.40 Lm: 7.088 (7.099) Lt: 6.482 (6.489) Accm: 2.07 (2.03) Acct: 3.05 (2.94) proj_loss: -0.4957 (-0.4931) time: 0.3587 data: 0.0003
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.115 (7.115) Lt: 6.515 (6.497) Accm: 2.03 (2.01) Acct: 3.10 (2.98) proj_loss: -0.4964 (-0.4938) time: 0.3588 data: 0.0017
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:10 (0.366 s / it)
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.095 (7.127) Lt: 6.474 (6.499) Accm: 2.03 (1.94) Acct: 3.24 (3.03) proj_loss: -0.4900 (-0.4887) time: 0.3588 data: 0.0019
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.109 (7.069) Lt: 6.511 (6.438) Accm: 2.08 (2.18) Acct: 3.25 (3.31) proj_loss: -0.4831 (-0.4814) time: 0.3588 data: 0.0015
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 7.107 (7.094) Lt: 6.491 (6.476) Accm: 2.12 (2.06) Acct: 3.13 (3.12) proj_loss: -0.4844 (-0.4866) time: 0.3588 data: 0.0018
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:10 (0.366 s / it)
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:10 (0.366 s / it)
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:10 (0.366 s / it)
[11-25 13:54:57] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 7.123 (7.123), Lt: 6.505 (6.505), Acc m&t: 1.95 3.01, Remain: 2 days, 5:56:20, Finish: 2024-11-27 03:51
[11-25 13:54:57] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 7.123 (7.123), Lt: 6.505 (6.505), Acc m&t: 1.95 3.01, Remain: 2 days, 5:55:27, Finish: 2024-11-27 03:50
[11-25 13:54:57] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 7.123 (7.123), Lt: 6.505 (6.505), Acc m&t: 1.95 3.01, Remain: 2 days, 5:56:51, Finish: 2024-11-27 03:51
[11-25 13:54:57] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 7.123 (7.123), Lt: 6.505 (6.505), Acc m&t: 1.95 3.01, Remain: 2 days, 5:54:48, Finish: 2024-11-27 03:49
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:10:03 tlr: 0.00024 tnm: 0.38 Lm: 7.083 (7.083) Lt: 6.503 (6.503) Accm: 1.97 (1.97) Acct: 2.89 (2.89) proj_loss: -0.5043 (-0.5043) time: 0.3618 data: 0.0004
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:10:02 tlr: 0.00024 tnm: 0.38 Lm: 7.240 (7.240) Lt: 6.670 (6.670) Accm: 1.73 (1.73) Acct: 2.41 (2.41) proj_loss: -0.4957 (-0.4957) time: 0.3612 data: 0.0004
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:10:04 tlr: 0.00024 tnm: 0.38 Lm: 7.176 (7.176) Lt: 6.590 (6.590) Accm: 1.82 (1.82) Acct: 2.82 (2.82) proj_loss: -0.4987 (-0.4987) time: 0.3620 data: 0.0003
[11-25 13:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:10:04 tlr: 0.00024 tnm: 0.38 Lm: 7.146 (7.146) Lt: 6.562 (6.562) Accm: 2.03 (2.03) Acct: 3.17 (3.17) proj_loss: -0.4776 (-0.4776) time: 0.3624 data: 0.0003
[11-25 13:57:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.35 Lm: 7.156 (7.156) Lt: 6.579 (6.579) Accm: 1.89 (1.89) Acct: 3.00 (3.00) proj_loss: -0.4889 (-0.4889) time: 0.3557 data: 0.0002
[11-25 13:57:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.35 Lm: 7.176 (7.176) Lt: 6.579 (6.579) Accm: 1.80 (1.80) Acct: 2.94 (2.94) proj_loss: -0.4935 (-0.4935) time: 0.3557 data: 0.0002
[11-25 13:57:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.35 Lm: 7.142 (7.142) Lt: 6.546 (6.546) Accm: 1.87 (1.87) Acct: 2.87 (2.87) proj_loss: -0.5036 (-0.5036) time: 0.3557 data: 0.0003
[11-25 13:57:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:07:28 tlr: 0.00024 tnm: 0.35 Lm: 7.058 (7.058) Lt: 6.450 (6.450) Accm: 1.99 (1.99) Acct: 2.96 (2.96) proj_loss: -0.5041 (-0.5041) time: 0.3557 data: 0.0003
[11-25 13:59:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.35 Lm: 7.176 (7.149) Lt: 6.568 (6.543) Accm: 1.82 (1.89) Acct: 3.06 (3.01) proj_loss: -0.4883 (-0.4914) time: 0.3587 data: 0.0002
[11-25 13:59:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.35 Lm: 7.131 (7.138) Lt: 6.520 (6.537) Accm: 1.94 (1.90) Acct: 2.98 (2.90) proj_loss: -0.4957 (-0.5006) time: 0.3587 data: 0.0002
[11-25 13:59:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.35 Lm: 7.083 (7.078) Lt: 6.503 (6.469) Accm: 1.97 (1.95) Acct: 2.89 (2.94) proj_loss: -0.5040 (-0.4985) time: 0.3587 data: 0.0002
[11-25 13:59:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.35 Lm: 7.146 (7.129) Lt: 6.562 (6.547) Accm: 1.93 (1.90) Acct: 3.03 (3.01) proj_loss: -0.4890 (-0.4889) time: 0.3587 data: 0.0003
[11-25 14:02:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.38 Lm: 7.110 (7.089) Lt: 6.522 (6.495) Accm: 1.98 (2.00) Acct: 3.10 (3.16) proj_loss: -0.4917 (-0.4903) time: 0.3598 data: 0.0003
[11-25 14:02:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.38 Lm: 7.088 (7.111) Lt: 6.471 (6.503) Accm: 1.98 (1.96) Acct: 3.13 (3.00) proj_loss: -0.4982 (-0.5006) time: 0.3598 data: 0.0003
[11-25 14:02:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.38 Lm: 7.072 (7.074) Lt: 6.458 (6.455) Accm: 1.99 (1.98) Acct: 2.96 (3.02) proj_loss: -0.4956 (-0.4947) time: 0.3598 data: 0.0003
[11-25 14:02:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:29 tlr: 0.00024 tnm: 0.38 Lm: 7.136 (7.126) Lt: 6.523 (6.527) Accm: 1.95 (1.94) Acct: 3.11 (3.07) proj_loss: -0.4878 (-0.4871) time: 0.3598 data: 0.0002
[11-25 14:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.117 (7.125) Lt: 6.515 (6.524) Accm: 2.03 (1.96) Acct: 3.12 (3.08) proj_loss: -0.4883 (-0.4899) time: 0.3618 data: 0.0015
[11-25 14:04:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:09:58 (0.359 s / it)
[11-25 14:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.131 (7.121) Lt: 6.520 (6.519) Accm: 1.94 (1.93) Acct: 2.98 (2.90) proj_loss: -0.4957 (-0.4979) time: 0.3618 data: 0.0015
[11-25 14:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.083 (7.091) Lt: 6.503 (6.480) Accm: 1.97 (1.95) Acct: 2.89 (2.96) proj_loss: -0.4872 (-0.4924) time: 0.3618 data: 0.0020
[11-25 14:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.40 Lm: 7.128 (7.097) Lt: 6.534 (6.503) Accm: 1.95 (1.99) Acct: 3.03 (3.11) proj_loss: -0.4890 (-0.4888) time: 0.3618 data: 0.0018
[11-25 14:04:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:09:58 (0.359 s / it)
[11-25 14:04:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:09:58 (0.359 s / it)
[11-25 14:04:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:09:58 (0.359 s / it)
[11-25 14:07:25] (home/user/VAR/trainer.py, line 114)=> FID: 9.8078692437997
[11-25 14:07:26] (/home/user/VAR/train.py , line 259)=> [*] [ep29] (val 50000) Lm: 7.1222, Lt: 6.5070, Acc m&t: 1.96 3.02, Val cost: 149.79s
[11-25 14:07:26] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-25 14:07:43] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 7.122 (7.122), Lt: 6.505 (6.507), Acc m&t: 1.96 3.02, Remain: 2 days, 5:47:32, Finish: 2024-11-27 03:52
[11-25 14:07:43] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 7.122 (7.122), Lt: 6.505 (6.507), Acc m&t: 1.96 3.02, Remain: 2 days, 5:48:54, Finish: 2024-11-27 03:53
[11-25 14:07:43] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 7.122 (7.122), Lt: 6.505 (6.507), Acc m&t: 1.96 3.02, Remain: 2 days, 5:47:41, Finish: 2024-11-27 03:52
[11-25 14:07:43] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 7.122 (7.122), Lt: 6.505 (6.507), Acc m&t: 1.96 3.02, Remain: 2 days, 5:49:54, Finish: 2024-11-27 03:54
[11-25 14:07:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.38 Lm: 6.901 (6.901) Lt: 6.286 (6.286) Accm: 2.51 (2.51) Acct: 3.75 (3.75) proj_loss: -0.5140 (-0.5140) time: 0.3639 data: 0.0004
[11-25 14:07:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.38 Lm: 7.093 (7.093) Lt: 6.438 (6.438) Accm: 1.94 (1.94) Acct: 2.88 (2.88) proj_loss: -0.4976 (-0.4976) time: 0.3639 data: 0.0004
[11-25 14:07:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.38 Lm: 7.173 (7.173) Lt: 6.606 (6.606) Accm: 1.68 (1.68) Acct: 2.57 (2.57) proj_loss: -0.4833 (-0.4833) time: 0.3638 data: 0.0003
[11-25 14:07:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:10:08 tlr: 0.00024 tnm: 0.38 Lm: 6.942 (6.942) Lt: 6.299 (6.299) Accm: 2.27 (2.27) Acct: 3.60 (3.60) proj_loss: -0.4946 (-0.4946) time: 0.3643 data: 0.0004
[11-25 14:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.33 Lm: 6.996 (6.996) Lt: 6.386 (6.386) Accm: 2.17 (2.17) Acct: 3.43 (3.43) proj_loss: -0.5026 (-0.5026) time: 0.3592 data: 0.0002
[11-25 14:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.33 Lm: 7.016 (7.016) Lt: 6.418 (6.418) Accm: 2.26 (2.26) Acct: 3.32 (3.32) proj_loss: -0.4967 (-0.4967) time: 0.3592 data: 0.0002
[11-25 14:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.33 Lm: 7.132 (7.132) Lt: 6.491 (6.491) Accm: 2.02 (2.02) Acct: 3.16 (3.16) proj_loss: -0.4980 (-0.4980) time: 0.3592 data: 0.0002
[11-25 14:10:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:29 tlr: 0.00024 tnm: 0.33 Lm: 7.125 (7.125) Lt: 6.500 (6.500) Accm: 1.90 (1.90) Acct: 2.97 (2.97) proj_loss: -0.4901 (-0.4901) time: 0.3592 data: 0.0002
[11-25 14:12:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.38 Lm: 7.142 (7.131) Lt: 6.506 (6.502) Accm: 1.72 (1.84) Acct: 2.81 (2.92) proj_loss: -0.4969 (-0.4924) time: 0.3601 data: 0.0003
[11-25 14:12:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.38 Lm: 7.108 (7.046) Lt: 6.498 (6.444) Accm: 2.08 (2.20) Acct: 3.08 (3.24) proj_loss: -0.5131 (-0.5022) time: 0.3601 data: 0.0002
[11-25 14:12:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.38 Lm: 6.959 (6.983) Lt: 6.311 (6.361) Accm: 2.27 (2.21) Acct: 3.55 (3.47) proj_loss: -0.4946 (-0.4949) time: 0.3601 data: 0.0003
[11-25 14:12:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:04:59 tlr: 0.00024 tnm: 0.38 Lm: 7.093 (7.102) Lt: 6.438 (6.468) Accm: 2.06 (2.03) Acct: 3.03 (3.12) proj_loss: -0.4985 (-0.4998) time: 0.3601 data: 0.0003
[11-25 14:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.39 Lm: 7.099 (7.103) Lt: 6.453 (6.468) Accm: 2.04 (2.03) Acct: 2.97 (3.06) proj_loss: -0.4980 (-0.4988) time: 0.3595 data: 0.0002
[11-25 14:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.39 Lm: 7.060 (7.038) Lt: 6.433 (6.426) Accm: 2.10 (2.18) Acct: 3.21 (3.27) proj_loss: -0.5042 (-0.5005) time: 0.3595 data: 0.0002
[11-25 14:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.39 Lm: 7.157 (7.143) Lt: 6.542 (6.521) Accm: 1.78 (1.84) Acct: 2.87 (2.92) proj_loss: -0.4901 (-0.4891) time: 0.3595 data: 0.0002
[11-25 14:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:30 tlr: 0.00024 tnm: 0.39 Lm: 7.004 (7.021) Lt: 6.393 (6.413) Accm: 2.20 (2.19) Acct: 3.47 (3.45) proj_loss: -0.5021 (-0.4985) time: 0.3595 data: 0.0003
[11-25 14:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.050 (7.047) Lt: 6.474 (6.432) Accm: 2.13 (2.10) Acct: 3.39 (3.31) proj_loss: -0.4946 (-0.4958) time: 0.3619 data: 0.0019
[11-25 14:17:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:09:59 (0.359 s / it)
[11-25 14:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.108 (7.060) Lt: 6.498 (6.446) Accm: 2.08 (2.12) Acct: 3.08 (3.17) proj_loss: -0.4953 (-0.4980) time: 0.3619 data: 0.0016
[11-25 14:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.142 (7.138) Lt: 6.508 (6.519) Accm: 1.84 (1.91) Acct: 2.93 (2.99) proj_loss: -0.4969 (-0.4930) time: 0.3619 data: 0.0019
[11-25 14:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.38 Lm: 7.105 (7.117) Lt: 6.468 (6.476) Accm: 2.03 (1.98) Acct: 2.91 (2.96) proj_loss: -0.4976 (-0.4954) time: 0.3619 data: 0.0030
[11-25 14:17:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:09:59 (0.359 s / it)
[11-25 14:17:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:09:59 (0.359 s / it)
[11-25 14:17:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:09:59 (0.359 s / it)
[11-25 14:17:42] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 7.108 (7.108), Lt: 6.487 (6.487), Acc m&t: 2.01 3.12, Remain: 2 days, 5:38:41, Finish: 2024-11-27 03:56
[11-25 14:17:42] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 7.108 (7.108), Lt: 6.487 (6.487), Acc m&t: 2.01 3.12, Remain: 2 days, 5:37:52, Finish: 2024-11-27 03:55
[11-25 14:17:42] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 7.108 (7.108), Lt: 6.487 (6.487), Acc m&t: 2.01 3.12, Remain: 2 days, 5:39:16, Finish: 2024-11-27 03:56
[11-25 14:17:42] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 7.108 (7.108), Lt: 6.487 (6.487), Acc m&t: 2.01 3.12, Remain: 2 days, 5:37:58, Finish: 2024-11-27 03:55
[11-25 14:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:09:51 tlr: 0.00024 tnm: 0.36 Lm: 7.166 (7.166) Lt: 6.576 (6.576) Accm: 1.59 (1.59) Acct: 2.46 (2.46) proj_loss: -0.5276 (-0.5276) time: 0.3545 data: 0.0003
[11-25 14:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:09:37 tlr: 0.00024 tnm: 0.36 Lm: 6.938 (6.938) Lt: 6.290 (6.290) Accm: 2.36 (2.36) Acct: 3.55 (3.55) proj_loss: -0.5172 (-0.5172) time: 0.3460 data: 0.0003
[11-25 14:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:09:52 tlr: 0.00024 tnm: 0.36 Lm: 7.155 (7.155) Lt: 6.543 (6.543) Accm: 1.88 (1.88) Acct: 2.84 (2.84) proj_loss: -0.5269 (-0.5269) time: 0.3550 data: 0.0004
[11-25 14:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:09:38 tlr: 0.00024 tnm: 0.36 Lm: 7.090 (7.090) Lt: 6.398 (6.398) Accm: 2.09 (2.09) Acct: 3.37 (3.37) proj_loss: -0.4884 (-0.4884) time: 0.3465 data: 0.0004
[11-25 14:20:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.37 Lm: 7.134 (7.134) Lt: 6.464 (6.464) Accm: 2.08 (2.08) Acct: 3.27 (3.27) proj_loss: -0.4976 (-0.4976) time: 0.3571 data: 0.0002
[11-25 14:20:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.37 Lm: 7.119 (7.119) Lt: 6.517 (6.517) Accm: 1.77 (1.77) Acct: 2.73 (2.73) proj_loss: -0.5214 (-0.5214) time: 0.3571 data: 0.0002
[11-25 14:20:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.37 Lm: 7.128 (7.128) Lt: 6.478 (6.478) Accm: 2.07 (2.07) Acct: 3.36 (3.36) proj_loss: -0.5142 (-0.5142) time: 0.3571 data: 0.0002
[11-25 14:20:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.37 Lm: 7.047 (7.047) Lt: 6.402 (6.402) Accm: 2.17 (2.17) Acct: 3.31 (3.31) proj_loss: -0.5046 (-0.5046) time: 0.3571 data: 0.0003
[11-25 14:22:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.37 Lm: 7.135 (7.076) Lt: 6.513 (6.452) Accm: 1.99 (2.10) Acct: 3.08 (3.21) proj_loss: -0.4919 (-0.4990) time: 0.4049 data: 0.0002
[11-25 14:22:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.37 Lm: 7.102 (7.119) Lt: 6.436 (6.464) Accm: 2.00 (2.05) Acct: 3.29 (3.33) proj_loss: -0.5015 (-0.5054) time: 0.4049 data: 0.0002
[11-25 14:22:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.37 Lm: 7.125 (7.121) Lt: 6.468 (6.500) Accm: 1.94 (1.84) Acct: 3.00 (2.82) proj_loss: -0.5151 (-0.5089) time: 0.4049 data: 0.0002
[11-25 14:22:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.37 Lm: 7.090 (7.092) Lt: 6.398 (6.426) Accm: 2.09 (2.18) Acct: 3.37 (3.46) proj_loss: -0.4958 (-0.4970) time: 0.4049 data: 0.0002
[11-25 14:25:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:34 tlr: 0.00023 tnm: 0.36 Lm: 7.116 (7.105) Lt: 6.462 (6.451) Accm: 2.08 (2.14) Acct: 3.29 (3.40) proj_loss: -0.4940 (-0.4958) time: 0.3578 data: 0.0003
[11-25 14:25:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:34 tlr: 0.00023 tnm: 0.36 Lm: 7.101 (7.099) Lt: 6.435 (6.456) Accm: 2.08 (2.08) Acct: 3.25 (3.31) proj_loss: -0.5084 (-0.5079) time: 0.3578 data: 0.0002
[11-25 14:25:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:34 tlr: 0.00023 tnm: 0.36 Lm: 7.111 (7.079) Lt: 6.483 (6.452) Accm: 2.03 (2.09) Acct: 3.12 (3.20) proj_loss: -0.4899 (-0.4928) time: 0.3578 data: 0.0002
[11-25 14:25:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:34 tlr: 0.00023 tnm: 0.36 Lm: 7.098 (7.103) Lt: 6.463 (6.472) Accm: 1.96 (1.91) Acct: 3.00 (2.98) proj_loss: -0.5078 (-0.5068) time: 0.3578 data: 0.0003
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.072 (7.090) Lt: 6.458 (6.457) Accm: 1.98 (1.94) Acct: 3.00 (3.02) proj_loss: -0.5004 (-0.5035) time: 0.3586 data: 0.0018
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:12 (0.367 s / it)
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.102 (7.115) Lt: 6.436 (6.473) Accm: 2.00 (2.02) Acct: 3.22 (3.24) proj_loss: -0.5015 (-0.5045) time: 0.3587 data: 0.0016
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.103 (7.104) Lt: 6.478 (6.456) Accm: 2.07 (2.10) Acct: 3.20 (3.28) proj_loss: -0.4958 (-0.4974) time: 0.3586 data: 0.0015
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 7.086 (7.055) Lt: 6.452 (6.425) Accm: 2.07 (2.16) Acct: 3.15 (3.30) proj_loss: -0.4914 (-0.4926) time: 0.3587 data: 0.0015
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:12 (0.367 s / it)
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:12 (0.367 s / it)
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:12 (0.367 s / it)
[11-25 14:27:55] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 7.094 (7.094), Lt: 6.469 (6.469), Acc m&t: 2.03 3.14, Remain: 2 days, 5:10:49, Finish: 2024-11-27 03:38
[11-25 14:27:55] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 7.094 (7.094), Lt: 6.469 (6.469), Acc m&t: 2.03 3.14, Remain: 2 days, 5:10:12, Finish: 2024-11-27 03:38
[11-25 14:27:55] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 7.094 (7.094), Lt: 6.469 (6.469), Acc m&t: 2.03 3.14, Remain: 2 days, 5:09:22, Finish: 2024-11-27 03:37
[11-25 14:27:55] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 7.094 (7.094), Lt: 6.469 (6.469), Acc m&t: 2.03 3.14, Remain: 2 days, 5:10:19, Finish: 2024-11-27 03:38
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:09:35 tlr: 0.00023 tnm: 0.40 Lm: 6.937 (6.937) Lt: 6.286 (6.286) Accm: 2.35 (2.35) Acct: 3.82 (3.82) proj_loss: -0.5026 (-0.5026) time: 0.3447 data: 0.0003
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:09:36 tlr: 0.00023 tnm: 0.40 Lm: 7.124 (7.124) Lt: 6.501 (6.501) Accm: 2.01 (2.01) Acct: 2.98 (2.98) proj_loss: -0.5151 (-0.5151) time: 0.3452 data: 0.0003
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:09:36 tlr: 0.00023 tnm: 0.40 Lm: 7.107 (7.107) Lt: 6.486 (6.486) Accm: 1.99 (1.99) Acct: 2.98 (2.98) proj_loss: -0.4933 (-0.4933) time: 0.3452 data: 0.0003
[11-25 14:27:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:09:35 tlr: 0.00023 tnm: 0.40 Lm: 7.093 (7.093) Lt: 6.469 (6.469) Accm: 1.86 (1.86) Acct: 2.91 (2.91) proj_loss: -0.5008 (-0.5008) time: 0.3449 data: 0.0003
[11-25 14:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.34 Lm: 7.097 (7.097) Lt: 6.461 (6.461) Accm: 1.89 (1.89) Acct: 3.02 (3.02) proj_loss: -0.4946 (-0.4946) time: 0.3582 data: 0.0002
[11-25 14:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.34 Lm: 7.037 (7.037) Lt: 6.390 (6.390) Accm: 2.08 (2.08) Acct: 3.42 (3.42) proj_loss: -0.4996 (-0.4996) time: 0.3582 data: 0.0002
[11-25 14:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.34 Lm: 7.156 (7.156) Lt: 6.517 (6.517) Accm: 1.99 (1.99) Acct: 3.06 (3.06) proj_loss: -0.4995 (-0.4995) time: 0.3582 data: 0.0002
[11-25 14:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.34 Lm: 7.072 (7.072) Lt: 6.484 (6.484) Accm: 1.96 (1.96) Acct: 2.89 (2.89) proj_loss: -0.4995 (-0.4995) time: 0.3582 data: 0.0003
[11-25 14:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.089 (7.078) Lt: 6.482 (6.482) Accm: 1.99 (1.99) Acct: 2.98 (3.00) proj_loss: -0.5057 (-0.5058) time: 0.3586 data: 0.0002
[11-25 14:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.188 (7.179) Lt: 6.532 (6.559) Accm: 1.97 (1.93) Acct: 2.98 (2.96) proj_loss: -0.5018 (-0.5003) time: 0.3585 data: 0.0002
[11-25 14:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.093 (7.082) Lt: 6.453 (6.444) Accm: 1.89 (1.89) Acct: 2.91 (2.98) proj_loss: -0.4937 (-0.4943) time: 0.3585 data: 0.0003
[11-25 14:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.138 (7.071) Lt: 6.494 (6.460) Accm: 1.92 (2.03) Acct: 3.01 (3.25) proj_loss: -0.5026 (-0.5072) time: 0.3585 data: 0.0002
[11-25 14:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.40 Lm: 7.131 (7.084) Lt: 6.506 (6.474) Accm: 1.94 (2.01) Acct: 3.08 (3.23) proj_loss: -0.5031 (-0.5063) time: 0.3599 data: 0.0002
[11-25 14:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.40 Lm: 7.156 (7.144) Lt: 6.517 (6.531) Accm: 1.99 (1.99) Acct: 3.06 (3.08) proj_loss: -0.5009 (-0.5002) time: 0.3599 data: 0.0002
[11-25 14:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.40 Lm: 7.098 (7.086) Lt: 6.480 (6.477) Accm: 2.00 (2.00) Acct: 3.03 (3.02) proj_loss: -0.5056 (-0.5057) time: 0.3599 data: 0.0003
[11-25 14:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.40 Lm: 7.086 (7.081) Lt: 6.460 (6.450) Accm: 1.91 (1.93) Acct: 3.02 (3.03) proj_loss: -0.4972 (-0.4979) time: 0.3599 data: 0.0003
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 7.078 (7.067) Lt: 6.453 (6.431) Accm: 1.93 (2.02) Acct: 3.13 (3.18) proj_loss: -0.5008 (-0.5014) time: 0.3597 data: 0.0015
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:09:59 (0.359 s / it)
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 7.089 (7.086) Lt: 6.479 (6.473) Accm: 2.00 (2.02) Acct: 3.08 (3.09) proj_loss: -0.5054 (-0.5050) time: 0.3597 data: 0.0017
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 7.138 (7.103) Lt: 6.517 (6.499) Accm: 1.92 (1.99) Acct: 3.01 (3.15) proj_loss: -0.5026 (-0.5035) time: 0.3597 data: 0.0018
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.38 Lm: 7.124 (7.133) Lt: 6.501 (6.509) Accm: 2.01 (2.06) Acct: 3.13 (3.18) proj_loss: -0.5000 (-0.4979) time: 0.3597 data: 0.0015
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:09:59 (0.359 s / it)
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:09:59 (0.359 s / it)
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:09:59 (0.359 s / it)
[11-25 14:37:54] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 7.091 (7.091), Lt: 6.469 (6.470), Acc m&t: 2.04 3.15, Remain: 2 days, 4:56:40, Finish: 2024-11-27 03:34
[11-25 14:37:54] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 7.091 (7.091), Lt: 6.469 (6.470), Acc m&t: 2.04 3.15, Remain: 2 days, 4:57:11, Finish: 2024-11-27 03:35
[11-25 14:37:54] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 7.091 (7.091), Lt: 6.469 (6.470), Acc m&t: 2.04 3.15, Remain: 2 days, 4:56:59, Finish: 2024-11-27 03:34
[11-25 14:37:54] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 7.091 (7.091), Lt: 6.469 (6.470), Acc m&t: 2.04 3.15, Remain: 2 days, 4:56:19, Finish: 2024-11-27 03:34
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:09:57 tlr: 0.00023 tnm: 0.46 Lm: 7.184 (7.184) Lt: 6.554 (6.554) Accm: 1.91 (1.91) Acct: 2.82 (2.82) proj_loss: -0.5055 (-0.5055) time: 0.3579 data: 0.0003
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:09:57 tlr: 0.00023 tnm: 0.46 Lm: 7.133 (7.133) Lt: 6.473 (6.473) Accm: 2.08 (2.08) Acct: 3.39 (3.39) proj_loss: -0.5105 (-0.5105) time: 0.3580 data: 0.0003
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:09:57 tlr: 0.00023 tnm: 0.46 Lm: 7.116 (7.116) Lt: 6.472 (6.472) Accm: 1.86 (1.86) Acct: 3.08 (3.08) proj_loss: -0.4829 (-0.4829) time: 0.3582 data: 0.0004
[11-25 14:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:09:58 tlr: 0.00023 tnm: 0.46 Lm: 6.993 (6.993) Lt: 6.354 (6.354) Accm: 2.31 (2.31) Acct: 3.74 (3.74) proj_loss: -0.4847 (-0.4847) time: 0.3585 data: 0.0003
[11-25 14:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.41 Lm: 7.051 (7.051) Lt: 6.435 (6.435) Accm: 2.22 (2.22) Acct: 3.49 (3.49) proj_loss: -0.4993 (-0.4993) time: 0.3588 data: 0.0003
[11-25 14:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.41 Lm: 7.033 (7.033) Lt: 6.389 (6.389) Accm: 2.25 (2.25) Acct: 3.49 (3.49) proj_loss: -0.5050 (-0.5050) time: 0.3588 data: 0.0002
[11-25 14:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.41 Lm: 7.046 (7.046) Lt: 6.395 (6.395) Accm: 2.22 (2.22) Acct: 3.52 (3.52) proj_loss: -0.4925 (-0.4925) time: 0.3588 data: 0.0002
[11-25 14:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.41 Lm: 7.196 (7.196) Lt: 6.588 (6.588) Accm: 1.82 (1.82) Acct: 2.71 (2.71) proj_loss: -0.5007 (-0.5007) time: 0.3589 data: 0.0002
[11-25 14:42:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.35 Lm: 7.184 (7.100) Lt: 6.554 (6.484) Accm: 1.91 (2.06) Acct: 2.82 (3.17) proj_loss: -0.5055 (-0.5080) time: 0.3560 data: 0.0002
[11-25 14:42:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.35 Lm: 7.065 (7.044) Lt: 6.455 (6.411) Accm: 2.21 (2.24) Acct: 3.55 (3.51) proj_loss: -0.4995 (-0.5030) time: 0.3560 data: 0.0002
[11-25 14:42:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.35 Lm: 7.116 (7.074) Lt: 6.472 (6.435) Accm: 2.24 (2.22) Acct: 3.41 (3.48) proj_loss: -0.5020 (-0.4976) time: 0.3559 data: 0.0002
[11-25 14:42:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.35 Lm: 7.109 (7.110) Lt: 6.516 (6.501) Accm: 2.13 (2.06) Acct: 3.24 (3.33) proj_loss: -0.4963 (-0.4983) time: 0.3560 data: 0.0002
[11-25 14:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.36 Lm: 7.051 (7.073) Lt: 6.435 (6.454) Accm: 2.22 (2.14) Acct: 3.49 (3.46) proj_loss: -0.5051 (-0.5038) time: 0.3588 data: 0.0003
[11-25 14:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.36 Lm: 7.099 (7.080) Lt: 6.464 (6.448) Accm: 2.15 (2.13) Acct: 3.47 (3.27) proj_loss: -0.4992 (-0.5012) time: 0.3588 data: 0.0002
[11-25 14:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.36 Lm: 7.097 (7.075) Lt: 6.445 (6.431) Accm: 2.11 (2.17) Acct: 3.25 (3.33) proj_loss: -0.5050 (-0.5016) time: 0.3588 data: 0.0002
[11-25 14:45:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.36 Lm: 7.196 (7.128) Lt: 6.581 (6.515) Accm: 1.86 (2.00) Acct: 2.81 (3.07) proj_loss: -0.5007 (-0.5039) time: 0.3588 data: 0.0002
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.184 (7.132) Lt: 6.554 (6.511) Accm: 1.91 (1.98) Acct: 2.79 (3.01) proj_loss: -0.4958 (-0.5013) time: 0.3628 data: 0.0017
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:09:58 (0.359 s / it)
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.099 (7.084) Lt: 6.455 (6.445) Accm: 2.08 (2.05) Acct: 3.39 (3.18) proj_loss: -0.4989 (-0.4951) time: 0.3628 data: 0.0016
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.114 (7.083) Lt: 6.472 (6.440) Accm: 1.99 (2.08) Acct: 3.08 (3.19) proj_loss: -0.5020 (-0.5012) time: 0.3628 data: 0.0017
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.109 (7.108) Lt: 6.516 (6.499) Accm: 2.13 (2.03) Acct: 3.24 (3.24) proj_loss: -0.5139 (-0.5070) time: 0.3628 data: 0.0020
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:09:58 (0.359 s / it)
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:09:58 (0.359 s / it)
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:09:58 (0.359 s / it)
[11-25 14:47:53] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 7.091 (7.091), Lt: 6.466 (6.466), Acc m&t: 2.04 3.15, Remain: 2 days, 5:07:45, Finish: 2024-11-27 03:55
[11-25 14:47:53] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 7.091 (7.091), Lt: 6.466 (6.466), Acc m&t: 2.04 3.15, Remain: 2 days, 5:08:35, Finish: 2024-11-27 03:56
[11-25 14:47:53] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 7.091 (7.091), Lt: 6.466 (6.466), Acc m&t: 2.04 3.15, Remain: 2 days, 5:07:56, Finish: 2024-11-27 03:55
[11-25 14:47:53] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 7.091 (7.091), Lt: 6.466 (6.466), Acc m&t: 2.04 3.15, Remain: 2 days, 5:06:58, Finish: 2024-11-27 03:54
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:09:30 tlr: 0.00023 tnm: 0.37 Lm: 7.102 (7.102) Lt: 6.496 (6.496) Accm: 2.01 (2.01) Acct: 2.98 (2.98) proj_loss: -0.4988 (-0.4988) time: 0.3420 data: 0.0003
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:09:31 tlr: 0.00023 tnm: 0.37 Lm: 7.181 (7.181) Lt: 6.561 (6.561) Accm: 2.05 (2.05) Acct: 3.27 (3.27) proj_loss: -0.4896 (-0.4896) time: 0.3422 data: 0.0004
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:09:39 tlr: 0.00023 tnm: 0.37 Lm: 7.132 (7.132) Lt: 6.494 (6.494) Accm: 2.04 (2.04) Acct: 3.19 (3.19) proj_loss: -0.5182 (-0.5182) time: 0.3471 data: 0.0003
[11-25 14:47:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:09:39 tlr: 0.00023 tnm: 0.37 Lm: 6.980 (6.980) Lt: 6.363 (6.363) Accm: 2.40 (2.40) Acct: 3.65 (3.65) proj_loss: -0.5018 (-0.5018) time: 0.3475 data: 0.0003
[11-25 14:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.34 Lm: 7.106 (7.106) Lt: 6.506 (6.506) Accm: 1.97 (1.97) Acct: 3.00 (3.00) proj_loss: -0.5116 (-0.5116) time: 0.3592 data: 0.0002
[11-25 14:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.34 Lm: 7.108 (7.108) Lt: 6.495 (6.495) Accm: 1.99 (1.99) Acct: 3.09 (3.09) proj_loss: -0.5036 (-0.5036) time: 0.3592 data: 0.0003
[11-25 14:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.34 Lm: 7.115 (7.115) Lt: 6.497 (6.497) Accm: 2.05 (2.05) Acct: 3.07 (3.07) proj_loss: -0.5136 (-0.5136) time: 0.3592 data: 0.0002
[11-25 14:50:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:28 tlr: 0.00023 tnm: 0.34 Lm: 7.096 (7.096) Lt: 6.462 (6.462) Accm: 2.10 (2.10) Acct: 3.34 (3.34) proj_loss: -0.5018 (-0.5018) time: 0.3592 data: 0.0003
[11-25 14:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:16 tlr: 0.00023 tnm: 0.36 Lm: 7.011 (7.055) Lt: 6.364 (6.414) Accm: 2.15 (2.17) Acct: 3.41 (3.41) proj_loss: -0.5139 (-0.5078) time: 0.3561 data: 0.0003
[11-25 14:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:16 tlr: 0.00023 tnm: 0.36 Lm: 7.132 (7.125) Lt: 6.501 (6.513) Accm: 2.04 (2.04) Acct: 3.01 (3.05) proj_loss: -0.5145 (-0.5139) time: 0.3561 data: 0.0002
[11-25 14:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:16 tlr: 0.00023 tnm: 0.36 Lm: 7.102 (7.030) Lt: 6.493 (6.397) Accm: 2.01 (2.14) Acct: 3.20 (3.28) proj_loss: -0.5036 (-0.5036) time: 0.3561 data: 0.0003
[11-25 14:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:16 tlr: 0.00023 tnm: 0.36 Lm: 7.233 (7.154) Lt: 6.649 (6.555) Accm: 1.82 (1.92) Acct: 2.89 (2.97) proj_loss: -0.5018 (-0.5071) time: 0.3561 data: 0.0003
[11-25 14:55:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.37 Lm: 7.195 (7.155) Lt: 6.581 (6.545) Accm: 1.77 (1.87) Acct: 2.83 (2.92) proj_loss: -0.4999 (-0.5027) time: 0.3588 data: 0.0003
[11-25 14:55:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.37 Lm: 7.108 (7.059) Lt: 6.495 (6.438) Accm: 1.99 (2.08) Acct: 3.10 (3.21) proj_loss: -0.5060 (-0.5065) time: 0.3588 data: 0.0002
[11-25 14:55:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.37 Lm: 7.017 (7.047) Lt: 6.386 (6.413) Accm: 2.20 (2.19) Acct: 3.48 (3.46) proj_loss: -0.5160 (-0.5104) time: 0.3588 data: 0.0003
[11-25 14:55:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.37 Lm: 7.115 (7.099) Lt: 6.497 (6.476) Accm: 2.05 (2.10) Acct: 3.10 (3.11) proj_loss: -0.5117 (-0.5107) time: 0.3588 data: 0.0003
[11-25 14:58:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.099 (7.083) Lt: 6.494 (6.463) Accm: 2.07 (2.11) Acct: 3.19 (3.14) proj_loss: -0.5089 (-0.5068) time: 0.3605 data: 0.0015
[11-25 14:58:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:14 (0.368 s / it)
[11-25 14:58:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.024 (7.066) Lt: 6.409 (6.435) Accm: 2.15 (2.11) Acct: 3.41 (3.31) proj_loss: -0.5139 (-0.5086) time: 0.3605 data: 0.0019
[11-25 14:58:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.102 (7.062) Lt: 6.493 (6.440) Accm: 2.01 (2.09) Acct: 3.20 (3.22) proj_loss: -0.5078 (-0.5068) time: 0.3604 data: 0.0021
[11-25 14:58:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.157 (7.136) Lt: 6.514 (6.524) Accm: 1.82 (1.92) Acct: 2.89 (3.01) proj_loss: -0.5018 (-0.5033) time: 0.3605 data: 0.0016
[11-25 14:58:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:14 (0.368 s / it)
[11-25 14:58:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:14 (0.368 s / it)
[11-25 14:58:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:14 (0.368 s / it)
[11-25 14:58:07] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 7.091 (7.092), Lt: 6.466 (6.466), Acc m&t: 2.04 3.15, Remain: 2 days, 4:54:23, Finish: 2024-11-27 03:52
[11-25 14:58:07] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 7.091 (7.092), Lt: 6.466 (6.466), Acc m&t: 2.04 3.15, Remain: 2 days, 4:54:20, Finish: 2024-11-27 03:52
[11-25 14:58:07] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 7.091 (7.092), Lt: 6.466 (6.466), Acc m&t: 2.04 3.15, Remain: 2 days, 4:56:31, Finish: 2024-11-27 03:54
[11-25 14:58:07] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 7.091 (7.092), Lt: 6.466 (6.466), Acc m&t: 2.04 3.15, Remain: 2 days, 4:54:39, Finish: 2024-11-27 03:52
[11-25 14:58:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:09:37 tlr: 0.00023 tnm: 0.37 Lm: 7.127 (7.127) Lt: 6.508 (6.508) Accm: 1.94 (1.94) Acct: 3.12 (3.12) proj_loss: -0.4994 (-0.4994) time: 0.3459 data: 0.0004
[11-25 14:58:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:09:39 tlr: 0.00023 tnm: 0.37 Lm: 7.174 (7.174) Lt: 6.544 (6.544) Accm: 1.99 (1.99) Acct: 3.05 (3.05) proj_loss: -0.5082 (-0.5082) time: 0.3471 data: 0.0003
[11-25 14:58:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:09:39 tlr: 0.00023 tnm: 0.37 Lm: 7.108 (7.108) Lt: 6.445 (6.445) Accm: 2.14 (2.14) Acct: 3.20 (3.20) proj_loss: -0.5136 (-0.5136) time: 0.3470 data: 0.0003
[11-25 14:58:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:09:39 tlr: 0.00023 tnm: 0.37 Lm: 7.057 (7.057) Lt: 6.480 (6.480) Accm: 2.19 (2.19) Acct: 3.32 (3.32) proj_loss: -0.5248 (-0.5248) time: 0.3470 data: 0.0004
[11-25 15:00:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:07:27 tlr: 0.00023 tnm: 0.34 Lm: 7.102 (7.102) Lt: 6.501 (6.501) Accm: 2.10 (2.10) Acct: 3.35 (3.35) proj_loss: -0.5104 (-0.5104) time: 0.3629 data: 0.0002
[11-25 15:00:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:07:27 tlr: 0.00023 tnm: 0.34 Lm: 7.090 (7.090) Lt: 6.472 (6.472) Accm: 2.03 (2.03) Acct: 3.25 (3.25) proj_loss: -0.5112 (-0.5112) time: 0.3629 data: 0.0002
[11-25 15:00:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:07:27 tlr: 0.00023 tnm: 0.34 Lm: 7.094 (7.094) Lt: 6.435 (6.435) Accm: 2.15 (2.15) Acct: 3.37 (3.37) proj_loss: -0.5071 (-0.5071) time: 0.3629 data: 0.0002
[11-25 15:00:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:07:27 tlr: 0.00023 tnm: 0.34 Lm: 7.100 (7.100) Lt: 6.458 (6.458) Accm: 1.98 (1.98) Acct: 3.01 (3.01) proj_loss: -0.5043 (-0.5043) time: 0.3629 data: 0.0003
[11-25 15:03:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.37 Lm: 7.174 (7.133) Lt: 6.544 (6.490) Accm: 1.97 (1.90) Acct: 2.98 (2.94) proj_loss: -0.5059 (-0.5048) time: 0.3589 data: 0.0003
[11-25 15:03:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.37 Lm: 7.052 (7.068) Lt: 6.436 (6.432) Accm: 2.11 (2.05) Acct: 3.31 (3.27) proj_loss: -0.5190 (-0.5138) time: 0.3589 data: 0.0003
[11-25 15:03:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.37 Lm: 7.057 (7.085) Lt: 6.480 (6.481) Accm: 2.01 (2.05) Acct: 3.32 (3.25) proj_loss: -0.5151 (-0.5119) time: 0.3589 data: 0.0002
[11-25 15:03:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.37 Lm: 7.086 (7.092) Lt: 6.429 (6.433) Accm: 2.14 (2.11) Acct: 3.27 (3.33) proj_loss: -0.5111 (-0.5084) time: 0.3589 data: 0.0003
[11-25 15:05:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.35 Lm: 7.102 (7.123) Lt: 6.501 (6.517) Accm: 2.00 (2.04) Acct: 3.28 (3.25) proj_loss: -0.5093 (-0.5098) time: 0.3595 data: 0.0002
[11-25 15:05:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.35 Lm: 7.088 (7.082) Lt: 6.470 (6.450) Accm: 2.03 (1.99) Acct: 3.21 (3.17) proj_loss: -0.5186 (-0.5149) time: 0.3595 data: 0.0003
[11-25 15:05:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.35 Lm: 7.172 (7.142) Lt: 6.549 (6.510) Accm: 1.92 (1.89) Acct: 2.90 (2.91) proj_loss: -0.5071 (-0.5111) time: 0.3595 data: 0.0003
[11-25 15:05:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.35 Lm: 7.090 (7.092) Lt: 6.437 (6.439) Accm: 2.08 (2.05) Acct: 3.24 (3.23) proj_loss: -0.5068 (-0.5069) time: 0.3595 data: 0.0003
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.086 (7.087) Lt: 6.429 (6.436) Accm: 2.03 (2.04) Acct: 3.20 (3.22) proj_loss: -0.5111 (-0.5079) time: 0.3604 data: 0.0018
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:09:57 (0.358 s / it)
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.169 (7.146) Lt: 6.555 (6.530) Accm: 1.86 (1.88) Acct: 2.82 (2.85) proj_loss: -0.5082 (-0.5111) time: 0.3604 data: 0.0018
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.057 (7.077) Lt: 6.436 (6.444) Accm: 2.11 (2.02) Acct: 3.31 (3.21) proj_loss: -0.5183 (-0.5088) time: 0.3603 data: 0.0015
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.140 (7.126) Lt: 6.522 (6.525) Accm: 1.99 (1.96) Acct: 3.24 (3.11) proj_loss: -0.5127 (-0.5104) time: 0.3604 data: 0.0018
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:09:57 (0.358 s / it)
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:09:57 (0.358 s / it)
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:09:57 (0.358 s / it)
[11-25 15:08:05] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 7.084 (7.084), Lt: 6.457 (6.457), Acc m&t: 2.05 3.21, Remain: 2 days, 4:30:35, Finish: 2024-11-27 03:38
[11-25 15:08:05] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 7.084 (7.084), Lt: 6.457 (6.457), Acc m&t: 2.05 3.21, Remain: 2 days, 4:29:19, Finish: 2024-11-27 03:37
[11-25 15:08:05] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 7.084 (7.084), Lt: 6.457 (6.457), Acc m&t: 2.05 3.21, Remain: 2 days, 4:30:23, Finish: 2024-11-27 03:38
[11-25 15:08:05] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 7.084 (7.084), Lt: 6.457 (6.457), Acc m&t: 2.05 3.21, Remain: 2 days, 4:30:49, Finish: 2024-11-27 03:38
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:09:32 tlr: 0.00023 tnm: 0.36 Lm: 7.126 (7.126) Lt: 6.482 (6.482) Accm: 1.90 (1.90) Acct: 3.00 (3.00) proj_loss: -0.4737 (-0.4737) time: 0.3433 data: 0.0003
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:09:49 tlr: 0.00023 tnm: 0.36 Lm: 7.075 (7.075) Lt: 6.406 (6.406) Accm: 2.20 (2.20) Acct: 3.27 (3.27) proj_loss: -0.5064 (-0.5064) time: 0.3533 data: 0.0003
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:09:33 tlr: 0.00023 tnm: 0.36 Lm: 7.128 (7.128) Lt: 6.535 (6.535) Accm: 1.81 (1.81) Acct: 2.84 (2.84) proj_loss: -0.5234 (-0.5234) time: 0.3437 data: 0.0003
[11-25 15:08:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:09:34 tlr: 0.00023 tnm: 0.36 Lm: 6.977 (6.977) Lt: 6.339 (6.339) Accm: 2.35 (2.35) Acct: 3.72 (3.72) proj_loss: -0.5134 (-0.5134) time: 0.3441 data: 0.0003
[11-25 15:10:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.36 Lm: 6.976 (6.976) Lt: 6.365 (6.365) Accm: 2.35 (2.35) Acct: 3.55 (3.55) proj_loss: -0.5119 (-0.5119) time: 0.3573 data: 0.0003
[11-25 15:10:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.36 Lm: 7.125 (7.125) Lt: 6.511 (6.511) Accm: 1.95 (1.95) Acct: 2.93 (2.93) proj_loss: -0.5171 (-0.5171) time: 0.3573 data: 0.0002
[11-25 15:10:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.36 Lm: 7.154 (7.154) Lt: 6.543 (6.543) Accm: 1.91 (1.91) Acct: 2.94 (2.94) proj_loss: -0.5124 (-0.5124) time: 0.3573 data: 0.0002
[11-25 15:10:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.36 Lm: 7.067 (7.067) Lt: 6.437 (6.437) Accm: 2.04 (2.04) Acct: 3.19 (3.19) proj_loss: -0.4859 (-0.4859) time: 0.3573 data: 0.0002
[11-25 15:13:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.038 (7.058) Lt: 6.392 (6.420) Accm: 2.11 (2.06) Acct: 3.24 (3.20) proj_loss: -0.4980 (-0.4967) time: 0.3599 data: 0.0002
[11-25 15:13:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.145 (7.131) Lt: 6.469 (6.497) Accm: 2.06 (1.99) Acct: 3.27 (3.11) proj_loss: -0.5064 (-0.5132) time: 0.3599 data: 0.0003
[11-25 15:13:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.128 (7.130) Lt: 6.535 (6.520) Accm: 2.01 (2.00) Acct: 3.05 (3.05) proj_loss: -0.5130 (-0.5126) time: 0.3599 data: 0.0005
[11-25 15:13:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 6.977 (6.982) Lt: 6.387 (6.372) Accm: 2.35 (2.28) Acct: 3.37 (3.43) proj_loss: -0.5103 (-0.5112) time: 0.3599 data: 0.0003
[11-25 15:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.32 Lm: 6.985 (6.998) Lt: 6.389 (6.377) Accm: 2.24 (2.24) Acct: 3.38 (3.42) proj_loss: -0.5101 (-0.5090) time: 0.3581 data: 0.0003
[11-25 15:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.32 Lm: 7.082 (7.087) Lt: 6.437 (6.438) Accm: 2.00 (2.00) Acct: 3.12 (3.12) proj_loss: -0.5004 (-0.4982) time: 0.3581 data: 0.0002
[11-25 15:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.32 Lm: 7.110 (7.115) Lt: 6.460 (6.485) Accm: 2.10 (2.02) Acct: 3.20 (3.12) proj_loss: -0.5132 (-0.5149) time: 0.3581 data: 0.0002
[11-25 15:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.32 Lm: 7.104 (7.112) Lt: 6.505 (6.492) Accm: 2.09 (2.04) Acct: 3.14 (3.09) proj_loss: -0.5170 (-0.5147) time: 0.3581 data: 0.0002
[11-25 15:18:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 7.128 (7.117) Lt: 6.535 (6.501) Accm: 2.01 (1.97) Acct: 3.05 (3.01) proj_loss: -0.5186 (-0.5155) time: 0.3606 data: 0.0020
[11-25 15:18:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:09:58 (0.359 s / it)
[11-25 15:18:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 7.075 (7.099) Lt: 6.450 (6.461) Accm: 2.13 (2.06) Acct: 3.27 (3.17) proj_loss: -0.5129 (-0.5145) time: 0.3606 data: 0.0017
[11-25 15:18:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 7.038 (7.056) Lt: 6.392 (6.408) Accm: 2.11 (2.05) Acct: 3.24 (3.20) proj_loss: -0.5027 (-0.5005) time: 0.3606 data: 0.0016
[11-25 15:18:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.994 (7.004) Lt: 6.387 (6.371) Accm: 2.13 (2.20) Acct: 3.37 (3.41) proj_loss: -0.5098 (-0.5017) time: 0.3606 data: 0.0015
[11-25 15:18:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:09:58 (0.359 s / it)
[11-25 15:18:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:09:58 (0.359 s / it)
[11-25 15:18:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:09:58 (0.359 s / it)
[11-25 15:18:03] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 7.078 (7.078), Lt: 6.449 (6.449), Acc m&t: 2.05 3.21, Remain: 2 days, 4:37:47, Finish: 2024-11-27 03:55
[11-25 15:18:03] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 7.078 (7.078), Lt: 6.449 (6.449), Acc m&t: 2.05 3.21, Remain: 2 days, 4:36:47, Finish: 2024-11-27 03:54
[11-25 15:18:03] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 7.078 (7.078), Lt: 6.449 (6.449), Acc m&t: 2.05 3.21, Remain: 2 days, 4:36:05, Finish: 2024-11-27 03:54
[11-25 15:18:03] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 7.078 (7.078), Lt: 6.449 (6.449), Acc m&t: 2.05 3.21, Remain: 2 days, 4:36:11, Finish: 2024-11-27 03:54
[11-25 15:18:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:09:34 tlr: 0.00023 tnm: 0.34 Lm: 7.130 (7.130) Lt: 6.500 (6.500) Accm: 1.84 (1.84) Acct: 2.88 (2.88) proj_loss: -0.5090 (-0.5090) time: 0.3443 data: 0.0003
[11-25 15:18:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:09:35 tlr: 0.00023 tnm: 0.34 Lm: 7.239 (7.239) Lt: 6.643 (6.643) Accm: 1.67 (1.67) Acct: 2.63 (2.63) proj_loss: -0.5127 (-0.5127) time: 0.3447 data: 0.0004
[11-25 15:18:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:09:54 tlr: 0.00023 tnm: 0.34 Lm: 7.042 (7.042) Lt: 6.375 (6.375) Accm: 2.02 (2.02) Acct: 3.19 (3.19) proj_loss: -0.5130 (-0.5130) time: 0.3565 data: 0.0004
[11-25 15:18:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:09:36 tlr: 0.00023 tnm: 0.34 Lm: 7.195 (7.195) Lt: 6.589 (6.589) Accm: 1.81 (1.81) Acct: 2.75 (2.75) proj_loss: -0.5006 (-0.5006) time: 0.3451 data: 0.0004
[11-25 15:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.34 Lm: 7.162 (7.162) Lt: 6.535 (6.535) Accm: 1.89 (1.89) Acct: 2.93 (2.93) proj_loss: -0.5000 (-0.5000) time: 0.3590 data: 0.0004
[11-25 15:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.34 Lm: 7.189 (7.189) Lt: 6.587 (6.587) Accm: 1.78 (1.78) Acct: 2.76 (2.76) proj_loss: -0.5092 (-0.5092) time: 0.3590 data: 0.0003
[11-25 15:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.34 Lm: 6.983 (6.983) Lt: 6.340 (6.340) Accm: 2.17 (2.17) Acct: 3.35 (3.35) proj_loss: -0.5148 (-0.5148) time: 0.3590 data: 0.0002
[11-25 15:20:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:32 tlr: 0.00023 tnm: 0.34 Lm: 7.105 (7.105) Lt: 6.476 (6.476) Accm: 2.00 (2.00) Acct: 3.20 (3.20) proj_loss: -0.5159 (-0.5159) time: 0.3590 data: 0.0002
[11-25 15:23:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.36 Lm: 7.079 (7.094) Lt: 6.451 (6.455) Accm: 2.16 (2.07) Acct: 3.53 (3.34) proj_loss: -0.5090 (-0.5111) time: 0.3574 data: 0.0003
[11-25 15:23:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.36 Lm: 6.969 (6.978) Lt: 6.363 (6.347) Accm: 2.33 (2.23) Acct: 3.51 (3.41) proj_loss: -0.5167 (-0.5156) time: 0.3574 data: 0.0003
[11-25 15:23:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.36 Lm: 7.144 (7.174) Lt: 6.560 (6.578) Accm: 1.76 (1.78) Acct: 2.63 (2.71) proj_loss: -0.5127 (-0.5145) time: 0.3574 data: 0.0002
[11-25 15:23:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.36 Lm: 7.128 (7.148) Lt: 6.480 (6.515) Accm: 1.97 (1.93) Acct: 3.10 (3.01) proj_loss: -0.5006 (-0.5009) time: 0.3574 data: 0.0002
[11-25 15:25:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.33 Lm: 7.124 (7.117) Lt: 6.478 (6.483) Accm: 1.99 (1.99) Acct: 3.14 (3.13) proj_loss: -0.5018 (-0.5046) time: 0.3594 data: 0.0002
[11-25 15:25:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.33 Lm: 7.142 (7.142) Lt: 6.546 (6.539) Accm: 1.83 (1.87) Acct: 2.76 (2.87) proj_loss: -0.5092 (-0.5113) time: 0.3594 data: 0.0003
[11-25 15:25:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.33 Lm: 6.969 (6.976) Lt: 6.334 (6.329) Accm: 2.33 (2.25) Acct: 3.52 (3.49) proj_loss: -0.5169 (-0.5168) time: 0.3594 data: 0.0002
[11-25 15:25:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.33 Lm: 7.076 (7.078) Lt: 6.442 (6.449) Accm: 2.10 (2.07) Acct: 3.39 (3.32) proj_loss: -0.5143 (-0.5133) time: 0.3594 data: 0.0002
[11-25 15:28:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 7.079 (7.082) Lt: 6.451 (6.459) Accm: 2.11 (2.08) Acct: 3.25 (3.29) proj_loss: -0.5197 (-0.5163) time: 0.3620 data: 0.0017
[11-25 15:28:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:16 (0.370 s / it)
[11-25 15:28:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.969 (6.948) Lt: 6.305 (6.298) Accm: 2.33 (2.36) Acct: 3.53 (3.63) proj_loss: -0.5167 (-0.5151) time: 0.3620 data: 0.0016
[11-25 15:28:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 7.144 (7.163) Lt: 6.560 (6.565) Accm: 1.76 (1.85) Acct: 2.67 (2.83) proj_loss: -0.5127 (-0.5143) time: 0.3620 data: 0.0019
[11-25 15:28:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 7.128 (7.124) Lt: 6.480 (6.489) Accm: 1.97 (1.97) Acct: 3.10 (3.04) proj_loss: -0.5006 (-0.5032) time: 0.3620 data: 0.0017
[11-25 15:28:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:16 (0.370 s / it)
[11-25 15:28:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:16 (0.370 s / it)
[11-25 15:28:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:16 (0.370 s / it)
[11-25 15:28:20] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 7.065 (7.065), Lt: 6.432 (6.432), Acc m&t: 2.07 3.21, Remain: 2 days, 4:25:54, Finish: 2024-11-27 03:54
[11-25 15:28:20] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 7.065 (7.065), Lt: 6.432 (6.432), Acc m&t: 2.07 3.21, Remain: 2 days, 4:25:57, Finish: 2024-11-27 03:54
[11-25 15:28:20] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 7.065 (7.065), Lt: 6.432 (6.432), Acc m&t: 2.07 3.21, Remain: 2 days, 4:25:14, Finish: 2024-11-27 03:53
[11-25 15:28:20] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 7.065 (7.065), Lt: 6.432 (6.432), Acc m&t: 2.07 3.21, Remain: 2 days, 4:27:54, Finish: 2024-11-27 03:56
[11-25 15:28:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:09:36 tlr: 0.00023 tnm: 0.35 Lm: 7.013 (7.013) Lt: 6.337 (6.337) Accm: 2.34 (2.34) Acct: 3.50 (3.50) proj_loss: -0.5311 (-0.5311) time: 0.3455 data: 0.0003
[11-25 15:28:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:09:37 tlr: 0.00023 tnm: 0.35 Lm: 7.078 (7.078) Lt: 6.429 (6.429) Accm: 2.15 (2.15) Acct: 3.48 (3.48) proj_loss: -0.5081 (-0.5081) time: 0.3460 data: 0.0004
[11-25 15:28:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:09:38 tlr: 0.00023 tnm: 0.35 Lm: 6.956 (6.956) Lt: 6.299 (6.299) Accm: 2.51 (2.51) Acct: 3.55 (3.55) proj_loss: -0.5123 (-0.5123) time: 0.3463 data: 0.0004
[11-25 15:28:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:09:41 tlr: 0.00023 tnm: 0.35 Lm: 7.037 (7.037) Lt: 6.426 (6.426) Accm: 1.88 (1.88) Acct: 2.91 (2.91) proj_loss: -0.4990 (-0.4990) time: 0.3481 data: 0.0004
[11-25 15:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:07:27 tlr: 0.00023 tnm: 0.32 Lm: 7.050 (7.050) Lt: 6.424 (6.424) Accm: 2.03 (2.03) Acct: 3.09 (3.09) proj_loss: -0.5083 (-0.5083) time: 0.3571 data: 0.0003
[11-25 15:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:07:27 tlr: 0.00023 tnm: 0.32 Lm: 7.108 (7.108) Lt: 6.475 (6.475) Accm: 2.00 (2.00) Acct: 3.16 (3.16) proj_loss: -0.5174 (-0.5174) time: 0.3571 data: 0.0002
[11-25 15:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:07:27 tlr: 0.00023 tnm: 0.32 Lm: 6.907 (6.907) Lt: 6.280 (6.280) Accm: 2.50 (2.50) Acct: 3.73 (3.73) proj_loss: -0.5090 (-0.5090) time: 0.3571 data: 0.0003
[11-25 15:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:07:27 tlr: 0.00023 tnm: 0.32 Lm: 7.068 (7.068) Lt: 6.433 (6.433) Accm: 2.13 (2.13) Acct: 3.25 (3.25) proj_loss: -0.5236 (-0.5236) time: 0.3571 data: 0.0002
[11-25 15:33:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.124 (7.097) Lt: 6.529 (6.477) Accm: 2.04 (2.10) Acct: 3.20 (3.23) proj_loss: -0.5161 (-0.5183) time: 0.3588 data: 0.0002
[11-25 15:33:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 6.956 (6.948) Lt: 6.299 (6.322) Accm: 2.49 (2.41) Acct: 3.55 (3.62) proj_loss: -0.5123 (-0.5138) time: 0.3588 data: 0.0002
[11-25 15:33:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.078 (7.067) Lt: 6.429 (6.440) Accm: 2.15 (2.09) Acct: 3.32 (3.21) proj_loss: -0.5267 (-0.5236) time: 0.3588 data: 0.0002
[11-25 15:33:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.064 (7.097) Lt: 6.426 (6.476) Accm: 2.04 (2.03) Acct: 3.06 (3.08) proj_loss: -0.5086 (-0.5084) time: 0.3588 data: 0.0003
[11-25 15:35:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.38 Lm: 7.094 (7.078) Lt: 6.436 (6.441) Accm: 2.10 (2.08) Acct: 3.31 (3.24) proj_loss: -0.5174 (-0.5177) time: 0.3564 data: 0.0002
[11-25 15:35:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.38 Lm: 7.068 (7.042) Lt: 6.433 (6.425) Accm: 2.19 (2.17) Acct: 3.35 (3.30) proj_loss: -0.5183 (-0.5188) time: 0.3564 data: 0.0002
[11-25 15:35:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.38 Lm: 6.993 (7.001) Lt: 6.352 (6.372) Accm: 2.37 (2.31) Acct: 3.48 (3.42) proj_loss: -0.5099 (-0.5123) time: 0.3564 data: 0.0002
[11-25 15:35:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.38 Lm: 7.050 (7.042) Lt: 6.424 (6.410) Accm: 2.11 (2.17) Acct: 3.17 (3.32) proj_loss: -0.5125 (-0.5104) time: 0.3564 data: 0.0003
[11-25 15:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.037 (7.029) Lt: 6.421 (6.394) Accm: 2.17 (2.17) Acct: 3.27 (3.36) proj_loss: -0.5100 (-0.5104) time: 0.3618 data: 0.0017
[11-25 15:38:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:09:58 (0.358 s / it)
[11-25 15:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.108 (7.084) Lt: 6.439 (6.441) Accm: 2.05 (2.04) Acct: 3.31 (3.22) proj_loss: -0.5081 (-0.5138) time: 0.3618 data: 0.0019
[11-25 15:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.042 (7.042) Lt: 6.368 (6.413) Accm: 2.32 (2.20) Acct: 3.50 (3.38) proj_loss: -0.5205 (-0.5212) time: 0.3618 data: 0.0020
[11-25 15:38:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.030 (7.013) Lt: 6.405 (6.399) Accm: 2.24 (2.25) Acct: 3.41 (3.41) proj_loss: -0.5123 (-0.5139) time: 0.3618 data: 0.0016
[11-25 15:38:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:09:58 (0.358 s / it)
[11-25 15:38:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:09:58 (0.358 s / it)
[11-25 15:38:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:09:58 (0.358 s / it)
[11-25 15:38:18] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 7.051 (7.051), Lt: 6.416 (6.416), Acc m&t: 2.11 3.27, Remain: 2 days, 4:19:04, Finish: 2024-11-27 03:57
[11-25 15:38:18] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 7.051 (7.051), Lt: 6.416 (6.416), Acc m&t: 2.11 3.27, Remain: 2 days, 4:19:34, Finish: 2024-11-27 03:57
[11-25 15:38:18] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 7.051 (7.051), Lt: 6.416 (6.416), Acc m&t: 2.11 3.27, Remain: 2 days, 4:18:59, Finish: 2024-11-27 03:57
[11-25 15:38:18] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 7.051 (7.051), Lt: 6.416 (6.416), Acc m&t: 2.11 3.27, Remain: 2 days, 4:19:41, Finish: 2024-11-27 03:58
[11-25 15:38:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:09:35 tlr: 0.00023 tnm: 0.32 Lm: 7.056 (7.056) Lt: 6.441 (6.441) Accm: 2.15 (2.15) Acct: 3.32 (3.32) proj_loss: -0.5032 (-0.5032) time: 0.3446 data: 0.0003
[11-25 15:38:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:09:35 tlr: 0.00023 tnm: 0.32 Lm: 7.104 (7.104) Lt: 6.368 (6.368) Accm: 2.17 (2.17) Acct: 3.63 (3.63) proj_loss: -0.5133 (-0.5133) time: 0.3449 data: 0.0003
[11-25 15:38:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:09:35 tlr: 0.00023 tnm: 0.32 Lm: 7.026 (7.026) Lt: 6.396 (6.396) Accm: 2.28 (2.28) Acct: 3.75 (3.75) proj_loss: -0.5045 (-0.5045) time: 0.3448 data: 0.0004
[11-25 15:38:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:09:36 tlr: 0.00023 tnm: 0.32 Lm: 7.012 (7.012) Lt: 6.366 (6.366) Accm: 2.24 (2.24) Acct: 3.22 (3.22) proj_loss: -0.4998 (-0.4998) time: 0.3455 data: 0.0003
[11-25 15:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.35 Lm: 7.041 (7.041) Lt: 6.386 (6.386) Accm: 2.13 (2.13) Acct: 3.26 (3.26) proj_loss: -0.5077 (-0.5077) time: 0.3594 data: 0.0002
[11-25 15:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.35 Lm: 6.991 (6.991) Lt: 6.340 (6.340) Accm: 2.28 (2.28) Acct: 3.56 (3.56) proj_loss: -0.5055 (-0.5055) time: 0.3594 data: 0.0003
[11-25 15:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.35 Lm: 7.049 (7.049) Lt: 6.340 (6.340) Accm: 2.26 (2.26) Acct: 3.64 (3.64) proj_loss: -0.5053 (-0.5053) time: 0.3594 data: 0.0002
[11-25 15:40:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.35 Lm: 7.007 (7.007) Lt: 6.377 (6.377) Accm: 2.27 (2.27) Acct: 3.62 (3.62) proj_loss: -0.5093 (-0.5093) time: 0.3594 data: 0.0003
[11-25 15:43:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 6.989 (6.985) Lt: 6.357 (6.343) Accm: 2.28 (2.31) Acct: 3.70 (3.65) proj_loss: -0.5086 (-0.5090) time: 0.3581 data: 0.0003
[11-25 15:43:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.104 (7.075) Lt: 6.368 (6.403) Accm: 2.17 (2.16) Acct: 3.63 (3.48) proj_loss: -0.5133 (-0.5151) time: 0.3581 data: 0.0002
[11-25 15:43:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.012 (7.022) Lt: 6.366 (6.354) Accm: 2.04 (2.10) Acct: 3.29 (3.27) proj_loss: -0.5055 (-0.5070) time: 0.3581 data: 0.0003
[11-25 15:43:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.056 (7.072) Lt: 6.441 (6.442) Accm: 2.15 (2.08) Acct: 3.32 (3.24) proj_loss: -0.5079 (-0.5079) time: 0.3581 data: 0.0003
[11-25 15:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.36 Lm: 7.024 (7.051) Lt: 6.382 (6.412) Accm: 2.16 (2.10) Acct: 3.42 (3.31) proj_loss: -0.5089 (-0.5084) time: 0.3601 data: 0.0003
[11-25 15:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.36 Lm: 7.093 (7.076) Lt: 6.387 (6.404) Accm: 2.06 (2.10) Acct: 3.39 (3.35) proj_loss: -0.5105 (-0.5132) time: 0.3601 data: 0.0002
[11-25 15:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.36 Lm: 7.007 (7.006) Lt: 6.377 (6.364) Accm: 2.27 (2.27) Acct: 3.64 (3.63) proj_loss: -0.5113 (-0.5124) time: 0.3601 data: 0.0003
[11-25 15:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:29 tlr: 0.00023 tnm: 0.36 Lm: 7.036 (7.032) Lt: 6.386 (6.386) Accm: 2.04 (2.08) Acct: 3.25 (3.23) proj_loss: -0.5106 (-0.5122) time: 0.3601 data: 0.0003
[11-25 15:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 7.061 (7.039) Lt: 6.406 (6.396) Accm: 2.03 (2.06) Acct: 3.22 (3.20) proj_loss: -0.5156 (-0.5141) time: 0.3607 data: 0.0018
[11-25 15:48:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:09:58 (0.358 s / it)
[11-25 15:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 7.104 (7.086) Lt: 6.406 (6.427) Accm: 1.95 (2.06) Acct: 3.15 (3.23) proj_loss: -0.5133 (-0.5168) time: 0.3607 data: 0.0015
[11-25 15:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 7.021 (7.009) Lt: 6.396 (6.374) Accm: 2.27 (2.22) Acct: 3.58 (3.50) proj_loss: -0.5141 (-0.5160) time: 0.3607 data: 0.0018
[11-25 15:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 7.056 (7.053) Lt: 6.441 (6.428) Accm: 2.15 (2.08) Acct: 3.32 (3.26) proj_loss: -0.5099 (-0.5113) time: 0.3607 data: 0.0015
[11-25 15:48:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:09:58 (0.358 s / it)
[11-25 15:48:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:09:58 (0.358 s / it)
[11-25 15:48:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:09:58 (0.358 s / it)
[11-25 15:50:17] (home/user/VAR/trainer.py, line 114)=> FID: 7.86025609413133
[11-25 15:50:17] (/home/user/VAR/train.py , line 259)=> [*] [ep39] (val 50000) Lm: 7.0523, Lt: 6.4145, Acc m&t: 2.11 3.29, Val cost: 120.10s
[11-25 15:50:17] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-25 15:50:34] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 7.051 (7.052), Lt: 6.415 (6.415), Acc m&t: 2.11 3.29, Remain: 2 days, 4:00:31, Finish: 2024-11-27 03:48
[11-25 15:50:34] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 7.051 (7.052), Lt: 6.415 (6.415), Acc m&t: 2.11 3.29, Remain: 2 days, 4:00:11, Finish: 2024-11-27 03:48
[11-25 15:50:34] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 7.051 (7.052), Lt: 6.415 (6.415), Acc m&t: 2.11 3.29, Remain: 2 days, 4:00:02, Finish: 2024-11-27 03:48
[11-25 15:50:34] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 7.051 (7.052), Lt: 6.415 (6.415), Acc m&t: 2.11 3.29, Remain: 2 days, 4:00:42, Finish: 2024-11-27 03:48
[11-25 15:50:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:09:49 tlr: 0.00023 tnm: 0.33 Lm: 7.091 (7.091) Lt: 6.445 (6.445) Accm: 2.11 (2.11) Acct: 3.41 (3.41) proj_loss: -0.5062 (-0.5062) time: 0.3534 data: 0.0003
[11-25 15:50:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:09:51 tlr: 0.00023 tnm: 0.33 Lm: 7.157 (7.157) Lt: 6.547 (6.547) Accm: 1.81 (1.81) Acct: 2.84 (2.84) proj_loss: -0.5264 (-0.5264) time: 0.3542 data: 0.0003
[11-25 15:50:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:09:50 tlr: 0.00023 tnm: 0.33 Lm: 7.131 (7.131) Lt: 6.525 (6.525) Accm: 1.95 (1.95) Acct: 2.84 (2.84) proj_loss: -0.5226 (-0.5226) time: 0.3537 data: 0.0004
[11-25 15:50:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:10:13 tlr: 0.00023 tnm: 0.33 Lm: 7.094 (7.094) Lt: 6.448 (6.448) Accm: 1.76 (1.76) Acct: 2.77 (2.77) proj_loss: -0.5167 (-0.5167) time: 0.3678 data: 0.0003
[11-25 15:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:08:22 tlr: 0.00023 tnm: 0.37 Lm: 7.011 (7.011) Lt: 6.375 (6.375) Accm: 2.04 (2.04) Acct: 3.19 (3.19) proj_loss: -0.5133 (-0.5133) time: 0.4007 data: 0.0002
[11-25 15:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:08:22 tlr: 0.00023 tnm: 0.37 Lm: 7.038 (7.038) Lt: 6.405 (6.405) Accm: 2.21 (2.21) Acct: 3.57 (3.57) proj_loss: -0.5161 (-0.5161) time: 0.4007 data: 0.0003
[11-25 15:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:08:22 tlr: 0.00023 tnm: 0.37 Lm: 7.018 (7.018) Lt: 6.389 (6.389) Accm: 2.11 (2.11) Acct: 3.17 (3.17) proj_loss: -0.5199 (-0.5199) time: 0.4007 data: 0.0003
[11-25 15:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:08:22 tlr: 0.00023 tnm: 0.37 Lm: 7.048 (7.048) Lt: 6.387 (6.387) Accm: 2.09 (2.09) Acct: 3.44 (3.44) proj_loss: -0.5220 (-0.5220) time: 0.4007 data: 0.0003
[11-25 15:55:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.36 Lm: 7.157 (7.086) Lt: 6.547 (6.443) Accm: 1.81 (1.95) Acct: 2.84 (3.12) proj_loss: -0.5195 (-0.5212) time: 0.3591 data: 0.0002
[11-25 15:55:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.36 Lm: 6.986 (7.016) Lt: 6.364 (6.376) Accm: 2.13 (2.18) Acct: 3.41 (3.46) proj_loss: -0.5217 (-0.5180) time: 0.3592 data: 0.0003
[11-25 15:55:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.36 Lm: 7.131 (7.058) Lt: 6.511 (6.430) Accm: 1.95 (2.00) Acct: 3.00 (3.11) proj_loss: -0.5197 (-0.5198) time: 0.3591 data: 0.0003
[11-25 15:55:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.36 Lm: 7.000 (7.007) Lt: 6.328 (6.359) Accm: 2.09 (2.06) Acct: 3.34 (3.24) proj_loss: -0.5100 (-0.5110) time: 0.3591 data: 0.0002
[11-25 15:58:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.33 Lm: 7.047 (7.055) Lt: 6.388 (6.416) Accm: 1.93 (1.96) Acct: 3.06 (3.06) proj_loss: -0.5133 (-0.5142) time: 0.3585 data: 0.0002
[11-25 15:58:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.33 Lm: 7.038 (7.051) Lt: 6.405 (6.409) Accm: 2.12 (2.10) Acct: 3.32 (3.29) proj_loss: -0.5166 (-0.5164) time: 0.3585 data: 0.0003
[11-25 15:58:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.33 Lm: 7.115 (7.083) Lt: 6.528 (6.460) Accm: 1.80 (1.91) Acct: 2.76 (3.01) proj_loss: -0.5230 (-0.5240) time: 0.3585 data: 0.0003
[11-25 15:58:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:35 tlr: 0.00023 tnm: 0.33 Lm: 7.108 (7.065) Lt: 6.473 (6.431) Accm: 1.96 (1.99) Acct: 2.96 (3.06) proj_loss: -0.5211 (-0.5210) time: 0.3585 data: 0.0002
[11-25 16:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.086 (7.058) Lt: 6.435 (6.428) Accm: 1.96 (2.01) Acct: 3.00 (3.11) proj_loss: -0.5226 (-0.5255) time: 0.3622 data: 0.0018
[11-25 16:00:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:17 (0.370 s / it)
[11-25 16:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.091 (7.064) Lt: 6.445 (6.428) Accm: 2.12 (2.11) Acct: 3.27 (3.29) proj_loss: -0.5160 (-0.5163) time: 0.3622 data: 0.0017
[11-25 16:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.094 (7.065) Lt: 6.448 (6.425) Accm: 2.08 (1.99) Acct: 3.03 (3.05) proj_loss: -0.5166 (-0.5147) time: 0.3622 data: 0.0017
[11-25 16:00:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 7.073 (7.079) Lt: 6.509 (6.452) Accm: 1.81 (1.98) Acct: 2.84 (3.10) proj_loss: -0.5195 (-0.5215) time: 0.3622 data: 0.0019
[11-25 16:00:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:17 (0.370 s / it)
[11-25 16:00:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:17 (0.370 s / it)
[11-25 16:00:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:17 (0.370 s / it)
[11-25 16:00:51] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 7.051 (7.071), Lt: 6.415 (6.436), Acc m&t: 2.11 3.29, Remain: 2 days, 3:58:55, Finish: 2024-11-27 03:59
[11-25 16:00:51] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 7.051 (7.071), Lt: 6.415 (6.436), Acc m&t: 2.11 3.29, Remain: 2 days, 4:00:16, Finish: 2024-11-27 04:01
[11-25 16:00:51] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 7.051 (7.071), Lt: 6.415 (6.436), Acc m&t: 2.11 3.29, Remain: 2 days, 3:59:02, Finish: 2024-11-27 03:59
[11-25 16:00:51] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 7.051 (7.071), Lt: 6.415 (6.436), Acc m&t: 2.11 3.29, Remain: 2 days, 4:01:36, Finish: 2024-11-27 04:02
[11-25 16:00:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:09:47 tlr: 0.00023 tnm: 0.32 Lm: 7.043 (7.043) Lt: 6.369 (6.369) Accm: 1.99 (1.99) Acct: 3.15 (3.15) proj_loss: -0.5051 (-0.5051) time: 0.3522 data: 0.0004
[11-25 16:00:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:09:29 tlr: 0.00023 tnm: 0.32 Lm: 7.030 (7.030) Lt: 6.392 (6.392) Accm: 1.92 (1.92) Acct: 2.98 (2.98) proj_loss: -0.5048 (-0.5048) time: 0.3412 data: 0.0004
[11-25 16:00:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:09:30 tlr: 0.00023 tnm: 0.32 Lm: 7.140 (7.140) Lt: 6.510 (6.510) Accm: 2.01 (2.01) Acct: 3.10 (3.10) proj_loss: -0.5012 (-0.5012) time: 0.3417 data: 0.0003
[11-25 16:00:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:09:30 tlr: 0.00023 tnm: 0.32 Lm: 7.061 (7.061) Lt: 6.467 (6.467) Accm: 2.00 (2.00) Acct: 3.00 (3.00) proj_loss: -0.5109 (-0.5109) time: 0.3416 data: 0.0003
[11-25 16:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.36 Lm: 7.125 (7.125) Lt: 6.503 (6.503) Accm: 1.82 (1.82) Acct: 2.75 (2.75) proj_loss: -0.5116 (-0.5116) time: 0.3599 data: 0.0003
[11-25 16:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.36 Lm: 7.100 (7.100) Lt: 6.454 (6.454) Accm: 1.85 (1.85) Acct: 2.90 (2.90) proj_loss: -0.5050 (-0.5050) time: 0.3599 data: 0.0003
[11-25 16:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.36 Lm: 7.064 (7.064) Lt: 6.388 (6.388) Accm: 2.08 (2.08) Acct: 3.23 (3.23) proj_loss: -0.5164 (-0.5164) time: 0.3599 data: 0.0002
[11-25 16:03:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.36 Lm: 7.156 (7.156) Lt: 6.541 (6.541) Accm: 1.79 (1.79) Acct: 2.72 (2.72) proj_loss: -0.5110 (-0.5110) time: 0.3599 data: 0.0003
[11-25 16:05:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:00 tlr: 0.00023 tnm: 0.38 Lm: 7.140 (7.130) Lt: 6.510 (6.517) Accm: 1.77 (1.78) Acct: 3.00 (2.81) proj_loss: -0.5097 (-0.5106) time: 0.3599 data: 0.0003
[11-25 16:05:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:00 tlr: 0.00023 tnm: 0.38 Lm: 7.043 (7.016) Lt: 6.369 (6.352) Accm: 2.16 (2.16) Acct: 3.31 (3.36) proj_loss: -0.5051 (-0.5104) time: 0.3599 data: 0.0002
[11-25 16:05:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:00 tlr: 0.00023 tnm: 0.38 Lm: 7.030 (7.040) Lt: 6.392 (6.396) Accm: 1.92 (2.10) Acct: 2.98 (3.36) proj_loss: -0.5052 (-0.5066) time: 0.3599 data: 0.0003
[11-25 16:05:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:00 tlr: 0.00023 tnm: 0.38 Lm: 7.132 (7.127) Lt: 6.538 (6.517) Accm: 2.00 (1.93) Acct: 3.00 (2.90) proj_loss: -0.5122 (-0.5162) time: 0.3599 data: 0.0002
[11-25 16:08:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.35 Lm: 7.096 (7.094) Lt: 6.503 (6.487) Accm: 2.07 (2.01) Acct: 3.10 (3.08) proj_loss: -0.5116 (-0.5139) time: 0.3575 data: 0.0003
[11-25 16:08:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.35 Lm: 7.083 (7.064) Lt: 6.450 (6.424) Accm: 1.88 (2.03) Acct: 3.00 (3.28) proj_loss: -0.5075 (-0.5109) time: 0.3575 data: 0.0002
[11-25 16:08:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.35 Lm: 7.062 (7.032) Lt: 6.388 (6.379) Accm: 2.09 (2.12) Acct: 3.23 (3.28) proj_loss: -0.5115 (-0.5123) time: 0.3575 data: 0.0002
[11-25 16:08:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.35 Lm: 7.138 (7.131) Lt: 6.503 (6.512) Accm: 1.82 (1.80) Acct: 3.01 (2.87) proj_loss: -0.5153 (-0.5145) time: 0.3575 data: 0.0003
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 7.140 (7.135) Lt: 6.510 (6.516) Accm: 1.86 (1.86) Acct: 3.03 (2.96) proj_loss: -0.5160 (-0.5148) time: 0.3607 data: 0.0018
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:10:00 (0.360 s / it)
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 7.030 (7.044) Lt: 6.392 (6.409) Accm: 1.92 (2.05) Acct: 3.03 (3.27) proj_loss: -0.5098 (-0.5136) time: 0.3607 data: 0.0015
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 7.043 (6.966) Lt: 6.369 (6.312) Accm: 2.16 (2.32) Acct: 3.31 (3.56) proj_loss: -0.5180 (-0.5164) time: 0.3607 data: 0.0018
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 7.061 (7.084) Lt: 6.467 (6.478) Accm: 2.13 (2.04) Acct: 3.20 (3.13) proj_loss: -0.5122 (-0.5186) time: 0.3607 data: 0.0018
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:10:00 (0.360 s / it)
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:10:00 (0.360 s / it)
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:10:00 (0.360 s / it)
[11-25 16:10:52] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 7.051 (7.066), Lt: 6.415 (6.428), Acc m&t: 2.11 3.29, Remain: 2 days, 3:50:59, Finish: 2024-11-27 04:01
[11-25 16:10:52] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 7.051 (7.066), Lt: 6.415 (6.428), Acc m&t: 2.11 3.29, Remain: 2 days, 3:51:49, Finish: 2024-11-27 04:02
[11-25 16:10:52] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 7.051 (7.066), Lt: 6.415 (6.428), Acc m&t: 2.11 3.29, Remain: 2 days, 3:49:28, Finish: 2024-11-27 04:00
[11-25 16:10:52] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 7.051 (7.066), Lt: 6.415 (6.428), Acc m&t: 2.11 3.29, Remain: 2 days, 3:50:45, Finish: 2024-11-27 04:01
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:09:39 tlr: 0.00023 tnm: 0.33 Lm: 7.139 (7.139) Lt: 6.561 (6.561) Accm: 1.93 (1.93) Acct: 2.94 (2.94) proj_loss: -0.5281 (-0.5281) time: 0.3472 data: 0.0004
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:09:38 tlr: 0.00023 tnm: 0.33 Lm: 6.900 (6.900) Lt: 6.268 (6.268) Accm: 2.51 (2.51) Acct: 3.75 (3.75) proj_loss: -0.5155 (-0.5155) time: 0.3468 data: 0.0004
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:09:44 tlr: 0.00023 tnm: 0.33 Lm: 7.025 (7.025) Lt: 6.410 (6.410) Accm: 2.22 (2.22) Acct: 3.20 (3.20) proj_loss: -0.5109 (-0.5109) time: 0.3504 data: 0.0003
[11-25 16:10:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:09:40 tlr: 0.00023 tnm: 0.33 Lm: 7.181 (7.181) Lt: 6.576 (6.576) Accm: 1.84 (1.84) Acct: 2.77 (2.77) proj_loss: -0.5127 (-0.5127) time: 0.3478 data: 0.0004
[11-25 16:13:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.33 Lm: 7.168 (7.168) Lt: 6.551 (6.551) Accm: 1.80 (1.80) Acct: 2.76 (2.76) proj_loss: -0.5101 (-0.5101) time: 0.3603 data: 0.0003
[11-25 16:13:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.33 Lm: 6.974 (6.974) Lt: 6.330 (6.330) Accm: 2.24 (2.24) Acct: 3.34 (3.34) proj_loss: -0.4982 (-0.4982) time: 0.3603 data: 0.0003
[11-25 16:13:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.33 Lm: 7.087 (7.087) Lt: 6.467 (6.467) Accm: 1.96 (1.96) Acct: 2.94 (2.94) proj_loss: -0.5305 (-0.5305) time: 0.3603 data: 0.0002
[11-25 16:13:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:29 tlr: 0.00023 tnm: 0.33 Lm: 6.986 (6.986) Lt: 6.323 (6.323) Accm: 2.24 (2.24) Acct: 3.35 (3.35) proj_loss: -0.5110 (-0.5110) time: 0.3603 data: 0.0003
[11-25 16:15:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.020 (6.998) Lt: 6.410 (6.367) Accm: 2.23 (2.24) Acct: 3.39 (3.36) proj_loss: -0.5110 (-0.5231) time: 0.3601 data: 0.0003
[11-25 16:15:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.048 (7.004) Lt: 6.393 (6.363) Accm: 2.05 (2.18) Acct: 3.10 (3.26) proj_loss: -0.5155 (-0.5109) time: 0.3601 data: 0.0003
[11-25 16:15:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.101 (7.092) Lt: 6.479 (6.471) Accm: 2.00 (1.98) Acct: 2.94 (2.98) proj_loss: -0.5281 (-0.5226) time: 0.3600 data: 0.0002
[11-25 16:15:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:04:59 tlr: 0.00023 tnm: 0.36 Lm: 7.155 (7.102) Lt: 6.526 (6.483) Accm: 1.84 (1.97) Acct: 2.77 (3.05) proj_loss: -0.5127 (-0.5131) time: 0.3601 data: 0.0003
[11-25 16:18:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.33 Lm: 7.063 (7.063) Lt: 6.437 (6.438) Accm: 1.96 (2.00) Acct: 3.04 (3.12) proj_loss: -0.5160 (-0.5166) time: 0.3622 data: 0.0002
[11-25 16:18:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.33 Lm: 7.103 (7.095) Lt: 6.481 (6.474) Accm: 1.96 (1.93) Acct: 2.94 (2.94) proj_loss: -0.5175 (-0.5180) time: 0.3608 data: 0.0003
[11-25 16:18:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.33 Lm: 7.041 (7.011) Lt: 6.393 (6.371) Accm: 2.06 (2.15) Acct: 3.12 (3.23) proj_loss: -0.5172 (-0.5129) time: 0.3623 data: 0.0003
[11-25 16:18:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:30 tlr: 0.00023 tnm: 0.33 Lm: 7.022 (7.005) Lt: 6.417 (6.381) Accm: 2.23 (2.17) Acct: 3.30 (3.28) proj_loss: -0.5146 (-0.5218) time: 0.3622 data: 0.0003
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 7.025 (7.036) Lt: 6.423 (6.420) Accm: 2.22 (2.12) Acct: 3.20 (3.15) proj_loss: -0.5181 (-0.5225) time: 0.4130 data: 0.0017
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:02 (0.361 s / it)
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 7.048 (7.026) Lt: 6.394 (6.376) Accm: 2.06 (2.13) Acct: 3.13 (3.21) proj_loss: -0.5155 (-0.5114) time: 0.4130 data: 0.0016
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 6.971 (7.043) Lt: 6.348 (6.419) Accm: 2.08 (2.07) Acct: 3.31 (3.18) proj_loss: -0.5127 (-0.5153) time: 0.4130 data: 0.0021
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.37 Lm: 7.101 (7.078) Lt: 6.479 (6.438) Accm: 2.00 (1.99) Acct: 2.94 (3.04) proj_loss: -0.5069 (-0.5152) time: 0.4130 data: 0.0018
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:02 (0.361 s / it)
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:02 (0.361 s / it)
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:02 (0.361 s / it)
[11-25 16:20:55] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 7.051 (7.063), Lt: 6.415 (6.427), Acc m&t: 2.11 3.29, Remain: 2 days, 4:30:10, Finish: 2024-11-27 04:51
[11-25 16:20:55] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 7.051 (7.063), Lt: 6.415 (6.427), Acc m&t: 2.11 3.29, Remain: 2 days, 4:27:04, Finish: 2024-11-27 04:47
[11-25 16:20:55] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 7.051 (7.063), Lt: 6.415 (6.427), Acc m&t: 2.11 3.29, Remain: 2 days, 4:25:41, Finish: 2024-11-27 04:46
[11-25 16:20:55] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 7.051 (7.063), Lt: 6.415 (6.427), Acc m&t: 2.11 3.29, Remain: 2 days, 4:27:11, Finish: 2024-11-27 04:48
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:09:32 tlr: 0.00023 tnm: 0.34 Lm: 7.167 (7.167) Lt: 6.600 (6.600) Accm: 1.83 (1.83) Acct: 2.67 (2.67) proj_loss: -0.5175 (-0.5175) time: 0.3432 data: 0.0003
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:10:02 tlr: 0.00023 tnm: 0.34 Lm: 7.109 (7.109) Lt: 6.449 (6.449) Accm: 2.21 (2.21) Acct: 3.22 (3.22) proj_loss: -0.5163 (-0.5163) time: 0.3607 data: 0.0003
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:09:33 tlr: 0.00023 tnm: 0.34 Lm: 7.248 (7.248) Lt: 6.599 (6.599) Accm: 1.96 (1.96) Acct: 2.98 (2.98) proj_loss: -0.4996 (-0.4996) time: 0.3437 data: 0.0004
[11-25 16:20:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:09:33 tlr: 0.00023 tnm: 0.34 Lm: 6.967 (6.967) Lt: 6.281 (6.281) Accm: 2.39 (2.39) Acct: 3.68 (3.68) proj_loss: -0.5118 (-0.5118) time: 0.3439 data: 0.0003
[11-25 16:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:08:25 tlr: 0.00023 tnm: 0.39 Lm: 6.957 (6.957) Lt: 6.284 (6.284) Accm: 2.44 (2.44) Acct: 3.78 (3.78) proj_loss: -0.5086 (-0.5086) time: 0.3612 data: 0.0003
[11-25 16:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:08:25 tlr: 0.00023 tnm: 0.39 Lm: 7.081 (7.081) Lt: 6.459 (6.459) Accm: 2.12 (2.12) Acct: 3.14 (3.14) proj_loss: -0.5109 (-0.5109) time: 0.3613 data: 0.0003
[11-25 16:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:08:25 tlr: 0.00023 tnm: 0.39 Lm: 7.080 (7.080) Lt: 6.429 (6.429) Accm: 2.15 (2.15) Acct: 3.24 (3.24) proj_loss: -0.5180 (-0.5180) time: 0.3613 data: 0.0002
[11-25 16:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:08:25 tlr: 0.00023 tnm: 0.39 Lm: 7.169 (7.169) Lt: 6.521 (6.521) Accm: 2.01 (2.01) Acct: 3.13 (3.13) proj_loss: -0.5127 (-0.5127) time: 0.3612 data: 0.0003
[11-25 16:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:19 tlr: 0.00023 tnm: 0.34 Lm: 7.090 (7.111) Lt: 6.444 (6.478) Accm: 2.06 (2.16) Acct: 3.29 (3.31) proj_loss: -0.5257 (-0.5213) time: 0.3605 data: 0.0002
[11-25 16:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:19 tlr: 0.00023 tnm: 0.34 Lm: 7.050 (7.047) Lt: 6.408 (6.383) Accm: 2.09 (2.12) Acct: 3.24 (3.24) proj_loss: -0.5163 (-0.5171) time: 0.3604 data: 0.0002
[11-25 16:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:19 tlr: 0.00023 tnm: 0.34 Lm: 7.078 (7.080) Lt: 6.450 (6.456) Accm: 2.20 (2.15) Acct: 3.27 (3.19) proj_loss: -0.5175 (-0.5133) time: 0.3605 data: 0.0002
[11-25 16:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:19 tlr: 0.00023 tnm: 0.34 Lm: 6.967 (7.031) Lt: 6.286 (6.376) Accm: 2.39 (2.23) Acct: 3.68 (3.44) proj_loss: -0.5118 (-0.5122) time: 0.3604 data: 0.0003
[11-25 16:28:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.33 Lm: 7.034 (7.049) Lt: 6.403 (6.412) Accm: 2.24 (2.20) Acct: 3.33 (3.33) proj_loss: -0.5157 (-0.5141) time: 0.3658 data: 0.0003
[11-25 16:28:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.33 Lm: 7.015 (7.021) Lt: 6.350 (6.345) Accm: 2.15 (2.16) Acct: 3.25 (3.31) proj_loss: -0.5180 (-0.5195) time: 0.3658 data: 0.0002
[11-25 16:28:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.33 Lm: 7.123 (7.111) Lt: 6.522 (6.491) Accm: 2.01 (2.06) Acct: 3.06 (3.10) proj_loss: -0.5167 (-0.5139) time: 0.3658 data: 0.0003
[11-25 16:28:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:36 tlr: 0.00023 tnm: 0.33 Lm: 7.064 (7.093) Lt: 6.434 (6.464) Accm: 2.01 (2.11) Acct: 3.13 (3.23) proj_loss: -0.5156 (-0.5174) time: 0.3658 data: 0.0003
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 7.058 (7.086) Lt: 6.429 (6.457) Accm: 2.03 (2.09) Acct: 2.98 (3.18) proj_loss: -0.5175 (-0.5174) time: 0.3639 data: 0.0019
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:20 (0.372 s / it)
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 7.078 (7.068) Lt: 6.450 (6.439) Accm: 2.20 (2.14) Acct: 3.27 (3.20) proj_loss: -0.5158 (-0.5114) time: 0.3639 data: 0.0016
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.967 (6.999) Lt: 6.286 (6.352) Accm: 2.39 (2.27) Acct: 3.68 (3.47) proj_loss: -0.5148 (-0.5143) time: 0.3640 data: 0.0016
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 7.043 (7.026) Lt: 6.362 (6.348) Accm: 2.21 (2.19) Acct: 3.25 (3.37) proj_loss: -0.5197 (-0.5242) time: 0.3639 data: 0.0016
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:20 (0.372 s / it)
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:20 (0.372 s / it)
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:20 (0.372 s / it)
[11-25 16:31:15] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 7.049 (7.049), Lt: 6.411 (6.411), Acc m&t: 2.11 3.29, Remain: 2 days, 3:42:43, Finish: 2024-11-27 04:13
[11-25 16:31:15] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 7.049 (7.049), Lt: 6.411 (6.411), Acc m&t: 2.11 3.29, Remain: 2 days, 3:42:52, Finish: 2024-11-27 04:14
[11-25 16:31:15] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 7.049 (7.049), Lt: 6.411 (6.411), Acc m&t: 2.11 3.29, Remain: 2 days, 3:42:14, Finish: 2024-11-27 04:13
[11-25 16:31:15] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 7.049 (7.049), Lt: 6.411 (6.411), Acc m&t: 2.11 3.29, Remain: 2 days, 3:41:34, Finish: 2024-11-27 04:12
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:09:49 tlr: 0.00023 tnm: 0.31 Lm: 6.969 (6.969) Lt: 6.307 (6.307) Accm: 2.05 (2.05) Acct: 3.32 (3.32) proj_loss: -0.5219 (-0.5219) time: 0.3534 data: 0.0003
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:09:48 tlr: 0.00023 tnm: 0.31 Lm: 7.078 (7.078) Lt: 6.415 (6.415) Accm: 2.12 (2.12) Acct: 3.39 (3.39) proj_loss: -0.5202 (-0.5202) time: 0.3528 data: 0.0003
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:09:51 tlr: 0.00023 tnm: 0.31 Lm: 6.960 (6.960) Lt: 6.339 (6.339) Accm: 2.20 (2.20) Acct: 3.55 (3.55) proj_loss: -0.5234 (-0.5234) time: 0.3542 data: 0.0003
[11-25 16:31:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:09:50 tlr: 0.00023 tnm: 0.31 Lm: 6.747 (6.747) Lt: 6.006 (6.006) Accm: 2.75 (2.75) Acct: 4.29 (4.29) proj_loss: -0.5229 (-0.5229) time: 0.3538 data: 0.0004
[11-25 16:33:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:07:31 tlr: 0.00023 tnm: 0.38 Lm: 6.887 (6.887) Lt: 6.216 (6.216) Accm: 2.52 (2.52) Acct: 3.93 (3.93) proj_loss: -0.5191 (-0.5191) time: 0.3625 data: 0.0003
[11-25 16:33:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:07:31 tlr: 0.00023 tnm: 0.38 Lm: 6.954 (6.954) Lt: 6.272 (6.272) Accm: 2.39 (2.39) Acct: 3.95 (3.95) proj_loss: -0.5072 (-0.5072) time: 0.3625 data: 0.0002
[11-25 16:33:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:07:31 tlr: 0.00023 tnm: 0.38 Lm: 7.029 (7.029) Lt: 6.391 (6.391) Accm: 2.12 (2.12) Acct: 3.32 (3.32) proj_loss: -0.5234 (-0.5234) time: 0.3625 data: 0.0003
[11-25 16:33:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:07:31 tlr: 0.00023 tnm: 0.38 Lm: 7.132 (7.132) Lt: 6.512 (6.512) Accm: 1.97 (1.97) Acct: 3.04 (3.04) proj_loss: -0.5221 (-0.5221) time: 0.3626 data: 0.0003
[11-25 16:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.34 Lm: 7.101 (7.122) Lt: 6.460 (6.495) Accm: 1.98 (1.97) Acct: 3.08 (3.05) proj_loss: -0.5202 (-0.5202) time: 0.3613 data: 0.0003
[11-25 16:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.34 Lm: 7.008 (6.928) Lt: 6.373 (6.268) Accm: 2.29 (2.41) Acct: 3.58 (3.75) proj_loss: -0.5229 (-0.5249) time: 0.3613 data: 0.0003
[11-25 16:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.34 Lm: 6.969 (6.995) Lt: 6.307 (6.334) Accm: 2.05 (2.28) Acct: 3.32 (3.67) proj_loss: -0.5219 (-0.5144) time: 0.3613 data: 0.0002
[11-25 16:36:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:01 tlr: 0.00023 tnm: 0.34 Lm: 6.973 (7.011) Lt: 6.339 (6.366) Accm: 2.03 (2.07) Acct: 3.15 (3.27) proj_loss: -0.5234 (-0.5230) time: 0.3613 data: 0.0003
[11-25 16:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.33 Lm: 6.975 (7.002) Lt: 6.328 (6.351) Accm: 2.12 (2.14) Acct: 3.35 (3.34) proj_loss: -0.5234 (-0.5243) time: 0.3603 data: 0.0003
[11-25 16:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.33 Lm: 7.089 (7.085) Lt: 6.438 (6.438) Accm: 2.05 (2.04) Acct: 3.24 (3.21) proj_loss: -0.5183 (-0.5167) time: 0.3603 data: 0.0003
[11-25 16:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.33 Lm: 7.016 (7.012) Lt: 6.374 (6.361) Accm: 2.16 (2.27) Acct: 3.29 (3.56) proj_loss: -0.5214 (-0.5160) time: 0.3603 data: 0.0002
[11-25 16:38:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.33 Lm: 7.018 (6.974) Lt: 6.399 (6.318) Accm: 2.25 (2.32) Acct: 3.49 (3.66) proj_loss: -0.5230 (-0.5245) time: 0.3603 data: 0.0003
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.027 (7.000) Lt: 6.426 (6.347) Accm: 2.20 (2.27) Acct: 3.39 (3.57) proj_loss: -0.5229 (-0.5225) time: 0.3612 data: 0.0019
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:10:02 (0.361 s / it)
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.984 (7.006) Lt: 6.307 (6.346) Accm: 2.11 (2.24) Acct: 3.32 (3.53) proj_loss: -0.5219 (-0.5195) time: 0.3612 data: 0.0015
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.078 (7.049) Lt: 6.415 (6.406) Accm: 2.12 (2.10) Acct: 3.39 (3.27) proj_loss: -0.5202 (-0.5206) time: 0.3612 data: 0.0020
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.977 (7.003) Lt: 6.339 (6.350) Accm: 2.19 (2.15) Acct: 3.55 (3.39) proj_loss: -0.5234 (-0.5218) time: 0.3612 data: 0.0016
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:10:02 (0.361 s / it)
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:10:02 (0.361 s / it)
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:10:02 (0.361 s / it)
[11-25 16:41:18] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 7.049 (7.052), Lt: 6.411 (6.411), Acc m&t: 2.12 3.29, Remain: 2 days, 3:16:37, Finish: 2024-11-27 03:57
[11-25 16:41:18] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 7.049 (7.052), Lt: 6.411 (6.411), Acc m&t: 2.12 3.29, Remain: 2 days, 3:17:43, Finish: 2024-11-27 03:59
[11-25 16:41:18] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 7.049 (7.052), Lt: 6.411 (6.411), Acc m&t: 2.12 3.29, Remain: 2 days, 3:18:13, Finish: 2024-11-27 03:59
[11-25 16:41:18] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 7.049 (7.052), Lt: 6.411 (6.411), Acc m&t: 2.12 3.29, Remain: 2 days, 3:16:53, Finish: 2024-11-27 03:58
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:09:33 tlr: 0.00022 tnm: 0.35 Lm: 7.056 (7.056) Lt: 6.438 (6.438) Accm: 1.91 (1.91) Acct: 3.01 (3.01) proj_loss: -0.5144 (-0.5144) time: 0.3436 data: 0.0003
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:09:54 tlr: 0.00022 tnm: 0.35 Lm: 6.986 (6.986) Lt: 6.360 (6.360) Accm: 2.24 (2.24) Acct: 3.25 (3.25) proj_loss: -0.5343 (-0.5343) time: 0.3564 data: 0.0004
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:09:33 tlr: 0.00022 tnm: 0.35 Lm: 7.147 (7.147) Lt: 6.530 (6.530) Accm: 1.84 (1.84) Acct: 2.93 (2.93) proj_loss: -0.5203 (-0.5203) time: 0.3434 data: 0.0004
[11-25 16:41:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:09:34 tlr: 0.00022 tnm: 0.35 Lm: 7.091 (7.091) Lt: 6.511 (6.511) Accm: 2.00 (2.00) Acct: 3.19 (3.19) proj_loss: -0.5409 (-0.5409) time: 0.3444 data: 0.0003
[11-25 16:43:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.36 Lm: 6.992 (6.992) Lt: 6.379 (6.379) Accm: 2.27 (2.27) Acct: 3.71 (3.71) proj_loss: -0.5293 (-0.5293) time: 0.3618 data: 0.0003
[11-25 16:43:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.36 Lm: 7.071 (7.071) Lt: 6.430 (6.430) Accm: 2.05 (2.05) Acct: 3.09 (3.09) proj_loss: -0.5213 (-0.5213) time: 0.3618 data: 0.0003
[11-25 16:43:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.36 Lm: 7.055 (7.055) Lt: 6.415 (6.415) Accm: 2.05 (2.05) Acct: 3.22 (3.22) proj_loss: -0.5227 (-0.5227) time: 0.3618 data: 0.0002
[11-25 16:43:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.36 Lm: 7.044 (7.044) Lt: 6.403 (6.403) Accm: 2.25 (2.25) Acct: 3.48 (3.48) proj_loss: -0.5307 (-0.5307) time: 0.3618 data: 0.0003
[11-25 16:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.36 Lm: 6.986 (7.023) Lt: 6.361 (6.389) Accm: 2.24 (2.21) Acct: 3.29 (3.41) proj_loss: -0.5270 (-0.5270) time: 0.3602 data: 0.0002
[11-25 16:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.36 Lm: 7.056 (7.076) Lt: 6.438 (6.434) Accm: 2.08 (2.06) Acct: 3.32 (3.25) proj_loss: -0.5181 (-0.5212) time: 0.3602 data: 0.0002
[11-25 16:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.36 Lm: 6.969 (6.984) Lt: 6.293 (6.351) Accm: 2.21 (2.25) Acct: 3.25 (3.56) proj_loss: -0.5176 (-0.5248) time: 0.3602 data: 0.0003
[11-25 16:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.36 Lm: 6.995 (6.986) Lt: 6.330 (6.333) Accm: 2.26 (2.30) Acct: 3.25 (3.54) proj_loss: -0.5222 (-0.5285) time: 0.3603 data: 0.0003
[11-25 16:48:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.35 Lm: 6.973 (6.977) Lt: 6.306 (6.320) Accm: 2.32 (2.32) Acct: 3.51 (3.59) proj_loss: -0.5249 (-0.5283) time: 0.3584 data: 0.0003
[11-25 16:48:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.35 Lm: 7.055 (7.048) Lt: 6.415 (6.392) Accm: 2.14 (2.13) Acct: 3.37 (3.36) proj_loss: -0.5212 (-0.5220) time: 0.3584 data: 0.0002
[11-25 16:48:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.35 Lm: 6.983 (6.986) Lt: 6.361 (6.338) Accm: 2.25 (2.27) Acct: 3.50 (3.50) proj_loss: -0.5307 (-0.5298) time: 0.3584 data: 0.0003
[11-25 16:48:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.35 Lm: 6.990 (6.991) Lt: 6.327 (6.353) Accm: 2.16 (2.21) Acct: 3.26 (3.49) proj_loss: -0.5191 (-0.5237) time: 0.3584 data: 0.0003
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.969 (6.971) Lt: 6.293 (6.339) Accm: 2.21 (2.28) Acct: 3.27 (3.54) proj_loss: -0.5205 (-0.5243) time: 0.4062 data: 0.0018
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:18 (0.370 s / it)
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.054 (7.048) Lt: 6.438 (6.403) Accm: 2.08 (2.09) Acct: 3.32 (3.33) proj_loss: -0.5243 (-0.5252) time: 0.4062 data: 0.0015
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.986 (6.992) Lt: 6.360 (6.341) Accm: 2.24 (2.25) Acct: 3.43 (3.48) proj_loss: -0.5282 (-0.5295) time: 0.4062 data: 0.0016
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.995 (6.991) Lt: 6.330 (6.333) Accm: 2.26 (2.30) Acct: 3.37 (3.55) proj_loss: -0.5222 (-0.5226) time: 0.4062 data: 0.0019
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:18 (0.370 s / it)
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:18 (0.370 s / it)
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:18 (0.370 s / it)
[11-25 16:51:36] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 7.043 (7.043), Lt: 6.400 (6.400), Acc m&t: 2.12 3.29, Remain: 2 days, 3:19:33, Finish: 2024-11-27 04:11
[11-25 16:51:36] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 7.043 (7.043), Lt: 6.400 (6.400), Acc m&t: 2.12 3.29, Remain: 2 days, 3:17:30, Finish: 2024-11-27 04:09
[11-25 16:51:36] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 7.043 (7.043), Lt: 6.400 (6.400), Acc m&t: 2.12 3.29, Remain: 2 days, 3:18:51, Finish: 2024-11-27 04:10
[11-25 16:51:36] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 7.043 (7.043), Lt: 6.400 (6.400), Acc m&t: 2.12 3.29, Remain: 2 days, 3:17:45, Finish: 2024-11-27 04:09
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:09:26 tlr: 0.00022 tnm: 0.35 Lm: 7.119 (7.119) Lt: 6.470 (6.470) Accm: 2.06 (2.06) Acct: 3.25 (3.25) proj_loss: -0.5259 (-0.5259) time: 0.3392 data: 0.0003
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:09:35 tlr: 0.00022 tnm: 0.35 Lm: 7.011 (7.011) Lt: 6.352 (6.352) Accm: 2.06 (2.06) Acct: 3.05 (3.05) proj_loss: -0.5127 (-0.5127) time: 0.3446 data: 0.0003
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:09:36 tlr: 0.00022 tnm: 0.35 Lm: 7.124 (7.124) Lt: 6.507 (6.507) Accm: 1.86 (1.86) Acct: 2.84 (2.84) proj_loss: -0.5122 (-0.5122) time: 0.3456 data: 0.0004
[11-25 16:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:09:28 tlr: 0.00022 tnm: 0.35 Lm: 6.994 (6.994) Lt: 6.391 (6.391) Accm: 2.19 (2.19) Acct: 3.58 (3.58) proj_loss: -0.5286 (-0.5286) time: 0.3405 data: 0.0004
[11-25 16:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:38 tlr: 0.00022 tnm: 0.33 Lm: 6.938 (6.938) Lt: 6.289 (6.289) Accm: 2.32 (2.32) Acct: 3.68 (3.68) proj_loss: -0.5333 (-0.5333) time: 0.3607 data: 0.0003
[11-25 16:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:38 tlr: 0.00022 tnm: 0.33 Lm: 7.016 (7.016) Lt: 6.375 (6.375) Accm: 2.15 (2.15) Acct: 3.33 (3.33) proj_loss: -0.5260 (-0.5260) time: 0.3607 data: 0.0002
[11-25 16:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:38 tlr: 0.00022 tnm: 0.33 Lm: 7.018 (7.018) Lt: 6.400 (6.400) Accm: 2.03 (2.03) Acct: 2.92 (2.92) proj_loss: -0.5238 (-0.5238) time: 0.3607 data: 0.0002
[11-25 16:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:38 tlr: 0.00022 tnm: 0.33 Lm: 7.127 (7.127) Lt: 6.504 (6.504) Accm: 1.89 (1.89) Acct: 2.92 (2.92) proj_loss: -0.5131 (-0.5131) time: 0.3607 data: 0.0003
[11-25 16:56:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.33 Lm: 7.130 (7.142) Lt: 6.507 (6.519) Accm: 1.87 (1.89) Acct: 2.84 (2.84) proj_loss: -0.5140 (-0.5201) time: 0.3624 data: 0.0003
[11-25 16:56:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.33 Lm: 7.064 (7.032) Lt: 6.371 (6.374) Accm: 2.13 (2.14) Acct: 3.34 (3.33) proj_loss: -0.5259 (-0.5204) time: 0.3624 data: 0.0002
[11-25 16:56:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.33 Lm: 6.994 (6.982) Lt: 6.391 (6.351) Accm: 2.19 (2.24) Acct: 3.58 (3.62) proj_loss: -0.5381 (-0.5351) time: 0.3624 data: 0.0003
[11-25 16:56:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.33 Lm: 7.026 (7.035) Lt: 6.447 (6.425) Accm: 2.06 (2.06) Acct: 3.05 (2.97) proj_loss: -0.5127 (-0.5173) time: 0.3624 data: 0.0002
[11-25 16:59:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.37 Lm: 7.048 (7.051) Lt: 6.442 (6.428) Accm: 2.03 (2.01) Acct: 3.05 (2.99) proj_loss: -0.5178 (-0.5187) time: 0.3588 data: 0.0003
[11-25 16:59:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.37 Lm: 7.092 (7.071) Lt: 6.420 (6.413) Accm: 2.09 (2.08) Acct: 3.30 (3.25) proj_loss: -0.5260 (-0.5258) time: 0.3588 data: 0.0002
[11-25 16:59:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.37 Lm: 7.127 (7.129) Lt: 6.504 (6.500) Accm: 1.88 (1.89) Acct: 2.79 (2.82) proj_loss: -0.5131 (-0.5180) time: 0.3588 data: 0.0003
[11-25 16:59:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.37 Lm: 6.977 (6.976) Lt: 6.347 (6.339) Accm: 2.20 (2.23) Acct: 3.54 (3.53) proj_loss: -0.5333 (-0.5307) time: 0.3588 data: 0.0003
[11-25 17:01:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.980 (6.977) Lt: 6.324 (6.336) Accm: 2.21 (2.27) Acct: 3.58 (3.62) proj_loss: -0.5286 (-0.5292) time: 0.3622 data: 0.0020
[11-25 17:01:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:04 (0.362 s / it)
[11-25 17:01:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.044 (7.049) Lt: 6.436 (6.424) Accm: 2.06 (2.06) Acct: 3.05 (3.06) proj_loss: -0.5228 (-0.5214) time: 0.3622 data: 0.0015
[11-25 17:01:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.077 (7.073) Lt: 6.423 (6.415) Accm: 2.06 (2.07) Acct: 3.25 (3.22) proj_loss: -0.5259 (-0.5257) time: 0.3622 data: 0.0017
[11-25 17:01:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.124 (7.112) Lt: 6.502 (6.484) Accm: 1.89 (1.97) Acct: 2.84 (2.93) proj_loss: -0.5140 (-0.5225) time: 0.3622 data: 0.0017
[11-25 17:01:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:04 (0.362 s / it)
[11-25 17:01:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:04 (0.362 s / it)
[11-25 17:01:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:04 (0.362 s / it)
[11-25 17:01:40] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 7.031 (7.031), Lt: 6.387 (6.387), Acc m&t: 2.14 3.34, Remain: 2 days, 3:09:20, Finish: 2024-11-27 04:11
[11-25 17:01:40] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 7.031 (7.031), Lt: 6.387 (6.387), Acc m&t: 2.14 3.34, Remain: 2 days, 3:09:35, Finish: 2024-11-27 04:11
[11-25 17:01:40] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 7.031 (7.031), Lt: 6.387 (6.387), Acc m&t: 2.14 3.34, Remain: 2 days, 3:08:44, Finish: 2024-11-27 04:10
[11-25 17:01:40] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 7.031 (7.031), Lt: 6.387 (6.387), Acc m&t: 2.14 3.34, Remain: 2 days, 3:08:17, Finish: 2024-11-27 04:09
[11-25 17:01:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:09:29 tlr: 0.00022 tnm: 0.35 Lm: 7.098 (7.098) Lt: 6.452 (6.452) Accm: 2.26 (2.26) Acct: 3.19 (3.19) proj_loss: -0.5154 (-0.5154) time: 0.3412 data: 0.0003
[11-25 17:01:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:09:31 tlr: 0.00022 tnm: 0.35 Lm: 6.949 (6.949) Lt: 6.300 (6.300) Accm: 2.48 (2.48) Acct: 3.63 (3.63) proj_loss: -0.5305 (-0.5305) time: 0.3426 data: 0.0003
[11-25 17:01:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:09:32 tlr: 0.00022 tnm: 0.35 Lm: 7.100 (7.100) Lt: 6.390 (6.390) Accm: 2.31 (2.31) Acct: 3.86 (3.86) proj_loss: -0.5061 (-0.5061) time: 0.3433 data: 0.0003
[11-25 17:01:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:09:58 tlr: 0.00022 tnm: 0.35 Lm: 7.021 (7.021) Lt: 6.370 (6.370) Accm: 1.94 (1.94) Acct: 3.29 (3.29) proj_loss: -0.5300 (-0.5300) time: 0.3587 data: 0.0003
[11-25 17:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.35 Lm: 6.975 (6.975) Lt: 6.338 (6.338) Accm: 2.21 (2.21) Acct: 3.55 (3.55) proj_loss: -0.5269 (-0.5269) time: 0.3587 data: 0.0003
[11-25 17:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.35 Lm: 7.109 (7.109) Lt: 6.470 (6.470) Accm: 2.08 (2.08) Acct: 3.14 (3.14) proj_loss: -0.5190 (-0.5190) time: 0.3587 data: 0.0003
[11-25 17:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.35 Lm: 6.977 (6.977) Lt: 6.333 (6.333) Accm: 2.49 (2.49) Acct: 3.84 (3.84) proj_loss: -0.5234 (-0.5234) time: 0.3587 data: 0.0002
[11-25 17:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.35 Lm: 7.063 (7.063) Lt: 6.401 (6.401) Accm: 2.33 (2.33) Acct: 3.79 (3.79) proj_loss: -0.5206 (-0.5206) time: 0.3587 data: 0.0003
[11-25 17:06:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.34 Lm: 7.048 (7.058) Lt: 6.390 (6.385) Accm: 2.31 (2.23) Acct: 3.72 (3.62) proj_loss: -0.5177 (-0.5196) time: 0.3621 data: 0.0003
[11-25 17:06:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.34 Lm: 7.098 (7.077) Lt: 6.452 (6.426) Accm: 2.20 (2.12) Acct: 3.19 (3.28) proj_loss: -0.5165 (-0.5182) time: 0.3622 data: 0.0002
[11-25 17:06:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.34 Lm: 6.997 (6.982) Lt: 6.370 (6.353) Accm: 2.18 (2.20) Acct: 3.41 (3.50) proj_loss: -0.5300 (-0.5332) time: 0.3621 data: 0.0003
[11-25 17:06:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.34 Lm: 7.005 (7.032) Lt: 6.366 (6.395) Accm: 2.48 (2.34) Acct: 3.63 (3.56) proj_loss: -0.5163 (-0.5196) time: 0.3621 data: 0.0002
[11-25 17:09:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.36 Lm: 6.977 (7.004) Lt: 6.333 (6.342) Accm: 2.33 (2.30) Acct: 3.62 (3.57) proj_loss: -0.5188 (-0.5201) time: 0.3611 data: 0.0002
[11-25 17:09:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.36 Lm: 7.109 (7.106) Lt: 6.470 (6.460) Accm: 2.05 (2.03) Acct: 3.14 (3.19) proj_loss: -0.5195 (-0.5216) time: 0.3611 data: 0.0003
[11-25 17:09:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.36 Lm: 7.009 (7.018) Lt: 6.377 (6.394) Accm: 2.06 (2.13) Acct: 3.35 (3.32) proj_loss: -0.5370 (-0.5359) time: 0.3611 data: 0.0003
[11-25 17:09:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.36 Lm: 7.074 (7.093) Lt: 6.401 (6.434) Accm: 2.17 (2.14) Acct: 3.50 (3.43) proj_loss: -0.5264 (-0.5242) time: 0.3611 data: 0.0003
[11-25 17:11:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.048 (7.068) Lt: 6.390 (6.404) Accm: 2.31 (2.18) Acct: 3.72 (3.49) proj_loss: -0.5177 (-0.5226) time: 0.3598 data: 0.0016
[11-25 17:11:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:10:01 (0.361 s / it)
[11-25 17:11:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.098 (7.092) Lt: 6.452 (6.443) Accm: 2.17 (2.06) Acct: 3.19 (3.19) proj_loss: -0.5226 (-0.5234) time: 0.3598 data: 0.0016
[11-25 17:11:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.005 (7.020) Lt: 6.366 (6.366) Accm: 2.18 (2.26) Acct: 3.60 (3.48) proj_loss: -0.5214 (-0.5223) time: 0.3598 data: 0.0019
[11-25 17:11:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.997 (7.007) Lt: 6.370 (6.379) Accm: 2.18 (2.17) Acct: 3.41 (3.40) proj_loss: -0.5433 (-0.5374) time: 0.3598 data: 0.0016
[11-25 17:11:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:10:01 (0.361 s / it)
[11-25 17:11:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:10:01 (0.361 s / it)
[11-25 17:11:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:10:01 (0.361 s / it)
[11-25 17:11:42] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 7.031 (7.037), Lt: 6.387 (6.394), Acc m&t: 2.15 3.34, Remain: 2 days, 2:31:27, Finish: 2024-11-27 03:43
[11-25 17:11:42] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 7.031 (7.037), Lt: 6.387 (6.394), Acc m&t: 2.15 3.34, Remain: 2 days, 2:31:49, Finish: 2024-11-27 03:43
[11-25 17:11:42] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 7.031 (7.037), Lt: 6.387 (6.394), Acc m&t: 2.15 3.34, Remain: 2 days, 2:30:54, Finish: 2024-11-27 03:42
[11-25 17:11:42] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 7.031 (7.037), Lt: 6.387 (6.394), Acc m&t: 2.15 3.34, Remain: 2 days, 2:30:32, Finish: 2024-11-27 03:42
[11-25 17:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:26 tlr: 0.00022 tnm: 0.37 Lm: 6.921 (6.921) Lt: 6.282 (6.282) Accm: 2.32 (2.32) Acct: 3.41 (3.41) proj_loss: -0.5150 (-0.5150) time: 0.3756 data: 0.0003
[11-25 17:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:00 tlr: 0.00022 tnm: 0.37 Lm: 6.864 (6.864) Lt: 6.265 (6.265) Accm: 2.45 (2.45) Acct: 3.70 (3.70) proj_loss: -0.5346 (-0.5346) time: 0.3600 data: 0.0003
[11-25 17:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:01 tlr: 0.00022 tnm: 0.37 Lm: 6.987 (6.987) Lt: 6.330 (6.330) Accm: 2.08 (2.08) Acct: 2.94 (2.94) proj_loss: -0.5328 (-0.5328) time: 0.3604 data: 0.0003
[11-25 17:11:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:04 tlr: 0.00022 tnm: 0.37 Lm: 7.001 (7.001) Lt: 6.320 (6.320) Accm: 2.09 (2.09) Acct: 3.37 (3.37) proj_loss: -0.5262 (-0.5262) time: 0.3619 data: 0.0005
[11-25 17:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.35 Lm: 6.888 (6.888) Lt: 6.208 (6.208) Accm: 2.42 (2.42) Acct: 3.86 (3.86) proj_loss: -0.5336 (-0.5336) time: 0.3615 data: 0.0002
[11-25 17:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.35 Lm: 6.942 (6.942) Lt: 6.317 (6.317) Accm: 2.41 (2.41) Acct: 3.72 (3.72) proj_loss: -0.5294 (-0.5294) time: 0.3615 data: 0.0003
[11-25 17:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.35 Lm: 6.978 (6.978) Lt: 6.321 (6.321) Accm: 2.29 (2.29) Acct: 3.49 (3.49) proj_loss: -0.5178 (-0.5178) time: 0.3615 data: 0.0002
[11-25 17:14:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.35 Lm: 6.997 (6.997) Lt: 6.332 (6.332) Accm: 2.14 (2.14) Acct: 3.18 (3.18) proj_loss: -0.5256 (-0.5256) time: 0.3615 data: 0.0003
[11-25 17:16:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.36 Lm: 7.007 (7.001) Lt: 6.334 (6.354) Accm: 2.21 (2.21) Acct: 3.41 (3.39) proj_loss: -0.5272 (-0.5262) time: 0.3604 data: 0.0003
[11-25 17:16:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.36 Lm: 6.864 (6.909) Lt: 6.265 (6.297) Accm: 2.45 (2.45) Acct: 3.74 (3.72) proj_loss: -0.5346 (-0.5311) time: 0.3604 data: 0.0002
[11-25 17:16:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.36 Lm: 6.921 (6.940) Lt: 6.282 (6.260) Accm: 2.32 (2.43) Acct: 3.56 (3.77) proj_loss: -0.5155 (-0.5170) time: 0.3604 data: 0.0003
[11-25 17:16:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.36 Lm: 7.001 (6.960) Lt: 6.320 (6.295) Accm: 2.09 (2.26) Acct: 3.37 (3.55) proj_loss: -0.5409 (-0.5365) time: 0.3604 data: 0.0003
[11-25 17:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.33 Lm: 6.947 (6.943) Lt: 6.304 (6.293) Accm: 2.28 (2.31) Acct: 3.48 (3.56) proj_loss: -0.5359 (-0.5351) time: 0.4050 data: 0.0003
[11-25 17:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.33 Lm: 6.903 (6.926) Lt: 6.232 (6.240) Accm: 2.29 (2.37) Acct: 3.61 (3.74) proj_loss: -0.5158 (-0.5168) time: 0.4050 data: 0.0002
[11-25 17:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.33 Lm: 6.942 (6.952) Lt: 6.317 (6.326) Accm: 2.41 (2.39) Acct: 3.72 (3.70) proj_loss: -0.5346 (-0.5325) time: 0.4050 data: 0.0003
[11-25 17:19:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:31 tlr: 0.00022 tnm: 0.33 Lm: 7.008 (7.017) Lt: 6.367 (6.373) Accm: 2.15 (2.18) Acct: 3.30 (3.34) proj_loss: -0.5300 (-0.5282) time: 0.4050 data: 0.0003
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.008 (7.036) Lt: 6.399 (6.400) Accm: 2.10 (2.10) Acct: 3.19 (3.24) proj_loss: -0.5328 (-0.5298) time: 0.3627 data: 0.0015
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:23 (0.373 s / it)
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.921 (6.937) Lt: 6.282 (6.255) Accm: 2.32 (2.37) Acct: 3.65 (3.76) proj_loss: -0.5162 (-0.5198) time: 0.3627 data: 0.0018
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.001 (6.965) Lt: 6.320 (6.318) Accm: 2.09 (2.24) Acct: 3.37 (3.48) proj_loss: -0.5310 (-0.5286) time: 0.3627 data: 0.0021
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.019 (6.972) Lt: 6.369 (6.343) Accm: 2.37 (2.31) Acct: 3.70 (3.56) proj_loss: -0.5346 (-0.5368) time: 0.3627 data: 0.0018
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:23 (0.373 s / it)
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:23 (0.373 s / it)
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:23 (0.373 s / it)
[11-25 17:22:06] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 7.020 (7.020), Lt: 6.375 (6.375), Acc m&t: 2.17 3.38, Remain: 2 days, 2:40:31, Finish: 2024-11-27 04:02
[11-25 17:22:06] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 7.020 (7.020), Lt: 6.375 (6.375), Acc m&t: 2.17 3.38, Remain: 2 days, 2:41:56, Finish: 2024-11-27 04:04
[11-25 17:22:06] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 7.020 (7.020), Lt: 6.375 (6.375), Acc m&t: 2.17 3.38, Remain: 2 days, 2:43:28, Finish: 2024-11-27 04:05
[11-25 17:22:06] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 7.020 (7.020), Lt: 6.375 (6.375), Acc m&t: 2.17 3.38, Remain: 2 days, 2:41:35, Finish: 2024-11-27 04:03
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:09:32 tlr: 0.00022 tnm: 0.34 Lm: 7.052 (7.052) Lt: 6.376 (6.376) Accm: 2.28 (2.28) Acct: 3.63 (3.63) proj_loss: -0.5394 (-0.5394) time: 0.3431 data: 0.0003
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:09:31 tlr: 0.00022 tnm: 0.34 Lm: 7.060 (7.060) Lt: 6.400 (6.400) Accm: 1.99 (1.99) Acct: 3.15 (3.15) proj_loss: -0.5157 (-0.5157) time: 0.3427 data: 0.0004
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:09:33 tlr: 0.00022 tnm: 0.34 Lm: 6.866 (6.866) Lt: 6.172 (6.172) Accm: 2.70 (2.70) Acct: 4.17 (4.17) proj_loss: -0.5199 (-0.5199) time: 0.3438 data: 0.0003
[11-25 17:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:09:34 tlr: 0.00022 tnm: 0.34 Lm: 7.022 (7.022) Lt: 6.348 (6.348) Accm: 2.11 (2.11) Acct: 3.32 (3.32) proj_loss: -0.5246 (-0.5246) time: 0.3440 data: 0.0003
[11-25 17:24:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.34 Lm: 7.067 (7.067) Lt: 6.394 (6.394) Accm: 2.01 (2.01) Acct: 3.20 (3.20) proj_loss: -0.5298 (-0.5298) time: 0.3608 data: 0.0003
[11-25 17:24:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.34 Lm: 6.966 (6.966) Lt: 6.308 (6.308) Accm: 2.36 (2.36) Acct: 3.68 (3.68) proj_loss: -0.5190 (-0.5190) time: 0.3608 data: 0.0003
[11-25 17:24:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.34 Lm: 7.066 (7.066) Lt: 6.401 (6.401) Accm: 2.13 (2.13) Acct: 3.42 (3.42) proj_loss: -0.5311 (-0.5311) time: 0.3608 data: 0.0002
[11-25 17:24:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.34 Lm: 7.023 (7.023) Lt: 6.393 (6.393) Accm: 2.14 (2.14) Acct: 3.38 (3.38) proj_loss: -0.5312 (-0.5312) time: 0.3608 data: 0.0002
[11-25 17:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.32 Lm: 6.988 (7.012) Lt: 6.385 (6.386) Accm: 2.16 (2.15) Acct: 3.34 (3.37) proj_loss: -0.5375 (-0.5333) time: 0.3605 data: 0.0003
[11-25 17:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.32 Lm: 7.065 (7.008) Lt: 6.420 (6.345) Accm: 2.03 (2.25) Acct: 3.20 (3.52) proj_loss: -0.5199 (-0.5211) time: 0.3605 data: 0.0003
[11-25 17:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.32 Lm: 7.052 (7.044) Lt: 6.376 (6.387) Accm: 2.28 (2.21) Acct: 3.63 (3.50) proj_loss: -0.5304 (-0.5309) time: 0.3605 data: 0.0002
[11-25 17:27:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.32 Lm: 7.022 (7.025) Lt: 6.348 (6.354) Accm: 2.11 (2.14) Acct: 3.32 (3.42) proj_loss: -0.5246 (-0.5278) time: 0.3605 data: 0.0003
[11-25 17:29:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.37 Lm: 7.011 (7.019) Lt: 6.361 (6.359) Accm: 2.05 (2.10) Acct: 3.26 (3.37) proj_loss: -0.5298 (-0.5310) time: 0.3579 data: 0.0003
[11-25 17:29:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.37 Lm: 6.987 (6.993) Lt: 6.379 (6.358) Accm: 2.23 (2.21) Acct: 3.48 (3.47) proj_loss: -0.5354 (-0.5333) time: 0.3579 data: 0.0003
[11-25 17:29:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.37 Lm: 7.079 (7.034) Lt: 6.432 (6.381) Accm: 2.07 (2.21) Acct: 3.25 (3.47) proj_loss: -0.5226 (-0.5238) time: 0.3579 data: 0.0002
[11-25 17:29:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.37 Lm: 7.064 (7.052) Lt: 6.401 (6.400) Accm: 2.20 (2.19) Acct: 3.43 (3.43) proj_loss: -0.5327 (-0.5319) time: 0.3579 data: 0.0003
[11-25 17:32:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.052 (7.041) Lt: 6.376 (6.392) Accm: 2.11 (2.16) Acct: 3.22 (3.38) proj_loss: -0.5318 (-0.5319) time: 0.3618 data: 0.0018
[11-25 17:32:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:01 (0.360 s / it)
[11-25 17:32:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.988 (7.006) Lt: 6.385 (6.367) Accm: 2.16 (2.20) Acct: 3.62 (3.50) proj_loss: -0.5375 (-0.5345) time: 0.3618 data: 0.0016
[11-25 17:32:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.093 (7.049) Lt: 6.444 (6.408) Accm: 2.03 (2.15) Acct: 3.20 (3.37) proj_loss: -0.5254 (-0.5263) time: 0.3618 data: 0.0015
[11-25 17:32:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.022 (7.025) Lt: 6.375 (6.379) Accm: 1.98 (2.07) Acct: 3.20 (3.26) proj_loss: -0.5336 (-0.5315) time: 0.3618 data: 0.0020
[11-25 17:32:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:01 (0.360 s / it)
[11-25 17:32:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:01 (0.360 s / it)
[11-25 17:32:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:01 (0.360 s / it)
[11-25 17:34:10] (home/user/VAR/trainer.py, line 114)=> FID: 7.079339514342223
[11-25 17:34:11] (/home/user/VAR/train.py , line 259)=> [*] [ep49] (val 50000) Lm: 7.0283, Lt: 6.3823, Acc m&t: 2.16 3.37, Val cost: 123.07s
[11-25 17:34:11] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-25 17:34:27] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 7.020 (7.028), Lt: 6.375 (6.382), Acc m&t: 2.17 3.38, Remain: 2 days, 2:23:59, Finish: 2024-11-27 03:56
[11-25 17:34:27] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 7.020 (7.028), Lt: 6.375 (6.382), Acc m&t: 2.17 3.38, Remain: 2 days, 2:22:22, Finish: 2024-11-27 03:54
[11-25 17:34:27] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 7.020 (7.028), Lt: 6.375 (6.382), Acc m&t: 2.17 3.38, Remain: 2 days, 2:22:42, Finish: 2024-11-27 03:54
[11-25 17:34:27] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 7.020 (7.028), Lt: 6.375 (6.382), Acc m&t: 2.17 3.38, Remain: 2 days, 2:22:57, Finish: 2024-11-27 03:55
[11-25 17:34:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:09:55 tlr: 0.00022 tnm: 0.31 Lm: 6.994 (6.994) Lt: 6.273 (6.273) Accm: 2.10 (2.10) Acct: 3.48 (3.48) proj_loss: -0.5287 (-0.5287) time: 0.3566 data: 0.0004
[11-25 17:34:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:09:55 tlr: 0.00022 tnm: 0.31 Lm: 7.139 (7.139) Lt: 6.492 (6.492) Accm: 1.89 (1.89) Acct: 3.06 (3.06) proj_loss: -0.5261 (-0.5261) time: 0.3567 data: 0.0003
[11-25 17:34:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:09:55 tlr: 0.00022 tnm: 0.31 Lm: 6.966 (6.966) Lt: 6.272 (6.272) Accm: 2.16 (2.16) Acct: 3.44 (3.44) proj_loss: -0.5468 (-0.5468) time: 0.3568 data: 0.0003
[11-25 17:34:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:10:27 tlr: 0.00022 tnm: 0.31 Lm: 6.938 (6.938) Lt: 6.292 (6.292) Accm: 2.44 (2.44) Acct: 3.81 (3.81) proj_loss: -0.5037 (-0.5037) time: 0.3760 data: 0.0004
[11-25 17:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.33 Lm: 7.023 (7.023) Lt: 6.391 (6.391) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: -0.5202 (-0.5202) time: 0.3610 data: 0.0002
[11-25 17:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.33 Lm: 6.977 (6.977) Lt: 6.304 (6.304) Accm: 2.26 (2.26) Acct: 3.50 (3.50) proj_loss: -0.5381 (-0.5381) time: 0.3610 data: 0.0003
[11-25 17:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.33 Lm: 7.043 (7.043) Lt: 6.365 (6.365) Accm: 2.07 (2.07) Acct: 3.20 (3.20) proj_loss: -0.5386 (-0.5386) time: 0.3610 data: 0.0003
[11-25 17:36:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:30 tlr: 0.00022 tnm: 0.33 Lm: 7.143 (7.143) Lt: 6.510 (6.510) Accm: 1.90 (1.90) Acct: 2.96 (2.96) proj_loss: -0.5321 (-0.5321) time: 0.3610 data: 0.0003
[11-25 17:39:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.34 Lm: 7.139 (7.100) Lt: 6.492 (6.456) Accm: 1.90 (2.01) Acct: 3.06 (3.12) proj_loss: -0.5281 (-0.5308) time: 0.3614 data: 0.0003
[11-25 17:39:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.34 Lm: 7.002 (7.016) Lt: 6.301 (6.361) Accm: 2.32 (2.24) Acct: 3.70 (3.52) proj_loss: -0.5232 (-0.5212) time: 0.3614 data: 0.0002
[11-25 17:39:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.34 Lm: 6.994 (6.983) Lt: 6.281 (6.337) Accm: 2.10 (2.29) Acct: 3.48 (3.46) proj_loss: -0.5287 (-0.5350) time: 0.3614 data: 0.0003
[11-25 17:39:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.34 Lm: 6.988 (7.008) Lt: 6.335 (6.337) Accm: 2.16 (2.22) Acct: 3.44 (3.48) proj_loss: -0.5297 (-0.5353) time: 0.3614 data: 0.0003
[11-25 17:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.33 Lm: 7.029 (7.034) Lt: 6.370 (6.365) Accm: 2.15 (2.19) Acct: 3.43 (3.43) proj_loss: -0.5295 (-0.5333) time: 0.3595 data: 0.0003
[11-25 17:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.33 Lm: 7.094 (7.087) Lt: 6.462 (6.450) Accm: 1.92 (2.00) Acct: 3.03 (3.09) proj_loss: -0.5294 (-0.5307) time: 0.3595 data: 0.0002
[11-25 17:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.33 Lm: 7.001 (7.012) Lt: 6.324 (6.358) Accm: 2.23 (2.22) Acct: 3.50 (3.47) proj_loss: -0.5237 (-0.5219) time: 0.3595 data: 0.0002
[11-25 17:41:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.33 Lm: 7.035 (7.006) Lt: 6.369 (6.375) Accm: 2.08 (2.23) Acct: 3.36 (3.40) proj_loss: -0.5348 (-0.5365) time: 0.3596 data: 0.0002
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.37 Lm: 7.002 (7.005) Lt: 6.354 (6.371) Accm: 2.09 (2.20) Acct: 3.24 (3.36) proj_loss: -0.5287 (-0.5344) time: 0.3627 data: 0.0020
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:10:01 (0.360 s / it)
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.37 Lm: 7.002 (7.038) Lt: 6.347 (6.384) Accm: 2.13 (2.18) Acct: 3.36 (3.44) proj_loss: -0.5232 (-0.5222) time: 0.3627 data: 0.0023
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.37 Lm: 7.051 (7.037) Lt: 6.404 (6.377) Accm: 2.13 (2.14) Acct: 3.43 (3.36) proj_loss: -0.5297 (-0.5339) time: 0.3628 data: 0.0018
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.37 Lm: 7.050 (7.073) Lt: 6.433 (6.434) Accm: 1.94 (2.06) Acct: 3.06 (3.20) proj_loss: -0.5286 (-0.5303) time: 0.3628 data: 0.0015
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:10:01 (0.360 s / it)
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:10:01 (0.360 s / it)
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:10:01 (0.360 s / it)
[11-25 17:44:29] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 7.020 (7.028), Lt: 6.375 (6.381), Acc m&t: 2.17 3.38, Remain: 2 days, 2:16:08, Finish: 2024-11-27 04:00
[11-25 17:44:29] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 7.020 (7.028), Lt: 6.375 (6.381), Acc m&t: 2.17 3.38, Remain: 2 days, 2:15:46, Finish: 2024-11-27 04:00
[11-25 17:44:29] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 7.020 (7.028), Lt: 6.375 (6.381), Acc m&t: 2.17 3.38, Remain: 2 days, 2:15:30, Finish: 2024-11-27 03:59
[11-25 17:44:29] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 7.020 (7.028), Lt: 6.375 (6.381), Acc m&t: 2.17 3.38, Remain: 2 days, 2:16:47, Finish: 2024-11-27 04:01
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:01 tlr: 0.00022 tnm: 0.32 Lm: 7.083 (7.083) Lt: 6.371 (6.371) Accm: 2.03 (2.03) Acct: 3.44 (3.44) proj_loss: -0.5179 (-0.5179) time: 0.3605 data: 0.0004
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:02 tlr: 0.00022 tnm: 0.32 Lm: 7.029 (7.029) Lt: 6.380 (6.380) Accm: 2.16 (2.16) Acct: 3.36 (3.36) proj_loss: -0.5357 (-0.5357) time: 0.3610 data: 0.0003
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:03 tlr: 0.00022 tnm: 0.32 Lm: 7.050 (7.050) Lt: 6.370 (6.370) Accm: 2.08 (2.08) Acct: 3.29 (3.29) proj_loss: -0.5285 (-0.5285) time: 0.3617 data: 0.0004
[11-25 17:44:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:05 tlr: 0.00022 tnm: 0.32 Lm: 7.104 (7.104) Lt: 6.504 (6.504) Accm: 2.04 (2.04) Acct: 3.08 (3.08) proj_loss: -0.5426 (-0.5426) time: 0.3625 data: 0.0004
[11-25 17:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.35 Lm: 7.013 (7.013) Lt: 6.371 (6.371) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: -0.5362 (-0.5362) time: 0.3616 data: 0.0003
[11-25 17:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.35 Lm: 6.982 (6.982) Lt: 6.307 (6.307) Accm: 2.23 (2.23) Acct: 3.56 (3.56) proj_loss: -0.5257 (-0.5257) time: 0.3616 data: 0.0003
[11-25 17:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.35 Lm: 6.996 (6.996) Lt: 6.293 (6.293) Accm: 2.22 (2.22) Acct: 3.67 (3.67) proj_loss: -0.5227 (-0.5227) time: 0.3616 data: 0.0003
[11-25 17:46:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.35 Lm: 7.073 (7.073) Lt: 6.431 (6.431) Accm: 2.04 (2.04) Acct: 3.15 (3.15) proj_loss: -0.5331 (-0.5331) time: 0.3616 data: 0.0003
[11-25 17:49:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.34 Lm: 7.054 (7.066) Lt: 6.370 (6.406) Accm: 2.08 (2.06) Acct: 3.06 (3.12) proj_loss: -0.5285 (-0.5304) time: 0.3622 data: 0.0003
[11-25 17:49:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.34 Lm: 6.995 (6.987) Lt: 6.312 (6.309) Accm: 2.29 (2.25) Acct: 3.70 (3.61) proj_loss: -0.5335 (-0.5283) time: 0.3621 data: 0.0003
[11-25 17:49:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.34 Lm: 6.967 (6.987) Lt: 6.278 (6.288) Accm: 2.31 (2.25) Acct: 3.62 (3.65) proj_loss: -0.5275 (-0.5265) time: 0.3621 data: 0.0002
[11-25 17:49:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.34 Lm: 7.050 (7.025) Lt: 6.409 (6.384) Accm: 2.04 (2.15) Acct: 3.22 (3.36) proj_loss: -0.5344 (-0.5356) time: 0.3621 data: 0.0003
[11-25 17:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.31 Lm: 7.065 (7.039) Lt: 6.425 (6.398) Accm: 2.06 (2.13) Acct: 3.25 (3.34) proj_loss: -0.5385 (-0.5426) time: 0.4493 data: 0.0003
[11-25 17:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.31 Lm: 7.025 (7.026) Lt: 6.324 (6.330) Accm: 2.17 (2.17) Acct: 3.53 (3.49) proj_loss: -0.5309 (-0.5301) time: 0.4493 data: 0.0002
[11-25 17:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.31 Lm: 7.006 (6.994) Lt: 6.326 (6.316) Accm: 2.22 (2.22) Acct: 3.54 (3.55) proj_loss: -0.5346 (-0.5314) time: 0.4493 data: 0.0003
[11-25 17:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:37 tlr: 0.00022 tnm: 0.31 Lm: 7.075 (7.075) Lt: 6.412 (6.418) Accm: 2.04 (2.01) Acct: 3.04 (3.04) proj_loss: -0.5268 (-0.5269) time: 0.4493 data: 0.0003
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.054 (7.056) Lt: 6.370 (6.403) Accm: 2.07 (2.02) Acct: 3.06 (3.05) proj_loss: -0.5285 (-0.5279) time: 0.3619 data: 0.0019
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:25 (0.374 s / it)
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.995 (6.986) Lt: 6.312 (6.308) Accm: 2.19 (2.21) Acct: 3.37 (3.50) proj_loss: -0.5357 (-0.5332) time: 0.3619 data: 0.0016
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.019 (7.025) Lt: 6.371 (6.345) Accm: 2.31 (2.21) Acct: 3.44 (3.48) proj_loss: -0.5342 (-0.5338) time: 0.3619 data: 0.0014
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.050 (7.041) Lt: 6.418 (6.402) Accm: 2.04 (2.10) Acct: 3.22 (3.29) proj_loss: -0.5426 (-0.5433) time: 0.3619 data: 0.0019
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:25 (0.374 s / it)
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:25 (0.374 s / it)
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:25 (0.374 s / it)
[11-25 17:54:54] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 7.020 (7.023), Lt: 6.372 (6.372), Acc m&t: 2.17 3.38, Remain: 2 days, 2:13:51, Finish: 2024-11-27 04:08
[11-25 17:54:54] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 7.020 (7.023), Lt: 6.372 (6.372), Acc m&t: 2.17 3.38, Remain: 2 days, 2:14:11, Finish: 2024-11-27 04:09
[11-25 17:54:54] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 7.020 (7.023), Lt: 6.372 (6.372), Acc m&t: 2.17 3.38, Remain: 2 days, 2:14:35, Finish: 2024-11-27 04:09
[11-25 17:54:54] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 7.020 (7.023), Lt: 6.372 (6.372), Acc m&t: 2.17 3.38, Remain: 2 days, 2:16:15, Finish: 2024-11-27 04:11
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:09:36 tlr: 0.00022 tnm: 0.33 Lm: 7.061 (7.061) Lt: 6.469 (6.469) Accm: 1.89 (1.89) Acct: 2.75 (2.75) proj_loss: -0.5432 (-0.5432) time: 0.3453 data: 0.0003
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:09:36 tlr: 0.00022 tnm: 0.33 Lm: 7.062 (7.062) Lt: 6.442 (6.442) Accm: 2.05 (2.05) Acct: 3.03 (3.03) proj_loss: -0.5412 (-0.5412) time: 0.3451 data: 0.0004
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:09:36 tlr: 0.00022 tnm: 0.33 Lm: 7.142 (7.142) Lt: 6.501 (6.501) Accm: 1.83 (1.83) Acct: 2.91 (2.91) proj_loss: -0.5233 (-0.5233) time: 0.3457 data: 0.0004
[11-25 17:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:09:37 tlr: 0.00022 tnm: 0.33 Lm: 7.037 (7.037) Lt: 6.408 (6.408) Accm: 2.13 (2.13) Acct: 3.31 (3.31) proj_loss: -0.5135 (-0.5135) time: 0.3461 data: 0.0004
[11-25 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.36 Lm: 6.953 (6.953) Lt: 6.324 (6.324) Accm: 2.36 (2.36) Acct: 3.54 (3.54) proj_loss: -0.5210 (-0.5210) time: 0.3606 data: 0.0003
[11-25 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.36 Lm: 7.064 (7.064) Lt: 6.432 (6.432) Accm: 2.17 (2.17) Acct: 3.31 (3.31) proj_loss: -0.5337 (-0.5337) time: 0.3606 data: 0.0003
[11-25 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.36 Lm: 7.055 (7.055) Lt: 6.436 (6.436) Accm: 1.85 (1.85) Acct: 2.92 (2.92) proj_loss: -0.5316 (-0.5316) time: 0.3606 data: 0.0003
[11-25 17:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.36 Lm: 7.148 (7.148) Lt: 6.516 (6.516) Accm: 1.90 (1.90) Acct: 3.07 (3.07) proj_loss: -0.5355 (-0.5355) time: 0.3606 data: 0.0003
[11-25 17:59:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.31 Lm: 7.142 (7.088) Lt: 6.501 (6.423) Accm: 1.97 (1.99) Acct: 3.24 (3.14) proj_loss: -0.5233 (-0.5289) time: 0.3605 data: 0.0002
[11-25 17:59:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.31 Lm: 7.048 (7.043) Lt: 6.402 (6.422) Accm: 1.89 (1.95) Acct: 3.08 (3.01) proj_loss: -0.5263 (-0.5298) time: 0.3605 data: 0.0002
[11-25 17:59:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.31 Lm: 6.973 (6.960) Lt: 6.298 (6.315) Accm: 2.24 (2.32) Acct: 3.72 (3.60) proj_loss: -0.5285 (-0.5248) time: 0.3605 data: 0.0003
[11-25 17:59:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:00 tlr: 0.00022 tnm: 0.31 Lm: 7.062 (7.057) Lt: 6.422 (6.418) Accm: 2.15 (2.16) Acct: 3.27 (3.30) proj_loss: -0.5263 (-0.5298) time: 0.3606 data: 0.0003
[11-25 18:02:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.36 Lm: 7.053 (7.052) Lt: 6.405 (6.409) Accm: 2.12 (2.14) Acct: 3.28 (3.30) proj_loss: -0.5287 (-0.5301) time: 0.3575 data: 0.0002
[11-25 18:02:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.36 Lm: 7.073 (7.067) Lt: 6.416 (6.400) Accm: 2.07 (2.04) Acct: 3.25 (3.22) proj_loss: -0.5196 (-0.5253) time: 0.3575 data: 0.0003
[11-25 18:02:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.36 Lm: 7.034 (7.023) Lt: 6.399 (6.384) Accm: 2.02 (2.02) Acct: 3.14 (3.20) proj_loss: -0.5310 (-0.5313) time: 0.3575 data: 0.0002
[11-25 18:02:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.36 Lm: 6.991 (6.972) Lt: 6.304 (6.314) Accm: 2.19 (2.27) Acct: 3.54 (3.54) proj_loss: -0.5304 (-0.5287) time: 0.3575 data: 0.0003
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.009 (6.997) Lt: 6.309 (6.346) Accm: 2.13 (2.24) Acct: 3.36 (3.46) proj_loss: -0.5297 (-0.5289) time: 0.3628 data: 0.0022
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:01 (0.360 s / it)
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.043 (7.037) Lt: 6.389 (6.390) Accm: 2.15 (2.17) Acct: 3.29 (3.30) proj_loss: -0.5263 (-0.5290) time: 0.3628 data: 0.0020
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.048 (7.045) Lt: 6.402 (6.398) Accm: 2.04 (2.02) Acct: 3.20 (3.23) proj_loss: -0.5263 (-0.5293) time: 0.3628 data: 0.0019
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.022 (7.058) Lt: 6.335 (6.387) Accm: 2.17 (2.07) Acct: 3.25 (3.23) proj_loss: -0.5233 (-0.5264) time: 0.3628 data: 0.0019
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:01 (0.360 s / it)
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:01 (0.360 s / it)
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:01 (0.360 s / it)
[11-25 18:04:55] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 7.013 (7.013), Lt: 6.359 (6.359), Acc m&t: 2.18 3.40, Remain: 2 days, 2:11:31, Finish: 2024-11-27 04:16
[11-25 18:04:55] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 7.013 (7.013), Lt: 6.359 (6.359), Acc m&t: 2.18 3.40, Remain: 2 days, 2:12:43, Finish: 2024-11-27 04:17
[11-25 18:04:55] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 7.013 (7.013), Lt: 6.359 (6.359), Acc m&t: 2.18 3.40, Remain: 2 days, 2:13:32, Finish: 2024-11-27 04:18
[11-25 18:04:55] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 7.013 (7.013), Lt: 6.359 (6.359), Acc m&t: 2.18 3.40, Remain: 2 days, 2:15:30, Finish: 2024-11-27 04:20
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:10:11 tlr: 0.00022 tnm: 0.34 Lm: 7.068 (7.068) Lt: 6.397 (6.397) Accm: 2.03 (2.03) Acct: 3.48 (3.48) proj_loss: -0.5162 (-0.5162) time: 0.3667 data: 0.0003
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:09:53 tlr: 0.00022 tnm: 0.34 Lm: 6.988 (6.988) Lt: 6.316 (6.316) Accm: 2.44 (2.44) Acct: 3.87 (3.87) proj_loss: -0.5280 (-0.5280) time: 0.3555 data: 0.0004
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:09:50 tlr: 0.00022 tnm: 0.34 Lm: 7.082 (7.082) Lt: 6.445 (6.445) Accm: 1.97 (1.97) Acct: 2.89 (2.89) proj_loss: -0.5396 (-0.5396) time: 0.3536 data: 0.0003
[11-25 18:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:09:48 tlr: 0.00022 tnm: 0.34 Lm: 7.106 (7.106) Lt: 6.537 (6.537) Accm: 1.81 (1.81) Acct: 2.62 (2.62) proj_loss: -0.5183 (-0.5183) time: 0.3529 data: 0.0003
[11-25 18:07:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.048 (7.048) Lt: 6.439 (6.439) Accm: 1.99 (1.99) Acct: 3.03 (3.03) proj_loss: -0.5220 (-0.5220) time: 0.3609 data: 0.0003
[11-25 18:07:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.054 (7.054) Lt: 6.418 (6.418) Accm: 2.12 (2.12) Acct: 3.43 (3.43) proj_loss: -0.5268 (-0.5268) time: 0.3609 data: 0.0002
[11-25 18:07:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.084 (7.084) Lt: 6.435 (6.435) Accm: 2.10 (2.10) Acct: 3.09 (3.09) proj_loss: -0.5333 (-0.5333) time: 0.3609 data: 0.0003
[11-25 18:07:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.028 (7.028) Lt: 6.381 (6.381) Accm: 2.16 (2.16) Acct: 3.42 (3.42) proj_loss: -0.5271 (-0.5271) time: 0.3609 data: 0.0003
[11-25 18:09:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.36 Lm: 6.988 (7.006) Lt: 6.356 (6.373) Accm: 2.34 (2.22) Acct: 3.68 (3.51) proj_loss: -0.5280 (-0.5299) time: 0.3635 data: 0.0002
[11-25 18:09:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.36 Lm: 7.040 (7.028) Lt: 6.397 (6.381) Accm: 2.18 (2.14) Acct: 3.37 (3.41) proj_loss: -0.5162 (-0.5213) time: 0.3635 data: 0.0002
[11-25 18:09:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.36 Lm: 7.031 (7.042) Lt: 6.386 (6.422) Accm: 2.17 (2.05) Acct: 3.32 (3.13) proj_loss: -0.5256 (-0.5266) time: 0.3635 data: 0.0002
[11-25 18:09:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.36 Lm: 7.082 (7.083) Lt: 6.445 (6.441) Accm: 1.99 (2.06) Acct: 3.03 (3.07) proj_loss: -0.5297 (-0.5321) time: 0.3635 data: 0.0003
[11-25 18:12:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.32 Lm: 7.084 (7.092) Lt: 6.449 (6.445) Accm: 1.99 (2.05) Acct: 3.06 (3.07) proj_loss: -0.5283 (-0.5277) time: 0.3608 data: 0.0003
[11-25 18:12:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.32 Lm: 7.054 (7.073) Lt: 6.418 (6.439) Accm: 2.11 (2.01) Acct: 3.37 (3.17) proj_loss: -0.5228 (-0.5233) time: 0.3608 data: 0.0002
[11-25 18:12:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.32 Lm: 7.015 (7.015) Lt: 6.365 (6.373) Accm: 2.24 (2.20) Acct: 3.60 (3.51) proj_loss: -0.5276 (-0.5292) time: 0.3608 data: 0.0003
[11-25 18:12:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.32 Lm: 7.069 (7.065) Lt: 6.459 (6.449) Accm: 2.12 (2.05) Acct: 3.35 (3.19) proj_loss: -0.5307 (-0.5340) time: 0.3608 data: 0.0002
[11-25 18:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.031 (7.042) Lt: 6.386 (6.416) Accm: 2.17 (2.12) Acct: 3.37 (3.29) proj_loss: -0.5357 (-0.5351) time: 0.3629 data: 0.0016
[11-25 18:14:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:10:02 (0.361 s / it)
[11-25 18:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.082 (7.072) Lt: 6.445 (6.422) Accm: 1.99 (2.08) Acct: 3.08 (3.17) proj_loss: -0.5270 (-0.5262) time: 0.3629 data: 0.0019
[11-25 18:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.990 (7.010) Lt: 6.356 (6.366) Accm: 2.13 (2.16) Acct: 3.51 (3.46) proj_loss: -0.5273 (-0.5288) time: 0.3629 data: 0.0019
[11-25 18:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.068 (7.072) Lt: 6.438 (6.440) Accm: 2.13 (2.04) Acct: 3.37 (3.19) proj_loss: -0.5278 (-0.5242) time: 0.3629 data: 0.0017
[11-25 18:14:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:10:02 (0.361 s / it)
[11-25 18:14:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:10:02 (0.361 s / it)
[11-25 18:14:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:10:02 (0.361 s / it)
[11-25 18:14:57] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 7.012 (7.012), Lt: 6.359 (6.361), Acc m&t: 2.18 3.40, Remain: 2 days, 2:05:37, Finish: 2024-11-27 04:20
[11-25 18:14:57] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 7.012 (7.012), Lt: 6.359 (6.361), Acc m&t: 2.18 3.40, Remain: 2 days, 2:05:05, Finish: 2024-11-27 04:20
[11-25 18:14:57] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 7.012 (7.012), Lt: 6.359 (6.361), Acc m&t: 2.18 3.40, Remain: 2 days, 2:05:42, Finish: 2024-11-27 04:20
[11-25 18:14:57] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 7.012 (7.012), Lt: 6.359 (6.361), Acc m&t: 2.18 3.40, Remain: 2 days, 2:03:45, Finish: 2024-11-27 04:18
[11-25 18:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:09:59 tlr: 0.00022 tnm: 0.33 Lm: 6.975 (6.975) Lt: 6.370 (6.370) Accm: 2.35 (2.35) Acct: 3.58 (3.58) proj_loss: -0.5494 (-0.5494) time: 0.3589 data: 0.0003
[11-25 18:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:09:58 tlr: 0.00022 tnm: 0.33 Lm: 7.098 (7.098) Lt: 6.479 (6.479) Accm: 1.94 (1.94) Acct: 2.89 (2.89) proj_loss: -0.5198 (-0.5198) time: 0.3588 data: 0.0003
[11-25 18:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:01 tlr: 0.00022 tnm: 0.33 Lm: 7.048 (7.048) Lt: 6.423 (6.423) Accm: 2.16 (2.16) Acct: 3.29 (3.29) proj_loss: -0.5378 (-0.5378) time: 0.3601 data: 0.0003
[11-25 18:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:05 tlr: 0.00022 tnm: 0.33 Lm: 7.060 (7.060) Lt: 6.423 (6.423) Accm: 2.03 (2.03) Acct: 3.12 (3.12) proj_loss: -0.5461 (-0.5461) time: 0.3628 data: 0.0004
[11-25 18:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.093 (7.093) Lt: 6.449 (6.449) Accm: 1.86 (1.86) Acct: 2.91 (2.91) proj_loss: -0.5388 (-0.5388) time: 0.3611 data: 0.0003
[11-25 18:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.037 (7.037) Lt: 6.435 (6.435) Accm: 2.14 (2.14) Acct: 3.20 (3.20) proj_loss: -0.5526 (-0.5526) time: 0.3611 data: 0.0002
[11-25 18:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.021 (7.021) Lt: 6.357 (6.357) Accm: 2.07 (2.07) Acct: 3.25 (3.25) proj_loss: -0.5278 (-0.5278) time: 0.3611 data: 0.0003
[11-25 18:17:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.101 (7.101) Lt: 6.454 (6.454) Accm: 2.03 (2.03) Acct: 3.12 (3.12) proj_loss: -0.5182 (-0.5182) time: 0.3611 data: 0.0002
[11-25 18:20:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.33 Lm: 7.098 (7.035) Lt: 6.428 (6.398) Accm: 2.12 (2.17) Acct: 3.34 (3.28) proj_loss: -0.5198 (-0.5264) time: 0.4408 data: 0.0002
[11-25 18:20:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.33 Lm: 6.995 (7.002) Lt: 6.290 (6.331) Accm: 2.16 (2.18) Acct: 3.29 (3.38) proj_loss: -0.5316 (-0.5290) time: 0.4408 data: 0.0003
[11-25 18:20:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.33 Lm: 6.975 (7.007) Lt: 6.370 (6.387) Accm: 2.25 (2.18) Acct: 3.00 (3.13) proj_loss: -0.5523 (-0.5525) time: 0.4408 data: 0.0002
[11-25 18:20:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:03 tlr: 0.00022 tnm: 0.33 Lm: 7.060 (7.081) Lt: 6.423 (6.429) Accm: 2.03 (2.00) Acct: 3.12 (3.12) proj_loss: -0.5461 (-0.5457) time: 0.4408 data: 0.0003
[11-25 18:22:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.35 Lm: 7.059 (7.056) Lt: 6.406 (6.401) Accm: 2.15 (2.11) Acct: 3.33 (3.27) proj_loss: -0.5410 (-0.5432) time: 0.3584 data: 0.0003
[11-25 18:22:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.35 Lm: 6.986 (6.996) Lt: 6.305 (6.328) Accm: 2.24 (2.21) Acct: 3.41 (3.42) proj_loss: -0.5347 (-0.5316) time: 0.3584 data: 0.0002
[11-25 18:22:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.35 Lm: 7.012 (7.008) Lt: 6.357 (6.363) Accm: 2.26 (2.23) Acct: 3.48 (3.38) proj_loss: -0.5242 (-0.5269) time: 0.3584 data: 0.0002
[11-25 18:22:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:38 tlr: 0.00022 tnm: 0.35 Lm: 6.999 (7.011) Lt: 6.358 (6.376) Accm: 2.18 (2.16) Acct: 3.08 (3.14) proj_loss: -0.5509 (-0.5499) time: 0.3584 data: 0.0003
[11-25 18:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.005 (7.010) Lt: 6.370 (6.383) Accm: 2.16 (2.16) Acct: 3.17 (3.20) proj_loss: -0.5494 (-0.5480) time: 0.3645 data: 0.0016
[11-25 18:25:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:24 (0.374 s / it)
[11-25 18:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.035 (7.013) Lt: 6.338 (6.358) Accm: 2.12 (2.18) Acct: 3.34 (3.36) proj_loss: -0.5285 (-0.5279) time: 0.3645 data: 0.0018
[11-25 18:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.994 (6.995) Lt: 6.319 (6.334) Accm: 2.16 (2.18) Acct: 3.29 (3.36) proj_loss: -0.5316 (-0.5299) time: 0.3645 data: 0.0019
[11-25 18:25:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 7.058 (7.051) Lt: 6.423 (6.405) Accm: 2.03 (2.08) Acct: 3.12 (3.20) proj_loss: -0.5461 (-0.5448) time: 0.3645 data: 0.0018
[11-25 18:25:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:24 (0.374 s / it)
[11-25 18:25:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:24 (0.374 s / it)
[11-25 18:25:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:24 (0.374 s / it)
[11-25 18:25:22] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 7.008 (7.008), Lt: 6.356 (6.356), Acc m&t: 2.18 3.40, Remain: 2 days, 1:45:39, Finish: 2024-11-27 04:11
[11-25 18:25:22] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 7.008 (7.008), Lt: 6.356 (6.356), Acc m&t: 2.18 3.40, Remain: 2 days, 1:45:14, Finish: 2024-11-27 04:10
[11-25 18:25:22] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 7.008 (7.008), Lt: 6.356 (6.356), Acc m&t: 2.18 3.40, Remain: 2 days, 1:45:15, Finish: 2024-11-27 04:10
[11-25 18:25:22] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 7.008 (7.008), Lt: 6.356 (6.356), Acc m&t: 2.18 3.40, Remain: 2 days, 1:46:11, Finish: 2024-11-27 04:11
[11-25 18:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:09:40 tlr: 0.00022 tnm: 0.32 Lm: 7.045 (7.045) Lt: 6.390 (6.390) Accm: 1.89 (1.89) Acct: 2.84 (2.84) proj_loss: -0.5205 (-0.5205) time: 0.3481 data: 0.0004
[11-25 18:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:09:42 tlr: 0.00022 tnm: 0.32 Lm: 6.990 (6.990) Lt: 6.310 (6.310) Accm: 1.97 (1.97) Acct: 2.96 (2.96) proj_loss: -0.5086 (-0.5086) time: 0.3490 data: 0.0004
[11-25 18:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:09:42 tlr: 0.00022 tnm: 0.32 Lm: 7.009 (7.009) Lt: 6.391 (6.391) Accm: 2.24 (2.24) Acct: 3.48 (3.48) proj_loss: -0.5269 (-0.5269) time: 0.3492 data: 0.0004
[11-25 18:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:09:42 tlr: 0.00022 tnm: 0.32 Lm: 6.924 (6.924) Lt: 6.242 (6.242) Accm: 2.30 (2.30) Acct: 3.74 (3.74) proj_loss: -0.5423 (-0.5423) time: 0.3488 data: 0.0004
[11-25 18:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.993 (6.993) Lt: 6.348 (6.348) Accm: 2.17 (2.17) Acct: 3.39 (3.39) proj_loss: -0.5413 (-0.5413) time: 0.3602 data: 0.0003
[11-25 18:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 7.055 (7.055) Lt: 6.419 (6.419) Accm: 1.90 (1.90) Acct: 2.90 (2.90) proj_loss: -0.5195 (-0.5195) time: 0.3602 data: 0.0003
[11-25 18:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 6.993 (6.993) Lt: 6.327 (6.327) Accm: 1.94 (1.94) Acct: 2.98 (2.98) proj_loss: -0.5216 (-0.5216) time: 0.3602 data: 0.0002
[11-25 18:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:32 tlr: 0.00022 tnm: 0.33 Lm: 7.078 (7.078) Lt: 6.450 (6.450) Accm: 2.03 (2.03) Acct: 3.06 (3.06) proj_loss: -0.5326 (-0.5326) time: 0.3602 data: 0.0003
[11-25 18:30:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.30 Lm: 7.009 (7.012) Lt: 6.391 (6.380) Accm: 2.24 (2.19) Acct: 3.48 (3.37) proj_loss: -0.5383 (-0.5350) time: 0.3586 data: 0.0003
[11-25 18:30:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.30 Lm: 6.990 (7.011) Lt: 6.310 (6.371) Accm: 1.97 (2.01) Acct: 2.96 (3.05) proj_loss: -0.5303 (-0.5311) time: 0.3586 data: 0.0002
[11-25 18:30:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.30 Lm: 6.999 (6.995) Lt: 6.375 (6.343) Accm: 2.00 (1.99) Acct: 3.00 (2.98) proj_loss: -0.5228 (-0.5317) time: 0.3586 data: 0.0002
[11-25 18:30:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.30 Lm: 6.935 (6.973) Lt: 6.254 (6.316) Accm: 2.20 (2.18) Acct: 3.55 (3.44) proj_loss: -0.5403 (-0.5408) time: 0.3586 data: 0.0002
[11-25 18:32:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.34 Lm: 6.998 (7.004) Lt: 6.353 (6.352) Accm: 2.12 (2.10) Acct: 3.34 (3.37) proj_loss: -0.5413 (-0.5421) time: 0.3610 data: 0.0003
[11-25 18:32:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.34 Lm: 6.970 (6.977) Lt: 6.343 (6.335) Accm: 2.04 (2.04) Acct: 3.06 (3.06) proj_loss: -0.5288 (-0.5325) time: 0.3609 data: 0.0002
[11-25 18:32:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.34 Lm: 6.989 (7.005) Lt: 6.318 (6.360) Accm: 2.10 (2.14) Acct: 3.15 (3.33) proj_loss: -0.5419 (-0.5367) time: 0.3610 data: 0.0003
[11-25 18:32:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.34 Lm: 6.994 (7.004) Lt: 6.365 (6.370) Accm: 2.25 (2.20) Acct: 3.48 (3.40) proj_loss: -0.5391 (-0.5398) time: 0.3610 data: 0.0003
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.38 Lm: 6.941 (6.968) Lt: 6.311 (6.324) Accm: 2.08 (2.11) Acct: 3.12 (3.18) proj_loss: -0.5339 (-0.5328) time: 0.3640 data: 0.0016
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.38 Lm: 6.988 (6.998) Lt: 6.310 (6.345) Accm: 2.23 (2.17) Acct: 3.34 (3.40) proj_loss: -0.5303 (-0.5349) time: 0.3640 data: 0.0021
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.38 Lm: 6.979 (6.991) Lt: 6.339 (6.360) Accm: 2.24 (2.20) Acct: 3.48 (3.40) proj_loss: -0.5399 (-0.5404) time: 0.3640 data: 0.0019
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.38 Lm: 7.062 (7.016) Lt: 6.421 (6.366) Accm: 2.13 (2.11) Acct: 3.32 (3.36) proj_loss: -0.5423 (-0.5432) time: 0.3640 data: 0.0019
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:01 (0.360 s / it)
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:01 (0.360 s / it)
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:01 (0.360 s / it)
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:01 (0.360 s / it)
[11-25 18:35:24] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 7.008 (7.019), Lt: 6.356 (6.370), Acc m&t: 2.18 3.40, Remain: 2 days, 1:41:30, Finish: 2024-11-27 04:16
[11-25 18:35:24] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 7.008 (7.019), Lt: 6.356 (6.370), Acc m&t: 2.18 3.40, Remain: 2 days, 1:43:24, Finish: 2024-11-27 04:18
[11-25 18:35:24] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 7.008 (7.019), Lt: 6.356 (6.370), Acc m&t: 2.18 3.40, Remain: 2 days, 1:41:02, Finish: 2024-11-27 04:16
[11-25 18:35:24] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 7.008 (7.019), Lt: 6.356 (6.370), Acc m&t: 2.18 3.40, Remain: 2 days, 1:40:34, Finish: 2024-11-27 04:15
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:09:43 tlr: 0.00022 tnm: 0.34 Lm: 7.078 (7.078) Lt: 6.421 (6.421) Accm: 1.98 (1.98) Acct: 3.15 (3.15) proj_loss: -0.5248 (-0.5248) time: 0.3495 data: 0.0004
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:09:43 tlr: 0.00022 tnm: 0.34 Lm: 7.113 (7.113) Lt: 6.488 (6.488) Accm: 1.92 (1.92) Acct: 2.89 (2.89) proj_loss: -0.5413 (-0.5413) time: 0.3495 data: 0.0003
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:09:35 tlr: 0.00022 tnm: 0.34 Lm: 7.165 (7.165) Lt: 6.559 (6.559) Accm: 1.86 (1.86) Acct: 3.05 (3.05) proj_loss: -0.5148 (-0.5148) time: 0.3450 data: 0.0004
[11-25 18:35:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:09:41 tlr: 0.00022 tnm: 0.34 Lm: 6.816 (6.816) Lt: 6.127 (6.127) Accm: 2.40 (2.40) Acct: 3.87 (3.87) proj_loss: -0.5458 (-0.5458) time: 0.3485 data: 0.0004
[11-25 18:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.31 Lm: 6.879 (6.879) Lt: 6.211 (6.211) Accm: 2.41 (2.41) Acct: 3.79 (3.79) proj_loss: -0.5406 (-0.5406) time: 0.3617 data: 0.0002
[11-25 18:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.31 Lm: 7.055 (7.055) Lt: 6.437 (6.437) Accm: 2.00 (2.00) Acct: 3.18 (3.18) proj_loss: -0.5328 (-0.5328) time: 0.3617 data: 0.0002
[11-25 18:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.31 Lm: 7.099 (7.099) Lt: 6.463 (6.463) Accm: 1.86 (1.86) Acct: 2.95 (2.95) proj_loss: -0.5447 (-0.5447) time: 0.3617 data: 0.0003
[11-25 18:37:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.31 Lm: 7.093 (7.093) Lt: 6.444 (6.444) Accm: 2.02 (2.02) Acct: 3.18 (3.18) proj_loss: -0.5376 (-0.5376) time: 0.3617 data: 0.0003
[11-25 18:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.32 Lm: 7.078 (7.061) Lt: 6.421 (6.414) Accm: 2.00 (2.01) Acct: 3.15 (3.12) proj_loss: -0.5295 (-0.5349) time: 0.3613 data: 0.0003
[11-25 18:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.32 Lm: 7.030 (7.047) Lt: 6.348 (6.407) Accm: 2.11 (2.04) Acct: 3.31 (3.24) proj_loss: -0.5502 (-0.5386) time: 0.3613 data: 0.0002
[11-25 18:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.32 Lm: 6.852 (6.870) Lt: 6.157 (6.193) Accm: 2.42 (2.43) Acct: 3.87 (3.83) proj_loss: -0.5354 (-0.5374) time: 0.3613 data: 0.0002
[11-25 18:40:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:01 tlr: 0.00022 tnm: 0.32 Lm: 7.085 (7.007) Lt: 6.439 (6.352) Accm: 1.92 (2.16) Acct: 3.01 (3.41) proj_loss: -0.5413 (-0.5435) time: 0.3613 data: 0.0002
[11-25 18:42:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.34 Lm: 7.072 (7.020) Lt: 6.436 (6.372) Accm: 1.88 (2.08) Acct: 2.95 (3.27) proj_loss: -0.5447 (-0.5476) time: 0.3601 data: 0.0003
[11-25 18:42:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.34 Lm: 7.046 (7.051) Lt: 6.367 (6.402) Accm: 2.12 (2.11) Acct: 3.33 (3.34) proj_loss: -0.5443 (-0.5386) time: 0.3601 data: 0.0003
[11-25 18:42:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.34 Lm: 6.890 (6.885) Lt: 6.216 (6.214) Accm: 2.41 (2.37) Acct: 3.79 (3.72) proj_loss: -0.5406 (-0.5400) time: 0.3601 data: 0.0002
[11-25 18:42:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:30 tlr: 0.00022 tnm: 0.34 Lm: 7.040 (7.046) Lt: 6.393 (6.402) Accm: 2.03 (2.08) Acct: 3.18 (3.17) proj_loss: -0.5366 (-0.5371) time: 0.3601 data: 0.0003
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.002 (7.030) Lt: 6.364 (6.388) Accm: 2.05 (2.12) Acct: 3.20 (3.20) proj_loss: -0.5436 (-0.5404) time: 0.3602 data: 0.0018
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:10:01 (0.361 s / it)
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.039 (7.049) Lt: 6.386 (6.408) Accm: 2.11 (2.10) Acct: 3.31 (3.27) proj_loss: -0.5502 (-0.5421) time: 0.3602 data: 0.0019
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.929 (6.912) Lt: 6.276 (6.253) Accm: 2.40 (2.34) Acct: 3.70 (3.64) proj_loss: -0.5458 (-0.5429) time: 0.3602 data: 0.0017
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 7.082 (7.033) Lt: 6.434 (6.383) Accm: 1.92 (2.08) Acct: 3.01 (3.27) proj_loss: -0.5413 (-0.5443) time: 0.3602 data: 0.0016
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:10:01 (0.361 s / it)
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:10:01 (0.361 s / it)
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:10:01 (0.361 s / it)
[11-25 18:45:26] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 7.008 (7.008), Lt: 6.356 (6.358), Acc m&t: 2.19 3.43, Remain: 2 days, 0:59:10, Finish: 2024-11-27 03:44
[11-25 18:45:26] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 7.008 (7.008), Lt: 6.356 (6.358), Acc m&t: 2.19 3.43, Remain: 2 days, 0:59:56, Finish: 2024-11-27 03:45
[11-25 18:45:26] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 7.008 (7.008), Lt: 6.356 (6.358), Acc m&t: 2.19 3.43, Remain: 2 days, 0:59:21, Finish: 2024-11-27 03:44
[11-25 18:45:26] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 7.008 (7.008), Lt: 6.356 (6.358), Acc m&t: 2.19 3.43, Remain: 2 days, 1:00:42, Finish: 2024-11-27 03:46
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:09:49 tlr: 0.00022 tnm: 0.32 Lm: 6.981 (6.981) Lt: 6.314 (6.314) Accm: 2.24 (2.24) Acct: 3.32 (3.32) proj_loss: -0.5383 (-0.5383) time: 0.3531 data: 0.0003
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:09:50 tlr: 0.00022 tnm: 0.32 Lm: 7.019 (7.019) Lt: 6.363 (6.363) Accm: 2.31 (2.31) Acct: 3.72 (3.72) proj_loss: -0.5618 (-0.5618) time: 0.3537 data: 0.0003
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:09:50 tlr: 0.00022 tnm: 0.32 Lm: 7.108 (7.108) Lt: 6.507 (6.507) Accm: 2.09 (2.09) Acct: 3.34 (3.34) proj_loss: -0.5398 (-0.5398) time: 0.3540 data: 0.0003
[11-25 18:45:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:10:03 tlr: 0.00022 tnm: 0.32 Lm: 6.911 (6.911) Lt: 6.273 (6.273) Accm: 2.44 (2.44) Acct: 3.72 (3.72) proj_loss: -0.5320 (-0.5320) time: 0.3615 data: 0.0004
[11-25 18:47:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.36 Lm: 7.026 (7.026) Lt: 6.396 (6.396) Accm: 2.28 (2.28) Acct: 3.44 (3.44) proj_loss: -0.5352 (-0.5352) time: 0.3600 data: 0.0002
[11-25 18:47:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.36 Lm: 7.040 (7.040) Lt: 6.388 (6.388) Accm: 2.23 (2.23) Acct: 3.49 (3.49) proj_loss: -0.5444 (-0.5444) time: 0.3600 data: 0.0003
[11-25 18:47:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.36 Lm: 6.987 (6.987) Lt: 6.330 (6.330) Accm: 2.21 (2.21) Acct: 3.34 (3.34) proj_loss: -0.5312 (-0.5312) time: 0.3600 data: 0.0002
[11-25 18:47:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.36 Lm: 7.047 (7.047) Lt: 6.402 (6.402) Accm: 2.20 (2.20) Acct: 3.48 (3.48) proj_loss: -0.5263 (-0.5263) time: 0.3600 data: 0.0003
[11-25 18:50:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:15 tlr: 0.00022 tnm: 0.32 Lm: 7.016 (7.036) Lt: 6.326 (6.377) Accm: 2.09 (2.16) Acct: 3.55 (3.50) proj_loss: -0.5303 (-0.5276) time: 0.4127 data: 0.0003
[11-25 18:50:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:15 tlr: 0.00022 tnm: 0.32 Lm: 6.911 (6.963) Lt: 6.273 (6.288) Accm: 2.44 (2.40) Acct: 3.72 (3.66) proj_loss: -0.5320 (-0.5330) time: 0.4127 data: 0.0003
[11-25 18:50:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:15 tlr: 0.00022 tnm: 0.32 Lm: 7.019 (7.014) Lt: 6.363 (6.350) Accm: 2.31 (2.26) Acct: 3.72 (3.60) proj_loss: -0.5491 (-0.5460) time: 0.4127 data: 0.0002
[11-25 18:50:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:15 tlr: 0.00022 tnm: 0.32 Lm: 6.992 (7.009) Lt: 6.345 (6.347) Accm: 2.24 (2.25) Acct: 3.36 (3.47) proj_loss: -0.5240 (-0.5270) time: 0.4127 data: 0.0002
[11-25 18:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 7.022 (7.033) Lt: 6.364 (6.377) Accm: 2.21 (2.16) Acct: 3.34 (3.37) proj_loss: -0.5312 (-0.5326) time: 0.3609 data: 0.0002
[11-25 18:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 7.040 (7.037) Lt: 6.388 (6.378) Accm: 2.23 (2.20) Acct: 3.49 (3.50) proj_loss: -0.5516 (-0.5480) time: 0.3609 data: 0.0003
[11-25 18:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.991 (6.990) Lt: 6.351 (6.324) Accm: 2.34 (2.36) Acct: 3.68 (3.65) proj_loss: -0.5352 (-0.5346) time: 0.3609 data: 0.0003
[11-25 18:53:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 7.005 (7.026) Lt: 6.343 (6.372) Accm: 2.13 (2.16) Acct: 3.49 (3.48) proj_loss: -0.5311 (-0.5287) time: 0.3608 data: 0.0003
[11-25 18:55:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.994 (7.015) Lt: 6.342 (6.366) Accm: 2.18 (2.19) Acct: 3.51 (3.49) proj_loss: -0.5318 (-0.5311) time: 0.3618 data: 0.0019
[11-25 18:55:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:26 (0.376 s / it)
[11-25 18:55:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.019 (7.029) Lt: 6.363 (6.372) Accm: 2.21 (2.20) Acct: 3.27 (3.45) proj_loss: -0.5491 (-0.5472) time: 0.3618 data: 0.0016
[11-25 18:55:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.992 (7.020) Lt: 6.345 (6.359) Accm: 2.24 (2.19) Acct: 3.36 (3.37) proj_loss: -0.5310 (-0.5323) time: 0.3618 data: 0.0015
[11-25 18:55:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 7.010 (6.994) Lt: 6.327 (6.324) Accm: 2.24 (2.28) Acct: 3.65 (3.56) proj_loss: -0.5320 (-0.5317) time: 0.3618 data: 0.0017
[11-25 18:55:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:26 (0.376 s / it)
[11-25 18:55:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:26 (0.376 s / it)
[11-25 18:55:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:26 (0.376 s / it)
[11-25 18:55:52] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.998 (6.998), Lt: 6.341 (6.341), Acc m&t: 2.21 3.47, Remain: 2 days, 1:11:38, Finish: 2024-11-27 04:07
[11-25 18:55:52] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.998 (6.998), Lt: 6.341 (6.341), Acc m&t: 2.21 3.47, Remain: 2 days, 1:13:11, Finish: 2024-11-27 04:09
[11-25 18:55:52] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.998 (6.998), Lt: 6.341 (6.341), Acc m&t: 2.21 3.47, Remain: 2 days, 1:11:32, Finish: 2024-11-27 04:07
[11-25 18:55:52] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.998 (6.998), Lt: 6.341 (6.341), Acc m&t: 2.21 3.47, Remain: 2 days, 1:12:43, Finish: 2024-11-27 04:08
[11-25 18:55:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:09:45 tlr: 0.00022 tnm: 0.31 Lm: 7.022 (7.022) Lt: 6.406 (6.406) Accm: 2.21 (2.21) Acct: 3.19 (3.19) proj_loss: -0.5270 (-0.5270) time: 0.3510 data: 0.0004
[11-25 18:55:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:09:45 tlr: 0.00022 tnm: 0.31 Lm: 7.117 (7.117) Lt: 6.439 (6.439) Accm: 2.11 (2.11) Acct: 3.48 (3.48) proj_loss: -0.5195 (-0.5195) time: 0.3509 data: 0.0004
[11-25 18:55:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:09:46 tlr: 0.00022 tnm: 0.31 Lm: 7.054 (7.054) Lt: 6.377 (6.377) Accm: 2.16 (2.16) Acct: 3.48 (3.48) proj_loss: -0.5415 (-0.5415) time: 0.3513 data: 0.0004
[11-25 18:55:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:09:46 tlr: 0.00022 tnm: 0.31 Lm: 7.079 (7.079) Lt: 6.501 (6.501) Accm: 2.15 (2.15) Acct: 3.13 (3.13) proj_loss: -0.5304 (-0.5304) time: 0.3513 data: 0.0004
[11-25 18:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 6.965 (6.965) Lt: 6.340 (6.340) Accm: 2.34 (2.34) Acct: 3.48 (3.48) proj_loss: -0.5348 (-0.5348) time: 0.3601 data: 0.0003
[11-25 18:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.108 (7.108) Lt: 6.458 (6.458) Accm: 1.94 (1.94) Acct: 3.08 (3.08) proj_loss: -0.5279 (-0.5279) time: 0.3601 data: 0.0002
[11-25 18:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.058 (7.058) Lt: 6.412 (6.412) Accm: 2.02 (2.02) Acct: 3.09 (3.09) proj_loss: -0.5360 (-0.5360) time: 0.3601 data: 0.0002
[11-25 18:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:07:31 tlr: 0.00022 tnm: 0.33 Lm: 7.062 (7.062) Lt: 6.417 (6.417) Accm: 2.11 (2.11) Acct: 3.31 (3.31) proj_loss: -0.5436 (-0.5436) time: 0.3601 data: 0.0003
[11-25 19:00:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.35 Lm: 7.054 (6.991) Lt: 6.377 (6.315) Accm: 2.16 (2.30) Acct: 3.48 (3.62) proj_loss: -0.5415 (-0.5426) time: 0.3599 data: 0.0003
[11-25 19:00:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.35 Lm: 7.022 (7.008) Lt: 6.406 (6.363) Accm: 2.21 (2.17) Acct: 3.19 (3.24) proj_loss: -0.5449 (-0.5441) time: 0.3599 data: 0.0002
[11-25 19:00:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.35 Lm: 7.099 (7.056) Lt: 6.439 (6.413) Accm: 2.11 (2.07) Acct: 3.48 (3.24) proj_loss: -0.5362 (-0.5315) time: 0.3599 data: 0.0002
[11-25 19:00:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.35 Lm: 6.936 (6.955) Lt: 6.295 (6.325) Accm: 2.25 (2.31) Acct: 3.41 (3.46) proj_loss: -0.5392 (-0.5371) time: 0.3599 data: 0.0003
[11-25 19:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.35 Lm: 6.903 (6.934) Lt: 6.247 (6.294) Accm: 2.35 (2.34) Acct: 3.61 (3.54) proj_loss: -0.5348 (-0.5338) time: 0.3597 data: 0.0003
[11-25 19:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.35 Lm: 7.058 (7.037) Lt: 6.412 (6.392) Accm: 2.02 (2.08) Acct: 3.11 (3.19) proj_loss: -0.5379 (-0.5408) time: 0.3597 data: 0.0002
[11-25 19:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.35 Lm: 6.993 (6.976) Lt: 6.315 (6.299) Accm: 2.28 (2.32) Acct: 3.57 (3.63) proj_loss: -0.5410 (-0.5420) time: 0.3597 data: 0.0003
[11-25 19:03:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.35 Lm: 7.044 (7.039) Lt: 6.381 (6.378) Accm: 2.20 (2.12) Acct: 3.51 (3.37) proj_loss: -0.5376 (-0.5344) time: 0.3597 data: 0.0003
[11-25 19:05:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.039 (7.039) Lt: 6.373 (6.377) Accm: 2.11 (2.11) Acct: 3.48 (3.36) proj_loss: -0.5362 (-0.5331) time: 0.3617 data: 0.0018
[11-25 19:05:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:01 (0.361 s / it)
[11-25 19:05:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.022 (7.018) Lt: 6.406 (6.374) Accm: 2.21 (2.13) Acct: 3.19 (3.28) proj_loss: -0.5361 (-0.5399) time: 0.3617 data: 0.0017
[11-25 19:05:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.005 (6.982) Lt: 6.319 (6.303) Accm: 2.16 (2.27) Acct: 3.48 (3.56) proj_loss: -0.5405 (-0.5380) time: 0.3617 data: 0.0021
[11-25 19:05:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.936 (6.954) Lt: 6.295 (6.307) Accm: 2.38 (2.35) Acct: 3.70 (3.57) proj_loss: -0.5379 (-0.5346) time: 0.3617 data: 0.0017
[11-25 19:05:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:01 (0.361 s / it)
[11-25 19:05:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:01 (0.361 s / it)
[11-25 19:05:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:01 (0.361 s / it)
[11-25 19:05:54] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.998 (6.999), Lt: 6.341 (6.345), Acc m&t: 2.23 3.48, Remain: 2 days, 0:47:29, Finish: 2024-11-27 03:53
[11-25 19:05:54] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.998 (6.999), Lt: 6.341 (6.345), Acc m&t: 2.23 3.48, Remain: 2 days, 0:47:21, Finish: 2024-11-27 03:53
[11-25 19:05:54] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.998 (6.999), Lt: 6.341 (6.345), Acc m&t: 2.23 3.48, Remain: 2 days, 0:47:13, Finish: 2024-11-27 03:53
[11-25 19:05:54] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.998 (6.999), Lt: 6.341 (6.345), Acc m&t: 2.23 3.48, Remain: 2 days, 0:47:25, Finish: 2024-11-27 03:53
[11-25 19:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:09:40 tlr: 0.00021 tnm: 0.34 Lm: 7.040 (7.040) Lt: 6.406 (6.406) Accm: 2.01 (2.01) Acct: 3.27 (3.27) proj_loss: -0.5400 (-0.5400) time: 0.3479 data: 0.0004
[11-25 19:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:09:41 tlr: 0.00021 tnm: 0.34 Lm: 7.024 (7.024) Lt: 6.427 (6.427) Accm: 2.40 (2.40) Acct: 3.86 (3.86) proj_loss: -0.5458 (-0.5458) time: 0.3485 data: 0.0004
[11-25 19:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:09:41 tlr: 0.00021 tnm: 0.34 Lm: 6.945 (6.945) Lt: 6.264 (6.264) Accm: 2.53 (2.53) Acct: 3.91 (3.91) proj_loss: -0.5411 (-0.5411) time: 0.3484 data: 0.0004
[11-25 19:05:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:09:32 tlr: 0.00021 tnm: 0.34 Lm: 6.940 (6.940) Lt: 6.302 (6.302) Accm: 2.38 (2.38) Acct: 3.84 (3.84) proj_loss: -0.5370 (-0.5370) time: 0.3429 data: 0.0003
[11-25 19:08:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.34 Lm: 6.991 (6.991) Lt: 6.353 (6.353) Accm: 2.28 (2.28) Acct: 3.54 (3.54) proj_loss: -0.5379 (-0.5379) time: 0.3627 data: 0.0002
[11-25 19:08:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.34 Lm: 6.974 (6.974) Lt: 6.309 (6.309) Accm: 2.46 (2.46) Acct: 3.87 (3.87) proj_loss: -0.5506 (-0.5506) time: 0.3627 data: 0.0002
[11-25 19:08:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.34 Lm: 6.950 (6.950) Lt: 6.340 (6.340) Accm: 2.47 (2.47) Acct: 3.88 (3.88) proj_loss: -0.5544 (-0.5544) time: 0.3627 data: 0.0003
[11-25 19:08:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.34 Lm: 6.939 (6.939) Lt: 6.283 (6.283) Accm: 2.41 (2.41) Acct: 3.78 (3.78) proj_loss: -0.5388 (-0.5388) time: 0.3627 data: 0.0003
[11-25 19:10:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.35 Lm: 6.886 (6.921) Lt: 6.202 (6.256) Accm: 2.57 (2.47) Acct: 4.29 (3.95) proj_loss: -0.5400 (-0.5397) time: 0.3596 data: 0.0003
[11-25 19:10:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.35 Lm: 6.964 (6.971) Lt: 6.278 (6.299) Accm: 2.38 (2.41) Acct: 3.82 (3.82) proj_loss: -0.5484 (-0.5499) time: 0.3596 data: 0.0003
[11-25 19:10:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.35 Lm: 7.006 (6.996) Lt: 6.342 (6.349) Accm: 2.30 (2.28) Acct: 3.84 (3.67) proj_loss: -0.5388 (-0.5423) time: 0.3596 data: 0.0002
[11-25 19:10:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.35 Lm: 7.022 (6.974) Lt: 6.368 (6.349) Accm: 2.40 (2.37) Acct: 3.86 (3.68) proj_loss: -0.5458 (-0.5449) time: 0.3597 data: 0.0003
[11-25 19:13:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.34 Lm: 6.997 (6.974) Lt: 6.318 (6.329) Accm: 2.35 (2.35) Acct: 3.79 (3.69) proj_loss: -0.5359 (-0.5389) time: 0.3608 data: 0.0003
[11-25 19:13:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.34 Lm: 6.958 (6.949) Lt: 6.287 (6.285) Accm: 2.34 (2.38) Acct: 3.78 (3.75) proj_loss: -0.5388 (-0.5383) time: 0.3608 data: 0.0002
[11-25 19:13:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.34 Lm: 6.984 (6.987) Lt: 6.332 (6.342) Accm: 2.30 (2.29) Acct: 3.74 (3.66) proj_loss: -0.5409 (-0.5424) time: 0.3608 data: 0.0002
[11-25 19:13:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.34 Lm: 6.983 (6.988) Lt: 6.316 (6.327) Accm: 2.35 (2.36) Acct: 3.78 (3.71) proj_loss: -0.5448 (-0.5460) time: 0.3608 data: 0.0003
[11-25 19:15:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.003 (7.009) Lt: 6.355 (6.362) Accm: 2.32 (2.29) Acct: 3.74 (3.58) proj_loss: -0.5484 (-0.5488) time: 0.3654 data: 0.0016
[11-25 19:15:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:10:01 (0.361 s / it)
[11-25 19:15:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.006 (7.000) Lt: 6.342 (6.357) Accm: 2.30 (2.31) Acct: 3.75 (3.68) proj_loss: -0.5429 (-0.5441) time: 0.3654 data: 0.0018
[11-25 19:15:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.891 (6.937) Lt: 6.238 (6.276) Accm: 2.40 (2.38) Acct: 3.70 (3.74) proj_loss: -0.5400 (-0.5389) time: 0.3654 data: 0.0018
[11-25 19:15:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.014 (6.982) Lt: 6.365 (6.336) Accm: 2.30 (2.30) Acct: 3.72 (3.63) proj_loss: -0.5458 (-0.5411) time: 0.3654 data: 0.0016
[11-25 19:15:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:10:01 (0.361 s / it)
[11-25 19:15:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:10:01 (0.361 s / it)
[11-25 19:15:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:10:01 (0.361 s / it)
[11-25 19:18:00] (home/user/VAR/trainer.py, line 114)=> FID: 6.391997517371578
[11-25 19:18:00] (/home/user/VAR/train.py , line 259)=> [*] [ep59] (val 50000) Lm: 6.9986, Lt: 6.3413, Acc m&t: 2.24 3.51, Val cost: 123.72s
[11-25 19:18:00] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-25 19:18:15] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.998 (6.999), Lt: 6.341 (6.341), Acc m&t: 2.24 3.51, Remain: 2 days, 1:18:55, Finish: 2024-11-27 04:34
[11-25 19:18:15] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.998 (6.999), Lt: 6.341 (6.341), Acc m&t: 2.24 3.51, Remain: 2 days, 1:18:46, Finish: 2024-11-27 04:34
[11-25 19:18:15] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.998 (6.999), Lt: 6.341 (6.341), Acc m&t: 2.24 3.51, Remain: 2 days, 1:17:56, Finish: 2024-11-27 04:33
[11-25 19:18:15] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.998 (6.999), Lt: 6.341 (6.341), Acc m&t: 2.24 3.51, Remain: 2 days, 1:18:03, Finish: 2024-11-27 04:33
[11-25 19:18:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:09:47 tlr: 0.00021 tnm: 0.34 Lm: 7.160 (7.160) Lt: 6.575 (6.575) Accm: 1.79 (1.79) Acct: 2.98 (2.98) proj_loss: -0.5395 (-0.5395) time: 0.3520 data: 0.0003
[11-25 19:18:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.34 Lm: 7.020 (7.020) Lt: 6.356 (6.356) Accm: 2.25 (2.25) Acct: 3.34 (3.34) proj_loss: -0.5339 (-0.5339) time: 0.3659 data: 0.0003
[11-25 19:18:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:09:47 tlr: 0.00021 tnm: 0.34 Lm: 7.020 (7.020) Lt: 6.339 (6.339) Accm: 2.19 (2.19) Acct: 3.44 (3.44) proj_loss: -0.5413 (-0.5413) time: 0.3517 data: 0.0004
[11-25 19:18:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:09:47 tlr: 0.00021 tnm: 0.34 Lm: 7.128 (7.128) Lt: 6.529 (6.529) Accm: 1.95 (1.95) Acct: 2.82 (2.82) proj_loss: -0.5387 (-0.5387) time: 0.3518 data: 0.0004
[11-25 19:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:38 tlr: 0.00021 tnm: 0.34 Lm: 7.034 (7.034) Lt: 6.418 (6.418) Accm: 2.17 (2.17) Acct: 3.12 (3.12) proj_loss: -0.5421 (-0.5421) time: 0.4500 data: 0.0002
[11-25 19:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:38 tlr: 0.00021 tnm: 0.34 Lm: 7.080 (7.080) Lt: 6.447 (6.447) Accm: 2.07 (2.07) Acct: 3.12 (3.12) proj_loss: -0.5340 (-0.5340) time: 0.4500 data: 0.0002
[11-25 19:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:38 tlr: 0.00021 tnm: 0.34 Lm: 7.081 (7.081) Lt: 6.449 (6.449) Accm: 1.97 (1.97) Acct: 3.34 (3.34) proj_loss: -0.5350 (-0.5350) time: 0.4500 data: 0.0003
[11-25 19:20:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:38 tlr: 0.00021 tnm: 0.34 Lm: 6.973 (6.973) Lt: 6.290 (6.290) Accm: 2.33 (2.33) Acct: 3.62 (3.62) proj_loss: -0.5383 (-0.5383) time: 0.4500 data: 0.0003
[11-25 19:23:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.30 Lm: 6.968 (6.971) Lt: 6.290 (6.290) Accm: 2.27 (2.31) Acct: 3.53 (3.59) proj_loss: -0.5352 (-0.5365) time: 0.3619 data: 0.0003
[11-25 19:23:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.30 Lm: 7.007 (7.056) Lt: 6.341 (6.413) Accm: 2.14 (2.08) Acct: 3.39 (3.36) proj_loss: -0.5395 (-0.5403) time: 0.3619 data: 0.0002
[11-25 19:23:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.30 Lm: 7.120 (7.093) Lt: 6.493 (6.462) Accm: 1.89 (2.01) Acct: 2.93 (3.05) proj_loss: -0.5342 (-0.5438) time: 0.3619 data: 0.0003
[11-25 19:23:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.30 Lm: 7.065 (7.044) Lt: 6.400 (6.412) Accm: 2.17 (2.17) Acct: 3.41 (3.23) proj_loss: -0.5387 (-0.5405) time: 0.3619 data: 0.0003
[11-25 19:26:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.35 Lm: 7.072 (7.053) Lt: 6.401 (6.410) Accm: 2.15 (2.16) Acct: 3.39 (3.27) proj_loss: -0.5421 (-0.5424) time: 0.3647 data: 0.0003
[11-25 19:26:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.35 Lm: 7.005 (7.036) Lt: 6.333 (6.391) Accm: 2.23 (2.16) Acct: 3.52 (3.43) proj_loss: -0.5411 (-0.5409) time: 0.3647 data: 0.0003
[11-25 19:26:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.35 Lm: 7.070 (7.073) Lt: 6.435 (6.441) Accm: 2.07 (2.08) Acct: 3.13 (3.15) proj_loss: -0.5363 (-0.5424) time: 0.3647 data: 0.0002
[11-25 19:26:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.35 Lm: 6.994 (7.012) Lt: 6.314 (6.349) Accm: 2.23 (2.20) Acct: 3.49 (3.39) proj_loss: -0.5383 (-0.5410) time: 0.3647 data: 0.0003
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.007 (7.032) Lt: 6.341 (6.388) Accm: 2.14 (2.16) Acct: 3.39 (3.38) proj_loss: -0.5395 (-0.5388) time: 0.3622 data: 0.0016
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.020 (7.047) Lt: 6.378 (6.407) Accm: 2.25 (2.12) Acct: 3.34 (3.27) proj_loss: -0.5385 (-0.5422) time: 0.3622 data: 0.0014
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.065 (7.043) Lt: 6.400 (6.389) Accm: 2.17 (2.22) Acct: 3.41 (3.38) proj_loss: -0.5455 (-0.5433) time: 0.3622 data: 0.0018
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.991 (7.008) Lt: 6.339 (6.350) Accm: 2.27 (2.22) Acct: 3.51 (3.41) proj_loss: -0.5413 (-0.5418) time: 0.3622 data: 0.0020
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:27 (0.376 s / it)
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:27 (0.376 s / it)
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:27 (0.376 s / it)
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:27 (0.376 s / it)
[11-25 19:28:43] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.998 (7.005), Lt: 6.341 (6.347), Acc m&t: 2.24 3.51, Remain: 2 days, 0:40:09, Finish: 2024-11-27 04:08
[11-25 19:28:43] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.998 (7.005), Lt: 6.341 (6.347), Acc m&t: 2.24 3.51, Remain: 2 days, 0:39:49, Finish: 2024-11-27 04:08
[11-25 19:28:43] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.998 (7.005), Lt: 6.341 (6.347), Acc m&t: 2.24 3.51, Remain: 2 days, 0:39:45, Finish: 2024-11-27 04:08
[11-25 19:28:43] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.998 (7.005), Lt: 6.341 (6.347), Acc m&t: 2.24 3.51, Remain: 2 days, 0:39:53, Finish: 2024-11-27 04:08
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:09:27 tlr: 0.00021 tnm: 0.33 Lm: 6.891 (6.891) Lt: 6.155 (6.155) Accm: 2.50 (2.50) Acct: 4.17 (4.17) proj_loss: -0.5368 (-0.5368) time: 0.3401 data: 0.0004
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:09:28 tlr: 0.00021 tnm: 0.33 Lm: 6.915 (6.915) Lt: 6.256 (6.256) Accm: 2.44 (2.44) Acct: 3.63 (3.63) proj_loss: -0.5516 (-0.5516) time: 0.3407 data: 0.0004
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:10:07 tlr: 0.00021 tnm: 0.33 Lm: 7.171 (7.171) Lt: 6.580 (6.580) Accm: 1.94 (1.94) Acct: 2.98 (2.98) proj_loss: -0.5430 (-0.5430) time: 0.3643 data: 0.0004
[11-25 19:28:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:10:05 tlr: 0.00021 tnm: 0.33 Lm: 6.929 (6.929) Lt: 6.247 (6.247) Accm: 2.17 (2.17) Acct: 3.39 (3.39) proj_loss: -0.5487 (-0.5487) time: 0.3628 data: 0.0004
[11-25 19:31:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.36 Lm: 6.890 (6.890) Lt: 6.188 (6.188) Accm: 2.33 (2.33) Acct: 3.72 (3.72) proj_loss: -0.5373 (-0.5373) time: 0.3585 data: 0.0002
[11-25 19:31:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.36 Lm: 6.995 (6.995) Lt: 6.342 (6.342) Accm: 2.31 (2.31) Acct: 3.57 (3.57) proj_loss: -0.5437 (-0.5437) time: 0.3585 data: 0.0002
[11-25 19:31:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.36 Lm: 6.935 (6.935) Lt: 6.253 (6.253) Accm: 2.38 (2.38) Acct: 3.82 (3.82) proj_loss: -0.5537 (-0.5537) time: 0.3585 data: 0.0002
[11-25 19:31:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.36 Lm: 7.040 (7.040) Lt: 6.386 (6.386) Accm: 2.24 (2.24) Acct: 3.50 (3.50) proj_loss: -0.5364 (-0.5364) time: 0.3585 data: 0.0003
[11-25 19:33:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.31 Lm: 7.050 (7.043) Lt: 6.387 (6.387) Accm: 2.21 (2.23) Acct: 3.36 (3.46) proj_loss: -0.5430 (-0.5407) time: 0.3593 data: 0.0003
[11-25 19:33:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.31 Lm: 6.929 (6.908) Lt: 6.247 (6.228) Accm: 2.22 (2.29) Acct: 3.53 (3.66) proj_loss: -0.5270 (-0.5339) time: 0.3593 data: 0.0003
[11-25 19:33:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.31 Lm: 6.933 (6.974) Lt: 6.256 (6.313) Accm: 2.44 (2.38) Acct: 3.63 (3.65) proj_loss: -0.5511 (-0.5461) time: 0.3593 data: 0.0003
[11-25 19:33:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.31 Lm: 6.973 (6.948) Lt: 6.320 (6.275) Accm: 2.43 (2.40) Acct: 3.87 (3.84) proj_loss: -0.5643 (-0.5572) time: 0.3593 data: 0.0002
[11-25 19:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.33 Lm: 6.952 (6.944) Lt: 6.306 (6.279) Accm: 2.47 (2.43) Acct: 3.90 (3.86) proj_loss: -0.5626 (-0.5582) time: 0.3592 data: 0.0002
[11-25 19:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.33 Lm: 6.944 (6.970) Lt: 6.299 (6.320) Accm: 2.37 (2.36) Acct: 3.60 (3.63) proj_loss: -0.5514 (-0.5494) time: 0.3592 data: 0.0002
[11-25 19:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.33 Lm: 7.048 (7.044) Lt: 6.382 (6.384) Accm: 2.21 (2.22) Acct: 3.57 (3.54) proj_loss: -0.5461 (-0.5444) time: 0.3592 data: 0.0003
[11-25 19:36:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.33 Lm: 6.937 (6.928) Lt: 6.267 (6.242) Accm: 2.21 (2.27) Acct: 3.53 (3.62) proj_loss: -0.5378 (-0.5392) time: 0.3592 data: 0.0003
[11-25 19:38:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.945 (6.945) Lt: 6.286 (6.259) Accm: 2.22 (2.28) Acct: 3.53 (3.65) proj_loss: -0.5333 (-0.5380) time: 0.3603 data: 0.0022
[11-25 19:38:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:01 (0.360 s / it)
[11-25 19:38:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.933 (6.960) Lt: 6.280 (6.312) Accm: 2.44 (2.38) Acct: 3.63 (3.70) proj_loss: -0.5511 (-0.5477) time: 0.3603 data: 0.0018
[11-25 19:38:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.968 (6.948) Lt: 6.320 (6.294) Accm: 2.43 (2.36) Acct: 3.87 (3.75) proj_loss: -0.5610 (-0.5569) time: 0.3603 data: 0.0014
[11-25 19:38:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 7.048 (7.045) Lt: 6.377 (6.377) Accm: 2.21 (2.22) Acct: 3.65 (3.56) proj_loss: -0.5456 (-0.5446) time: 0.3603 data: 0.0021
[11-25 19:38:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:01 (0.360 s / it)
[11-25 19:38:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:01 (0.360 s / it)
[11-25 19:38:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:01 (0.360 s / it)
[11-25 19:38:44] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.990 (6.990), Lt: 6.334 (6.334), Acc m&t: 2.24 3.51, Remain: 2 days, 0:15:17, Finish: 2024-11-27 03:54
[11-25 19:38:44] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.990 (6.990), Lt: 6.334 (6.334), Acc m&t: 2.24 3.51, Remain: 2 days, 0:14:57, Finish: 2024-11-27 03:53
[11-25 19:38:44] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.990 (6.990), Lt: 6.334 (6.334), Acc m&t: 2.24 3.51, Remain: 2 days, 0:14:41, Finish: 2024-11-27 03:53
[11-25 19:38:44] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.990 (6.990), Lt: 6.334 (6.334), Acc m&t: 2.24 3.51, Remain: 2 days, 0:15:04, Finish: 2024-11-27 03:53
[11-25 19:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:10:01 tlr: 0.00021 tnm: 0.35 Lm: 7.036 (7.036) Lt: 6.383 (6.383) Accm: 1.92 (1.92) Acct: 3.00 (3.00) proj_loss: -0.5663 (-0.5663) time: 0.3603 data: 0.0003
[11-25 19:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:09:38 tlr: 0.00021 tnm: 0.35 Lm: 7.136 (7.136) Lt: 6.535 (6.535) Accm: 1.78 (1.78) Acct: 2.63 (2.63) proj_loss: -0.5595 (-0.5595) time: 0.3465 data: 0.0004
[11-25 19:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:09:39 tlr: 0.00021 tnm: 0.35 Lm: 7.058 (7.058) Lt: 6.394 (6.394) Accm: 1.86 (1.86) Acct: 2.74 (2.74) proj_loss: -0.5394 (-0.5394) time: 0.3470 data: 0.0004
[11-25 19:38:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:09:40 tlr: 0.00021 tnm: 0.35 Lm: 6.954 (6.954) Lt: 6.317 (6.317) Accm: 2.38 (2.38) Acct: 3.56 (3.56) proj_loss: -0.5664 (-0.5664) time: 0.3478 data: 0.0004
[11-25 19:41:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.31 Lm: 6.946 (6.946) Lt: 6.286 (6.286) Accm: 2.34 (2.34) Acct: 3.60 (3.60) proj_loss: -0.5494 (-0.5494) time: 0.3615 data: 0.0003
[11-25 19:41:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.31 Lm: 6.942 (6.942) Lt: 6.289 (6.289) Accm: 2.31 (2.31) Acct: 3.47 (3.47) proj_loss: -0.5624 (-0.5624) time: 0.3615 data: 0.0002
[11-25 19:41:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.31 Lm: 7.114 (7.114) Lt: 6.468 (6.468) Accm: 1.95 (1.95) Acct: 2.94 (2.94) proj_loss: -0.5445 (-0.5445) time: 0.3615 data: 0.0002
[11-25 19:41:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.31 Lm: 7.032 (7.032) Lt: 6.337 (6.337) Accm: 1.99 (1.99) Acct: 3.09 (3.09) proj_loss: -0.5515 (-0.5515) time: 0.3616 data: 0.0003
[11-25 19:43:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.32 Lm: 7.007 (7.007) Lt: 6.280 (6.318) Accm: 2.11 (2.06) Acct: 3.44 (3.22) proj_loss: -0.5452 (-0.5494) time: 0.3599 data: 0.0002
[11-25 19:43:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.32 Lm: 7.092 (7.023) Lt: 6.401 (6.374) Accm: 2.13 (2.16) Acct: 3.24 (3.24) proj_loss: -0.5498 (-0.5463) time: 0.3599 data: 0.0003
[11-25 19:43:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.32 Lm: 7.036 (6.997) Lt: 6.383 (6.361) Accm: 1.92 (2.17) Acct: 3.00 (3.28) proj_loss: -0.5584 (-0.5584) time: 0.3599 data: 0.0003
[11-25 19:43:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.32 Lm: 6.954 (6.967) Lt: 6.317 (6.316) Accm: 2.29 (2.24) Acct: 3.56 (3.42) proj_loss: -0.5563 (-0.5517) time: 0.3599 data: 0.0003
[11-25 19:46:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.36 Lm: 6.975 (6.974) Lt: 6.346 (6.333) Accm: 2.31 (2.26) Acct: 3.58 (3.47) proj_loss: -0.5556 (-0.5525) time: 0.3620 data: 0.0003
[11-25 19:46:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.36 Lm: 6.984 (6.981) Lt: 6.314 (6.332) Accm: 2.17 (2.23) Acct: 3.37 (3.40) proj_loss: -0.5544 (-0.5491) time: 0.3620 data: 0.0003
[11-25 19:46:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.36 Lm: 7.026 (7.007) Lt: 6.362 (6.361) Accm: 2.23 (2.20) Acct: 3.46 (3.35) proj_loss: -0.5543 (-0.5494) time: 0.3620 data: 0.0003
[11-25 19:46:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.36 Lm: 7.022 (7.015) Lt: 6.334 (6.336) Accm: 2.11 (2.07) Acct: 3.39 (3.25) proj_loss: -0.5473 (-0.5494) time: 0.3620 data: 0.0003
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 7.036 (7.022) Lt: 6.389 (6.346) Accm: 2.10 (2.05) Acct: 3.34 (3.20) proj_loss: -0.5452 (-0.5455) time: 0.3624 data: 0.0019
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:10:01 (0.360 s / it)
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 7.013 (6.987) Lt: 6.381 (6.342) Accm: 1.92 (2.15) Acct: 3.00 (3.27) proj_loss: -0.5504 (-0.5474) time: 0.3624 data: 0.0016
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.960 (6.985) Lt: 6.338 (6.356) Accm: 2.33 (2.25) Acct: 3.68 (3.43) proj_loss: -0.5588 (-0.5558) time: 0.3624 data: 0.0019
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.996 (6.992) Lt: 6.375 (6.356) Accm: 2.29 (2.19) Acct: 3.56 (3.35) proj_loss: -0.5549 (-0.5467) time: 0.3624 data: 0.0019
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:10:01 (0.360 s / it)
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:10:01 (0.360 s / it)
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:10:01 (0.360 s / it)
[11-25 19:48:46] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.990 (6.996), Lt: 6.334 (6.336), Acc m&t: 2.24 3.51, Remain: 2 days, 0:20:42, Finish: 2024-11-27 04:09
[11-25 19:48:46] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.990 (6.996), Lt: 6.334 (6.336), Acc m&t: 2.24 3.51, Remain: 2 days, 0:21:15, Finish: 2024-11-27 04:10
[11-25 19:48:46] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.990 (6.996), Lt: 6.334 (6.336), Acc m&t: 2.24 3.51, Remain: 2 days, 0:21:47, Finish: 2024-11-27 04:10
[11-25 19:48:46] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.990 (6.996), Lt: 6.334 (6.336), Acc m&t: 2.24 3.51, Remain: 2 days, 0:20:28, Finish: 2024-11-27 04:09
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:09:55 tlr: 0.00021 tnm: 0.38 Lm: 7.042 (7.042) Lt: 6.443 (6.443) Accm: 2.03 (2.03) Acct: 3.19 (3.19) proj_loss: -0.5658 (-0.5658) time: 0.3571 data: 0.0003
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:09:55 tlr: 0.00021 tnm: 0.38 Lm: 6.905 (6.905) Lt: 6.210 (6.210) Accm: 2.51 (2.51) Acct: 4.10 (4.10) proj_loss: -0.5401 (-0.5401) time: 0.3567 data: 0.0004
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:09:57 tlr: 0.00021 tnm: 0.38 Lm: 7.075 (7.075) Lt: 6.423 (6.423) Accm: 2.21 (2.21) Acct: 3.51 (3.51) proj_loss: -0.5519 (-0.5519) time: 0.3577 data: 0.0003
[11-25 19:48:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:09:57 tlr: 0.00021 tnm: 0.38 Lm: 6.827 (6.827) Lt: 6.140 (6.140) Accm: 2.61 (2.61) Acct: 4.06 (4.06) proj_loss: -0.5639 (-0.5639) time: 0.3579 data: 0.0003
[11-25 19:51:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:08:11 tlr: 0.00021 tnm: 0.33 Lm: 6.900 (6.900) Lt: 6.227 (6.227) Accm: 2.51 (2.51) Acct: 3.74 (3.74) proj_loss: -0.5515 (-0.5515) time: 0.4090 data: 0.0003
[11-25 19:51:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:08:11 tlr: 0.00021 tnm: 0.33 Lm: 6.944 (6.944) Lt: 6.309 (6.309) Accm: 2.24 (2.24) Acct: 3.52 (3.52) proj_loss: -0.5514 (-0.5514) time: 0.4090 data: 0.0002
[11-25 19:51:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:08:11 tlr: 0.00021 tnm: 0.33 Lm: 7.082 (7.082) Lt: 6.431 (6.431) Accm: 2.07 (2.07) Acct: 3.37 (3.37) proj_loss: -0.5493 (-0.5493) time: 0.4090 data: 0.0003
[11-25 19:51:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:08:11 tlr: 0.00021 tnm: 0.33 Lm: 6.941 (6.941) Lt: 6.270 (6.270) Accm: 2.39 (2.39) Acct: 3.70 (3.70) proj_loss: -0.5392 (-0.5392) time: 0.4090 data: 0.0003
[11-25 19:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:27 tlr: 0.00021 tnm: 0.34 Lm: 6.977 (6.970) Lt: 6.329 (6.299) Accm: 2.27 (2.34) Acct: 3.44 (3.62) proj_loss: -0.5401 (-0.5404) time: 0.3610 data: 0.0003
[11-25 19:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:27 tlr: 0.00021 tnm: 0.34 Lm: 6.998 (6.962) Lt: 6.324 (6.314) Accm: 2.21 (2.23) Acct: 3.50 (3.51) proj_loss: -0.5570 (-0.5532) time: 0.3610 data: 0.0002
[11-25 19:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:27 tlr: 0.00021 tnm: 0.34 Lm: 7.075 (7.029) Lt: 6.423 (6.358) Accm: 2.21 (2.15) Acct: 3.51 (3.50) proj_loss: -0.5466 (-0.5472) time: 0.3610 data: 0.0003
[11-25 19:54:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:27 tlr: 0.00021 tnm: 0.34 Lm: 6.974 (6.928) Lt: 6.314 (6.258) Accm: 2.42 (2.39) Acct: 3.43 (3.60) proj_loss: -0.5391 (-0.5471) time: 0.3610 data: 0.0003
[11-25 19:56:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.978 (6.962) Lt: 6.317 (6.307) Accm: 2.29 (2.29) Acct: 3.37 (3.50) proj_loss: -0.5439 (-0.5475) time: 0.3620 data: 0.0003
[11-25 19:56:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.976 (6.960) Lt: 6.297 (6.303) Accm: 2.31 (2.27) Acct: 3.68 (3.62) proj_loss: -0.5536 (-0.5525) time: 0.3620 data: 0.0002
[11-25 19:56:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 7.046 (7.026) Lt: 6.402 (6.364) Accm: 2.19 (2.15) Acct: 3.43 (3.46) proj_loss: -0.5493 (-0.5494) time: 0.3620 data: 0.0002
[11-25 19:56:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.994 (6.980) Lt: 6.338 (6.311) Accm: 2.25 (2.29) Acct: 3.50 (3.60) proj_loss: -0.5414 (-0.5417) time: 0.3620 data: 0.0002
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 7.004 (6.985) Lt: 6.330 (6.314) Accm: 2.24 (2.25) Acct: 3.44 (3.52) proj_loss: -0.5428 (-0.5447) time: 0.3613 data: 0.0018
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:28 (0.377 s / it)
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.974 (6.958) Lt: 6.314 (6.307) Accm: 2.40 (2.31) Acct: 3.43 (3.52) proj_loss: -0.5486 (-0.5478) time: 0.3613 data: 0.0019
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 7.016 (7.013) Lt: 6.381 (6.355) Accm: 2.16 (2.14) Acct: 3.36 (3.38) proj_loss: -0.5519 (-0.5514) time: 0.3613 data: 0.0018
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.998 (6.988) Lt: 6.324 (6.338) Accm: 2.21 (2.23) Acct: 3.50 (3.58) proj_loss: -0.5530 (-0.5526) time: 0.3613 data: 0.0022
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:28 (0.377 s / it)
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:28 (0.377 s / it)
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:28 (0.377 s / it)
[11-25 19:59:15] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.990 (6.996), Lt: 6.334 (6.338), Acc m&t: 2.24 3.51, Remain: 2 days, 0:12:09, Finish: 2024-11-27 04:11
[11-25 19:59:15] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.990 (6.996), Lt: 6.334 (6.338), Acc m&t: 2.24 3.51, Remain: 2 days, 0:12:43, Finish: 2024-11-27 04:11
[11-25 19:59:15] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.990 (6.996), Lt: 6.334 (6.338), Acc m&t: 2.24 3.51, Remain: 2 days, 0:13:08, Finish: 2024-11-27 04:12
[11-25 19:59:15] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.990 (6.996), Lt: 6.334 (6.338), Acc m&t: 2.24 3.51, Remain: 2 days, 0:12:32, Finish: 2024-11-27 04:11
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:09:50 tlr: 0.00021 tnm: 0.33 Lm: 7.116 (7.116) Lt: 6.421 (6.421) Accm: 2.09 (2.09) Acct: 3.41 (3.41) proj_loss: -0.5178 (-0.5178) time: 0.3536 data: 0.0003
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:09:40 tlr: 0.00021 tnm: 0.33 Lm: 6.862 (6.862) Lt: 6.191 (6.191) Accm: 2.44 (2.44) Acct: 3.87 (3.87) proj_loss: -0.5499 (-0.5499) time: 0.3481 data: 0.0003
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:09:49 tlr: 0.00021 tnm: 0.33 Lm: 7.022 (7.022) Lt: 6.325 (6.325) Accm: 2.43 (2.43) Acct: 3.84 (3.84) proj_loss: -0.5308 (-0.5308) time: 0.3532 data: 0.0004
[11-25 19:59:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:09:48 tlr: 0.00021 tnm: 0.33 Lm: 6.777 (6.777) Lt: 6.088 (6.088) Accm: 2.86 (2.86) Acct: 4.73 (4.73) proj_loss: -0.5330 (-0.5330) time: 0.3526 data: 0.0004
[11-25 20:01:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.33 Lm: 6.925 (6.925) Lt: 6.239 (6.239) Accm: 2.50 (2.50) Acct: 4.03 (4.03) proj_loss: -0.5365 (-0.5365) time: 0.3601 data: 0.0003
[11-25 20:01:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.33 Lm: 6.873 (6.873) Lt: 6.212 (6.212) Accm: 2.45 (2.45) Acct: 3.89 (3.89) proj_loss: -0.5465 (-0.5465) time: 0.3601 data: 0.0002
[11-25 20:01:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.33 Lm: 7.037 (7.037) Lt: 6.369 (6.369) Accm: 2.23 (2.23) Acct: 3.67 (3.67) proj_loss: -0.5386 (-0.5386) time: 0.3601 data: 0.0003
[11-25 20:01:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.33 Lm: 7.042 (7.042) Lt: 6.348 (6.348) Accm: 2.29 (2.29) Acct: 3.74 (3.74) proj_loss: -0.5187 (-0.5187) time: 0.3601 data: 0.0003
[11-25 20:04:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.34 Lm: 6.973 (7.019) Lt: 6.357 (6.351) Accm: 2.24 (2.27) Acct: 3.48 (3.66) proj_loss: -0.5196 (-0.5311) time: 0.3622 data: 0.0002
[11-25 20:04:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.34 Lm: 7.022 (7.017) Lt: 6.325 (6.347) Accm: 2.43 (2.35) Acct: 3.84 (3.78) proj_loss: -0.5308 (-0.5339) time: 0.3622 data: 0.0002
[11-25 20:04:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.34 Lm: 6.884 (6.925) Lt: 6.233 (6.273) Accm: 2.44 (2.27) Acct: 3.87 (3.56) proj_loss: -0.5499 (-0.5498) time: 0.3622 data: 0.0002
[11-25 20:04:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.34 Lm: 6.980 (6.943) Lt: 6.382 (6.287) Accm: 2.17 (2.39) Acct: 3.32 (3.71) proj_loss: -0.5330 (-0.5334) time: 0.3622 data: 0.0003
[11-25 20:06:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.36 Lm: 7.027 (6.983) Lt: 6.386 (6.333) Accm: 2.16 (2.29) Acct: 3.20 (3.55) proj_loss: -0.5365 (-0.5380) time: 0.3615 data: 0.0003
[11-25 20:06:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.36 Lm: 6.956 (6.972) Lt: 6.313 (6.309) Accm: 2.21 (2.20) Acct: 3.41 (3.40) proj_loss: -0.5495 (-0.5496) time: 0.3615 data: 0.0002
[11-25 20:06:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.36 Lm: 6.999 (6.983) Lt: 6.313 (6.306) Accm: 2.45 (2.38) Acct: 3.90 (3.83) proj_loss: -0.5351 (-0.5353) time: 0.3615 data: 0.0002
[11-25 20:06:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.36 Lm: 7.024 (7.033) Lt: 6.389 (6.378) Accm: 2.17 (2.21) Acct: 3.44 (3.54) proj_loss: -0.5377 (-0.5402) time: 0.3615 data: 0.0002
[11-25 20:09:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 7.046 (7.035) Lt: 6.357 (6.373) Accm: 2.09 (2.18) Acct: 3.41 (3.51) proj_loss: -0.5519 (-0.5425) time: 0.3632 data: 0.0016
[11-25 20:09:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:02 (0.361 s / it)
[11-25 20:09:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 7.004 (6.987) Lt: 6.325 (6.316) Accm: 2.43 (2.34) Acct: 3.84 (3.76) proj_loss: -0.5393 (-0.5408) time: 0.3632 data: 0.0016
[11-25 20:09:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 7.003 (6.978) Lt: 6.324 (6.312) Accm: 2.20 (2.20) Acct: 3.51 (3.43) proj_loss: -0.5491 (-0.5463) time: 0.3632 data: 0.0014
[11-25 20:09:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.998 (6.986) Lt: 6.382 (6.326) Accm: 2.17 (2.29) Acct: 3.32 (3.60) proj_loss: -0.5330 (-0.5313) time: 0.3632 data: 0.0018
[11-25 20:09:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:02 (0.361 s / it)
[11-25 20:09:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:02 (0.361 s / it)
[11-25 20:09:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:02 (0.361 s / it)
[11-25 20:09:17] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.990 (6.993), Lt: 6.331 (6.331), Acc m&t: 2.24 3.51, Remain: 2 days, 0:11:10, Finish: 2024-11-27 04:20
[11-25 20:09:17] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.990 (6.993), Lt: 6.331 (6.331), Acc m&t: 2.24 3.51, Remain: 2 days, 0:10:10, Finish: 2024-11-27 04:19
[11-25 20:09:17] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.990 (6.993), Lt: 6.331 (6.331), Acc m&t: 2.24 3.51, Remain: 2 days, 0:11:03, Finish: 2024-11-27 04:20
[11-25 20:09:17] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.990 (6.993), Lt: 6.331 (6.331), Acc m&t: 2.24 3.51, Remain: 2 days, 0:10:31, Finish: 2024-11-27 04:19
[11-25 20:09:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:09:45 tlr: 0.00021 tnm: 0.34 Lm: 7.020 (7.020) Lt: 6.345 (6.345) Accm: 2.21 (2.21) Acct: 3.70 (3.70) proj_loss: -0.5542 (-0.5542) time: 0.3508 data: 0.0003
[11-25 20:09:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:09:46 tlr: 0.00021 tnm: 0.34 Lm: 6.814 (6.814) Lt: 6.107 (6.107) Accm: 2.79 (2.79) Acct: 4.58 (4.58) proj_loss: -0.5414 (-0.5414) time: 0.3514 data: 0.0003
[11-25 20:09:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:09:40 tlr: 0.00021 tnm: 0.34 Lm: 6.959 (6.959) Lt: 6.229 (6.229) Accm: 2.22 (2.22) Acct: 3.34 (3.34) proj_loss: -0.5530 (-0.5530) time: 0.3477 data: 0.0004
[11-25 20:09:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:09:49 tlr: 0.00021 tnm: 0.34 Lm: 6.942 (6.942) Lt: 6.297 (6.297) Accm: 2.45 (2.45) Acct: 3.82 (3.82) proj_loss: -0.5401 (-0.5401) time: 0.3532 data: 0.0003
[11-25 20:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.34 Lm: 6.859 (6.859) Lt: 6.193 (6.193) Accm: 2.60 (2.60) Acct: 4.03 (4.03) proj_loss: -0.5492 (-0.5492) time: 0.3611 data: 0.0003
[11-25 20:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.34 Lm: 6.906 (6.906) Lt: 6.226 (6.226) Accm: 2.51 (2.51) Acct: 4.00 (4.00) proj_loss: -0.5401 (-0.5401) time: 0.3611 data: 0.0003
[11-25 20:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.34 Lm: 6.902 (6.902) Lt: 6.214 (6.214) Accm: 2.56 (2.56) Acct: 4.05 (4.05) proj_loss: -0.5490 (-0.5490) time: 0.3611 data: 0.0002
[11-25 20:11:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.34 Lm: 7.005 (7.005) Lt: 6.320 (6.320) Accm: 2.16 (2.16) Acct: 3.30 (3.30) proj_loss: -0.5501 (-0.5501) time: 0.3611 data: 0.0002
[11-25 20:14:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 6.961 (6.990) Lt: 6.255 (6.298) Accm: 2.22 (2.24) Acct: 3.34 (3.52) proj_loss: -0.5472 (-0.5427) time: 0.3607 data: 0.0003
[11-25 20:14:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 6.942 (6.892) Lt: 6.284 (6.223) Accm: 2.45 (2.50) Acct: 3.82 (3.88) proj_loss: -0.5582 (-0.5524) time: 0.3607 data: 0.0003
[11-25 20:14:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 6.830 (6.880) Lt: 6.121 (6.191) Accm: 2.60 (2.54) Acct: 3.89 (3.97) proj_loss: -0.5391 (-0.5397) time: 0.3607 data: 0.0004
[11-25 20:14:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 6.939 (6.915) Lt: 6.291 (6.240) Accm: 2.24 (2.45) Acct: 3.70 (3.84) proj_loss: -0.5542 (-0.5515) time: 0.3607 data: 0.0003
[11-25 20:16:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.31 Lm: 6.924 (6.913) Lt: 6.275 (6.245) Accm: 2.25 (2.41) Acct: 3.56 (3.62) proj_loss: -0.5490 (-0.5495) time: 0.3613 data: 0.0003
[11-25 20:16:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.31 Lm: 6.950 (6.939) Lt: 6.290 (6.269) Accm: 2.39 (2.43) Acct: 3.72 (3.81) proj_loss: -0.5525 (-0.5510) time: 0.3613 data: 0.0003
[11-25 20:16:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.31 Lm: 6.960 (6.958) Lt: 6.242 (6.268) Accm: 2.31 (2.37) Acct: 3.65 (3.70) proj_loss: -0.5501 (-0.5459) time: 0.3613 data: 0.0003
[11-25 20:16:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.31 Lm: 6.913 (6.920) Lt: 6.233 (6.240) Accm: 2.41 (2.42) Acct: 3.66 (3.82) proj_loss: -0.5402 (-0.5444) time: 0.3613 data: 0.0002
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.900 (6.916) Lt: 6.215 (6.235) Accm: 2.60 (2.48) Acct: 3.89 (3.86) proj_loss: -0.5391 (-0.5432) time: 0.4427 data: 0.0018
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:10:03 (0.361 s / it)
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.909 (6.904) Lt: 6.259 (6.233) Accm: 2.27 (2.40) Acct: 3.63 (3.63) proj_loss: -0.5438 (-0.5469) time: 0.4427 data: 0.0015
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.957 (6.955) Lt: 6.297 (6.275) Accm: 2.32 (2.35) Acct: 3.62 (3.73) proj_loss: -0.5469 (-0.5471) time: 0.4427 data: 0.0016
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.961 (6.984) Lt: 6.255 (6.301) Accm: 2.22 (2.32) Acct: 3.34 (3.61) proj_loss: -0.5472 (-0.5442) time: 0.4427 data: 0.0015
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:10:03 (0.361 s / it)
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:10:03 (0.362 s / it)
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:10:03 (0.361 s / it)
[11-25 20:19:21] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.983 (6.983), Lt: 6.314 (6.314), Acc m&t: 2.24 3.51, Remain: 2 days, 0:06:42, Finish: 2024-11-27 04:26
[11-25 20:19:21] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.983 (6.983), Lt: 6.314 (6.314), Acc m&t: 2.24 3.51, Remain: 2 days, 0:05:58, Finish: 2024-11-27 04:25
[11-25 20:19:21] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.983 (6.983), Lt: 6.314 (6.314), Acc m&t: 2.24 3.51, Remain: 2 days, 0:06:00, Finish: 2024-11-27 04:25
[11-25 20:19:21] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.983 (6.983), Lt: 6.314 (6.314), Acc m&t: 2.24 3.51, Remain: 2 days, 0:06:28, Finish: 2024-11-27 04:25
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:09:37 tlr: 0.00021 tnm: 0.33 Lm: 6.895 (6.895) Lt: 6.216 (6.216) Accm: 2.55 (2.55) Acct: 3.81 (3.81) proj_loss: -0.5484 (-0.5484) time: 0.3462 data: 0.0004
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:09:38 tlr: 0.00021 tnm: 0.33 Lm: 7.034 (7.034) Lt: 6.354 (6.354) Accm: 2.01 (2.01) Acct: 3.22 (3.22) proj_loss: -0.5577 (-0.5577) time: 0.3468 data: 0.0004
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:09:37 tlr: 0.00021 tnm: 0.33 Lm: 7.039 (7.039) Lt: 6.376 (6.376) Accm: 2.11 (2.11) Acct: 3.50 (3.50) proj_loss: -0.5354 (-0.5354) time: 0.3458 data: 0.0003
[11-25 20:19:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:10:02 tlr: 0.00021 tnm: 0.33 Lm: 7.070 (7.070) Lt: 6.450 (6.450) Accm: 1.89 (1.89) Acct: 3.06 (3.06) proj_loss: -0.5582 (-0.5582) time: 0.3611 data: 0.0003
[11-25 20:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:08:28 tlr: 0.00021 tnm: 0.33 Lm: 7.017 (7.017) Lt: 6.378 (6.378) Accm: 2.07 (2.07) Acct: 3.26 (3.26) proj_loss: -0.5534 (-0.5534) time: 0.4051 data: 0.0003
[11-25 20:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:08:28 tlr: 0.00021 tnm: 0.33 Lm: 6.892 (6.892) Lt: 6.193 (6.193) Accm: 2.47 (2.47) Acct: 3.86 (3.86) proj_loss: -0.5493 (-0.5493) time: 0.4052 data: 0.0002
[11-25 20:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:08:28 tlr: 0.00021 tnm: 0.33 Lm: 6.997 (6.997) Lt: 6.333 (6.333) Accm: 2.20 (2.20) Acct: 3.69 (3.69) proj_loss: -0.5404 (-0.5404) time: 0.4052 data: 0.0002
[11-25 20:22:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:08:28 tlr: 0.00021 tnm: 0.33 Lm: 7.003 (7.003) Lt: 6.350 (6.350) Accm: 2.09 (2.09) Acct: 3.23 (3.23) proj_loss: -0.5551 (-0.5551) time: 0.4052 data: 0.0003
[11-25 20:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:22 tlr: 0.00021 tnm: 0.33 Lm: 7.024 (7.010) Lt: 6.353 (6.351) Accm: 2.16 (2.15) Acct: 3.24 (3.33) proj_loss: -0.5577 (-0.5566) time: 0.3593 data: 0.0003
[11-25 20:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:22 tlr: 0.00021 tnm: 0.33 Lm: 6.895 (6.982) Lt: 6.216 (6.297) Accm: 2.38 (2.23) Acct: 3.81 (3.46) proj_loss: -0.5484 (-0.5480) time: 0.3593 data: 0.0002
[11-25 20:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:22 tlr: 0.00021 tnm: 0.33 Lm: 6.964 (6.993) Lt: 6.306 (6.338) Accm: 2.26 (2.19) Acct: 3.46 (3.50) proj_loss: -0.5485 (-0.5481) time: 0.3593 data: 0.0003
[11-25 20:24:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:22 tlr: 0.00021 tnm: 0.33 Lm: 7.039 (7.060) Lt: 6.376 (6.389) Accm: 2.11 (2.10) Acct: 3.50 (3.52) proj_loss: -0.5366 (-0.5391) time: 0.3594 data: 0.0002
[11-25 20:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:37 tlr: 0.00021 tnm: 0.34 Lm: 6.997 (7.014) Lt: 6.333 (6.345) Accm: 2.20 (2.19) Acct: 3.69 (3.62) proj_loss: -0.5410 (-0.5410) time: 0.3614 data: 0.0002
[11-25 20:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:37 tlr: 0.00021 tnm: 0.34 Lm: 6.938 (6.981) Lt: 6.254 (6.296) Accm: 2.43 (2.29) Acct: 3.79 (3.54) proj_loss: -0.5488 (-0.5482) time: 0.3614 data: 0.0003
[11-25 20:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:37 tlr: 0.00021 tnm: 0.34 Lm: 6.955 (6.979) Lt: 6.294 (6.324) Accm: 2.28 (2.22) Acct: 3.50 (3.51) proj_loss: -0.5461 (-0.5470) time: 0.3614 data: 0.0003
[11-25 20:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:37 tlr: 0.00021 tnm: 0.34 Lm: 7.029 (7.045) Lt: 6.353 (6.404) Accm: 2.09 (2.05) Acct: 3.23 (3.16) proj_loss: -0.5551 (-0.5529) time: 0.3614 data: 0.0003
[11-25 20:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.024 (7.034) Lt: 6.354 (6.396) Accm: 2.16 (2.08) Acct: 3.24 (3.22) proj_loss: -0.5577 (-0.5559) time: 0.3595 data: 0.0022
[11-25 20:29:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:23 (0.374 s / it)
[11-25 20:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.980 (6.989) Lt: 6.293 (6.316) Accm: 2.38 (2.23) Acct: 3.77 (3.44) proj_loss: -0.5491 (-0.5513) time: 0.3595 data: 0.0020
[11-25 20:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.955 (6.983) Lt: 6.289 (6.303) Accm: 2.29 (2.28) Acct: 3.89 (3.71) proj_loss: -0.5366 (-0.5364) time: 0.3595 data: 0.0021
[11-25 20:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.964 (6.979) Lt: 6.306 (6.322) Accm: 2.26 (2.21) Acct: 3.46 (3.50) proj_loss: -0.5485 (-0.5515) time: 0.3595 data: 0.0016
[11-25 20:29:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:23 (0.374 s / it)
[11-25 20:29:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:23 (0.374 s / it)
[11-25 20:29:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:23 (0.374 s / it)
[11-25 20:29:44] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.983 (6.984), Lt: 6.314 (6.316), Acc m&t: 2.24 3.51, Remain: 1 day, 23:21:40, Finish: 2024-11-27 03:51
[11-25 20:29:44] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.983 (6.984), Lt: 6.314 (6.316), Acc m&t: 2.24 3.51, Remain: 1 day, 23:23:32, Finish: 2024-11-27 03:53
[11-25 20:29:44] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.983 (6.984), Lt: 6.314 (6.316), Acc m&t: 2.24 3.51, Remain: 1 day, 23:21:24, Finish: 2024-11-27 03:51
[11-25 20:29:44] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.983 (6.984), Lt: 6.314 (6.316), Acc m&t: 2.24 3.51, Remain: 1 day, 23:22:43, Finish: 2024-11-27 03:52
[11-25 20:29:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:09:30 tlr: 0.00021 tnm: 0.32 Lm: 7.035 (7.035) Lt: 6.380 (6.380) Accm: 2.15 (2.15) Acct: 3.20 (3.20) proj_loss: -0.5481 (-0.5481) time: 0.3418 data: 0.0003
[11-25 20:29:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:09:31 tlr: 0.00021 tnm: 0.32 Lm: 6.962 (6.962) Lt: 6.262 (6.262) Accm: 2.26 (2.26) Acct: 3.75 (3.75) proj_loss: -0.5648 (-0.5648) time: 0.3424 data: 0.0004
[11-25 20:29:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:09:32 tlr: 0.00021 tnm: 0.32 Lm: 6.993 (6.993) Lt: 6.323 (6.323) Accm: 2.37 (2.37) Acct: 3.70 (3.70) proj_loss: -0.5256 (-0.5256) time: 0.3431 data: 0.0003
[11-25 20:29:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:09:32 tlr: 0.00021 tnm: 0.32 Lm: 6.929 (6.929) Lt: 6.217 (6.217) Accm: 2.26 (2.26) Acct: 3.27 (3.27) proj_loss: -0.5614 (-0.5614) time: 0.3430 data: 0.0003
[11-25 20:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.33 Lm: 6.950 (6.950) Lt: 6.256 (6.256) Accm: 2.33 (2.33) Acct: 3.52 (3.52) proj_loss: -0.5577 (-0.5577) time: 0.3590 data: 0.0003
[11-25 20:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.33 Lm: 7.062 (7.062) Lt: 6.443 (6.443) Accm: 2.11 (2.11) Acct: 3.14 (3.14) proj_loss: -0.5536 (-0.5536) time: 0.3590 data: 0.0002
[11-25 20:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.33 Lm: 6.968 (6.968) Lt: 6.256 (6.256) Accm: 2.26 (2.26) Acct: 3.88 (3.88) proj_loss: -0.5515 (-0.5515) time: 0.3590 data: 0.0003
[11-25 20:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:07:31 tlr: 0.00021 tnm: 0.33 Lm: 7.000 (7.000) Lt: 6.351 (6.351) Accm: 2.29 (2.29) Acct: 3.48 (3.48) proj_loss: -0.5336 (-0.5336) time: 0.3590 data: 0.0003
[11-25 20:34:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.35 Lm: 6.993 (6.935) Lt: 6.323 (6.286) Accm: 2.37 (2.41) Acct: 3.70 (3.62) proj_loss: -0.5417 (-0.5395) time: 0.3572 data: 0.0003
[11-25 20:34:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.35 Lm: 7.035 (7.039) Lt: 6.380 (6.406) Accm: 2.15 (2.14) Acct: 3.20 (3.33) proj_loss: -0.5481 (-0.5485) time: 0.3572 data: 0.0002
[11-25 20:34:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.35 Lm: 6.964 (6.967) Lt: 6.258 (6.257) Accm: 2.26 (2.28) Acct: 3.75 (3.78) proj_loss: -0.5546 (-0.5525) time: 0.3572 data: 0.0002
[11-25 20:34:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.35 Lm: 6.929 (6.933) Lt: 6.242 (6.251) Accm: 2.26 (2.30) Acct: 3.65 (3.56) proj_loss: -0.5543 (-0.5565) time: 0.3572 data: 0.0003
[11-25 20:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.35 Lm: 6.950 (6.951) Lt: 6.268 (6.273) Accm: 2.30 (2.31) Acct: 3.58 (3.55) proj_loss: -0.5578 (-0.5588) time: 0.3608 data: 0.0003
[11-25 20:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.35 Lm: 7.025 (7.033) Lt: 6.368 (6.393) Accm: 2.11 (2.08) Acct: 3.14 (3.23) proj_loss: -0.5536 (-0.5518) time: 0.3608 data: 0.0002
[11-25 20:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.35 Lm: 6.963 (6.960) Lt: 6.260 (6.268) Accm: 2.29 (2.36) Acct: 3.88 (3.86) proj_loss: -0.5587 (-0.5551) time: 0.3608 data: 0.0003
[11-25 20:37:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.35 Lm: 7.000 (6.957) Lt: 6.351 (6.311) Accm: 2.29 (2.32) Acct: 3.48 (3.52) proj_loss: -0.5436 (-0.5410) time: 0.3608 data: 0.0003
[11-25 20:39:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.993 (6.960) Lt: 6.323 (6.293) Accm: 2.35 (2.33) Acct: 3.70 (3.58) proj_loss: -0.5417 (-0.5402) time: 0.3623 data: 0.0019
[11-25 20:39:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:01 (0.361 s / it)
[11-25 20:39:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.015 (7.001) Lt: 6.356 (6.347) Accm: 2.15 (2.18) Acct: 3.20 (3.38) proj_loss: -0.5592 (-0.5541) time: 0.3623 data: 0.0016
[11-25 20:39:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.962 (6.925) Lt: 6.258 (6.239) Accm: 2.32 (2.43) Acct: 4.01 (3.94) proj_loss: -0.5547 (-0.5550) time: 0.3623 data: 0.0015
[11-25 20:39:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.971 (6.970) Lt: 6.294 (6.296) Accm: 2.26 (2.27) Acct: 3.51 (3.45) proj_loss: -0.5543 (-0.5575) time: 0.3623 data: 0.0019
[11-25 20:39:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:01 (0.361 s / it)
[11-25 20:39:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:01 (0.361 s / it)
[11-25 20:39:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:01 (0.361 s / it)
[11-25 20:39:46] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.980 (6.980), Lt: 6.314 (6.317), Acc m&t: 2.24 3.51, Remain: 1 day, 23:30:21, Finish: 2024-11-27 04:10
[11-25 20:39:46] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.980 (6.980), Lt: 6.314 (6.317), Acc m&t: 2.24 3.51, Remain: 1 day, 23:26:25, Finish: 2024-11-27 04:06
[11-25 20:39:46] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.980 (6.980), Lt: 6.314 (6.317), Acc m&t: 2.24 3.51, Remain: 1 day, 23:29:03, Finish: 2024-11-27 04:08
[11-25 20:39:46] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.980 (6.980), Lt: 6.314 (6.317), Acc m&t: 2.24 3.51, Remain: 1 day, 23:30:59, Finish: 2024-11-27 04:10
[11-25 20:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.34 Lm: 6.929 (6.929) Lt: 6.261 (6.261) Accm: 2.45 (2.45) Acct: 3.68 (3.68) proj_loss: -0.5382 (-0.5382) time: 0.3799 data: 0.0003
[11-25 20:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:09:58 tlr: 0.00021 tnm: 0.34 Lm: 7.021 (7.021) Lt: 6.395 (6.395) Accm: 2.07 (2.07) Acct: 3.06 (3.06) proj_loss: -0.5652 (-0.5652) time: 0.3587 data: 0.0003
[11-25 20:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:02 tlr: 0.00021 tnm: 0.34 Lm: 7.060 (7.060) Lt: 6.369 (6.369) Accm: 1.95 (1.95) Acct: 3.20 (3.20) proj_loss: -0.5447 (-0.5447) time: 0.3608 data: 0.0004
[11-25 20:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:09:58 tlr: 0.00021 tnm: 0.34 Lm: 7.056 (7.056) Lt: 6.352 (6.352) Accm: 2.22 (2.22) Acct: 3.53 (3.53) proj_loss: -0.5467 (-0.5467) time: 0.3587 data: 0.0004
[11-25 20:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.35 Lm: 7.027 (7.027) Lt: 6.334 (6.334) Accm: 2.24 (2.24) Acct: 3.50 (3.50) proj_loss: -0.5529 (-0.5529) time: 0.3604 data: 0.0003
[11-25 20:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.35 Lm: 6.979 (6.979) Lt: 6.297 (6.297) Accm: 2.04 (2.04) Acct: 3.16 (3.16) proj_loss: -0.5377 (-0.5377) time: 0.3605 data: 0.0003
[11-25 20:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.35 Lm: 6.945 (6.945) Lt: 6.285 (6.285) Accm: 2.23 (2.23) Acct: 3.42 (3.42) proj_loss: -0.5624 (-0.5624) time: 0.3605 data: 0.0003
[11-25 20:42:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.35 Lm: 6.957 (6.957) Lt: 6.316 (6.316) Accm: 2.40 (2.40) Acct: 3.57 (3.57) proj_loss: -0.5593 (-0.5593) time: 0.3604 data: 0.0003
[11-25 20:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 6.969 (6.961) Lt: 6.300 (6.311) Accm: 2.36 (2.38) Acct: 3.62 (3.59) proj_loss: -0.5419 (-0.5535) time: 0.3622 data: 0.0003
[11-25 20:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 7.021 (6.986) Lt: 6.395 (6.335) Accm: 2.07 (2.12) Acct: 3.06 (3.25) proj_loss: -0.5652 (-0.5633) time: 0.3622 data: 0.0002
[11-25 20:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 6.997 (7.005) Lt: 6.316 (6.306) Accm: 2.22 (2.23) Acct: 3.53 (3.52) proj_loss: -0.5569 (-0.5543) time: 0.3622 data: 0.0003
[11-25 20:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 7.060 (7.007) Lt: 6.369 (6.340) Accm: 1.95 (1.99) Acct: 3.12 (3.12) proj_loss: -0.5447 (-0.5464) time: 0.3622 data: 0.0003
[11-25 20:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.32 Lm: 6.996 (6.988) Lt: 6.324 (6.324) Accm: 2.04 (2.09) Acct: 3.16 (3.27) proj_loss: -0.5542 (-0.5555) time: 0.3617 data: 0.0003
[11-25 20:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.32 Lm: 7.044 (7.022) Lt: 6.414 (6.380) Accm: 1.98 (2.04) Acct: 2.99 (3.14) proj_loss: -0.5623 (-0.5591) time: 0.3617 data: 0.0003
[11-25 20:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.32 Lm: 6.977 (6.976) Lt: 6.326 (6.321) Accm: 2.35 (2.37) Acct: 3.55 (3.56) proj_loss: -0.5401 (-0.5480) time: 0.3617 data: 0.0003
[11-25 20:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.32 Lm: 7.008 (7.008) Lt: 6.315 (6.308) Accm: 2.22 (2.12) Acct: 3.50 (3.38) proj_loss: -0.5536 (-0.5532) time: 0.3617 data: 0.0003
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.019 (7.018) Lt: 6.316 (6.317) Accm: 2.21 (2.11) Acct: 3.46 (3.40) proj_loss: -0.5502 (-0.5492) time: 0.4088 data: 0.0020
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 7.025 (7.023) Lt: 6.414 (6.387) Accm: 2.05 (2.04) Acct: 3.06 (3.13) proj_loss: -0.5595 (-0.5557) time: 0.4088 data: 0.0020
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.985 (6.988) Lt: 6.352 (6.331) Accm: 2.34 (2.32) Acct: 3.56 (3.56) proj_loss: -0.5382 (-0.5438) time: 0.4088 data: 0.0014
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.941 (6.979) Lt: 6.294 (6.318) Accm: 2.13 (2.13) Acct: 3.20 (3.36) proj_loss: -0.5599 (-0.5564) time: 0.4088 data: 0.0018
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:10:14 (0.368 s / it)
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:10:14 (0.368 s / it)
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:10:14 (0.368 s / it)
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:10:14 (0.368 s / it)
[11-25 20:50:01] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.980 (6.993), Lt: 6.314 (6.323), Acc m&t: 2.24 3.51, Remain: 1 day, 23:30:03, Finish: 2024-11-27 04:20
[11-25 20:50:01] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.980 (6.993), Lt: 6.314 (6.323), Acc m&t: 2.24 3.51, Remain: 1 day, 23:30:37, Finish: 2024-11-27 04:20
[11-25 20:50:01] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.980 (6.993), Lt: 6.314 (6.323), Acc m&t: 2.24 3.51, Remain: 1 day, 23:30:25, Finish: 2024-11-27 04:20
[11-25 20:50:01] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.980 (6.993), Lt: 6.314 (6.323), Acc m&t: 2.24 3.51, Remain: 1 day, 23:30:27, Finish: 2024-11-27 04:20
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:09:45 tlr: 0.00021 tnm: 0.35 Lm: 6.977 (6.977) Lt: 6.362 (6.362) Accm: 2.27 (2.27) Acct: 3.50 (3.50) proj_loss: -0.5531 (-0.5531) time: 0.3508 data: 0.0003
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:09:46 tlr: 0.00021 tnm: 0.35 Lm: 7.124 (7.124) Lt: 6.461 (6.461) Accm: 1.91 (1.91) Acct: 3.12 (3.12) proj_loss: -0.5465 (-0.5465) time: 0.3515 data: 0.0004
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:09:49 tlr: 0.00021 tnm: 0.35 Lm: 6.936 (6.936) Lt: 6.209 (6.209) Accm: 2.11 (2.11) Acct: 3.34 (3.34) proj_loss: -0.5618 (-0.5618) time: 0.3532 data: 0.0003
[11-25 20:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:09:48 tlr: 0.00021 tnm: 0.35 Lm: 6.868 (6.868) Lt: 6.195 (6.195) Accm: 2.53 (2.53) Acct: 4.10 (4.10) proj_loss: -0.5657 (-0.5657) time: 0.3524 data: 0.0003
[11-25 20:52:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:08:05 tlr: 0.00021 tnm: 0.32 Lm: 6.981 (6.981) Lt: 6.322 (6.322) Accm: 2.22 (2.22) Acct: 3.43 (3.43) proj_loss: -0.5663 (-0.5663) time: 0.3622 data: 0.0003
[11-25 20:52:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:08:05 tlr: 0.00021 tnm: 0.32 Lm: 7.014 (7.014) Lt: 6.401 (6.401) Accm: 2.23 (2.23) Acct: 3.56 (3.56) proj_loss: -0.5445 (-0.5445) time: 0.3621 data: 0.0002
[11-25 20:52:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:08:05 tlr: 0.00021 tnm: 0.32 Lm: 6.919 (6.919) Lt: 6.229 (6.229) Accm: 2.21 (2.21) Acct: 3.46 (3.46) proj_loss: -0.5504 (-0.5504) time: 0.3622 data: 0.0003
[11-25 20:52:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:08:05 tlr: 0.00021 tnm: 0.32 Lm: 7.033 (7.033) Lt: 6.383 (6.383) Accm: 2.11 (2.11) Acct: 3.40 (3.40) proj_loss: -0.5596 (-0.5596) time: 0.3622 data: 0.0002
[11-25 20:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:13 tlr: 0.00021 tnm: 0.32 Lm: 7.020 (7.029) Lt: 6.322 (6.362) Accm: 2.24 (2.16) Acct: 3.68 (3.52) proj_loss: -0.5530 (-0.5574) time: 0.4073 data: 0.0002
[11-25 20:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:13 tlr: 0.00021 tnm: 0.32 Lm: 6.994 (7.008) Lt: 6.362 (6.385) Accm: 2.19 (2.21) Acct: 3.50 (3.44) proj_loss: -0.5531 (-0.5520) time: 0.4073 data: 0.0003
[11-25 20:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:13 tlr: 0.00021 tnm: 0.32 Lm: 6.948 (6.970) Lt: 6.295 (6.313) Accm: 2.19 (2.21) Acct: 3.46 (3.44) proj_loss: -0.5669 (-0.5667) time: 0.4073 data: 0.0003
[11-25 20:55:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:13 tlr: 0.00021 tnm: 0.32 Lm: 6.928 (6.922) Lt: 6.209 (6.217) Accm: 2.31 (2.37) Acct: 3.58 (3.75) proj_loss: -0.5618 (-0.5544) time: 0.4073 data: 0.0003
[11-25 20:57:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:35 tlr: 0.00021 tnm: 0.32 Lm: 6.932 (6.935) Lt: 6.229 (6.246) Accm: 2.33 (2.37) Acct: 3.66 (3.75) proj_loss: -0.5620 (-0.5585) time: 0.3595 data: 0.0003
[11-25 20:57:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:35 tlr: 0.00021 tnm: 0.32 Lm: 6.991 (7.012) Lt: 6.313 (6.336) Accm: 2.28 (2.21) Acct: 3.68 (3.56) proj_loss: -0.5509 (-0.5552) time: 0.3595 data: 0.0002
[11-25 20:57:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:35 tlr: 0.00021 tnm: 0.32 Lm: 7.001 (7.008) Lt: 6.358 (6.374) Accm: 2.17 (2.19) Acct: 3.47 (3.44) proj_loss: -0.5540 (-0.5527) time: 0.3595 data: 0.0002
[11-25 20:57:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:35 tlr: 0.00021 tnm: 0.32 Lm: 6.964 (6.972) Lt: 6.278 (6.300) Accm: 2.28 (2.25) Acct: 3.53 (3.48) proj_loss: -0.5663 (-0.5561) time: 0.3595 data: 0.0003
[11-25 21:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.948 (6.952) Lt: 6.262 (6.271) Accm: 2.36 (2.30) Acct: 3.60 (3.64) proj_loss: -0.5657 (-0.5567) time: 0.3608 data: 0.0018
[11-25 21:00:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:14 (0.368 s / it)
[11-25 21:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.994 (6.977) Lt: 6.354 (6.329) Accm: 2.19 (2.30) Acct: 3.50 (3.62) proj_loss: -0.5549 (-0.5539) time: 0.3608 data: 0.0017
[11-25 21:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 7.020 (7.029) Lt: 6.322 (6.358) Accm: 2.24 (2.17) Acct: 3.67 (3.52) proj_loss: -0.5530 (-0.5573) time: 0.3608 data: 0.0019
[11-25 21:00:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.936 (6.949) Lt: 6.250 (6.276) Accm: 2.31 (2.34) Acct: 3.58 (3.69) proj_loss: -0.5618 (-0.5569) time: 0.3608 data: 0.0016
[11-25 21:00:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:14 (0.368 s / it)
[11-25 21:00:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:14 (0.368 s / it)
[11-25 21:00:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:14 (0.368 s / it)
[11-25 21:02:20] (home/user/VAR/trainer.py, line 114)=> FID: 6.338216900481029
[11-25 21:02:20] (/home/user/VAR/train.py , line 259)=> [*] [ep69] (val 50000) Lm: 6.9784, Lt: 6.3092, Acc m&t: 2.24 3.49, Val cost: 124.15s
[11-25 21:02:20] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-25 21:02:38] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.978 (6.978), Lt: 6.309 (6.309), Acc m&t: 2.24 3.51, Remain: 1 day, 22:55:30, Finish: 2024-11-27 03:55
[11-25 21:02:38] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.978 (6.978), Lt: 6.309 (6.309), Acc m&t: 2.24 3.51, Remain: 1 day, 22:55:16, Finish: 2024-11-27 03:55
[11-25 21:02:38] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.978 (6.978), Lt: 6.309 (6.309), Acc m&t: 2.24 3.51, Remain: 1 day, 22:55:16, Finish: 2024-11-27 03:55
[11-25 21:02:38] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.978 (6.978), Lt: 6.309 (6.309), Acc m&t: 2.24 3.51, Remain: 1 day, 22:54:56, Finish: 2024-11-27 03:55
[11-25 21:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:09:59 tlr: 0.00021 tnm: 0.34 Lm: 6.879 (6.879) Lt: 6.179 (6.179) Accm: 2.47 (2.47) Acct: 3.79 (3.79) proj_loss: -0.5412 (-0.5412) time: 0.3593 data: 0.0003
[11-25 21:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:01 tlr: 0.00021 tnm: 0.34 Lm: 7.030 (7.030) Lt: 6.353 (6.353) Accm: 2.32 (2.32) Acct: 3.70 (3.70) proj_loss: -0.5460 (-0.5460) time: 0.3601 data: 0.0004
[11-25 21:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:01 tlr: 0.00021 tnm: 0.34 Lm: 6.990 (6.990) Lt: 6.329 (6.329) Accm: 2.44 (2.44) Acct: 3.63 (3.63) proj_loss: -0.5691 (-0.5691) time: 0.3606 data: 0.0004
[11-25 21:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:03 tlr: 0.00021 tnm: 0.34 Lm: 6.999 (6.999) Lt: 6.299 (6.299) Accm: 2.21 (2.21) Acct: 3.46 (3.46) proj_loss: -0.5441 (-0.5441) time: 0.3613 data: 0.0005
[11-25 21:05:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.35 Lm: 6.974 (6.974) Lt: 6.281 (6.281) Accm: 2.28 (2.28) Acct: 3.63 (3.63) proj_loss: -0.5497 (-0.5497) time: 0.3615 data: 0.0002
[11-25 21:05:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.35 Lm: 7.042 (7.042) Lt: 6.400 (6.400) Accm: 2.15 (2.15) Acct: 3.24 (3.24) proj_loss: -0.5638 (-0.5638) time: 0.3615 data: 0.0003
[11-25 21:05:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.35 Lm: 7.033 (7.033) Lt: 6.366 (6.366) Accm: 2.24 (2.24) Acct: 3.62 (3.62) proj_loss: -0.5523 (-0.5523) time: 0.3615 data: 0.0002
[11-25 21:05:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:07:30 tlr: 0.00021 tnm: 0.35 Lm: 6.914 (6.914) Lt: 6.213 (6.213) Accm: 2.56 (2.56) Acct: 4.01 (4.01) proj_loss: -0.5545 (-0.5545) time: 0.3615 data: 0.0003
[11-25 21:07:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 6.891 (6.907) Lt: 6.246 (6.232) Accm: 2.47 (2.45) Acct: 3.79 (3.77) proj_loss: -0.5678 (-0.5607) time: 0.3610 data: 0.0002
[11-25 21:07:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 7.030 (6.993) Lt: 6.353 (6.342) Accm: 2.26 (2.25) Acct: 3.62 (3.62) proj_loss: -0.5581 (-0.5542) time: 0.3610 data: 0.0002
[11-25 21:07:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 7.007 (7.030) Lt: 6.329 (6.373) Accm: 2.11 (2.14) Acct: 3.32 (3.27) proj_loss: -0.5584 (-0.5542) time: 0.3610 data: 0.0003
[11-25 21:07:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:00 tlr: 0.00021 tnm: 0.33 Lm: 6.997 (6.982) Lt: 6.299 (6.310) Accm: 2.24 (2.27) Acct: 3.46 (3.47) proj_loss: -0.5441 (-0.5475) time: 0.3610 data: 0.0003
[11-25 21:10:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.34 Lm: 6.973 (6.946) Lt: 6.281 (6.266) Accm: 2.29 (2.36) Acct: 3.63 (3.62) proj_loss: -0.5497 (-0.5512) time: 0.3627 data: 0.0003
[11-25 21:10:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.34 Lm: 6.920 (6.921) Lt: 6.259 (6.254) Accm: 2.41 (2.43) Acct: 3.67 (3.71) proj_loss: -0.5550 (-0.5561) time: 0.3627 data: 0.0002
[11-25 21:10:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.34 Lm: 7.016 (6.995) Lt: 6.355 (6.346) Accm: 2.22 (2.23) Acct: 3.57 (3.59) proj_loss: -0.5568 (-0.5545) time: 0.3627 data: 0.0005
[11-25 21:10:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:30 tlr: 0.00021 tnm: 0.34 Lm: 7.016 (7.029) Lt: 6.346 (6.371) Accm: 2.25 (2.20) Acct: 3.48 (3.36) proj_loss: -0.5520 (-0.5521) time: 0.3627 data: 0.0003
[11-25 21:12:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 7.009 (7.025) Lt: 6.333 (6.364) Accm: 2.11 (2.18) Acct: 3.51 (3.39) proj_loss: -0.5473 (-0.5511) time: 0.3643 data: 0.0024
[11-25 21:12:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:02 (0.361 s / it)
[11-25 21:12:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 7.030 (7.007) Lt: 6.358 (6.358) Accm: 2.26 (2.25) Acct: 3.58 (3.59) proj_loss: -0.5581 (-0.5568) time: 0.3643 data: 0.0018
[11-25 21:12:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.895 (6.916) Lt: 6.246 (6.247) Accm: 2.47 (2.45) Acct: 3.79 (3.75) proj_loss: -0.5643 (-0.5577) time: 0.3643 data: 0.0022
[11-25 21:12:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.949 (6.932) Lt: 6.263 (6.237) Accm: 2.35 (2.42) Acct: 3.81 (3.73) proj_loss: -0.5441 (-0.5484) time: 0.3644 data: 0.0019
[11-25 21:12:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:02 (0.361 s / it)
[11-25 21:12:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:02 (0.361 s / it)
[11-25 21:12:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:02 (0.361 s / it)
[11-25 21:12:40] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.966 (6.966), Lt: 6.294 (6.294), Acc m&t: 2.29 3.59, Remain: 1 day, 23:15:53, Finish: 2024-11-27 04:28
[11-25 21:12:40] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.966 (6.966), Lt: 6.294 (6.294), Acc m&t: 2.29 3.59, Remain: 1 day, 23:19:08, Finish: 2024-11-27 04:31
[11-25 21:12:40] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.966 (6.966), Lt: 6.294 (6.294), Acc m&t: 2.29 3.59, Remain: 1 day, 23:15:55, Finish: 2024-11-27 04:28
[11-25 21:12:40] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.966 (6.966), Lt: 6.294 (6.294), Acc m&t: 2.29 3.59, Remain: 1 day, 23:16:01, Finish: 2024-11-27 04:28
[11-25 21:12:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:09:27 tlr: 0.00021 tnm: 0.33 Lm: 6.998 (6.998) Lt: 6.356 (6.356) Accm: 2.27 (2.27) Acct: 3.19 (3.19) proj_loss: -0.5336 (-0.5336) time: 0.3400 data: 0.0004
[11-25 21:12:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:10 tlr: 0.00021 tnm: 0.33 Lm: 6.856 (6.856) Lt: 6.125 (6.125) Accm: 2.52 (2.52) Acct: 4.05 (4.05) proj_loss: -0.5302 (-0.5302) time: 0.3659 data: 0.0004
[11-25 21:12:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:09:43 tlr: 0.00021 tnm: 0.33 Lm: 6.895 (6.895) Lt: 6.212 (6.212) Accm: 2.49 (2.49) Acct: 3.77 (3.77) proj_loss: -0.5647 (-0.5647) time: 0.3496 data: 0.0004
[11-25 21:12:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:09:27 tlr: 0.00021 tnm: 0.33 Lm: 6.797 (6.797) Lt: 6.053 (6.053) Accm: 2.83 (2.83) Acct: 4.56 (4.56) proj_loss: -0.5505 (-0.5505) time: 0.3397 data: 0.0004
[11-25 21:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.34 Lm: 6.909 (6.909) Lt: 6.215 (6.215) Accm: 2.34 (2.34) Acct: 3.66 (3.66) proj_loss: -0.5452 (-0.5452) time: 0.3641 data: 0.0002
[11-25 21:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.34 Lm: 7.033 (7.033) Lt: 6.367 (6.367) Accm: 2.11 (2.11) Acct: 3.16 (3.16) proj_loss: -0.5360 (-0.5360) time: 0.3644 data: 0.0002
[11-25 21:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.34 Lm: 6.959 (6.959) Lt: 6.278 (6.278) Accm: 2.35 (2.35) Acct: 3.68 (3.68) proj_loss: -0.5497 (-0.5497) time: 0.3644 data: 0.0003
[11-25 21:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:32 tlr: 0.00021 tnm: 0.34 Lm: 6.877 (6.877) Lt: 6.176 (6.176) Accm: 2.55 (2.55) Acct: 4.14 (4.14) proj_loss: -0.5483 (-0.5483) time: 0.3644 data: 0.0003
[11-25 21:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.33 Lm: 6.866 (6.873) Lt: 6.148 (6.167) Accm: 2.44 (2.51) Acct: 3.72 (4.00) proj_loss: -0.5505 (-0.5499) time: 0.3627 data: 0.0003
[11-25 21:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.33 Lm: 6.998 (6.998) Lt: 6.356 (6.319) Accm: 2.22 (2.15) Acct: 3.19 (3.23) proj_loss: -0.5384 (-0.5422) time: 0.3627 data: 0.0002
[11-25 21:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.33 Lm: 6.984 (6.967) Lt: 6.318 (6.292) Accm: 2.21 (2.29) Acct: 3.60 (3.58) proj_loss: -0.5402 (-0.5465) time: 0.3627 data: 0.0003
[11-25 21:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:01 tlr: 0.00021 tnm: 0.33 Lm: 6.961 (6.955) Lt: 6.305 (6.266) Accm: 2.16 (2.20) Acct: 3.27 (3.52) proj_loss: -0.5447 (-0.5450) time: 0.3627 data: 0.0003
[11-25 21:20:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.32 Lm: 6.936 (6.944) Lt: 6.271 (6.259) Accm: 2.32 (2.27) Acct: 3.38 (3.52) proj_loss: -0.5524 (-0.5530) time: 0.4449 data: 0.0003
[11-25 21:20:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.32 Lm: 6.981 (6.970) Lt: 6.315 (6.296) Accm: 2.21 (2.27) Acct: 3.61 (3.59) proj_loss: -0.5427 (-0.5462) time: 0.4449 data: 0.0003
[11-25 21:20:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.32 Lm: 7.033 (7.022) Lt: 6.367 (6.339) Accm: 2.15 (2.13) Acct: 3.16 (3.19) proj_loss: -0.5360 (-0.5384) time: 0.4449 data: 0.0002
[11-25 21:20:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:31 tlr: 0.00021 tnm: 0.32 Lm: 6.896 (6.886) Lt: 6.193 (6.185) Accm: 2.38 (2.46) Acct: 3.72 (3.84) proj_loss: -0.5483 (-0.5478) time: 0.4449 data: 0.0003
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.961 (6.954) Lt: 6.267 (6.261) Accm: 2.42 (2.30) Acct: 3.50 (3.61) proj_loss: -0.5550 (-0.5534) time: 0.4061 data: 0.0018
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.998 (7.009) Lt: 6.356 (6.327) Accm: 2.22 (2.17) Acct: 3.19 (3.27) proj_loss: -0.5367 (-0.5380) time: 0.4061 data: 0.0019
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.979 (6.968) Lt: 6.311 (6.297) Accm: 2.21 (2.24) Acct: 3.60 (3.47) proj_loss: -0.5452 (-0.5520) time: 0.4061 data: 0.0019
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.897 (6.889) Lt: 6.238 (6.204) Accm: 2.42 (2.45) Acct: 3.72 (3.81) proj_loss: -0.5505 (-0.5560) time: 0.4061 data: 0.0021
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:10:23 (0.373 s / it)
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:10:23 (0.373 s / it)
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:10:23 (0.373 s / it)
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:10:23 (0.373 s / it)
[11-25 21:23:04] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.958 (6.958), Lt: 6.283 (6.283), Acc m&t: 2.30 3.59, Remain: 1 day, 22:43:08, Finish: 2024-11-27 04:06
[11-25 21:23:04] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.958 (6.958), Lt: 6.283 (6.283), Acc m&t: 2.30 3.59, Remain: 1 day, 22:41:36, Finish: 2024-11-27 04:04
[11-25 21:23:04] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.958 (6.958), Lt: 6.283 (6.283), Acc m&t: 2.30 3.59, Remain: 1 day, 22:41:47, Finish: 2024-11-27 04:04
[11-25 21:23:04] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.958 (6.958), Lt: 6.283 (6.283), Acc m&t: 2.30 3.59, Remain: 1 day, 22:40:33, Finish: 2024-11-27 04:03
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:09:55 tlr: 0.00021 tnm: 0.32 Lm: 6.877 (6.877) Lt: 6.216 (6.216) Accm: 2.40 (2.40) Acct: 3.63 (3.63) proj_loss: -0.5538 (-0.5538) time: 0.3569 data: 0.0003
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:09:47 tlr: 0.00021 tnm: 0.32 Lm: 6.924 (6.924) Lt: 6.228 (6.228) Accm: 2.31 (2.31) Acct: 3.77 (3.77) proj_loss: -0.5271 (-0.5271) time: 0.3519 data: 0.0003
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:09:49 tlr: 0.00021 tnm: 0.32 Lm: 6.977 (6.977) Lt: 6.375 (6.375) Accm: 2.27 (2.27) Acct: 3.37 (3.37) proj_loss: -0.5526 (-0.5526) time: 0.3530 data: 0.0003
[11-25 21:23:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:09:49 tlr: 0.00021 tnm: 0.32 Lm: 6.869 (6.869) Lt: 6.254 (6.254) Accm: 2.44 (2.44) Acct: 3.72 (3.72) proj_loss: -0.5677 (-0.5677) time: 0.3535 data: 0.0004
[11-25 21:25:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.33 Lm: 6.969 (6.969) Lt: 6.327 (6.327) Accm: 2.22 (2.22) Acct: 3.45 (3.45) proj_loss: -0.5569 (-0.5569) time: 0.3622 data: 0.0003
[11-25 21:25:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.33 Lm: 6.926 (6.926) Lt: 6.262 (6.262) Accm: 2.35 (2.35) Acct: 3.60 (3.60) proj_loss: -0.5527 (-0.5527) time: 0.3622 data: 0.0002
[11-25 21:25:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.33 Lm: 6.969 (6.969) Lt: 6.353 (6.353) Accm: 2.32 (2.32) Acct: 3.52 (3.52) proj_loss: -0.5578 (-0.5578) time: 0.3623 data: 0.0003
[11-25 21:25:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.33 Lm: 6.960 (6.960) Lt: 6.289 (6.289) Accm: 2.31 (2.31) Acct: 3.64 (3.64) proj_loss: -0.5386 (-0.5386) time: 0.3623 data: 0.0002
[11-25 21:28:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.33 Lm: 6.995 (6.993) Lt: 6.350 (6.357) Accm: 2.31 (2.23) Acct: 3.51 (3.40) proj_loss: -0.5501 (-0.5502) time: 0.3609 data: 0.0003
[11-25 21:28:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.33 Lm: 6.977 (6.994) Lt: 6.375 (6.372) Accm: 2.33 (2.33) Acct: 3.46 (3.50) proj_loss: -0.5545 (-0.5567) time: 0.3609 data: 0.0003
[11-25 21:28:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.33 Lm: 6.974 (6.979) Lt: 6.308 (6.323) Accm: 2.29 (2.25) Acct: 3.56 (3.47) proj_loss: -0.5538 (-0.5540) time: 0.3609 data: 0.0002
[11-25 21:28:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:04 tlr: 0.0002 tnm: 0.33 Lm: 7.070 (7.019) Lt: 6.400 (6.381) Accm: 2.16 (2.20) Acct: 3.58 (3.50) proj_loss: -0.5677 (-0.5608) time: 0.3609 data: 0.0004
[11-25 21:30:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 7.003 (6.999) Lt: 6.364 (6.368) Accm: 2.20 (2.21) Acct: 3.44 (3.45) proj_loss: -0.5681 (-0.5633) time: 0.3603 data: 0.0003
[11-25 21:30:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.969 (6.977) Lt: 6.353 (6.338) Accm: 2.36 (2.35) Acct: 3.56 (3.54) proj_loss: -0.5587 (-0.5607) time: 0.3603 data: 0.0003
[11-25 21:30:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.960 (6.957) Lt: 6.289 (6.295) Accm: 2.31 (2.31) Acct: 3.64 (3.60) proj_loss: -0.5560 (-0.5531) time: 0.3603 data: 0.0002
[11-25 21:30:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 7.010 (6.996) Lt: 6.358 (6.344) Accm: 2.18 (2.19) Acct: 3.44 (3.43) proj_loss: -0.5552 (-0.5576) time: 0.3603 data: 0.0002
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.974 (6.982) Lt: 6.308 (6.321) Accm: 2.16 (2.19) Acct: 3.39 (3.43) proj_loss: -0.5565 (-0.5593) time: 0.3631 data: 0.0018
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.960 (6.952) Lt: 6.331 (6.293) Accm: 2.38 (2.37) Acct: 3.67 (3.63) proj_loss: -0.5545 (-0.5584) time: 0.3631 data: 0.0016
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.942 (6.987) Lt: 6.328 (6.341) Accm: 2.24 (2.25) Acct: 3.58 (3.53) proj_loss: -0.5677 (-0.5632) time: 0.3631 data: 0.0018
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:04 (0.362 s / it)
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.924 (6.932) Lt: 6.228 (6.255) Accm: 2.31 (2.38) Acct: 3.77 (3.73) proj_loss: -0.5618 (-0.5558) time: 0.3631 data: 0.0020
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:04 (0.362 s / it)
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:04 (0.362 s / it)
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:04 (0.362 s / it)
[11-25 21:33:09] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.958 (6.965), Lt: 6.283 (6.298), Acc m&t: 2.30 3.59, Remain: 1 day, 22:46:31, Finish: 2024-11-27 04:19
[11-25 21:33:09] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.958 (6.965), Lt: 6.283 (6.298), Acc m&t: 2.30 3.59, Remain: 1 day, 22:47:09, Finish: 2024-11-27 04:20
[11-25 21:33:09] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.958 (6.965), Lt: 6.283 (6.298), Acc m&t: 2.30 3.59, Remain: 1 day, 22:46:59, Finish: 2024-11-27 04:20
[11-25 21:33:09] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.958 (6.965), Lt: 6.283 (6.298), Acc m&t: 2.30 3.59, Remain: 1 day, 22:46:22, Finish: 2024-11-27 04:19
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:09:42 tlr: 0.0002 tnm: 0.32 Lm: 7.030 (7.030) Lt: 6.353 (6.353) Accm: 2.11 (2.11) Acct: 3.36 (3.36) proj_loss: -0.5624 (-0.5624) time: 0.3490 data: 0.0004
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:09:43 tlr: 0.0002 tnm: 0.32 Lm: 6.846 (6.846) Lt: 6.183 (6.183) Accm: 2.64 (2.64) Acct: 3.82 (3.82) proj_loss: -0.5501 (-0.5501) time: 0.3499 data: 0.0004
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:09:44 tlr: 0.0002 tnm: 0.32 Lm: 6.789 (6.789) Lt: 6.083 (6.083) Accm: 2.79 (2.79) Acct: 4.30 (4.30) proj_loss: -0.5552 (-0.5552) time: 0.3500 data: 0.0004
[11-25 21:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:09:46 tlr: 0.0002 tnm: 0.32 Lm: 7.135 (7.135) Lt: 6.498 (6.498) Accm: 1.93 (1.93) Acct: 3.20 (3.20) proj_loss: -0.5647 (-0.5647) time: 0.3513 data: 0.0004
[11-25 21:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.34 Lm: 6.986 (6.986) Lt: 6.299 (6.299) Accm: 2.16 (2.16) Acct: 3.41 (3.41) proj_loss: -0.5594 (-0.5594) time: 0.3578 data: 0.0003
[11-25 21:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.34 Lm: 6.944 (6.944) Lt: 6.286 (6.286) Accm: 2.40 (2.40) Acct: 3.63 (3.63) proj_loss: -0.5449 (-0.5449) time: 0.3578 data: 0.0003
[11-25 21:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.34 Lm: 6.900 (6.900) Lt: 6.209 (6.209) Accm: 2.34 (2.34) Acct: 3.80 (3.80) proj_loss: -0.5604 (-0.5604) time: 0.3578 data: 0.0002
[11-25 21:35:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.34 Lm: 6.862 (6.862) Lt: 6.158 (6.158) Accm: 2.69 (2.69) Acct: 4.29 (4.29) proj_loss: -0.5565 (-0.5565) time: 0.3578 data: 0.0003
[11-25 21:38:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:00 tlr: 0.0002 tnm: 0.34 Lm: 6.930 (6.885) Lt: 6.233 (6.221) Accm: 2.59 (2.57) Acct: 4.27 (4.01) proj_loss: -0.5577 (-0.5613) time: 0.3616 data: 0.0003
[11-25 21:38:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:00 tlr: 0.0002 tnm: 0.34 Lm: 6.927 (6.909) Lt: 6.241 (6.219) Accm: 2.29 (2.32) Acct: 3.36 (3.64) proj_loss: -0.5583 (-0.5531) time: 0.3616 data: 0.0002
[11-25 21:38:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:00 tlr: 0.0002 tnm: 0.34 Lm: 7.042 (6.986) Lt: 6.389 (6.321) Accm: 2.16 (2.29) Acct: 3.44 (3.55) proj_loss: -0.5501 (-0.5538) time: 0.3616 data: 0.0003
[11-25 21:38:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:00 tlr: 0.0002 tnm: 0.34 Lm: 6.899 (6.957) Lt: 6.258 (6.285) Accm: 2.39 (2.25) Acct: 3.58 (3.47) proj_loss: -0.5541 (-0.5553) time: 0.3616 data: 0.0003
[11-25 21:40:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.33 Lm: 6.982 (6.984) Lt: 6.317 (6.308) Accm: 2.28 (2.23) Acct: 3.44 (3.43) proj_loss: -0.5506 (-0.5468) time: 0.3608 data: 0.0003
[11-25 21:40:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.33 Lm: 6.920 (6.891) Lt: 6.239 (6.227) Accm: 2.50 (2.53) Acct: 3.98 (3.93) proj_loss: -0.5628 (-0.5629) time: 0.3608 data: 0.0003
[11-25 21:40:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.33 Lm: 6.979 (6.965) Lt: 6.297 (6.302) Accm: 2.20 (2.16) Acct: 3.34 (3.37) proj_loss: -0.5604 (-0.5594) time: 0.3608 data: 0.0002
[11-25 21:40:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.33 Lm: 7.056 (7.010) Lt: 6.386 (6.336) Accm: 2.20 (2.28) Acct: 3.42 (3.47) proj_loss: -0.5559 (-0.5558) time: 0.3608 data: 0.0003
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 7.042 (7.000) Lt: 6.384 (6.315) Accm: 2.24 (2.28) Acct: 3.44 (3.49) proj_loss: -0.5618 (-0.5572) time: 0.3590 data: 0.0018
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:01 (0.360 s / it)
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 7.066 (7.011) Lt: 6.376 (6.347) Accm: 2.16 (2.21) Acct: 3.31 (3.38) proj_loss: -0.5471 (-0.5449) time: 0.3590 data: 0.0017
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.930 (6.914) Lt: 6.246 (6.246) Accm: 2.40 (2.45) Acct: 3.68 (3.78) proj_loss: -0.5577 (-0.5611) time: 0.3590 data: 0.0016
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.927 (6.945) Lt: 6.241 (6.274) Accm: 2.29 (2.22) Acct: 3.36 (3.46) proj_loss: -0.5609 (-0.5597) time: 0.3590 data: 0.0017
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:01 (0.360 s / it)
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:01 (0.360 s / it)
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:01 (0.360 s / it)
[11-25 21:43:10] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.958 (6.961), Lt: 6.283 (6.286), Acc m&t: 2.30 3.61, Remain: 1 day, 22:20:43, Finish: 2024-11-27 04:03
[11-25 21:43:10] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.958 (6.961), Lt: 6.283 (6.286), Acc m&t: 2.30 3.61, Remain: 1 day, 22:22:04, Finish: 2024-11-27 04:05
[11-25 21:43:10] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.958 (6.961), Lt: 6.283 (6.286), Acc m&t: 2.30 3.61, Remain: 1 day, 22:21:19, Finish: 2024-11-27 04:04
[11-25 21:43:10] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.958 (6.961), Lt: 6.283 (6.286), Acc m&t: 2.30 3.61, Remain: 1 day, 22:22:29, Finish: 2024-11-27 04:05
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:09:53 tlr: 0.0002 tnm: 0.33 Lm: 6.881 (6.881) Lt: 6.170 (6.170) Accm: 2.59 (2.59) Acct: 3.93 (3.93) proj_loss: -0.5497 (-0.5497) time: 0.3556 data: 0.0003
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:09:36 tlr: 0.0002 tnm: 0.33 Lm: 6.999 (6.999) Lt: 6.307 (6.307) Accm: 2.33 (2.33) Acct: 3.74 (3.74) proj_loss: -0.5539 (-0.5539) time: 0.3454 data: 0.0004
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:09:38 tlr: 0.0002 tnm: 0.33 Lm: 7.001 (7.001) Lt: 6.353 (6.353) Accm: 2.30 (2.30) Acct: 3.72 (3.72) proj_loss: -0.5302 (-0.5302) time: 0.3469 data: 0.0003
[11-25 21:43:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:09:38 tlr: 0.0002 tnm: 0.33 Lm: 6.909 (6.909) Lt: 6.221 (6.221) Accm: 2.56 (2.56) Acct: 4.05 (4.05) proj_loss: -0.5549 (-0.5549) time: 0.3468 data: 0.0004
[11-25 21:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.975 (6.975) Lt: 6.286 (6.286) Accm: 2.32 (2.32) Acct: 3.69 (3.69) proj_loss: -0.5530 (-0.5530) time: 0.3593 data: 0.0003
[11-25 21:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.914 (6.914) Lt: 6.193 (6.193) Accm: 2.45 (2.45) Acct: 3.67 (3.67) proj_loss: -0.5457 (-0.5457) time: 0.3593 data: 0.0003
[11-25 21:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.962 (6.962) Lt: 6.287 (6.287) Accm: 2.39 (2.39) Acct: 3.76 (3.76) proj_loss: -0.5462 (-0.5462) time: 0.3593 data: 0.0002
[11-25 21:45:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.984 (6.984) Lt: 6.324 (6.324) Accm: 2.41 (2.41) Acct: 3.91 (3.91) proj_loss: -0.5428 (-0.5428) time: 0.3593 data: 0.0003
[11-25 21:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.34 Lm: 6.966 (6.971) Lt: 6.295 (6.288) Accm: 2.30 (2.37) Acct: 3.72 (3.81) proj_loss: -0.5554 (-0.5475) time: 0.3581 data: 0.0003
[11-25 21:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.34 Lm: 6.967 (6.964) Lt: 6.307 (6.306) Accm: 2.44 (2.43) Acct: 3.79 (3.81) proj_loss: -0.5489 (-0.5471) time: 0.3581 data: 0.0002
[11-25 21:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.34 Lm: 6.947 (6.925) Lt: 6.215 (6.203) Accm: 2.52 (2.48) Acct: 3.93 (3.79) proj_loss: -0.5486 (-0.5467) time: 0.3581 data: 0.0003
[11-25 21:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.34 Lm: 7.020 (6.990) Lt: 6.349 (6.307) Accm: 2.35 (2.33) Acct: 3.91 (3.76) proj_loss: -0.5549 (-0.5554) time: 0.3581 data: 0.0003
[11-25 21:50:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:34 tlr: 0.0002 tnm: 0.32 Lm: 7.006 (6.991) Lt: 6.338 (6.312) Accm: 2.26 (2.29) Acct: 3.73 (3.71) proj_loss: -0.5575 (-0.5607) time: 0.3610 data: 0.0002
[11-25 21:50:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:34 tlr: 0.0002 tnm: 0.32 Lm: 6.958 (6.960) Lt: 6.287 (6.293) Accm: 2.39 (2.39) Acct: 3.76 (3.71) proj_loss: -0.5514 (-0.5523) time: 0.3610 data: 0.0002
[11-25 21:50:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:34 tlr: 0.0002 tnm: 0.32 Lm: 6.944 (6.929) Lt: 6.220 (6.216) Accm: 2.45 (2.45) Acct: 3.80 (3.76) proj_loss: -0.5491 (-0.5482) time: 0.3610 data: 0.0002
[11-25 21:50:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:34 tlr: 0.0002 tnm: 0.32 Lm: 6.956 (6.936) Lt: 6.256 (6.255) Accm: 2.36 (2.38) Acct: 3.80 (3.82) proj_loss: -0.5562 (-0.5532) time: 0.3610 data: 0.0003
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.966 (6.943) Lt: 6.272 (6.258) Accm: 2.34 (2.37) Acct: 3.81 (3.82) proj_loss: -0.5570 (-0.5551) time: 0.3641 data: 0.0018
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:10:27 (0.376 s / it)
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.947 (6.936) Lt: 6.225 (6.224) Accm: 2.48 (2.46) Acct: 3.82 (3.77) proj_loss: -0.5497 (-0.5508) time: 0.3641 data: 0.0021
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.949 (6.956) Lt: 6.267 (6.285) Accm: 2.44 (2.41) Acct: 3.79 (3.77) proj_loss: -0.5539 (-0.5527) time: 0.3641 data: 0.0018
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 7.020 (7.012) Lt: 6.349 (6.340) Accm: 2.16 (2.22) Acct: 3.55 (3.55) proj_loss: -0.5600 (-0.5615) time: 0.3641 data: 0.0018
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:10:27 (0.376 s / it)
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:10:27 (0.376 s / it)
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:10:27 (0.376 s / it)
[11-25 21:53:38] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.958 (6.962), Lt: 6.283 (6.288), Acc m&t: 2.30 3.61, Remain: 1 day, 22:25:10, Finish: 2024-11-27 04:18
[11-25 21:53:38] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.958 (6.962), Lt: 6.283 (6.288), Acc m&t: 2.30 3.61, Remain: 1 day, 22:24:32, Finish: 2024-11-27 04:18
[11-25 21:53:38] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.958 (6.962), Lt: 6.283 (6.288), Acc m&t: 2.30 3.61, Remain: 1 day, 22:25:35, Finish: 2024-11-27 04:19
[11-25 21:53:38] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.958 (6.962), Lt: 6.283 (6.288), Acc m&t: 2.30 3.61, Remain: 1 day, 22:25:15, Finish: 2024-11-27 04:18
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:09:39 tlr: 0.0002 tnm: 0.33 Lm: 7.044 (7.044) Lt: 6.348 (6.348) Accm: 2.08 (2.08) Acct: 3.31 (3.31) proj_loss: -0.5544 (-0.5544) time: 0.3472 data: 0.0003
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:09:40 tlr: 0.0002 tnm: 0.33 Lm: 6.925 (6.925) Lt: 6.194 (6.194) Accm: 2.52 (2.52) Acct: 3.75 (3.75) proj_loss: -0.5532 (-0.5532) time: 0.3479 data: 0.0004
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:09:41 tlr: 0.0002 tnm: 0.33 Lm: 6.860 (6.860) Lt: 6.144 (6.144) Accm: 2.43 (2.43) Acct: 4.01 (4.01) proj_loss: -0.5466 (-0.5466) time: 0.3482 data: 0.0003
[11-25 21:53:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:09:49 tlr: 0.0002 tnm: 0.33 Lm: 6.951 (6.951) Lt: 6.322 (6.322) Accm: 2.34 (2.34) Acct: 3.56 (3.56) proj_loss: -0.5724 (-0.5724) time: 0.3532 data: 0.0004
[11-25 21:56:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.36 Lm: 6.982 (6.982) Lt: 6.342 (6.342) Accm: 2.31 (2.31) Acct: 3.58 (3.58) proj_loss: -0.5660 (-0.5660) time: 0.3618 data: 0.0003
[11-25 21:56:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.36 Lm: 6.917 (6.917) Lt: 6.219 (6.219) Accm: 2.52 (2.52) Acct: 3.82 (3.82) proj_loss: -0.5506 (-0.5506) time: 0.3618 data: 0.0003
[11-25 21:56:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.36 Lm: 6.947 (6.947) Lt: 6.273 (6.273) Accm: 2.25 (2.25) Acct: 3.58 (3.58) proj_loss: -0.5565 (-0.5565) time: 0.3618 data: 0.0003
[11-25 21:56:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.36 Lm: 6.952 (6.952) Lt: 6.257 (6.257) Accm: 2.38 (2.38) Acct: 3.73 (3.73) proj_loss: -0.5551 (-0.5551) time: 0.3618 data: 0.0002
[11-25 21:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.35 Lm: 6.968 (6.957) Lt: 6.269 (6.261) Accm: 2.27 (2.35) Acct: 3.58 (3.68) proj_loss: -0.5544 (-0.5542) time: 0.3636 data: 0.0002
[11-25 21:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.35 Lm: 6.925 (6.945) Lt: 6.243 (6.254) Accm: 2.51 (2.44) Acct: 3.75 (3.80) proj_loss: -0.5532 (-0.5520) time: 0.3636 data: 0.0003
[11-25 21:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.35 Lm: 7.020 (6.972) Lt: 6.362 (6.303) Accm: 2.28 (2.26) Acct: 3.56 (3.58) proj_loss: -0.5492 (-0.5541) time: 0.3636 data: 0.0003
[11-25 21:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.35 Lm: 6.984 (6.983) Lt: 6.322 (6.321) Accm: 2.28 (2.22) Acct: 3.56 (3.44) proj_loss: -0.5596 (-0.5582) time: 0.3636 data: 0.0003
[11-25 22:01:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.998 (7.018) Lt: 6.342 (6.353) Accm: 2.17 (2.12) Acct: 3.37 (3.31) proj_loss: -0.5577 (-0.5576) time: 0.3619 data: 0.0003
[11-25 22:01:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.963 (6.974) Lt: 6.284 (6.281) Accm: 2.40 (2.31) Acct: 3.75 (3.63) proj_loss: -0.5541 (-0.5543) time: 0.3619 data: 0.0002
[11-25 22:01:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.981 (6.966) Lt: 6.269 (6.263) Accm: 2.29 (2.33) Acct: 3.63 (3.68) proj_loss: -0.5534 (-0.5526) time: 0.3619 data: 0.0003
[11-25 22:01:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.976 (6.962) Lt: 6.299 (6.286) Accm: 2.36 (2.31) Acct: 3.68 (3.63) proj_loss: -0.5521 (-0.5543) time: 0.3619 data: 0.0007
[11-25 22:03:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.931 (6.945) Lt: 6.237 (6.270) Accm: 2.37 (2.32) Acct: 3.56 (3.62) proj_loss: -0.5534 (-0.5541) time: 0.3627 data: 0.0018
[11-25 22:03:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:03:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 7.000 (6.984) Lt: 6.324 (6.298) Accm: 2.29 (2.27) Acct: 3.75 (3.54) proj_loss: -0.5532 (-0.5501) time: 0.3627 data: 0.0020
[11-25 22:03:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 7.013 (7.022) Lt: 6.362 (6.357) Accm: 2.14 (2.12) Acct: 3.44 (3.34) proj_loss: -0.5558 (-0.5573) time: 0.3627 data: 0.0017
[11-25 22:03:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.993 (6.983) Lt: 6.269 (6.285) Accm: 2.27 (2.28) Acct: 3.58 (3.56) proj_loss: -0.5524 (-0.5524) time: 0.3627 data: 0.0015
[11-25 22:03:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:03:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:03:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:03:40] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.958 (6.968), Lt: 6.283 (6.290), Acc m&t: 2.30 3.61, Remain: 1 day, 22:21:58, Finish: 2024-11-27 04:25
[11-25 22:03:40] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.958 (6.968), Lt: 6.283 (6.290), Acc m&t: 2.30 3.61, Remain: 1 day, 22:19:15, Finish: 2024-11-27 04:22
[11-25 22:03:40] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.958 (6.968), Lt: 6.283 (6.290), Acc m&t: 2.30 3.61, Remain: 1 day, 22:19:14, Finish: 2024-11-27 04:22
[11-25 22:03:40] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.958 (6.968), Lt: 6.283 (6.290), Acc m&t: 2.30 3.61, Remain: 1 day, 22:19:48, Finish: 2024-11-27 04:23
[11-25 22:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:09:49 tlr: 0.0002 tnm: 0.36 Lm: 7.125 (7.125) Lt: 6.465 (6.465) Accm: 1.92 (1.92) Acct: 3.17 (3.17) proj_loss: -0.5560 (-0.5560) time: 0.3532 data: 0.0004
[11-25 22:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:09:41 tlr: 0.0002 tnm: 0.36 Lm: 6.846 (6.846) Lt: 6.184 (6.184) Accm: 2.58 (2.58) Acct: 3.89 (3.89) proj_loss: -0.5525 (-0.5525) time: 0.3483 data: 0.0004
[11-25 22:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:09:49 tlr: 0.0002 tnm: 0.36 Lm: 6.975 (6.975) Lt: 6.231 (6.231) Accm: 2.37 (2.37) Acct: 3.81 (3.81) proj_loss: -0.5641 (-0.5641) time: 0.3532 data: 0.0004
[11-25 22:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:09:40 tlr: 0.0002 tnm: 0.36 Lm: 6.970 (6.970) Lt: 6.314 (6.314) Accm: 2.14 (2.14) Acct: 3.37 (3.37) proj_loss: -0.5676 (-0.5676) time: 0.3479 data: 0.0004
[11-25 22:06:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.33 Lm: 6.889 (6.889) Lt: 6.211 (6.211) Accm: 2.41 (2.41) Acct: 3.82 (3.82) proj_loss: -0.5553 (-0.5553) time: 0.3614 data: 0.0003
[11-25 22:06:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.33 Lm: 6.832 (6.832) Lt: 6.159 (6.159) Accm: 2.65 (2.65) Acct: 4.09 (4.09) proj_loss: -0.5569 (-0.5569) time: 0.3614 data: 0.0003
[11-25 22:06:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.33 Lm: 7.029 (7.029) Lt: 6.354 (6.354) Accm: 2.14 (2.14) Acct: 3.48 (3.48) proj_loss: -0.5506 (-0.5506) time: 0.3614 data: 0.0003
[11-25 22:06:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.33 Lm: 6.931 (6.931) Lt: 6.194 (6.194) Accm: 2.44 (2.44) Acct: 4.05 (4.05) proj_loss: -0.5539 (-0.5539) time: 0.3614 data: 0.0003
[11-25 22:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.36 Lm: 6.975 (6.973) Lt: 6.231 (6.254) Accm: 2.37 (2.30) Acct: 3.81 (3.88) proj_loss: -0.5543 (-0.5540) time: 0.3618 data: 0.0003
[11-25 22:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.36 Lm: 6.893 (6.891) Lt: 6.276 (6.233) Accm: 2.28 (2.37) Acct: 3.37 (3.66) proj_loss: -0.5676 (-0.5614) time: 0.3618 data: 0.0002
[11-25 22:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.36 Lm: 6.934 (6.981) Lt: 6.243 (6.306) Accm: 2.35 (2.27) Acct: 3.79 (3.64) proj_loss: -0.5560 (-0.5597) time: 0.3618 data: 0.0003
[11-25 22:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.36 Lm: 6.817 (6.822) Lt: 6.135 (6.148) Accm: 2.72 (2.68) Acct: 4.12 (4.10) proj_loss: -0.5612 (-0.5594) time: 0.3618 data: 0.0003
[11-25 22:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.33 Lm: 6.832 (6.866) Lt: 6.159 (6.180) Accm: 2.65 (2.59) Acct: 4.00 (3.99) proj_loss: -0.5569 (-0.5521) time: 0.3641 data: 0.0003
[11-25 22:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.33 Lm: 6.881 (6.885) Lt: 6.224 (6.217) Accm: 2.48 (2.50) Acct: 3.82 (3.90) proj_loss: -0.5637 (-0.5610) time: 0.3641 data: 0.0002
[11-25 22:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.33 Lm: 6.926 (6.965) Lt: 6.255 (6.297) Accm: 2.35 (2.29) Acct: 3.72 (3.65) proj_loss: -0.5581 (-0.5599) time: 0.3641 data: 0.0003
[11-25 22:11:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.33 Lm: 7.017 (7.011) Lt: 6.302 (6.313) Accm: 2.19 (2.19) Acct: 3.68 (3.58) proj_loss: -0.5540 (-0.5539) time: 0.3641 data: 0.0003
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.975 (7.002) Lt: 6.263 (6.303) Accm: 2.24 (2.20) Acct: 3.55 (3.57) proj_loss: -0.5543 (-0.5593) time: 0.3623 data: 0.0017
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.846 (6.877) Lt: 6.184 (6.185) Accm: 2.58 (2.56) Acct: 3.94 (3.98) proj_loss: -0.5525 (-0.5516) time: 0.3623 data: 0.0019
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.934 (6.978) Lt: 6.268 (6.321) Accm: 2.35 (2.24) Acct: 3.65 (3.58) proj_loss: -0.5602 (-0.5608) time: 0.3623 data: 0.0017
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.893 (6.913) Lt: 6.276 (6.251) Accm: 2.28 (2.40) Acct: 3.37 (3.74) proj_loss: -0.5599 (-0.5588) time: 0.3623 data: 0.0020
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:13:43] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.956 (6.956), Lt: 6.280 (6.280), Acc m&t: 2.31 3.61, Remain: 1 day, 22:03:01, Finish: 2024-11-27 04:16
[11-25 22:13:43] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.956 (6.956), Lt: 6.280 (6.280), Acc m&t: 2.31 3.61, Remain: 1 day, 22:03:47, Finish: 2024-11-27 04:17
[11-25 22:13:43] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.956 (6.956), Lt: 6.280 (6.280), Acc m&t: 2.31 3.61, Remain: 1 day, 22:02:53, Finish: 2024-11-27 04:16
[11-25 22:13:43] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.956 (6.956), Lt: 6.280 (6.280), Acc m&t: 2.31 3.61, Remain: 1 day, 22:01:26, Finish: 2024-11-27 04:15
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:09:33 tlr: 0.0002 tnm: 0.33 Lm: 6.957 (6.957) Lt: 6.270 (6.270) Accm: 2.45 (2.45) Acct: 3.75 (3.75) proj_loss: -0.5500 (-0.5500) time: 0.3438 data: 0.0003
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:09:35 tlr: 0.0002 tnm: 0.33 Lm: 6.979 (6.979) Lt: 6.325 (6.325) Accm: 2.07 (2.07) Acct: 3.10 (3.10) proj_loss: -0.5812 (-0.5812) time: 0.3445 data: 0.0003
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:09:36 tlr: 0.0002 tnm: 0.33 Lm: 6.919 (6.919) Lt: 6.241 (6.241) Accm: 2.53 (2.53) Acct: 3.99 (3.99) proj_loss: -0.5415 (-0.5415) time: 0.3456 data: 0.0003
[11-25 22:13:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:09:35 tlr: 0.0002 tnm: 0.33 Lm: 7.045 (7.045) Lt: 6.381 (6.381) Accm: 2.00 (2.00) Acct: 3.19 (3.19) proj_loss: -0.5613 (-0.5613) time: 0.3447 data: 0.0003
[11-25 22:16:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.35 Lm: 6.996 (6.996) Lt: 6.324 (6.324) Accm: 2.16 (2.16) Acct: 3.37 (3.37) proj_loss: -0.5568 (-0.5568) time: 0.3604 data: 0.0003
[11-25 22:16:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.35 Lm: 6.945 (6.945) Lt: 6.249 (6.249) Accm: 2.40 (2.40) Acct: 3.88 (3.88) proj_loss: -0.5421 (-0.5421) time: 0.3605 data: 0.0003
[11-25 22:16:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.35 Lm: 6.971 (6.971) Lt: 6.312 (6.312) Accm: 2.15 (2.15) Acct: 3.30 (3.30) proj_loss: -0.5719 (-0.5719) time: 0.3605 data: 0.0002
[11-25 22:16:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.35 Lm: 7.013 (7.013) Lt: 6.311 (6.311) Accm: 2.21 (2.21) Acct: 3.41 (3.41) proj_loss: -0.5516 (-0.5516) time: 0.3605 data: 0.0002
[11-25 22:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.34 Lm: 6.957 (6.951) Lt: 6.270 (6.264) Accm: 2.45 (2.37) Acct: 3.75 (3.56) proj_loss: -0.5532 (-0.5581) time: 0.4453 data: 0.0002
[11-25 22:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.34 Lm: 6.964 (6.938) Lt: 6.298 (6.276) Accm: 2.24 (2.27) Acct: 3.50 (3.46) proj_loss: -0.5650 (-0.5696) time: 0.4453 data: 0.0002
[11-25 22:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.34 Lm: 6.971 (6.966) Lt: 6.257 (6.279) Accm: 2.27 (2.35) Acct: 3.77 (3.82) proj_loss: -0.5427 (-0.5460) time: 0.4453 data: 0.0003
[11-25 22:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:03 tlr: 0.0002 tnm: 0.34 Lm: 6.947 (6.979) Lt: 6.297 (6.315) Accm: 2.31 (2.23) Acct: 3.46 (3.40) proj_loss: -0.5613 (-0.5632) time: 0.4453 data: 0.0003
[11-25 22:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:38 tlr: 0.0002 tnm: 0.35 Lm: 6.946 (6.964) Lt: 6.282 (6.297) Accm: 2.34 (2.35) Acct: 3.51 (3.60) proj_loss: -0.5619 (-0.5630) time: 0.4025 data: 0.0003
[11-25 22:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:38 tlr: 0.0002 tnm: 0.35 Lm: 6.892 (6.906) Lt: 6.220 (6.201) Accm: 2.57 (2.48) Acct: 3.81 (3.79) proj_loss: -0.5516 (-0.5544) time: 0.4025 data: 0.0002
[11-25 22:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:38 tlr: 0.0002 tnm: 0.35 Lm: 6.928 (6.927) Lt: 6.251 (6.251) Accm: 2.36 (2.36) Acct: 3.63 (3.66) proj_loss: -0.5716 (-0.5718) time: 0.4025 data: 0.0003
[11-25 22:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:38 tlr: 0.0002 tnm: 0.35 Lm: 6.989 (6.977) Lt: 6.298 (6.297) Accm: 2.25 (2.27) Acct: 3.74 (3.64) proj_loss: -0.5482 (-0.5512) time: 0.4025 data: 0.0003
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.971 (6.971) Lt: 6.257 (6.286) Accm: 2.27 (2.28) Acct: 3.77 (3.67) proj_loss: -0.5538 (-0.5535) time: 0.3628 data: 0.0017
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.946 (6.914) Lt: 6.270 (6.223) Accm: 2.45 (2.43) Acct: 3.75 (3.77) proj_loss: -0.5532 (-0.5569) time: 0.3628 data: 0.0018
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.937 (6.929) Lt: 6.281 (6.257) Accm: 2.37 (2.36) Acct: 3.77 (3.73) proj_loss: -0.5650 (-0.5688) time: 0.3629 data: 0.0019
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.944 (6.943) Lt: 6.266 (6.271) Accm: 2.37 (2.38) Acct: 3.56 (3.67) proj_loss: -0.5613 (-0.5602) time: 0.3628 data: 0.0016
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:10:28 (0.376 s / it)
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:10:28 (0.376 s / it)
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:10:28 (0.376 s / it)
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:10:28 (0.376 s / it)
[11-25 22:24:11] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.956 (6.956), Lt: 6.280 (6.282), Acc m&t: 2.32 3.63, Remain: 1 day, 21:56:31, Finish: 2024-11-27 04:20
[11-25 22:24:11] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.956 (6.956), Lt: 6.280 (6.282), Acc m&t: 2.32 3.63, Remain: 1 day, 21:56:18, Finish: 2024-11-27 04:20
[11-25 22:24:11] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.956 (6.956), Lt: 6.280 (6.282), Acc m&t: 2.32 3.63, Remain: 1 day, 21:55:25, Finish: 2024-11-27 04:19
[11-25 22:24:11] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.956 (6.956), Lt: 6.280 (6.282), Acc m&t: 2.32 3.63, Remain: 1 day, 21:54:57, Finish: 2024-11-27 04:19
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:09:47 tlr: 0.0002 tnm: 0.36 Lm: 6.888 (6.888) Lt: 6.181 (6.181) Accm: 2.48 (2.48) Acct: 3.77 (3.77) proj_loss: -0.5627 (-0.5627) time: 0.3522 data: 0.0003
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:09:47 tlr: 0.0002 tnm: 0.36 Lm: 7.022 (7.022) Lt: 6.363 (6.363) Accm: 2.07 (2.07) Acct: 3.41 (3.41) proj_loss: -0.5521 (-0.5521) time: 0.3522 data: 0.0003
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:09:49 tlr: 0.0002 tnm: 0.36 Lm: 6.988 (6.988) Lt: 6.311 (6.311) Accm: 2.29 (2.29) Acct: 3.65 (3.65) proj_loss: -0.5520 (-0.5520) time: 0.3533 data: 0.0004
[11-25 22:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:09:47 tlr: 0.0002 tnm: 0.36 Lm: 6.916 (6.916) Lt: 6.209 (6.209) Accm: 2.44 (2.44) Acct: 3.68 (3.68) proj_loss: -0.5398 (-0.5398) time: 0.3518 data: 0.0004
[11-25 22:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.879 (6.879) Lt: 6.179 (6.179) Accm: 2.49 (2.49) Acct: 3.85 (3.85) proj_loss: -0.5477 (-0.5477) time: 0.3609 data: 0.0003
[11-25 22:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.985 (6.985) Lt: 6.310 (6.310) Accm: 2.26 (2.26) Acct: 3.58 (3.58) proj_loss: -0.5510 (-0.5510) time: 0.3609 data: 0.0002
[11-25 22:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.961 (6.961) Lt: 6.291 (6.291) Accm: 2.17 (2.17) Acct: 3.46 (3.46) proj_loss: -0.5623 (-0.5623) time: 0.3609 data: 0.0003
[11-25 22:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.34 Lm: 6.936 (6.936) Lt: 6.236 (6.236) Accm: 2.33 (2.33) Acct: 3.59 (3.59) proj_loss: -0.5671 (-0.5671) time: 0.3609 data: 0.0002
[11-25 22:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.36 Lm: 6.983 (6.957) Lt: 6.292 (6.280) Accm: 2.29 (2.31) Acct: 3.41 (3.46) proj_loss: -0.5715 (-0.5717) time: 0.3603 data: 0.0002
[11-25 22:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.36 Lm: 6.901 (6.940) Lt: 6.219 (6.252) Accm: 2.28 (2.24) Acct: 3.51 (3.60) proj_loss: -0.5543 (-0.5597) time: 0.3603 data: 0.0003
[11-25 22:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.36 Lm: 6.988 (7.039) Lt: 6.311 (6.368) Accm: 2.23 (2.13) Acct: 3.51 (3.39) proj_loss: -0.5520 (-0.5521) time: 0.3603 data: 0.0002
[11-25 22:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.36 Lm: 6.916 (6.897) Lt: 6.209 (6.190) Accm: 2.44 (2.46) Acct: 3.72 (3.81) proj_loss: -0.5556 (-0.5575) time: 0.3603 data: 0.0003
[11-25 22:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.924 (6.920) Lt: 6.211 (6.231) Accm: 2.42 (2.39) Acct: 3.70 (3.69) proj_loss: -0.5569 (-0.5577) time: 0.3592 data: 0.0003
[11-25 22:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.956 (6.949) Lt: 6.293 (6.283) Accm: 2.37 (2.35) Acct: 3.56 (3.53) proj_loss: -0.5689 (-0.5703) time: 0.3591 data: 0.0002
[11-25 22:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 7.004 (7.034) Lt: 6.355 (6.375) Accm: 2.19 (2.13) Acct: 3.37 (3.35) proj_loss: -0.5531 (-0.5544) time: 0.3591 data: 0.0003
[11-25 22:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.925 (6.942) Lt: 6.236 (6.252) Accm: 2.28 (2.25) Acct: 3.46 (3.55) proj_loss: -0.5532 (-0.5556) time: 0.3591 data: 0.0003
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.950 (6.955) Lt: 6.253 (6.272) Accm: 2.27 (2.24) Acct: 3.41 (3.52) proj_loss: -0.5543 (-0.5571) time: 0.3628 data: 0.0016
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.998 (7.027) Lt: 6.394 (6.379) Accm: 2.23 (2.16) Acct: 3.51 (3.39) proj_loss: -0.5542 (-0.5578) time: 0.3628 data: 0.0017
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.983 (6.959) Lt: 6.294 (6.287) Accm: 2.29 (2.31) Acct: 3.41 (3.49) proj_loss: -0.5670 (-0.5697) time: 0.3628 data: 0.0015
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.916 (6.911) Lt: 6.212 (6.228) Accm: 2.44 (2.40) Acct: 3.72 (3.71) proj_loss: -0.5556 (-0.5553) time: 0.3628 data: 0.0018
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:02 (0.361 s / it)
[11-25 22:34:14] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.956 (6.962), Lt: 6.280 (6.287), Acc m&t: 2.32 3.63, Remain: 1 day, 21:47:46, Finish: 2024-11-27 04:22
[11-25 22:34:14] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.956 (6.962), Lt: 6.280 (6.287), Acc m&t: 2.32 3.63, Remain: 1 day, 21:46:53, Finish: 2024-11-27 04:21
[11-25 22:34:14] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.956 (6.962), Lt: 6.280 (6.287), Acc m&t: 2.32 3.63, Remain: 1 day, 21:46:18, Finish: 2024-11-27 04:20
[11-25 22:34:14] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.956 (6.962), Lt: 6.280 (6.287), Acc m&t: 2.32 3.63, Remain: 1 day, 21:46:12, Finish: 2024-11-27 04:20
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:09:54 tlr: 0.0002 tnm: 0.34 Lm: 7.038 (7.038) Lt: 6.409 (6.409) Accm: 2.07 (2.07) Acct: 3.34 (3.34) proj_loss: -0.5812 (-0.5812) time: 0.3563 data: 0.0003
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:09:56 tlr: 0.0002 tnm: 0.34 Lm: 6.893 (6.893) Lt: 6.164 (6.164) Accm: 2.37 (2.37) Acct: 3.68 (3.68) proj_loss: -0.5448 (-0.5448) time: 0.3575 data: 0.0004
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:09:57 tlr: 0.0002 tnm: 0.34 Lm: 6.930 (6.930) Lt: 6.238 (6.238) Accm: 2.41 (2.41) Acct: 3.81 (3.81) proj_loss: -0.5795 (-0.5795) time: 0.3578 data: 0.0004
[11-25 22:34:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:09:58 tlr: 0.0002 tnm: 0.34 Lm: 7.125 (7.125) Lt: 6.451 (6.451) Accm: 2.00 (2.00) Acct: 3.24 (3.24) proj_loss: -0.5460 (-0.5460) time: 0.3583 data: 0.0004
[11-25 22:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.36 Lm: 7.094 (7.094) Lt: 6.422 (6.422) Accm: 2.06 (2.06) Acct: 3.25 (3.25) proj_loss: -0.5556 (-0.5556) time: 0.3634 data: 0.0003
[11-25 22:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.36 Lm: 6.926 (6.926) Lt: 6.216 (6.216) Accm: 2.30 (2.30) Acct: 3.61 (3.61) proj_loss: -0.5546 (-0.5546) time: 0.3634 data: 0.0003
[11-25 22:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.36 Lm: 7.041 (7.041) Lt: 6.388 (6.388) Accm: 2.15 (2.15) Acct: 3.43 (3.43) proj_loss: -0.5768 (-0.5768) time: 0.3634 data: 0.0002
[11-25 22:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:32 tlr: 0.0002 tnm: 0.36 Lm: 6.935 (6.935) Lt: 6.215 (6.215) Accm: 2.39 (2.39) Acct: 3.87 (3.87) proj_loss: -0.5698 (-0.5698) time: 0.3634 data: 0.0003
[11-25 22:39:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.34 Lm: 6.930 (6.923) Lt: 6.203 (6.211) Accm: 2.41 (2.46) Acct: 3.93 (3.94) proj_loss: -0.5617 (-0.5671) time: 0.3590 data: 0.0003
[11-25 22:39:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.34 Lm: 7.038 (7.037) Lt: 6.379 (6.385) Accm: 2.24 (2.22) Acct: 3.53 (3.51) proj_loss: -0.5730 (-0.5756) time: 0.3590 data: 0.0002
[11-25 22:39:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.34 Lm: 7.063 (7.047) Lt: 6.392 (6.373) Accm: 2.13 (2.12) Acct: 3.25 (3.39) proj_loss: -0.5651 (-0.5588) time: 0.3590 data: 0.0002
[11-25 22:39:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.34 Lm: 6.960 (6.942) Lt: 6.268 (6.242) Accm: 2.28 (2.29) Acct: 3.53 (3.54) proj_loss: -0.5576 (-0.5556) time: 0.3590 data: 0.0003
[11-25 22:41:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 7.033 (7.007) Lt: 6.373 (6.347) Accm: 2.24 (2.22) Acct: 3.52 (3.51) proj_loss: -0.5727 (-0.5702) time: 0.3604 data: 0.0002
[11-25 22:41:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 7.013 (7.027) Lt: 6.355 (6.359) Accm: 2.19 (2.18) Acct: 3.38 (3.42) proj_loss: -0.5648 (-0.5602) time: 0.3604 data: 0.0003
[11-25 22:41:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.935 (6.965) Lt: 6.220 (6.270) Accm: 2.39 (2.34) Acct: 3.87 (3.73) proj_loss: -0.5609 (-0.5613) time: 0.3604 data: 0.0003
[11-25 22:41:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.967 (6.961) Lt: 6.281 (6.268) Accm: 2.25 (2.26) Acct: 3.46 (3.49) proj_loss: -0.5604 (-0.5575) time: 0.3605 data: 0.0003
[11-25 22:44:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.974 (6.976) Lt: 6.294 (6.284) Accm: 2.27 (2.26) Acct: 3.53 (3.55) proj_loss: -0.5576 (-0.5556) time: 0.3601 data: 0.0016
[11-25 22:44:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:01 (0.360 s / it)
[11-25 22:44:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 7.029 (7.001) Lt: 6.366 (6.341) Accm: 2.24 (2.20) Acct: 3.51 (3.37) proj_loss: -0.5725 (-0.5664) time: 0.3601 data: 0.0016
[11-25 22:44:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.964 (6.985) Lt: 6.319 (6.311) Accm: 2.25 (2.25) Acct: 3.51 (3.57) proj_loss: -0.5651 (-0.5614) time: 0.3601 data: 0.0016
[11-25 22:44:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.930 (6.941) Lt: 6.203 (6.243) Accm: 2.41 (2.39) Acct: 3.81 (3.74) proj_loss: -0.5617 (-0.5638) time: 0.3601 data: 0.0019
[11-25 22:44:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:01 (0.360 s / it)
[11-25 22:44:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:01 (0.360 s / it)
[11-25 22:44:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:01 (0.360 s / it)
[11-25 22:46:20] (home/user/VAR/trainer.py, line 114)=> FID: 5.858238653206286
[11-25 22:46:20] (/home/user/VAR/train.py , line 259)=> [*] [ep79] (val 50000) Lm: 6.9553, Lt: 6.2780, Acc m&t: 2.31 3.63, Val cost: 124.79s
[11-25 22:46:20] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-25 22:46:35] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.955 (6.955), Lt: 6.278 (6.278), Acc m&t: 2.32 3.63, Remain: 1 day, 21:20:55, Finish: 2024-11-27 04:05
[11-25 22:46:35] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.955 (6.955), Lt: 6.278 (6.278), Acc m&t: 2.32 3.63, Remain: 1 day, 21:22:55, Finish: 2024-11-27 04:07
[11-25 22:46:35] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.955 (6.955), Lt: 6.278 (6.278), Acc m&t: 2.32 3.63, Remain: 1 day, 21:23:15, Finish: 2024-11-27 04:07
[11-25 22:46:35] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.955 (6.955), Lt: 6.278 (6.278), Acc m&t: 2.32 3.63, Remain: 1 day, 21:21:50, Finish: 2024-11-27 04:06
[11-25 22:46:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:09:52 tlr: 0.0002 tnm: 0.38 Lm: 6.973 (6.973) Lt: 6.285 (6.285) Accm: 2.35 (2.35) Acct: 3.50 (3.50) proj_loss: -0.5542 (-0.5542) time: 0.3553 data: 0.0003
[11-25 22:46:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:09:53 tlr: 0.0002 tnm: 0.38 Lm: 6.944 (6.944) Lt: 6.247 (6.247) Accm: 2.35 (2.35) Acct: 3.72 (3.72) proj_loss: -0.5292 (-0.5292) time: 0.3557 data: 0.0003
[11-25 22:46:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:09:44 tlr: 0.0002 tnm: 0.38 Lm: 6.979 (6.979) Lt: 6.314 (6.314) Accm: 2.21 (2.21) Acct: 3.62 (3.62) proj_loss: -0.5725 (-0.5725) time: 0.3504 data: 0.0004
[11-25 22:46:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:09:54 tlr: 0.0002 tnm: 0.38 Lm: 7.021 (7.021) Lt: 6.390 (6.390) Accm: 1.79 (1.79) Acct: 2.65 (2.65) proj_loss: -0.5781 (-0.5781) time: 0.3563 data: 0.0004
[11-25 22:49:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.32 Lm: 6.994 (6.994) Lt: 6.361 (6.361) Accm: 2.00 (2.00) Acct: 3.06 (3.06) proj_loss: -0.5756 (-0.5756) time: 0.3616 data: 0.0003
[11-25 22:49:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.32 Lm: 6.950 (6.950) Lt: 6.271 (6.271) Accm: 2.33 (2.33) Acct: 3.48 (3.48) proj_loss: -0.5547 (-0.5547) time: 0.3616 data: 0.0002
[11-25 22:49:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.32 Lm: 6.964 (6.964) Lt: 6.289 (6.289) Accm: 2.25 (2.25) Acct: 3.62 (3.62) proj_loss: -0.5492 (-0.5492) time: 0.3616 data: 0.0003
[11-25 22:49:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.32 Lm: 6.978 (6.978) Lt: 6.296 (6.296) Accm: 2.17 (2.17) Acct: 3.56 (3.56) proj_loss: -0.5728 (-0.5728) time: 0.3616 data: 0.0003
[11-25 22:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:13 tlr: 0.0002 tnm: 0.33 Lm: 6.979 (7.014) Lt: 6.314 (6.346) Accm: 2.13 (2.15) Acct: 3.51 (3.49) proj_loss: -0.5725 (-0.5708) time: 0.4515 data: 0.0003
[11-25 22:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:13 tlr: 0.0002 tnm: 0.33 Lm: 6.973 (7.016) Lt: 6.285 (6.357) Accm: 2.31 (2.21) Acct: 3.46 (3.33) proj_loss: -0.5542 (-0.5532) time: 0.4515 data: 0.0003
[11-25 22:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:13 tlr: 0.0002 tnm: 0.33 Lm: 6.983 (6.971) Lt: 6.332 (6.304) Accm: 2.15 (2.17) Acct: 3.53 (3.43) proj_loss: -0.5691 (-0.5564) time: 0.4515 data: 0.0002
[11-25 22:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:13 tlr: 0.0002 tnm: 0.33 Lm: 6.966 (6.966) Lt: 6.332 (6.328) Accm: 2.21 (2.09) Acct: 3.32 (3.15) proj_loss: -0.5731 (-0.5739) time: 0.4515 data: 0.0003
[11-25 22:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.35 Lm: 6.994 (6.985) Lt: 6.353 (6.340) Accm: 2.06 (2.05) Acct: 3.31 (3.19) proj_loss: -0.5738 (-0.5740) time: 0.3602 data: 0.0003
[11-25 22:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.35 Lm: 6.974 (6.970) Lt: 6.313 (6.302) Accm: 2.09 (2.14) Acct: 3.34 (3.36) proj_loss: -0.5656 (-0.5579) time: 0.3602 data: 0.0003
[11-25 22:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.35 Lm: 6.978 (6.990) Lt: 6.296 (6.308) Accm: 2.17 (2.25) Acct: 3.56 (3.61) proj_loss: -0.5696 (-0.5671) time: 0.3602 data: 0.0003
[11-25 22:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.35 Lm: 6.976 (7.006) Lt: 6.302 (6.347) Accm: 2.28 (2.22) Acct: 3.48 (3.38) proj_loss: -0.5546 (-0.5536) time: 0.3602 data: 0.0003
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.973 (6.973) Lt: 6.285 (6.305) Accm: 2.31 (2.26) Acct: 3.50 (3.46) proj_loss: -0.5542 (-0.5522) time: 0.3610 data: 0.0014
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:10:29 (0.377 s / it)
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.966 (6.967) Lt: 6.294 (6.298) Accm: 2.15 (2.15) Acct: 3.31 (3.35) proj_loss: -0.5691 (-0.5628) time: 0.3610 data: 0.0016
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.979 (6.996) Lt: 6.291 (6.305) Accm: 2.13 (2.22) Acct: 3.51 (3.55) proj_loss: -0.5668 (-0.5643) time: 0.3610 data: 0.0015
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.34 Lm: 6.966 (6.950) Lt: 6.332 (6.283) Accm: 2.21 (2.20) Acct: 3.32 (3.47) proj_loss: -0.5731 (-0.5723) time: 0.3610 data: 0.0019
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:10:29 (0.377 s / it)
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:10:29 (0.377 s / it)
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:10:29 (0.377 s / it)
[11-25 22:57:04] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.955 (6.962), Lt: 6.278 (6.288), Acc m&t: 2.32 3.63, Remain: 1 day, 21:14:03, Finish: 2024-11-27 04:11
[11-25 22:57:04] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.955 (6.962), Lt: 6.278 (6.288), Acc m&t: 2.32 3.63, Remain: 1 day, 21:10:10, Finish: 2024-11-27 04:07
[11-25 22:57:04] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.955 (6.962), Lt: 6.278 (6.288), Acc m&t: 2.32 3.63, Remain: 1 day, 21:11:24, Finish: 2024-11-27 04:08
[11-25 22:57:04] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.955 (6.962), Lt: 6.278 (6.288), Acc m&t: 2.32 3.63, Remain: 1 day, 21:12:31, Finish: 2024-11-27 04:09
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:09:54 tlr: 0.0002 tnm: 0.39 Lm: 6.891 (6.891) Lt: 6.254 (6.254) Accm: 2.45 (2.45) Acct: 3.79 (3.79) proj_loss: -0.5581 (-0.5581) time: 0.3561 data: 0.0004
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:09:28 tlr: 0.0002 tnm: 0.39 Lm: 6.859 (6.859) Lt: 6.184 (6.184) Accm: 2.56 (2.56) Acct: 3.87 (3.87) proj_loss: -0.5593 (-0.5593) time: 0.3406 data: 0.0003
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:09:32 tlr: 0.0002 tnm: 0.39 Lm: 6.994 (6.994) Lt: 6.294 (6.294) Accm: 2.23 (2.23) Acct: 3.46 (3.46) proj_loss: -0.5600 (-0.5600) time: 0.3427 data: 0.0003
[11-25 22:57:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:09:33 tlr: 0.0002 tnm: 0.39 Lm: 6.838 (6.838) Lt: 6.138 (6.138) Accm: 2.69 (2.69) Acct: 4.15 (4.15) proj_loss: -0.5597 (-0.5597) time: 0.3438 data: 0.0004
[11-25 22:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.37 Lm: 6.931 (6.931) Lt: 6.264 (6.264) Accm: 2.37 (2.37) Acct: 3.58 (3.58) proj_loss: -0.5666 (-0.5666) time: 0.4063 data: 0.0003
[11-25 22:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.37 Lm: 6.918 (6.918) Lt: 6.216 (6.216) Accm: 2.42 (2.42) Acct: 3.71 (3.71) proj_loss: -0.5585 (-0.5585) time: 0.4063 data: 0.0002
[11-25 22:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.37 Lm: 6.984 (6.984) Lt: 6.332 (6.332) Accm: 2.23 (2.23) Acct: 3.41 (3.41) proj_loss: -0.5556 (-0.5556) time: 0.4063 data: 0.0003
[11-25 22:59:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:07:34 tlr: 0.0002 tnm: 0.37 Lm: 6.941 (6.941) Lt: 6.285 (6.285) Accm: 2.36 (2.36) Acct: 3.73 (3.73) proj_loss: -0.5507 (-0.5507) time: 0.4063 data: 0.0002
[11-25 23:02:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.35 Lm: 6.948 (6.943) Lt: 6.312 (6.294) Accm: 2.37 (2.36) Acct: 3.75 (3.74) proj_loss: -0.5581 (-0.5558) time: 0.3580 data: 0.0002
[11-25 23:02:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.35 Lm: 6.977 (6.957) Lt: 6.249 (6.261) Accm: 2.28 (2.37) Acct: 3.55 (3.62) proj_loss: -0.5578 (-0.5577) time: 0.3580 data: 0.0003
[11-25 23:02:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.35 Lm: 6.973 (6.978) Lt: 6.294 (6.312) Accm: 2.23 (2.21) Acct: 3.36 (3.39) proj_loss: -0.5513 (-0.5511) time: 0.3580 data: 0.0003
[11-25 23:02:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.35 Lm: 6.852 (6.905) Lt: 6.169 (6.232) Accm: 2.47 (2.40) Acct: 3.70 (3.62) proj_loss: -0.5735 (-0.5692) time: 0.3580 data: 0.0003
[11-25 23:04:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.845 (6.872) Lt: 6.154 (6.183) Accm: 2.58 (2.49) Acct: 3.93 (3.84) proj_loss: -0.5708 (-0.5689) time: 0.3606 data: 0.0003
[11-25 23:04:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.966 (6.956) Lt: 6.229 (6.248) Accm: 2.28 (2.35) Acct: 3.65 (3.65) proj_loss: -0.5584 (-0.5580) time: 0.3606 data: 0.0003
[11-25 23:04:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.969 (6.964) Lt: 6.315 (6.327) Accm: 2.32 (2.28) Acct: 3.71 (3.54) proj_loss: -0.5595 (-0.5571) time: 0.3606 data: 0.0002
[11-25 23:04:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.34 Lm: 6.984 (6.992) Lt: 6.283 (6.295) Accm: 2.21 (2.20) Acct: 3.41 (3.47) proj_loss: -0.5467 (-0.5450) time: 0.3606 data: 0.0003
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.37 Lm: 6.973 (6.977) Lt: 6.271 (6.283) Accm: 2.23 (2.28) Acct: 3.46 (3.58) proj_loss: -0.5509 (-0.5462) time: 0.3611 data: 0.0020
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:02 (0.361 s / it)
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.37 Lm: 6.948 (6.947) Lt: 6.312 (6.298) Accm: 2.37 (2.37) Acct: 3.75 (3.68) proj_loss: -0.5610 (-0.5586) time: 0.3611 data: 0.0018
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.37 Lm: 6.852 (6.911) Lt: 6.169 (6.229) Accm: 2.47 (2.38) Acct: 3.70 (3.70) proj_loss: -0.5680 (-0.5660) time: 0.3611 data: 0.0019
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.37 Lm: 6.955 (6.954) Lt: 6.249 (6.254) Accm: 2.28 (2.33) Acct: 3.67 (3.66) proj_loss: -0.5589 (-0.5593) time: 0.3611 data: 0.0019
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:02 (0.361 s / it)
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:02 (0.361 s / it)
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:02 (0.361 s / it)
[11-25 23:07:07] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.952 (6.952), Lt: 6.278 (6.280), Acc m&t: 2.32 3.63, Remain: 1 day, 21:05:53, Finish: 2024-11-27 04:12
[11-25 23:07:07] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.952 (6.952), Lt: 6.278 (6.280), Acc m&t: 2.32 3.63, Remain: 1 day, 21:05:25, Finish: 2024-11-27 04:12
[11-25 23:07:07] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.952 (6.952), Lt: 6.278 (6.280), Acc m&t: 2.32 3.63, Remain: 1 day, 21:07:08, Finish: 2024-11-27 04:14
[11-25 23:07:07] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.952 (6.952), Lt: 6.278 (6.280), Acc m&t: 2.32 3.63, Remain: 1 day, 21:05:47, Finish: 2024-11-27 04:12
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:09:31 tlr: 0.0002 tnm: 0.33 Lm: 6.887 (6.887) Lt: 6.190 (6.190) Accm: 2.49 (2.49) Acct: 3.96 (3.96) proj_loss: -0.5581 (-0.5581) time: 0.3422 data: 0.0003
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:09:38 tlr: 0.0002 tnm: 0.33 Lm: 6.925 (6.925) Lt: 6.290 (6.290) Accm: 2.42 (2.42) Acct: 3.65 (3.65) proj_loss: -0.5663 (-0.5663) time: 0.3464 data: 0.0003
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:09:30 tlr: 0.0002 tnm: 0.33 Lm: 6.997 (6.997) Lt: 6.363 (6.363) Accm: 2.20 (2.20) Acct: 3.31 (3.31) proj_loss: -0.5584 (-0.5584) time: 0.3419 data: 0.0003
[11-25 23:07:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:09:32 tlr: 0.0002 tnm: 0.33 Lm: 6.881 (6.881) Lt: 6.139 (6.139) Accm: 2.57 (2.57) Acct: 4.08 (4.08) proj_loss: -0.5700 (-0.5700) time: 0.3430 data: 0.0004
[11-25 23:09:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.33 Lm: 6.918 (6.918) Lt: 6.179 (6.179) Accm: 2.47 (2.47) Acct: 3.99 (3.99) proj_loss: -0.5556 (-0.5556) time: 0.3602 data: 0.0003
[11-25 23:09:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.33 Lm: 6.911 (6.911) Lt: 6.204 (6.204) Accm: 2.45 (2.45) Acct: 4.00 (4.00) proj_loss: -0.5594 (-0.5594) time: 0.3602 data: 0.0003
[11-25 23:09:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.33 Lm: 6.996 (6.996) Lt: 6.351 (6.351) Accm: 2.12 (2.12) Acct: 3.28 (3.28) proj_loss: -0.5696 (-0.5696) time: 0.3602 data: 0.0003
[11-25 23:09:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.33 Lm: 6.936 (6.936) Lt: 6.301 (6.301) Accm: 2.29 (2.29) Acct: 3.51 (3.51) proj_loss: -0.5575 (-0.5575) time: 0.3602 data: 0.0002
[11-25 23:12:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.33 Lm: 6.887 (6.920) Lt: 6.240 (6.271) Accm: 2.38 (2.37) Acct: 3.72 (3.66) proj_loss: -0.5566 (-0.5562) time: 0.3598 data: 0.0002
[11-25 23:12:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.33 Lm: 6.934 (6.952) Lt: 6.218 (6.265) Accm: 2.40 (2.31) Acct: 3.96 (3.70) proj_loss: -0.5608 (-0.5607) time: 0.3598 data: 0.0002
[11-25 23:12:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.33 Lm: 6.955 (6.944) Lt: 6.220 (6.236) Accm: 2.37 (2.37) Acct: 3.89 (3.81) proj_loss: -0.5700 (-0.5642) time: 0.3598 data: 0.0003
[11-25 23:12:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:01 tlr: 0.0002 tnm: 0.33 Lm: 6.925 (6.934) Lt: 6.290 (6.263) Accm: 2.42 (2.42) Acct: 3.65 (3.81) proj_loss: -0.5663 (-0.5661) time: 0.3598 data: 0.0003
[11-25 23:14:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.961 (6.950) Lt: 6.332 (6.291) Accm: 2.25 (2.34) Acct: 3.42 (3.65) proj_loss: -0.5627 (-0.5639) time: 0.3596 data: 0.0003
[11-25 23:14:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.930 (6.945) Lt: 6.231 (6.260) Accm: 2.29 (2.28) Acct: 3.68 (3.63) proj_loss: -0.5594 (-0.5554) time: 0.3596 data: 0.0002
[11-25 23:14:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.942 (6.948) Lt: 6.301 (6.298) Accm: 2.33 (2.35) Acct: 3.62 (3.62) proj_loss: -0.5575 (-0.5595) time: 0.3596 data: 0.0002
[11-25 23:14:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.955 (6.947) Lt: 6.245 (6.245) Accm: 2.31 (2.34) Acct: 3.74 (3.76) proj_loss: -0.5695 (-0.5654) time: 0.3596 data: 0.0003
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.955 (6.946) Lt: 6.241 (6.244) Accm: 2.37 (2.35) Acct: 3.67 (3.74) proj_loss: -0.5689 (-0.5633) time: 0.3616 data: 0.0019
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:01 (0.361 s / it)
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.979 (6.954) Lt: 6.346 (6.307) Accm: 2.38 (2.37) Acct: 3.72 (3.69) proj_loss: -0.5584 (-0.5629) time: 0.3616 data: 0.0017
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.934 (6.944) Lt: 6.244 (6.270) Accm: 2.40 (2.30) Acct: 3.94 (3.69) proj_loss: -0.5608 (-0.5586) time: 0.3616 data: 0.0019
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.997 (6.962) Lt: 6.343 (6.301) Accm: 2.22 (2.31) Acct: 3.65 (3.66) proj_loss: -0.5591 (-0.5629) time: 0.3616 data: 0.0016
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:01 (0.361 s / it)
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:01 (0.361 s / it)
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:01 (0.361 s / it)
[11-25 23:17:09] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.942 (6.942), Lt: 6.261 (6.261), Acc m&t: 2.34 3.67, Remain: 1 day, 20:54:24, Finish: 2024-11-27 04:11
[11-25 23:17:09] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.942 (6.942), Lt: 6.261 (6.261), Acc m&t: 2.34 3.67, Remain: 1 day, 20:54:08, Finish: 2024-11-27 04:11
[11-25 23:17:09] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.942 (6.942), Lt: 6.261 (6.261), Acc m&t: 2.34 3.67, Remain: 1 day, 20:55:19, Finish: 2024-11-27 04:12
[11-25 23:17:09] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.942 (6.942), Lt: 6.261 (6.261), Acc m&t: 2.34 3.67, Remain: 1 day, 20:56:06, Finish: 2024-11-27 04:13
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:09:54 tlr: 0.0002 tnm: 0.35 Lm: 6.933 (6.933) Lt: 6.240 (6.240) Accm: 2.27 (2.27) Acct: 3.70 (3.70) proj_loss: -0.5636 (-0.5636) time: 0.3564 data: 0.0003
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:09:55 tlr: 0.0002 tnm: 0.35 Lm: 6.896 (6.896) Lt: 6.203 (6.203) Accm: 2.42 (2.42) Acct: 3.62 (3.62) proj_loss: -0.5669 (-0.5669) time: 0.3567 data: 0.0003
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:12 tlr: 0.0002 tnm: 0.35 Lm: 7.003 (7.003) Lt: 6.328 (6.328) Accm: 2.31 (2.31) Acct: 3.82 (3.82) proj_loss: -0.5574 (-0.5574) time: 0.3671 data: 0.0004
[11-25 23:17:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:09:56 tlr: 0.0002 tnm: 0.35 Lm: 6.731 (6.731) Lt: 5.999 (5.999) Accm: 2.94 (2.94) Acct: 4.77 (4.77) proj_loss: -0.5526 (-0.5526) time: 0.3574 data: 0.0004
[11-25 23:19:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.35 Lm: 6.899 (6.899) Lt: 6.221 (6.221) Accm: 2.36 (2.36) Acct: 3.70 (3.70) proj_loss: -0.5550 (-0.5550) time: 0.4446 data: 0.0003
[11-25 23:19:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.35 Lm: 6.955 (6.955) Lt: 6.264 (6.264) Accm: 2.16 (2.16) Acct: 3.34 (3.34) proj_loss: -0.5530 (-0.5530) time: 0.4446 data: 0.0002
[11-25 23:19:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.35 Lm: 6.916 (6.916) Lt: 6.235 (6.235) Accm: 2.42 (2.42) Acct: 3.57 (3.57) proj_loss: -0.5699 (-0.5699) time: 0.4446 data: 0.0002
[11-25 23:19:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:38 tlr: 0.0002 tnm: 0.35 Lm: 7.015 (7.015) Lt: 6.374 (6.374) Accm: 2.27 (2.27) Acct: 3.56 (3.56) proj_loss: -0.5597 (-0.5597) time: 0.4446 data: 0.0002
[11-25 23:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:23 tlr: 0.0002 tnm: 0.32 Lm: 7.003 (6.979) Lt: 6.328 (6.309) Accm: 2.31 (2.29) Acct: 3.72 (3.62) proj_loss: -0.5601 (-0.5599) time: 0.4521 data: 0.0003
[11-25 23:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:23 tlr: 0.0002 tnm: 0.32 Lm: 6.936 (6.923) Lt: 6.266 (6.253) Accm: 2.42 (2.33) Acct: 3.53 (3.53) proj_loss: -0.5669 (-0.5661) time: 0.4521 data: 0.0003
[11-25 23:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:23 tlr: 0.0002 tnm: 0.32 Lm: 6.977 (6.978) Lt: 6.288 (6.291) Accm: 2.27 (2.22) Acct: 3.46 (3.38) proj_loss: -0.5425 (-0.5479) time: 0.4521 data: 0.0003
[11-25 23:22:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:23 tlr: 0.0002 tnm: 0.32 Lm: 6.955 (6.918) Lt: 6.262 (6.235) Accm: 2.48 (2.40) Acct: 3.87 (3.76) proj_loss: -0.5547 (-0.5549) time: 0.4521 data: 0.0003
[11-25 23:25:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.34 Lm: 6.998 (6.949) Lt: 6.301 (6.261) Accm: 2.33 (2.34) Acct: 3.67 (3.68) proj_loss: -0.5557 (-0.5554) time: 0.3585 data: 0.0003
[11-25 23:25:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.34 Lm: 6.916 (6.915) Lt: 6.235 (6.228) Accm: 2.42 (2.36) Acct: 3.57 (3.66) proj_loss: -0.5627 (-0.5603) time: 0.3585 data: 0.0002
[11-25 23:25:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.34 Lm: 7.000 (6.993) Lt: 6.317 (6.308) Accm: 2.26 (2.23) Acct: 3.50 (3.42) proj_loss: -0.5530 (-0.5525) time: 0.3585 data: 0.0003
[11-25 23:25:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.34 Lm: 6.955 (6.960) Lt: 6.295 (6.297) Accm: 2.32 (2.34) Acct: 3.74 (3.65) proj_loss: -0.5611 (-0.5616) time: 0.3585 data: 0.0003
[11-25 23:27:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.940 (6.956) Lt: 6.294 (6.297) Accm: 2.31 (2.30) Acct: 3.72 (3.58) proj_loss: -0.5601 (-0.5587) time: 0.3605 data: 0.0028
[11-25 23:27:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:28 (0.377 s / it)
[11-25 23:27:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.896 (6.892) Lt: 6.203 (6.203) Accm: 2.42 (2.43) Acct: 3.62 (3.75) proj_loss: -0.5591 (-0.5601) time: 0.3605 data: 0.0018
[11-25 23:27:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 7.023 (6.999) Lt: 6.346 (6.319) Accm: 2.27 (2.24) Acct: 3.50 (3.44) proj_loss: -0.5494 (-0.5519) time: 0.3605 data: 0.0015
[11-25 23:27:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.985 (6.956) Lt: 6.295 (6.268) Accm: 2.27 (2.33) Acct: 3.46 (3.59) proj_loss: -0.5568 (-0.5587) time: 0.3605 data: 0.0016
[11-25 23:27:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:28 (0.377 s / it)
[11-25 23:27:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:28 (0.377 s / it)
[11-25 23:27:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:28 (0.377 s / it)
[11-25 23:27:37] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.942 (6.951), Lt: 6.261 (6.271), Acc m&t: 2.34 3.67, Remain: 1 day, 20:43:40, Finish: 2024-11-27 04:11
[11-25 23:27:37] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.942 (6.951), Lt: 6.261 (6.271), Acc m&t: 2.34 3.67, Remain: 1 day, 20:41:52, Finish: 2024-11-27 04:09
[11-25 23:27:37] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.942 (6.951), Lt: 6.261 (6.271), Acc m&t: 2.34 3.67, Remain: 1 day, 20:42:09, Finish: 2024-11-27 04:09
[11-25 23:27:37] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.942 (6.951), Lt: 6.261 (6.271), Acc m&t: 2.34 3.67, Remain: 1 day, 20:43:03, Finish: 2024-11-27 04:10
[11-25 23:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:09:34 tlr: 0.0002 tnm: 0.33 Lm: 6.877 (6.877) Lt: 6.279 (6.279) Accm: 2.19 (2.19) Acct: 3.48 (3.48) proj_loss: -0.5957 (-0.5957) time: 0.3441 data: 0.0003
[11-25 23:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:09:34 tlr: 0.0002 tnm: 0.33 Lm: 6.822 (6.822) Lt: 6.080 (6.080) Accm: 2.67 (2.67) Acct: 4.32 (4.32) proj_loss: -0.5732 (-0.5732) time: 0.3444 data: 0.0004
[11-25 23:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:09:35 tlr: 0.0002 tnm: 0.33 Lm: 7.022 (7.022) Lt: 6.290 (6.290) Accm: 2.37 (2.37) Acct: 3.81 (3.81) proj_loss: -0.5666 (-0.5666) time: 0.3447 data: 0.0003
[11-25 23:27:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:09:40 tlr: 0.0002 tnm: 0.33 Lm: 6.992 (6.992) Lt: 6.298 (6.298) Accm: 2.21 (2.21) Acct: 3.62 (3.62) proj_loss: -0.5562 (-0.5562) time: 0.3481 data: 0.0003
[11-25 23:30:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.33 Lm: 6.940 (6.940) Lt: 6.234 (6.234) Accm: 2.39 (2.39) Acct: 3.79 (3.79) proj_loss: -0.5559 (-0.5559) time: 0.3610 data: 0.0003
[11-25 23:30:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.33 Lm: 6.887 (6.887) Lt: 6.185 (6.185) Accm: 2.43 (2.43) Acct: 3.91 (3.91) proj_loss: -0.5547 (-0.5547) time: 0.3610 data: 0.0002
[11-25 23:30:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.33 Lm: 6.918 (6.918) Lt: 6.266 (6.266) Accm: 2.12 (2.12) Acct: 3.31 (3.31) proj_loss: -0.5800 (-0.5800) time: 0.3610 data: 0.0002
[11-25 23:30:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.33 Lm: 6.985 (6.985) Lt: 6.277 (6.277) Accm: 2.36 (2.36) Acct: 3.87 (3.87) proj_loss: -0.5666 (-0.5666) time: 0.3610 data: 0.0003
[11-25 23:32:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.948 (6.971) Lt: 6.264 (6.251) Accm: 2.35 (2.36) Acct: 3.81 (3.79) proj_loss: -0.5666 (-0.5604) time: 0.3612 data: 0.0003
[11-25 23:32:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.952 (6.912) Lt: 6.288 (6.219) Accm: 2.24 (2.37) Acct: 3.50 (3.77) proj_loss: -0.5423 (-0.5505) time: 0.3612 data: 0.0003
[11-25 23:32:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.959 (6.979) Lt: 6.279 (6.317) Accm: 2.05 (2.08) Acct: 3.15 (3.23) proj_loss: -0.5642 (-0.5703) time: 0.3612 data: 0.0002
[11-25 23:32:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:02 tlr: 0.0002 tnm: 0.34 Lm: 6.888 (6.898) Lt: 6.171 (6.202) Accm: 2.56 (2.45) Acct: 3.96 (3.89) proj_loss: -0.5562 (-0.5574) time: 0.3612 data: 0.0003
[11-25 23:35:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.940 (6.923) Lt: 6.234 (6.245) Accm: 2.39 (2.35) Acct: 3.79 (3.65) proj_loss: -0.5583 (-0.5646) time: 0.3601 data: 0.0003
[11-25 23:35:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.903 (6.898) Lt: 6.239 (6.212) Accm: 2.44 (2.43) Acct: 3.83 (3.87) proj_loss: -0.5475 (-0.5511) time: 0.3601 data: 0.0003
[11-25 23:35:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.982 (6.986) Lt: 6.311 (6.324) Accm: 2.09 (2.09) Acct: 3.28 (3.28) proj_loss: -0.5649 (-0.5691) time: 0.3601 data: 0.0002
[11-25 23:35:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:31 tlr: 0.0002 tnm: 0.33 Lm: 6.950 (6.966) Lt: 6.273 (6.259) Accm: 2.35 (2.35) Acct: 3.87 (3.83) proj_loss: -0.5573 (-0.5560) time: 0.3601 data: 0.0003
[11-25 23:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.948 (6.955) Lt: 6.268 (6.261) Accm: 2.35 (2.40) Acct: 3.93 (3.95) proj_loss: -0.5666 (-0.5600) time: 0.3602 data: 0.0022
[11-25 23:37:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:03 (0.361 s / it)
[11-25 23:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 7.005 (7.007) Lt: 6.344 (6.347) Accm: 2.05 (2.06) Acct: 3.15 (3.23) proj_loss: -0.5656 (-0.5733) time: 0.3602 data: 0.0016
[11-25 23:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.855 (6.886) Lt: 6.190 (6.202) Accm: 2.64 (2.48) Acct: 4.17 (3.94) proj_loss: -0.5423 (-0.5486) time: 0.3602 data: 0.0016
[11-25 23:37:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.36 Lm: 6.992 (6.946) Lt: 6.298 (6.266) Accm: 2.31 (2.34) Acct: 3.67 (3.65) proj_loss: -0.5562 (-0.5600) time: 0.3602 data: 0.0020
[11-25 23:37:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:03 (0.361 s / it)
[11-25 23:37:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:03 (0.361 s / it)
[11-25 23:37:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:03 (0.361 s / it)
[11-25 23:37:40] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.942 (6.943), Lt: 6.261 (6.264), Acc m&t: 2.34 3.67, Remain: 1 day, 20:23:28, Finish: 2024-11-27 04:01
[11-25 23:37:40] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.942 (6.943), Lt: 6.261 (6.264), Acc m&t: 2.34 3.67, Remain: 1 day, 20:24:33, Finish: 2024-11-27 04:02
[11-25 23:37:40] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.942 (6.943), Lt: 6.261 (6.264), Acc m&t: 2.34 3.67, Remain: 1 day, 20:25:10, Finish: 2024-11-27 04:02
[11-25 23:37:40] (/home/user/VAR/train.py , line 276)=> [ep84] (training ) Lm: 6.942 (6.943), Lt: 6.261 (6.264), Acc m&t: 2.34 3.67, Remain: 1 day, 20:24:53, Finish: 2024-11-27 04:02
[11-25 23:37:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:10:17 tlr: 0.0002 tnm: 0.33 Lm: 7.005 (7.005) Lt: 6.313 (6.313) Accm: 2.38 (2.38) Acct: 3.96 (3.96) proj_loss: -0.5646 (-0.5646) time: 0.3702 data: 0.0004
[11-25 23:37:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:10:18 tlr: 0.0002 tnm: 0.33 Lm: 7.071 (7.071) Lt: 6.431 (6.431) Accm: 2.18 (2.18) Acct: 3.24 (3.24) proj_loss: -0.5697 (-0.5697) time: 0.3706 data: 0.0004
[11-25 23:37:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:10:16 tlr: 0.0002 tnm: 0.33 Lm: 7.041 (7.041) Lt: 6.398 (6.398) Accm: 2.05 (2.05) Acct: 3.19 (3.19) proj_loss: -0.5718 (-0.5718) time: 0.3696 data: 0.0003
[11-25 23:37:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:10:18 tlr: 0.0002 tnm: 0.33 Lm: 7.028 (7.028) Lt: 6.321 (6.321) Accm: 2.19 (2.19) Acct: 3.60 (3.60) proj_loss: -0.5658 (-0.5658) time: 0.3706 data: 0.0004
[11-25 23:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.34 Lm: 6.900 (6.900) Lt: 6.199 (6.199) Accm: 2.32 (2.32) Acct: 3.45 (3.45) proj_loss: -0.5579 (-0.5579) time: 0.3592 data: 0.0003
[11-25 23:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.34 Lm: 6.973 (6.973) Lt: 6.282 (6.282) Accm: 2.37 (2.37) Acct: 3.73 (3.73) proj_loss: -0.5684 (-0.5684) time: 0.3592 data: 0.0003
[11-25 23:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:07:30 tlr: 0.0002 tnm: 0.34 Lm: 6.901 (6.901) Lt: 6.230 (6.230) Accm: 2.33 (2.33) Acct: 3.57 (3.57) proj_loss: -0.5627 (-0.5627) time: 0.3593 data: 0.0002
[11-25 23:40:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:07:31 tlr: 0.0002 tnm: 0.34 Lm: 7.012 (7.012) Lt: 6.343 (6.343) Accm: 2.36 (2.36) Acct: 3.81 (3.81) proj_loss: -0.5577 (-0.5577) time: 0.3593 data: 0.0003
[11-25 23:42:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:00 tlr: 0.0002 tnm: 0.36 Lm: 7.005 (6.997) Lt: 6.313 (6.317) Accm: 2.33 (2.31) Acct: 3.65 (3.75) proj_loss: -0.5619 (-0.5591) time: 0.3603 data: 0.0003
[11-25 23:42:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:00 tlr: 0.0002 tnm: 0.36 Lm: 7.002 (6.935) Lt: 6.338 (6.266) Accm: 2.16 (2.28) Acct: 3.24 (3.46) proj_loss: -0.5646 (-0.5633) time: 0.3603 data: 0.0002
[11-25 23:42:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:00 tlr: 0.0002 tnm: 0.36 Lm: 6.906 (6.951) Lt: 6.235 (6.267) Accm: 2.48 (2.41) Acct: 3.77 (3.74) proj_loss: -0.5697 (-0.5758) time: 0.3603 data: 0.0003
[11-25 23:42:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:00 tlr: 0.0002 tnm: 0.36 Lm: 7.028 (6.953) Lt: 6.321 (6.267) Accm: 2.20 (2.28) Acct: 3.50 (3.47) proj_loss: -0.5501 (-0.5520) time: 0.3603 data: 0.0003
[11-25 23:45:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 7.017 (6.966) Lt: 6.294 (6.268) Accm: 2.20 (2.22) Acct: 3.50 (3.48) proj_loss: -0.5535 (-0.5533) time: 0.3587 data: 0.0003
[11-25 23:45:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 7.012 (7.020) Lt: 6.343 (6.343) Accm: 2.28 (2.25) Acct: 3.65 (3.60) proj_loss: -0.5633 (-0.5621) time: 0.3587 data: 0.0002
[11-25 23:45:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.976 (6.939) Lt: 6.302 (6.266) Accm: 2.25 (2.29) Acct: 3.39 (3.48) proj_loss: -0.5606 (-0.5617) time: 0.3587 data: 0.0002
[11-25 23:45:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:30 tlr: 0.0002 tnm: 0.34 Lm: 6.891 (6.931) Lt: 6.208 (6.245) Accm: 2.49 (2.43) Acct: 3.82 (3.77) proj_loss: -0.5717 (-0.5752) time: 0.3587 data: 0.0003
[11-25 23:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.906 (6.952) Lt: 6.235 (6.273) Accm: 2.48 (2.36) Acct: 3.77 (3.63) proj_loss: -0.5697 (-0.5729) time: 0.3623 data: 0.0018
[11-25 23:47:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:01 (0.360 s / it)
[11-25 23:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 7.005 (6.975) Lt: 6.313 (6.292) Accm: 2.33 (2.34) Acct: 3.65 (3.78) proj_loss: -0.5646 (-0.5650) time: 0.3623 data: 0.0017
[11-25 23:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 7.002 (6.965) Lt: 6.338 (6.293) Accm: 2.16 (2.25) Acct: 3.34 (3.45) proj_loss: -0.5567 (-0.5601) time: 0.3623 data: 0.0014
[11-25 23:47:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 7.006 (6.959) Lt: 6.268 (6.262) Accm: 2.20 (2.25) Acct: 3.51 (3.48) proj_loss: -0.5501 (-0.5518) time: 0.3623 data: 0.0018
[11-25 23:47:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:01 (0.360 s / it)
[11-25 23:47:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:01 (0.360 s / it)
[11-25 23:47:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:01 (0.360 s / it)
[11-25 23:47:41] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.942 (6.948), Lt: 6.261 (6.269), Acc m&t: 2.34 3.67, Remain: 1 day, 20:41:36, Finish: 2024-11-27 04:29
[11-25 23:47:41] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.942 (6.948), Lt: 6.261 (6.269), Acc m&t: 2.34 3.67, Remain: 1 day, 20:41:23, Finish: 2024-11-27 04:29
[11-25 23:47:41] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.942 (6.948), Lt: 6.261 (6.269), Acc m&t: 2.34 3.67, Remain: 1 day, 20:41:28, Finish: 2024-11-27 04:29
[11-25 23:47:41] (/home/user/VAR/train.py , line 276)=> [ep85] (training ) Lm: 6.942 (6.948), Lt: 6.261 (6.269), Acc m&t: 2.34 3.67, Remain: 1 day, 20:41:18, Finish: 2024-11-27 04:28
[11-25 23:47:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:09:42 tlr: 0.00019 tnm: 0.38 Lm: 6.834 (6.834) Lt: 6.085 (6.085) Accm: 2.66 (2.66) Acct: 4.18 (4.18) proj_loss: -0.5713 (-0.5713) time: 0.3490 data: 0.0003
[11-25 23:47:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:09:43 tlr: 0.00019 tnm: 0.38 Lm: 6.959 (6.959) Lt: 6.287 (6.287) Accm: 2.27 (2.27) Acct: 3.56 (3.56) proj_loss: -0.5665 (-0.5665) time: 0.3495 data: 0.0003
[11-25 23:47:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:09:42 tlr: 0.00019 tnm: 0.38 Lm: 6.825 (6.825) Lt: 6.141 (6.141) Accm: 2.68 (2.68) Acct: 4.30 (4.30) proj_loss: -0.5628 (-0.5628) time: 0.3492 data: 0.0004
[11-25 23:47:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:10:22 tlr: 0.00019 tnm: 0.38 Lm: 6.832 (6.832) Lt: 6.113 (6.113) Accm: 2.70 (2.70) Acct: 4.17 (4.17) proj_loss: -0.5735 (-0.5735) time: 0.3732 data: 0.0004
[11-25 23:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:08:06 tlr: 0.00019 tnm: 0.34 Lm: 6.903 (6.903) Lt: 6.196 (6.196) Accm: 2.50 (2.50) Acct: 3.96 (3.96) proj_loss: -0.5640 (-0.5640) time: 0.4450 data: 0.0003
[11-25 23:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:08:06 tlr: 0.00019 tnm: 0.34 Lm: 6.931 (6.931) Lt: 6.236 (6.236) Accm: 2.52 (2.52) Acct: 3.86 (3.86) proj_loss: -0.5668 (-0.5668) time: 0.4450 data: 0.0002
[11-25 23:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:08:06 tlr: 0.00019 tnm: 0.34 Lm: 6.922 (6.922) Lt: 6.220 (6.220) Accm: 2.36 (2.36) Acct: 3.83 (3.83) proj_loss: -0.5652 (-0.5652) time: 0.4450 data: 0.0003
[11-25 23:50:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:08:06 tlr: 0.00019 tnm: 0.34 Lm: 6.911 (6.911) Lt: 6.226 (6.226) Accm: 2.38 (2.38) Acct: 3.83 (3.83) proj_loss: -0.5619 (-0.5619) time: 0.4450 data: 0.0003
[11-25 23:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:28 tlr: 0.00019 tnm: 0.33 Lm: 6.997 (6.967) Lt: 6.312 (6.290) Accm: 2.16 (2.31) Acct: 3.39 (3.68) proj_loss: -0.5627 (-0.5622) time: 0.4052 data: 0.0003
[11-25 23:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:28 tlr: 0.00019 tnm: 0.33 Lm: 6.886 (6.916) Lt: 6.247 (6.240) Accm: 2.57 (2.54) Acct: 4.01 (3.91) proj_loss: -0.5624 (-0.5652) time: 0.4052 data: 0.0002
[11-25 23:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:28 tlr: 0.00019 tnm: 0.33 Lm: 6.959 (6.956) Lt: 6.287 (6.260) Accm: 2.27 (2.31) Acct: 3.58 (3.75) proj_loss: -0.5665 (-0.5675) time: 0.4052 data: 0.0003
[11-25 23:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:28 tlr: 0.00019 tnm: 0.33 Lm: 6.930 (6.912) Lt: 6.265 (6.219) Accm: 2.34 (2.45) Acct: 3.75 (3.87) proj_loss: -0.5682 (-0.5654) time: 0.4052 data: 0.0003
[11-25 23:55:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.33 Lm: 6.898 (6.900) Lt: 6.224 (6.210) Accm: 2.52 (2.54) Acct: 3.96 (3.97) proj_loss: -0.5680 (-0.5660) time: 0.3611 data: 0.0002
[11-25 23:55:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.33 Lm: 6.992 (6.979) Lt: 6.313 (6.302) Accm: 2.24 (2.21) Acct: 3.57 (3.50) proj_loss: -0.5693 (-0.5687) time: 0.3611 data: 0.0002
[11-25 23:55:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.33 Lm: 6.888 (6.910) Lt: 6.241 (6.239) Accm: 2.49 (2.51) Acct: 3.86 (3.86) proj_loss: -0.5643 (-0.5654) time: 0.3611 data: 0.0002
[11-25 23:55:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.33 Lm: 6.938 (6.945) Lt: 6.260 (6.269) Accm: 2.42 (2.41) Acct: 3.85 (3.87) proj_loss: -0.5619 (-0.5596) time: 0.3611 data: 0.0003
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.997 (6.972) Lt: 6.312 (6.295) Accm: 2.16 (2.33) Acct: 3.39 (3.75) proj_loss: -0.5616 (-0.5600) time: 0.3651 data: 0.0016
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:29 (0.377 s / it)
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.930 (6.922) Lt: 6.265 (6.235) Accm: 2.35 (2.50) Acct: 3.75 (3.91) proj_loss: -0.5682 (-0.5672) time: 0.3650 data: 0.0019
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.959 (6.974) Lt: 6.287 (6.293) Accm: 2.27 (2.29) Acct: 3.58 (3.60) proj_loss: -0.5665 (-0.5647) time: 0.3651 data: 0.0019
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.886 (6.885) Lt: 6.235 (6.203) Accm: 2.57 (2.55) Acct: 4.01 (3.96) proj_loss: -0.5654 (-0.5654) time: 0.3651 data: 0.0014
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:29 (0.377 s / it)
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:29 (0.377 s / it)
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:29 (0.377 s / it)
[11-25 23:58:11] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.942 (6.944), Lt: 6.261 (6.265), Acc m&t: 2.35 3.70, Remain: 1 day, 20:35:31, Finish: 2024-11-27 04:33
[11-25 23:58:11] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.942 (6.944), Lt: 6.261 (6.265), Acc m&t: 2.35 3.70, Remain: 1 day, 20:34:30, Finish: 2024-11-27 04:32
[11-25 23:58:11] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.942 (6.944), Lt: 6.261 (6.265), Acc m&t: 2.35 3.70, Remain: 1 day, 20:35:14, Finish: 2024-11-27 04:33
[11-25 23:58:11] (/home/user/VAR/train.py , line 276)=> [ep86] (training ) Lm: 6.942 (6.944), Lt: 6.261 (6.265), Acc m&t: 2.35 3.70, Remain: 1 day, 20:35:28, Finish: 2024-11-27 04:33
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:10:04 tlr: 0.00019 tnm: 0.34 Lm: 7.013 (7.013) Lt: 6.343 (6.343) Accm: 2.24 (2.24) Acct: 3.63 (3.63) proj_loss: -0.5511 (-0.5511) time: 0.3620 data: 0.0004
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:10:02 tlr: 0.00019 tnm: 0.34 Lm: 6.916 (6.916) Lt: 6.281 (6.281) Accm: 2.29 (2.29) Acct: 3.34 (3.34) proj_loss: -0.5727 (-0.5727) time: 0.3612 data: 0.0003
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:10:03 tlr: 0.00019 tnm: 0.34 Lm: 6.993 (6.993) Lt: 6.293 (6.293) Accm: 2.32 (2.32) Acct: 3.65 (3.65) proj_loss: -0.5540 (-0.5540) time: 0.3618 data: 0.0004
[11-25 23:58:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:10:04 tlr: 0.00019 tnm: 0.34 Lm: 6.934 (6.934) Lt: 6.236 (6.236) Accm: 2.16 (2.16) Acct: 3.32 (3.32) proj_loss: -0.5435 (-0.5435) time: 0.3623 data: 0.0003
[11-26 00:00:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.33 Lm: 6.946 (6.946) Lt: 6.255 (6.255) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: -0.5521 (-0.5521) time: 0.3604 data: 0.0003
[11-26 00:00:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.33 Lm: 6.961 (6.961) Lt: 6.270 (6.270) Accm: 2.39 (2.39) Acct: 3.78 (3.78) proj_loss: -0.5566 (-0.5566) time: 0.3604 data: 0.0003
[11-26 00:00:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.33 Lm: 6.978 (6.978) Lt: 6.331 (6.331) Accm: 2.19 (2.19) Acct: 3.27 (3.27) proj_loss: -0.5689 (-0.5689) time: 0.3604 data: 0.0002
[11-26 00:00:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.33 Lm: 7.046 (7.046) Lt: 6.398 (6.398) Accm: 2.14 (2.14) Acct: 3.46 (3.46) proj_loss: -0.5634 (-0.5634) time: 0.3604 data: 0.0003
[11-26 00:03:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.33 Lm: 7.013 (6.971) Lt: 6.343 (6.305) Accm: 2.24 (2.30) Acct: 3.63 (3.67) proj_loss: -0.5574 (-0.5614) time: 0.3585 data: 0.0003
[11-26 00:03:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.33 Lm: 6.934 (6.936) Lt: 6.236 (6.248) Accm: 2.27 (2.32) Acct: 3.55 (3.66) proj_loss: -0.5607 (-0.5567) time: 0.3585 data: 0.0003
[11-26 00:03:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.33 Lm: 6.916 (6.934) Lt: 6.281 (6.267) Accm: 2.29 (2.37) Acct: 3.34 (3.59) proj_loss: -0.5679 (-0.5686) time: 0.3585 data: 0.0002
[11-26 00:03:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.33 Lm: 6.931 (6.951) Lt: 6.246 (6.256) Accm: 2.32 (2.35) Acct: 3.65 (3.73) proj_loss: -0.5593 (-0.5592) time: 0.3585 data: 0.0003
[11-26 00:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.32 Lm: 6.959 (6.960) Lt: 6.270 (6.278) Accm: 2.33 (2.35) Acct: 3.64 (3.67) proj_loss: -0.5609 (-0.5600) time: 0.3629 data: 0.0003
[11-26 00:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.32 Lm: 6.946 (6.972) Lt: 6.255 (6.298) Accm: 2.21 (2.26) Acct: 3.43 (3.53) proj_loss: -0.5593 (-0.5569) time: 0.3629 data: 0.0003
[11-26 00:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.32 Lm: 6.961 (6.955) Lt: 6.275 (6.281) Accm: 2.28 (2.31) Acct: 3.61 (3.65) proj_loss: -0.5600 (-0.5617) time: 0.3629 data: 0.0003
[11-26 00:05:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.32 Lm: 6.955 (6.949) Lt: 6.295 (6.278) Accm: 2.25 (2.33) Acct: 3.36 (3.54) proj_loss: -0.5703 (-0.5718) time: 0.3630 data: 0.0003
[11-26 00:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.947 (6.949) Lt: 6.281 (6.278) Accm: 2.29 (2.34) Acct: 3.37 (3.57) proj_loss: -0.5679 (-0.5692) time: 0.3642 data: 0.0014
[11-26 00:08:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:02 (0.361 s / it)
[11-26 00:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.908 (6.946) Lt: 6.208 (6.260) Accm: 2.33 (2.34) Acct: 3.63 (3.72) proj_loss: -0.5574 (-0.5607) time: 0.3642 data: 0.0016
[11-26 00:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.959 (6.960) Lt: 6.246 (6.266) Accm: 2.33 (2.36) Acct: 3.65 (3.75) proj_loss: -0.5593 (-0.5596) time: 0.3642 data: 0.0020
[11-26 00:08:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.958 (6.984) Lt: 6.274 (6.308) Accm: 2.16 (2.22) Acct: 3.32 (3.48) proj_loss: -0.5607 (-0.5591) time: 0.3642 data: 0.0022
[11-26 00:08:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:02 (0.361 s / it)
[11-26 00:08:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:02 (0.361 s / it)
[11-26 00:08:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:02 (0.361 s / it)
[11-26 00:08:13] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.939 (6.939), Lt: 6.260 (6.260), Acc m&t: 2.35 3.70, Remain: 1 day, 20:13:39, Finish: 2024-11-27 04:21
[11-26 00:08:13] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.939 (6.939), Lt: 6.260 (6.260), Acc m&t: 2.35 3.70, Remain: 1 day, 20:14:10, Finish: 2024-11-27 04:22
[11-26 00:08:13] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.939 (6.939), Lt: 6.260 (6.260), Acc m&t: 2.35 3.70, Remain: 1 day, 20:13:56, Finish: 2024-11-27 04:22
[11-26 00:08:13] (/home/user/VAR/train.py , line 276)=> [ep87] (training ) Lm: 6.939 (6.939), Lt: 6.260 (6.260), Acc m&t: 2.35 3.70, Remain: 1 day, 20:13:19, Finish: 2024-11-27 04:21
[11-26 00:08:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:09:40 tlr: 0.00019 tnm: 0.36 Lm: 6.959 (6.959) Lt: 6.280 (6.280) Accm: 2.39 (2.39) Acct: 3.51 (3.51) proj_loss: -0.5633 (-0.5633) time: 0.3480 data: 0.0003
[11-26 00:08:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:09:41 tlr: 0.00019 tnm: 0.36 Lm: 6.807 (6.807) Lt: 6.142 (6.142) Accm: 2.72 (2.72) Acct: 4.08 (4.08) proj_loss: -0.5741 (-0.5741) time: 0.3486 data: 0.0003
[11-26 00:08:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:09:42 tlr: 0.00019 tnm: 0.36 Lm: 6.991 (6.991) Lt: 6.318 (6.318) Accm: 2.34 (2.34) Acct: 3.56 (3.56) proj_loss: -0.5630 (-0.5630) time: 0.3488 data: 0.0003
[11-26 00:08:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:09:32 tlr: 0.00019 tnm: 0.36 Lm: 7.013 (7.013) Lt: 6.349 (6.349) Accm: 2.29 (2.29) Acct: 3.91 (3.91) proj_loss: -0.5439 (-0.5439) time: 0.3431 data: 0.0003
[11-26 00:10:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.35 Lm: 7.010 (7.010) Lt: 6.353 (6.353) Accm: 2.19 (2.19) Acct: 3.57 (3.57) proj_loss: -0.5631 (-0.5631) time: 0.3604 data: 0.0003
[11-26 00:10:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.35 Lm: 6.936 (6.936) Lt: 6.266 (6.266) Accm: 2.42 (2.42) Acct: 3.73 (3.73) proj_loss: -0.5739 (-0.5739) time: 0.3604 data: 0.0003
[11-26 00:10:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.35 Lm: 6.939 (6.939) Lt: 6.276 (6.276) Accm: 2.40 (2.40) Acct: 3.68 (3.68) proj_loss: -0.5599 (-0.5599) time: 0.3604 data: 0.0002
[11-26 00:10:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.35 Lm: 6.856 (6.856) Lt: 6.132 (6.132) Accm: 2.71 (2.71) Acct: 4.22 (4.22) proj_loss: -0.5623 (-0.5623) time: 0.3604 data: 0.0003
[11-26 00:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.35 Lm: 6.949 (6.887) Lt: 6.235 (6.166) Accm: 2.34 (2.58) Acct: 3.72 (4.05) proj_loss: -0.5615 (-0.5584) time: 0.3621 data: 0.0003
[11-26 00:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.35 Lm: 6.807 (6.877) Lt: 6.142 (6.209) Accm: 2.72 (2.57) Acct: 4.08 (3.92) proj_loss: -0.5737 (-0.5718) time: 0.3621 data: 0.0003
[11-26 00:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.35 Lm: 6.924 (6.934) Lt: 6.272 (6.273) Accm: 2.39 (2.31) Acct: 3.51 (3.50) proj_loss: -0.5633 (-0.5628) time: 0.3621 data: 0.0003
[11-26 00:13:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.35 Lm: 7.006 (6.966) Lt: 6.349 (6.288) Accm: 2.29 (2.28) Acct: 3.82 (3.66) proj_loss: -0.5504 (-0.5588) time: 0.3621 data: 0.0003
[11-26 00:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.35 Lm: 7.000 (6.973) Lt: 6.343 (6.301) Accm: 2.27 (2.27) Acct: 3.62 (3.60) proj_loss: -0.5551 (-0.5591) time: 0.3605 data: 0.0003
[11-26 00:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.35 Lm: 6.936 (6.937) Lt: 6.273 (6.273) Accm: 2.33 (2.30) Acct: 3.60 (3.54) proj_loss: -0.5634 (-0.5630) time: 0.3605 data: 0.0002
[11-26 00:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.35 Lm: 6.825 (6.869) Lt: 6.150 (6.196) Accm: 2.56 (2.53) Acct: 3.92 (3.88) proj_loss: -0.5739 (-0.5729) time: 0.3605 data: 0.0002
[11-26 00:15:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.35 Lm: 6.970 (6.920) Lt: 6.276 (6.227) Accm: 2.33 (2.42) Acct: 3.64 (3.77) proj_loss: -0.5623 (-0.5603) time: 0.3605 data: 0.0003
[11-26 00:18:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.949 (6.902) Lt: 6.235 (6.213) Accm: 2.34 (2.44) Acct: 3.72 (3.79) proj_loss: -0.5630 (-0.5612) time: 0.4111 data: 0.0020
[11-26 00:18:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:03 (0.362 s / it)
[11-26 00:18:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.924 (6.925) Lt: 6.272 (6.248) Accm: 2.39 (2.37) Acct: 3.68 (3.66) proj_loss: -0.5633 (-0.5624) time: 0.4111 data: 0.0019
[11-26 00:18:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.843 (6.877) Lt: 6.157 (6.191) Accm: 2.65 (2.55) Acct: 4.08 (3.93) proj_loss: -0.5737 (-0.5676) time: 0.4111 data: 0.0021
[11-26 00:18:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.994 (6.959) Lt: 6.337 (6.282) Accm: 2.29 (2.30) Acct: 3.70 (3.62) proj_loss: -0.5597 (-0.5605) time: 0.4111 data: 0.0019
[11-26 00:18:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:03 (0.362 s / it)
[11-26 00:18:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:03 (0.362 s / it)
[11-26 00:18:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:03 (0.362 s / it)
[11-26 00:18:17] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.939 (6.943), Lt: 6.260 (6.269), Acc m&t: 2.35 3.70, Remain: 1 day, 20:07:20, Finish: 2024-11-27 04:25
[11-26 00:18:17] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.939 (6.943), Lt: 6.260 (6.269), Acc m&t: 2.35 3.70, Remain: 1 day, 20:07:09, Finish: 2024-11-27 04:25
[11-26 00:18:17] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.939 (6.943), Lt: 6.260 (6.269), Acc m&t: 2.35 3.70, Remain: 1 day, 20:07:28, Finish: 2024-11-27 04:25
[11-26 00:18:17] (/home/user/VAR/train.py , line 276)=> [ep88] (training ) Lm: 6.939 (6.943), Lt: 6.260 (6.269), Acc m&t: 2.35 3.70, Remain: 1 day, 20:07:48, Finish: 2024-11-27 04:26
[11-26 00:18:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:09:42 tlr: 0.00019 tnm: 0.35 Lm: 6.999 (6.999) Lt: 6.373 (6.373) Accm: 2.16 (2.16) Acct: 3.24 (3.24) proj_loss: -0.5770 (-0.5770) time: 0.3493 data: 0.0004
[11-26 00:18:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:09:44 tlr: 0.00019 tnm: 0.35 Lm: 6.948 (6.948) Lt: 6.275 (6.275) Accm: 2.11 (2.11) Acct: 3.55 (3.55) proj_loss: -0.5584 (-0.5584) time: 0.3505 data: 0.0004
[11-26 00:18:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:09:43 tlr: 0.00019 tnm: 0.35 Lm: 6.836 (6.836) Lt: 6.121 (6.121) Accm: 2.67 (2.67) Acct: 4.10 (4.10) proj_loss: -0.5574 (-0.5574) time: 0.3495 data: 0.0004
[11-26 00:18:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:09:51 tlr: 0.00019 tnm: 0.35 Lm: 6.977 (6.977) Lt: 6.288 (6.288) Accm: 2.39 (2.39) Acct: 3.93 (3.93) proj_loss: -0.5917 (-0.5917) time: 0.3545 data: 0.0004
[11-26 00:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:08:23 tlr: 0.00019 tnm: 0.36 Lm: 6.976 (6.976) Lt: 6.308 (6.308) Accm: 2.21 (2.21) Acct: 3.58 (3.58) proj_loss: -0.5757 (-0.5757) time: 0.4491 data: 0.0003
[11-26 00:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:08:23 tlr: 0.00019 tnm: 0.36 Lm: 6.876 (6.876) Lt: 6.205 (6.205) Accm: 2.50 (2.50) Acct: 3.74 (3.74) proj_loss: -0.5663 (-0.5663) time: 0.4491 data: 0.0003
[11-26 00:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:08:23 tlr: 0.00019 tnm: 0.36 Lm: 6.873 (6.873) Lt: 6.191 (6.191) Accm: 2.37 (2.37) Acct: 3.79 (3.79) proj_loss: -0.5605 (-0.5605) time: 0.4491 data: 0.0003
[11-26 00:21:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:08:23 tlr: 0.00019 tnm: 0.36 Lm: 6.966 (6.966) Lt: 6.311 (6.311) Accm: 2.23 (2.23) Acct: 3.44 (3.44) proj_loss: -0.5693 (-0.5693) time: 0.4491 data: 0.0003
[11-26 00:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:26 tlr: 0.00019 tnm: 0.34 Lm: 6.934 (6.956) Lt: 6.248 (6.278) Accm: 2.30 (2.29) Acct: 3.65 (3.66) proj_loss: -0.5638 (-0.5675) time: 0.3637 data: 0.0003
[11-26 00:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:26 tlr: 0.00019 tnm: 0.34 Lm: 6.848 (6.867) Lt: 6.154 (6.188) Accm: 2.60 (2.53) Acct: 3.96 (3.81) proj_loss: -0.5604 (-0.5643) time: 0.3637 data: 0.0003
[11-26 00:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:26 tlr: 0.00019 tnm: 0.34 Lm: 6.819 (6.855) Lt: 6.108 (6.161) Accm: 2.36 (2.36) Acct: 3.70 (3.76) proj_loss: -0.5626 (-0.5635) time: 0.3637 data: 0.0003
[11-26 00:23:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:26 tlr: 0.00019 tnm: 0.34 Lm: 6.976 (6.951) Lt: 6.288 (6.294) Accm: 2.27 (2.23) Acct: 3.58 (3.58) proj_loss: -0.5745 (-0.5753) time: 0.3638 data: 0.0002
[11-26 00:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.976 (6.962) Lt: 6.308 (6.302) Accm: 2.21 (2.21) Acct: 3.53 (3.56) proj_loss: -0.5761 (-0.5759) time: 0.3634 data: 0.0003
[11-26 00:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.884 (6.882) Lt: 6.191 (6.199) Accm: 2.32 (2.34) Acct: 3.62 (3.67) proj_loss: -0.5660 (-0.5687) time: 0.3634 data: 0.0003
[11-26 00:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.934 (6.923) Lt: 6.231 (6.244) Accm: 2.36 (2.41) Acct: 3.86 (3.76) proj_loss: -0.5648 (-0.5671) time: 0.3634 data: 0.0002
[11-26 00:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:39 tlr: 0.00019 tnm: 0.34 Lm: 6.882 (6.924) Lt: 6.221 (6.247) Accm: 2.46 (2.38) Acct: 3.67 (3.64) proj_loss: -0.5639 (-0.5651) time: 0.3634 data: 0.0003
[11-26 00:28:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.848 (6.899) Lt: 6.154 (6.227) Accm: 2.60 (2.47) Acct: 3.96 (3.82) proj_loss: -0.5674 (-0.5670) time: 0.3602 data: 0.0019
[11-26 00:28:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.934 (6.903) Lt: 6.213 (6.219) Accm: 2.42 (2.51) Acct: 4.06 (3.85) proj_loss: -0.5659 (-0.5679) time: 0.3603 data: 0.0019
[11-26 00:28:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.902 (6.886) Lt: 6.255 (6.210) Accm: 2.36 (2.37) Acct: 3.70 (3.71) proj_loss: -0.5632 (-0.5676) time: 0.3603 data: 0.0015
[11-26 00:28:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:26 (0.376 s / it)
[11-26 00:28:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.976 (6.934) Lt: 6.288 (6.259) Accm: 2.23 (2.22) Acct: 3.48 (3.53) proj_loss: -0.5745 (-0.5703) time: 0.3603 data: 0.0015
[11-26 00:28:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:26 (0.376 s / it)
[11-26 00:28:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:26 (0.376 s / it)
[11-26 00:28:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:26 (0.376 s / it)
[11-26 00:30:49] (home/user/VAR/trainer.py, line 114)=> FID: 5.790537205113537
[11-26 00:30:50] (/home/user/VAR/train.py , line 259)=> [*] [ep89] (val 50000) Lm: 6.9173, Lt: 6.2367, Acc m&t: 2.39 3.72, Val cost: 125.36s
[11-26 00:30:50] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 00:31:09] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.917 (6.917), Lt: 6.237 (6.237), Acc m&t: 2.39 3.72, Remain: 1 day, 19:36:07, Finish: 2024-11-27 04:04
[11-26 00:31:09] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.917 (6.917), Lt: 6.237 (6.237), Acc m&t: 2.39 3.72, Remain: 1 day, 19:37:14, Finish: 2024-11-27 04:05
[11-26 00:31:09] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.917 (6.917), Lt: 6.237 (6.237), Acc m&t: 2.39 3.72, Remain: 1 day, 19:37:26, Finish: 2024-11-27 04:06
[11-26 00:31:09] (/home/user/VAR/train.py , line 276)=> [ep89] (training ) Lm: 6.917 (6.917), Lt: 6.237 (6.237), Acc m&t: 2.39 3.72, Remain: 1 day, 19:36:27, Finish: 2024-11-27 04:05
[11-26 00:31:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:10:00 tlr: 0.00019 tnm: 0.35 Lm: 6.982 (6.982) Lt: 6.291 (6.291) Accm: 2.48 (2.48) Acct: 3.93 (3.93) proj_loss: -0.5613 (-0.5613) time: 0.3597 data: 0.0004
[11-26 00:31:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:10:03 tlr: 0.00019 tnm: 0.35 Lm: 6.856 (6.856) Lt: 6.120 (6.120) Accm: 2.49 (2.49) Acct: 3.98 (3.98) proj_loss: -0.5673 (-0.5673) time: 0.3615 data: 0.0004
[11-26 00:31:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:09:59 tlr: 0.00019 tnm: 0.35 Lm: 6.940 (6.940) Lt: 6.205 (6.205) Accm: 2.32 (2.32) Acct: 3.63 (3.63) proj_loss: -0.5631 (-0.5631) time: 0.3590 data: 0.0004
[11-26 00:31:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:10:02 tlr: 0.00019 tnm: 0.35 Lm: 6.921 (6.921) Lt: 6.254 (6.254) Accm: 2.40 (2.40) Acct: 3.81 (3.81) proj_loss: -0.5652 (-0.5652) time: 0.3609 data: 0.0004
[11-26 00:33:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.34 Lm: 6.890 (6.890) Lt: 6.226 (6.226) Accm: 2.35 (2.35) Acct: 3.67 (3.67) proj_loss: -0.5765 (-0.5765) time: 0.3608 data: 0.0003
[11-26 00:33:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.34 Lm: 6.907 (6.907) Lt: 6.202 (6.202) Accm: 2.35 (2.35) Acct: 3.74 (3.74) proj_loss: -0.5627 (-0.5627) time: 0.3608 data: 0.0003
[11-26 00:33:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.34 Lm: 6.912 (6.912) Lt: 6.239 (6.239) Accm: 2.34 (2.34) Acct: 3.49 (3.49) proj_loss: -0.5738 (-0.5738) time: 0.3608 data: 0.0003
[11-26 00:33:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:34 tlr: 0.00019 tnm: 0.34 Lm: 6.990 (6.990) Lt: 6.319 (6.319) Accm: 2.42 (2.42) Acct: 3.82 (3.82) proj_loss: -0.5599 (-0.5599) time: 0.3609 data: 0.0003
[11-26 00:36:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.997 (6.995) Lt: 6.348 (6.333) Accm: 2.36 (2.32) Acct: 3.72 (3.60) proj_loss: -0.5586 (-0.5587) time: 0.3611 data: 0.0003
[11-26 00:36:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.958 (6.942) Lt: 6.283 (6.256) Accm: 2.27 (2.32) Acct: 3.50 (3.56) proj_loss: -0.5673 (-0.5701) time: 0.3611 data: 0.0002
[11-26 00:36:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.916 (6.913) Lt: 6.205 (6.224) Accm: 2.36 (2.41) Acct: 3.63 (3.68) proj_loss: -0.5677 (-0.5718) time: 0.3611 data: 0.0002
[11-26 00:36:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.921 (6.930) Lt: 6.254 (6.280) Accm: 2.29 (2.26) Acct: 3.53 (3.54) proj_loss: -0.5660 (-0.5730) time: 0.3611 data: 0.0002
[11-26 00:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.34 Lm: 6.930 (6.932) Lt: 6.253 (6.273) Accm: 2.32 (2.28) Acct: 3.61 (3.57) proj_loss: -0.5656 (-0.5707) time: 0.3641 data: 0.0003
[11-26 00:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.34 Lm: 6.950 (6.942) Lt: 6.232 (6.237) Accm: 2.33 (2.34) Acct: 3.72 (3.65) proj_loss: -0.5627 (-0.5649) time: 0.3641 data: 0.0003
[11-26 00:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.34 Lm: 6.928 (6.933) Lt: 6.239 (6.259) Accm: 2.34 (2.35) Acct: 3.51 (3.61) proj_loss: -0.5654 (-0.5650) time: 0.3641 data: 0.0002
[11-26 00:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.34 Lm: 7.000 (6.997) Lt: 6.319 (6.317) Accm: 2.24 (2.26) Acct: 3.46 (3.50) proj_loss: -0.5573 (-0.5577) time: 0.3642 data: 0.0003
[11-26 00:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.940 (6.957) Lt: 6.272 (6.284) Accm: 2.32 (2.34) Acct: 3.63 (3.66) proj_loss: -0.5677 (-0.5658) time: 0.3628 data: 0.0014
[11-26 00:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.942 (6.931) Lt: 6.181 (6.223) Accm: 2.35 (2.34) Acct: 3.79 (3.68) proj_loss: -0.5657 (-0.5650) time: 0.3628 data: 0.0020
[11-26 00:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.921 (6.899) Lt: 6.252 (6.224) Accm: 2.35 (2.37) Acct: 3.68 (3.73) proj_loss: -0.5660 (-0.5720) time: 0.3628 data: 0.0015
[11-26 00:41:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:01 (0.361 s / it)
[11-26 00:41:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:01 (0.361 s / it)
[11-26 00:41:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:01 (0.361 s / it)
[11-26 00:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.997 (6.992) Lt: 6.291 (6.306) Accm: 2.28 (2.26) Acct: 3.72 (3.58) proj_loss: -0.5586 (-0.5614) time: 0.3628 data: 0.0018
[11-26 00:41:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:01 (0.361 s / it)
[11-26 00:41:11] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.917 (6.942), Lt: 6.237 (6.263), Acc m&t: 2.39 3.72, Remain: 1 day, 19:45:07, Finish: 2024-11-27 04:26
[11-26 00:41:11] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.917 (6.942), Lt: 6.237 (6.263), Acc m&t: 2.39 3.72, Remain: 1 day, 19:45:11, Finish: 2024-11-27 04:26
[11-26 00:41:11] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.917 (6.942), Lt: 6.237 (6.263), Acc m&t: 2.39 3.72, Remain: 1 day, 19:45:28, Finish: 2024-11-27 04:26
[11-26 00:41:11] (/home/user/VAR/train.py , line 276)=> [ep90] (training ) Lm: 6.917 (6.942), Lt: 6.237 (6.263), Acc m&t: 2.39 3.72, Remain: 1 day, 19:46:21, Finish: 2024-11-27 04:27
[11-26 00:41:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:09:27 tlr: 0.00019 tnm: 0.33 Lm: 6.955 (6.955) Lt: 6.291 (6.291) Accm: 2.28 (2.28) Acct: 3.50 (3.50) proj_loss: -0.5486 (-0.5486) time: 0.3400 data: 0.0003
[11-26 00:41:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:15:46 tlr: 0.00019 tnm: 0.33 Lm: 6.843 (6.843) Lt: 6.114 (6.114) Accm: 2.53 (2.53) Acct: 4.13 (4.13) proj_loss: -0.5638 (-0.5638) time: 0.5668 data: 0.0004
[11-26 00:41:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:15:16 tlr: 0.00019 tnm: 0.33 Lm: 6.815 (6.815) Lt: 6.149 (6.149) Accm: 2.41 (2.41) Acct: 3.77 (3.77) proj_loss: -0.5631 (-0.5631) time: 0.5493 data: 0.0004
[11-26 00:41:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:15:17 tlr: 0.00019 tnm: 0.33 Lm: 6.878 (6.878) Lt: 6.236 (6.236) Accm: 2.62 (2.62) Acct: 3.72 (3.72) proj_loss: -0.5718 (-0.5718) time: 0.5495 data: 0.0004
[11-26 00:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.34 Lm: 6.963 (6.963) Lt: 6.294 (6.294) Accm: 2.37 (2.37) Acct: 3.48 (3.48) proj_loss: -0.5605 (-0.5605) time: 0.3604 data: 0.0003
[11-26 00:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.34 Lm: 6.892 (6.892) Lt: 6.237 (6.237) Accm: 2.36 (2.36) Acct: 3.68 (3.68) proj_loss: -0.5592 (-0.5592) time: 0.3604 data: 0.0003
[11-26 00:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.34 Lm: 6.965 (6.965) Lt: 6.284 (6.284) Accm: 2.21 (2.21) Acct: 3.48 (3.48) proj_loss: -0.5500 (-0.5500) time: 0.3604 data: 0.0002
[11-26 00:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.34 Lm: 6.889 (6.889) Lt: 6.159 (6.159) Accm: 2.48 (2.48) Acct: 4.10 (4.10) proj_loss: -0.5753 (-0.5753) time: 0.3604 data: 0.0003
[11-26 00:46:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.860 (6.879) Lt: 6.158 (6.159) Accm: 2.43 (2.46) Acct: 4.06 (3.94) proj_loss: -0.5638 (-0.5670) time: 0.3636 data: 0.0004
[11-26 00:46:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.953 (6.913) Lt: 6.282 (6.252) Accm: 2.30 (2.32) Acct: 3.60 (3.63) proj_loss: -0.5554 (-0.5570) time: 0.3636 data: 0.0003
[11-26 00:46:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.35 Lm: 6.955 (6.931) Lt: 6.278 (6.246) Accm: 2.28 (2.26) Acct: 3.50 (3.53) proj_loss: -0.5513 (-0.5546) time: 0.3636 data: 0.0002
[11-26 00:46:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.917 (6.948) Lt: 6.236 (6.274) Accm: 2.42 (2.39) Acct: 3.72 (3.57) proj_loss: -0.5718 (-0.5658) time: 0.3636 data: 0.0003
[11-26 00:48:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.33 Lm: 6.943 (6.953) Lt: 6.263 (6.278) Accm: 2.37 (2.37) Acct: 3.66 (3.58) proj_loss: -0.5605 (-0.5612) time: 0.3608 data: 0.0007
[11-26 00:48:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.33 Lm: 6.900 (6.896) Lt: 6.217 (6.227) Accm: 2.36 (2.37) Acct: 3.68 (3.67) proj_loss: -0.5543 (-0.5560) time: 0.3608 data: 0.0002
[11-26 00:48:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.33 Lm: 6.883 (6.886) Lt: 6.166 (6.163) Accm: 2.43 (2.45) Acct: 4.00 (3.94) proj_loss: -0.5697 (-0.5691) time: 0.3608 data: 0.0003
[11-26 00:48:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:30 tlr: 0.00019 tnm: 0.33 Lm: 6.965 (6.973) Lt: 6.284 (6.312) Accm: 2.21 (2.15) Acct: 3.48 (3.36) proj_loss: -0.5576 (-0.5612) time: 0.3608 data: 0.0002
[11-26 00:51:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.975 (6.981) Lt: 6.291 (6.322) Accm: 2.19 (2.16) Acct: 3.50 (3.40) proj_loss: -0.5638 (-0.5620) time: 0.3668 data: 0.0015
[11-26 00:51:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:10 (0.366 s / it)
[11-26 00:51:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.953 (6.909) Lt: 6.268 (6.235) Accm: 2.41 (2.38) Acct: 3.74 (3.68) proj_loss: -0.5554 (-0.5590) time: 0.3669 data: 0.0018
[11-26 00:51:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.906 (6.899) Lt: 6.175 (6.187) Accm: 2.43 (2.45) Acct: 3.94 (3.91) proj_loss: -0.5657 (-0.5685) time: 0.3669 data: 0.0016
[11-26 00:51:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.917 (6.915) Lt: 6.236 (6.242) Accm: 2.42 (2.47) Acct: 3.72 (3.74) proj_loss: -0.5718 (-0.5640) time: 0.3669 data: 0.0020
[11-26 00:51:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:10 (0.366 s / it)
[11-26 00:51:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:10 (0.366 s / it)
[11-26 00:51:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:10 (0.366 s / it)
[11-26 00:51:21] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.917 (6.935), Lt: 6.237 (6.254), Acc m&t: 2.39 3.72, Remain: 1 day, 19:51:45, Finish: 2024-11-27 04:43
[11-26 00:51:21] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.917 (6.935), Lt: 6.237 (6.254), Acc m&t: 2.39 3.72, Remain: 1 day, 19:51:32, Finish: 2024-11-27 04:42
[11-26 00:51:21] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.917 (6.935), Lt: 6.237 (6.254), Acc m&t: 2.39 3.72, Remain: 1 day, 19:51:58, Finish: 2024-11-27 04:43
[11-26 00:51:21] (/home/user/VAR/train.py , line 276)=> [ep91] (training ) Lm: 6.917 (6.935), Lt: 6.237 (6.254), Acc m&t: 2.39 3.72, Remain: 1 day, 19:49:51, Finish: 2024-11-27 04:41
[11-26 00:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:09:55 tlr: 0.00019 tnm: 0.35 Lm: 6.853 (6.853) Lt: 6.120 (6.120) Accm: 2.75 (2.75) Acct: 4.65 (4.65) proj_loss: -0.5631 (-0.5631) time: 0.3570 data: 0.0004
[11-26 00:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:09:56 tlr: 0.00019 tnm: 0.35 Lm: 6.927 (6.927) Lt: 6.261 (6.261) Accm: 2.51 (2.51) Acct: 3.91 (3.91) proj_loss: -0.5759 (-0.5759) time: 0.3576 data: 0.0004
[11-26 00:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:09:56 tlr: 0.00019 tnm: 0.35 Lm: 7.066 (7.066) Lt: 6.390 (6.390) Accm: 2.05 (2.05) Acct: 3.25 (3.25) proj_loss: -0.5681 (-0.5681) time: 0.3575 data: 0.0004
[11-26 00:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:09:57 tlr: 0.00019 tnm: 0.35 Lm: 6.896 (6.896) Lt: 6.249 (6.249) Accm: 2.39 (2.39) Acct: 3.60 (3.60) proj_loss: -0.5598 (-0.5598) time: 0.3580 data: 0.0003
[11-26 00:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:08:22 tlr: 0.00019 tnm: 0.36 Lm: 6.928 (6.928) Lt: 6.265 (6.265) Accm: 2.39 (2.39) Acct: 3.80 (3.80) proj_loss: -0.5631 (-0.5631) time: 0.4070 data: 0.0003
[11-26 00:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:08:22 tlr: 0.00019 tnm: 0.36 Lm: 6.932 (6.932) Lt: 6.211 (6.211) Accm: 2.50 (2.50) Acct: 4.01 (4.01) proj_loss: -0.5728 (-0.5728) time: 0.4070 data: 0.0003
[11-26 00:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:08:22 tlr: 0.00019 tnm: 0.36 Lm: 6.959 (6.959) Lt: 6.289 (6.289) Accm: 2.32 (2.32) Acct: 3.70 (3.70) proj_loss: -0.5770 (-0.5770) time: 0.4070 data: 0.0003
[11-26 00:54:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:08:22 tlr: 0.00019 tnm: 0.36 Lm: 7.009 (7.009) Lt: 6.330 (6.330) Accm: 2.20 (2.20) Acct: 3.47 (3.47) proj_loss: -0.5743 (-0.5743) time: 0.4070 data: 0.0003
[11-26 00:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.34 Lm: 7.027 (7.015) Lt: 6.352 (6.337) Accm: 2.15 (2.18) Acct: 3.41 (3.45) proj_loss: -0.5681 (-0.5690) time: 0.3590 data: 0.0003
[11-26 00:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.34 Lm: 6.927 (6.938) Lt: 6.318 (6.300) Accm: 2.51 (2.40) Acct: 3.89 (3.76) proj_loss: -0.5759 (-0.5764) time: 0.3590 data: 0.0003
[11-26 00:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.34 Lm: 6.939 (6.934) Lt: 6.215 (6.212) Accm: 2.33 (2.45) Acct: 3.65 (3.89) proj_loss: -0.5631 (-0.5651) time: 0.3590 data: 0.0002
[11-26 00:56:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.34 Lm: 6.896 (6.915) Lt: 6.249 (6.234) Accm: 2.39 (2.44) Acct: 3.99 (3.87) proj_loss: -0.5598 (-0.5605) time: 0.3590 data: 0.0003
[11-26 00:59:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:36 tlr: 0.00019 tnm: 0.34 Lm: 6.914 (6.919) Lt: 6.257 (6.241) Accm: 2.41 (2.44) Acct: 3.80 (3.80) proj_loss: -0.5631 (-0.5620) time: 0.3580 data: 0.0003
[11-26 00:59:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:36 tlr: 0.00019 tnm: 0.34 Lm: 6.959 (6.978) Lt: 6.320 (6.335) Accm: 2.32 (2.32) Acct: 3.69 (3.66) proj_loss: -0.5756 (-0.5702) time: 0.3580 data: 0.0003
[11-26 00:59:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:36 tlr: 0.00019 tnm: 0.34 Lm: 6.896 (6.912) Lt: 6.178 (6.195) Accm: 2.43 (2.47) Acct: 3.89 (3.95) proj_loss: -0.5684 (-0.5673) time: 0.3580 data: 0.0002
[11-26 00:59:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:36 tlr: 0.00019 tnm: 0.34 Lm: 7.021 (7.015) Lt: 6.366 (6.348) Accm: 2.16 (2.18) Acct: 3.43 (3.45) proj_loss: -0.5724 (-0.5709) time: 0.3580 data: 0.0003
[11-26 01:01:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 7.021 (7.016) Lt: 6.360 (6.350) Accm: 2.16 (2.17) Acct: 3.46 (3.47) proj_loss: -0.5681 (-0.5675) time: 0.3607 data: 0.0019
[11-26 01:01:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:19 (0.371 s / it)
[11-26 01:01:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.898 (6.909) Lt: 6.194 (6.195) Accm: 2.35 (2.44) Acct: 3.77 (3.92) proj_loss: -0.5737 (-0.5690) time: 0.3607 data: 0.0014
[11-26 01:01:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.927 (6.946) Lt: 6.318 (6.301) Accm: 2.51 (2.38) Acct: 3.89 (3.75) proj_loss: -0.5759 (-0.5739) time: 0.3607 data: 0.0016
[11-26 01:01:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.33 Lm: 6.896 (6.907) Lt: 6.249 (6.223) Accm: 2.44 (2.45) Acct: 3.99 (3.87) proj_loss: -0.5664 (-0.5660) time: 0.3607 data: 0.0016
[11-26 01:01:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:19 (0.371 s / it)
[11-26 01:01:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:19 (0.371 s / it)
[11-26 01:01:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:19 (0.371 s / it)
[11-26 01:01:41] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.917 (6.929), Lt: 6.237 (6.245), Acc m&t: 2.39 3.72, Remain: 1 day, 19:11:42, Finish: 2024-11-27 04:13
[11-26 01:01:41] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.917 (6.929), Lt: 6.237 (6.245), Acc m&t: 2.39 3.72, Remain: 1 day, 19:11:41, Finish: 2024-11-27 04:13
[11-26 01:01:41] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.917 (6.929), Lt: 6.237 (6.245), Acc m&t: 2.39 3.72, Remain: 1 day, 19:10:54, Finish: 2024-11-27 04:12
[11-26 01:01:41] (/home/user/VAR/train.py , line 276)=> [ep92] (training ) Lm: 6.917 (6.929), Lt: 6.237 (6.245), Acc m&t: 2.39 3.72, Remain: 1 day, 19:12:09, Finish: 2024-11-27 04:13
[11-26 01:01:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.36 Lm: 6.918 (6.918) Lt: 6.282 (6.282) Accm: 2.24 (2.24) Acct: 3.50 (3.50) proj_loss: -0.5636 (-0.5636) time: 0.3444 data: 0.0003
[11-26 01:01:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:09:43 tlr: 0.00019 tnm: 0.36 Lm: 7.021 (7.021) Lt: 6.367 (6.367) Accm: 2.37 (2.37) Acct: 3.77 (3.77) proj_loss: -0.5574 (-0.5574) time: 0.3495 data: 0.0004
[11-26 01:01:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:09:36 tlr: 0.00019 tnm: 0.36 Lm: 6.777 (6.777) Lt: 6.092 (6.092) Accm: 2.80 (2.80) Acct: 4.44 (4.44) proj_loss: -0.5724 (-0.5724) time: 0.3454 data: 0.0004
[11-26 01:01:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.36 Lm: 7.093 (7.093) Lt: 6.429 (6.429) Accm: 2.22 (2.22) Acct: 3.44 (3.44) proj_loss: -0.5543 (-0.5543) time: 0.3451 data: 0.0004
[11-26 01:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.35 Lm: 7.030 (7.030) Lt: 6.367 (6.367) Accm: 2.23 (2.23) Acct: 3.51 (3.51) proj_loss: -0.5475 (-0.5475) time: 0.3600 data: 0.0003
[11-26 01:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.35 Lm: 6.955 (6.955) Lt: 6.303 (6.303) Accm: 2.42 (2.42) Acct: 3.87 (3.87) proj_loss: -0.5694 (-0.5694) time: 0.3600 data: 0.0003
[11-26 01:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.35 Lm: 6.892 (6.892) Lt: 6.211 (6.211) Accm: 2.30 (2.30) Acct: 3.71 (3.71) proj_loss: -0.5622 (-0.5622) time: 0.3600 data: 0.0002
[11-26 01:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.35 Lm: 6.868 (6.868) Lt: 6.188 (6.188) Accm: 2.57 (2.57) Acct: 4.05 (4.05) proj_loss: -0.5580 (-0.5580) time: 0.3600 data: 0.0003
[11-26 01:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.777 (6.827) Lt: 6.092 (6.148) Accm: 2.80 (2.65) Acct: 4.03 (4.04) proj_loss: -0.5724 (-0.5651) time: 0.3619 data: 0.0003
[11-26 01:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.933 (6.948) Lt: 6.240 (6.282) Accm: 2.37 (2.36) Acct: 3.77 (3.75) proj_loss: -0.5719 (-0.5702) time: 0.3619 data: 0.0002
[11-26 01:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 6.918 (6.909) Lt: 6.238 (6.220) Accm: 2.24 (2.20) Acct: 3.50 (3.48) proj_loss: -0.5608 (-0.5517) time: 0.3619 data: 0.0002
[11-26 01:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.33 Lm: 7.061 (7.041) Lt: 6.419 (6.384) Accm: 2.22 (2.18) Acct: 3.44 (3.37) proj_loss: -0.5543 (-0.5511) time: 0.3619 data: 0.0003
[11-26 01:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 7.015 (7.021) Lt: 6.362 (6.354) Accm: 2.23 (2.19) Acct: 3.51 (3.43) proj_loss: -0.5563 (-0.5575) time: 0.3604 data: 0.0002
[11-26 01:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.911 (6.933) Lt: 6.239 (6.259) Accm: 2.38 (2.37) Acct: 3.75 (3.74) proj_loss: -0.5759 (-0.5726) time: 0.3604 data: 0.0003
[11-26 01:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.892 (6.878) Lt: 6.190 (6.178) Accm: 2.30 (2.37) Acct: 3.71 (3.79) proj_loss: -0.5622 (-0.5550) time: 0.3604 data: 0.0002
[11-26 01:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.867 (6.860) Lt: 6.168 (6.172) Accm: 2.61 (2.59) Acct: 3.97 (4.01) proj_loss: -0.5697 (-0.5656) time: 0.3604 data: 0.0005
[11-26 01:11:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.787 (6.845) Lt: 6.117 (6.161) Accm: 2.69 (2.61) Acct: 4.03 (4.04) proj_loss: -0.5724 (-0.5689) time: 0.3649 data: 0.0016
[11-26 01:11:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:03 (0.361 s / it)
[11-26 01:11:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.969 (7.010) Lt: 6.308 (6.345) Accm: 2.22 (2.19) Acct: 3.44 (3.41) proj_loss: -0.5583 (-0.5605) time: 0.3649 data: 0.0017
[11-26 01:11:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.890 (6.914) Lt: 6.238 (6.239) Accm: 2.39 (2.44) Acct: 3.77 (3.82) proj_loss: -0.5782 (-0.5738) time: 0.3649 data: 0.0019
[11-26 01:11:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.918 (6.889) Lt: 6.238 (6.192) Accm: 2.36 (2.39) Acct: 3.70 (3.77) proj_loss: -0.5608 (-0.5527) time: 0.3649 data: 0.0022
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:03 (0.361 s / it)
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:03 (0.361 s / it)
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:03 (0.361 s / it)
[11-26 01:11:45] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.917 (6.932), Lt: 6.237 (6.246), Acc m&t: 2.39 3.72, Remain: 1 day, 19:21:15, Finish: 2024-11-27 04:33
[11-26 01:11:45] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.917 (6.932), Lt: 6.237 (6.246), Acc m&t: 2.39 3.72, Remain: 1 day, 19:21:36, Finish: 2024-11-27 04:33
[11-26 01:11:45] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.917 (6.932), Lt: 6.237 (6.246), Acc m&t: 2.39 3.72, Remain: 1 day, 19:21:06, Finish: 2024-11-27 04:32
[11-26 01:11:45] (/home/user/VAR/train.py , line 276)=> [ep93] (training ) Lm: 6.917 (6.932), Lt: 6.237 (6.246), Acc m&t: 2.39 3.72, Remain: 1 day, 19:21:19, Finish: 2024-11-27 04:33
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:10:08 tlr: 0.00019 tnm: 0.33 Lm: 7.037 (7.037) Lt: 6.391 (6.391) Accm: 2.20 (2.20) Acct: 3.34 (3.34) proj_loss: -0.5509 (-0.5509) time: 0.3646 data: 0.0003
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:10:06 tlr: 0.00019 tnm: 0.33 Lm: 6.898 (6.898) Lt: 6.181 (6.181) Accm: 2.59 (2.59) Acct: 4.27 (4.27) proj_loss: -0.5647 (-0.5647) time: 0.3632 data: 0.0003
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:10:08 tlr: 0.00019 tnm: 0.33 Lm: 7.007 (7.007) Lt: 6.358 (6.358) Accm: 2.14 (2.14) Acct: 3.19 (3.19) proj_loss: -0.5596 (-0.5596) time: 0.3644 data: 0.0004
[11-26 01:11:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:10:35 tlr: 0.00019 tnm: 0.33 Lm: 6.940 (6.940) Lt: 6.239 (6.239) Accm: 2.30 (2.30) Acct: 3.93 (3.93) proj_loss: -0.5752 (-0.5752) time: 0.3809 data: 0.0003
[11-26 01:14:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.34 Lm: 6.931 (6.931) Lt: 6.231 (6.231) Accm: 2.38 (2.38) Acct: 3.87 (3.87) proj_loss: -0.5791 (-0.5791) time: 0.3601 data: 0.0003
[11-26 01:14:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.34 Lm: 6.959 (6.959) Lt: 6.291 (6.291) Accm: 2.31 (2.31) Acct: 3.64 (3.64) proj_loss: -0.5657 (-0.5657) time: 0.3601 data: 0.0002
[11-26 01:14:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.34 Lm: 6.930 (6.930) Lt: 6.266 (6.266) Accm: 2.43 (2.43) Acct: 3.87 (3.87) proj_loss: -0.5588 (-0.5588) time: 0.3600 data: 0.0003
[11-26 01:14:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:07:30 tlr: 0.00019 tnm: 0.34 Lm: 6.995 (6.995) Lt: 6.349 (6.349) Accm: 2.13 (2.13) Acct: 3.23 (3.23) proj_loss: -0.5580 (-0.5580) time: 0.3600 data: 0.0003
[11-26 01:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.38 Lm: 6.984 (6.991) Lt: 6.339 (6.318) Accm: 2.14 (2.24) Acct: 3.27 (3.47) proj_loss: -0.5564 (-0.5546) time: 0.3617 data: 0.0003
[11-26 01:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.38 Lm: 6.926 (6.948) Lt: 6.250 (6.277) Accm: 2.18 (2.27) Acct: 3.27 (3.52) proj_loss: -0.5668 (-0.5704) time: 0.3617 data: 0.0002
[11-26 01:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.38 Lm: 6.940 (6.961) Lt: 6.239 (6.280) Accm: 2.30 (2.30) Acct: 3.81 (3.67) proj_loss: -0.5752 (-0.5749) time: 0.3617 data: 0.0002
[11-26 01:16:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:00 tlr: 0.00019 tnm: 0.38 Lm: 6.999 (6.953) Lt: 6.306 (6.279) Accm: 2.20 (2.32) Acct: 3.34 (3.64) proj_loss: -0.5668 (-0.5621) time: 0.3617 data: 0.0003
[11-26 01:19:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.925 (6.928) Lt: 6.224 (6.240) Accm: 2.39 (2.39) Acct: 3.71 (3.75) proj_loss: -0.5590 (-0.5594) time: 0.4067 data: 0.0003
[11-26 01:19:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.983 (6.942) Lt: 6.299 (6.259) Accm: 2.30 (2.39) Acct: 3.62 (3.73) proj_loss: -0.5580 (-0.5644) time: 0.4067 data: 0.0003
[11-26 01:19:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.950 (6.955) Lt: 6.260 (6.276) Accm: 2.31 (2.31) Acct: 3.63 (3.64) proj_loss: -0.5657 (-0.5686) time: 0.4067 data: 0.0002
[11-26 01:19:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.36 Lm: 6.931 (6.938) Lt: 6.231 (6.260) Accm: 2.32 (2.31) Acct: 3.72 (3.66) proj_loss: -0.5725 (-0.5736) time: 0.4067 data: 0.0003
[11-26 01:22:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.922 (6.917) Lt: 6.223 (6.232) Accm: 2.34 (2.37) Acct: 3.81 (3.83) proj_loss: -0.5736 (-0.5736) time: 0.3618 data: 0.0017
[11-26 01:22:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:18 (0.371 s / it)
[11-26 01:22:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.983 (6.928) Lt: 6.258 (6.236) Accm: 2.46 (2.43) Acct: 3.96 (3.78) proj_loss: -0.5596 (-0.5692) time: 0.3618 data: 0.0019
[11-26 01:22:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.974 (6.959) Lt: 6.257 (6.272) Accm: 2.35 (2.32) Acct: 3.58 (3.63) proj_loss: -0.5668 (-0.5701) time: 0.3618 data: 0.0015
[11-26 01:22:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.894 (6.921) Lt: 6.188 (6.230) Accm: 2.58 (2.44) Acct: 4.08 (3.84) proj_loss: -0.5652 (-0.5606) time: 0.3618 data: 0.0019
[11-26 01:22:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:18 (0.371 s / it)
[11-26 01:22:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:18 (0.371 s / it)
[11-26 01:22:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:18 (0.371 s / it)
[11-26 01:22:03] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.917 (6.920), Lt: 6.233 (6.233), Acc m&t: 2.39 3.74, Remain: 1 day, 19:03:07, Finish: 2024-11-27 04:25
[11-26 01:22:03] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.917 (6.920), Lt: 6.233 (6.233), Acc m&t: 2.39 3.74, Remain: 1 day, 19:03:16, Finish: 2024-11-27 04:25
[11-26 01:22:03] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.917 (6.920), Lt: 6.233 (6.233), Acc m&t: 2.39 3.74, Remain: 1 day, 19:03:08, Finish: 2024-11-27 04:25
[11-26 01:22:03] (/home/user/VAR/train.py , line 276)=> [ep94] (training ) Lm: 6.917 (6.920), Lt: 6.233 (6.233), Acc m&t: 2.39 3.74, Remain: 1 day, 19:02:45, Finish: 2024-11-27 04:24
[11-26 01:22:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:10:00 tlr: 0.00019 tnm: 0.37 Lm: 6.970 (6.970) Lt: 6.311 (6.311) Accm: 2.24 (2.24) Acct: 3.36 (3.36) proj_loss: -0.5743 (-0.5743) time: 0.3599 data: 0.0003
[11-26 01:22:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:10:01 tlr: 0.00019 tnm: 0.37 Lm: 6.870 (6.870) Lt: 6.195 (6.195) Accm: 2.55 (2.55) Acct: 4.22 (4.22) proj_loss: -0.5723 (-0.5723) time: 0.3605 data: 0.0004
[11-26 01:22:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:10:04 tlr: 0.00019 tnm: 0.37 Lm: 6.986 (6.986) Lt: 6.329 (6.329) Accm: 2.21 (2.21) Acct: 3.56 (3.56) proj_loss: -0.5536 (-0.5536) time: 0.3620 data: 0.0003
[11-26 01:22:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:10:02 tlr: 0.00019 tnm: 0.37 Lm: 6.882 (6.882) Lt: 6.200 (6.200) Accm: 2.49 (2.49) Acct: 4.06 (4.06) proj_loss: -0.5756 (-0.5756) time: 0.3610 data: 0.0003
[11-26 01:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.34 Lm: 6.845 (6.845) Lt: 6.139 (6.139) Accm: 2.60 (2.60) Acct: 4.17 (4.17) proj_loss: -0.5689 (-0.5689) time: 0.3592 data: 0.0003
[11-26 01:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.34 Lm: 7.012 (7.012) Lt: 6.324 (6.324) Accm: 2.19 (2.19) Acct: 3.42 (3.42) proj_loss: -0.5611 (-0.5611) time: 0.3592 data: 0.0002
[11-26 01:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.34 Lm: 6.913 (6.913) Lt: 6.238 (6.238) Accm: 2.36 (2.36) Acct: 3.68 (3.68) proj_loss: -0.5595 (-0.5595) time: 0.3592 data: 0.0003
[11-26 01:24:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.34 Lm: 6.918 (6.918) Lt: 6.238 (6.238) Accm: 2.35 (2.35) Acct: 3.81 (3.81) proj_loss: -0.5701 (-0.5701) time: 0.3592 data: 0.0002
[11-26 01:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:10 tlr: 0.00019 tnm: 0.34 Lm: 6.955 (6.930) Lt: 6.274 (6.250) Accm: 2.29 (2.33) Acct: 3.55 (3.72) proj_loss: -0.5723 (-0.5733) time: 0.3585 data: 0.0002
[11-26 01:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:10 tlr: 0.00019 tnm: 0.34 Lm: 6.994 (7.006) Lt: 6.336 (6.337) Accm: 2.24 (2.22) Acct: 3.44 (3.43) proj_loss: -0.5743 (-0.5704) time: 0.3585 data: 0.0002
[11-26 01:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:10 tlr: 0.00019 tnm: 0.34 Lm: 6.841 (6.877) Lt: 6.146 (6.190) Accm: 2.52 (2.52) Acct: 3.79 (3.94) proj_loss: -0.5654 (-0.5617) time: 0.3585 data: 0.0002
[11-26 01:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:10 tlr: 0.00019 tnm: 0.34 Lm: 6.882 (6.883) Lt: 6.200 (6.190) Accm: 2.49 (2.51) Acct: 4.06 (3.98) proj_loss: -0.5756 (-0.5756) time: 0.3585 data: 0.0003
[11-26 01:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:33 tlr: 0.00019 tnm: 0.37 Lm: 6.921 (6.925) Lt: 6.246 (6.228) Accm: 2.40 (2.40) Acct: 3.84 (3.81) proj_loss: -0.5689 (-0.5676) time: 0.3591 data: 0.0003
[11-26 01:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:33 tlr: 0.00019 tnm: 0.37 Lm: 6.982 (6.977) Lt: 6.324 (6.304) Accm: 2.25 (2.23) Acct: 3.46 (3.54) proj_loss: -0.5716 (-0.5700) time: 0.3591 data: 0.0002
[11-26 01:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:33 tlr: 0.00019 tnm: 0.37 Lm: 6.822 (6.846) Lt: 6.120 (6.157) Accm: 2.67 (2.67) Acct: 4.12 (4.22) proj_loss: -0.5658 (-0.5660) time: 0.3591 data: 0.0003
[11-26 01:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:33 tlr: 0.00019 tnm: 0.37 Lm: 6.933 (6.925) Lt: 6.250 (6.244) Accm: 2.37 (2.36) Acct: 3.74 (3.77) proj_loss: -0.5701 (-0.5719) time: 0.3591 data: 0.0003
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.941 (6.928) Lt: 6.239 (6.243) Accm: 2.46 (2.40) Acct: 3.93 (3.82) proj_loss: -0.5679 (-0.5687) time: 0.3624 data: 0.0020
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:11 (0.366 s / it)
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.970 (6.933) Lt: 6.311 (6.256) Accm: 2.26 (2.32) Acct: 3.48 (3.67) proj_loss: -0.5743 (-0.5720) time: 0.3624 data: 0.0015
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.841 (6.889) Lt: 6.146 (6.213) Accm: 2.52 (2.55) Acct: 3.79 (3.98) proj_loss: -0.5654 (-0.5655) time: 0.3624 data: 0.0020
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:11 (0.366 s / it)
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.882 (6.908) Lt: 6.200 (6.215) Accm: 2.49 (2.45) Acct: 4.05 (3.85) proj_loss: -0.5756 (-0.5698) time: 0.3624 data: 0.0016
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:11 (0.366 s / it)
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:11 (0.366 s / it)
[11-26 01:32:15] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.917 (6.939), Lt: 6.233 (6.257), Acc m&t: 2.39 3.74, Remain: 1 day, 18:56:45, Finish: 2024-11-27 04:29
[11-26 01:32:15] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.917 (6.939), Lt: 6.233 (6.257), Acc m&t: 2.39 3.74, Remain: 1 day, 18:52:39, Finish: 2024-11-27 04:24
[11-26 01:32:15] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.917 (6.939), Lt: 6.233 (6.257), Acc m&t: 2.39 3.74, Remain: 1 day, 18:53:49, Finish: 2024-11-27 04:26
[11-26 01:32:15] (/home/user/VAR/train.py , line 276)=> [ep95] (training ) Lm: 6.917 (6.939), Lt: 6.233 (6.257), Acc m&t: 2.39 3.74, Remain: 1 day, 18:54:38, Finish: 2024-11-27 04:26
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:09:37 tlr: 0.00019 tnm: 0.36 Lm: 6.890 (6.890) Lt: 6.205 (6.205) Accm: 2.37 (2.37) Acct: 3.99 (3.99) proj_loss: -0.5691 (-0.5691) time: 0.3460 data: 0.0003
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:09:36 tlr: 0.00019 tnm: 0.36 Lm: 6.907 (6.907) Lt: 6.236 (6.236) Accm: 2.32 (2.32) Acct: 3.74 (3.74) proj_loss: -0.5770 (-0.5770) time: 0.3457 data: 0.0004
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:09:47 tlr: 0.00019 tnm: 0.36 Lm: 7.010 (7.010) Lt: 6.366 (6.366) Accm: 2.15 (2.15) Acct: 3.25 (3.25) proj_loss: -0.5913 (-0.5913) time: 0.3523 data: 0.0004
[11-26 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:09:38 tlr: 0.00019 tnm: 0.36 Lm: 7.009 (7.009) Lt: 6.394 (6.394) Accm: 2.29 (2.29) Acct: 3.31 (3.31) proj_loss: -0.5779 (-0.5779) time: 0.3467 data: 0.0003
[11-26 01:34:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.34 Lm: 6.933 (6.933) Lt: 6.286 (6.286) Accm: 2.30 (2.30) Acct: 3.50 (3.50) proj_loss: -0.5727 (-0.5727) time: 0.3595 data: 0.0003
[11-26 01:34:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.34 Lm: 6.945 (6.945) Lt: 6.297 (6.297) Accm: 2.38 (2.38) Acct: 3.69 (3.69) proj_loss: -0.5899 (-0.5899) time: 0.3595 data: 0.0003
[11-26 01:34:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.34 Lm: 6.859 (6.859) Lt: 6.190 (6.190) Accm: 2.49 (2.49) Acct: 3.95 (3.95) proj_loss: -0.5662 (-0.5662) time: 0.3595 data: 0.0002
[11-26 01:34:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.34 Lm: 6.927 (6.927) Lt: 6.215 (6.215) Accm: 2.20 (2.20) Acct: 3.56 (3.56) proj_loss: -0.5644 (-0.5644) time: 0.3595 data: 0.0003
[11-26 01:37:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.35 Lm: 6.947 (6.968) Lt: 6.236 (6.261) Accm: 2.08 (2.12) Acct: 3.37 (3.47) proj_loss: -0.5704 (-0.5664) time: 0.3585 data: 0.0003
[11-26 01:37:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.35 Lm: 7.010 (6.993) Lt: 6.366 (6.334) Accm: 2.15 (2.27) Acct: 3.37 (3.59) proj_loss: -0.5886 (-0.5747) time: 0.3585 data: 0.0003
[11-26 01:37:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.35 Lm: 6.890 (6.910) Lt: 6.205 (6.238) Accm: 2.37 (2.42) Acct: 3.91 (3.82) proj_loss: -0.5632 (-0.5618) time: 0.3585 data: 0.0002
[11-26 01:37:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.35 Lm: 6.857 (6.907) Lt: 6.177 (6.239) Accm: 2.32 (2.33) Acct: 3.70 (3.60) proj_loss: -0.5676 (-0.5676) time: 0.3585 data: 0.0003
[11-26 01:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.34 Lm: 6.891 (6.912) Lt: 6.209 (6.239) Accm: 2.30 (2.31) Acct: 3.56 (3.55) proj_loss: -0.5703 (-0.5690) time: 0.3632 data: 0.0003
[11-26 01:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.34 Lm: 6.927 (6.929) Lt: 6.215 (6.224) Accm: 2.20 (2.24) Acct: 3.56 (3.59) proj_loss: -0.5674 (-0.5659) time: 0.3632 data: 0.0003
[11-26 01:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.34 Lm: 6.950 (6.935) Lt: 6.269 (6.265) Accm: 2.36 (2.40) Acct: 3.79 (3.78) proj_loss: -0.5643 (-0.5627) time: 0.3632 data: 0.0002
[11-26 01:39:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.34 Lm: 7.020 (7.002) Lt: 6.358 (6.338) Accm: 2.12 (2.22) Acct: 3.36 (3.53) proj_loss: -0.5757 (-0.5718) time: 0.3632 data: 0.0003
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 7.010 (6.993) Lt: 6.350 (6.319) Accm: 2.15 (2.22) Acct: 3.34 (3.48) proj_loss: -0.5628 (-0.5660) time: 0.3617 data: 0.0016
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:10:03 (0.361 s / it)
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.907 (6.905) Lt: 6.194 (6.198) Accm: 2.32 (2.31) Acct: 3.74 (3.71) proj_loss: -0.5704 (-0.5672) time: 0.3617 data: 0.0018
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.857 (6.884) Lt: 6.177 (6.206) Accm: 2.32 (2.42) Acct: 3.70 (3.69) proj_loss: -0.5730 (-0.5768) time: 0.3617 data: 0.0017
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.36 Lm: 6.920 (6.932) Lt: 6.211 (6.254) Accm: 2.35 (2.39) Acct: 3.84 (3.79) proj_loss: -0.5632 (-0.5628) time: 0.3617 data: 0.0014
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:10:03 (0.361 s / it)
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:10:03 (0.361 s / it)
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:10:03 (0.361 s / it)
[11-26 01:42:18] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.917 (6.935), Lt: 6.233 (6.249), Acc m&t: 2.39 3.74, Remain: 1 day, 18:35:27, Finish: 2024-11-27 04:17
[11-26 01:42:18] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.917 (6.935), Lt: 6.233 (6.249), Acc m&t: 2.39 3.74, Remain: 1 day, 18:37:18, Finish: 2024-11-27 04:19
[11-26 01:42:18] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.917 (6.935), Lt: 6.233 (6.249), Acc m&t: 2.39 3.74, Remain: 1 day, 18:36:34, Finish: 2024-11-27 04:18
[11-26 01:42:18] (/home/user/VAR/train.py , line 276)=> [ep96] (training ) Lm: 6.917 (6.935), Lt: 6.233 (6.249), Acc m&t: 2.39 3.74, Remain: 1 day, 18:36:02, Finish: 2024-11-27 04:18
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.35 Lm: 6.982 (6.982) Lt: 6.319 (6.319) Accm: 2.26 (2.26) Acct: 3.56 (3.56) proj_loss: -0.5521 (-0.5521) time: 0.3442 data: 0.0003
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.35 Lm: 6.848 (6.848) Lt: 6.127 (6.127) Accm: 2.60 (2.60) Acct: 4.01 (4.01) proj_loss: -0.5503 (-0.5503) time: 0.3441 data: 0.0003
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.35 Lm: 7.001 (7.001) Lt: 6.316 (6.316) Accm: 2.08 (2.08) Acct: 3.24 (3.24) proj_loss: -0.5722 (-0.5722) time: 0.3443 data: 0.0004
[11-26 01:42:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.35 Lm: 6.900 (6.900) Lt: 6.189 (6.189) Accm: 2.48 (2.48) Acct: 3.98 (3.98) proj_loss: -0.5530 (-0.5530) time: 0.3447 data: 0.0005
[11-26 01:44:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.36 Lm: 6.877 (6.877) Lt: 6.173 (6.173) Accm: 2.53 (2.53) Acct: 3.95 (3.95) proj_loss: -0.5599 (-0.5599) time: 0.3577 data: 0.0003
[11-26 01:44:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.36 Lm: 6.906 (6.906) Lt: 6.202 (6.202) Accm: 2.60 (2.60) Acct: 4.05 (4.05) proj_loss: -0.5617 (-0.5617) time: 0.3577 data: 0.0002
[11-26 01:44:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.36 Lm: 6.903 (6.903) Lt: 6.217 (6.217) Accm: 2.51 (2.51) Acct: 4.06 (4.06) proj_loss: -0.5653 (-0.5653) time: 0.3577 data: 0.0002
[11-26 01:44:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.36 Lm: 7.030 (7.030) Lt: 6.364 (6.364) Accm: 1.96 (1.96) Acct: 3.02 (3.02) proj_loss: -0.5558 (-0.5558) time: 0.3577 data: 0.0002
[11-26 01:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 7.001 (6.961) Lt: 6.316 (6.277) Accm: 2.08 (2.21) Acct: 3.24 (3.54) proj_loss: -0.5584 (-0.5567) time: 0.3628 data: 0.0004
[11-26 01:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.964 (6.927) Lt: 6.270 (6.225) Accm: 2.60 (2.56) Acct: 4.01 (4.03) proj_loss: -0.5685 (-0.5639) time: 0.3628 data: 0.0002
[11-26 01:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.982 (6.947) Lt: 6.319 (6.266) Accm: 2.26 (2.42) Acct: 3.56 (3.88) proj_loss: -0.5785 (-0.5719) time: 0.3628 data: 0.0003
[11-26 01:47:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 834/1669] eta: 0:05:01 tlr: 0.00019 tnm: 0.35 Lm: 6.900 (6.912) Lt: 6.189 (6.211) Accm: 2.48 (2.40) Acct: 3.93 (3.78) proj_loss: -0.5612 (-0.5603) time: 0.3629 data: 0.0003
[11-26 01:49:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:02:33 tlr: 0.00019 tnm: 0.33 Lm: 6.877 (6.888) Lt: 6.173 (6.181) Accm: 2.53 (2.48) Acct: 3.95 (3.92) proj_loss: -0.5601 (-0.5600) time: 0.3600 data: 0.0003
[11-26 01:49:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:02:33 tlr: 0.00019 tnm: 0.33 Lm: 6.957 (6.933) Lt: 6.267 (6.234) Accm: 2.53 (2.50) Acct: 4.00 (3.92) proj_loss: -0.5594 (-0.5588) time: 0.3600 data: 0.0003
[11-26 01:49:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:02:33 tlr: 0.00019 tnm: 0.33 Lm: 6.928 (6.929) Lt: 6.230 (6.235) Accm: 2.51 (2.52) Acct: 3.93 (3.98) proj_loss: -0.5653 (-0.5658) time: 0.3600 data: 0.0002
[11-26 01:49:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1251/1669] eta: 0:02:33 tlr: 0.00019 tnm: 0.33 Lm: 6.957 (6.948) Lt: 6.269 (6.263) Accm: 2.28 (2.28) Acct: 3.48 (3.58) proj_loss: -0.5589 (-0.5573) time: 0.3600 data: 0.0003
[11-26 01:52:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.947 (6.948) Lt: 6.247 (6.260) Accm: 2.41 (2.30) Acct: 3.68 (3.60) proj_loss: -0.5594 (-0.5579) time: 0.3615 data: 0.0018
[11-26 01:52:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:10:26 (0.375 s / it)
[11-26 01:52:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.889 (6.921) Lt: 6.260 (6.240) Accm: 2.39 (2.49) Acct: 3.56 (3.89) proj_loss: -0.5785 (-0.5685) time: 0.3615 data: 0.0014
[11-26 01:52:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.900 (6.906) Lt: 6.189 (6.198) Accm: 2.48 (2.43) Acct: 3.93 (3.85) proj_loss: -0.5612 (-0.5607) time: 0.3615 data: 0.0016
[11-26 01:52:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.964 (6.962) Lt: 6.270 (6.278) Accm: 2.47 (2.40) Acct: 3.99 (3.77) proj_loss: -0.5685 (-0.5633) time: 0.3615 data: 0.0022
[11-26 01:52:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:10:26 (0.375 s / it)
[11-26 01:52:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:10:26 (0.375 s / it)
[11-26 01:52:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 97/350] Total time: 0:10:26 (0.375 s / it)
[11-26 01:52:44] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.917 (6.930), Lt: 6.233 (6.248), Acc m&t: 2.39 3.74, Remain: 1 day, 18:14:27, Finish: 2024-11-27 04:07
[11-26 01:52:44] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.917 (6.930), Lt: 6.233 (6.248), Acc m&t: 2.39 3.74, Remain: 1 day, 18:14:26, Finish: 2024-11-27 04:07
[11-26 01:52:44] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.917 (6.930), Lt: 6.233 (6.248), Acc m&t: 2.39 3.74, Remain: 1 day, 18:14:28, Finish: 2024-11-27 04:07
[11-26 01:52:44] (/home/user/VAR/train.py , line 276)=> [ep97] (training ) Lm: 6.917 (6.930), Lt: 6.233 (6.248), Acc m&t: 2.39 3.74, Remain: 1 day, 18:13:41, Finish: 2024-11-27 04:06
[11-26 01:52:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:09:37 tlr: 0.00019 tnm: 0.36 Lm: 6.873 (6.873) Lt: 6.142 (6.142) Accm: 2.75 (2.75) Acct: 4.75 (4.75) proj_loss: -0.5475 (-0.5475) time: 0.3458 data: 0.0003
[11-26 01:52:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:09:30 tlr: 0.00019 tnm: 0.36 Lm: 6.914 (6.914) Lt: 6.247 (6.247) Accm: 2.53 (2.53) Acct: 4.06 (4.06) proj_loss: -0.5777 (-0.5777) time: 0.3420 data: 0.0004
[11-26 01:52:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:09:31 tlr: 0.00019 tnm: 0.36 Lm: 6.939 (6.939) Lt: 6.317 (6.317) Accm: 2.13 (2.13) Acct: 3.20 (3.20) proj_loss: -0.5549 (-0.5549) time: 0.3421 data: 0.0004
[11-26 01:52:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 0/1669] eta: 0:09:31 tlr: 0.00019 tnm: 0.36 Lm: 6.790 (6.790) Lt: 6.095 (6.095) Accm: 2.70 (2.70) Acct: 4.08 (4.08) proj_loss: -0.5808 (-0.5808) time: 0.3426 data: 0.0003
[11-26 01:55:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:07:38 tlr: 0.00019 tnm: 0.34 Lm: 6.828 (6.828) Lt: 6.163 (6.163) Accm: 2.63 (2.63) Acct: 3.93 (3.93) proj_loss: -0.5839 (-0.5839) time: 0.3630 data: 0.0003
[11-26 01:55:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:07:38 tlr: 0.00019 tnm: 0.34 Lm: 6.942 (6.942) Lt: 6.248 (6.248) Accm: 2.50 (2.50) Acct: 4.12 (4.12) proj_loss: -0.5579 (-0.5579) time: 0.3630 data: 0.0002
[11-26 01:55:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:07:38 tlr: 0.00019 tnm: 0.34 Lm: 6.953 (6.953) Lt: 6.270 (6.270) Accm: 2.44 (2.44) Acct: 3.98 (3.98) proj_loss: -0.5834 (-0.5834) time: 0.3630 data: 0.0003
[11-26 01:55:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 417/1669] eta: 0:07:38 tlr: 0.00019 tnm: 0.34 Lm: 6.898 (6.898) Lt: 6.235 (6.235) Accm: 2.44 (2.44) Acct: 3.73 (3.73) proj_loss: -0.5586 (-0.5586) time: 0.3630 data: 0.0003
[11-26 01:57:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.35 Lm: 6.858 (6.859) Lt: 6.154 (6.197) Accm: 2.53 (2.47) Acct: 3.91 (3.79) proj_loss: -0.5624 (-0.5641) time: 0.3609 data: 0.0003
[11-26 01:57:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.35 Lm: 6.992 (6.975) Lt: 6.292 (6.308) Accm: 2.35 (2.36) Acct: 3.89 (3.74) proj_loss: -0.5890 (-0.5897) time: 0.3609 data: 0.0003
[11-26 01:57:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.35 Lm: 6.865 (6.868) Lt: 6.231 (6.209) Accm: 2.55 (2.45) Acct: 3.79 (3.71) proj_loss: -0.5808 (-0.5827) time: 0.3609 data: 0.0003
[11-26 01:57:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [ 834/1669] eta: 0:05:03 tlr: 0.00019 tnm: 0.35 Lm: 6.997 (6.960) Lt: 6.309 (6.268) Accm: 2.25 (2.38) Acct: 3.50 (3.90) proj_loss: -0.5541 (-0.5566) time: 0.3609 data: 0.0002
[11-26 02:00:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.34 Lm: 6.935 (6.934) Lt: 6.248 (6.248) Accm: 2.45 (2.45) Acct: 3.84 (3.97) proj_loss: -0.5612 (-0.5625) time: 0.3601 data: 0.0002
[11-26 02:00:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.34 Lm: 6.953 (6.955) Lt: 6.270 (6.277) Accm: 2.31 (2.34) Acct: 3.74 (3.71) proj_loss: -0.5834 (-0.5845) time: 0.3601 data: 0.0003
[11-26 02:00:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.34 Lm: 6.906 (6.898) Lt: 6.263 (6.230) Accm: 2.35 (2.38) Acct: 3.56 (3.61) proj_loss: -0.5805 (-0.5729) time: 0.3601 data: 0.0003
[11-26 02:00:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1251/1669] eta: 0:02:31 tlr: 0.00019 tnm: 0.34 Lm: 6.851 (6.856) Lt: 6.169 (6.194) Accm: 2.47 (2.45) Acct: 3.82 (3.77) proj_loss: -0.5649 (-0.5649) time: 0.3601 data: 0.0003
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.845 (6.847) Lt: 6.154 (6.175) Accm: 2.53 (2.50) Acct: 3.91 (3.86) proj_loss: -0.5627 (-0.5645) time: 0.3616 data: 0.0018
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:10:04 (0.362 s / it)
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.865 (6.882) Lt: 6.231 (6.195) Accm: 2.55 (2.41) Acct: 3.79 (3.72) proj_loss: -0.5802 (-0.5735) time: 0.3616 data: 0.0016
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.929 (6.950) Lt: 6.265 (6.275) Accm: 2.27 (2.31) Acct: 3.60 (3.65) proj_loss: -0.5890 (-0.5866) time: 0.3616 data: 0.0019
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 98/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.873 (6.912) Lt: 6.188 (6.224) Accm: 2.65 (2.55) Acct: 4.18 (4.13) proj_loss: -0.5683 (-0.5644) time: 0.3616 data: 0.0015
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:10:04 (0.362 s / it)
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:10:04 (0.362 s / it)
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 98/350] Total time: 0:10:04 (0.362 s / it)
[11-26 02:02:49] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.917 (6.926), Lt: 6.233 (6.241), Acc m&t: 2.39 3.74, Remain: 1 day, 18:13:36, Finish: 2024-11-27 04:16
[11-26 02:02:49] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.917 (6.926), Lt: 6.233 (6.241), Acc m&t: 2.39 3.74, Remain: 1 day, 18:14:35, Finish: 2024-11-27 04:17
[11-26 02:02:49] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.917 (6.926), Lt: 6.233 (6.241), Acc m&t: 2.39 3.74, Remain: 1 day, 18:15:48, Finish: 2024-11-27 04:18
[11-26 02:02:49] (/home/user/VAR/train.py , line 276)=> [ep98] (training ) Lm: 6.917 (6.926), Lt: 6.233 (6.241), Acc m&t: 2.39 3.74, Remain: 1 day, 18:13:40, Finish: 2024-11-27 04:16
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:09:34 tlr: 0.00019 tnm: 0.35 Lm: 6.933 (6.933) Lt: 6.233 (6.233) Accm: 2.31 (2.31) Acct: 3.82 (3.82) proj_loss: -0.5689 (-0.5689) time: 0.3443 data: 0.0003
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.35 Lm: 6.768 (6.768) Lt: 6.086 (6.086) Accm: 2.68 (2.68) Acct: 4.20 (4.20) proj_loss: -0.5514 (-0.5514) time: 0.3446 data: 0.0004
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:09:35 tlr: 0.00019 tnm: 0.35 Lm: 6.921 (6.921) Lt: 6.232 (6.232) Accm: 2.08 (2.08) Acct: 3.31 (3.31) proj_loss: -0.5685 (-0.5685) time: 0.3450 data: 0.0004
[11-26 02:02:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 0/1669] eta: 0:09:47 tlr: 0.00019 tnm: 0.35 Lm: 6.911 (6.911) Lt: 6.277 (6.277) Accm: 2.19 (2.19) Acct: 3.22 (3.22) proj_loss: -0.5760 (-0.5760) time: 0.3518 data: 0.0003
[11-26 02:05:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.37 Lm: 6.927 (6.927) Lt: 6.279 (6.279) Accm: 2.19 (2.19) Acct: 3.49 (3.49) proj_loss: -0.5714 (-0.5714) time: 0.3590 data: 0.0003
[11-26 02:05:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.37 Lm: 6.907 (6.907) Lt: 6.247 (6.247) Accm: 2.18 (2.18) Acct: 3.37 (3.37) proj_loss: -0.5668 (-0.5668) time: 0.3590 data: 0.0003
[11-26 02:05:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.37 Lm: 6.969 (6.969) Lt: 6.280 (6.280) Accm: 2.21 (2.21) Acct: 3.56 (3.56) proj_loss: -0.5659 (-0.5659) time: 0.3590 data: 0.0002
[11-26 02:05:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 417/1669] eta: 0:07:31 tlr: 0.00019 tnm: 0.37 Lm: 6.832 (6.832) Lt: 6.131 (6.131) Accm: 2.65 (2.65) Acct: 4.22 (4.22) proj_loss: -0.5624 (-0.5624) time: 0.3590 data: 0.0003
[11-26 02:07:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.897 (6.865) Lt: 6.177 (6.176) Accm: 2.62 (2.58) Acct: 4.20 (4.01) proj_loss: -0.5557 (-0.5601) time: 0.3979 data: 0.0003
[11-26 02:07:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.921 (6.931) Lt: 6.232 (6.238) Accm: 2.22 (2.19) Acct: 3.43 (3.45) proj_loss: -0.5652 (-0.5613) time: 0.3979 data: 0.0003
[11-26 02:07:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.933 (6.922) Lt: 6.233 (6.220) Accm: 2.31 (2.32) Acct: 3.82 (3.75) proj_loss: -0.5689 (-0.5688) time: 0.3979 data: 0.0002
[11-26 02:07:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [ 834/1669] eta: 0:05:02 tlr: 0.00019 tnm: 0.34 Lm: 6.943 (6.935) Lt: 6.282 (6.281) Accm: 2.19 (2.22) Acct: 3.67 (3.55) proj_loss: -0.5668 (-0.5681) time: 0.3979 data: 0.0003
[11-26 02:10:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.948 (6.955) Lt: 6.283 (6.303) Accm: 2.19 (2.18) Acct: 3.44 (3.40) proj_loss: -0.5714 (-0.5742) time: 0.3603 data: 0.0003
[11-26 02:10:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.879 (6.865) Lt: 6.181 (6.178) Accm: 2.53 (2.52) Acct: 3.90 (3.91) proj_loss: -0.5645 (-0.5654) time: 0.3603 data: 0.0003
[11-26 02:10:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.880 (6.876) Lt: 6.166 (6.159) Accm: 2.42 (2.38) Acct: 3.99 (3.89) proj_loss: -0.5717 (-0.5725) time: 0.3603 data: 0.0002
[11-26 02:10:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.923 (6.930) Lt: 6.232 (6.236) Accm: 2.25 (2.23) Acct: 3.45 (3.46) proj_loss: -0.5577 (-0.5580) time: 0.3603 data: 0.0003
[11-26 02:12:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.921 (6.926) Lt: 6.232 (6.236) Accm: 2.27 (2.27) Acct: 3.48 (3.51) proj_loss: -0.5652 (-0.5646) time: 0.3668 data: 0.0020
[11-26 02:12:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:10:03 (0.362 s / it)
[11-26 02:12:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.927 (6.886) Lt: 6.233 (6.174) Accm: 2.31 (2.35) Acct: 3.82 (3.79) proj_loss: -0.5745 (-0.5739) time: 0.3668 data: 0.0017
[11-26 02:12:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.862 (6.862) Lt: 6.177 (6.165) Accm: 2.54 (2.52) Acct: 3.93 (3.91) proj_loss: -0.5733 (-0.5676) time: 0.3668 data: 0.0019
[11-26 02:12:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 99/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.952 (6.982) Lt: 6.283 (6.322) Accm: 2.19 (2.19) Acct: 3.44 (3.41) proj_loss: -0.5708 (-0.5735) time: 0.3668 data: 0.0018
[11-26 02:12:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:10:03 (0.362 s / it)
[11-26 02:12:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:10:03 (0.362 s / it)
[11-26 02:12:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 99/350] Total time: 0:10:03 (0.362 s / it)
[11-26 02:14:58] (home/user/VAR/trainer.py, line 114)=> FID: 5.168805507236584
[11-26 02:14:58] (/home/user/VAR/train.py , line 259)=> [*] [ep99] (val 50000) Lm: 6.9167, Lt: 6.2336, Acc m&t: 2.39 3.74, Val cost: 125.33s
[11-26 02:14:58] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 02:15:24] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.917 (6.917), Lt: 6.233 (6.234), Acc m&t: 2.39 3.74, Remain: 1 day, 18:34:28, Finish: 2024-11-27 04:47
[11-26 02:15:24] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.917 (6.917), Lt: 6.233 (6.234), Acc m&t: 2.39 3.74, Remain: 1 day, 18:35:16, Finish: 2024-11-27 04:48
[11-26 02:15:24] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.917 (6.917), Lt: 6.233 (6.234), Acc m&t: 2.39 3.74, Remain: 1 day, 18:34:05, Finish: 2024-11-27 04:46
[11-26 02:15:24] (/home/user/VAR/train.py , line 276)=> [ep99] (training ) Lm: 6.917 (6.917), Lt: 6.233 (6.234), Acc m&t: 2.39 3.74, Remain: 1 day, 18:33:38, Finish: 2024-11-27 04:46
[11-26 02:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:09:56 tlr: 0.00018 tnm: 0.35 Lm: 6.993 (6.993) Lt: 6.248 (6.248) Accm: 2.33 (2.33) Acct: 3.75 (3.75) proj_loss: -0.5698 (-0.5698) time: 0.3575 data: 0.0004
[11-26 02:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:09:59 tlr: 0.00018 tnm: 0.35 Lm: 6.823 (6.823) Lt: 6.143 (6.143) Accm: 2.59 (2.59) Acct: 4.12 (4.12) proj_loss: -0.5715 (-0.5715) time: 0.3594 data: 0.0004
[11-26 02:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:09:59 tlr: 0.00018 tnm: 0.35 Lm: 6.861 (6.861) Lt: 6.217 (6.217) Accm: 2.45 (2.45) Acct: 3.75 (3.75) proj_loss: -0.5788 (-0.5788) time: 0.3592 data: 0.0003
[11-26 02:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 0/1669] eta: 0:09:53 tlr: 0.00018 tnm: 0.35 Lm: 6.927 (6.927) Lt: 6.283 (6.283) Accm: 2.52 (2.52) Acct: 4.12 (4.12) proj_loss: -0.5754 (-0.5754) time: 0.3554 data: 0.0004
[11-26 02:17:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.36 Lm: 6.951 (6.951) Lt: 6.295 (6.295) Accm: 2.30 (2.30) Acct: 3.72 (3.72) proj_loss: -0.5739 (-0.5739) time: 0.3595 data: 0.0003
[11-26 02:17:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.36 Lm: 6.953 (6.953) Lt: 6.237 (6.237) Accm: 2.42 (2.42) Acct: 3.86 (3.86) proj_loss: -0.5720 (-0.5720) time: 0.3595 data: 0.0003
[11-26 02:17:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.36 Lm: 6.939 (6.939) Lt: 6.269 (6.269) Accm: 2.27 (2.27) Acct: 3.56 (3.56) proj_loss: -0.5737 (-0.5737) time: 0.3595 data: 0.0002
[11-26 02:17:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.36 Lm: 6.873 (6.873) Lt: 6.232 (6.232) Accm: 2.49 (2.49) Acct: 3.82 (3.82) proj_loss: -0.5714 (-0.5714) time: 0.3595 data: 0.0003
[11-26 02:20:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.34 Lm: 6.923 (6.906) Lt: 6.307 (6.257) Accm: 2.40 (2.41) Acct: 3.53 (3.72) proj_loss: -0.5715 (-0.5745) time: 0.4076 data: 0.0003
[11-26 02:20:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.34 Lm: 6.993 (6.979) Lt: 6.248 (6.269) Accm: 2.33 (2.29) Acct: 3.75 (3.71) proj_loss: -0.5698 (-0.5667) time: 0.4076 data: 0.0003
[11-26 02:20:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.34 Lm: 6.861 (6.913) Lt: 6.217 (6.225) Accm: 2.38 (2.31) Acct: 3.74 (3.62) proj_loss: -0.5788 (-0.5793) time: 0.4076 data: 0.0003
[11-26 02:20:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [ 834/1669] eta: 0:05:03 tlr: 0.00018 tnm: 0.34 Lm: 6.974 (6.974) Lt: 6.308 (6.304) Accm: 2.08 (2.18) Acct: 3.32 (3.54) proj_loss: -0.5723 (-0.5604) time: 0.4076 data: 0.0003
[11-26 02:23:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:02:36 tlr: 0.00018 tnm: 0.35 Lm: 6.997 (6.995) Lt: 6.314 (6.337) Accm: 2.01 (2.12) Acct: 3.25 (3.37) proj_loss: -0.5698 (-0.5621) time: 0.4485 data: 0.0003
[11-26 02:23:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:02:36 tlr: 0.00018 tnm: 0.35 Lm: 6.953 (6.960) Lt: 6.237 (6.249) Accm: 2.41 (2.34) Acct: 3.74 (3.71) proj_loss: -0.5629 (-0.5623) time: 0.4485 data: 0.0003
[11-26 02:23:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:02:36 tlr: 0.00018 tnm: 0.35 Lm: 6.947 (6.936) Lt: 6.301 (6.267) Accm: 2.32 (2.34) Acct: 3.52 (3.63) proj_loss: -0.5714 (-0.5716) time: 0.4485 data: 0.0002
[11-26 02:23:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1251/1669] eta: 0:02:36 tlr: 0.00018 tnm: 0.35 Lm: 6.874 (6.906) Lt: 6.209 (6.219) Accm: 2.36 (2.31) Acct: 3.74 (3.66) proj_loss: -0.5745 (-0.5770) time: 0.4485 data: 0.0002
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.887 (6.918) Lt: 6.217 (6.227) Accm: 2.34 (2.29) Acct: 3.74 (3.60) proj_loss: -0.5703 (-0.5751) time: 0.3614 data: 0.0014
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:10:28 (0.377 s / it)
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.913 (6.946) Lt: 6.233 (6.246) Accm: 2.33 (2.31) Acct: 3.74 (3.67) proj_loss: -0.5698 (-0.5644) time: 0.3614 data: 0.0015
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.972 (6.946) Lt: 6.307 (6.279) Accm: 2.24 (2.30) Acct: 3.51 (3.61) proj_loss: -0.5714 (-0.5695) time: 0.3614 data: 0.0015
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 100/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.974 (6.983) Lt: 6.308 (6.318) Accm: 2.08 (2.17) Acct: 3.32 (3.42) proj_loss: -0.5672 (-0.5630) time: 0.3614 data: 0.0020
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:10:28 (0.377 s / it)
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:10:28 (0.377 s / it)
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 100/350] Total time: 0:10:28 (0.377 s / it)
[11-26 02:25:53] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.917 (6.929), Lt: 6.233 (6.243), Acc m&t: 2.39 3.74, Remain: 1 day, 17:56:32, Finish: 2024-11-27 04:22
[11-26 02:25:53] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.917 (6.929), Lt: 6.233 (6.243), Acc m&t: 2.39 3.74, Remain: 1 day, 17:57:28, Finish: 2024-11-27 04:23
[11-26 02:25:53] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.917 (6.929), Lt: 6.233 (6.243), Acc m&t: 2.39 3.74, Remain: 1 day, 17:56:11, Finish: 2024-11-27 04:22
[11-26 02:25:53] (/home/user/VAR/train.py , line 276)=> [ep100] (training ) Lm: 6.917 (6.929), Lt: 6.233 (6.243), Acc m&t: 2.39 3.74, Remain: 1 day, 17:56:50, Finish: 2024-11-27 04:22
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:09:48 tlr: 0.00018 tnm: 0.33 Lm: 6.868 (6.868) Lt: 6.190 (6.190) Accm: 2.34 (2.34) Acct: 3.29 (3.29) proj_loss: -0.5597 (-0.5597) time: 0.3528 data: 0.0003
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:09:46 tlr: 0.00018 tnm: 0.33 Lm: 6.940 (6.940) Lt: 6.230 (6.230) Accm: 2.21 (2.21) Acct: 3.55 (3.55) proj_loss: -0.5526 (-0.5526) time: 0.3514 data: 0.0004
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:09:44 tlr: 0.00018 tnm: 0.33 Lm: 7.032 (7.032) Lt: 6.353 (6.353) Accm: 2.06 (2.06) Acct: 3.37 (3.37) proj_loss: -0.5608 (-0.5608) time: 0.3504 data: 0.0004
[11-26 02:25:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 0/1669] eta: 0:09:50 tlr: 0.00018 tnm: 0.33 Lm: 6.959 (6.959) Lt: 6.316 (6.316) Accm: 2.12 (2.12) Acct: 3.46 (3.46) proj_loss: -0.5854 (-0.5854) time: 0.3539 data: 0.0004
[11-26 02:28:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.34 Lm: 6.979 (6.979) Lt: 6.322 (6.322) Accm: 2.09 (2.09) Acct: 3.38 (3.38) proj_loss: -0.5775 (-0.5775) time: 0.3581 data: 0.0003
[11-26 02:28:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.34 Lm: 6.929 (6.929) Lt: 6.252 (6.252) Accm: 2.32 (2.32) Acct: 3.43 (3.43) proj_loss: -0.5678 (-0.5678) time: 0.3581 data: 0.0003
[11-26 02:28:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.34 Lm: 6.888 (6.888) Lt: 6.188 (6.188) Accm: 2.35 (2.35) Acct: 3.87 (3.87) proj_loss: -0.5690 (-0.5690) time: 0.3581 data: 0.0003
[11-26 02:28:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.34 Lm: 7.018 (7.018) Lt: 6.340 (6.340) Accm: 2.03 (2.03) Acct: 3.18 (3.18) proj_loss: -0.5548 (-0.5548) time: 0.3581 data: 0.0003
[11-26 02:30:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:05:00 tlr: 0.00018 tnm: 0.39 Lm: 7.004 (7.013) Lt: 6.326 (6.335) Accm: 2.06 (2.10) Acct: 3.37 (3.31) proj_loss: -0.5608 (-0.5661) time: 0.3574 data: 0.0003
[11-26 02:30:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:05:00 tlr: 0.00018 tnm: 0.39 Lm: 6.884 (6.914) Lt: 6.190 (6.219) Accm: 2.31 (2.30) Acct: 3.58 (3.50) proj_loss: -0.5676 (-0.5677) time: 0.3574 data: 0.0002
[11-26 02:30:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:05:00 tlr: 0.00018 tnm: 0.39 Lm: 6.940 (6.989) Lt: 6.230 (6.325) Accm: 2.21 (2.19) Acct: 3.55 (3.50) proj_loss: -0.5841 (-0.5740) time: 0.3574 data: 0.0003
[11-26 02:30:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [ 834/1669] eta: 0:05:00 tlr: 0.00018 tnm: 0.39 Lm: 6.959 (6.939) Lt: 6.316 (6.263) Accm: 2.12 (2.27) Acct: 3.46 (3.57) proj_loss: -0.5696 (-0.5650) time: 0.3574 data: 0.0003
[11-26 02:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.34 Lm: 6.917 (6.923) Lt: 6.231 (6.229) Accm: 2.27 (2.31) Acct: 3.70 (3.70) proj_loss: -0.5623 (-0.5625) time: 0.3582 data: 0.0002
[11-26 02:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.34 Lm: 6.895 (6.912) Lt: 6.190 (6.212) Accm: 2.32 (2.37) Acct: 3.61 (3.69) proj_loss: -0.5718 (-0.5733) time: 0.3582 data: 0.0002
[11-26 02:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.34 Lm: 6.927 (6.971) Lt: 6.240 (6.307) Accm: 2.32 (2.25) Acct: 3.61 (3.54) proj_loss: -0.5785 (-0.5738) time: 0.3582 data: 0.0003
[11-26 02:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.34 Lm: 7.003 (6.993) Lt: 6.325 (6.314) Accm: 2.15 (2.20) Acct: 3.48 (3.47) proj_loss: -0.5670 (-0.5679) time: 0.3582 data: 0.0003
[11-26 02:35:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 7.002 (6.957) Lt: 6.324 (6.272) Accm: 2.24 (2.24) Acct: 3.53 (3.48) proj_loss: -0.5732 (-0.5693) time: 0.3624 data: 0.0015
[11-26 02:35:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:10:01 (0.360 s / it)
[11-26 02:35:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.959 (6.957) Lt: 6.316 (6.270) Accm: 2.12 (2.24) Acct: 3.46 (3.59) proj_loss: -0.5696 (-0.5656) time: 0.3623 data: 0.0016
[11-26 02:35:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.884 (6.902) Lt: 6.190 (6.202) Accm: 2.34 (2.40) Acct: 3.63 (3.81) proj_loss: -0.5755 (-0.5737) time: 0.3624 data: 0.0015
[11-26 02:35:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 101/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.34 Lm: 6.940 (6.970) Lt: 6.250 (6.301) Accm: 2.27 (2.25) Acct: 3.55 (3.54) proj_loss: -0.5730 (-0.5732) time: 0.3624 data: 0.0016
[11-26 02:35:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:10:01 (0.360 s / it)
[11-26 02:35:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:10:01 (0.360 s / it)
[11-26 02:35:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 101/350] Total time: 0:10:01 (0.360 s / it)
[11-26 02:35:54] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.917 (6.919), Lt: 6.231 (6.231), Acc m&t: 2.39 3.74, Remain: 1 day, 17:35:21, Finish: 2024-11-27 04:11
[11-26 02:35:54] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.917 (6.919), Lt: 6.231 (6.231), Acc m&t: 2.39 3.74, Remain: 1 day, 17:37:13, Finish: 2024-11-27 04:13
[11-26 02:35:54] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.917 (6.919), Lt: 6.231 (6.231), Acc m&t: 2.39 3.74, Remain: 1 day, 17:37:59, Finish: 2024-11-27 04:13
[11-26 02:35:54] (/home/user/VAR/train.py , line 276)=> [ep101] (training ) Lm: 6.917 (6.919), Lt: 6.231 (6.231), Acc m&t: 2.39 3.74, Remain: 1 day, 17:37:53, Finish: 2024-11-27 04:13
[11-26 02:35:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:09:56 tlr: 0.00018 tnm: 0.35 Lm: 6.975 (6.975) Lt: 6.322 (6.322) Accm: 2.29 (2.29) Acct: 3.39 (3.39) proj_loss: -0.5652 (-0.5652) time: 0.3576 data: 0.0003
[11-26 02:35:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:10:30 tlr: 0.00018 tnm: 0.35 Lm: 7.096 (7.096) Lt: 6.426 (6.426) Accm: 2.04 (2.04) Acct: 3.27 (3.27) proj_loss: -0.5720 (-0.5720) time: 0.3780 data: 0.0003
[11-26 02:35:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:09:57 tlr: 0.00018 tnm: 0.35 Lm: 6.696 (6.696) Lt: 6.019 (6.019) Accm: 3.00 (3.00) Acct: 4.53 (4.53) proj_loss: -0.5667 (-0.5667) time: 0.3580 data: 0.0004
[11-26 02:35:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 0/1669] eta: 0:09:58 tlr: 0.00018 tnm: 0.35 Lm: 7.052 (7.052) Lt: 6.388 (6.388) Accm: 2.04 (2.04) Acct: 3.25 (3.25) proj_loss: -0.5750 (-0.5750) time: 0.3585 data: 0.0004
[11-26 02:38:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.32 Lm: 6.962 (6.962) Lt: 6.255 (6.255) Accm: 2.18 (2.18) Acct: 3.35 (3.35) proj_loss: -0.5708 (-0.5708) time: 0.3603 data: 0.0003
[11-26 02:38:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.32 Lm: 7.017 (7.017) Lt: 6.359 (6.359) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: -0.5678 (-0.5678) time: 0.3603 data: 0.0003
[11-26 02:38:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.32 Lm: 6.973 (6.973) Lt: 6.278 (6.278) Accm: 2.25 (2.25) Acct: 3.50 (3.50) proj_loss: -0.5588 (-0.5588) time: 0.3603 data: 0.0002
[11-26 02:38:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.32 Lm: 6.843 (6.843) Lt: 6.183 (6.183) Accm: 2.59 (2.59) Acct: 3.97 (3.97) proj_loss: -0.5739 (-0.5739) time: 0.3603 data: 0.0003
[11-26 02:40:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.39 Lm: 6.897 (6.861) Lt: 6.225 (6.197) Accm: 2.25 (2.47) Acct: 3.41 (3.78) proj_loss: -0.5719 (-0.5732) time: 0.3584 data: 0.0003
[11-26 02:40:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.39 Lm: 6.938 (6.941) Lt: 6.292 (6.284) Accm: 2.37 (2.35) Acct: 3.58 (3.60) proj_loss: -0.5637 (-0.5612) time: 0.3584 data: 0.0002
[11-26 02:40:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.39 Lm: 7.052 (6.992) Lt: 6.388 (6.299) Accm: 2.04 (2.11) Acct: 3.31 (3.33) proj_loss: -0.5666 (-0.5625) time: 0.3584 data: 0.0003
[11-26 02:40:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.39 Lm: 6.971 (6.921) Lt: 6.233 (6.232) Accm: 2.29 (2.34) Acct: 3.62 (3.64) proj_loss: -0.5652 (-0.5639) time: 0.3584 data: 0.0002
[11-26 02:43:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.913 (6.905) Lt: 6.187 (6.207) Accm: 2.40 (2.43) Acct: 3.77 (3.86) proj_loss: -0.5697 (-0.5709) time: 0.3626 data: 0.0002
[11-26 02:43:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.955 (6.949) Lt: 6.282 (6.281) Accm: 2.31 (2.32) Acct: 3.56 (3.59) proj_loss: -0.5678 (-0.5647) time: 0.3626 data: 0.0002
[11-26 02:43:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 7.051 (7.006) Lt: 6.388 (6.324) Accm: 2.12 (2.13) Acct: 3.37 (3.41) proj_loss: -0.5579 (-0.5592) time: 0.3626 data: 0.0003
[11-26 02:43:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.880 (6.861) Lt: 6.215 (6.199) Accm: 2.32 (2.45) Acct: 3.50 (3.73) proj_loss: -0.5693 (-0.5679) time: 0.3626 data: 0.0003
[11-26 02:45:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.897 (6.898) Lt: 6.225 (6.238) Accm: 2.25 (2.41) Acct: 3.60 (3.71) proj_loss: -0.5719 (-0.5725) time: 0.3626 data: 0.0019
[11-26 02:45:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:10:02 (0.361 s / it)
[11-26 02:45:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.938 (6.935) Lt: 6.272 (6.259) Accm: 2.37 (2.40) Acct: 3.58 (3.76) proj_loss: -0.5720 (-0.5677) time: 0.3626 data: 0.0016
[11-26 02:45:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.949 (6.913) Lt: 6.233 (6.226) Accm: 2.29 (2.38) Acct: 3.62 (3.76) proj_loss: -0.5652 (-0.5661) time: 0.3626 data: 0.0015
[11-26 02:45:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 102/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 7.050 (7.001) Lt: 6.388 (6.317) Accm: 2.19 (2.15) Acct: 3.44 (3.50) proj_loss: -0.5666 (-0.5630) time: 0.3626 data: 0.0016
[11-26 02:45:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:10:02 (0.361 s / it)
[11-26 02:45:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:10:02 (0.361 s / it)
[11-26 02:45:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 102/350] Total time: 0:10:02 (0.361 s / it)
[11-26 02:45:57] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.917 (6.918), Lt: 6.230 (6.230), Acc m&t: 2.39 3.75, Remain: 1 day, 17:33:55, Finish: 2024-11-27 04:19
[11-26 02:45:57] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.917 (6.918), Lt: 6.230 (6.230), Acc m&t: 2.39 3.75, Remain: 1 day, 17:33:19, Finish: 2024-11-27 04:19
[11-26 02:45:57] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.917 (6.918), Lt: 6.230 (6.230), Acc m&t: 2.39 3.75, Remain: 1 day, 17:34:17, Finish: 2024-11-27 04:20
[11-26 02:45:57] (/home/user/VAR/train.py , line 276)=> [ep102] (training ) Lm: 6.917 (6.918), Lt: 6.230 (6.230), Acc m&t: 2.39 3.75, Remain: 1 day, 17:33:58, Finish: 2024-11-27 04:19
[11-26 02:45:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:09:33 tlr: 0.00018 tnm: 0.37 Lm: 6.989 (6.989) Lt: 6.283 (6.283) Accm: 2.27 (2.27) Acct: 3.91 (3.91) proj_loss: -0.5618 (-0.5618) time: 0.3437 data: 0.0004
[11-26 02:45:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:09:33 tlr: 0.00018 tnm: 0.37 Lm: 6.896 (6.896) Lt: 6.208 (6.208) Accm: 2.41 (2.41) Acct: 3.84 (3.84) proj_loss: -0.5670 (-0.5670) time: 0.3438 data: 0.0003
[11-26 02:45:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:09:35 tlr: 0.00018 tnm: 0.37 Lm: 6.919 (6.919) Lt: 6.228 (6.228) Accm: 2.65 (2.65) Acct: 4.10 (4.10) proj_loss: -0.5679 (-0.5679) time: 0.3445 data: 0.0004
[11-26 02:45:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 0/1669] eta: 0:09:35 tlr: 0.00018 tnm: 0.37 Lm: 6.840 (6.840) Lt: 6.141 (6.141) Accm: 2.59 (2.59) Acct: 3.91 (3.91) proj_loss: -0.5591 (-0.5591) time: 0.3451 data: 0.0004
[11-26 02:48:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.876 (6.876) Lt: 6.192 (6.192) Accm: 2.40 (2.40) Acct: 3.66 (3.66) proj_loss: -0.5629 (-0.5629) time: 0.3609 data: 0.0003
[11-26 02:48:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.902 (6.902) Lt: 6.232 (6.232) Accm: 2.41 (2.41) Acct: 3.62 (3.62) proj_loss: -0.5796 (-0.5796) time: 0.3609 data: 0.0003
[11-26 02:48:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.884 (6.884) Lt: 6.198 (6.198) Accm: 2.51 (2.51) Acct: 3.91 (3.91) proj_loss: -0.5745 (-0.5745) time: 0.3609 data: 0.0003
[11-26 02:48:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.902 (6.902) Lt: 6.167 (6.167) Accm: 2.50 (2.50) Acct: 4.13 (4.13) proj_loss: -0.5535 (-0.5535) time: 0.3609 data: 0.0002
[11-26 02:51:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:05:10 tlr: 0.00018 tnm: 0.33 Lm: 6.894 (6.899) Lt: 6.212 (6.182) Accm: 2.67 (2.55) Acct: 4.17 (4.14) proj_loss: -0.5618 (-0.5578) time: 0.4296 data: 0.0002
[11-26 02:51:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:05:10 tlr: 0.00018 tnm: 0.33 Lm: 6.896 (6.875) Lt: 6.208 (6.195) Accm: 2.41 (2.50) Acct: 3.84 (3.78) proj_loss: -0.5697 (-0.5763) time: 0.4296 data: 0.0003
[11-26 02:51:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:05:10 tlr: 0.00018 tnm: 0.33 Lm: 6.919 (6.922) Lt: 6.228 (6.242) Accm: 2.37 (2.30) Acct: 3.72 (3.63) proj_loss: -0.5679 (-0.5690) time: 0.4296 data: 0.0003
[11-26 02:51:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [ 834/1669] eta: 0:05:10 tlr: 0.00018 tnm: 0.33 Lm: 6.912 (6.910) Lt: 6.243 (6.231) Accm: 2.21 (2.29) Acct: 3.41 (3.55) proj_loss: -0.5667 (-0.5660) time: 0.4296 data: 0.0003
[11-26 02:53:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:02:38 tlr: 0.00018 tnm: 0.35 Lm: 6.911 (6.910) Lt: 6.236 (6.230) Accm: 2.23 (2.28) Acct: 3.50 (3.56) proj_loss: -0.5694 (-0.5701) time: 0.3612 data: 0.0003
[11-26 02:53:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:02:38 tlr: 0.00018 tnm: 0.35 Lm: 6.902 (6.885) Lt: 6.200 (6.194) Accm: 2.44 (2.49) Acct: 3.98 (3.87) proj_loss: -0.5684 (-0.5713) time: 0.3612 data: 0.0002
[11-26 02:53:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:02:38 tlr: 0.00018 tnm: 0.35 Lm: 6.886 (6.905) Lt: 6.209 (6.229) Accm: 2.39 (2.33) Acct: 3.77 (3.68) proj_loss: -0.5741 (-0.5718) time: 0.3612 data: 0.0003
[11-26 02:53:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1251/1669] eta: 0:02:38 tlr: 0.00018 tnm: 0.35 Lm: 6.920 (6.911) Lt: 6.236 (6.201) Accm: 2.47 (2.47) Acct: 4.04 (3.97) proj_loss: -0.5641 (-0.5612) time: 0.3612 data: 0.0002
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.894 (6.900) Lt: 6.212 (6.196) Accm: 2.53 (2.48) Acct: 4.06 (3.99) proj_loss: -0.5664 (-0.5664) time: 0.3629 data: 0.0014
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:10:28 (0.377 s / it)
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.908 (6.898) Lt: 6.208 (6.207) Accm: 2.41 (2.47) Acct: 3.94 (3.88) proj_loss: -0.5697 (-0.5772) time: 0.3628 data: 0.0016
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.912 (6.912) Lt: 6.229 (6.229) Accm: 2.25 (2.33) Acct: 3.58 (3.71) proj_loss: -0.5667 (-0.5676) time: 0.3629 data: 0.0019
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 103/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.882 (6.900) Lt: 6.190 (6.212) Accm: 2.41 (2.41) Acct: 3.82 (3.83) proj_loss: -0.5682 (-0.5711) time: 0.3629 data: 0.0018
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:10:28 (0.377 s / it)
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:10:28 (0.377 s / it)
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 103/350] Total time: 0:10:28 (0.377 s / it)
[11-26 02:56:26] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.917 (6.920), Lt: 6.230 (6.236), Acc m&t: 2.39 3.76, Remain: 1 day, 17:35:01, Finish: 2024-11-27 04:31
[11-26 02:56:26] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.917 (6.920), Lt: 6.230 (6.236), Acc m&t: 2.39 3.76, Remain: 1 day, 17:33:46, Finish: 2024-11-27 04:30
[11-26 02:56:26] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.917 (6.920), Lt: 6.230 (6.236), Acc m&t: 2.39 3.76, Remain: 1 day, 17:35:21, Finish: 2024-11-27 04:31
[11-26 02:56:26] (/home/user/VAR/train.py , line 276)=> [ep103] (training ) Lm: 6.917 (6.920), Lt: 6.230 (6.236), Acc m&t: 2.39 3.76, Remain: 1 day, 17:35:31, Finish: 2024-11-27 04:31
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:10:02 tlr: 0.00018 tnm: 0.36 Lm: 6.921 (6.921) Lt: 6.193 (6.193) Accm: 2.28 (2.28) Acct: 3.63 (3.63) proj_loss: -0.5488 (-0.5488) time: 0.3610 data: 0.0004
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:10:02 tlr: 0.00018 tnm: 0.36 Lm: 6.764 (6.764) Lt: 6.095 (6.095) Accm: 2.70 (2.70) Acct: 4.20 (4.20) proj_loss: -0.5672 (-0.5672) time: 0.3610 data: 0.0003
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:10:04 tlr: 0.00018 tnm: 0.36 Lm: 7.006 (7.006) Lt: 6.366 (6.366) Accm: 2.02 (2.02) Acct: 3.13 (3.13) proj_loss: -0.5598 (-0.5598) time: 0.3619 data: 0.0004
[11-26 02:56:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 0/1669] eta: 0:10:03 tlr: 0.00018 tnm: 0.36 Lm: 6.750 (6.750) Lt: 6.076 (6.076) Accm: 2.69 (2.69) Acct: 4.08 (4.08) proj_loss: -0.5646 (-0.5646) time: 0.3617 data: 0.0004
[11-26 02:58:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.35 Lm: 6.761 (6.761) Lt: 6.075 (6.075) Accm: 2.76 (2.76) Acct: 4.15 (4.15) proj_loss: -0.5627 (-0.5627) time: 0.3619 data: 0.0003
[11-26 02:58:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.35 Lm: 6.973 (6.973) Lt: 6.335 (6.335) Accm: 2.18 (2.18) Acct: 3.38 (3.38) proj_loss: -0.5720 (-0.5720) time: 0.3619 data: 0.0003
[11-26 02:58:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.35 Lm: 6.916 (6.916) Lt: 6.204 (6.204) Accm: 2.37 (2.37) Acct: 3.73 (3.73) proj_loss: -0.5553 (-0.5553) time: 0.3619 data: 0.0002
[11-26 02:58:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.35 Lm: 6.882 (6.882) Lt: 6.229 (6.229) Accm: 2.42 (2.42) Acct: 3.80 (3.80) proj_loss: -0.5704 (-0.5704) time: 0.3619 data: 0.0003
[11-26 03:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:05:00 tlr: 0.00018 tnm: 0.35 Lm: 6.886 (6.883) Lt: 6.214 (6.224) Accm: 2.39 (2.41) Acct: 3.63 (3.74) proj_loss: -0.5737 (-0.5744) time: 0.3634 data: 0.0003
[11-26 03:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:05:00 tlr: 0.00018 tnm: 0.35 Lm: 6.921 (6.927) Lt: 6.216 (6.238) Accm: 2.28 (2.32) Acct: 3.63 (3.67) proj_loss: -0.5577 (-0.5561) time: 0.3634 data: 0.0002
[11-26 03:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:05:00 tlr: 0.00018 tnm: 0.35 Lm: 6.772 (6.818) Lt: 6.076 (6.133) Accm: 2.69 (2.72) Acct: 4.15 (4.15) proj_loss: -0.5646 (-0.5671) time: 0.3634 data: 0.0004
[11-26 03:01:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [ 834/1669] eta: 0:05:00 tlr: 0.00018 tnm: 0.35 Lm: 6.940 (6.909) Lt: 6.304 (6.261) Accm: 2.34 (2.35) Acct: 3.63 (3.67) proj_loss: -0.5824 (-0.5755) time: 0.3634 data: 0.0003
[11-26 03:03:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.33 Lm: 6.935 (6.914) Lt: 6.301 (6.271) Accm: 2.34 (2.35) Acct: 3.66 (3.67) proj_loss: -0.5833 (-0.5789) time: 0.3603 data: 0.0003
[11-26 03:03:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.33 Lm: 6.916 (6.914) Lt: 6.204 (6.219) Accm: 2.37 (2.40) Acct: 3.73 (3.85) proj_loss: -0.5598 (-0.5612) time: 0.3603 data: 0.0002
[11-26 03:03:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.33 Lm: 6.943 (6.931) Lt: 6.289 (6.259) Accm: 2.27 (2.29) Acct: 3.51 (3.53) proj_loss: -0.5704 (-0.5704) time: 0.3603 data: 0.0003
[11-26 03:03:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.33 Lm: 6.836 (6.839) Lt: 6.120 (6.141) Accm: 2.67 (2.65) Acct: 4.12 (4.09) proj_loss: -0.5627 (-0.5625) time: 0.3603 data: 0.0003
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.808 (6.833) Lt: 6.090 (6.131) Accm: 2.66 (2.65) Acct: 4.15 (4.12) proj_loss: -0.5646 (-0.5689) time: 0.3617 data: 0.0020
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:10:01 (0.360 s / it)
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.940 (6.922) Lt: 6.298 (6.271) Accm: 2.35 (2.35) Acct: 3.68 (3.72) proj_loss: -0.5824 (-0.5761) time: 0.3617 data: 0.0017
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.921 (6.941) Lt: 6.216 (6.258) Accm: 2.28 (2.31) Acct: 3.63 (3.67) proj_loss: -0.5619 (-0.5664) time: 0.3617 data: 0.0019
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 104/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 7.000 (6.958) Lt: 6.363 (6.293) Accm: 2.22 (2.28) Acct: 3.53 (3.53) proj_loss: -0.5703 (-0.5704) time: 0.3617 data: 0.0016
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:10:01 (0.360 s / it)
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:10:01 (0.360 s / it)
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 104/350] Total time: 0:10:01 (0.360 s / it)
[11-26 03:06:28] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.917 (6.919), Lt: 6.230 (6.235), Acc m&t: 2.39 3.76, Remain: 1 day, 17:15:38, Finish: 2024-11-27 04:22
[11-26 03:06:28] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.917 (6.919), Lt: 6.230 (6.235), Acc m&t: 2.39 3.76, Remain: 1 day, 17:15:34, Finish: 2024-11-27 04:22
[11-26 03:06:28] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.917 (6.919), Lt: 6.230 (6.235), Acc m&t: 2.39 3.76, Remain: 1 day, 17:15:45, Finish: 2024-11-27 04:22
[11-26 03:06:28] (/home/user/VAR/train.py , line 276)=> [ep104] (training ) Lm: 6.917 (6.919), Lt: 6.230 (6.235), Acc m&t: 2.39 3.76, Remain: 1 day, 17:16:22, Finish: 2024-11-27 04:22
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:09:57 tlr: 0.00018 tnm: 0.35 Lm: 6.914 (6.914) Lt: 6.249 (6.249) Accm: 2.41 (2.41) Acct: 3.84 (3.84) proj_loss: -0.5677 (-0.5677) time: 0.3578 data: 0.0003
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:09:38 tlr: 0.00018 tnm: 0.35 Lm: 6.869 (6.869) Lt: 6.173 (6.173) Accm: 2.45 (2.45) Acct: 4.01 (4.01) proj_loss: -0.5552 (-0.5552) time: 0.3469 data: 0.0003
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:09:39 tlr: 0.00018 tnm: 0.35 Lm: 6.885 (6.885) Lt: 6.204 (6.204) Accm: 2.49 (2.49) Acct: 3.89 (3.89) proj_loss: -0.5796 (-0.5796) time: 0.3471 data: 0.0003
[11-26 03:06:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 0/1669] eta: 0:09:41 tlr: 0.00018 tnm: 0.35 Lm: 6.944 (6.944) Lt: 6.289 (6.289) Accm: 2.24 (2.24) Acct: 3.55 (3.55) proj_loss: -0.5537 (-0.5537) time: 0.3485 data: 0.0004
[11-26 03:08:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.959 (6.959) Lt: 6.253 (6.253) Accm: 2.19 (2.19) Acct: 3.64 (3.64) proj_loss: -0.5602 (-0.5602) time: 0.3598 data: 0.0003
[11-26 03:08:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.988 (6.988) Lt: 6.320 (6.320) Accm: 2.24 (2.24) Acct: 3.48 (3.48) proj_loss: -0.5676 (-0.5676) time: 0.3598 data: 0.0002
[11-26 03:08:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.828 (6.828) Lt: 6.154 (6.154) Accm: 2.56 (2.56) Acct: 4.05 (4.05) proj_loss: -0.5726 (-0.5726) time: 0.3598 data: 0.0002
[11-26 03:08:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.833 (6.833) Lt: 6.123 (6.123) Accm: 2.58 (2.58) Acct: 4.11 (4.11) proj_loss: -0.5576 (-0.5576) time: 0.3598 data: 0.0002
[11-26 03:11:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.35 Lm: 6.869 (6.867) Lt: 6.173 (6.174) Accm: 2.45 (2.53) Acct: 4.01 (4.04) proj_loss: -0.5600 (-0.5638) time: 0.3603 data: 0.0003
[11-26 03:11:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.35 Lm: 6.940 (6.972) Lt: 6.215 (6.285) Accm: 2.43 (2.31) Acct: 3.89 (3.68) proj_loss: -0.5591 (-0.5647) time: 0.3603 data: 0.0002
[11-26 03:11:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.35 Lm: 6.864 (6.840) Lt: 6.171 (6.160) Accm: 2.53 (2.55) Acct: 3.87 (3.99) proj_loss: -0.5677 (-0.5693) time: 0.3603 data: 0.0002
[11-26 03:11:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.35 Lm: 6.944 (6.915) Lt: 6.218 (6.198) Accm: 2.24 (2.30) Acct: 3.74 (3.78) proj_loss: -0.5667 (-0.5693) time: 0.3603 data: 0.0003
[11-26 03:13:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.39 Lm: 6.959 (6.950) Lt: 6.253 (6.246) Accm: 2.25 (2.29) Acct: 3.70 (3.75) proj_loss: -0.5602 (-0.5652) time: 0.3585 data: 0.0003
[11-26 03:13:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.39 Lm: 6.851 (6.840) Lt: 6.166 (6.160) Accm: 2.62 (2.65) Acct: 4.07 (4.17) proj_loss: -0.5674 (-0.5688) time: 0.3585 data: 0.0002
[11-26 03:13:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.39 Lm: 6.895 (6.881) Lt: 6.198 (6.186) Accm: 2.45 (2.51) Acct: 3.96 (3.99) proj_loss: -0.5681 (-0.5700) time: 0.3585 data: 0.0003
[11-26 03:13:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.39 Lm: 6.912 (6.946) Lt: 6.210 (6.265) Accm: 2.46 (2.40) Acct: 3.87 (3.72) proj_loss: -0.5575 (-0.5626) time: 0.3585 data: 0.0003
[11-26 03:16:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.930 (6.943) Lt: 6.215 (6.263) Accm: 2.43 (2.37) Acct: 3.86 (3.66) proj_loss: -0.5591 (-0.5635) time: 0.3606 data: 0.0016
[11-26 03:16:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:10:01 (0.361 s / it)
[11-26 03:16:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.950 (6.950) Lt: 6.240 (6.245) Accm: 2.27 (2.31) Acct: 3.74 (3.79) proj_loss: -0.5615 (-0.5644) time: 0.3606 data: 0.0018
[11-26 03:16:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.864 (6.849) Lt: 6.171 (6.164) Accm: 2.53 (2.61) Acct: 3.87 (4.10) proj_loss: -0.5677 (-0.5730) time: 0.3606 data: 0.0017
[11-26 03:16:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 105/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.869 (6.871) Lt: 6.173 (6.174) Accm: 2.45 (2.54) Acct: 4.01 (4.05) proj_loss: -0.5763 (-0.5728) time: 0.3606 data: 0.0020
[11-26 03:16:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:10:01 (0.361 s / it)
[11-26 03:16:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:10:01 (0.361 s / it)
[11-26 03:16:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 105/350] Total time: 0:10:01 (0.361 s / it)
[11-26 03:16:29] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.917 (6.921), Lt: 6.230 (6.237), Acc m&t: 2.39 3.77, Remain: 1 day, 17:02:25, Finish: 2024-11-27 04:18
[11-26 03:16:29] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.917 (6.921), Lt: 6.230 (6.237), Acc m&t: 2.39 3.77, Remain: 1 day, 17:03:15, Finish: 2024-11-27 04:19
[11-26 03:16:29] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.917 (6.921), Lt: 6.230 (6.237), Acc m&t: 2.39 3.77, Remain: 1 day, 17:02:19, Finish: 2024-11-27 04:18
[11-26 03:16:29] (/home/user/VAR/train.py , line 276)=> [ep105] (training ) Lm: 6.917 (6.921), Lt: 6.230 (6.237), Acc m&t: 2.39 3.77, Remain: 1 day, 17:02:11, Finish: 2024-11-27 04:18
[11-26 03:16:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:10:05 tlr: 0.00018 tnm: 0.32 Lm: 6.955 (6.955) Lt: 6.262 (6.262) Accm: 2.35 (2.35) Acct: 3.74 (3.74) proj_loss: -0.5584 (-0.5584) time: 0.3630 data: 0.0004
[11-26 03:16:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:10:06 tlr: 0.00018 tnm: 0.32 Lm: 7.020 (7.020) Lt: 6.332 (6.332) Accm: 1.97 (1.97) Acct: 3.15 (3.15) proj_loss: -0.5715 (-0.5715) time: 0.3637 data: 0.0004
[11-26 03:16:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:10:02 tlr: 0.00018 tnm: 0.32 Lm: 6.951 (6.951) Lt: 6.255 (6.255) Accm: 2.27 (2.27) Acct: 3.63 (3.63) proj_loss: -0.5761 (-0.5761) time: 0.3613 data: 0.0004
[11-26 03:16:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 0/1669] eta: 0:10:07 tlr: 0.00018 tnm: 0.32 Lm: 6.862 (6.862) Lt: 6.184 (6.184) Accm: 2.61 (2.61) Acct: 4.10 (4.10) proj_loss: -0.5840 (-0.5840) time: 0.3642 data: 0.0004
[11-26 03:19:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:07:39 tlr: 0.00018 tnm: 0.36 Lm: 6.847 (6.847) Lt: 6.154 (6.154) Accm: 2.58 (2.58) Acct: 4.05 (4.05) proj_loss: -0.5779 (-0.5779) time: 0.4069 data: 0.0002
[11-26 03:19:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:07:39 tlr: 0.00018 tnm: 0.36 Lm: 6.952 (6.952) Lt: 6.256 (6.256) Accm: 2.22 (2.22) Acct: 3.48 (3.48) proj_loss: -0.5618 (-0.5618) time: 0.4069 data: 0.0003
[11-26 03:19:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:07:39 tlr: 0.00018 tnm: 0.36 Lm: 6.995 (6.995) Lt: 6.328 (6.328) Accm: 2.19 (2.19) Acct: 3.51 (3.51) proj_loss: -0.5787 (-0.5787) time: 0.4069 data: 0.0002
[11-26 03:19:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 417/1669] eta: 0:07:39 tlr: 0.00018 tnm: 0.36 Lm: 6.887 (6.887) Lt: 6.177 (6.177) Accm: 2.43 (2.43) Acct: 3.84 (3.84) proj_loss: -0.5686 (-0.5686) time: 0.4069 data: 0.0002
[11-26 03:21:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:05:16 tlr: 0.00018 tnm: 0.33 Lm: 6.955 (6.923) Lt: 6.262 (6.218) Accm: 2.35 (2.39) Acct: 3.74 (3.79) proj_loss: -0.5716 (-0.5696) time: 0.3593 data: 0.0002
[11-26 03:21:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:05:16 tlr: 0.00018 tnm: 0.33 Lm: 6.909 (6.937) Lt: 6.255 (6.256) Accm: 2.19 (2.21) Acct: 3.55 (3.50) proj_loss: -0.5704 (-0.5647) time: 0.3593 data: 0.0002
[11-26 03:21:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:05:16 tlr: 0.00018 tnm: 0.33 Lm: 6.991 (6.994) Lt: 6.280 (6.312) Accm: 2.24 (2.21) Acct: 3.63 (3.60) proj_loss: -0.5761 (-0.5698) time: 0.3593 data: 0.0002
[11-26 03:21:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [ 834/1669] eta: 0:05:16 tlr: 0.00018 tnm: 0.33 Lm: 6.832 (6.837) Lt: 6.125 (6.113) Accm: 2.58 (2.58) Acct: 4.10 (4.17) proj_loss: -0.5780 (-0.5779) time: 0.3593 data: 0.0003
[11-26 03:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:02:40 tlr: 0.00018 tnm: 0.34 Lm: 6.847 (6.860) Lt: 6.154 (6.138) Accm: 2.56 (2.51) Acct: 4.05 (4.02) proj_loss: -0.5749 (-0.5753) time: 0.3588 data: 0.0003
[11-26 03:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:02:40 tlr: 0.00018 tnm: 0.34 Lm: 6.914 (6.933) Lt: 6.237 (6.247) Accm: 2.33 (2.30) Acct: 3.64 (3.56) proj_loss: -0.5651 (-0.5635) time: 0.3588 data: 0.0003
[11-26 03:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:02:40 tlr: 0.00018 tnm: 0.34 Lm: 6.966 (6.936) Lt: 6.276 (6.236) Accm: 2.33 (2.37) Acct: 3.74 (3.78) proj_loss: -0.5677 (-0.5681) time: 0.3588 data: 0.0002
[11-26 03:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1251/1669] eta: 0:02:40 tlr: 0.00018 tnm: 0.34 Lm: 6.971 (6.939) Lt: 6.267 (6.250) Accm: 2.25 (2.35) Acct: 3.70 (3.85) proj_loss: -0.5716 (-0.5691) time: 0.3588 data: 0.0003
[11-26 03:26:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.951 (6.922) Lt: 6.255 (6.236) Accm: 2.27 (2.40) Acct: 3.77 (3.91) proj_loss: -0.5671 (-0.5625) time: 0.3629 data: 0.0016
[11-26 03:26:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:10:29 (0.377 s / it)
[11-26 03:26:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.919 (6.953) Lt: 6.255 (6.263) Accm: 2.21 (2.29) Acct: 3.60 (3.57) proj_loss: -0.5604 (-0.5628) time: 0.3629 data: 0.0020
[11-26 03:26:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.955 (6.926) Lt: 6.262 (6.235) Accm: 2.35 (2.43) Acct: 3.75 (3.87) proj_loss: -0.5716 (-0.5749) time: 0.3629 data: 0.0014
[11-26 03:26:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 106/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.862 (6.895) Lt: 6.184 (6.182) Accm: 2.55 (2.42) Acct: 4.01 (3.82) proj_loss: -0.5754 (-0.5753) time: 0.3629 data: 0.0019
[11-26 03:26:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:10:29 (0.377 s / it)
[11-26 03:26:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:10:29 (0.377 s / it)
[11-26 03:26:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 106/350] Total time: 0:10:29 (0.377 s / it)
[11-26 03:26:59] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.917 (6.922), Lt: 6.230 (6.233), Acc m&t: 2.39 3.77, Remain: 1 day, 17:12:34, Finish: 2024-11-27 04:39
[11-26 03:26:59] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.917 (6.922), Lt: 6.230 (6.233), Acc m&t: 2.39 3.77, Remain: 1 day, 17:11:53, Finish: 2024-11-27 04:38
[11-26 03:26:59] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.917 (6.922), Lt: 6.230 (6.233), Acc m&t: 2.39 3.77, Remain: 1 day, 17:14:59, Finish: 2024-11-27 04:41
[11-26 03:26:59] (/home/user/VAR/train.py , line 276)=> [ep106] (training ) Lm: 6.917 (6.922), Lt: 6.230 (6.233), Acc m&t: 2.39 3.77, Remain: 1 day, 17:14:34, Finish: 2024-11-27 04:41
[11-26 03:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:09:50 tlr: 0.00018 tnm: 0.37 Lm: 6.767 (6.767) Lt: 6.068 (6.068) Accm: 2.67 (2.67) Acct: 4.10 (4.10) proj_loss: -0.5633 (-0.5633) time: 0.3540 data: 0.0003
[11-26 03:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:09:51 tlr: 0.00018 tnm: 0.37 Lm: 6.922 (6.922) Lt: 6.308 (6.308) Accm: 2.34 (2.34) Acct: 3.70 (3.70) proj_loss: -0.5797 (-0.5797) time: 0.3547 data: 0.0003
[11-26 03:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:09:51 tlr: 0.00018 tnm: 0.37 Lm: 6.905 (6.905) Lt: 6.225 (6.225) Accm: 2.40 (2.40) Acct: 3.70 (3.70) proj_loss: -0.5794 (-0.5794) time: 0.3547 data: 0.0004
[11-26 03:27:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 0/1669] eta: 0:09:51 tlr: 0.00018 tnm: 0.37 Lm: 6.991 (6.991) Lt: 6.350 (6.350) Accm: 2.37 (2.37) Acct: 3.89 (3.89) proj_loss: -0.5722 (-0.5722) time: 0.3547 data: 0.0004
[11-26 03:29:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.35 Lm: 6.932 (6.932) Lt: 6.272 (6.272) Accm: 2.47 (2.47) Acct: 3.94 (3.94) proj_loss: -0.5768 (-0.5768) time: 0.3613 data: 0.0003
[11-26 03:29:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.35 Lm: 6.898 (6.898) Lt: 6.223 (6.223) Accm: 2.35 (2.35) Acct: 3.68 (3.68) proj_loss: -0.5670 (-0.5670) time: 0.3613 data: 0.0003
[11-26 03:29:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.35 Lm: 6.837 (6.837) Lt: 6.143 (6.143) Accm: 2.44 (2.44) Acct: 3.81 (3.81) proj_loss: -0.5709 (-0.5709) time: 0.3613 data: 0.0002
[11-26 03:29:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.35 Lm: 6.911 (6.911) Lt: 6.224 (6.224) Accm: 2.40 (2.40) Acct: 3.66 (3.66) proj_loss: -0.5790 (-0.5790) time: 0.3613 data: 0.0003
[11-26 03:32:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.34 Lm: 6.905 (6.858) Lt: 6.224 (6.167) Accm: 2.40 (2.39) Acct: 3.67 (3.66) proj_loss: -0.5794 (-0.5814) time: 0.3608 data: 0.0003
[11-26 03:32:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.34 Lm: 6.922 (6.937) Lt: 6.308 (6.268) Accm: 2.34 (2.24) Acct: 3.65 (3.52) proj_loss: -0.5797 (-0.5729) time: 0.3608 data: 0.0007
[11-26 03:32:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.34 Lm: 6.991 (6.963) Lt: 6.337 (6.294) Accm: 2.37 (2.32) Acct: 3.89 (3.70) proj_loss: -0.5814 (-0.5788) time: 0.3608 data: 0.0003
[11-26 03:32:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.34 Lm: 6.907 (6.863) Lt: 6.217 (6.179) Accm: 2.22 (2.37) Acct: 3.53 (3.67) proj_loss: -0.5785 (-0.5756) time: 0.3608 data: 0.0002
[11-26 03:34:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.37 Lm: 6.911 (6.892) Lt: 6.234 (6.204) Accm: 2.28 (2.36) Acct: 3.58 (3.66) proj_loss: -0.5709 (-0.5718) time: 0.3620 data: 0.0002
[11-26 03:34:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.37 Lm: 6.947 (6.946) Lt: 6.298 (6.273) Accm: 2.30 (2.25) Acct: 3.58 (3.52) proj_loss: -0.5706 (-0.5701) time: 0.3620 data: 0.0003
[11-26 03:34:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.37 Lm: 7.008 (6.991) Lt: 6.344 (6.321) Accm: 2.20 (2.23) Acct: 3.56 (3.55) proj_loss: -0.5768 (-0.5751) time: 0.3620 data: 0.0003
[11-26 03:34:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.37 Lm: 6.899 (6.866) Lt: 6.211 (6.175) Accm: 2.40 (2.40) Acct: 3.68 (3.70) proj_loss: -0.5828 (-0.5854) time: 0.3620 data: 0.0003
[11-26 03:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.905 (6.895) Lt: 6.224 (6.202) Accm: 2.40 (2.38) Acct: 3.67 (3.69) proj_loss: -0.5794 (-0.5835) time: 0.3608 data: 0.0016
[11-26 03:37:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:10:01 (0.361 s / it)
[11-26 03:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.922 (6.898) Lt: 6.288 (6.216) Accm: 2.34 (2.35) Acct: 3.65 (3.68) proj_loss: -0.5615 (-0.5677) time: 0.3608 data: 0.0016
[11-26 03:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.991 (6.986) Lt: 6.337 (6.308) Accm: 2.04 (2.19) Acct: 3.22 (3.48) proj_loss: -0.5806 (-0.5762) time: 0.3608 data: 0.0019
[11-26 03:37:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 107/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.33 Lm: 6.915 (6.914) Lt: 6.236 (6.211) Accm: 2.23 (2.34) Acct: 3.53 (3.62) proj_loss: -0.5648 (-0.5704) time: 0.3608 data: 0.0012
[11-26 03:37:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:10:01 (0.361 s / it)
[11-26 03:37:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:10:01 (0.361 s / it)
[11-26 03:37:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 107/350] Total time: 0:10:01 (0.361 s / it)
[11-26 03:37:01] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.917 (6.920), Lt: 6.230 (6.230), Acc m&t: 2.39 3.77, Remain: 1 day, 16:35:07, Finish: 2024-11-27 04:12
[11-26 03:37:01] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.917 (6.920), Lt: 6.230 (6.230), Acc m&t: 2.39 3.77, Remain: 1 day, 16:34:53, Finish: 2024-11-27 04:11
[11-26 03:37:01] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.917 (6.920), Lt: 6.230 (6.230), Acc m&t: 2.39 3.77, Remain: 1 day, 16:35:37, Finish: 2024-11-27 04:12
[11-26 03:37:01] (/home/user/VAR/train.py , line 276)=> [ep107] (training ) Lm: 6.917 (6.920), Lt: 6.230 (6.230), Acc m&t: 2.39 3.77, Remain: 1 day, 16:36:43, Finish: 2024-11-27 04:13
[11-26 03:37:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:10:09 tlr: 0.00018 tnm: 0.36 Lm: 6.930 (6.930) Lt: 6.249 (6.249) Accm: 2.50 (2.50) Acct: 3.75 (3.75) proj_loss: -0.5647 (-0.5647) time: 0.3649 data: 0.0004
[11-26 03:37:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:10:09 tlr: 0.00018 tnm: 0.36 Lm: 6.967 (6.967) Lt: 6.280 (6.280) Accm: 1.91 (1.91) Acct: 2.91 (2.91) proj_loss: -0.5668 (-0.5668) time: 0.3650 data: 0.0003
[11-26 03:37:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:10:52 tlr: 0.00018 tnm: 0.36 Lm: 6.968 (6.968) Lt: 6.234 (6.234) Accm: 2.27 (2.27) Acct: 3.67 (3.67) proj_loss: -0.5575 (-0.5575) time: 0.3907 data: 0.0003
[11-26 03:37:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 0/1669] eta: 0:10:08 tlr: 0.00018 tnm: 0.36 Lm: 6.842 (6.842) Lt: 6.101 (6.101) Accm: 2.56 (2.56) Acct: 4.06 (4.06) proj_loss: -0.5665 (-0.5665) time: 0.3645 data: 0.0004
[11-26 03:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.34 Lm: 6.872 (6.872) Lt: 6.162 (6.162) Accm: 2.46 (2.46) Acct: 3.85 (3.85) proj_loss: -0.5641 (-0.5641) time: 0.3594 data: 0.0003
[11-26 03:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.34 Lm: 6.954 (6.954) Lt: 6.290 (6.290) Accm: 2.28 (2.28) Acct: 3.43 (3.43) proj_loss: -0.5754 (-0.5754) time: 0.3594 data: 0.0003
[11-26 03:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.34 Lm: 6.896 (6.896) Lt: 6.177 (6.177) Accm: 2.47 (2.47) Acct: 3.91 (3.91) proj_loss: -0.5580 (-0.5580) time: 0.3594 data: 0.0002
[11-26 03:39:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.34 Lm: 6.955 (6.955) Lt: 6.272 (6.272) Accm: 2.12 (2.12) Acct: 3.32 (3.32) proj_loss: -0.5706 (-0.5706) time: 0.3594 data: 0.0003
[11-26 03:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.34 Lm: 6.967 (6.978) Lt: 6.280 (6.301) Accm: 2.32 (2.19) Acct: 3.74 (3.51) proj_loss: -0.5688 (-0.5700) time: 0.3592 data: 0.0003
[11-26 03:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.34 Lm: 6.930 (6.934) Lt: 6.249 (6.263) Accm: 2.50 (2.36) Acct: 3.75 (3.61) proj_loss: -0.5647 (-0.5714) time: 0.3592 data: 0.0003
[11-26 03:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.34 Lm: 6.901 (6.940) Lt: 6.223 (6.238) Accm: 2.35 (2.28) Acct: 3.63 (3.62) proj_loss: -0.5618 (-0.5627) time: 0.3592 data: 0.0003
[11-26 03:42:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.34 Lm: 6.910 (6.900) Lt: 6.208 (6.187) Accm: 2.35 (2.43) Acct: 3.67 (3.76) proj_loss: -0.5575 (-0.5554) time: 0.3592 data: 0.0002
[11-26 03:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.34 Lm: 6.900 (6.898) Lt: 6.177 (6.177) Accm: 2.40 (2.43) Acct: 3.67 (3.74) proj_loss: -0.5580 (-0.5639) time: 0.3605 data: 0.0002
[11-26 03:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.34 Lm: 6.912 (6.918) Lt: 6.238 (6.255) Accm: 2.50 (2.46) Acct: 3.86 (3.73) proj_loss: -0.5754 (-0.5795) time: 0.3605 data: 0.0004
[11-26 03:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.34 Lm: 6.958 (6.970) Lt: 6.297 (6.304) Accm: 2.24 (2.18) Acct: 3.55 (3.47) proj_loss: -0.5716 (-0.5727) time: 0.3605 data: 0.0002
[11-26 03:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.34 Lm: 6.968 (6.964) Lt: 6.262 (6.254) Accm: 2.27 (2.25) Acct: 3.66 (3.64) proj_loss: -0.5641 (-0.5657) time: 0.3605 data: 0.0003
[11-26 03:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.969 (6.965) Lt: 6.302 (6.270) Accm: 2.19 (2.23) Acct: 3.63 (3.55) proj_loss: -0.5665 (-0.5701) time: 0.3623 data: 0.0017
[11-26 03:47:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:10:03 (0.361 s / it)
[11-26 03:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.930 (6.922) Lt: 6.243 (6.252) Accm: 2.51 (2.47) Acct: 3.87 (3.76) proj_loss: -0.5647 (-0.5760) time: 0.3623 data: 0.0016
[11-26 03:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.910 (6.910) Lt: 6.208 (6.206) Accm: 2.35 (2.40) Acct: 3.67 (3.69) proj_loss: -0.5585 (-0.5662) time: 0.3623 data: 0.0017
[11-26 03:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 108/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.35 Lm: 6.949 (6.944) Lt: 6.280 (6.279) Accm: 2.32 (2.24) Acct: 3.74 (3.55) proj_loss: -0.5743 (-0.5772) time: 0.3624 data: 0.0017
[11-26 03:47:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:10:03 (0.361 s / it)
[11-26 03:47:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:10:03 (0.361 s / it)
[11-26 03:47:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 108/350] Total time: 0:10:03 (0.361 s / it)
[11-26 03:47:04] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.917 (6.917), Lt: 6.230 (6.231), Acc m&t: 2.39 3.77, Remain: 1 day, 16:36:26, Finish: 2024-11-27 04:23
[11-26 03:47:04] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.917 (6.917), Lt: 6.230 (6.231), Acc m&t: 2.39 3.77, Remain: 1 day, 16:35:20, Finish: 2024-11-27 04:22
[11-26 03:47:04] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.917 (6.917), Lt: 6.230 (6.231), Acc m&t: 2.39 3.77, Remain: 1 day, 16:34:53, Finish: 2024-11-27 04:21
[11-26 03:47:04] (/home/user/VAR/train.py , line 276)=> [ep108] (training ) Lm: 6.917 (6.917), Lt: 6.230 (6.231), Acc m&t: 2.39 3.77, Remain: 1 day, 16:35:41, Finish: 2024-11-27 04:22
[11-26 03:47:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:09:37 tlr: 0.00018 tnm: 0.37 Lm: 6.841 (6.841) Lt: 6.188 (6.188) Accm: 2.51 (2.51) Acct: 3.86 (3.86) proj_loss: -0.5764 (-0.5764) time: 0.3462 data: 0.0003
[11-26 03:47:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:09:38 tlr: 0.00018 tnm: 0.37 Lm: 6.998 (6.998) Lt: 6.303 (6.303) Accm: 2.30 (2.30) Acct: 3.77 (3.77) proj_loss: -0.5585 (-0.5585) time: 0.3467 data: 0.0003
[11-26 03:47:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:10:01 tlr: 0.00018 tnm: 0.37 Lm: 7.061 (7.061) Lt: 6.355 (6.355) Accm: 2.16 (2.16) Acct: 3.46 (3.46) proj_loss: -0.5558 (-0.5558) time: 0.3601 data: 0.0004
[11-26 03:47:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 0/1669] eta: 0:09:38 tlr: 0.00018 tnm: 0.37 Lm: 6.888 (6.888) Lt: 6.224 (6.224) Accm: 2.53 (2.53) Acct: 3.82 (3.82) proj_loss: -0.5560 (-0.5560) time: 0.3466 data: 0.0004
[11-26 03:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:08:01 tlr: 0.00018 tnm: 0.35 Lm: 6.843 (6.843) Lt: 6.162 (6.162) Accm: 2.45 (2.45) Acct: 3.85 (3.85) proj_loss: -0.5703 (-0.5703) time: 0.4350 data: 0.0002
[11-26 03:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:08:01 tlr: 0.00018 tnm: 0.35 Lm: 6.945 (6.945) Lt: 6.253 (6.253) Accm: 2.40 (2.40) Acct: 3.91 (3.91) proj_loss: -0.5755 (-0.5755) time: 0.4350 data: 0.0002
[11-26 03:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:08:01 tlr: 0.00018 tnm: 0.35 Lm: 6.988 (6.988) Lt: 6.276 (6.276) Accm: 2.23 (2.23) Acct: 3.61 (3.61) proj_loss: -0.5492 (-0.5492) time: 0.4350 data: 0.0003
[11-26 03:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 417/1669] eta: 0:08:01 tlr: 0.00018 tnm: 0.35 Lm: 6.854 (6.854) Lt: 6.171 (6.171) Accm: 2.61 (2.61) Acct: 4.12 (4.12) proj_loss: -0.5686 (-0.5686) time: 0.4351 data: 0.0003
[11-26 03:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.35 Lm: 6.888 (6.868) Lt: 6.136 (6.159) Accm: 2.53 (2.54) Acct: 4.13 (4.13) proj_loss: -0.5560 (-0.5619) time: 0.3963 data: 0.0004
[11-26 03:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.35 Lm: 6.844 (6.855) Lt: 6.152 (6.159) Accm: 2.43 (2.44) Acct: 3.86 (3.90) proj_loss: -0.5643 (-0.5676) time: 0.3963 data: 0.0002
[11-26 03:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.35 Lm: 6.891 (6.922) Lt: 6.205 (6.237) Accm: 2.50 (2.44) Acct: 3.99 (3.94) proj_loss: -0.5773 (-0.5761) time: 0.3963 data: 0.0003
[11-26 03:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.35 Lm: 6.916 (6.929) Lt: 6.197 (6.212) Accm: 2.29 (2.35) Acct: 3.75 (3.80) proj_loss: -0.5558 (-0.5633) time: 0.3963 data: 0.0003
[11-26 03:55:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:02:40 tlr: 0.00018 tnm: 0.35 Lm: 6.938 (6.937) Lt: 6.224 (6.221) Accm: 2.43 (2.40) Acct: 3.93 (3.88) proj_loss: -0.5591 (-0.5631) time: 0.3610 data: 0.0003
[11-26 03:55:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:02:40 tlr: 0.00018 tnm: 0.35 Lm: 6.920 (6.929) Lt: 6.246 (6.250) Accm: 2.43 (2.42) Acct: 3.88 (3.86) proj_loss: -0.5762 (-0.5758) time: 0.3611 data: 0.0002
[11-26 03:55:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:02:40 tlr: 0.00018 tnm: 0.35 Lm: 6.843 (6.826) Lt: 6.144 (6.123) Accm: 2.47 (2.54) Acct: 3.93 (4.02) proj_loss: -0.5691 (-0.5692) time: 0.3611 data: 0.0002
[11-26 03:55:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1251/1669] eta: 0:02:40 tlr: 0.00018 tnm: 0.35 Lm: 6.887 (6.873) Lt: 6.160 (6.165) Accm: 2.47 (2.49) Acct: 3.98 (4.03) proj_loss: -0.5659 (-0.5654) time: 0.3611 data: 0.0003
[11-26 03:57:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.886 (6.870) Lt: 6.165 (6.165) Accm: 2.53 (2.51) Acct: 3.93 (4.01) proj_loss: -0.5653 (-0.5653) time: 0.3617 data: 0.0016
[11-26 03:57:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:10:29 (0.377 s / it)
[11-26 03:57:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.891 (6.919) Lt: 6.205 (6.236) Accm: 2.50 (2.47) Acct: 3.99 (3.96) proj_loss: -0.5773 (-0.5777) time: 0.3617 data: 0.0015
[11-26 03:57:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.916 (6.915) Lt: 6.197 (6.207) Accm: 2.56 (2.48) Acct: 4.12 (3.94) proj_loss: -0.5625 (-0.5663) time: 0.3617 data: 0.0016
[11-26 03:57:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 109/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.37 Lm: 6.844 (6.835) Lt: 6.135 (6.124) Accm: 2.51 (2.55) Acct: 3.99 (4.05) proj_loss: -0.5681 (-0.5690) time: 0.3617 data: 0.0019
[11-26 03:57:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:10:29 (0.377 s / it)
[11-26 03:57:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:10:29 (0.377 s / it)
[11-26 03:57:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 109/350] Total time: 0:10:29 (0.377 s / it)
[11-26 03:59:48] (home/user/VAR/trainer.py, line 114)=> FID: 5.49147257542927
[11-26 03:59:48] (/home/user/VAR/train.py , line 259)=> [*] [ep109] (val 50000) Lm: 6.9169, Lt: 6.2320, Acc m&t: 2.39 3.77, Val cost: 133.72s
[11-26 03:59:48] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 04:00:02] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.917 (6.917), Lt: 6.230 (6.232), Acc m&t: 2.39 3.77, Remain: 1 day, 16:24:03, Finish: 2024-11-27 04:21
[11-26 04:00:02] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.917 (6.917), Lt: 6.230 (6.232), Acc m&t: 2.39 3.77, Remain: 1 day, 16:25:15, Finish: 2024-11-27 04:22
[11-26 04:00:02] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.917 (6.917), Lt: 6.230 (6.232), Acc m&t: 2.39 3.77, Remain: 1 day, 16:25:19, Finish: 2024-11-27 04:22
[11-26 04:00:02] (/home/user/VAR/train.py , line 276)=> [ep109] (training ) Lm: 6.917 (6.917), Lt: 6.230 (6.232), Acc m&t: 2.39 3.77, Remain: 1 day, 16:23:33, Finish: 2024-11-27 04:21
[11-26 04:00:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:10:07 tlr: 0.00018 tnm: 0.36 Lm: 7.013 (7.013) Lt: 6.339 (6.339) Accm: 2.27 (2.27) Acct: 3.74 (3.74) proj_loss: -0.5655 (-0.5655) time: 0.3642 data: 0.0004
[11-26 04:00:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:10:09 tlr: 0.00018 tnm: 0.36 Lm: 6.880 (6.880) Lt: 6.233 (6.233) Accm: 2.25 (2.25) Acct: 3.24 (3.24) proj_loss: -0.5760 (-0.5760) time: 0.3649 data: 0.0004
[11-26 04:00:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:10:06 tlr: 0.00018 tnm: 0.36 Lm: 6.838 (6.838) Lt: 6.163 (6.163) Accm: 2.52 (2.52) Acct: 3.93 (3.93) proj_loss: -0.5697 (-0.5697) time: 0.3634 data: 0.0004
[11-26 04:00:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 0/1669] eta: 0:10:07 tlr: 0.00018 tnm: 0.36 Lm: 6.940 (6.940) Lt: 6.236 (6.236) Accm: 2.30 (2.30) Acct: 3.68 (3.68) proj_loss: -0.5668 (-0.5668) time: 0.3641 data: 0.0004
[11-26 04:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.35 Lm: 6.942 (6.942) Lt: 6.239 (6.239) Accm: 2.28 (2.28) Acct: 3.68 (3.68) proj_loss: -0.5511 (-0.5511) time: 0.3632 data: 0.0003
[11-26 04:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.35 Lm: 6.922 (6.922) Lt: 6.237 (6.237) Accm: 2.27 (2.27) Acct: 3.62 (3.62) proj_loss: -0.5719 (-0.5719) time: 0.3632 data: 0.0003
[11-26 04:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.35 Lm: 7.059 (7.059) Lt: 6.373 (6.373) Accm: 2.04 (2.04) Acct: 3.45 (3.45) proj_loss: -0.5703 (-0.5703) time: 0.3632 data: 0.0003
[11-26 04:02:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 417/1669] eta: 0:07:32 tlr: 0.00018 tnm: 0.35 Lm: 6.909 (6.909) Lt: 6.254 (6.254) Accm: 2.40 (2.40) Acct: 3.56 (3.56) proj_loss: -0.5750 (-0.5750) time: 0.3632 data: 0.0002
[11-26 04:05:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.36 Lm: 6.880 (6.888) Lt: 6.233 (6.213) Accm: 2.51 (2.44) Acct: 3.87 (3.72) proj_loss: -0.5741 (-0.5720) time: 0.3604 data: 0.0002
[11-26 04:05:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.36 Lm: 6.838 (6.882) Lt: 6.163 (6.199) Accm: 2.52 (2.45) Acct: 3.93 (3.85) proj_loss: -0.5697 (-0.5692) time: 0.3604 data: 0.0002
[11-26 04:05:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.36 Lm: 7.013 (7.033) Lt: 6.339 (6.339) Accm: 2.16 (2.08) Acct: 3.31 (3.40) proj_loss: -0.5655 (-0.5682) time: 0.3604 data: 0.0003
[11-26 04:05:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [ 834/1669] eta: 0:05:01 tlr: 0.00018 tnm: 0.36 Lm: 6.945 (6.960) Lt: 6.243 (6.271) Accm: 2.26 (2.26) Acct: 3.67 (3.59) proj_loss: -0.5668 (-0.5596) time: 0.3604 data: 0.0003
[11-26 04:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.37 Lm: 6.962 (6.965) Lt: 6.277 (6.281) Accm: 2.24 (2.23) Acct: 3.54 (3.53) proj_loss: -0.5712 (-0.5636) time: 0.3564 data: 0.0003
[11-26 04:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.37 Lm: 6.904 (6.897) Lt: 6.247 (6.225) Accm: 2.39 (2.39) Acct: 3.84 (3.74) proj_loss: -0.5700 (-0.5684) time: 0.3564 data: 0.0002
[11-26 04:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.37 Lm: 6.922 (6.929) Lt: 6.237 (6.248) Accm: 2.28 (2.35) Acct: 3.71 (3.76) proj_loss: -0.5719 (-0.5708) time: 0.3564 data: 0.0002
[11-26 04:07:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1251/1669] eta: 0:02:30 tlr: 0.00018 tnm: 0.37 Lm: 6.997 (7.008) Lt: 6.304 (6.307) Accm: 2.21 (2.14) Acct: 3.46 (3.46) proj_loss: -0.5702 (-0.5699) time: 0.3564 data: 0.0003
[11-26 04:10:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.982 (6.972) Lt: 6.269 (6.276) Accm: 2.27 (2.25) Acct: 3.62 (3.60) proj_loss: -0.5748 (-0.5731) time: 0.3605 data: 0.0017
[11-26 04:10:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:10:01 (0.360 s / it)
[11-26 04:10:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.838 (6.892) Lt: 6.163 (6.208) Accm: 2.52 (2.43) Acct: 3.93 (3.82) proj_loss: -0.5705 (-0.5708) time: 0.3605 data: 0.0019
[11-26 04:10:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.880 (6.878) Lt: 6.233 (6.216) Accm: 2.51 (2.49) Acct: 3.87 (3.84) proj_loss: -0.5682 (-0.5684) time: 0.3605 data: 0.0015
[11-26 04:10:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 110/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.38 Lm: 6.979 (6.971) Lt: 6.311 (6.287) Accm: 2.26 (2.24) Acct: 3.67 (3.57) proj_loss: -0.5755 (-0.5674) time: 0.3605 data: 0.0018
[11-26 04:10:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:10:01 (0.360 s / it)
[11-26 04:10:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:10:01 (0.360 s / it)
[11-26 04:10:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 110/350] Total time: 0:10:01 (0.360 s / it)
[11-26 04:10:03] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.917 (6.926), Lt: 6.230 (6.241), Acc m&t: 2.39 3.77, Remain: 1 day, 15:59:33, Finish: 2024-11-27 04:09
[11-26 04:10:03] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.917 (6.926), Lt: 6.230 (6.241), Acc m&t: 2.39 3.77, Remain: 1 day, 15:59:24, Finish: 2024-11-27 04:09
[11-26 04:10:03] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.917 (6.926), Lt: 6.230 (6.241), Acc m&t: 2.39 3.77, Remain: 1 day, 16:01:52, Finish: 2024-11-27 04:11
[11-26 04:10:03] (/home/user/VAR/train.py , line 276)=> [ep110] (training ) Lm: 6.917 (6.926), Lt: 6.230 (6.241), Acc m&t: 2.39 3.77, Remain: 1 day, 16:01:43, Finish: 2024-11-27 04:11
[11-26 04:10:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:09:58 tlr: 0.00018 tnm: 0.36 Lm: 6.909 (6.909) Lt: 6.208 (6.208) Accm: 2.35 (2.35) Acct: 3.79 (3.79) proj_loss: -0.5669 (-0.5669) time: 0.3586 data: 0.0004
[11-26 04:10:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:09:59 tlr: 0.00018 tnm: 0.36 Lm: 6.672 (6.672) Lt: 5.979 (5.979) Accm: 2.94 (2.94) Acct: 4.77 (4.77) proj_loss: -0.5825 (-0.5825) time: 0.3594 data: 0.0003
[11-26 04:10:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:10:45 tlr: 0.00018 tnm: 0.36 Lm: 6.963 (6.963) Lt: 6.313 (6.313) Accm: 2.22 (2.22) Acct: 3.34 (3.34) proj_loss: -0.5799 (-0.5799) time: 0.3867 data: 0.0004
[11-26 04:10:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 0/1669] eta: 0:09:59 tlr: 0.00018 tnm: 0.36 Lm: 6.896 (6.896) Lt: 6.241 (6.241) Accm: 2.49 (2.49) Acct: 3.77 (3.77) proj_loss: -0.5898 (-0.5898) time: 0.3590 data: 0.0004
[11-26 04:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.34 Lm: 6.942 (6.942) Lt: 6.258 (6.258) Accm: 2.43 (2.43) Acct: 3.83 (3.83) proj_loss: -0.5705 (-0.5705) time: 0.3610 data: 0.0002
[11-26 04:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.34 Lm: 6.806 (6.806) Lt: 6.125 (6.125) Accm: 2.59 (2.59) Acct: 4.27 (4.27) proj_loss: -0.5818 (-0.5818) time: 0.3610 data: 0.0003
[11-26 04:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.34 Lm: 6.926 (6.926) Lt: 6.252 (6.252) Accm: 2.40 (2.40) Acct: 3.75 (3.75) proj_loss: -0.5767 (-0.5767) time: 0.3610 data: 0.0003
[11-26 04:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 417/1669] eta: 0:07:31 tlr: 0.00018 tnm: 0.34 Lm: 6.934 (6.934) Lt: 6.248 (6.248) Accm: 2.33 (2.33) Acct: 3.71 (3.71) proj_loss: -0.5672 (-0.5672) time: 0.3610 data: 0.0002
[11-26 04:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.34 Lm: 6.909 (6.909) Lt: 6.208 (6.218) Accm: 2.35 (2.44) Acct: 3.79 (3.95) proj_loss: -0.5674 (-0.5797) time: 0.3589 data: 0.0003
[11-26 04:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.34 Lm: 6.940 (6.905) Lt: 6.270 (6.229) Accm: 2.25 (2.36) Acct: 3.77 (3.85) proj_loss: -0.5825 (-0.5829) time: 0.3589 data: 0.0003
[11-26 04:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.34 Lm: 6.988 (6.964) Lt: 6.275 (6.270) Accm: 2.37 (2.36) Acct: 3.77 (3.76) proj_loss: -0.5733 (-0.5714) time: 0.3589 data: 0.0003
[11-26 04:15:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [ 834/1669] eta: 0:05:02 tlr: 0.00018 tnm: 0.34 Lm: 6.889 (6.899) Lt: 6.191 (6.229) Accm: 2.43 (2.41) Acct: 3.74 (3.75) proj_loss: -0.5799 (-0.5810) time: 0.3589 data: 0.0003
[11-26 04:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.956 (6.922) Lt: 6.307 (6.258) Accm: 2.34 (2.38) Acct: 3.79 (3.84) proj_loss: -0.5818 (-0.5775) time: 0.3605 data: 0.0003
[11-26 04:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.906 (6.908) Lt: 6.219 (6.221) Accm: 2.33 (2.39) Acct: 3.71 (3.85) proj_loss: -0.5672 (-0.5760) time: 0.3605 data: 0.0003
[11-26 04:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.942 (6.906) Lt: 6.258 (6.204) Accm: 2.43 (2.47) Acct: 3.83 (3.89) proj_loss: -0.5746 (-0.5726) time: 0.3605 data: 0.0002
[11-26 04:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1251/1669] eta: 0:02:31 tlr: 0.00018 tnm: 0.36 Lm: 6.926 (6.941) Lt: 6.252 (6.271) Accm: 2.32 (2.35) Acct: 3.62 (3.69) proj_loss: -0.5767 (-0.5761) time: 0.3605 data: 0.0003
[11-26 04:20:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.39 Lm: 6.940 (6.905) Lt: 6.270 (6.248) Accm: 2.43 (2.43) Acct: 3.81 (3.90) proj_loss: -0.5812 (-0.5756) time: 0.4052 data: 0.0019
[11-26 04:20:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.39 Lm: 6.988 (6.928) Lt: 6.275 (6.236) Accm: 2.37 (2.42) Acct: 3.77 (3.76) proj_loss: -0.5760 (-0.5743) time: 0.4052 data: 0.0014
[11-26 04:20:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.39 Lm: 6.904 (6.899) Lt: 6.208 (6.210) Accm: 2.35 (2.43) Acct: 3.79 (3.91) proj_loss: -0.5669 (-0.5692) time: 0.4052 data: 0.0016
[11-26 04:20:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 111/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.39 Lm: 6.963 (6.956) Lt: 6.313 (6.284) Accm: 2.22 (2.31) Acct: 3.51 (3.62) proj_loss: -0.5799 (-0.5778) time: 0.4052 data: 0.0022
[11-26 04:20:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:10:05 (0.363 s / it)
[11-26 04:20:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:10:05 (0.363 s / it)
[11-26 04:20:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:10:05 (0.363 s / it)
[11-26 04:20:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 111/350] Total time: 0:10:05 (0.363 s / it)
[11-26 04:20:09] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.915 (6.915), Lt: 6.227 (6.227), Acc m&t: 2.40 3.77, Remain: 1 day, 16:21:39, Finish: 2024-11-27 04:41
[11-26 04:20:09] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.915 (6.915), Lt: 6.227 (6.227), Acc m&t: 2.40 3.77, Remain: 1 day, 16:22:18, Finish: 2024-11-27 04:42
[11-26 04:20:09] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.915 (6.915), Lt: 6.227 (6.227), Acc m&t: 2.40 3.77, Remain: 1 day, 16:22:44, Finish: 2024-11-27 04:42
[11-26 04:20:09] (/home/user/VAR/train.py , line 276)=> [ep111] (training ) Lm: 6.915 (6.915), Lt: 6.227 (6.227), Acc m&t: 2.40 3.77, Remain: 1 day, 16:20:29, Finish: 2024-11-27 04:40
[11-26 04:20:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:09:35 tlr: 0.00018 tnm: 0.39 Lm: 6.890 (6.890) Lt: 6.187 (6.187) Accm: 2.46 (2.46) Acct: 3.96 (3.96) proj_loss: -0.5824 (-0.5824) time: 0.3450 data: 0.0003
[11-26 04:20:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:09:36 tlr: 0.00018 tnm: 0.39 Lm: 7.059 (7.059) Lt: 6.388 (6.388) Accm: 2.23 (2.23) Acct: 3.65 (3.65) proj_loss: -0.5599 (-0.5599) time: 0.3457 data: 0.0004
[11-26 04:20:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:09:35 tlr: 0.00018 tnm: 0.39 Lm: 6.890 (6.890) Lt: 6.204 (6.204) Accm: 2.55 (2.55) Acct: 4.05 (4.05) proj_loss: -0.5725 (-0.5725) time: 0.3450 data: 0.0003
[11-26 04:20:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 0/1669] eta: 0:09:37 tlr: 0.00018 tnm: 0.39 Lm: 6.994 (6.994) Lt: 6.324 (6.324) Accm: 2.24 (2.24) Acct: 3.37 (3.37) proj_loss: -0.5886 (-0.5886) time: 0.3459 data: 0.0004
[11-26 04:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:08:07 tlr: 0.00018 tnm: 0.35 Lm: 6.994 (6.994) Lt: 6.322 (6.322) Accm: 2.14 (2.14) Acct: 3.23 (3.23) proj_loss: -0.5933 (-0.5933) time: 0.4070 data: 0.0003
[11-26 04:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:08:07 tlr: 0.00018 tnm: 0.35 Lm: 6.919 (6.919) Lt: 6.248 (6.248) Accm: 2.49 (2.49) Acct: 3.68 (3.68) proj_loss: -0.5687 (-0.5687) time: 0.4070 data: 0.0002
[11-26 04:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:08:07 tlr: 0.00018 tnm: 0.35 Lm: 6.933 (6.933) Lt: 6.218 (6.218) Accm: 2.43 (2.43) Acct: 3.80 (3.80) proj_loss: -0.5849 (-0.5849) time: 0.4070 data: 0.0003
[11-26 04:22:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 417/1669] eta: 0:08:07 tlr: 0.00018 tnm: 0.35 Lm: 6.974 (6.974) Lt: 6.301 (6.301) Accm: 2.31 (2.31) Acct: 3.75 (3.75) proj_loss: -0.5613 (-0.5613) time: 0.4070 data: 0.0003
[11-26 04:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.36 Lm: 6.943 (6.963) Lt: 6.272 (6.291) Accm: 2.35 (2.32) Acct: 3.65 (3.66) proj_loss: -0.5627 (-0.5722) time: 0.3595 data: 0.0003
[11-26 04:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.36 Lm: 6.890 (6.905) Lt: 6.187 (6.199) Accm: 2.46 (2.45) Acct: 3.96 (3.91) proj_loss: -0.5824 (-0.5840) time: 0.3595 data: 0.0003
[11-26 04:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.36 Lm: 6.994 (6.944) Lt: 6.320 (6.251) Accm: 2.24 (2.25) Acct: 3.37 (3.33) proj_loss: -0.5886 (-0.5805) time: 0.3595 data: 0.0003
[11-26 04:25:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [ 834/1669] eta: 0:05:25 tlr: 0.00018 tnm: 0.36 Lm: 6.905 (6.914) Lt: 6.204 (6.230) Accm: 2.43 (2.46) Acct: 3.91 (3.75) proj_loss: -0.5725 (-0.5737) time: 0.3595 data: 0.0002
[11-26 04:28:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.38 Lm: 6.907 (6.913) Lt: 6.226 (6.235) Accm: 2.42 (2.38) Acct: 3.61 (3.59) proj_loss: -0.5780 (-0.5762) time: 0.3603 data: 0.0002
[11-26 04:28:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.38 Lm: 6.904 (6.908) Lt: 6.188 (6.197) Accm: 2.45 (2.45) Acct: 3.87 (3.88) proj_loss: -0.5823 (-0.5795) time: 0.3603 data: 0.0002
[11-26 04:28:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.38 Lm: 6.916 (6.933) Lt: 6.243 (6.243) Accm: 2.37 (2.39) Acct: 3.75 (3.75) proj_loss: -0.5615 (-0.5692) time: 0.3603 data: 0.0003
[11-26 04:28:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1251/1669] eta: 0:02:39 tlr: 0.00018 tnm: 0.38 Lm: 6.994 (6.988) Lt: 6.322 (6.305) Accm: 2.14 (2.15) Acct: 3.23 (3.19) proj_loss: -0.5844 (-0.5804) time: 0.3603 data: 0.0003
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.994 (6.977) Lt: 6.320 (6.291) Accm: 2.22 (2.17) Acct: 3.37 (3.24) proj_loss: -0.5801 (-0.5774) time: 0.3619 data: 0.0016
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:10:27 (0.376 s / it)
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.919 (6.917) Lt: 6.189 (6.207) Accm: 2.44 (2.40) Acct: 3.79 (3.86) proj_loss: -0.5824 (-0.5818) time: 0.3619 data: 0.0017
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.910 (6.926) Lt: 6.248 (6.249) Accm: 2.42 (2.35) Acct: 3.53 (3.58) proj_loss: -0.5725 (-0.5734) time: 0.3619 data: 0.0018
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 112/350] [1668/1669] eta: 0:00:00 tlr: 0.00018 tnm: 0.36 Lm: 6.888 (6.897) Lt: 6.215 (6.204) Accm: 2.40 (2.49) Acct: 3.86 (3.93) proj_loss: -0.5627 (-0.5704) time: 0.3619 data: 0.0016
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:10:27 (0.376 s / it)
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:10:27 (0.376 s / it)
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 112/350] Total time: 0:10:27 (0.376 s / it)
[11-26 04:30:36] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.914 (6.914), Lt: 6.224 (6.224), Acc m&t: 2.40 3.77, Remain: 1 day, 15:57:48, Finish: 2024-11-27 04:28
[11-26 04:30:36] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.914 (6.914), Lt: 6.224 (6.224), Acc m&t: 2.40 3.77, Remain: 1 day, 15:58:12, Finish: 2024-11-27 04:28
[11-26 04:30:36] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.914 (6.914), Lt: 6.224 (6.224), Acc m&t: 2.40 3.77, Remain: 1 day, 15:59:19, Finish: 2024-11-27 04:29
[11-26 04:30:36] (/home/user/VAR/train.py , line 276)=> [ep112] (training ) Lm: 6.914 (6.914), Lt: 6.224 (6.224), Acc m&t: 2.40 3.77, Remain: 1 day, 15:57:37, Finish: 2024-11-27 04:28
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:09:34 tlr: 0.00018 tnm: 0.34 Lm: 6.913 (6.913) Lt: 6.174 (6.174) Accm: 2.26 (2.26) Acct: 3.70 (3.70) proj_loss: -0.5606 (-0.5606) time: 0.3444 data: 0.0004
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:09:35 tlr: 0.00018 tnm: 0.34 Lm: 6.803 (6.803) Lt: 6.130 (6.130) Accm: 2.62 (2.62) Acct: 4.20 (4.20) proj_loss: -0.5763 (-0.5763) time: 0.3446 data: 0.0004
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:09:35 tlr: 0.00018 tnm: 0.34 Lm: 7.006 (7.006) Lt: 6.319 (6.319) Accm: 2.30 (2.30) Acct: 3.53 (3.53) proj_loss: -0.5662 (-0.5662) time: 0.3450 data: 0.0003
[11-26 04:30:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 0/1669] eta: 0:09:35 tlr: 0.00018 tnm: 0.34 Lm: 6.882 (6.882) Lt: 6.201 (6.201) Accm: 2.35 (2.35) Acct: 3.72 (3.72) proj_loss: -0.5930 (-0.5930) time: 0.3449 data: 0.0003
[11-26 04:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.935 (6.935) Lt: 6.268 (6.268) Accm: 2.28 (2.28) Acct: 3.64 (3.64) proj_loss: -0.5856 (-0.5856) time: 0.3595 data: 0.0002
[11-26 04:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.873 (6.873) Lt: 6.149 (6.149) Accm: 2.41 (2.41) Acct: 3.81 (3.81) proj_loss: -0.5612 (-0.5612) time: 0.3595 data: 0.0003
[11-26 04:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.934 (6.934) Lt: 6.232 (6.232) Accm: 2.48 (2.48) Acct: 3.89 (3.89) proj_loss: -0.5631 (-0.5631) time: 0.3595 data: 0.0003
[11-26 04:33:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 417/1669] eta: 0:07:30 tlr: 0.00018 tnm: 0.38 Lm: 6.887 (6.887) Lt: 6.213 (6.213) Accm: 2.44 (2.44) Acct: 3.81 (3.81) proj_loss: -0.5750 (-0.5750) time: 0.3595 data: 0.0003
[11-26 04:35:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:05:00 tlr: 0.00017 tnm: 0.34 Lm: 6.923 (6.899) Lt: 6.252 (6.226) Accm: 2.26 (2.36) Acct: 3.46 (3.69) proj_loss: -0.5763 (-0.5762) time: 0.3594 data: 0.0003
[11-26 04:35:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:05:00 tlr: 0.00017 tnm: 0.34 Lm: 6.886 (6.877) Lt: 6.174 (6.176) Accm: 2.55 (2.46) Acct: 3.75 (3.79) proj_loss: -0.5618 (-0.5641) time: 0.3594 data: 0.0003
[11-26 04:35:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:05:00 tlr: 0.00017 tnm: 0.34 Lm: 6.956 (6.942) Lt: 6.305 (6.281) Accm: 2.21 (2.22) Acct: 3.56 (3.55) proj_loss: -0.5930 (-0.5884) time: 0.3594 data: 0.0002
[11-26 04:35:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [ 834/1669] eta: 0:05:00 tlr: 0.00017 tnm: 0.34 Lm: 7.006 (6.970) Lt: 6.319 (6.271) Accm: 2.30 (2.36) Acct: 3.53 (3.64) proj_loss: -0.5662 (-0.5663) time: 0.3594 data: 0.0003
[11-26 04:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.38 Lm: 6.935 (6.944) Lt: 6.254 (6.250) Accm: 2.36 (2.37) Acct: 3.85 (3.77) proj_loss: -0.5684 (-0.5674) time: 0.3592 data: 0.0003
[11-26 04:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.38 Lm: 6.876 (6.875) Lt: 6.184 (6.180) Accm: 2.56 (2.51) Acct: 3.83 (3.87) proj_loss: -0.5657 (-0.5654) time: 0.3592 data: 0.0002
[11-26 04:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.38 Lm: 6.972 (6.957) Lt: 6.320 (6.294) Accm: 2.28 (2.25) Acct: 3.64 (3.62) proj_loss: -0.5856 (-0.5856) time: 0.3592 data: 0.0003
[11-26 04:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.38 Lm: 6.947 (6.919) Lt: 6.256 (6.234) Accm: 2.23 (2.30) Acct: 3.43 (3.60) proj_loss: -0.5775 (-0.5773) time: 0.3592 data: 0.0003
[11-26 04:40:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.923 (6.897) Lt: 6.252 (6.213) Accm: 2.26 (2.39) Acct: 3.46 (3.77) proj_loss: -0.5763 (-0.5756) time: 0.3631 data: 0.0028
[11-26 04:40:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:10:01 (0.360 s / it)
[11-26 04:40:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.886 (6.881) Lt: 6.174 (6.176) Accm: 2.55 (2.51) Acct: 3.91 (3.90) proj_loss: -0.5696 (-0.5676) time: 0.3631 data: 0.0016
[11-26 04:40:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.864 (6.911) Lt: 6.188 (6.214) Accm: 2.41 (2.45) Acct: 4.13 (3.84) proj_loss: -0.5705 (-0.5697) time: 0.3631 data: 0.0017
[11-26 04:40:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 113/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.956 (6.954) Lt: 6.305 (6.287) Accm: 2.35 (2.27) Acct: 3.72 (3.68) proj_loss: -0.5783 (-0.5822) time: 0.3631 data: 0.0015
[11-26 04:40:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:10:01 (0.360 s / it)
[11-26 04:40:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:10:01 (0.360 s / it)
[11-26 04:40:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 113/350] Total time: 0:10:01 (0.360 s / it)
[11-26 04:40:37] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.912 (6.912), Lt: 6.224 (6.226), Acc m&t: 2.40 3.77, Remain: 1 day, 15:55:54, Finish: 2024-11-27 04:36
[11-26 04:40:37] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.912 (6.912), Lt: 6.224 (6.226), Acc m&t: 2.40 3.77, Remain: 1 day, 15:54:55, Finish: 2024-11-27 04:35
[11-26 04:40:37] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.912 (6.912), Lt: 6.224 (6.226), Acc m&t: 2.40 3.77, Remain: 1 day, 15:55:41, Finish: 2024-11-27 04:36
[11-26 04:40:37] (/home/user/VAR/train.py , line 276)=> [ep113] (training ) Lm: 6.912 (6.912), Lt: 6.224 (6.226), Acc m&t: 2.40 3.77, Remain: 1 day, 15:56:03, Finish: 2024-11-27 04:36
[11-26 04:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:09:35 tlr: 0.00017 tnm: 0.34 Lm: 7.089 (7.089) Lt: 6.381 (6.381) Accm: 2.10 (2.10) Acct: 3.58 (3.58) proj_loss: -0.5464 (-0.5464) time: 0.3448 data: 0.0004
[11-26 04:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:09:32 tlr: 0.00017 tnm: 0.34 Lm: 6.892 (6.892) Lt: 6.223 (6.223) Accm: 2.29 (2.29) Acct: 3.60 (3.60) proj_loss: -0.5630 (-0.5630) time: 0.3432 data: 0.0004
[11-26 04:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:09:33 tlr: 0.00017 tnm: 0.34 Lm: 6.940 (6.940) Lt: 6.240 (6.240) Accm: 2.35 (2.35) Acct: 3.72 (3.72) proj_loss: -0.5583 (-0.5583) time: 0.3437 data: 0.0004
[11-26 04:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 0/1669] eta: 0:10:16 tlr: 0.00017 tnm: 0.34 Lm: 6.932 (6.932) Lt: 6.216 (6.216) Accm: 2.48 (2.48) Acct: 4.22 (4.22) proj_loss: -0.5729 (-0.5729) time: 0.3692 data: 0.0004
[11-26 04:43:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 6.941 (6.941) Lt: 6.227 (6.227) Accm: 2.35 (2.35) Acct: 3.81 (3.81) proj_loss: -0.5697 (-0.5697) time: 0.3582 data: 0.0003
[11-26 04:43:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 6.931 (6.931) Lt: 6.261 (6.261) Accm: 2.36 (2.36) Acct: 3.84 (3.84) proj_loss: -0.5666 (-0.5666) time: 0.3582 data: 0.0002
[11-26 04:43:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 6.960 (6.960) Lt: 6.274 (6.274) Accm: 2.35 (2.35) Acct: 3.73 (3.73) proj_loss: -0.5551 (-0.5551) time: 0.3582 data: 0.0002
[11-26 04:43:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 7.021 (7.021) Lt: 6.295 (6.295) Accm: 2.19 (2.19) Acct: 3.63 (3.63) proj_loss: -0.5598 (-0.5598) time: 0.3582 data: 0.0003
[11-26 04:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.953 (6.981) Lt: 6.237 (6.275) Accm: 2.27 (2.24) Acct: 3.68 (3.68) proj_loss: -0.5732 (-0.5666) time: 0.3616 data: 0.0003
[11-26 04:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.940 (6.900) Lt: 6.240 (6.199) Accm: 2.35 (2.59) Acct: 3.74 (4.16) proj_loss: -0.5583 (-0.5585) time: 0.3616 data: 0.0002
[11-26 04:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.920 (6.927) Lt: 6.234 (6.252) Accm: 2.43 (2.45) Acct: 4.08 (3.95) proj_loss: -0.5702 (-0.5746) time: 0.3616 data: 0.0003
[11-26 04:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.932 (6.901) Lt: 6.216 (6.191) Accm: 2.48 (2.45) Acct: 4.22 (3.95) proj_loss: -0.5717 (-0.5704) time: 0.3616 data: 0.0003
[11-26 04:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.38 Lm: 6.911 (6.898) Lt: 6.189 (6.184) Accm: 2.41 (2.42) Acct: 3.99 (3.91) proj_loss: -0.5691 (-0.5659) time: 0.3592 data: 0.0002
[11-26 04:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.38 Lm: 6.960 (6.939) Lt: 6.274 (6.246) Accm: 2.35 (2.45) Acct: 3.73 (3.91) proj_loss: -0.5617 (-0.5635) time: 0.3592 data: 0.0002
[11-26 04:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.38 Lm: 6.950 (6.973) Lt: 6.252 (6.273) Accm: 2.21 (2.22) Acct: 3.63 (3.62) proj_loss: -0.5767 (-0.5713) time: 0.3592 data: 0.0003
[11-26 04:48:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.38 Lm: 6.945 (6.964) Lt: 6.267 (6.302) Accm: 2.36 (2.31) Acct: 3.84 (3.73) proj_loss: -0.5715 (-0.5742) time: 0.3592 data: 0.0003
[11-26 04:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.920 (6.939) Lt: 6.234 (6.268) Accm: 2.43 (2.38) Acct: 4.08 (3.85) proj_loss: -0.5702 (-0.5714) time: 0.4433 data: 0.0015
[11-26 04:50:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:10:12 (0.367 s / it)
[11-26 04:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.953 (6.976) Lt: 6.267 (6.295) Accm: 2.22 (2.22) Acct: 3.58 (3.60) proj_loss: -0.5803 (-0.5733) time: 0.4433 data: 0.0016
[11-26 04:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.926 (6.904) Lt: 6.216 (6.192) Accm: 2.35 (2.40) Acct: 3.77 (3.85) proj_loss: -0.5717 (-0.5725) time: 0.4433 data: 0.0018
[11-26 04:50:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 114/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.940 (6.926) Lt: 6.240 (6.230) Accm: 2.35 (2.45) Acct: 3.72 (3.86) proj_loss: -0.5651 (-0.5669) time: 0.4433 data: 0.0020
[11-26 04:50:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:10:12 (0.367 s / it)
[11-26 04:50:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:10:12 (0.367 s / it)
[11-26 04:50:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 114/350] Total time: 0:10:12 (0.367 s / it)
[11-26 04:50:50] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.912 (6.916), Lt: 6.224 (6.226), Acc m&t: 2.40 3.77, Remain: 1 day, 15:28:21, Finish: 2024-11-27 04:19
[11-26 04:50:50] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.912 (6.916), Lt: 6.224 (6.226), Acc m&t: 2.40 3.77, Remain: 1 day, 15:28:27, Finish: 2024-11-27 04:19
[11-26 04:50:50] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.912 (6.916), Lt: 6.224 (6.226), Acc m&t: 2.40 3.77, Remain: 1 day, 15:28:35, Finish: 2024-11-27 04:19
[11-26 04:50:50] (/home/user/VAR/train.py , line 276)=> [ep114] (training ) Lm: 6.912 (6.916), Lt: 6.224 (6.226), Acc m&t: 2.40 3.77, Remain: 1 day, 15:27:14, Finish: 2024-11-27 04:18
[11-26 04:50:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:09:40 tlr: 0.00017 tnm: 0.34 Lm: 7.001 (7.001) Lt: 6.377 (6.377) Accm: 2.26 (2.26) Acct: 3.62 (3.62) proj_loss: -0.5970 (-0.5970) time: 0.3481 data: 0.0003
[11-26 04:50:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:09:39 tlr: 0.00017 tnm: 0.34 Lm: 7.032 (7.032) Lt: 6.304 (6.304) Accm: 2.05 (2.05) Acct: 3.32 (3.32) proj_loss: -0.5726 (-0.5726) time: 0.3474 data: 0.0009
[11-26 04:50:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:09:42 tlr: 0.00017 tnm: 0.34 Lm: 6.873 (6.873) Lt: 6.171 (6.171) Accm: 2.72 (2.72) Acct: 4.06 (4.06) proj_loss: -0.5660 (-0.5660) time: 0.3489 data: 0.0004
[11-26 04:50:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 0/1669] eta: 0:09:42 tlr: 0.00017 tnm: 0.34 Lm: 7.034 (7.034) Lt: 6.353 (6.353) Accm: 2.34 (2.34) Acct: 3.93 (3.93) proj_loss: -0.5846 (-0.5846) time: 0.3491 data: 0.0003
[11-26 04:53:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:08:18 tlr: 0.00017 tnm: 0.37 Lm: 6.988 (6.988) Lt: 6.317 (6.317) Accm: 2.29 (2.29) Acct: 3.63 (3.63) proj_loss: -0.5827 (-0.5827) time: 0.4062 data: 0.0003
[11-26 04:53:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:08:18 tlr: 0.00017 tnm: 0.37 Lm: 7.040 (7.040) Lt: 6.365 (6.365) Accm: 2.08 (2.08) Acct: 3.37 (3.37) proj_loss: -0.5830 (-0.5830) time: 0.4062 data: 0.0003
[11-26 04:53:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:08:18 tlr: 0.00017 tnm: 0.37 Lm: 6.945 (6.945) Lt: 6.279 (6.279) Accm: 2.47 (2.47) Acct: 3.90 (3.90) proj_loss: -0.5865 (-0.5865) time: 0.4062 data: 0.0003
[11-26 04:53:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 417/1669] eta: 0:08:18 tlr: 0.00017 tnm: 0.37 Lm: 6.945 (6.945) Lt: 6.275 (6.275) Accm: 2.45 (2.45) Acct: 3.77 (3.77) proj_loss: -0.5714 (-0.5714) time: 0.4062 data: 0.0003
[11-26 04:56:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:05:21 tlr: 0.00017 tnm: 0.36 Lm: 7.016 (6.984) Lt: 6.379 (6.315) Accm: 2.21 (2.37) Acct: 3.51 (3.68) proj_loss: -0.5660 (-0.5690) time: 0.3594 data: 0.0003
[11-26 04:56:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:05:21 tlr: 0.00017 tnm: 0.36 Lm: 7.032 (7.005) Lt: 6.304 (6.327) Accm: 2.10 (2.11) Acct: 3.41 (3.44) proj_loss: -0.5933 (-0.5875) time: 0.3593 data: 0.0002
[11-26 04:56:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:05:21 tlr: 0.00017 tnm: 0.36 Lm: 7.001 (6.979) Lt: 6.377 (6.313) Accm: 2.26 (2.36) Acct: 3.62 (3.75) proj_loss: -0.5760 (-0.5807) time: 0.3593 data: 0.0002
[11-26 04:56:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [ 834/1669] eta: 0:05:21 tlr: 0.00017 tnm: 0.36 Lm: 6.941 (6.948) Lt: 6.280 (6.272) Accm: 2.34 (2.33) Acct: 3.75 (3.67) proj_loss: -0.5846 (-0.5864) time: 0.3593 data: 0.0003
[11-26 04:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.38 Lm: 6.904 (6.914) Lt: 6.232 (6.215) Accm: 2.38 (2.44) Acct: 3.84 (3.87) proj_loss: -0.5827 (-0.5799) time: 0.3615 data: 0.0003
[11-26 04:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.38 Lm: 6.986 (6.989) Lt: 6.289 (6.314) Accm: 2.15 (2.18) Acct: 3.50 (3.50) proj_loss: -0.5850 (-0.5848) time: 0.3615 data: 0.0002
[11-26 04:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.38 Lm: 6.950 (6.959) Lt: 6.275 (6.276) Accm: 2.39 (2.42) Acct: 3.79 (3.82) proj_loss: -0.5671 (-0.5688) time: 0.3615 data: 0.0003
[11-26 04:58:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.38 Lm: 6.945 (6.930) Lt: 6.279 (6.250) Accm: 2.41 (2.41) Acct: 3.87 (3.84) proj_loss: -0.5795 (-0.5812) time: 0.3615 data: 0.0002
[11-26 05:01:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 7.001 (6.958) Lt: 6.377 (6.280) Accm: 2.26 (2.34) Acct: 3.62 (3.72) proj_loss: -0.5802 (-0.5810) time: 0.3607 data: 0.0019
[11-26 05:01:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:10:23 (0.373 s / it)
[11-26 05:01:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.934 (6.954) Lt: 6.275 (6.276) Accm: 2.56 (2.45) Acct: 3.96 (3.85) proj_loss: -0.5660 (-0.5677) time: 0.3607 data: 0.0017
[11-26 05:01:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.946 (6.980) Lt: 6.275 (6.300) Accm: 2.19 (2.23) Acct: 3.60 (3.62) proj_loss: -0.5767 (-0.5819) time: 0.3607 data: 0.0020
[11-26 05:01:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 115/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.924 (6.916) Lt: 6.247 (6.221) Accm: 2.34 (2.41) Acct: 3.75 (3.81) proj_loss: -0.5807 (-0.5721) time: 0.3607 data: 0.0016
[11-26 05:01:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:10:23 (0.373 s / it)
[11-26 05:01:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:10:23 (0.373 s / it)
[11-26 05:01:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 115/350] Total time: 0:10:23 (0.373 s / it)
[11-26 05:01:13] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.912 (6.912), Lt: 6.222 (6.222), Acc m&t: 2.42 3.81, Remain: 1 day, 15:23:05, Finish: 2024-11-27 04:24
[11-26 05:01:13] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.912 (6.912), Lt: 6.222 (6.222), Acc m&t: 2.42 3.81, Remain: 1 day, 15:23:21, Finish: 2024-11-27 04:24
[11-26 05:01:13] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.912 (6.912), Lt: 6.222 (6.222), Acc m&t: 2.42 3.81, Remain: 1 day, 15:22:06, Finish: 2024-11-27 04:23
[11-26 05:01:13] (/home/user/VAR/train.py , line 276)=> [ep115] (training ) Lm: 6.912 (6.912), Lt: 6.222 (6.222), Acc m&t: 2.42 3.81, Remain: 1 day, 15:22:19, Finish: 2024-11-27 04:23
[11-26 05:01:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:09:51 tlr: 0.00017 tnm: 0.38 Lm: 6.876 (6.876) Lt: 6.175 (6.175) Accm: 2.75 (2.75) Acct: 4.30 (4.30) proj_loss: -0.5690 (-0.5690) time: 0.3546 data: 0.0004
[11-26 05:01:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:09:51 tlr: 0.00017 tnm: 0.38 Lm: 6.999 (6.999) Lt: 6.322 (6.322) Accm: 2.19 (2.19) Acct: 3.12 (3.12) proj_loss: -0.5880 (-0.5880) time: 0.3547 data: 0.0003
[11-26 05:01:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:09:51 tlr: 0.00017 tnm: 0.38 Lm: 7.008 (7.008) Lt: 6.307 (6.307) Accm: 2.09 (2.09) Acct: 3.36 (3.36) proj_loss: -0.5598 (-0.5598) time: 0.3546 data: 0.0004
[11-26 05:01:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 0/1669] eta: 0:09:52 tlr: 0.00017 tnm: 0.38 Lm: 6.891 (6.891) Lt: 6.194 (6.194) Accm: 2.33 (2.33) Acct: 3.62 (3.62) proj_loss: -0.5727 (-0.5727) time: 0.3550 data: 0.0004
[11-26 05:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.888 (6.888) Lt: 6.205 (6.205) Accm: 2.50 (2.50) Acct: 3.83 (3.83) proj_loss: -0.5894 (-0.5894) time: 0.3658 data: 0.0003
[11-26 05:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 7.019 (7.019) Lt: 6.355 (6.355) Accm: 2.12 (2.12) Acct: 3.43 (3.43) proj_loss: -0.5742 (-0.5742) time: 0.3658 data: 0.0003
[11-26 05:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.857 (6.857) Lt: 6.170 (6.170) Accm: 2.60 (2.60) Acct: 4.10 (4.10) proj_loss: -0.5686 (-0.5686) time: 0.3658 data: 0.0003
[11-26 05:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.903 (6.903) Lt: 6.212 (6.212) Accm: 2.51 (2.51) Acct: 3.58 (3.58) proj_loss: -0.5750 (-0.5750) time: 0.3658 data: 0.0003
[11-26 05:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.807 (6.862) Lt: 6.103 (6.151) Accm: 2.74 (2.59) Acct: 4.05 (3.85) proj_loss: -0.5719 (-0.5739) time: 0.3616 data: 0.0003
[11-26 05:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 7.030 (7.044) Lt: 6.402 (6.391) Accm: 2.09 (2.06) Acct: 3.36 (3.35) proj_loss: -0.5677 (-0.5720) time: 0.3616 data: 0.0003
[11-26 05:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.885 (6.844) Lt: 6.194 (6.146) Accm: 2.67 (2.65) Acct: 4.05 (4.17) proj_loss: -0.5727 (-0.5818) time: 0.3616 data: 0.0003
[11-26 05:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.876 (6.932) Lt: 6.175 (6.273) Accm: 2.45 (2.50) Acct: 3.89 (3.89) proj_loss: -0.5690 (-0.5724) time: 0.3616 data: 0.0003
[11-26 05:08:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.34 Lm: 6.878 (6.919) Lt: 6.197 (6.259) Accm: 2.50 (2.51) Acct: 3.84 (3.87) proj_loss: -0.5745 (-0.5800) time: 0.3623 data: 0.0003
[11-26 05:08:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.34 Lm: 7.029 (7.040) Lt: 6.390 (6.388) Accm: 2.06 (2.05) Acct: 3.36 (3.35) proj_loss: -0.5722 (-0.5732) time: 0.3623 data: 0.0002
[11-26 05:08:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.34 Lm: 6.888 (6.869) Lt: 6.205 (6.178) Accm: 2.55 (2.60) Acct: 3.94 (4.08) proj_loss: -0.5781 (-0.5822) time: 0.3623 data: 0.0002
[11-26 05:08:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.34 Lm: 6.867 (6.878) Lt: 6.181 (6.178) Accm: 2.46 (2.46) Acct: 3.63 (3.69) proj_loss: -0.5755 (-0.5752) time: 0.3623 data: 0.0003
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.807 (6.855) Lt: 6.114 (6.165) Accm: 2.70 (2.51) Acct: 3.82 (3.72) proj_loss: -0.5791 (-0.5783) time: 0.3617 data: 0.0018
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:10:03 (0.361 s / it)
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 7.028 (7.015) Lt: 6.377 (6.356) Accm: 2.09 (2.16) Acct: 3.36 (3.53) proj_loss: -0.5766 (-0.5755) time: 0.3617 data: 0.0017
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.880 (6.920) Lt: 6.219 (6.252) Accm: 2.45 (2.45) Acct: 3.79 (3.78) proj_loss: -0.5748 (-0.5789) time: 0.3617 data: 0.0013
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 116/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.34 Lm: 6.885 (6.869) Lt: 6.194 (6.177) Accm: 2.50 (2.58) Acct: 3.84 (3.99) proj_loss: -0.5794 (-0.5817) time: 0.3617 data: 0.0018
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:10:03 (0.361 s / it)
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:10:03 (0.361 s / it)
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 116/350] Total time: 0:10:03 (0.361 s / it)
[11-26 05:11:17] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.907 (6.907), Lt: 6.218 (6.218), Acc m&t: 2.42 3.81, Remain: 1 day, 15:11:58, Finish: 2024-11-27 04:23
[11-26 05:11:17] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.907 (6.907), Lt: 6.218 (6.218), Acc m&t: 2.42 3.81, Remain: 1 day, 15:05:30, Finish: 2024-11-27 04:16
[11-26 05:11:17] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.907 (6.907), Lt: 6.218 (6.218), Acc m&t: 2.42 3.81, Remain: 1 day, 15:08:29, Finish: 2024-11-27 04:19
[11-26 05:11:17] (/home/user/VAR/train.py , line 276)=> [ep116] (training ) Lm: 6.907 (6.907), Lt: 6.218 (6.218), Acc m&t: 2.42 3.81, Remain: 1 day, 15:12:01, Finish: 2024-11-27 04:23
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:09:34 tlr: 0.00017 tnm: 0.36 Lm: 6.853 (6.853) Lt: 6.140 (6.140) Accm: 2.32 (2.32) Acct: 3.74 (3.74) proj_loss: -0.5630 (-0.5630) time: 0.3440 data: 0.0004
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:09:32 tlr: 0.00017 tnm: 0.36 Lm: 6.846 (6.846) Lt: 6.151 (6.151) Accm: 2.33 (2.33) Acct: 3.81 (3.81) proj_loss: -0.5863 (-0.5863) time: 0.3432 data: 0.0003
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:09:34 tlr: 0.00017 tnm: 0.36 Lm: 6.943 (6.943) Lt: 6.301 (6.301) Accm: 2.11 (2.11) Acct: 3.19 (3.19) proj_loss: -0.5759 (-0.5759) time: 0.3444 data: 0.0003
[11-26 05:11:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 0/1669] eta: 0:09:31 tlr: 0.00017 tnm: 0.36 Lm: 6.841 (6.841) Lt: 6.160 (6.160) Accm: 2.65 (2.65) Acct: 4.41 (4.41) proj_loss: -0.5789 (-0.5789) time: 0.3425 data: 0.0003
[11-26 05:13:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.917 (6.917) Lt: 6.234 (6.234) Accm: 2.47 (2.47) Acct: 4.04 (4.04) proj_loss: -0.5736 (-0.5736) time: 0.3621 data: 0.0002
[11-26 05:13:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.922 (6.922) Lt: 6.279 (6.279) Accm: 2.16 (2.16) Acct: 3.37 (3.37) proj_loss: -0.5823 (-0.5823) time: 0.3621 data: 0.0003
[11-26 05:13:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.870 (6.870) Lt: 6.195 (6.195) Accm: 2.45 (2.45) Acct: 3.81 (3.81) proj_loss: -0.5762 (-0.5762) time: 0.3621 data: 0.0003
[11-26 05:13:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 417/1669] eta: 0:07:33 tlr: 0.00017 tnm: 0.38 Lm: 6.910 (6.910) Lt: 6.224 (6.224) Accm: 2.25 (2.25) Acct: 3.58 (3.58) proj_loss: -0.5882 (-0.5882) time: 0.3621 data: 0.0003
[11-26 05:16:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.35 Lm: 6.863 (6.894) Lt: 6.205 (6.217) Accm: 2.33 (2.36) Acct: 3.81 (3.75) proj_loss: -0.5863 (-0.5847) time: 0.3606 data: 0.0003
[11-26 05:16:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.35 Lm: 6.886 (6.884) Lt: 6.219 (6.203) Accm: 2.56 (2.49) Acct: 3.89 (3.97) proj_loss: -0.5814 (-0.5779) time: 0.3606 data: 0.0003
[11-26 05:16:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.35 Lm: 6.933 (6.923) Lt: 6.202 (6.223) Accm: 2.29 (2.40) Acct: 3.67 (3.82) proj_loss: -0.5764 (-0.5746) time: 0.3606 data: 0.0002
[11-26 05:16:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.35 Lm: 6.943 (6.948) Lt: 6.301 (6.302) Accm: 2.13 (2.15) Acct: 3.27 (3.33) proj_loss: -0.5759 (-0.5780) time: 0.3606 data: 0.0006
[11-26 05:18:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.36 Lm: 6.972 (6.971) Lt: 6.325 (6.328) Accm: 2.18 (2.21) Acct: 3.41 (3.43) proj_loss: -0.5778 (-0.5784) time: 0.4072 data: 0.0003
[11-26 05:18:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.36 Lm: 6.900 (6.905) Lt: 6.235 (6.223) Accm: 2.44 (2.44) Acct: 3.81 (3.82) proj_loss: -0.5805 (-0.5783) time: 0.4072 data: 0.0003
[11-26 05:18:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.36 Lm: 6.887 (6.892) Lt: 6.181 (6.179) Accm: 2.47 (2.50) Acct: 4.01 (3.96) proj_loss: -0.5724 (-0.5720) time: 0.4072 data: 0.0003
[11-26 05:18:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1251/1669] eta: 0:02:32 tlr: 0.00017 tnm: 0.36 Lm: 6.855 (6.882) Lt: 6.178 (6.187) Accm: 2.46 (2.47) Acct: 3.95 (4.00) proj_loss: -0.5821 (-0.5775) time: 0.4072 data: 0.0003
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.863 (6.903) Lt: 6.205 (6.207) Accm: 2.33 (2.43) Acct: 3.81 (3.96) proj_loss: -0.5863 (-0.5800) time: 0.4076 data: 0.0019
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:10:18 (0.370 s / it)
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.886 (6.880) Lt: 6.219 (6.191) Accm: 2.56 (2.52) Acct: 3.89 (3.94) proj_loss: -0.5795 (-0.5769) time: 0.4076 data: 0.0019
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.850 (6.884) Lt: 6.160 (6.167) Accm: 2.54 (2.51) Acct: 4.17 (4.00) proj_loss: -0.5764 (-0.5766) time: 0.4076 data: 0.0020
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 117/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.943 (6.946) Lt: 6.301 (6.301) Accm: 2.22 (2.33) Acct: 3.55 (3.56) proj_loss: -0.5796 (-0.5795) time: 0.4076 data: 0.0018
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:10:18 (0.370 s / it)
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:10:18 (0.370 s / it)
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 117/350] Total time: 0:10:18 (0.370 s / it)
[11-26 05:21:35] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.907 (6.915), Lt: 6.218 (6.229), Acc m&t: 2.42 3.81, Remain: 1 day, 15:24:34, Finish: 2024-11-27 04:46
[11-26 05:21:35] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.907 (6.915), Lt: 6.218 (6.229), Acc m&t: 2.42 3.81, Remain: 1 day, 15:23:39, Finish: 2024-11-27 04:45
[11-26 05:21:35] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.907 (6.915), Lt: 6.218 (6.229), Acc m&t: 2.42 3.81, Remain: 1 day, 15:25:56, Finish: 2024-11-27 04:47
[11-26 05:21:35] (/home/user/VAR/train.py , line 276)=> [ep117] (training ) Lm: 6.907 (6.915), Lt: 6.218 (6.229), Acc m&t: 2.42 3.81, Remain: 1 day, 15:22:57, Finish: 2024-11-27 04:44
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:09:29 tlr: 0.00017 tnm: 0.37 Lm: 6.826 (6.826) Lt: 6.157 (6.157) Accm: 2.71 (2.71) Acct: 4.36 (4.36) proj_loss: -0.5808 (-0.5808) time: 0.3411 data: 0.0003
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:09:30 tlr: 0.00017 tnm: 0.37 Lm: 6.850 (6.850) Lt: 6.184 (6.184) Accm: 2.53 (2.53) Acct: 4.25 (4.25) proj_loss: -0.5789 (-0.5789) time: 0.3417 data: 0.0004
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:09:31 tlr: 0.00017 tnm: 0.37 Lm: 6.990 (6.990) Lt: 6.334 (6.334) Accm: 2.16 (2.16) Acct: 3.62 (3.62) proj_loss: -0.5848 (-0.5848) time: 0.3424 data: 0.0004
[11-26 05:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 0/1669] eta: 0:09:31 tlr: 0.00017 tnm: 0.37 Lm: 6.909 (6.909) Lt: 6.205 (6.205) Accm: 2.33 (2.33) Acct: 3.72 (3.72) proj_loss: -0.5696 (-0.5696) time: 0.3423 data: 0.0004
[11-26 05:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:08:12 tlr: 0.00017 tnm: 0.37 Lm: 6.966 (6.966) Lt: 6.293 (6.293) Accm: 2.25 (2.25) Acct: 3.48 (3.48) proj_loss: -0.5802 (-0.5802) time: 0.3597 data: 0.0003
[11-26 05:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:08:12 tlr: 0.00017 tnm: 0.37 Lm: 6.956 (6.956) Lt: 6.271 (6.271) Accm: 2.23 (2.23) Acct: 3.65 (3.65) proj_loss: -0.5822 (-0.5822) time: 0.3597 data: 0.0003
[11-26 05:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:08:12 tlr: 0.00017 tnm: 0.37 Lm: 6.912 (6.912) Lt: 6.266 (6.266) Accm: 2.38 (2.38) Acct: 3.88 (3.88) proj_loss: -0.5814 (-0.5814) time: 0.3597 data: 0.0002
[11-26 05:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 417/1669] eta: 0:08:12 tlr: 0.00017 tnm: 0.37 Lm: 6.876 (6.876) Lt: 6.165 (6.165) Accm: 2.54 (2.54) Acct: 4.05 (4.05) proj_loss: -0.5735 (-0.5735) time: 0.3597 data: 0.0002
[11-26 05:26:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:05:17 tlr: 0.00017 tnm: 0.37 Lm: 6.875 (6.876) Lt: 6.173 (6.174) Accm: 2.37 (2.48) Acct: 3.81 (3.97) proj_loss: -0.5707 (-0.5726) time: 0.3609 data: 0.0002
[11-26 05:26:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:05:17 tlr: 0.00017 tnm: 0.37 Lm: 6.909 (6.937) Lt: 6.236 (6.274) Accm: 2.33 (2.32) Acct: 3.72 (3.62) proj_loss: -0.5853 (-0.5819) time: 0.3609 data: 0.0003
[11-26 05:26:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:05:17 tlr: 0.00017 tnm: 0.37 Lm: 6.856 (6.893) Lt: 6.184 (6.204) Accm: 2.53 (2.46) Acct: 4.25 (4.03) proj_loss: -0.5789 (-0.5778) time: 0.3609 data: 0.0003
[11-26 05:26:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [ 834/1669] eta: 0:05:17 tlr: 0.00017 tnm: 0.37 Lm: 6.973 (6.962) Lt: 6.257 (6.266) Accm: 2.30 (2.25) Acct: 3.68 (3.70) proj_loss: -0.5797 (-0.5762) time: 0.3609 data: 0.0003
[11-26 05:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.36 Lm: 6.948 (6.947) Lt: 6.232 (6.250) Accm: 2.30 (2.34) Acct: 3.74 (3.83) proj_loss: -0.5774 (-0.5759) time: 0.3613 data: 0.0003
[11-26 05:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.36 Lm: 6.907 (6.910) Lt: 6.257 (6.236) Accm: 2.44 (2.43) Acct: 3.92 (3.92) proj_loss: -0.5757 (-0.5764) time: 0.3613 data: 0.0003
[11-26 05:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.36 Lm: 6.900 (6.926) Lt: 6.220 (6.256) Accm: 2.26 (2.29) Acct: 3.57 (3.57) proj_loss: -0.5880 (-0.5842) time: 0.3613 data: 0.0003
[11-26 05:29:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.36 Lm: 6.901 (6.911) Lt: 6.183 (6.214) Accm: 2.36 (2.42) Acct: 3.78 (3.90) proj_loss: -0.5738 (-0.5736) time: 0.3613 data: 0.0003
[11-26 05:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.903 (6.910) Lt: 6.192 (6.212) Accm: 2.37 (2.43) Acct: 3.81 (3.96) proj_loss: -0.5769 (-0.5745) time: 0.3631 data: 0.0018
[11-26 05:31:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:10:19 (0.371 s / it)
[11-26 05:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.856 (6.895) Lt: 6.184 (6.215) Accm: 2.53 (2.48) Acct: 4.08 (3.95) proj_loss: -0.5724 (-0.5745) time: 0.3631 data: 0.0016
[11-26 05:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.973 (6.958) Lt: 6.257 (6.266) Accm: 2.30 (2.34) Acct: 3.68 (3.79) proj_loss: -0.5751 (-0.5751) time: 0.3631 data: 0.0020
[11-26 05:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 118/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.892 (6.910) Lt: 6.205 (6.230) Accm: 2.33 (2.37) Acct: 3.72 (3.71) proj_loss: -0.5880 (-0.5850) time: 0.3631 data: 0.0018
[11-26 05:31:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:10:19 (0.371 s / it)
[11-26 05:31:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:10:19 (0.371 s / it)
[11-26 05:31:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 118/350] Total time: 0:10:19 (0.371 s / it)
[11-26 05:31:54] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.901 (6.901), Lt: 6.215 (6.215), Acc m&t: 2.42 3.81, Remain: 1 day, 15:07:22, Finish: 2024-11-27 04:39
[11-26 05:31:54] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.901 (6.901), Lt: 6.215 (6.215), Acc m&t: 2.42 3.81, Remain: 1 day, 15:05:35, Finish: 2024-11-27 04:37
[11-26 05:31:54] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.901 (6.901), Lt: 6.215 (6.215), Acc m&t: 2.42 3.81, Remain: 1 day, 15:05:51, Finish: 2024-11-27 04:37
[11-26 05:31:54] (/home/user/VAR/train.py , line 276)=> [ep118] (training ) Lm: 6.901 (6.901), Lt: 6.215 (6.215), Acc m&t: 2.42 3.81, Remain: 1 day, 15:06:12, Finish: 2024-11-27 04:38
[11-26 05:31:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:09:30 tlr: 0.00017 tnm: 0.35 Lm: 6.981 (6.981) Lt: 6.246 (6.246) Accm: 2.24 (2.24) Acct: 3.79 (3.79) proj_loss: -0.5483 (-0.5483) time: 0.3415 data: 0.0003
[11-26 05:31:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:09:30 tlr: 0.00017 tnm: 0.35 Lm: 6.798 (6.798) Lt: 6.076 (6.076) Accm: 2.79 (2.79) Acct: 4.51 (4.51) proj_loss: -0.5837 (-0.5837) time: 0.3417 data: 0.0003
[11-26 05:31:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:09:31 tlr: 0.00017 tnm: 0.35 Lm: 6.850 (6.850) Lt: 6.124 (6.124) Accm: 2.40 (2.40) Acct: 3.63 (3.63) proj_loss: -0.5756 (-0.5756) time: 0.3422 data: 0.0004
[11-26 05:31:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 0/1669] eta: 0:09:32 tlr: 0.00017 tnm: 0.35 Lm: 6.786 (6.786) Lt: 6.015 (6.015) Accm: 2.79 (2.79) Acct: 4.67 (4.67) proj_loss: -0.5795 (-0.5795) time: 0.3433 data: 0.0004
[11-26 05:34:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.35 Lm: 6.771 (6.771) Lt: 6.044 (6.044) Accm: 2.71 (2.71) Acct: 4.30 (4.30) proj_loss: -0.5789 (-0.5789) time: 0.3598 data: 0.0003
[11-26 05:34:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.35 Lm: 6.969 (6.969) Lt: 6.272 (6.272) Accm: 2.44 (2.44) Acct: 3.81 (3.81) proj_loss: -0.5822 (-0.5822) time: 0.3598 data: 0.0003
[11-26 05:34:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.35 Lm: 6.923 (6.923) Lt: 6.225 (6.225) Accm: 2.37 (2.37) Acct: 3.63 (3.63) proj_loss: -0.5802 (-0.5802) time: 0.3598 data: 0.0003
[11-26 05:34:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.35 Lm: 6.867 (6.867) Lt: 6.136 (6.136) Accm: 2.58 (2.58) Acct: 4.25 (4.25) proj_loss: -0.5746 (-0.5746) time: 0.3598 data: 0.0003
[11-26 05:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.35 Lm: 6.820 (6.851) Lt: 6.126 (6.132) Accm: 2.72 (2.62) Acct: 4.20 (4.24) proj_loss: -0.5818 (-0.5770) time: 0.3595 data: 0.0002
[11-26 05:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.35 Lm: 6.894 (6.944) Lt: 6.220 (6.255) Accm: 2.44 (2.44) Acct: 3.72 (3.78) proj_loss: -0.5807 (-0.5788) time: 0.3595 data: 0.0003
[11-26 05:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.35 Lm: 6.856 (6.901) Lt: 6.157 (6.202) Accm: 2.40 (2.40) Acct: 3.63 (3.63) proj_loss: -0.5756 (-0.5759) time: 0.3595 data: 0.0003
[11-26 05:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.35 Lm: 6.786 (6.844) Lt: 6.074 (6.129) Accm: 2.62 (2.45) Acct: 3.93 (3.84) proj_loss: -0.5795 (-0.5805) time: 0.3595 data: 0.0003
[11-26 05:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.37 Lm: 6.888 (6.883) Lt: 6.186 (6.190) Accm: 2.33 (2.34) Acct: 3.45 (3.62) proj_loss: -0.5816 (-0.5819) time: 0.3606 data: 0.0003
[11-26 05:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.37 Lm: 6.974 (6.972) Lt: 6.298 (6.285) Accm: 2.31 (2.37) Acct: 3.50 (3.65) proj_loss: -0.5763 (-0.5740) time: 0.3606 data: 0.0002
[11-26 05:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.37 Lm: 6.923 (6.923) Lt: 6.235 (6.230) Accm: 2.37 (2.38) Acct: 3.62 (3.62) proj_loss: -0.5749 (-0.5755) time: 0.3606 data: 0.0003
[11-26 05:39:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.37 Lm: 6.875 (6.871) Lt: 6.185 (6.160) Accm: 2.59 (2.59) Acct: 4.14 (4.20) proj_loss: -0.5815 (-0.5780) time: 0.3606 data: 0.0002
[11-26 05:41:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.907 (6.878) Lt: 6.169 (6.162) Accm: 2.47 (2.56) Acct: 4.08 (4.11) proj_loss: -0.5818 (-0.5806) time: 0.3635 data: 0.0015
[11-26 05:41:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:10:02 (0.361 s / it)
[11-26 05:41:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.896 (6.956) Lt: 6.220 (6.269) Accm: 2.32 (2.36) Acct: 3.63 (3.65) proj_loss: -0.5807 (-0.5776) time: 0.3635 data: 0.0017
[11-26 05:41:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.890 (6.916) Lt: 6.175 (6.219) Accm: 2.40 (2.41) Acct: 3.63 (3.72) proj_loss: -0.5742 (-0.5737) time: 0.3635 data: 0.0018
[11-26 05:41:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 119/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.918 (6.890) Lt: 6.213 (6.195) Accm: 2.09 (2.29) Acct: 3.22 (3.54) proj_loss: -0.5795 (-0.5797) time: 0.3635 data: 0.0017
[11-26 05:41:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:10:02 (0.361 s / it)
[11-26 05:41:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:10:02 (0.361 s / it)
[11-26 05:41:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 119/350] Total time: 0:10:02 (0.361 s / it)
[11-26 05:44:05] (home/user/VAR/trainer.py, line 114)=> FID: 4.998469002487923
[11-26 05:44:05] (/home/user/VAR/train.py , line 259)=> [*] [ep119] (val 50000) Lm: 6.8888, Lt: 6.2004, Acc m&t: 2.43 3.82, Val cost: 128.46s
[11-26 05:44:05] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 05:44:20] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.889 (6.889), Lt: 6.200 (6.200), Acc m&t: 2.43 3.82, Remain: 1 day, 14:55:16, Finish: 2024-11-27 04:37
[11-26 05:44:20] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.889 (6.889), Lt: 6.200 (6.200), Acc m&t: 2.43 3.82, Remain: 1 day, 14:55:20, Finish: 2024-11-27 04:37
[11-26 05:44:20] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.889 (6.889), Lt: 6.200 (6.200), Acc m&t: 2.43 3.82, Remain: 1 day, 14:56:00, Finish: 2024-11-27 04:37
[11-26 05:44:20] (/home/user/VAR/train.py , line 276)=> [ep119] (training ) Lm: 6.889 (6.889), Lt: 6.200 (6.200), Acc m&t: 2.43 3.82, Remain: 1 day, 14:56:43, Finish: 2024-11-27 04:38
[11-26 05:44:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:10:26 tlr: 0.00017 tnm: 0.35 Lm: 6.958 (6.958) Lt: 6.252 (6.252) Accm: 2.45 (2.45) Acct: 3.82 (3.82) proj_loss: -0.5544 (-0.5544) time: 0.3751 data: 0.0004
[11-26 05:44:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:10:16 tlr: 0.00017 tnm: 0.35 Lm: 6.920 (6.920) Lt: 6.217 (6.217) Accm: 2.60 (2.60) Acct: 3.98 (3.98) proj_loss: -0.5770 (-0.5770) time: 0.3697 data: 0.0004
[11-26 05:44:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:10:26 tlr: 0.00017 tnm: 0.35 Lm: 6.917 (6.917) Lt: 6.282 (6.282) Accm: 2.16 (2.16) Acct: 3.44 (3.44) proj_loss: -0.5833 (-0.5833) time: 0.3754 data: 0.0004
[11-26 05:44:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 0/1669] eta: 0:10:27 tlr: 0.00017 tnm: 0.35 Lm: 6.819 (6.819) Lt: 6.172 (6.172) Accm: 2.53 (2.53) Acct: 3.51 (3.51) proj_loss: -0.5768 (-0.5768) time: 0.3760 data: 0.0004
[11-26 05:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 6.836 (6.836) Lt: 6.203 (6.203) Accm: 2.52 (2.52) Acct: 3.64 (3.64) proj_loss: -0.5862 (-0.5862) time: 0.3588 data: 0.0003
[11-26 05:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 6.946 (6.946) Lt: 6.254 (6.254) Accm: 2.44 (2.44) Acct: 3.72 (3.72) proj_loss: -0.5818 (-0.5818) time: 0.3587 data: 0.0002
[11-26 05:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 6.976 (6.976) Lt: 6.273 (6.273) Accm: 2.35 (2.35) Acct: 3.60 (3.60) proj_loss: -0.5735 (-0.5735) time: 0.3587 data: 0.0003
[11-26 05:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 6.947 (6.947) Lt: 6.265 (6.265) Accm: 2.23 (2.23) Acct: 3.61 (3.61) proj_loss: -0.5834 (-0.5834) time: 0.3588 data: 0.0003
[11-26 05:49:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.38 Lm: 6.917 (6.935) Lt: 6.249 (6.253) Accm: 2.28 (2.24) Acct: 3.44 (3.55) proj_loss: -0.5836 (-0.5851) time: 0.3608 data: 0.0003
[11-26 05:49:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.38 Lm: 6.853 (6.908) Lt: 6.233 (6.259) Accm: 2.52 (2.33) Acct: 3.51 (3.46) proj_loss: -0.5811 (-0.5845) time: 0.3608 data: 0.0002
[11-26 05:49:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.38 Lm: 6.958 (6.942) Lt: 6.252 (6.244) Accm: 2.45 (2.44) Acct: 3.82 (3.77) proj_loss: -0.5750 (-0.5740) time: 0.3608 data: 0.0003
[11-26 05:49:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.38 Lm: 6.971 (6.980) Lt: 6.292 (6.299) Accm: 2.29 (2.39) Acct: 3.46 (3.63) proj_loss: -0.5866 (-0.5870) time: 0.3608 data: 0.0002
[11-26 05:52:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.35 Lm: 6.961 (6.973) Lt: 6.264 (6.283) Accm: 2.28 (2.34) Acct: 3.47 (3.59) proj_loss: -0.5818 (-0.5818) time: 0.3954 data: 0.0003
[11-26 05:52:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.35 Lm: 6.914 (6.905) Lt: 6.239 (6.207) Accm: 2.28 (2.33) Acct: 3.61 (3.65) proj_loss: -0.5834 (-0.5820) time: 0.3954 data: 0.0003
[11-26 05:52:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.35 Lm: 6.976 (6.963) Lt: 6.273 (6.262) Accm: 2.35 (2.35) Acct: 3.60 (3.65) proj_loss: -0.5802 (-0.5769) time: 0.3954 data: 0.0003
[11-26 05:52:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.35 Lm: 6.888 (6.911) Lt: 6.238 (6.255) Accm: 2.49 (2.36) Acct: 3.60 (3.52) proj_loss: -0.5793 (-0.5827) time: 0.3954 data: 0.0003
[11-26 05:54:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.923 (6.916) Lt: 6.244 (6.258) Accm: 2.49 (2.39) Acct: 3.68 (3.59) proj_loss: -0.5774 (-0.5801) time: 0.4480 data: 0.0019
[11-26 05:54:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:10:26 (0.375 s / it)
[11-26 05:54:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.951 (6.944) Lt: 6.236 (6.247) Accm: 2.29 (2.40) Acct: 3.48 (3.73) proj_loss: -0.5843 (-0.5823) time: 0.4480 data: 0.0018
[11-26 05:54:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.958 (6.946) Lt: 6.252 (6.238) Accm: 2.45 (2.39) Acct: 3.82 (3.73) proj_loss: -0.5750 (-0.5744) time: 0.4480 data: 0.0016
[11-26 05:54:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 120/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.911 (6.880) Lt: 6.228 (6.172) Accm: 2.29 (2.39) Acct: 3.77 (3.78) proj_loss: -0.5833 (-0.5789) time: 0.4480 data: 0.0017
[11-26 05:54:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:10:26 (0.375 s / it)
[11-26 05:54:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:10:26 (0.375 s / it)
[11-26 05:54:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 120/350] Total time: 0:10:26 (0.375 s / it)
[11-26 05:54:46] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.889 (6.893), Lt: 6.200 (6.202), Acc m&t: 2.43 3.82, Remain: 1 day, 14:51:37, Finish: 2024-11-27 04:46
[11-26 05:54:46] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.889 (6.893), Lt: 6.200 (6.202), Acc m&t: 2.43 3.82, Remain: 1 day, 14:50:03, Finish: 2024-11-27 04:44
[11-26 05:54:46] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.889 (6.893), Lt: 6.200 (6.202), Acc m&t: 2.43 3.82, Remain: 1 day, 14:52:23, Finish: 2024-11-27 04:47
[11-26 05:54:46] (/home/user/VAR/train.py , line 276)=> [ep120] (training ) Lm: 6.889 (6.893), Lt: 6.200 (6.202), Acc m&t: 2.43 3.82, Remain: 1 day, 14:50:46, Finish: 2024-11-27 04:45
[11-26 05:54:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:09:35 tlr: 0.00017 tnm: 0.37 Lm: 6.975 (6.975) Lt: 6.338 (6.338) Accm: 1.93 (1.93) Acct: 3.20 (3.20) proj_loss: -0.5862 (-0.5862) time: 0.3450 data: 0.0004
[11-26 05:54:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:10:02 tlr: 0.00017 tnm: 0.37 Lm: 6.825 (6.825) Lt: 6.138 (6.138) Accm: 2.67 (2.67) Acct: 4.24 (4.24) proj_loss: -0.5844 (-0.5844) time: 0.3607 data: 0.0003
[11-26 05:54:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:09:28 tlr: 0.00017 tnm: 0.37 Lm: 6.738 (6.738) Lt: 6.050 (6.050) Accm: 2.86 (2.86) Acct: 4.37 (4.37) proj_loss: -0.5910 (-0.5910) time: 0.3406 data: 0.0004
[11-26 05:54:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 0/1669] eta: 0:09:37 tlr: 0.00017 tnm: 0.37 Lm: 6.824 (6.824) Lt: 6.139 (6.139) Accm: 2.58 (2.58) Acct: 4.22 (4.22) proj_loss: -0.5866 (-0.5866) time: 0.3462 data: 0.0004
[11-26 05:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:07:51 tlr: 0.00017 tnm: 0.38 Lm: 6.859 (6.859) Lt: 6.178 (6.178) Accm: 2.43 (2.43) Acct: 4.02 (4.02) proj_loss: -0.5871 (-0.5871) time: 0.3587 data: 0.0003
[11-26 05:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:07:51 tlr: 0.00017 tnm: 0.38 Lm: 6.832 (6.832) Lt: 6.150 (6.150) Accm: 2.54 (2.54) Acct: 3.90 (3.90) proj_loss: -0.5762 (-0.5762) time: 0.3587 data: 0.0003
[11-26 05:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:07:51 tlr: 0.00017 tnm: 0.38 Lm: 6.918 (6.918) Lt: 6.254 (6.254) Accm: 2.25 (2.25) Acct: 3.50 (3.50) proj_loss: -0.5808 (-0.5808) time: 0.3587 data: 0.0003
[11-26 05:57:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 417/1669] eta: 0:07:51 tlr: 0.00017 tnm: 0.38 Lm: 6.874 (6.874) Lt: 6.204 (6.204) Accm: 2.52 (2.52) Acct: 3.84 (3.84) proj_loss: -0.5837 (-0.5837) time: 0.3587 data: 0.0003
[11-26 05:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:05:07 tlr: 0.00017 tnm: 0.36 Lm: 6.800 (6.849) Lt: 6.110 (6.173) Accm: 2.84 (2.63) Acct: 4.37 (4.03) proj_loss: -0.5765 (-0.5770) time: 0.3600 data: 0.0003
[11-26 05:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:05:07 tlr: 0.00017 tnm: 0.36 Lm: 6.894 (6.931) Lt: 6.217 (6.248) Accm: 2.29 (2.29) Acct: 3.82 (3.76) proj_loss: -0.5866 (-0.5783) time: 0.3600 data: 0.0003
[11-26 05:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:05:07 tlr: 0.00017 tnm: 0.36 Lm: 6.860 (6.886) Lt: 6.170 (6.199) Accm: 2.58 (2.41) Acct: 3.79 (3.80) proj_loss: -0.5862 (-0.5846) time: 0.3600 data: 0.0003
[11-26 05:59:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [ 834/1669] eta: 0:05:07 tlr: 0.00017 tnm: 0.36 Lm: 6.839 (6.879) Lt: 6.161 (6.201) Accm: 2.41 (2.41) Acct: 3.56 (3.73) proj_loss: -0.5844 (-0.5791) time: 0.3600 data: 0.0003
[11-26 06:02:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.38 Lm: 6.851 (6.875) Lt: 6.161 (6.191) Accm: 2.42 (2.42) Acct: 3.58 (3.70) proj_loss: -0.5798 (-0.5782) time: 0.3630 data: 0.0003
[11-26 06:02:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.38 Lm: 6.898 (6.924) Lt: 6.226 (6.245) Accm: 2.29 (2.29) Acct: 3.77 (3.75) proj_loss: -0.5838 (-0.5790) time: 0.3630 data: 0.0003
[11-26 06:02:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.38 Lm: 6.896 (6.885) Lt: 6.234 (6.225) Accm: 2.51 (2.50) Acct: 3.84 (3.80) proj_loss: -0.5831 (-0.5802) time: 0.3630 data: 0.0003
[11-26 06:02:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1251/1669] eta: 0:02:33 tlr: 0.00017 tnm: 0.38 Lm: 6.901 (6.900) Lt: 6.232 (6.223) Accm: 2.38 (2.35) Acct: 3.50 (3.65) proj_loss: -0.5853 (-0.5846) time: 0.3630 data: 0.0003
[11-26 06:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.860 (6.888) Lt: 6.172 (6.213) Accm: 2.45 (2.37) Acct: 3.79 (3.70) proj_loss: -0.5844 (-0.5818) time: 0.3653 data: 0.0013
[11-26 06:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:10:09 (0.365 s / it)
[11-26 06:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.902 (6.921) Lt: 6.217 (6.235) Accm: 2.29 (2.37) Acct: 3.82 (3.83) proj_loss: -0.5810 (-0.5787) time: 0.3653 data: 0.0017
[11-26 06:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.910 (6.890) Lt: 6.181 (6.216) Accm: 2.57 (2.51) Acct: 4.34 (3.91) proj_loss: -0.5765 (-0.5787) time: 0.3653 data: 0.0020
[11-26 06:04:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 121/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.863 (6.896) Lt: 6.161 (6.210) Accm: 2.41 (2.39) Acct: 3.60 (3.74) proj_loss: -0.5753 (-0.5776) time: 0.3653 data: 0.0016
[11-26 06:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:10:09 (0.365 s / it)
[11-26 06:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:10:09 (0.365 s / it)
[11-26 06:04:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 121/350] Total time: 0:10:09 (0.365 s / it)
[11-26 06:04:55] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.889 (6.900), Lt: 6.200 (6.208), Acc m&t: 2.43 3.82, Remain: 1 day, 14:53:56, Finish: 2024-11-27 04:58
[11-26 06:04:55] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.889 (6.900), Lt: 6.200 (6.208), Acc m&t: 2.43 3.82, Remain: 1 day, 14:53:24, Finish: 2024-11-27 04:58
[11-26 06:04:55] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.889 (6.900), Lt: 6.200 (6.208), Acc m&t: 2.43 3.82, Remain: 1 day, 14:53:11, Finish: 2024-11-27 04:58
[11-26 06:04:55] (/home/user/VAR/train.py , line 276)=> [ep121] (training ) Lm: 6.889 (6.900), Lt: 6.200 (6.208), Acc m&t: 2.43 3.82, Remain: 1 day, 14:51:10, Finish: 2024-11-27 04:56
[11-26 06:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:09:56 tlr: 0.00017 tnm: 0.37 Lm: 7.048 (7.048) Lt: 6.437 (6.437) Accm: 2.08 (2.08) Acct: 3.12 (3.12) proj_loss: -0.5846 (-0.5846) time: 0.3577 data: 0.0003
[11-26 06:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:09:55 tlr: 0.00017 tnm: 0.37 Lm: 6.722 (6.722) Lt: 6.024 (6.024) Accm: 3.03 (3.03) Acct: 4.63 (4.63) proj_loss: -0.5715 (-0.5715) time: 0.3568 data: 0.0004
[11-26 06:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:09:57 tlr: 0.00017 tnm: 0.37 Lm: 6.901 (6.901) Lt: 6.230 (6.230) Accm: 2.27 (2.27) Acct: 3.43 (3.43) proj_loss: -0.5894 (-0.5894) time: 0.3583 data: 0.0003
[11-26 06:04:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 0/1669] eta: 0:09:56 tlr: 0.00017 tnm: 0.37 Lm: 7.019 (7.019) Lt: 6.394 (6.394) Accm: 2.21 (2.21) Acct: 3.67 (3.67) proj_loss: -0.5838 (-0.5838) time: 0.3575 data: 0.0004
[11-26 06:07:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.37 Lm: 6.952 (6.952) Lt: 6.310 (6.310) Accm: 2.37 (2.37) Acct: 3.64 (3.64) proj_loss: -0.5810 (-0.5810) time: 0.3622 data: 0.0003
[11-26 06:07:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.37 Lm: 6.957 (6.957) Lt: 6.309 (6.309) Accm: 2.36 (2.36) Acct: 3.58 (3.58) proj_loss: -0.5834 (-0.5834) time: 0.3622 data: 0.0003
[11-26 06:07:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.37 Lm: 6.900 (6.900) Lt: 6.232 (6.232) Accm: 2.32 (2.32) Acct: 3.56 (3.56) proj_loss: -0.5845 (-0.5845) time: 0.3622 data: 0.0003
[11-26 06:07:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.37 Lm: 6.901 (6.901) Lt: 6.210 (6.210) Accm: 2.57 (2.57) Acct: 3.90 (3.90) proj_loss: -0.5679 (-0.5679) time: 0.3622 data: 0.0003
[11-26 06:09:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.929 (6.911) Lt: 6.247 (6.222) Accm: 2.16 (2.44) Acct: 3.55 (3.78) proj_loss: -0.5715 (-0.5721) time: 0.3617 data: 0.0003
[11-26 06:09:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.901 (6.906) Lt: 6.230 (6.228) Accm: 2.27 (2.26) Acct: 3.43 (3.48) proj_loss: -0.5795 (-0.5804) time: 0.3617 data: 0.0003
[11-26 06:09:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 7.006 (6.974) Lt: 6.349 (6.322) Accm: 2.08 (2.26) Acct: 3.19 (3.45) proj_loss: -0.5846 (-0.5846) time: 0.3617 data: 0.0003
[11-26 06:09:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.36 Lm: 6.968 (6.958) Lt: 6.290 (6.303) Accm: 2.36 (2.37) Acct: 3.62 (3.54) proj_loss: -0.5783 (-0.5757) time: 0.3617 data: 0.0003
[11-26 06:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.39 Lm: 6.927 (6.925) Lt: 6.258 (6.264) Accm: 2.45 (2.45) Acct: 3.64 (3.71) proj_loss: -0.5748 (-0.5745) time: 0.3619 data: 0.0003
[11-26 06:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.39 Lm: 6.937 (6.945) Lt: 6.265 (6.278) Accm: 2.26 (2.31) Acct: 3.50 (3.54) proj_loss: -0.5834 (-0.5809) time: 0.3619 data: 0.0003
[11-26 06:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.39 Lm: 6.910 (6.928) Lt: 6.232 (6.251) Accm: 2.20 (2.21) Acct: 3.37 (3.40) proj_loss: -0.5836 (-0.5822) time: 0.3619 data: 0.0003
[11-26 06:12:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.39 Lm: 6.917 (6.909) Lt: 6.217 (6.213) Accm: 2.29 (2.43) Acct: 3.57 (3.74) proj_loss: -0.5705 (-0.5714) time: 0.3619 data: 0.0003
[11-26 06:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.929 (6.916) Lt: 6.247 (6.229) Accm: 2.43 (2.45) Acct: 3.60 (3.79) proj_loss: -0.5715 (-0.5739) time: 0.3620 data: 0.0019
[11-26 06:14:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:10:02 (0.361 s / it)
[11-26 06:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.986 (6.953) Lt: 6.328 (6.288) Accm: 2.08 (2.25) Acct: 3.19 (3.41) proj_loss: -0.5822 (-0.5799) time: 0.3620 data: 0.0020
[11-26 06:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.886 (6.901) Lt: 6.225 (6.229) Accm: 2.53 (2.48) Acct: 3.67 (3.79) proj_loss: -0.5783 (-0.5754) time: 0.3620 data: 0.0014
[11-26 06:14:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 122/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.35 Lm: 6.919 (6.962) Lt: 6.233 (6.289) Accm: 2.13 (2.16) Acct: 3.32 (3.35) proj_loss: -0.5831 (-0.5824) time: 0.3620 data: 0.0022
[11-26 06:14:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:10:02 (0.361 s / it)
[11-26 06:14:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:10:02 (0.361 s / it)
[11-26 06:14:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 122/350] Total time: 0:10:02 (0.361 s / it)
[11-26 06:14:58] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.889 (6.912), Lt: 6.200 (6.224), Acc m&t: 2.43 3.82, Remain: 1 day, 14:09:01, Finish: 2024-11-27 04:23
[11-26 06:14:58] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.889 (6.912), Lt: 6.200 (6.224), Acc m&t: 2.43 3.82, Remain: 1 day, 14:09:47, Finish: 2024-11-27 04:24
[11-26 06:14:58] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.889 (6.912), Lt: 6.200 (6.224), Acc m&t: 2.43 3.82, Remain: 1 day, 14:09:20, Finish: 2024-11-27 04:24
[11-26 06:14:58] (/home/user/VAR/train.py , line 276)=> [ep122] (training ) Lm: 6.889 (6.912), Lt: 6.200 (6.224), Acc m&t: 2.43 3.82, Remain: 1 day, 14:09:15, Finish: 2024-11-27 04:24
[11-26 06:14:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:09:46 tlr: 0.00017 tnm: 0.37 Lm: 6.918 (6.918) Lt: 6.199 (6.199) Accm: 2.29 (2.29) Acct: 3.56 (3.56) proj_loss: -0.5674 (-0.5674) time: 0.3514 data: 0.0004
[11-26 06:14:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:09:47 tlr: 0.00017 tnm: 0.37 Lm: 6.851 (6.851) Lt: 6.175 (6.175) Accm: 2.37 (2.37) Acct: 4.03 (4.03) proj_loss: -0.5835 (-0.5835) time: 0.3518 data: 0.0004
[11-26 06:14:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:09:47 tlr: 0.00017 tnm: 0.37 Lm: 6.761 (6.761) Lt: 6.048 (6.048) Accm: 2.88 (2.88) Acct: 4.61 (4.61) proj_loss: -0.5863 (-0.5863) time: 0.3521 data: 0.0003
[11-26 06:14:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 0/1669] eta: 0:09:46 tlr: 0.00017 tnm: 0.37 Lm: 6.928 (6.928) Lt: 6.265 (6.265) Accm: 2.40 (2.40) Acct: 3.89 (3.89) proj_loss: -0.5928 (-0.5928) time: 0.3511 data: 0.0004
[11-26 06:17:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.35 Lm: 6.877 (6.877) Lt: 6.204 (6.204) Accm: 2.43 (2.43) Acct: 3.89 (3.89) proj_loss: -0.5909 (-0.5909) time: 0.3614 data: 0.0002
[11-26 06:17:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.35 Lm: 6.759 (6.759) Lt: 6.045 (6.045) Accm: 2.74 (2.74) Acct: 4.17 (4.17) proj_loss: -0.5694 (-0.5694) time: 0.3614 data: 0.0002
[11-26 06:17:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.35 Lm: 6.809 (6.809) Lt: 6.092 (6.092) Accm: 2.69 (2.69) Acct: 4.30 (4.30) proj_loss: -0.5734 (-0.5734) time: 0.3615 data: 0.0002
[11-26 06:17:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.35 Lm: 6.953 (6.953) Lt: 6.272 (6.272) Accm: 2.19 (2.19) Acct: 3.59 (3.59) proj_loss: -0.5728 (-0.5728) time: 0.3614 data: 0.0003
[11-26 06:20:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:05:05 tlr: 0.00017 tnm: 0.35 Lm: 6.855 (6.921) Lt: 6.175 (6.222) Accm: 2.37 (2.32) Acct: 4.03 (3.84) proj_loss: -0.5719 (-0.5725) time: 0.4444 data: 0.0003
[11-26 06:20:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:05:05 tlr: 0.00017 tnm: 0.35 Lm: 6.918 (6.843) Lt: 6.199 (6.148) Accm: 2.29 (2.55) Acct: 3.56 (3.96) proj_loss: -0.5713 (-0.5707) time: 0.4444 data: 0.0003
[11-26 06:20:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:05:05 tlr: 0.00017 tnm: 0.35 Lm: 6.858 (6.874) Lt: 6.135 (6.176) Accm: 2.51 (2.48) Acct: 3.99 (3.91) proj_loss: -0.5820 (-0.5763) time: 0.4444 data: 0.0003
[11-26 06:20:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [ 834/1669] eta: 0:05:05 tlr: 0.00017 tnm: 0.35 Lm: 6.905 (6.886) Lt: 6.180 (6.196) Accm: 2.46 (2.45) Acct: 3.89 (3.87) proj_loss: -0.5890 (-0.5831) time: 0.4444 data: 0.0003
[11-26 06:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.37 Lm: 6.916 (6.933) Lt: 6.223 (6.243) Accm: 2.43 (2.37) Acct: 3.87 (3.81) proj_loss: -0.5782 (-0.5747) time: 0.4047 data: 0.0003
[11-26 06:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.37 Lm: 6.944 (6.875) Lt: 6.258 (6.190) Accm: 2.31 (2.50) Acct: 3.67 (3.91) proj_loss: -0.5724 (-0.5729) time: 0.4047 data: 0.0002
[11-26 06:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.37 Lm: 6.925 (6.903) Lt: 6.240 (6.222) Accm: 2.45 (2.45) Acct: 3.82 (3.85) proj_loss: -0.5841 (-0.5788) time: 0.4047 data: 0.0003
[11-26 06:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1251/1669] eta: 0:02:36 tlr: 0.00017 tnm: 0.37 Lm: 6.943 (6.948) Lt: 6.272 (6.260) Accm: 2.19 (2.22) Acct: 3.59 (3.62) proj_loss: -0.5758 (-0.5743) time: 0.4047 data: 0.0003
[11-26 06:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.918 (6.879) Lt: 6.208 (6.194) Accm: 2.33 (2.47) Acct: 3.65 (3.86) proj_loss: -0.5734 (-0.5753) time: 0.3654 data: 0.0017
[11-26 06:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.897 (6.902) Lt: 6.202 (6.218) Accm: 2.39 (2.43) Acct: 3.65 (3.79) proj_loss: -0.5820 (-0.5769) time: 0.3654 data: 0.0015
[11-26 06:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.910 (6.928) Lt: 6.249 (6.244) Accm: 2.40 (2.37) Acct: 3.84 (3.75) proj_loss: -0.5788 (-0.5756) time: 0.3654 data: 0.0014
[11-26 06:25:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 123/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.38 Lm: 6.855 (6.912) Lt: 6.175 (6.218) Accm: 2.37 (2.34) Acct: 4.03 (3.77) proj_loss: -0.5727 (-0.5740) time: 0.3655 data: 0.0017
[11-26 06:25:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:10:32 (0.379 s / it)
[11-26 06:25:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:10:32 (0.379 s / it)
[11-26 06:25:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:10:32 (0.379 s / it)
[11-26 06:25:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 123/350] Total time: 0:10:32 (0.379 s / it)
[11-26 06:25:30] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.889 (6.908), Lt: 6.200 (6.224), Acc m&t: 2.43 3.82, Remain: 1 day, 14:24:03, Finish: 2024-11-27 04:49
[11-26 06:25:30] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.889 (6.908), Lt: 6.200 (6.224), Acc m&t: 2.43 3.82, Remain: 1 day, 14:26:14, Finish: 2024-11-27 04:51
[11-26 06:25:30] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.889 (6.908), Lt: 6.200 (6.224), Acc m&t: 2.43 3.82, Remain: 1 day, 14:26:03, Finish: 2024-11-27 04:51
[11-26 06:25:30] (/home/user/VAR/train.py , line 276)=> [ep123] (training ) Lm: 6.889 (6.908), Lt: 6.200 (6.224), Acc m&t: 2.43 3.82, Remain: 1 day, 14:26:15, Finish: 2024-11-27 04:51
[11-26 06:25:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:10:09 tlr: 0.00017 tnm: 0.37 Lm: 6.781 (6.781) Lt: 6.123 (6.123) Accm: 2.64 (2.64) Acct: 4.12 (4.12) proj_loss: -0.6008 (-0.6008) time: 0.3651 data: 0.0004
[11-26 06:25:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:10:09 tlr: 0.00017 tnm: 0.37 Lm: 6.818 (6.818) Lt: 6.072 (6.072) Accm: 2.85 (2.85) Acct: 4.60 (4.60) proj_loss: -0.5946 (-0.5946) time: 0.3651 data: 0.0003
[11-26 06:25:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:10:09 tlr: 0.00017 tnm: 0.37 Lm: 7.040 (7.040) Lt: 6.383 (6.383) Accm: 1.97 (1.97) Acct: 2.94 (2.94) proj_loss: -0.5955 (-0.5955) time: 0.3653 data: 0.0004
[11-26 06:25:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 0/1669] eta: 0:10:23 tlr: 0.00017 tnm: 0.37 Lm: 6.954 (6.954) Lt: 6.269 (6.269) Accm: 2.24 (2.24) Acct: 3.56 (3.56) proj_loss: -0.5849 (-0.5849) time: 0.3738 data: 0.0004
[11-26 06:28:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:07:39 tlr: 0.00017 tnm: 0.36 Lm: 6.941 (6.941) Lt: 6.257 (6.257) Accm: 2.37 (2.37) Acct: 3.79 (3.79) proj_loss: -0.5872 (-0.5872) time: 0.3618 data: 0.0003
[11-26 06:28:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:07:39 tlr: 0.00017 tnm: 0.36 Lm: 6.876 (6.876) Lt: 6.219 (6.219) Accm: 2.47 (2.47) Acct: 3.87 (3.87) proj_loss: -0.5847 (-0.5847) time: 0.3618 data: 0.0003
[11-26 06:28:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:07:39 tlr: 0.00017 tnm: 0.36 Lm: 6.826 (6.826) Lt: 6.110 (6.110) Accm: 2.68 (2.68) Acct: 4.19 (4.19) proj_loss: -0.5899 (-0.5899) time: 0.3618 data: 0.0003
[11-26 06:28:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 417/1669] eta: 0:07:39 tlr: 0.00017 tnm: 0.36 Lm: 6.984 (6.984) Lt: 6.315 (6.315) Accm: 2.14 (2.14) Acct: 3.21 (3.21) proj_loss: -0.5868 (-0.5868) time: 0.3618 data: 0.0003
[11-26 06:30:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.35 Lm: 6.835 (6.884) Lt: 6.149 (6.190) Accm: 2.51 (2.48) Acct: 3.79 (3.84) proj_loss: -0.5853 (-0.5861) time: 0.3625 data: 0.0003
[11-26 06:30:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.35 Lm: 6.927 (6.896) Lt: 6.245 (6.213) Accm: 2.51 (2.44) Acct: 4.01 (3.93) proj_loss: -0.5849 (-0.5806) time: 0.3625 data: 0.0003
[11-26 06:30:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.35 Lm: 6.891 (6.881) Lt: 6.150 (6.196) Accm: 2.56 (2.50) Acct: 3.94 (3.89) proj_loss: -0.5764 (-0.5819) time: 0.3625 data: 0.0003
[11-26 06:30:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [ 834/1669] eta: 0:05:03 tlr: 0.00017 tnm: 0.35 Lm: 7.012 (6.993) Lt: 6.361 (6.330) Accm: 2.07 (2.12) Acct: 3.27 (3.23) proj_loss: -0.5780 (-0.5829) time: 0.3625 data: 0.0003
[11-26 06:33:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.36 Lm: 6.970 (6.955) Lt: 6.304 (6.282) Accm: 2.19 (2.23) Acct: 3.37 (3.46) proj_loss: -0.5767 (-0.5810) time: 0.3607 data: 0.0003
[11-26 06:33:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.36 Lm: 6.881 (6.895) Lt: 6.175 (6.193) Accm: 2.45 (2.45) Acct: 3.84 (3.85) proj_loss: -0.5818 (-0.5818) time: 0.3607 data: 0.0003
[11-26 06:33:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.36 Lm: 6.879 (6.877) Lt: 6.143 (6.181) Accm: 2.49 (2.48) Acct: 3.79 (3.83) proj_loss: -0.5843 (-0.5845) time: 0.3607 data: 0.0003
[11-26 06:33:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1251/1669] eta: 0:02:31 tlr: 0.00017 tnm: 0.36 Lm: 6.937 (6.908) Lt: 6.257 (6.245) Accm: 2.37 (2.39) Acct: 3.79 (3.77) proj_loss: -0.5872 (-0.5853) time: 0.3607 data: 0.0003
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.946 (6.929) Lt: 6.269 (6.256) Accm: 2.51 (2.41) Acct: 4.01 (3.82) proj_loss: -0.5849 (-0.5848) time: 0.3641 data: 0.0016
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:10:05 (0.363 s / it)
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.861 (6.888) Lt: 6.149 (6.172) Accm: 2.39 (2.44) Acct: 3.79 (3.84) proj_loss: -0.5783 (-0.5800) time: 0.3641 data: 0.0017
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.891 (6.890) Lt: 6.150 (6.201) Accm: 2.43 (2.44) Acct: 3.63 (3.77) proj_loss: -0.5898 (-0.5856) time: 0.3641 data: 0.0017
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 124/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.37 Lm: 6.928 (6.945) Lt: 6.247 (6.263) Accm: 2.30 (2.25) Acct: 3.48 (3.51) proj_loss: -0.5754 (-0.5792) time: 0.3641 data: 0.0015
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:10:05 (0.363 s / it)
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:10:05 (0.363 s / it)
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 124/350] Total time: 0:10:05 (0.363 s / it)
[11-26 06:35:36] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.889 (6.902), Lt: 6.200 (6.213), Acc m&t: 2.43 3.82, Remain: 1 day, 14:05:13, Finish: 2024-11-27 04:40
[11-26 06:35:36] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.889 (6.902), Lt: 6.200 (6.213), Acc m&t: 2.43 3.82, Remain: 1 day, 14:04:19, Finish: 2024-11-27 04:39
[11-26 06:35:36] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.889 (6.902), Lt: 6.200 (6.213), Acc m&t: 2.43 3.82, Remain: 1 day, 14:03:56, Finish: 2024-11-27 04:39
[11-26 06:35:36] (/home/user/VAR/train.py , line 276)=> [ep124] (training ) Lm: 6.889 (6.902), Lt: 6.200 (6.213), Acc m&t: 2.43 3.82, Remain: 1 day, 14:05:18, Finish: 2024-11-27 04:40
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:10:47 tlr: 0.00017 tnm: 0.36 Lm: 6.782 (6.782) Lt: 6.035 (6.035) Accm: 3.04 (3.04) Acct: 4.96 (4.96) proj_loss: -0.5968 (-0.5968) time: 0.3879 data: 0.0003
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:09:28 tlr: 0.00017 tnm: 0.36 Lm: 6.969 (6.969) Lt: 6.330 (6.330) Accm: 2.09 (2.09) Acct: 3.03 (3.03) proj_loss: -0.6002 (-0.6002) time: 0.3407 data: 0.0003
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:10:44 tlr: 0.00017 tnm: 0.36 Lm: 6.962 (6.962) Lt: 6.233 (6.233) Accm: 2.29 (2.29) Acct: 3.55 (3.55) proj_loss: -0.5608 (-0.5608) time: 0.3863 data: 0.0003
[11-26 06:35:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 0/1669] eta: 0:10:59 tlr: 0.00017 tnm: 0.36 Lm: 6.994 (6.994) Lt: 6.272 (6.272) Accm: 2.22 (2.22) Acct: 3.62 (3.62) proj_loss: -0.5790 (-0.5790) time: 0.3954 data: 0.0003
[11-26 06:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.988 (6.988) Lt: 6.293 (6.293) Accm: 2.19 (2.19) Acct: 3.65 (3.65) proj_loss: -0.5856 (-0.5856) time: 0.3600 data: 0.0002
[11-26 06:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:07:31 tlr: 0.00017 tnm: 0.36 Lm: 6.994 (6.994) Lt: 6.313 (6.313) Accm: 2.15 (2.15) Acct: 3.34 (3.34) proj_loss: -0.5816 (-0.5816) time: 0.3601 data: 0.0003
[11-26 06:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.870 (6.870) Lt: 6.148 (6.148) Accm: 2.49 (2.49) Acct: 3.95 (3.95) proj_loss: -0.5648 (-0.5648) time: 0.3600 data: 0.0003
[11-26 06:38:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.796 (6.796) Lt: 6.083 (6.083) Accm: 2.89 (2.89) Acct: 4.51 (4.51) proj_loss: -0.5907 (-0.5907) time: 0.3601 data: 0.0003
[11-26 06:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.37 Lm: 6.811 (6.818) Lt: 6.131 (6.117) Accm: 2.74 (2.76) Acct: 4.06 (4.29) proj_loss: -0.5847 (-0.5812) time: 0.3627 data: 0.0003
[11-26 06:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.37 Lm: 6.969 (6.966) Lt: 6.297 (6.270) Accm: 2.21 (2.33) Acct: 3.65 (3.75) proj_loss: -0.5800 (-0.5811) time: 0.3627 data: 0.0003
[11-26 06:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.37 Lm: 6.981 (6.877) Lt: 6.272 (6.169) Accm: 2.22 (2.48) Acct: 3.68 (3.98) proj_loss: -0.5847 (-0.5853) time: 0.3627 data: 0.0003
[11-26 06:40:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [ 834/1669] eta: 0:05:01 tlr: 0.00017 tnm: 0.37 Lm: 6.867 (6.869) Lt: 6.172 (6.156) Accm: 2.40 (2.46) Acct: 3.86 (3.92) proj_loss: -0.5689 (-0.5699) time: 0.3627 data: 0.0003
[11-26 06:43:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.36 Lm: 6.915 (6.898) Lt: 6.203 (6.194) Accm: 2.35 (2.39) Acct: 3.70 (3.75) proj_loss: -0.5738 (-0.5722) time: 0.3607 data: 0.0003
[11-26 06:43:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.36 Lm: 6.939 (6.934) Lt: 6.240 (6.230) Accm: 2.25 (2.32) Acct: 3.67 (3.74) proj_loss: -0.5767 (-0.5791) time: 0.3607 data: 0.0003
[11-26 06:43:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.36 Lm: 6.983 (6.904) Lt: 6.274 (6.196) Accm: 2.19 (2.39) Acct: 3.65 (3.80) proj_loss: -0.5818 (-0.5818) time: 0.3607 data: 0.0002
[11-26 06:43:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1251/1669] eta: 0:02:30 tlr: 0.00017 tnm: 0.36 Lm: 6.836 (6.882) Lt: 6.158 (6.208) Accm: 2.62 (2.55) Acct: 3.96 (3.91) proj_loss: -0.5834 (-0.5814) time: 0.3607 data: 0.0003
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.862 (6.885) Lt: 6.185 (6.208) Accm: 2.51 (2.49) Acct: 3.86 (3.83) proj_loss: -0.5847 (-0.5839) time: 0.3607 data: 0.0018
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:10:02 (0.361 s / it)
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.910 (6.920) Lt: 6.184 (6.214) Accm: 2.29 (2.38) Acct: 3.68 (3.79) proj_loss: -0.5800 (-0.5830) time: 0.3606 data: 0.0020
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.867 (6.891) Lt: 6.172 (6.180) Accm: 2.40 (2.43) Acct: 3.86 (3.85) proj_loss: -0.5788 (-0.5738) time: 0.3607 data: 0.0016
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 125/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.981 (6.898) Lt: 6.272 (6.197) Accm: 2.22 (2.43) Acct: 3.68 (3.79) proj_loss: -0.5820 (-0.5818) time: 0.3606 data: 0.0013
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:10:02 (0.361 s / it)
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:10:02 (0.361 s / it)
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 125/350] Total time: 0:10:02 (0.361 s / it)
[11-26 06:45:39] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.889 (6.906), Lt: 6.200 (6.217), Acc m&t: 2.43 3.82, Remain: 1 day, 13:40:31, Finish: 2024-11-27 04:26
[11-26 06:45:39] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.889 (6.906), Lt: 6.200 (6.217), Acc m&t: 2.43 3.82, Remain: 1 day, 13:39:18, Finish: 2024-11-27 04:24
[11-26 06:45:39] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.889 (6.906), Lt: 6.200 (6.217), Acc m&t: 2.43 3.82, Remain: 1 day, 13:41:10, Finish: 2024-11-27 04:26
[11-26 06:45:39] (/home/user/VAR/train.py , line 276)=> [ep125] (training ) Lm: 6.889 (6.906), Lt: 6.200 (6.217), Acc m&t: 2.43 3.82, Remain: 1 day, 13:40:07, Finish: 2024-11-27 04:25
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:09:51 tlr: 0.00017 tnm: 0.37 Lm: 6.986 (6.986) Lt: 6.357 (6.357) Accm: 2.19 (2.19) Acct: 3.20 (3.20) proj_loss: -0.5806 (-0.5806) time: 0.3543 data: 0.0004
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:09:50 tlr: 0.00017 tnm: 0.37 Lm: 6.941 (6.941) Lt: 6.292 (6.292) Accm: 2.32 (2.32) Acct: 3.46 (3.46) proj_loss: -0.5885 (-0.5885) time: 0.3539 data: 0.0003
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:09:51 tlr: 0.00017 tnm: 0.37 Lm: 6.957 (6.957) Lt: 6.261 (6.261) Accm: 2.43 (2.43) Acct: 3.98 (3.98) proj_loss: -0.5712 (-0.5712) time: 0.3547 data: 0.0004
[11-26 06:45:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 0/1669] eta: 0:09:53 tlr: 0.00017 tnm: 0.37 Lm: 6.737 (6.737) Lt: 6.054 (6.054) Accm: 2.67 (2.67) Acct: 4.18 (4.18) proj_loss: -0.5760 (-0.5760) time: 0.3554 data: 0.0004
[11-26 06:48:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.869 (6.869) Lt: 6.184 (6.184) Accm: 2.48 (2.48) Acct: 3.87 (3.87) proj_loss: -0.5827 (-0.5827) time: 0.3604 data: 0.0003
[11-26 06:48:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.867 (6.867) Lt: 6.165 (6.165) Accm: 2.52 (2.52) Acct: 3.75 (3.75) proj_loss: -0.5872 (-0.5872) time: 0.3604 data: 0.0003
[11-26 06:48:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.968 (6.968) Lt: 6.273 (6.273) Accm: 2.27 (2.27) Acct: 3.73 (3.73) proj_loss: -0.5756 (-0.5756) time: 0.3604 data: 0.0003
[11-26 06:48:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 417/1669] eta: 0:07:32 tlr: 0.00017 tnm: 0.36 Lm: 6.921 (6.921) Lt: 6.269 (6.269) Accm: 2.40 (2.40) Acct: 3.68 (3.68) proj_loss: -0.5660 (-0.5660) time: 0.3604 data: 0.0003
[11-26 06:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:05:10 tlr: 0.00017 tnm: 0.39 Lm: 6.928 (6.923) Lt: 6.265 (6.268) Accm: 2.45 (2.42) Acct: 3.82 (3.72) proj_loss: -0.5623 (-0.5648) time: 0.4447 data: 0.0003
[11-26 06:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:05:10 tlr: 0.00017 tnm: 0.39 Lm: 6.793 (6.841) Lt: 6.111 (6.147) Accm: 2.71 (2.61) Acct: 4.05 (3.93) proj_loss: -0.5885 (-0.5902) time: 0.4447 data: 0.0003
[11-26 06:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:05:10 tlr: 0.00017 tnm: 0.39 Lm: 6.978 (6.905) Lt: 6.294 (6.221) Accm: 2.31 (2.43) Acct: 3.55 (3.72) proj_loss: -0.5894 (-0.5855) time: 0.4447 data: 0.0003
[11-26 06:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [ 834/1669] eta: 0:05:10 tlr: 0.00017 tnm: 0.39 Lm: 6.980 (6.975) Lt: 6.284 (6.282) Accm: 2.34 (2.29) Acct: 3.48 (3.60) proj_loss: -0.5799 (-0.5803) time: 0.4447 data: 0.0003
[11-26 06:53:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.38 Lm: 6.985 (6.994) Lt: 6.292 (6.304) Accm: 2.23 (2.21) Acct: 3.41 (3.50) proj_loss: -0.5839 (-0.5822) time: 0.4086 data: 0.0003
[11-26 06:53:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.38 Lm: 6.892 (6.900) Lt: 6.223 (6.228) Accm: 2.53 (2.46) Acct: 3.93 (3.80) proj_loss: -0.5714 (-0.5717) time: 0.4086 data: 0.0002
[11-26 06:53:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.38 Lm: 6.889 (6.879) Lt: 6.222 (6.203) Accm: 2.31 (2.40) Acct: 3.56 (3.68) proj_loss: -0.5827 (-0.5830) time: 0.4086 data: 0.0003
[11-26 06:53:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1251/1669] eta: 0:02:37 tlr: 0.00017 tnm: 0.38 Lm: 6.844 (6.855) Lt: 6.174 (6.169) Accm: 2.73 (2.64) Acct: 4.15 (4.01) proj_loss: -0.5872 (-0.5883) time: 0.4086 data: 0.0002
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.854 (6.854) Lt: 6.183 (6.172) Accm: 2.71 (2.62) Acct: 4.10 (4.03) proj_loss: -0.5885 (-0.5888) time: 0.3626 data: 0.0016
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:10:33 (0.380 s / it)
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.857 (6.881) Lt: 6.181 (6.202) Accm: 2.59 (2.49) Acct: 4.03 (3.87) proj_loss: -0.5623 (-0.5686) time: 0.3626 data: 0.0016
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.881 (6.879) Lt: 6.243 (6.211) Accm: 2.31 (2.38) Acct: 3.56 (3.67) proj_loss: -0.5894 (-0.5885) time: 0.3626 data: 0.0018
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 126/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.36 Lm: 6.980 (6.980) Lt: 6.284 (6.293) Accm: 2.34 (2.25) Acct: 3.48 (3.52) proj_loss: -0.5878 (-0.5834) time: 0.3626 data: 0.0021
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:10:33 (0.380 s / it)
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:10:33 (0.380 s / it)
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 126/350] Total time: 0:10:33 (0.380 s / it)
[11-26 06:56:13] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.889 (6.901), Lt: 6.200 (6.210), Acc m&t: 2.43 3.82, Remain: 1 day, 13:26:32, Finish: 2024-11-27 04:22
[11-26 06:56:13] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.889 (6.901), Lt: 6.200 (6.210), Acc m&t: 2.43 3.82, Remain: 1 day, 13:27:14, Finish: 2024-11-27 04:23
[11-26 06:56:13] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.889 (6.901), Lt: 6.200 (6.210), Acc m&t: 2.43 3.82, Remain: 1 day, 13:26:03, Finish: 2024-11-27 04:22
[11-26 06:56:13] (/home/user/VAR/train.py , line 276)=> [ep126] (training ) Lm: 6.889 (6.901), Lt: 6.200 (6.210), Acc m&t: 2.43 3.82, Remain: 1 day, 13:26:37, Finish: 2024-11-27 04:22
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:09:44 tlr: 0.00017 tnm: 0.39 Lm: 6.912 (6.912) Lt: 6.239 (6.239) Accm: 2.08 (2.08) Acct: 3.25 (3.25) proj_loss: -0.5691 (-0.5691) time: 0.3502 data: 0.0003
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:09:44 tlr: 0.00017 tnm: 0.39 Lm: 6.774 (6.774) Lt: 6.063 (6.063) Accm: 2.58 (2.58) Acct: 4.08 (4.08) proj_loss: -0.5981 (-0.5981) time: 0.3504 data: 0.0003
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:09:46 tlr: 0.00017 tnm: 0.39 Lm: 6.828 (6.828) Lt: 6.127 (6.127) Accm: 2.86 (2.86) Acct: 4.29 (4.29) proj_loss: -0.5943 (-0.5943) time: 0.3511 data: 0.0003
[11-26 06:56:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 0/1669] eta: 0:09:46 tlr: 0.00017 tnm: 0.39 Lm: 6.786 (6.786) Lt: 6.054 (6.054) Accm: 2.98 (2.98) Acct: 4.61 (4.61) proj_loss: -0.5643 (-0.5643) time: 0.3511 data: 0.0004
[11-26 06:58:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.38 Lm: 6.842 (6.842) Lt: 6.122 (6.122) Accm: 2.72 (2.72) Acct: 4.32 (4.32) proj_loss: -0.5691 (-0.5691) time: 0.3619 data: 0.0003
[11-26 06:58:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.38 Lm: 6.825 (6.825) Lt: 6.120 (6.120) Accm: 2.50 (2.50) Acct: 3.96 (3.96) proj_loss: -0.5958 (-0.5958) time: 0.3619 data: 0.0002
[11-26 06:58:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.38 Lm: 6.836 (6.836) Lt: 6.157 (6.157) Accm: 2.40 (2.40) Acct: 3.71 (3.71) proj_loss: -0.5791 (-0.5791) time: 0.3619 data: 0.0003
[11-26 06:58:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.38 Lm: 6.901 (6.901) Lt: 6.228 (6.228) Accm: 2.68 (2.68) Acct: 3.99 (3.99) proj_loss: -0.5926 (-0.5926) time: 0.3619 data: 0.0003
[11-26 07:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.35 Lm: 6.828 (6.860) Lt: 6.127 (6.162) Accm: 2.75 (2.70) Acct: 4.29 (4.19) proj_loss: -0.5909 (-0.5815) time: 0.3640 data: 0.0002
[11-26 07:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.35 Lm: 6.875 (6.842) Lt: 6.173 (6.138) Accm: 2.42 (2.43) Acct: 3.86 (3.93) proj_loss: -0.5936 (-0.5856) time: 0.3640 data: 0.0003
[11-26 07:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.35 Lm: 6.778 (6.817) Lt: 6.090 (6.135) Accm: 2.72 (2.55) Acct: 4.17 (3.99) proj_loss: -0.5891 (-0.5828) time: 0.3639 data: 0.0003
[11-26 07:01:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.35 Lm: 6.897 (6.869) Lt: 6.189 (6.168) Accm: 2.46 (2.60) Acct: 4.03 (4.14) proj_loss: -0.5740 (-0.5749) time: 0.3639 data: 0.0003
[11-26 07:03:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.910 (6.897) Lt: 6.225 (6.217) Accm: 2.41 (2.52) Acct: 3.90 (3.99) proj_loss: -0.5736 (-0.5745) time: 0.3615 data: 0.0002
[11-26 07:03:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.876 (6.868) Lt: 6.175 (6.168) Accm: 2.37 (2.40) Acct: 3.85 (3.87) proj_loss: -0.5861 (-0.5839) time: 0.3615 data: 0.0002
[11-26 07:03:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.892 (6.884) Lt: 6.198 (6.189) Accm: 2.63 (2.62) Acct: 4.03 (4.08) proj_loss: -0.5920 (-0.5843) time: 0.3615 data: 0.0003
[11-26 07:03:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.783 (6.810) Lt: 6.114 (6.136) Accm: 2.63 (2.54) Acct: 4.00 (3.95) proj_loss: -0.5897 (-0.5854) time: 0.3615 data: 0.0003
[11-26 07:06:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.789 (6.819) Lt: 6.138 (6.144) Accm: 2.53 (2.53) Acct: 3.93 (3.95) proj_loss: -0.5891 (-0.5857) time: 0.3651 data: 0.0015
[11-26 07:06:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:10:03 (0.362 s / it)
[11-26 07:06:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.877 (6.877) Lt: 6.177 (6.179) Accm: 2.40 (2.40) Acct: 3.84 (3.85) proj_loss: -0.5876 (-0.5846) time: 0.3651 data: 0.0016
[11-26 07:06:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.897 (6.883) Lt: 6.189 (6.203) Accm: 2.46 (2.54) Acct: 4.03 (4.04) proj_loss: -0.5740 (-0.5790) time: 0.3651 data: 0.0017
[11-26 07:06:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 127/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.874 (6.882) Lt: 6.127 (6.175) Accm: 2.50 (2.59) Acct: 4.06 (4.08) proj_loss: -0.5909 (-0.5807) time: 0.3651 data: 0.0019
[11-26 07:06:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:10:03 (0.362 s / it)
[11-26 07:06:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:10:03 (0.362 s / it)
[11-26 07:06:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 127/350] Total time: 0:10:03 (0.362 s / it)
[11-26 07:06:16] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.889 (6.900), Lt: 6.200 (6.207), Acc m&t: 2.45 3.85, Remain: 1 day, 13:38:41, Finish: 2024-11-27 04:44
[11-26 07:06:16] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.889 (6.900), Lt: 6.200 (6.207), Acc m&t: 2.45 3.85, Remain: 1 day, 13:38:49, Finish: 2024-11-27 04:45
[11-26 07:06:16] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.889 (6.900), Lt: 6.200 (6.207), Acc m&t: 2.45 3.85, Remain: 1 day, 13:38:31, Finish: 2024-11-27 04:44
[11-26 07:06:16] (/home/user/VAR/train.py , line 276)=> [ep127] (training ) Lm: 6.889 (6.900), Lt: 6.200 (6.207), Acc m&t: 2.45 3.85, Remain: 1 day, 13:37:41, Finish: 2024-11-27 04:43
[11-26 07:06:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:09:58 tlr: 0.00016 tnm: 0.36 Lm: 6.975 (6.975) Lt: 6.276 (6.276) Accm: 2.29 (2.29) Acct: 3.82 (3.82) proj_loss: -0.5488 (-0.5488) time: 0.3584 data: 0.0004
[11-26 07:06:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:09:58 tlr: 0.00016 tnm: 0.36 Lm: 6.818 (6.818) Lt: 6.090 (6.090) Accm: 2.35 (2.35) Acct: 3.70 (3.70) proj_loss: -0.5845 (-0.5845) time: 0.3586 data: 0.0003
[11-26 07:06:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:09:58 tlr: 0.00016 tnm: 0.36 Lm: 6.958 (6.958) Lt: 6.263 (6.263) Accm: 2.15 (2.15) Acct: 3.37 (3.37) proj_loss: -0.5744 (-0.5744) time: 0.3587 data: 0.0003
[11-26 07:06:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 0/1669] eta: 0:09:57 tlr: 0.00016 tnm: 0.36 Lm: 6.794 (6.794) Lt: 6.070 (6.070) Accm: 2.78 (2.78) Acct: 4.37 (4.37) proj_loss: -0.5892 (-0.5892) time: 0.3581 data: 0.0003
[11-26 07:08:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.37 Lm: 6.826 (6.826) Lt: 6.135 (6.135) Accm: 2.73 (2.73) Acct: 4.21 (4.21) proj_loss: -0.5929 (-0.5929) time: 0.3585 data: 0.0003
[11-26 07:08:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.37 Lm: 6.952 (6.952) Lt: 6.262 (6.262) Accm: 2.38 (2.38) Acct: 3.78 (3.78) proj_loss: -0.5661 (-0.5661) time: 0.3585 data: 0.0002
[11-26 07:08:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.37 Lm: 6.892 (6.892) Lt: 6.190 (6.190) Accm: 2.24 (2.24) Acct: 3.48 (3.48) proj_loss: -0.5909 (-0.5909) time: 0.3585 data: 0.0003
[11-26 07:08:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.37 Lm: 6.964 (6.964) Lt: 6.294 (6.294) Accm: 2.20 (2.20) Acct: 3.35 (3.35) proj_loss: -0.5879 (-0.5879) time: 0.3586 data: 0.0003
[11-26 07:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.37 Lm: 6.971 (6.989) Lt: 6.324 (6.322) Accm: 2.15 (2.14) Acct: 3.32 (3.32) proj_loss: -0.5744 (-0.5834) time: 0.3628 data: 0.0003
[11-26 07:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.37 Lm: 6.929 (6.944) Lt: 6.256 (6.260) Accm: 2.31 (2.36) Acct: 3.82 (3.82) proj_loss: -0.5648 (-0.5657) time: 0.3628 data: 0.0002
[11-26 07:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.37 Lm: 6.858 (6.875) Lt: 6.200 (6.184) Accm: 2.68 (2.54) Acct: 4.05 (3.98) proj_loss: -0.5904 (-0.5921) time: 0.3628 data: 0.0003
[11-26 07:11:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.37 Lm: 6.918 (6.901) Lt: 6.282 (6.221) Accm: 2.35 (2.33) Acct: 3.67 (3.54) proj_loss: -0.5972 (-0.5931) time: 0.3628 data: 0.0003
[11-26 07:13:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.868 (6.865) Lt: 6.186 (6.184) Accm: 2.44 (2.50) Acct: 3.68 (3.77) proj_loss: -0.5909 (-0.5883) time: 0.3596 data: 0.0003
[11-26 07:13:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.928 (6.903) Lt: 6.252 (6.211) Accm: 2.39 (2.41) Acct: 3.87 (3.91) proj_loss: -0.5728 (-0.5694) time: 0.3597 data: 0.0002
[11-26 07:13:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.826 (6.831) Lt: 6.135 (6.132) Accm: 2.73 (2.64) Acct: 4.21 (4.15) proj_loss: -0.5931 (-0.5930) time: 0.3596 data: 0.0003
[11-26 07:13:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.976 (6.987) Lt: 6.298 (6.310) Accm: 2.16 (2.15) Acct: 3.35 (3.37) proj_loss: -0.5744 (-0.5804) time: 0.3596 data: 0.0003
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.971 (6.963) Lt: 6.271 (6.283) Accm: 2.17 (2.27) Acct: 3.37 (3.56) proj_loss: -0.5744 (-0.5775) time: 0.3626 data: 0.0018
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.794 (6.822) Lt: 6.070 (6.118) Accm: 2.68 (2.62) Acct: 4.10 (4.14) proj_loss: -0.5958 (-0.5937) time: 0.3626 data: 0.0019
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.914 (6.875) Lt: 6.216 (6.191) Accm: 2.52 (2.50) Acct: 3.70 (3.82) proj_loss: -0.5845 (-0.5832) time: 0.3626 data: 0.0019
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 128/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.35 Lm: 6.927 (6.899) Lt: 6.248 (6.215) Accm: 2.40 (2.41) Acct: 3.82 (3.85) proj_loss: -0.5808 (-0.5729) time: 0.3626 data: 0.0016
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 128/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:16:19] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.889 (6.895), Lt: 6.200 (6.202), Acc m&t: 2.45 3.85, Remain: 1 day, 13:25:46, Finish: 2024-11-27 04:42
[11-26 07:16:19] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.889 (6.895), Lt: 6.200 (6.202), Acc m&t: 2.45 3.85, Remain: 1 day, 13:25:09, Finish: 2024-11-27 04:41
[11-26 07:16:19] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.889 (6.895), Lt: 6.200 (6.202), Acc m&t: 2.45 3.85, Remain: 1 day, 13:25:27, Finish: 2024-11-27 04:41
[11-26 07:16:19] (/home/user/VAR/train.py , line 276)=> [ep128] (training ) Lm: 6.889 (6.895), Lt: 6.200 (6.202), Acc m&t: 2.45 3.85, Remain: 1 day, 13:25:20, Finish: 2024-11-27 04:41
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:09:52 tlr: 0.00016 tnm: 0.35 Lm: 6.900 (6.900) Lt: 6.241 (6.241) Accm: 2.56 (2.56) Acct: 4.12 (4.12) proj_loss: -0.5757 (-0.5757) time: 0.3553 data: 0.0004
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:09:52 tlr: 0.00016 tnm: 0.35 Lm: 6.695 (6.695) Lt: 5.964 (5.964) Accm: 3.15 (3.15) Acct: 5.04 (5.04) proj_loss: -0.5765 (-0.5765) time: 0.3547 data: 0.0003
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:09:43 tlr: 0.00016 tnm: 0.35 Lm: 6.982 (6.982) Lt: 6.272 (6.272) Accm: 2.13 (2.13) Acct: 3.51 (3.51) proj_loss: -0.5599 (-0.5599) time: 0.3499 data: 0.0004
[11-26 07:16:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 0/1669] eta: 0:09:47 tlr: 0.00016 tnm: 0.35 Lm: 6.961 (6.961) Lt: 6.302 (6.302) Accm: 2.26 (2.26) Acct: 3.60 (3.60) proj_loss: -0.5915 (-0.5915) time: 0.3523 data: 0.0004
[11-26 07:18:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:07:43 tlr: 0.00016 tnm: 0.37 Lm: 6.930 (6.930) Lt: 6.269 (6.269) Accm: 2.33 (2.33) Acct: 3.68 (3.68) proj_loss: -0.5855 (-0.5855) time: 0.4447 data: 0.0003
[11-26 07:18:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:07:43 tlr: 0.00016 tnm: 0.37 Lm: 6.919 (6.919) Lt: 6.242 (6.242) Accm: 2.42 (2.42) Acct: 3.87 (3.87) proj_loss: -0.5804 (-0.5804) time: 0.4447 data: 0.0003
[11-26 07:18:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:07:43 tlr: 0.00016 tnm: 0.37 Lm: 6.774 (6.774) Lt: 6.061 (6.061) Accm: 2.78 (2.78) Acct: 4.32 (4.32) proj_loss: -0.5792 (-0.5792) time: 0.4447 data: 0.0003
[11-26 07:18:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 417/1669] eta: 0:07:43 tlr: 0.00016 tnm: 0.37 Lm: 6.983 (6.983) Lt: 6.294 (6.294) Accm: 2.15 (2.15) Acct: 3.43 (3.43) proj_loss: -0.5636 (-0.5636) time: 0.4447 data: 0.0003
[11-26 07:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:05:16 tlr: 0.00016 tnm: 0.38 Lm: 6.982 (6.958) Lt: 6.272 (6.271) Accm: 2.16 (2.22) Acct: 3.51 (3.59) proj_loss: -0.5672 (-0.5697) time: 0.3613 data: 0.0003
[11-26 07:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:05:16 tlr: 0.00016 tnm: 0.38 Lm: 6.900 (6.900) Lt: 6.241 (6.218) Accm: 2.29 (2.33) Acct: 3.62 (3.74) proj_loss: -0.5757 (-0.5776) time: 0.3613 data: 0.0002
[11-26 07:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:05:16 tlr: 0.00016 tnm: 0.38 Lm: 6.803 (6.784) Lt: 6.098 (6.073) Accm: 2.71 (2.76) Acct: 4.24 (4.29) proj_loss: -0.5819 (-0.5833) time: 0.3613 data: 0.0003
[11-26 07:21:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [ 834/1669] eta: 0:05:16 tlr: 0.00016 tnm: 0.38 Lm: 6.904 (6.922) Lt: 6.236 (6.247) Accm: 2.40 (2.36) Acct: 3.60 (3.57) proj_loss: -0.5915 (-0.5876) time: 0.3613 data: 0.0003
[11-26 07:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:02:40 tlr: 0.00016 tnm: 0.39 Lm: 6.908 (6.919) Lt: 6.264 (6.259) Accm: 2.36 (2.35) Acct: 3.54 (3.55) proj_loss: -0.5901 (-0.5879) time: 0.4043 data: 0.0003
[11-26 07:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:02:40 tlr: 0.00016 tnm: 0.39 Lm: 6.893 (6.896) Lt: 6.206 (6.206) Accm: 2.42 (2.41) Acct: 3.85 (3.83) proj_loss: -0.5745 (-0.5765) time: 0.4043 data: 0.0002
[11-26 07:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:02:40 tlr: 0.00016 tnm: 0.39 Lm: 6.945 (6.926) Lt: 6.249 (6.237) Accm: 2.27 (2.33) Acct: 3.72 (3.77) proj_loss: -0.5745 (-0.5760) time: 0.4043 data: 0.0003
[11-26 07:24:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1251/1669] eta: 0:02:40 tlr: 0.00016 tnm: 0.39 Lm: 6.828 (6.814) Lt: 6.128 (6.115) Accm: 2.57 (2.68) Acct: 4.03 (4.18) proj_loss: -0.5792 (-0.5801) time: 0.4043 data: 0.0002
[11-26 07:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.908 (6.910) Lt: 6.226 (6.225) Accm: 2.37 (2.34) Acct: 3.51 (3.68) proj_loss: -0.5818 (-0.5778) time: 0.3630 data: 0.0014
[11-26 07:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.911 (6.921) Lt: 6.250 (6.257) Accm: 2.40 (2.36) Acct: 3.60 (3.66) proj_loss: -0.5915 (-0.5899) time: 0.3630 data: 0.0017
[11-26 07:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.900 (6.913) Lt: 6.241 (6.223) Accm: 2.29 (2.38) Acct: 3.62 (3.76) proj_loss: -0.5733 (-0.5743) time: 0.3630 data: 0.0019
[11-26 07:26:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 129/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.853 (6.849) Lt: 6.159 (6.138) Accm: 2.43 (2.61) Acct: 3.86 (4.11) proj_loss: -0.5765 (-0.5772) time: 0.3630 data: 0.0022
[11-26 07:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:10:33 (0.379 s / it)
[11-26 07:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:10:33 (0.379 s / it)
[11-26 07:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:10:33 (0.379 s / it)
[11-26 07:26:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 129/350] Total time: 0:10:33 (0.379 s / it)
[11-26 07:29:05] (home/user/VAR/trainer.py, line 114)=> FID: 5.028859584520546
[11-26 07:29:05] (/home/user/VAR/train.py , line 259)=> [*] [ep129] (val 50000) Lm: 6.8984, Lt: 6.2081, Acc m&t: 2.44 3.83, Val cost: 132.47s
[11-26 07:29:05] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 07:29:13] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.889 (6.898), Lt: 6.200 (6.208), Acc m&t: 2.45 3.85, Remain: 1 day, 13:09:07, Finish: 2024-11-27 04:35
[11-26 07:29:13] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.889 (6.898), Lt: 6.200 (6.208), Acc m&t: 2.45 3.85, Remain: 1 day, 13:07:36, Finish: 2024-11-27 04:34
[11-26 07:29:13] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.889 (6.898), Lt: 6.200 (6.208), Acc m&t: 2.45 3.85, Remain: 1 day, 13:10:32, Finish: 2024-11-27 04:37
[11-26 07:29:13] (/home/user/VAR/train.py , line 276)=> [ep129] (training ) Lm: 6.889 (6.898), Lt: 6.200 (6.208), Acc m&t: 2.45 3.85, Remain: 1 day, 13:09:35, Finish: 2024-11-27 04:36
[11-26 07:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:10:06 tlr: 0.00016 tnm: 0.36 Lm: 6.895 (6.895) Lt: 6.209 (6.209) Accm: 2.24 (2.24) Acct: 3.31 (3.31) proj_loss: -0.5912 (-0.5912) time: 0.3635 data: 0.0004
[11-26 07:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:10:07 tlr: 0.00016 tnm: 0.36 Lm: 6.928 (6.928) Lt: 6.271 (6.271) Accm: 2.34 (2.34) Acct: 3.75 (3.75) proj_loss: -0.6010 (-0.6010) time: 0.3637 data: 0.0004
[11-26 07:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:10:07 tlr: 0.00016 tnm: 0.36 Lm: 6.830 (6.830) Lt: 6.157 (6.157) Accm: 2.59 (2.59) Acct: 4.06 (4.06) proj_loss: -0.5944 (-0.5944) time: 0.3639 data: 0.0004
[11-26 07:29:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 0/1669] eta: 0:10:19 tlr: 0.00016 tnm: 0.36 Lm: 6.861 (6.861) Lt: 6.165 (6.165) Accm: 2.48 (2.48) Acct: 3.91 (3.91) proj_loss: -0.5945 (-0.5945) time: 0.3712 data: 0.0004
[11-26 07:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.36 Lm: 6.907 (6.907) Lt: 6.231 (6.231) Accm: 2.38 (2.38) Acct: 3.60 (3.60) proj_loss: -0.5996 (-0.5996) time: 0.3633 data: 0.0002
[11-26 07:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.36 Lm: 6.888 (6.888) Lt: 6.210 (6.210) Accm: 2.33 (2.33) Acct: 3.71 (3.71) proj_loss: -0.5869 (-0.5869) time: 0.3633 data: 0.0003
[11-26 07:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.36 Lm: 6.837 (6.837) Lt: 6.155 (6.155) Accm: 2.60 (2.60) Acct: 3.90 (3.90) proj_loss: -0.5791 (-0.5791) time: 0.3633 data: 0.0003
[11-26 07:31:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.36 Lm: 6.838 (6.838) Lt: 6.150 (6.150) Accm: 2.54 (2.54) Acct: 3.86 (3.86) proj_loss: -0.5893 (-0.5893) time: 0.3633 data: 0.0002
[11-26 07:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.39 Lm: 6.846 (6.849) Lt: 6.143 (6.140) Accm: 2.59 (2.61) Acct: 4.06 (4.03) proj_loss: -0.5842 (-0.5841) time: 0.3606 data: 0.0002
[11-26 07:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.39 Lm: 6.865 (6.880) Lt: 6.149 (6.189) Accm: 2.34 (2.43) Acct: 3.75 (3.92) proj_loss: -0.5898 (-0.5879) time: 0.3606 data: 0.0002
[11-26 07:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.39 Lm: 6.861 (6.882) Lt: 6.165 (6.201) Accm: 2.47 (2.41) Acct: 3.91 (3.71) proj_loss: -0.5945 (-0.5953) time: 0.3606 data: 0.0002
[11-26 07:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.39 Lm: 6.895 (6.859) Lt: 6.209 (6.177) Accm: 2.45 (2.55) Acct: 3.93 (3.91) proj_loss: -0.5701 (-0.5761) time: 0.3606 data: 0.0003
[11-26 07:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.38 Lm: 6.879 (6.860) Lt: 6.198 (6.180) Accm: 2.47 (2.53) Acct: 3.98 (3.94) proj_loss: -0.5807 (-0.5816) time: 0.3587 data: 0.0003
[11-26 07:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.38 Lm: 6.856 (6.864) Lt: 6.148 (6.163) Accm: 2.49 (2.49) Acct: 4.01 (4.01) proj_loss: -0.5947 (-0.5908) time: 0.3588 data: 0.0002
[11-26 07:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.38 Lm: 6.907 (6.907) Lt: 6.212 (6.216) Accm: 2.39 (2.38) Acct: 3.82 (3.71) proj_loss: -0.5905 (-0.5916) time: 0.3588 data: 0.0003
[11-26 07:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.38 Lm: 6.858 (6.878) Lt: 6.150 (6.173) Accm: 2.54 (2.52) Acct: 3.88 (3.95) proj_loss: -0.5789 (-0.5801) time: 0.3588 data: 0.0002
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.870 (6.927) Lt: 6.157 (6.238) Accm: 2.50 (2.39) Acct: 3.70 (3.77) proj_loss: -0.5754 (-0.5792) time: 0.3603 data: 0.0015
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.865 (6.880) Lt: 6.149 (6.179) Accm: 2.43 (2.48) Acct: 3.84 (3.97) proj_loss: -0.5898 (-0.5885) time: 0.3603 data: 0.0020
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.861 (6.866) Lt: 6.165 (6.168) Accm: 2.47 (2.46) Acct: 3.91 (3.82) proj_loss: -0.5865 (-0.5888) time: 0.3603 data: 0.0013
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 130/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.38 Lm: 6.863 (6.853) Lt: 6.186 (6.170) Accm: 2.48 (2.56) Acct: 4.03 (4.01) proj_loss: -0.5853 (-0.5824) time: 0.3603 data: 0.0016
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 130/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:39:16] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.885 (6.885), Lt: 6.192 (6.192), Acc m&t: 2.45 3.85, Remain: 1 day, 12:43:39, Finish: 2024-11-27 04:22
[11-26 07:39:16] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.885 (6.885), Lt: 6.192 (6.192), Acc m&t: 2.45 3.85, Remain: 1 day, 12:43:28, Finish: 2024-11-27 04:22
[11-26 07:39:16] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.885 (6.885), Lt: 6.192 (6.192), Acc m&t: 2.45 3.85, Remain: 1 day, 12:43:20, Finish: 2024-11-27 04:22
[11-26 07:39:16] (/home/user/VAR/train.py , line 276)=> [ep130] (training ) Lm: 6.885 (6.885), Lt: 6.192 (6.192), Acc m&t: 2.45 3.85, Remain: 1 day, 12:43:16, Finish: 2024-11-27 04:22
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:09:38 tlr: 0.00016 tnm: 0.38 Lm: 6.937 (6.937) Lt: 6.311 (6.311) Accm: 2.19 (2.19) Acct: 3.44 (3.44) proj_loss: -0.5973 (-0.5973) time: 0.3465 data: 0.0004
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:09:51 tlr: 0.00016 tnm: 0.38 Lm: 6.913 (6.913) Lt: 6.267 (6.267) Accm: 2.24 (2.24) Acct: 3.36 (3.36) proj_loss: -0.5766 (-0.5766) time: 0.3544 data: 0.0003
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:09:38 tlr: 0.00016 tnm: 0.38 Lm: 6.878 (6.878) Lt: 6.234 (6.234) Accm: 2.53 (2.53) Acct: 4.08 (4.08) proj_loss: -0.5823 (-0.5823) time: 0.3465 data: 0.0004
[11-26 07:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 0/1669] eta: 0:09:37 tlr: 0.00016 tnm: 0.38 Lm: 6.742 (6.742) Lt: 6.054 (6.054) Accm: 2.86 (2.86) Acct: 4.34 (4.34) proj_loss: -0.5621 (-0.5621) time: 0.3458 data: 0.0004
[11-26 07:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.41 Lm: 6.808 (6.808) Lt: 6.137 (6.137) Accm: 2.72 (2.72) Acct: 4.02 (4.02) proj_loss: -0.5819 (-0.5819) time: 0.3608 data: 0.0003
[11-26 07:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.41 Lm: 6.927 (6.927) Lt: 6.280 (6.280) Accm: 2.25 (2.25) Acct: 3.51 (3.51) proj_loss: -0.5934 (-0.5934) time: 0.3608 data: 0.0003
[11-26 07:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.41 Lm: 6.838 (6.838) Lt: 6.159 (6.159) Accm: 2.71 (2.71) Acct: 4.39 (4.39) proj_loss: -0.5742 (-0.5742) time: 0.3608 data: 0.0002
[11-26 07:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.41 Lm: 6.971 (6.971) Lt: 6.303 (6.303) Accm: 2.19 (2.19) Acct: 3.41 (3.41) proj_loss: -0.5780 (-0.5780) time: 0.3608 data: 0.0002
[11-26 07:44:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.36 Lm: 6.913 (6.929) Lt: 6.267 (6.242) Accm: 2.24 (2.26) Acct: 3.46 (3.46) proj_loss: -0.5766 (-0.5772) time: 0.3594 data: 0.0003
[11-26 07:44:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.36 Lm: 6.850 (6.842) Lt: 6.141 (6.153) Accm: 2.58 (2.67) Acct: 4.17 (4.32) proj_loss: -0.5823 (-0.5838) time: 0.3594 data: 0.0002
[11-26 07:44:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.36 Lm: 6.873 (6.848) Lt: 6.221 (6.172) Accm: 2.58 (2.55) Acct: 3.70 (3.78) proj_loss: -0.5733 (-0.5790) time: 0.3594 data: 0.0003
[11-26 07:44:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.36 Lm: 6.937 (6.946) Lt: 6.297 (6.286) Accm: 2.19 (2.20) Acct: 3.44 (3.47) proj_loss: -0.5894 (-0.5882) time: 0.3594 data: 0.0003
[11-26 07:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.927 (6.926) Lt: 6.273 (6.265) Accm: 2.25 (2.34) Acct: 3.51 (3.61) proj_loss: -0.5911 (-0.5894) time: 0.3617 data: 0.0003
[11-26 07:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.950 (6.944) Lt: 6.303 (6.281) Accm: 2.19 (2.21) Acct: 3.41 (3.34) proj_loss: -0.5779 (-0.5777) time: 0.3617 data: 0.0003
[11-26 07:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.864 (6.902) Lt: 6.188 (6.232) Accm: 2.56 (2.49) Acct: 4.12 (4.01) proj_loss: -0.5807 (-0.5827) time: 0.3617 data: 0.0003
[11-26 07:46:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.902 (6.910) Lt: 6.231 (6.236) Accm: 2.39 (2.38) Acct: 3.50 (3.61) proj_loss: -0.5720 (-0.5770) time: 0.3617 data: 0.0003
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.41 Lm: 6.916 (6.912) Lt: 6.242 (6.238) Accm: 2.29 (2.36) Acct: 3.55 (3.60) proj_loss: -0.5733 (-0.5792) time: 0.3657 data: 0.0019
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.41 Lm: 6.918 (6.925) Lt: 6.248 (6.256) Accm: 2.31 (2.37) Acct: 3.58 (3.67) proj_loss: -0.5894 (-0.5850) time: 0.3657 data: 0.0021
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.41 Lm: 6.850 (6.887) Lt: 6.141 (6.209) Accm: 2.53 (2.50) Acct: 4.08 (4.00) proj_loss: -0.5823 (-0.5835) time: 0.3657 data: 0.0017
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 131/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.41 Lm: 6.913 (6.913) Lt: 6.267 (6.237) Accm: 2.24 (2.31) Acct: 3.46 (3.51) proj_loss: -0.5766 (-0.5750) time: 0.3657 data: 0.0018
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 131/350] Total time: 0:10:02 (0.361 s / it)
[11-26 07:49:19] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.885 (6.910), Lt: 6.192 (6.223), Acc m&t: 2.45 3.85, Remain: 1 day, 13:04:01, Finish: 2024-11-27 04:53
[11-26 07:49:19] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.885 (6.910), Lt: 6.192 (6.223), Acc m&t: 2.45 3.85, Remain: 1 day, 13:05:25, Finish: 2024-11-27 04:54
[11-26 07:49:19] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.885 (6.910), Lt: 6.192 (6.223), Acc m&t: 2.45 3.85, Remain: 1 day, 13:04:51, Finish: 2024-11-27 04:54
[11-26 07:49:19] (/home/user/VAR/train.py , line 276)=> [ep131] (training ) Lm: 6.885 (6.910), Lt: 6.192 (6.223), Acc m&t: 2.45 3.85, Remain: 1 day, 13:05:41, Finish: 2024-11-27 04:54
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:09:35 tlr: 0.00016 tnm: 0.38 Lm: 6.865 (6.865) Lt: 6.164 (6.164) Accm: 2.67 (2.67) Acct: 4.18 (4.18) proj_loss: -0.5749 (-0.5749) time: 0.3451 data: 0.0004
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:09:40 tlr: 0.00016 tnm: 0.38 Lm: 6.913 (6.913) Lt: 6.225 (6.225) Accm: 2.13 (2.13) Acct: 3.06 (3.06) proj_loss: -0.5861 (-0.5861) time: 0.3478 data: 0.0003
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:09:43 tlr: 0.00016 tnm: 0.38 Lm: 6.972 (6.972) Lt: 6.263 (6.263) Accm: 2.35 (2.35) Acct: 3.65 (3.65) proj_loss: -0.5624 (-0.5624) time: 0.3493 data: 0.0003
[11-26 07:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 0/1669] eta: 0:09:41 tlr: 0.00016 tnm: 0.38 Lm: 6.903 (6.903) Lt: 6.228 (6.228) Accm: 2.26 (2.26) Acct: 3.62 (3.62) proj_loss: -0.5797 (-0.5797) time: 0.3484 data: 0.0004
[11-26 07:51:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:07:58 tlr: 0.00016 tnm: 0.35 Lm: 6.858 (6.858) Lt: 6.178 (6.178) Accm: 2.43 (2.43) Acct: 3.79 (3.79) proj_loss: -0.5787 (-0.5787) time: 0.4401 data: 0.0003
[11-26 07:51:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:07:58 tlr: 0.00016 tnm: 0.35 Lm: 6.829 (6.829) Lt: 6.110 (6.110) Accm: 2.64 (2.64) Acct: 4.24 (4.24) proj_loss: -0.5823 (-0.5823) time: 0.4401 data: 0.0003
[11-26 07:51:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:07:58 tlr: 0.00016 tnm: 0.35 Lm: 6.949 (6.949) Lt: 6.275 (6.275) Accm: 2.13 (2.13) Acct: 3.33 (3.33) proj_loss: -0.5802 (-0.5802) time: 0.4401 data: 0.0003
[11-26 07:51:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 417/1669] eta: 0:07:58 tlr: 0.00016 tnm: 0.35 Lm: 6.953 (6.953) Lt: 6.276 (6.276) Accm: 2.21 (2.21) Acct: 3.36 (3.36) proj_loss: -0.5676 (-0.5676) time: 0.4401 data: 0.0003
[11-26 07:54:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:05:20 tlr: 0.00016 tnm: 0.36 Lm: 6.933 (6.927) Lt: 6.263 (6.240) Accm: 2.35 (2.29) Acct: 3.65 (3.60) proj_loss: -0.5668 (-0.5673) time: 0.3614 data: 0.0003
[11-26 07:54:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:05:20 tlr: 0.00016 tnm: 0.36 Lm: 6.925 (6.941) Lt: 6.225 (6.247) Accm: 2.13 (2.16) Acct: 3.60 (3.44) proj_loss: -0.5743 (-0.5772) time: 0.3614 data: 0.0003
[11-26 07:54:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:05:20 tlr: 0.00016 tnm: 0.36 Lm: 6.865 (6.859) Lt: 6.164 (6.152) Accm: 2.67 (2.68) Acct: 4.30 (4.29) proj_loss: -0.5897 (-0.5888) time: 0.3615 data: 0.0003
[11-26 07:54:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [ 834/1669] eta: 0:05:20 tlr: 0.00016 tnm: 0.36 Lm: 6.900 (6.872) Lt: 6.156 (6.171) Accm: 2.51 (2.45) Acct: 3.96 (3.88) proj_loss: -0.5777 (-0.5756) time: 0.3615 data: 0.0003
[11-26 07:57:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:02:40 tlr: 0.00016 tnm: 0.36 Lm: 6.868 (6.863) Lt: 6.158 (6.168) Accm: 2.55 (2.50) Acct: 4.01 (3.93) proj_loss: -0.5756 (-0.5751) time: 0.4016 data: 0.0004
[11-26 07:57:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:02:40 tlr: 0.00016 tnm: 0.36 Lm: 6.904 (6.882) Lt: 6.215 (6.195) Accm: 2.40 (2.49) Acct: 3.87 (3.88) proj_loss: -0.5698 (-0.5720) time: 0.4016 data: 0.0003
[11-26 07:57:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:02:40 tlr: 0.00016 tnm: 0.36 Lm: 6.955 (6.958) Lt: 6.249 (6.253) Accm: 2.13 (2.10) Acct: 3.44 (3.40) proj_loss: -0.5750 (-0.5768) time: 0.4016 data: 0.0002
[11-26 07:57:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1251/1669] eta: 0:02:40 tlr: 0.00016 tnm: 0.36 Lm: 6.836 (6.846) Lt: 6.131 (6.138) Accm: 2.64 (2.64) Acct: 4.24 (4.21) proj_loss: -0.5823 (-0.5833) time: 0.4016 data: 0.0003
[11-26 07:59:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.865 (6.856) Lt: 6.155 (6.142) Accm: 2.62 (2.61) Acct: 4.18 (4.16) proj_loss: -0.5749 (-0.5800) time: 0.3641 data: 0.0014
[11-26 07:59:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:10:31 (0.378 s / it)
[11-26 07:59:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.909 (6.887) Lt: 6.205 (6.197) Accm: 2.37 (2.46) Acct: 3.65 (3.82) proj_loss: -0.5703 (-0.5716) time: 0.3641 data: 0.0016
[11-26 07:59:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.925 (6.931) Lt: 6.225 (6.231) Accm: 2.13 (2.21) Acct: 3.60 (3.53) proj_loss: -0.5757 (-0.5801) time: 0.3641 data: 0.0017
[11-26 07:59:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 132/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.37 Lm: 6.891 (6.869) Lt: 6.160 (6.185) Accm: 2.51 (2.50) Acct: 3.96 (3.90) proj_loss: -0.5777 (-0.5782) time: 0.3640 data: 0.0018
[11-26 07:59:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:10:31 (0.378 s / it)
[11-26 07:59:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:10:31 (0.378 s / it)
[11-26 07:59:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 132/350] Total time: 0:10:31 (0.378 s / it)
[11-26 07:59:50] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.885 (6.887), Lt: 6.192 (6.193), Acc m&t: 2.45 3.85, Remain: 1 day, 12:54:42, Finish: 2024-11-27 04:54
[11-26 07:59:50] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.885 (6.887), Lt: 6.192 (6.193), Acc m&t: 2.45 3.85, Remain: 1 day, 12:56:07, Finish: 2024-11-27 04:55
[11-26 07:59:50] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.885 (6.887), Lt: 6.192 (6.193), Acc m&t: 2.45 3.85, Remain: 1 day, 12:56:08, Finish: 2024-11-27 04:55
[11-26 07:59:50] (/home/user/VAR/train.py , line 276)=> [ep132] (training ) Lm: 6.885 (6.887), Lt: 6.192 (6.193), Acc m&t: 2.45 3.85, Remain: 1 day, 12:55:48, Finish: 2024-11-27 04:55
[11-26 07:59:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:10:00 tlr: 0.00016 tnm: 0.39 Lm: 6.770 (6.770) Lt: 6.083 (6.083) Accm: 2.66 (2.66) Acct: 4.01 (4.01) proj_loss: -0.5884 (-0.5884) time: 0.3599 data: 0.0003
[11-26 07:59:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:10:01 tlr: 0.00016 tnm: 0.39 Lm: 6.961 (6.961) Lt: 6.286 (6.286) Accm: 2.27 (2.27) Acct: 3.55 (3.55) proj_loss: -0.5741 (-0.5741) time: 0.3604 data: 0.0003
[11-26 07:59:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:10:02 tlr: 0.00016 tnm: 0.39 Lm: 6.856 (6.856) Lt: 6.224 (6.224) Accm: 2.41 (2.41) Acct: 3.62 (3.62) proj_loss: -0.5925 (-0.5925) time: 0.3608 data: 0.0004
[11-26 07:59:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 0/1669] eta: 0:10:02 tlr: 0.00016 tnm: 0.39 Lm: 6.775 (6.775) Lt: 6.040 (6.040) Accm: 2.78 (2.78) Acct: 4.67 (4.67) proj_loss: -0.5696 (-0.5696) time: 0.3611 data: 0.0004
[11-26 08:02:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:07:35 tlr: 0.00016 tnm: 0.37 Lm: 6.846 (6.846) Lt: 6.122 (6.122) Accm: 2.58 (2.58) Acct: 4.20 (4.20) proj_loss: -0.5621 (-0.5621) time: 0.3599 data: 0.0003
[11-26 08:02:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:07:35 tlr: 0.00016 tnm: 0.37 Lm: 6.921 (6.921) Lt: 6.267 (6.267) Accm: 2.42 (2.42) Acct: 3.73 (3.73) proj_loss: -0.5848 (-0.5848) time: 0.3599 data: 0.0003
[11-26 08:02:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:07:35 tlr: 0.00016 tnm: 0.37 Lm: 6.834 (6.834) Lt: 6.172 (6.172) Accm: 2.51 (2.51) Acct: 3.85 (3.85) proj_loss: -0.5864 (-0.5864) time: 0.3599 data: 0.0002
[11-26 08:02:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 417/1669] eta: 0:07:35 tlr: 0.00016 tnm: 0.37 Lm: 6.931 (6.931) Lt: 6.265 (6.265) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: -0.5846 (-0.5846) time: 0.3599 data: 0.0003
[11-26 08:04:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.37 Lm: 6.961 (6.945) Lt: 6.270 (6.266) Accm: 2.27 (2.26) Acct: 3.55 (3.56) proj_loss: -0.5950 (-0.5884) time: 0.3605 data: 0.0003
[11-26 08:04:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.37 Lm: 6.986 (6.943) Lt: 6.310 (6.290) Accm: 2.41 (2.32) Acct: 3.62 (3.58) proj_loss: -0.5794 (-0.5830) time: 0.3605 data: 0.0003
[11-26 08:04:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.37 Lm: 6.903 (6.865) Lt: 6.204 (6.155) Accm: 2.37 (2.49) Acct: 3.74 (4.00) proj_loss: -0.5696 (-0.5713) time: 0.3605 data: 0.0003
[11-26 08:04:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.37 Lm: 6.899 (6.889) Lt: 6.261 (6.229) Accm: 2.35 (2.33) Acct: 3.68 (3.63) proj_loss: -0.5844 (-0.5784) time: 0.3605 data: 0.0003
[11-26 08:07:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.903 (6.894) Lt: 6.234 (6.224) Accm: 2.27 (2.29) Acct: 3.60 (3.60) proj_loss: -0.5839 (-0.5796) time: 0.3602 data: 0.0003
[11-26 08:07:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.937 (6.937) Lt: 6.257 (6.257) Accm: 2.26 (2.26) Acct: 3.67 (3.62) proj_loss: -0.5955 (-0.5913) time: 0.3602 data: 0.0003
[11-26 08:07:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.921 (6.909) Lt: 6.267 (6.255) Accm: 2.42 (2.39) Acct: 3.62 (3.59) proj_loss: -0.5783 (-0.5806) time: 0.3602 data: 0.0003
[11-26 08:07:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.910 (6.893) Lt: 6.213 (6.183) Accm: 2.34 (2.41) Acct: 3.67 (3.86) proj_loss: -0.5670 (-0.5696) time: 0.3602 data: 0.0003
[11-26 08:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.40 Lm: 6.903 (6.881) Lt: 6.204 (6.173) Accm: 2.37 (2.47) Acct: 3.74 (3.94) proj_loss: -0.5696 (-0.5719) time: 0.3627 data: 0.0016
[11-26 08:09:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:10:03 (0.362 s / it)
[11-26 08:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.40 Lm: 6.961 (6.963) Lt: 6.270 (6.284) Accm: 2.26 (2.22) Acct: 3.55 (3.55) proj_loss: -0.5950 (-0.5875) time: 0.3627 data: 0.0018
[11-26 08:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.40 Lm: 6.856 (6.873) Lt: 6.224 (6.211) Accm: 2.43 (2.51) Acct: 3.62 (3.78) proj_loss: -0.5794 (-0.5818) time: 0.3627 data: 0.0016
[11-26 08:09:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 133/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.40 Lm: 6.908 (6.902) Lt: 6.207 (6.216) Accm: 2.35 (2.37) Acct: 3.68 (3.72) proj_loss: -0.5834 (-0.5755) time: 0.3627 data: 0.0014
[11-26 08:09:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:10:03 (0.362 s / it)
[11-26 08:09:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:10:03 (0.362 s / it)
[11-26 08:09:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 133/350] Total time: 0:10:03 (0.362 s / it)
[11-26 08:09:54] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.885 (6.906), Lt: 6.192 (6.217), Acc m&t: 2.45 3.85, Remain: 1 day, 12:31:16, Finish: 2024-11-27 04:41
[11-26 08:09:54] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.885 (6.906), Lt: 6.192 (6.217), Acc m&t: 2.45 3.85, Remain: 1 day, 12:31:31, Finish: 2024-11-27 04:41
[11-26 08:09:54] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.885 (6.906), Lt: 6.192 (6.217), Acc m&t: 2.45 3.85, Remain: 1 day, 12:31:07, Finish: 2024-11-27 04:41
[11-26 08:09:54] (/home/user/VAR/train.py , line 276)=> [ep133] (training ) Lm: 6.885 (6.906), Lt: 6.192 (6.217), Acc m&t: 2.45 3.85, Remain: 1 day, 12:31:58, Finish: 2024-11-27 04:41
[11-26 08:09:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:09:36 tlr: 0.00016 tnm: 0.40 Lm: 7.018 (7.018) Lt: 6.273 (6.273) Accm: 2.32 (2.32) Acct: 3.93 (3.93) proj_loss: -0.5543 (-0.5543) time: 0.3453 data: 0.0003
[11-26 08:09:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:09:58 tlr: 0.00016 tnm: 0.40 Lm: 6.952 (6.952) Lt: 6.295 (6.295) Accm: 2.38 (2.38) Acct: 3.72 (3.72) proj_loss: -0.5815 (-0.5815) time: 0.3587 data: 0.0003
[11-26 08:09:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:09:39 tlr: 0.00016 tnm: 0.40 Lm: 6.743 (6.743) Lt: 6.074 (6.074) Accm: 2.91 (2.91) Acct: 4.01 (4.01) proj_loss: -0.6026 (-0.6026) time: 0.3472 data: 0.0004
[11-26 08:09:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 0/1669] eta: 0:09:37 tlr: 0.00016 tnm: 0.40 Lm: 6.789 (6.789) Lt: 6.154 (6.154) Accm: 2.72 (2.72) Acct: 4.06 (4.06) proj_loss: -0.5774 (-0.5774) time: 0.3462 data: 0.0004
[11-26 08:12:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.39 Lm: 6.822 (6.822) Lt: 6.147 (6.147) Accm: 2.76 (2.76) Acct: 4.07 (4.07) proj_loss: -0.5810 (-0.5810) time: 0.3623 data: 0.0003
[11-26 08:12:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.39 Lm: 6.859 (6.859) Lt: 6.177 (6.177) Accm: 2.66 (2.66) Acct: 3.91 (3.91) proj_loss: -0.5842 (-0.5842) time: 0.3624 data: 0.0003
[11-26 08:12:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.39 Lm: 6.863 (6.863) Lt: 6.184 (6.184) Accm: 2.45 (2.45) Acct: 3.78 (3.78) proj_loss: -0.5817 (-0.5817) time: 0.3623 data: 0.0002
[11-26 08:12:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.39 Lm: 6.913 (6.913) Lt: 6.214 (6.214) Accm: 2.51 (2.51) Acct: 4.10 (4.10) proj_loss: -0.5780 (-0.5780) time: 0.3624 data: 0.0003
[11-26 08:14:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.36 Lm: 6.872 (6.899) Lt: 6.155 (6.190) Accm: 2.64 (2.56) Acct: 4.06 (4.09) proj_loss: -0.5806 (-0.5788) time: 0.3627 data: 0.0003
[11-26 08:14:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.36 Lm: 6.905 (6.877) Lt: 6.186 (6.185) Accm: 2.38 (2.43) Acct: 3.84 (3.88) proj_loss: -0.5815 (-0.5801) time: 0.3627 data: 0.0002
[11-26 08:14:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.36 Lm: 6.905 (6.874) Lt: 6.189 (6.181) Accm: 2.40 (2.52) Acct: 3.81 (3.75) proj_loss: -0.5785 (-0.5823) time: 0.3627 data: 0.0003
[11-26 08:14:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.36 Lm: 6.855 (6.869) Lt: 6.154 (6.205) Accm: 2.72 (2.54) Acct: 4.06 (3.86) proj_loss: -0.5783 (-0.5801) time: 0.3627 data: 0.0003
[11-26 08:17:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.42 Lm: 6.909 (6.902) Lt: 6.237 (6.246) Accm: 2.41 (2.39) Acct: 3.74 (3.62) proj_loss: -0.5814 (-0.5866) time: 0.3617 data: 0.0003
[11-26 08:17:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.42 Lm: 6.901 (6.880) Lt: 6.202 (6.190) Accm: 2.43 (2.50) Acct: 3.72 (3.72) proj_loss: -0.5846 (-0.5844) time: 0.3617 data: 0.0003
[11-26 08:17:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.42 Lm: 6.882 (6.872) Lt: 6.209 (6.197) Accm: 2.40 (2.43) Acct: 3.78 (3.81) proj_loss: -0.5817 (-0.5848) time: 0.3617 data: 0.0003
[11-26 08:17:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.42 Lm: 6.884 (6.899) Lt: 6.205 (6.206) Accm: 2.48 (2.48) Acct: 3.99 (3.89) proj_loss: -0.5838 (-0.5809) time: 0.3617 data: 0.0003
[11-26 08:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.859 (6.868) Lt: 6.213 (6.200) Accm: 2.43 (2.43) Acct: 3.72 (3.78) proj_loss: -0.5818 (-0.5877) time: 0.4474 data: 0.0020
[11-26 08:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.898 (6.857) Lt: 6.189 (6.167) Accm: 2.46 (2.55) Acct: 3.81 (3.82) proj_loss: -0.5785 (-0.5832) time: 0.4474 data: 0.0019
[11-26 08:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.964 (6.918) Lt: 6.321 (6.265) Accm: 2.21 (2.36) Acct: 3.55 (3.61) proj_loss: -0.5845 (-0.5874) time: 0.4474 data: 0.0023
[11-26 08:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 134/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.39 Lm: 6.872 (6.875) Lt: 6.155 (6.170) Accm: 2.64 (2.55) Acct: 4.06 (4.06) proj_loss: -0.5806 (-0.5796) time: 0.4474 data: 0.0013
[11-26 08:20:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:10:06 (0.363 s / it)
[11-26 08:20:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:10:06 (0.363 s / it)
[11-26 08:20:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:10:06 (0.363 s / it)
[11-26 08:20:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 134/350] Total time: 0:10:06 (0.363 s / it)
[11-26 08:20:00] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.885 (6.892), Lt: 6.192 (6.202), Acc m&t: 2.45 3.85, Remain: 1 day, 12:40:25, Finish: 2024-11-27 05:00
[11-26 08:20:00] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.885 (6.892), Lt: 6.192 (6.202), Acc m&t: 2.45 3.85, Remain: 1 day, 12:41:00, Finish: 2024-11-27 05:01
[11-26 08:20:00] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.885 (6.892), Lt: 6.192 (6.202), Acc m&t: 2.45 3.85, Remain: 1 day, 12:40:27, Finish: 2024-11-27 05:00
[11-26 08:20:00] (/home/user/VAR/train.py , line 276)=> [ep134] (training ) Lm: 6.885 (6.892), Lt: 6.192 (6.202), Acc m&t: 2.45 3.85, Remain: 1 day, 12:40:28, Finish: 2024-11-27 05:00
[11-26 08:20:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:09:46 tlr: 0.00016 tnm: 0.38 Lm: 7.027 (7.027) Lt: 6.326 (6.326) Accm: 2.39 (2.39) Acct: 3.74 (3.74) proj_loss: -0.5896 (-0.5896) time: 0.3512 data: 0.0004
[11-26 08:20:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:09:44 tlr: 0.00016 tnm: 0.38 Lm: 6.933 (6.933) Lt: 6.268 (6.268) Accm: 2.44 (2.44) Acct: 3.82 (3.82) proj_loss: -0.5959 (-0.5959) time: 0.3503 data: 0.0004
[11-26 08:20:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:09:46 tlr: 0.00016 tnm: 0.38 Lm: 6.881 (6.881) Lt: 6.174 (6.174) Accm: 2.35 (2.35) Acct: 3.63 (3.63) proj_loss: -0.5859 (-0.5859) time: 0.3514 data: 0.0004
[11-26 08:20:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 0/1669] eta: 0:10:23 tlr: 0.00016 tnm: 0.38 Lm: 6.996 (6.996) Lt: 6.320 (6.320) Accm: 2.10 (2.10) Acct: 3.32 (3.32) proj_loss: -0.5985 (-0.5985) time: 0.3735 data: 0.0003
[11-26 08:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:08:03 tlr: 0.00016 tnm: 0.37 Lm: 6.910 (6.910) Lt: 6.219 (6.219) Accm: 2.31 (2.31) Acct: 3.69 (3.69) proj_loss: -0.5872 (-0.5872) time: 0.3622 data: 0.0003
[11-26 08:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:08:03 tlr: 0.00016 tnm: 0.37 Lm: 6.914 (6.914) Lt: 6.234 (6.234) Accm: 2.46 (2.46) Acct: 3.89 (3.89) proj_loss: -0.5867 (-0.5867) time: 0.3623 data: 0.0003
[11-26 08:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:08:03 tlr: 0.00016 tnm: 0.37 Lm: 6.933 (6.933) Lt: 6.238 (6.238) Accm: 2.54 (2.54) Acct: 4.02 (4.02) proj_loss: -0.5725 (-0.5725) time: 0.3622 data: 0.0003
[11-26 08:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 417/1669] eta: 0:08:03 tlr: 0.00016 tnm: 0.37 Lm: 6.839 (6.839) Lt: 6.140 (6.140) Accm: 2.46 (2.46) Acct: 3.92 (3.92) proj_loss: -0.5816 (-0.5816) time: 0.3622 data: 0.0003
[11-26 08:25:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:05:23 tlr: 0.00016 tnm: 0.38 Lm: 6.881 (6.872) Lt: 6.174 (6.191) Accm: 2.35 (2.37) Acct: 3.63 (3.74) proj_loss: -0.5836 (-0.5823) time: 0.4026 data: 0.0003
[11-26 08:25:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:05:23 tlr: 0.00016 tnm: 0.38 Lm: 6.895 (6.865) Lt: 6.200 (6.187) Accm: 2.48 (2.49) Acct: 3.96 (3.94) proj_loss: -0.5959 (-0.5914) time: 0.4026 data: 0.0003
[11-26 08:25:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:05:23 tlr: 0.00016 tnm: 0.38 Lm: 6.926 (6.915) Lt: 6.235 (6.224) Accm: 2.19 (2.27) Acct: 3.60 (3.66) proj_loss: -0.5825 (-0.5857) time: 0.4026 data: 0.0003
[11-26 08:25:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [ 834/1669] eta: 0:05:23 tlr: 0.00016 tnm: 0.38 Lm: 7.007 (6.958) Lt: 6.315 (6.264) Accm: 2.39 (2.43) Acct: 3.74 (3.81) proj_loss: -0.5717 (-0.5722) time: 0.4026 data: 0.0003
[11-26 08:27:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:02:39 tlr: 0.00016 tnm: 0.36 Lm: 6.923 (6.926) Lt: 6.233 (6.225) Accm: 2.48 (2.46) Acct: 3.89 (3.87) proj_loss: -0.5703 (-0.5714) time: 0.3615 data: 0.0003
[11-26 08:27:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:02:39 tlr: 0.00016 tnm: 0.36 Lm: 6.914 (6.891) Lt: 6.234 (6.214) Accm: 2.46 (2.40) Acct: 3.89 (3.79) proj_loss: -0.5904 (-0.5898) time: 0.3615 data: 0.0002
[11-26 08:27:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:02:39 tlr: 0.00016 tnm: 0.36 Lm: 6.868 (6.867) Lt: 6.177 (6.188) Accm: 2.46 (2.43) Acct: 3.77 (3.78) proj_loss: -0.5805 (-0.5808) time: 0.3615 data: 0.0003
[11-26 08:27:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1251/1669] eta: 0:02:39 tlr: 0.00016 tnm: 0.36 Lm: 6.921 (6.915) Lt: 6.241 (6.230) Accm: 2.15 (2.21) Acct: 3.46 (3.50) proj_loss: -0.5843 (-0.5858) time: 0.3615 data: 0.0003
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.926 (6.918) Lt: 6.247 (6.234) Accm: 2.16 (2.20) Acct: 3.32 (3.44) proj_loss: -0.5861 (-0.5862) time: 0.3626 data: 0.0016
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:10:28 (0.376 s / it)
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.895 (6.882) Lt: 6.200 (6.200) Accm: 2.48 (2.44) Acct: 3.96 (3.84) proj_loss: -0.5849 (-0.5887) time: 0.3626 data: 0.0015
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.924 (6.926) Lt: 6.199 (6.220) Accm: 2.53 (2.48) Acct: 4.05 (3.95) proj_loss: -0.5717 (-0.5718) time: 0.3626 data: 0.0022
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 135/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.881 (6.879) Lt: 6.179 (6.202) Accm: 2.35 (2.41) Acct: 3.63 (3.75) proj_loss: -0.5804 (-0.5807) time: 0.3626 data: 0.0018
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:10:28 (0.376 s / it)
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:10:28 (0.376 s / it)
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 135/350] Total time: 0:10:28 (0.376 s / it)
[11-26 08:30:29] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.885 (6.886), Lt: 6.192 (6.194), Acc m&t: 2.45 3.85, Remain: 1 day, 12:07:48, Finish: 2024-11-27 04:38
[11-26 08:30:29] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.885 (6.886), Lt: 6.192 (6.194), Acc m&t: 2.45 3.85, Remain: 1 day, 12:06:46, Finish: 2024-11-27 04:37
[11-26 08:30:29] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.885 (6.886), Lt: 6.192 (6.194), Acc m&t: 2.45 3.85, Remain: 1 day, 12:08:00, Finish: 2024-11-27 04:38
[11-26 08:30:29] (/home/user/VAR/train.py , line 276)=> [ep135] (training ) Lm: 6.885 (6.886), Lt: 6.192 (6.194), Acc m&t: 2.45 3.85, Remain: 1 day, 12:07:22, Finish: 2024-11-27 04:37
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:09:34 tlr: 0.00016 tnm: 0.37 Lm: 6.857 (6.857) Lt: 6.177 (6.177) Accm: 2.64 (2.64) Acct: 3.98 (3.98) proj_loss: -0.5878 (-0.5878) time: 0.3445 data: 0.0003
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:09:34 tlr: 0.00016 tnm: 0.37 Lm: 6.820 (6.820) Lt: 6.124 (6.124) Accm: 2.24 (2.24) Acct: 3.46 (3.46) proj_loss: -0.6031 (-0.6031) time: 0.3442 data: 0.0004
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:09:35 tlr: 0.00016 tnm: 0.37 Lm: 6.891 (6.891) Lt: 6.203 (6.203) Accm: 2.56 (2.56) Acct: 3.93 (3.93) proj_loss: -0.5821 (-0.5821) time: 0.3449 data: 0.0004
[11-26 08:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 0/1669] eta: 0:09:36 tlr: 0.00016 tnm: 0.37 Lm: 6.953 (6.953) Lt: 6.241 (6.241) Accm: 2.43 (2.43) Acct: 3.84 (3.84) proj_loss: -0.5729 (-0.5729) time: 0.3453 data: 0.0004
[11-26 08:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.38 Lm: 6.862 (6.862) Lt: 6.192 (6.192) Accm: 2.48 (2.48) Acct: 3.87 (3.87) proj_loss: -0.5935 (-0.5935) time: 0.3628 data: 0.0003
[11-26 08:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.38 Lm: 6.926 (6.926) Lt: 6.256 (6.256) Accm: 2.37 (2.37) Acct: 3.70 (3.70) proj_loss: -0.5807 (-0.5807) time: 0.3628 data: 0.0003
[11-26 08:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.38 Lm: 6.779 (6.779) Lt: 6.091 (6.091) Accm: 2.39 (2.39) Acct: 3.64 (3.64) proj_loss: -0.6013 (-0.6013) time: 0.3628 data: 0.0003
[11-26 08:33:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.38 Lm: 6.809 (6.809) Lt: 6.094 (6.094) Accm: 2.70 (2.70) Acct: 4.24 (4.24) proj_loss: -0.5740 (-0.5740) time: 0.3629 data: 0.0003
[11-26 08:35:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.39 Lm: 6.896 (6.838) Lt: 6.210 (6.132) Accm: 2.57 (2.65) Acct: 3.96 (4.14) proj_loss: -0.5729 (-0.5689) time: 0.3594 data: 0.0003
[11-26 08:35:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.39 Lm: 6.857 (6.845) Lt: 6.177 (6.144) Accm: 2.56 (2.51) Acct: 3.98 (3.95) proj_loss: -0.5878 (-0.5855) time: 0.3594 data: 0.0007
[11-26 08:35:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.39 Lm: 6.960 (6.937) Lt: 6.253 (6.255) Accm: 2.34 (2.36) Acct: 3.77 (3.72) proj_loss: -0.5794 (-0.5763) time: 0.3594 data: 0.0003
[11-26 08:35:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.39 Lm: 6.820 (6.823) Lt: 6.124 (6.148) Accm: 2.49 (2.43) Acct: 3.75 (3.68) proj_loss: -0.5996 (-0.5967) time: 0.3594 data: 0.0003
[11-26 08:38:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.865 (6.880) Lt: 6.193 (6.204) Accm: 2.37 (2.35) Acct: 3.61 (3.56) proj_loss: -0.5935 (-0.5941) time: 0.3625 data: 0.0003
[11-26 08:38:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.834 (6.835) Lt: 6.137 (6.132) Accm: 2.56 (2.52) Acct: 3.96 (3.95) proj_loss: -0.5858 (-0.5850) time: 0.3625 data: 0.0003
[11-26 08:38:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.935 (6.931) Lt: 6.228 (6.242) Accm: 2.37 (2.37) Acct: 3.83 (3.77) proj_loss: -0.5807 (-0.5780) time: 0.3625 data: 0.0003
[11-26 08:38:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.39 Lm: 6.918 (6.864) Lt: 6.222 (6.158) Accm: 2.50 (2.56) Acct: 3.90 (4.02) proj_loss: -0.5740 (-0.5707) time: 0.3625 data: 0.0003
[11-26 08:40:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.896 (6.837) Lt: 6.210 (6.131) Accm: 2.57 (2.63) Acct: 3.96 (4.08) proj_loss: -0.5751 (-0.5731) time: 0.3603 data: 0.0022
[11-26 08:40:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:10:03 (0.362 s / it)
[11-26 08:40:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.872 (6.878) Lt: 6.192 (6.202) Accm: 2.49 (2.38) Acct: 3.75 (3.66) proj_loss: -0.5873 (-0.5912) time: 0.3603 data: 0.0020
[11-26 08:40:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.814 (6.831) Lt: 6.143 (6.134) Accm: 2.55 (2.52) Acct: 3.94 (3.91) proj_loss: -0.5837 (-0.5847) time: 0.3603 data: 0.0019
[11-26 08:40:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 136/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.960 (6.941) Lt: 6.253 (6.263) Accm: 2.34 (2.37) Acct: 3.77 (3.75) proj_loss: -0.5821 (-0.5817) time: 0.3603 data: 0.0018
[11-26 08:40:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:10:03 (0.362 s / it)
[11-26 08:40:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:10:03 (0.362 s / it)
[11-26 08:40:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 136/350] Total time: 0:10:03 (0.362 s / it)
[11-26 08:40:32] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.884 (6.884), Lt: 6.189 (6.189), Acc m&t: 2.46 3.87, Remain: 1 day, 11:47:27, Finish: 2024-11-27 04:27
[11-26 08:40:32] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.884 (6.884), Lt: 6.189 (6.189), Acc m&t: 2.46 3.87, Remain: 1 day, 11:47:58, Finish: 2024-11-27 04:28
[11-26 08:40:32] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.884 (6.884), Lt: 6.189 (6.189), Acc m&t: 2.46 3.87, Remain: 1 day, 11:48:51, Finish: 2024-11-27 04:29
[11-26 08:40:32] (/home/user/VAR/train.py , line 276)=> [ep136] (training ) Lm: 6.884 (6.884), Lt: 6.189 (6.189), Acc m&t: 2.46 3.87, Remain: 1 day, 11:49:10, Finish: 2024-11-27 04:29
[11-26 08:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:09:49 tlr: 0.00016 tnm: 0.37 Lm: 6.904 (6.904) Lt: 6.173 (6.173) Accm: 2.65 (2.65) Acct: 4.27 (4.27) proj_loss: -0.5884 (-0.5884) time: 0.3530 data: 0.0003
[11-26 08:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:09:49 tlr: 0.00016 tnm: 0.37 Lm: 6.905 (6.905) Lt: 6.182 (6.182) Accm: 2.35 (2.35) Acct: 3.79 (3.79) proj_loss: -0.5666 (-0.5666) time: 0.3532 data: 0.0004
[11-26 08:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:09:47 tlr: 0.00016 tnm: 0.37 Lm: 6.908 (6.908) Lt: 6.249 (6.249) Accm: 2.28 (2.28) Acct: 3.79 (3.79) proj_loss: -0.5989 (-0.5989) time: 0.3522 data: 0.0003
[11-26 08:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 0/1669] eta: 0:09:45 tlr: 0.00016 tnm: 0.37 Lm: 6.911 (6.911) Lt: 6.257 (6.257) Accm: 2.39 (2.39) Acct: 3.81 (3.81) proj_loss: -0.5786 (-0.5786) time: 0.3511 data: 0.0003
[11-26 08:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.38 Lm: 6.817 (6.817) Lt: 6.163 (6.163) Accm: 2.62 (2.62) Acct: 3.99 (3.99) proj_loss: -0.5873 (-0.5873) time: 0.3615 data: 0.0003
[11-26 08:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.38 Lm: 6.917 (6.917) Lt: 6.191 (6.191) Accm: 2.43 (2.43) Acct: 3.84 (3.84) proj_loss: -0.5848 (-0.5848) time: 0.3615 data: 0.0003
[11-26 08:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.38 Lm: 6.859 (6.859) Lt: 6.159 (6.159) Accm: 2.49 (2.49) Acct: 4.04 (4.04) proj_loss: -0.5957 (-0.5957) time: 0.3615 data: 0.0002
[11-26 08:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.38 Lm: 6.848 (6.848) Lt: 6.134 (6.134) Accm: 2.47 (2.47) Acct: 3.97 (3.97) proj_loss: -0.5771 (-0.5771) time: 0.3615 data: 0.0003
[11-26 08:45:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.37 Lm: 6.889 (6.862) Lt: 6.154 (6.141) Accm: 2.35 (2.38) Acct: 3.79 (3.78) proj_loss: -0.5866 (-0.5803) time: 0.3639 data: 0.0003
[11-26 08:45:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.37 Lm: 6.904 (6.886) Lt: 6.173 (6.164) Accm: 2.63 (2.50) Acct: 4.20 (3.96) proj_loss: -0.5811 (-0.5801) time: 0.3639 data: 0.0003
[11-26 08:45:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.37 Lm: 6.869 (6.834) Lt: 6.137 (6.154) Accm: 2.59 (2.61) Acct: 4.12 (4.03) proj_loss: -0.5792 (-0.5846) time: 0.3639 data: 0.0003
[11-26 08:45:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [ 834/1669] eta: 0:05:01 tlr: 0.00016 tnm: 0.37 Lm: 6.908 (6.923) Lt: 6.249 (6.234) Accm: 2.28 (2.37) Acct: 3.79 (3.72) proj_loss: -0.5925 (-0.5923) time: 0.3639 data: 0.0003
[11-26 08:48:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.923 (6.927) Lt: 6.256 (6.241) Accm: 2.28 (2.35) Acct: 3.67 (3.68) proj_loss: -0.5891 (-0.5907) time: 0.3592 data: 0.0003
[11-26 08:48:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.911 (6.894) Lt: 6.191 (6.187) Accm: 2.52 (2.48) Acct: 4.02 (3.93) proj_loss: -0.5760 (-0.5754) time: 0.3592 data: 0.0003
[11-26 08:48:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.827 (6.822) Lt: 6.134 (6.148) Accm: 2.57 (2.60) Acct: 4.08 (4.04) proj_loss: -0.5876 (-0.5894) time: 0.3592 data: 0.0002
[11-26 08:48:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1251/1669] eta: 0:02:30 tlr: 0.00016 tnm: 0.36 Lm: 6.855 (6.852) Lt: 6.131 (6.132) Accm: 2.47 (2.44) Acct: 3.97 (3.90) proj_loss: -0.5871 (-0.5830) time: 0.3592 data: 0.0003
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.821 (6.821) Lt: 6.107 (6.100) Accm: 2.59 (2.62) Acct: 4.15 (4.18) proj_loss: -0.5866 (-0.5826) time: 0.3651 data: 0.0018
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:10:09 (0.365 s / it)
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.919 (6.903) Lt: 6.209 (6.196) Accm: 2.41 (2.43) Acct: 3.84 (3.88) proj_loss: -0.5708 (-0.5731) time: 0.3651 data: 0.0017
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.908 (6.911) Lt: 6.249 (6.224) Accm: 2.29 (2.41) Acct: 3.79 (3.78) proj_loss: -0.5925 (-0.5911) time: 0.3651 data: 0.0015
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 137/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.869 (6.840) Lt: 6.137 (6.162) Accm: 2.55 (2.54) Acct: 4.05 (3.97) proj_loss: -0.5830 (-0.5881) time: 0.3651 data: 0.0016
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:10:09 (0.365 s / it)
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:10:09 (0.365 s / it)
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 137/350] Total time: 0:10:09 (0.365 s / it)
[11-26 08:50:42] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.882 (6.882), Lt: 6.189 (6.189), Acc m&t: 2.46 3.88, Remain: 1 day, 11:59:48, Finish: 2024-11-27 04:50
[11-26 08:50:42] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.882 (6.882), Lt: 6.189 (6.189), Acc m&t: 2.46 3.88, Remain: 1 day, 11:59:04, Finish: 2024-11-27 04:49
[11-26 08:50:42] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.882 (6.882), Lt: 6.189 (6.189), Acc m&t: 2.46 3.88, Remain: 1 day, 11:58:44, Finish: 2024-11-27 04:49
[11-26 08:50:42] (/home/user/VAR/train.py , line 276)=> [ep137] (training ) Lm: 6.882 (6.882), Lt: 6.189 (6.189), Acc m&t: 2.46 3.88, Remain: 1 day, 11:58:51, Finish: 2024-11-27 04:49
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:09:49 tlr: 0.00016 tnm: 0.38 Lm: 6.965 (6.965) Lt: 6.314 (6.314) Accm: 2.37 (2.37) Acct: 3.68 (3.68) proj_loss: -0.5998 (-0.5998) time: 0.3530 data: 0.0003
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:09:56 tlr: 0.00016 tnm: 0.38 Lm: 6.932 (6.932) Lt: 6.281 (6.281) Accm: 2.52 (2.52) Acct: 4.10 (4.10) proj_loss: -0.5870 (-0.5870) time: 0.3575 data: 0.0004
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:09:56 tlr: 0.00016 tnm: 0.38 Lm: 6.886 (6.886) Lt: 6.177 (6.177) Accm: 2.56 (2.56) Acct: 4.12 (4.12) proj_loss: -0.5755 (-0.5755) time: 0.3573 data: 0.0004
[11-26 08:50:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 0/1669] eta: 0:09:57 tlr: 0.00016 tnm: 0.38 Lm: 6.882 (6.882) Lt: 6.138 (6.138) Accm: 2.31 (2.31) Acct: 3.74 (3.74) proj_loss: -0.5685 (-0.5685) time: 0.3581 data: 0.0003
[11-26 08:53:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:08:11 tlr: 0.00016 tnm: 0.38 Lm: 6.957 (6.957) Lt: 6.234 (6.234) Accm: 2.18 (2.18) Acct: 3.51 (3.51) proj_loss: -0.5837 (-0.5837) time: 0.4127 data: 0.0003
[11-26 08:53:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:08:11 tlr: 0.00016 tnm: 0.38 Lm: 6.917 (6.917) Lt: 6.241 (6.241) Accm: 2.40 (2.40) Acct: 3.76 (3.76) proj_loss: -0.5870 (-0.5870) time: 0.4127 data: 0.0003
[11-26 08:53:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:08:11 tlr: 0.00016 tnm: 0.38 Lm: 6.985 (6.985) Lt: 6.313 (6.313) Accm: 2.44 (2.44) Acct: 3.73 (3.73) proj_loss: -0.5873 (-0.5873) time: 0.4127 data: 0.0003
[11-26 08:53:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 417/1669] eta: 0:08:11 tlr: 0.00016 tnm: 0.38 Lm: 6.895 (6.895) Lt: 6.221 (6.221) Accm: 2.40 (2.40) Acct: 3.81 (3.81) proj_loss: -0.5837 (-0.5837) time: 0.4127 data: 0.0003
[11-26 08:56:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:05:23 tlr: 0.00016 tnm: 0.36 Lm: 6.886 (6.861) Lt: 6.177 (6.187) Accm: 2.46 (2.42) Acct: 3.72 (3.78) proj_loss: -0.5786 (-0.5820) time: 0.3995 data: 0.0003
[11-26 08:56:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:05:23 tlr: 0.00016 tnm: 0.36 Lm: 7.028 (6.981) Lt: 6.331 (6.283) Accm: 2.09 (2.15) Acct: 3.34 (3.46) proj_loss: -0.5777 (-0.5817) time: 0.3995 data: 0.0003
[11-26 08:56:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:05:23 tlr: 0.00016 tnm: 0.36 Lm: 6.932 (6.933) Lt: 6.281 (6.274) Accm: 2.28 (2.35) Acct: 3.46 (3.66) proj_loss: -0.5870 (-0.5889) time: 0.3995 data: 0.0003
[11-26 08:56:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [ 834/1669] eta: 0:05:23 tlr: 0.00016 tnm: 0.36 Lm: 6.965 (6.965) Lt: 6.312 (6.292) Accm: 2.48 (2.45) Acct: 3.77 (3.76) proj_loss: -0.5950 (-0.5899) time: 0.3995 data: 0.0003
[11-26 08:58:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.36 Lm: 6.945 (6.954) Lt: 6.281 (6.272) Accm: 2.42 (2.39) Acct: 3.73 (3.64) proj_loss: -0.5882 (-0.5877) time: 0.3621 data: 0.0003
[11-26 08:58:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.36 Lm: 6.949 (6.943) Lt: 6.282 (6.276) Accm: 2.26 (2.29) Acct: 3.46 (3.61) proj_loss: -0.5898 (-0.5904) time: 0.3621 data: 0.0003
[11-26 08:58:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.36 Lm: 6.895 (6.872) Lt: 6.221 (6.210) Accm: 2.36 (2.38) Acct: 3.62 (3.71) proj_loss: -0.5829 (-0.5833) time: 0.3621 data: 0.0003
[11-26 08:58:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.36 Lm: 6.974 (6.966) Lt: 6.275 (6.268) Accm: 2.20 (2.25) Acct: 3.54 (3.59) proj_loss: -0.5793 (-0.5815) time: 0.3621 data: 0.0003
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.40 Lm: 6.920 (6.933) Lt: 6.220 (6.234) Accm: 2.31 (2.38) Acct: 3.74 (3.82) proj_loss: -0.5809 (-0.5822) time: 0.3613 data: 0.0021
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:10:26 (0.375 s / it)
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.40 Lm: 6.932 (6.928) Lt: 6.281 (6.248) Accm: 2.28 (2.32) Acct: 3.46 (3.66) proj_loss: -0.5926 (-0.5928) time: 0.3612 data: 0.0019
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.40 Lm: 6.925 (6.930) Lt: 6.250 (6.247) Accm: 2.38 (2.38) Acct: 3.68 (3.63) proj_loss: -0.5854 (-0.5873) time: 0.3613 data: 0.0013
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 138/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.40 Lm: 6.905 (6.882) Lt: 6.218 (6.211) Accm: 2.36 (2.38) Acct: 3.72 (3.74) proj_loss: -0.5841 (-0.5835) time: 0.3613 data: 0.0019
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:10:26 (0.375 s / it)
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:10:26 (0.375 s / it)
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 138/350] Total time: 0:10:26 (0.375 s / it)
[11-26 09:01:08] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.882 (6.890), Lt: 6.189 (6.200), Acc m&t: 2.46 3.88, Remain: 1 day, 11:29:22, Finish: 2024-11-27 04:30
[11-26 09:01:08] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.882 (6.890), Lt: 6.189 (6.200), Acc m&t: 2.46 3.88, Remain: 1 day, 11:29:37, Finish: 2024-11-27 04:30
[11-26 09:01:08] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.882 (6.890), Lt: 6.189 (6.200), Acc m&t: 2.46 3.88, Remain: 1 day, 11:29:35, Finish: 2024-11-27 04:30
[11-26 09:01:08] (/home/user/VAR/train.py , line 276)=> [ep138] (training ) Lm: 6.882 (6.890), Lt: 6.189 (6.200), Acc m&t: 2.46 3.88, Remain: 1 day, 11:28:19, Finish: 2024-11-27 04:29
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:09:52 tlr: 0.00016 tnm: 0.37 Lm: 6.818 (6.818) Lt: 6.146 (6.146) Accm: 2.43 (2.43) Acct: 4.05 (4.05) proj_loss: -0.5742 (-0.5742) time: 0.3549 data: 0.0003
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:09:41 tlr: 0.00016 tnm: 0.37 Lm: 6.947 (6.947) Lt: 6.296 (6.296) Accm: 2.38 (2.38) Acct: 3.82 (3.82) proj_loss: -0.5984 (-0.5984) time: 0.3482 data: 0.0003
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:09:54 tlr: 0.00016 tnm: 0.37 Lm: 7.030 (7.030) Lt: 6.369 (6.369) Accm: 2.29 (2.29) Acct: 3.50 (3.50) proj_loss: -0.5817 (-0.5817) time: 0.3559 data: 0.0004
[11-26 09:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 0/1669] eta: 0:09:54 tlr: 0.00016 tnm: 0.37 Lm: 6.792 (6.792) Lt: 6.137 (6.137) Accm: 2.47 (2.47) Acct: 3.56 (3.56) proj_loss: -0.5743 (-0.5743) time: 0.3560 data: 0.0004
[11-26 09:03:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.37 Lm: 6.928 (6.928) Lt: 6.243 (6.243) Accm: 2.28 (2.28) Acct: 3.51 (3.51) proj_loss: -0.5735 (-0.5735) time: 0.3630 data: 0.0003
[11-26 09:03:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.37 Lm: 6.957 (6.957) Lt: 6.281 (6.281) Accm: 2.34 (2.34) Acct: 3.67 (3.67) proj_loss: -0.5961 (-0.5961) time: 0.3630 data: 0.0003
[11-26 09:03:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.37 Lm: 6.972 (6.972) Lt: 6.307 (6.307) Accm: 2.40 (2.40) Acct: 3.67 (3.67) proj_loss: -0.5779 (-0.5779) time: 0.3630 data: 0.0003
[11-26 09:03:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 417/1669] eta: 0:07:32 tlr: 0.00016 tnm: 0.37 Lm: 6.847 (6.847) Lt: 6.154 (6.154) Accm: 2.37 (2.37) Acct: 3.85 (3.85) proj_loss: -0.5789 (-0.5789) time: 0.3630 data: 0.0003
[11-26 09:06:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.849 (6.848) Lt: 6.162 (6.159) Accm: 2.41 (2.38) Acct: 3.96 (3.89) proj_loss: -0.5793 (-0.5790) time: 0.3572 data: 0.0003
[11-26 09:06:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.947 (6.902) Lt: 6.266 (6.226) Accm: 2.38 (2.48) Acct: 3.82 (3.83) proj_loss: -0.5937 (-0.5948) time: 0.3572 data: 0.0002
[11-26 09:06:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.817 (6.891) Lt: 6.137 (6.203) Accm: 2.47 (2.45) Acct: 3.56 (3.79) proj_loss: -0.5743 (-0.5751) time: 0.3572 data: 0.0003
[11-26 09:06:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [ 834/1669] eta: 0:05:02 tlr: 0.00016 tnm: 0.38 Lm: 6.913 (6.915) Lt: 6.245 (6.224) Accm: 2.51 (2.59) Acct: 3.84 (3.99) proj_loss: -0.5741 (-0.5755) time: 0.3572 data: 0.0003
[11-26 09:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.858 (6.887) Lt: 6.156 (6.185) Accm: 2.60 (2.62) Acct: 4.22 (4.14) proj_loss: -0.5779 (-0.5770) time: 0.3576 data: 0.0003
[11-26 09:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.900 (6.889) Lt: 6.192 (6.195) Accm: 2.47 (2.50) Acct: 3.90 (3.87) proj_loss: -0.5930 (-0.5900) time: 0.3576 data: 0.0002
[11-26 09:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.834 (6.837) Lt: 6.154 (6.138) Accm: 2.42 (2.40) Acct: 3.83 (3.84) proj_loss: -0.5779 (-0.5784) time: 0.3576 data: 0.0003
[11-26 09:08:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1251/1669] eta: 0:02:31 tlr: 0.00016 tnm: 0.37 Lm: 6.855 (6.891) Lt: 6.170 (6.203) Accm: 2.37 (2.41) Acct: 3.59 (3.75) proj_loss: -0.5762 (-0.5778) time: 0.3576 data: 0.0003
[11-26 09:11:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.844 (6.882) Lt: 6.137 (6.188) Accm: 2.47 (2.43) Acct: 3.62 (3.79) proj_loss: -0.5782 (-0.5788) time: 0.3645 data: 0.0019
[11-26 09:11:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:10:03 (0.362 s / it)
[11-26 09:11:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.853 (6.854) Lt: 6.117 (6.166) Accm: 2.56 (2.59) Acct: 3.98 (4.00) proj_loss: -0.5937 (-0.5915) time: 0.3644 data: 0.0020
[11-26 09:11:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.849 (6.847) Lt: 6.162 (6.152) Accm: 2.43 (2.43) Acct: 3.91 (3.85) proj_loss: -0.5765 (-0.5760) time: 0.3644 data: 0.0014
[11-26 09:11:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 139/350] [1668/1669] eta: 0:00:00 tlr: 0.00016 tnm: 0.36 Lm: 6.802 (6.849) Lt: 6.067 (6.152) Accm: 2.70 (2.69) Acct: 4.42 (4.20) proj_loss: -0.5817 (-0.5806) time: 0.3644 data: 0.0019
[11-26 09:11:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:10:03 (0.362 s / it)
[11-26 09:11:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:10:03 (0.362 s / it)
[11-26 09:11:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 139/350] Total time: 0:10:03 (0.362 s / it)
[11-26 09:13:22] (home/user/VAR/trainer.py, line 114)=> FID: 5.013330532051555
[11-26 09:13:22] (/home/user/VAR/train.py , line 259)=> [*] [ep139] (val 50000) Lm: 6.8831, Lt: 6.1866, Acc m&t: 2.46 3.88, Val cost: 130.57s
[11-26 09:13:22] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 09:13:31] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.882 (6.883), Lt: 6.187 (6.187), Acc m&t: 2.46 3.88, Remain: 1 day, 11:35:40, Finish: 2024-11-27 04:46
[11-26 09:13:31] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.882 (6.883), Lt: 6.187 (6.187), Acc m&t: 2.46 3.88, Remain: 1 day, 11:35:53, Finish: 2024-11-27 04:47
[11-26 09:13:31] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.882 (6.883), Lt: 6.187 (6.187), Acc m&t: 2.46 3.88, Remain: 1 day, 11:35:38, Finish: 2024-11-27 04:46
[11-26 09:13:31] (/home/user/VAR/train.py , line 276)=> [ep139] (training ) Lm: 6.882 (6.883), Lt: 6.187 (6.187), Acc m&t: 2.46 3.88, Remain: 1 day, 11:35:41, Finish: 2024-11-27 04:46
[11-26 09:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:10:07 tlr: 0.00016 tnm: 0.36 Lm: 7.016 (7.016) Lt: 6.314 (6.314) Accm: 2.09 (2.09) Acct: 3.27 (3.27) proj_loss: -0.5620 (-0.5620) time: 0.3638 data: 0.0003
[11-26 09:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:10:05 tlr: 0.00016 tnm: 0.36 Lm: 6.769 (6.769) Lt: 6.006 (6.006) Accm: 2.77 (2.77) Acct: 4.53 (4.53) proj_loss: -0.5854 (-0.5854) time: 0.3628 data: 0.0004
[11-26 09:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:10:05 tlr: 0.00016 tnm: 0.36 Lm: 6.860 (6.860) Lt: 6.146 (6.146) Accm: 2.45 (2.45) Acct: 3.84 (3.84) proj_loss: -0.5680 (-0.5680) time: 0.3628 data: 0.0004
[11-26 09:13:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 0/1669] eta: 0:10:04 tlr: 0.00016 tnm: 0.36 Lm: 6.946 (6.946) Lt: 6.299 (6.299) Accm: 2.39 (2.39) Acct: 3.77 (3.77) proj_loss: -0.5992 (-0.5992) time: 0.3623 data: 0.0004
[11-26 09:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.39 Lm: 6.932 (6.932) Lt: 6.258 (6.258) Accm: 2.38 (2.38) Acct: 3.87 (3.87) proj_loss: -0.5872 (-0.5872) time: 0.3605 data: 0.0003
[11-26 09:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.39 Lm: 6.847 (6.847) Lt: 6.106 (6.106) Accm: 2.55 (2.55) Acct: 4.05 (4.05) proj_loss: -0.5812 (-0.5812) time: 0.3605 data: 0.0003
[11-26 09:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.39 Lm: 6.960 (6.960) Lt: 6.285 (6.285) Accm: 2.18 (2.18) Acct: 3.39 (3.39) proj_loss: -0.5757 (-0.5757) time: 0.3605 data: 0.0003
[11-26 09:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 417/1669] eta: 0:07:31 tlr: 0.00016 tnm: 0.39 Lm: 6.856 (6.856) Lt: 6.166 (6.166) Accm: 2.52 (2.52) Acct: 3.94 (3.94) proj_loss: -0.5853 (-0.5853) time: 0.3605 data: 0.0003
[11-26 09:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:05:00 tlr: 0.00016 tnm: 0.38 Lm: 6.860 (6.859) Lt: 6.151 (6.161) Accm: 2.47 (2.51) Acct: 4.05 (4.01) proj_loss: -0.6025 (-0.5934) time: 0.3587 data: 0.0002
[11-26 09:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:05:00 tlr: 0.00016 tnm: 0.38 Lm: 6.801 (6.832) Lt: 6.068 (6.094) Accm: 2.55 (2.55) Acct: 4.24 (4.11) proj_loss: -0.5825 (-0.5817) time: 0.3587 data: 0.0003
[11-26 09:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:05:00 tlr: 0.00016 tnm: 0.38 Lm: 6.918 (6.925) Lt: 6.222 (6.246) Accm: 2.39 (2.42) Acct: 3.77 (3.83) proj_loss: -0.5890 (-0.5878) time: 0.3587 data: 0.0003
[11-26 09:18:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [ 834/1669] eta: 0:05:00 tlr: 0.00016 tnm: 0.38 Lm: 6.904 (6.932) Lt: 6.256 (6.247) Accm: 2.27 (2.27) Acct: 3.51 (3.60) proj_loss: -0.5895 (-0.5815) time: 0.3587 data: 0.0003
[11-26 09:21:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.37 Lm: 6.915 (6.931) Lt: 6.255 (6.249) Accm: 2.24 (2.26) Acct: 3.57 (3.61) proj_loss: -0.5900 (-0.5837) time: 0.4513 data: 0.0003
[11-26 09:21:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.37 Lm: 6.860 (6.853) Lt: 6.137 (6.132) Accm: 2.44 (2.46) Acct: 3.90 (3.93) proj_loss: -0.5840 (-0.5840) time: 0.4513 data: 0.0003
[11-26 09:21:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.37 Lm: 6.862 (6.879) Lt: 6.169 (6.203) Accm: 2.46 (2.45) Acct: 3.94 (3.87) proj_loss: -0.6003 (-0.5945) time: 0.4513 data: 0.0002
[11-26 09:21:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1251/1669] eta: 0:02:32 tlr: 0.00015 tnm: 0.37 Lm: 6.927 (6.927) Lt: 6.233 (6.246) Accm: 2.43 (2.43) Acct: 3.80 (3.83) proj_loss: -0.5941 (-0.5908) time: 0.4513 data: 0.0003
[11-26 09:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.37 Lm: 6.801 (6.842) Lt: 6.074 (6.120) Accm: 2.48 (2.46) Acct: 3.98 (3.94) proj_loss: -0.5825 (-0.5801) time: 0.4054 data: 0.0017
[11-26 09:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.37 Lm: 6.918 (6.911) Lt: 6.222 (6.222) Accm: 2.47 (2.45) Acct: 3.82 (3.86) proj_loss: -0.5890 (-0.5860) time: 0.4054 data: 0.0019
[11-26 09:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.37 Lm: 6.864 (6.883) Lt: 6.187 (6.203) Accm: 2.45 (2.45) Acct: 3.84 (3.83) proj_loss: -0.5980 (-0.5937) time: 0.4054 data: 0.0015
[11-26 09:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 140/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.37 Lm: 6.904 (6.925) Lt: 6.254 (6.247) Accm: 2.27 (2.28) Acct: 3.63 (3.64) proj_loss: -0.5895 (-0.5848) time: 0.4054 data: 0.0016
[11-26 09:23:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:10:16 (0.369 s / it)
[11-26 09:23:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:10:16 (0.369 s / it)
[11-26 09:23:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:10:16 (0.369 s / it)
[11-26 09:23:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 140/350] Total time: 0:10:16 (0.369 s / it)
[11-26 09:23:47] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.882 (6.888), Lt: 6.187 (6.196), Acc m&t: 2.46 3.88, Remain: 1 day, 11:25:29, Finish: 2024-11-27 04:49
[11-26 09:23:47] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.882 (6.888), Lt: 6.187 (6.196), Acc m&t: 2.46 3.88, Remain: 1 day, 11:25:50, Finish: 2024-11-27 04:49
[11-26 09:23:47] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.882 (6.888), Lt: 6.187 (6.196), Acc m&t: 2.46 3.88, Remain: 1 day, 11:25:20, Finish: 2024-11-27 04:49
[11-26 09:23:47] (/home/user/VAR/train.py , line 276)=> [ep140] (training ) Lm: 6.882 (6.888), Lt: 6.187 (6.196), Acc m&t: 2.46 3.88, Remain: 1 day, 11:26:17, Finish: 2024-11-27 04:50
[11-26 09:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:10:13 tlr: 0.00015 tnm: 0.35 Lm: 6.918 (6.918) Lt: 6.240 (6.240) Accm: 2.35 (2.35) Acct: 3.72 (3.72) proj_loss: -0.5999 (-0.5999) time: 0.3675 data: 0.0004
[11-26 09:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:09:31 tlr: 0.00015 tnm: 0.35 Lm: 6.857 (6.857) Lt: 6.128 (6.128) Accm: 2.60 (2.60) Acct: 4.13 (4.13) proj_loss: -0.5657 (-0.5657) time: 0.3425 data: 0.0004
[11-26 09:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:09:31 tlr: 0.00015 tnm: 0.35 Lm: 6.960 (6.960) Lt: 6.281 (6.281) Accm: 2.23 (2.23) Acct: 3.37 (3.37) proj_loss: -0.5787 (-0.5787) time: 0.3424 data: 0.0004
[11-26 09:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 0/1669] eta: 0:09:31 tlr: 0.00015 tnm: 0.35 Lm: 6.855 (6.855) Lt: 6.166 (6.166) Accm: 2.36 (2.36) Acct: 3.70 (3.70) proj_loss: -0.5740 (-0.5740) time: 0.3424 data: 0.0004
[11-26 09:26:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:08:02 tlr: 0.00015 tnm: 0.38 Lm: 6.886 (6.886) Lt: 6.187 (6.187) Accm: 2.33 (2.33) Acct: 3.70 (3.70) proj_loss: -0.5753 (-0.5753) time: 0.3611 data: 0.0003
[11-26 09:26:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:08:02 tlr: 0.00015 tnm: 0.38 Lm: 6.955 (6.955) Lt: 6.257 (6.257) Accm: 2.29 (2.29) Acct: 3.54 (3.54) proj_loss: -0.5815 (-0.5815) time: 0.3611 data: 0.0003
[11-26 09:26:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:08:02 tlr: 0.00015 tnm: 0.38 Lm: 6.871 (6.871) Lt: 6.165 (6.165) Accm: 2.38 (2.38) Acct: 3.82 (3.82) proj_loss: -0.5731 (-0.5731) time: 0.3611 data: 0.0003
[11-26 09:26:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 417/1669] eta: 0:08:03 tlr: 0.00015 tnm: 0.38 Lm: 6.914 (6.914) Lt: 6.202 (6.202) Accm: 2.44 (2.44) Acct: 3.93 (3.93) proj_loss: -0.5882 (-0.5882) time: 0.3611 data: 0.0003
[11-26 09:29:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:05:16 tlr: 0.00015 tnm: 0.38 Lm: 6.918 (6.924) Lt: 6.240 (6.217) Accm: 2.35 (2.33) Acct: 3.72 (3.79) proj_loss: -0.5765 (-0.5825) time: 0.3608 data: 0.0002
[11-26 09:29:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:05:16 tlr: 0.00015 tnm: 0.38 Lm: 6.950 (6.926) Lt: 6.233 (6.221) Accm: 2.35 (2.33) Acct: 3.70 (3.67) proj_loss: -0.5787 (-0.5737) time: 0.3608 data: 0.0002
[11-26 09:29:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:05:16 tlr: 0.00015 tnm: 0.38 Lm: 6.893 (6.888) Lt: 6.187 (6.187) Accm: 2.36 (2.39) Acct: 3.70 (3.71) proj_loss: -0.5740 (-0.5656) time: 0.3608 data: 0.0003
[11-26 09:29:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [ 834/1669] eta: 0:05:16 tlr: 0.00015 tnm: 0.38 Lm: 6.885 (6.904) Lt: 6.202 (6.190) Accm: 2.28 (2.35) Acct: 3.62 (3.75) proj_loss: -0.5657 (-0.5682) time: 0.3608 data: 0.0003
[11-26 09:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:02:36 tlr: 0.00015 tnm: 0.39 Lm: 6.871 (6.857) Lt: 6.165 (6.147) Accm: 2.44 (2.53) Acct: 3.87 (4.04) proj_loss: -0.5723 (-0.5709) time: 0.3612 data: 0.0002
[11-26 09:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:02:36 tlr: 0.00015 tnm: 0.39 Lm: 6.955 (6.938) Lt: 6.257 (6.236) Accm: 2.29 (2.28) Acct: 3.55 (3.60) proj_loss: -0.5757 (-0.5735) time: 0.3612 data: 0.0002
[11-26 09:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:02:36 tlr: 0.00015 tnm: 0.39 Lm: 6.914 (6.887) Lt: 6.202 (6.184) Accm: 2.44 (2.43) Acct: 3.93 (3.89) proj_loss: -0.5759 (-0.5807) time: 0.3612 data: 0.0003
[11-26 09:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1251/1669] eta: 0:02:36 tlr: 0.00015 tnm: 0.39 Lm: 6.905 (6.913) Lt: 6.198 (6.216) Accm: 2.33 (2.31) Acct: 3.70 (3.58) proj_loss: -0.5753 (-0.5751) time: 0.3612 data: 0.0003
[11-26 09:34:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.916 (6.918) Lt: 6.208 (6.226) Accm: 2.31 (2.28) Acct: 3.70 (3.53) proj_loss: -0.5740 (-0.5727) time: 0.3615 data: 0.0016
[11-26 09:34:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:10:17 (0.370 s / it)
[11-26 09:34:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.960 (6.945) Lt: 6.281 (6.260) Accm: 2.23 (2.26) Acct: 3.39 (3.55) proj_loss: -0.5787 (-0.5765) time: 0.3615 data: 0.0016
[11-26 09:34:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.857 (6.856) Lt: 6.150 (6.148) Accm: 2.48 (2.52) Acct: 3.89 (4.01) proj_loss: -0.5675 (-0.5702) time: 0.3615 data: 0.0020
[11-26 09:34:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 141/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.910 (6.883) Lt: 6.180 (6.183) Accm: 2.49 (2.44) Acct: 3.79 (3.87) proj_loss: -0.5752 (-0.5773) time: 0.3615 data: 0.0017
[11-26 09:34:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:10:17 (0.370 s / it)
[11-26 09:34:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:10:17 (0.370 s / it)
[11-26 09:34:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 141/350] Total time: 0:10:17 (0.370 s / it)
[11-26 09:34:05] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.882 (6.884), Lt: 6.187 (6.197), Acc m&t: 2.46 3.88, Remain: 1 day, 11:00:59, Finish: 2024-11-27 04:35
[11-26 09:34:05] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.882 (6.884), Lt: 6.187 (6.197), Acc m&t: 2.46 3.88, Remain: 1 day, 11:01:08, Finish: 2024-11-27 04:35
[11-26 09:34:05] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.882 (6.884), Lt: 6.187 (6.197), Acc m&t: 2.46 3.88, Remain: 1 day, 11:01:01, Finish: 2024-11-27 04:35
[11-26 09:34:05] (/home/user/VAR/train.py , line 276)=> [ep141] (training ) Lm: 6.882 (6.884), Lt: 6.187 (6.197), Acc m&t: 2.46 3.88, Remain: 1 day, 10:59:58, Finish: 2024-11-27 04:34
[11-26 09:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:09:29 tlr: 0.00015 tnm: 0.37 Lm: 6.761 (6.761) Lt: 6.081 (6.081) Accm: 2.69 (2.69) Acct: 4.32 (4.32) proj_loss: -0.5882 (-0.5882) time: 0.3410 data: 0.0003
[11-26 09:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:09:28 tlr: 0.00015 tnm: 0.37 Lm: 6.829 (6.829) Lt: 6.177 (6.177) Accm: 2.32 (2.32) Acct: 3.63 (3.63) proj_loss: -0.5936 (-0.5936) time: 0.3408 data: 0.0003
[11-26 09:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:09:47 tlr: 0.00015 tnm: 0.37 Lm: 6.867 (6.867) Lt: 6.155 (6.155) Accm: 2.52 (2.52) Acct: 4.17 (4.17) proj_loss: -0.5678 (-0.5678) time: 0.3519 data: 0.0004
[11-26 09:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 0/1669] eta: 0:09:29 tlr: 0.00015 tnm: 0.37 Lm: 6.880 (6.880) Lt: 6.177 (6.177) Accm: 2.53 (2.53) Acct: 3.99 (3.99) proj_loss: -0.5993 (-0.5993) time: 0.3415 data: 0.0004
[11-26 09:36:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:07:30 tlr: 0.00015 tnm: 0.42 Lm: 6.909 (6.909) Lt: 6.219 (6.219) Accm: 2.43 (2.43) Acct: 3.85 (3.85) proj_loss: -0.5892 (-0.5892) time: 0.3601 data: 0.0003
[11-26 09:36:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:07:30 tlr: 0.00015 tnm: 0.42 Lm: 6.795 (6.795) Lt: 6.098 (6.098) Accm: 2.57 (2.57) Acct: 4.06 (4.06) proj_loss: -0.5835 (-0.5835) time: 0.3601 data: 0.0003
[11-26 09:36:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:07:30 tlr: 0.00015 tnm: 0.42 Lm: 6.865 (6.865) Lt: 6.198 (6.198) Accm: 2.36 (2.36) Acct: 3.77 (3.77) proj_loss: -0.5942 (-0.5942) time: 0.3601 data: 0.0002
[11-26 09:36:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 417/1669] eta: 0:07:30 tlr: 0.00015 tnm: 0.42 Lm: 6.844 (6.844) Lt: 6.104 (6.104) Accm: 2.63 (2.63) Acct: 4.28 (4.28) proj_loss: -0.5680 (-0.5680) time: 0.3601 data: 0.0003
[11-26 09:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.36 Lm: 6.867 (6.875) Lt: 6.155 (6.146) Accm: 2.52 (2.56) Acct: 4.17 (4.14) proj_loss: -0.5678 (-0.5657) time: 0.3613 data: 0.0002
[11-26 09:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.36 Lm: 6.938 (6.929) Lt: 6.262 (6.247) Accm: 2.32 (2.35) Acct: 3.70 (3.76) proj_loss: -0.5791 (-0.5827) time: 0.3613 data: 0.0003
[11-26 09:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.36 Lm: 6.829 (6.829) Lt: 6.115 (6.143) Accm: 2.45 (2.52) Acct: 3.81 (3.91) proj_loss: -0.5882 (-0.5859) time: 0.3613 data: 0.0002
[11-26 09:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.36 Lm: 6.901 (6.902) Lt: 6.219 (6.233) Accm: 2.32 (2.28) Acct: 3.63 (3.57) proj_loss: -0.5936 (-0.5918) time: 0.3613 data: 0.0003
[11-26 09:41:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.930 (6.916) Lt: 6.240 (6.240) Accm: 2.32 (2.29) Acct: 3.63 (3.59) proj_loss: -0.5903 (-0.5877) time: 0.3608 data: 0.0003
[11-26 09:41:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.850 (6.840) Lt: 6.151 (6.154) Accm: 2.45 (2.50) Acct: 3.85 (3.91) proj_loss: -0.5895 (-0.5875) time: 0.3608 data: 0.0003
[11-26 09:41:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.943 (6.933) Lt: 6.247 (6.243) Accm: 2.27 (2.31) Acct: 3.65 (3.69) proj_loss: -0.5748 (-0.5796) time: 0.3608 data: 0.0003
[11-26 09:41:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.40 Lm: 6.857 (6.868) Lt: 6.147 (6.145) Accm: 2.49 (2.53) Acct: 4.01 (4.00) proj_loss: -0.5680 (-0.5731) time: 0.3608 data: 0.0003
[11-26 09:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.867 (6.883) Lt: 6.155 (6.169) Accm: 2.45 (2.45) Acct: 3.86 (3.89) proj_loss: -0.5682 (-0.5744) time: 0.3655 data: 0.0016
[11-26 09:44:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:10:03 (0.361 s / it)
[11-26 09:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.829 (6.831) Lt: 6.183 (6.160) Accm: 2.45 (2.47) Acct: 3.81 (3.85) proj_loss: -0.5882 (-0.5875) time: 0.3654 data: 0.0020
[11-26 09:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.901 (6.913) Lt: 6.219 (6.232) Accm: 2.32 (2.30) Acct: 3.63 (3.58) proj_loss: -0.5870 (-0.5863) time: 0.3654 data: 0.0020
[11-26 09:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 142/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.938 (6.913) Lt: 6.231 (6.212) Accm: 2.32 (2.36) Acct: 3.70 (3.79) proj_loss: -0.5791 (-0.5802) time: 0.3655 data: 0.0016
[11-26 09:44:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:10:03 (0.361 s / it)
[11-26 09:44:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:10:03 (0.361 s / it)
[11-26 09:44:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 142/350] Total time: 0:10:03 (0.361 s / it)
[11-26 09:44:08] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.882 (6.900), Lt: 6.187 (6.211), Acc m&t: 2.46 3.88, Remain: 1 day, 11:04:53, Finish: 2024-11-27 04:49
[11-26 09:44:08] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.882 (6.900), Lt: 6.187 (6.211), Acc m&t: 2.46 3.88, Remain: 1 day, 11:06:13, Finish: 2024-11-27 04:50
[11-26 09:44:08] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.882 (6.900), Lt: 6.187 (6.211), Acc m&t: 2.46 3.88, Remain: 1 day, 11:06:18, Finish: 2024-11-27 04:50
[11-26 09:44:08] (/home/user/VAR/train.py , line 276)=> [ep142] (training ) Lm: 6.882 (6.900), Lt: 6.187 (6.211), Acc m&t: 2.46 3.88, Remain: 1 day, 11:05:08, Finish: 2024-11-27 04:49
[11-26 09:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:09:31 tlr: 0.00015 tnm: 0.36 Lm: 6.934 (6.934) Lt: 6.239 (6.239) Accm: 2.16 (2.16) Acct: 3.46 (3.46) proj_loss: -0.5666 (-0.5666) time: 0.3425 data: 0.0003
[11-26 09:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:09:33 tlr: 0.00015 tnm: 0.36 Lm: 6.934 (6.934) Lt: 6.228 (6.228) Accm: 2.13 (2.13) Acct: 3.60 (3.60) proj_loss: -0.5718 (-0.5718) time: 0.3438 data: 0.0004
[11-26 09:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:09:33 tlr: 0.00015 tnm: 0.36 Lm: 6.915 (6.915) Lt: 6.204 (6.204) Accm: 2.59 (2.59) Acct: 4.34 (4.34) proj_loss: -0.5802 (-0.5802) time: 0.3433 data: 0.0003
[11-26 09:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 0/1669] eta: 0:10:06 tlr: 0.00015 tnm: 0.36 Lm: 7.041 (7.041) Lt: 6.359 (6.359) Accm: 2.15 (2.15) Acct: 3.41 (3.41) proj_loss: -0.5623 (-0.5623) time: 0.3634 data: 0.0004
[11-26 09:46:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.38 Lm: 6.994 (6.994) Lt: 6.309 (6.309) Accm: 2.19 (2.19) Acct: 3.54 (3.54) proj_loss: -0.5818 (-0.5818) time: 0.3618 data: 0.0003
[11-26 09:46:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.38 Lm: 6.916 (6.916) Lt: 6.218 (6.218) Accm: 2.30 (2.30) Acct: 3.82 (3.82) proj_loss: -0.5784 (-0.5784) time: 0.3618 data: 0.0003
[11-26 09:46:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.38 Lm: 6.927 (6.927) Lt: 6.215 (6.215) Accm: 2.35 (2.35) Acct: 3.87 (3.87) proj_loss: -0.5685 (-0.5685) time: 0.3618 data: 0.0002
[11-26 09:46:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.38 Lm: 6.964 (6.964) Lt: 6.286 (6.286) Accm: 2.43 (2.43) Acct: 3.99 (3.99) proj_loss: -0.5920 (-0.5920) time: 0.3618 data: 0.0003
[11-26 09:49:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.36 Lm: 6.915 (6.915) Lt: 6.204 (6.234) Accm: 2.59 (2.51) Acct: 4.06 (4.01) proj_loss: -0.5832 (-0.5891) time: 0.3608 data: 0.0003
[11-26 09:49:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.36 Lm: 6.948 (6.941) Lt: 6.258 (6.232) Accm: 2.23 (2.25) Acct: 3.67 (3.59) proj_loss: -0.5812 (-0.5816) time: 0.3608 data: 0.0003
[11-26 09:49:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.36 Lm: 6.897 (6.830) Lt: 6.208 (6.131) Accm: 2.48 (2.54) Acct: 4.05 (4.09) proj_loss: -0.5851 (-0.5837) time: 0.3609 data: 0.0003
[11-26 09:49:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.36 Lm: 6.934 (6.930) Lt: 6.235 (6.222) Accm: 2.42 (2.37) Acct: 3.70 (3.82) proj_loss: -0.5704 (-0.5773) time: 0.3608 data: 0.0003
[11-26 09:51:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:02:33 tlr: 0.00015 tnm: 0.38 Lm: 6.927 (6.893) Lt: 6.213 (6.177) Accm: 2.48 (2.52) Acct: 3.99 (4.05) proj_loss: -0.5740 (-0.5773) time: 0.3613 data: 0.0003
[11-26 09:51:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:02:33 tlr: 0.00015 tnm: 0.38 Lm: 6.914 (6.856) Lt: 6.197 (6.145) Accm: 2.52 (2.54) Acct: 3.97 (4.04) proj_loss: -0.5784 (-0.5806) time: 0.3613 data: 0.0003
[11-26 09:51:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:02:33 tlr: 0.00015 tnm: 0.38 Lm: 6.990 (6.964) Lt: 6.298 (6.259) Accm: 2.19 (2.19) Acct: 3.54 (3.53) proj_loss: -0.5810 (-0.5814) time: 0.3613 data: 0.0002
[11-26 09:51:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1251/1669] eta: 0:02:33 tlr: 0.00015 tnm: 0.38 Lm: 6.915 (6.915) Lt: 6.205 (6.227) Accm: 2.51 (2.49) Acct: 3.98 (3.98) proj_loss: -0.5829 (-0.5874) time: 0.3612 data: 0.0003
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.914 (6.897) Lt: 6.204 (6.207) Accm: 2.59 (2.51) Acct: 4.06 (4.02) proj_loss: -0.5826 (-0.5859) time: 0.4099 data: 0.0020
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:10:20 (0.372 s / it)
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.921 (6.874) Lt: 6.191 (6.159) Accm: 2.54 (2.57) Acct: 4.29 (4.11) proj_loss: -0.5775 (-0.5782) time: 0.4099 data: 0.0014
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.948 (6.923) Lt: 6.258 (6.212) Accm: 2.23 (2.29) Acct: 3.67 (3.75) proj_loss: -0.5812 (-0.5842) time: 0.4099 data: 0.0016
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 143/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.897 (6.863) Lt: 6.191 (6.154) Accm: 2.56 (2.57) Acct: 4.05 (4.12) proj_loss: -0.5851 (-0.5832) time: 0.4099 data: 0.0019
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:10:20 (0.372 s / it)
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:10:20 (0.372 s / it)
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 143/350] Total time: 0:10:20 (0.372 s / it)
[11-26 09:54:29] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.882 (6.888), Lt: 6.187 (6.190), Acc m&t: 2.46 3.88, Remain: 1 day, 10:45:58, Finish: 2024-11-27 04:40
[11-26 09:54:29] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.882 (6.888), Lt: 6.187 (6.190), Acc m&t: 2.46 3.88, Remain: 1 day, 10:44:41, Finish: 2024-11-27 04:39
[11-26 09:54:29] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.882 (6.888), Lt: 6.187 (6.190), Acc m&t: 2.46 3.88, Remain: 1 day, 10:45:26, Finish: 2024-11-27 04:39
[11-26 09:54:29] (/home/user/VAR/train.py , line 276)=> [ep143] (training ) Lm: 6.882 (6.888), Lt: 6.187 (6.190), Acc m&t: 2.46 3.88, Remain: 1 day, 10:43:56, Finish: 2024-11-27 04:38
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:09:46 tlr: 0.00015 tnm: 0.38 Lm: 6.886 (6.886) Lt: 6.172 (6.172) Accm: 2.38 (2.38) Acct: 3.84 (3.84) proj_loss: -0.5916 (-0.5916) time: 0.3512 data: 0.0004
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:09:46 tlr: 0.00015 tnm: 0.38 Lm: 6.970 (6.970) Lt: 6.355 (6.355) Accm: 2.45 (2.45) Acct: 3.75 (3.75) proj_loss: -0.5839 (-0.5839) time: 0.3516 data: 0.0004
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:09:47 tlr: 0.00015 tnm: 0.38 Lm: 6.852 (6.852) Lt: 6.146 (6.146) Accm: 2.32 (2.32) Acct: 3.62 (3.62) proj_loss: -0.5994 (-0.5994) time: 0.3520 data: 0.0004
[11-26 09:54:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 0/1669] eta: 0:09:47 tlr: 0.00015 tnm: 0.38 Lm: 6.891 (6.891) Lt: 6.112 (6.112) Accm: 2.35 (2.35) Acct: 3.87 (3.87) proj_loss: -0.5712 (-0.5712) time: 0.3522 data: 0.0004
[11-26 09:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:07:58 tlr: 0.00015 tnm: 0.39 Lm: 6.906 (6.906) Lt: 6.163 (6.163) Accm: 2.41 (2.41) Acct: 3.89 (3.89) proj_loss: -0.5666 (-0.5666) time: 0.3631 data: 0.0003
[11-26 09:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:07:58 tlr: 0.00015 tnm: 0.39 Lm: 6.863 (6.863) Lt: 6.179 (6.179) Accm: 2.68 (2.68) Acct: 4.26 (4.26) proj_loss: -0.5992 (-0.5992) time: 0.3631 data: 0.0003
[11-26 09:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:07:58 tlr: 0.00015 tnm: 0.39 Lm: 6.858 (6.858) Lt: 6.150 (6.150) Accm: 2.40 (2.40) Acct: 3.92 (3.92) proj_loss: -0.5933 (-0.5933) time: 0.3631 data: 0.0003
[11-26 09:57:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 417/1669] eta: 0:07:58 tlr: 0.00015 tnm: 0.39 Lm: 6.850 (6.850) Lt: 6.129 (6.129) Accm: 2.46 (2.46) Acct: 4.12 (4.12) proj_loss: -0.5849 (-0.5849) time: 0.3631 data: 0.0003
[11-26 09:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:05:12 tlr: 0.00015 tnm: 0.37 Lm: 6.886 (6.871) Lt: 6.172 (6.165) Accm: 2.38 (2.43) Acct: 3.84 (3.98) proj_loss: -0.5916 (-0.5878) time: 0.3596 data: 0.0003
[11-26 09:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:05:12 tlr: 0.00015 tnm: 0.37 Lm: 6.857 (6.861) Lt: 6.127 (6.162) Accm: 2.62 (2.66) Acct: 4.24 (4.25) proj_loss: -0.5891 (-0.5958) time: 0.3596 data: 0.0003
[11-26 09:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:05:12 tlr: 0.00015 tnm: 0.37 Lm: 6.864 (6.864) Lt: 6.153 (6.170) Accm: 2.37 (2.39) Acct: 3.70 (3.85) proj_loss: -0.5922 (-0.5930) time: 0.3596 data: 0.0003
[11-26 09:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [ 834/1669] eta: 0:05:12 tlr: 0.00015 tnm: 0.37 Lm: 6.891 (6.876) Lt: 6.112 (6.146) Accm: 2.46 (2.48) Acct: 3.91 (3.99) proj_loss: -0.5712 (-0.5731) time: 0.3596 data: 0.0003
[11-26 10:02:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:02:34 tlr: 0.00015 tnm: 0.38 Lm: 6.882 (6.875) Lt: 6.164 (6.172) Accm: 2.41 (2.45) Acct: 3.89 (3.87) proj_loss: -0.5767 (-0.5754) time: 0.3592 data: 0.0003
[11-26 10:02:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:02:34 tlr: 0.00015 tnm: 0.38 Lm: 6.849 (6.856) Lt: 6.110 (6.145) Accm: 2.53 (2.59) Acct: 4.02 (4.14) proj_loss: -0.5865 (-0.5877) time: 0.3592 data: 0.0003
[11-26 10:02:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:02:34 tlr: 0.00015 tnm: 0.38 Lm: 6.858 (6.843) Lt: 6.150 (6.137) Accm: 2.42 (2.48) Acct: 3.96 (3.95) proj_loss: -0.5898 (-0.5871) time: 0.3592 data: 0.0003
[11-26 10:02:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1251/1669] eta: 0:02:34 tlr: 0.00015 tnm: 0.38 Lm: 6.860 (6.862) Lt: 6.150 (6.156) Accm: 2.41 (2.43) Acct: 3.88 (3.97) proj_loss: -0.5914 (-0.5886) time: 0.3592 data: 0.0003
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.886 (6.870) Lt: 6.172 (6.172) Accm: 2.40 (2.43) Acct: 3.84 (3.93) proj_loss: -0.5916 (-0.5927) time: 0.3606 data: 0.0019
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:10:14 (0.368 s / it)
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.857 (6.870) Lt: 6.127 (6.151) Accm: 2.45 (2.53) Acct: 3.81 (4.06) proj_loss: -0.5864 (-0.5875) time: 0.3606 data: 0.0018
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.891 (6.886) Lt: 6.198 (6.177) Accm: 2.41 (2.44) Acct: 3.87 (3.87) proj_loss: -0.5756 (-0.5754) time: 0.3606 data: 0.0018
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 144/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.864 (6.850) Lt: 6.147 (6.139) Accm: 2.48 (2.49) Acct: 4.20 (4.00) proj_loss: -0.5873 (-0.5853) time: 0.3606 data: 0.0019
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:10:14 (0.368 s / it)
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:10:14 (0.368 s / it)
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 144/350] Total time: 0:10:14 (0.368 s / it)
[11-26 10:04:43] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.882 (6.883), Lt: 6.187 (6.188), Acc m&t: 2.47 3.90, Remain: 1 day, 10:30:54, Finish: 2024-11-27 04:35
[11-26 10:04:43] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.882 (6.883), Lt: 6.187 (6.188), Acc m&t: 2.47 3.90, Remain: 1 day, 10:31:36, Finish: 2024-11-27 04:36
[11-26 10:04:43] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.882 (6.883), Lt: 6.187 (6.188), Acc m&t: 2.47 3.90, Remain: 1 day, 10:31:41, Finish: 2024-11-27 04:36
[11-26 10:04:43] (/home/user/VAR/train.py , line 276)=> [ep144] (training ) Lm: 6.882 (6.883), Lt: 6.187 (6.188), Acc m&t: 2.47 3.90, Remain: 1 day, 10:30:32, Finish: 2024-11-27 04:35
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:09:55 tlr: 0.00015 tnm: 0.38 Lm: 6.750 (6.750) Lt: 5.985 (5.985) Accm: 2.64 (2.64) Acct: 4.22 (4.22) proj_loss: -0.5841 (-0.5841) time: 0.3569 data: 0.0004
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:09:58 tlr: 0.00015 tnm: 0.38 Lm: 6.902 (6.902) Lt: 6.191 (6.191) Accm: 2.51 (2.51) Acct: 3.94 (3.94) proj_loss: -0.5630 (-0.5630) time: 0.3584 data: 0.0004
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:09:58 tlr: 0.00015 tnm: 0.38 Lm: 7.050 (7.050) Lt: 6.399 (6.399) Accm: 2.30 (2.30) Acct: 3.56 (3.56) proj_loss: -0.5772 (-0.5772) time: 0.3587 data: 0.0003
[11-26 10:04:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 0/1669] eta: 0:09:58 tlr: 0.00015 tnm: 0.38 Lm: 6.899 (6.899) Lt: 6.206 (6.206) Accm: 2.54 (2.54) Acct: 3.99 (3.99) proj_loss: -0.5894 (-0.5894) time: 0.3587 data: 0.0004
[11-26 10:07:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.39 Lm: 6.888 (6.888) Lt: 6.190 (6.190) Accm: 2.45 (2.45) Acct: 3.83 (3.83) proj_loss: -0.5901 (-0.5901) time: 0.3594 data: 0.0003
[11-26 10:07:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.39 Lm: 6.980 (6.980) Lt: 6.332 (6.332) Accm: 2.24 (2.24) Acct: 3.31 (3.31) proj_loss: -0.5661 (-0.5661) time: 0.3594 data: 0.0002
[11-26 10:07:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.39 Lm: 7.001 (7.001) Lt: 6.344 (6.344) Accm: 2.34 (2.34) Acct: 3.47 (3.47) proj_loss: -0.5854 (-0.5854) time: 0.3594 data: 0.0003
[11-26 10:07:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.39 Lm: 6.838 (6.838) Lt: 6.079 (6.079) Accm: 2.52 (2.52) Acct: 3.99 (3.99) proj_loss: -0.5841 (-0.5841) time: 0.3594 data: 0.0003
[11-26 10:09:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.38 Lm: 6.908 (6.862) Lt: 6.172 (6.127) Accm: 2.41 (2.49) Acct: 4.01 (4.00) proj_loss: -0.5841 (-0.5786) time: 0.3601 data: 0.0003
[11-26 10:09:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.38 Lm: 6.950 (6.970) Lt: 6.256 (6.306) Accm: 2.48 (2.32) Acct: 3.94 (3.58) proj_loss: -0.5693 (-0.5731) time: 0.3601 data: 0.0003
[11-26 10:09:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.38 Lm: 6.952 (6.975) Lt: 6.289 (6.290) Accm: 2.37 (2.35) Acct: 3.56 (3.62) proj_loss: -0.5799 (-0.5836) time: 0.3601 data: 0.0003
[11-26 10:09:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.38 Lm: 6.878 (6.866) Lt: 6.174 (6.164) Accm: 2.54 (2.53) Acct: 3.99 (4.02) proj_loss: -0.5894 (-0.5869) time: 0.3601 data: 0.0003
[11-26 10:12:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.877 (6.868) Lt: 6.190 (6.177) Accm: 2.46 (2.49) Acct: 3.92 (3.97) proj_loss: -0.5897 (-0.5877) time: 0.3627 data: 0.0003
[11-26 10:12:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.954 (6.967) Lt: 6.241 (6.286) Accm: 2.29 (2.27) Acct: 3.75 (3.57) proj_loss: -0.5661 (-0.5705) time: 0.3627 data: 0.0003
[11-26 10:12:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.829 (6.795) Lt: 6.079 (6.060) Accm: 2.52 (2.71) Acct: 4.12 (4.43) proj_loss: -0.5841 (-0.5827) time: 0.3627 data: 0.0003
[11-26 10:12:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.946 (6.966) Lt: 6.276 (6.284) Accm: 2.37 (2.36) Acct: 3.55 (3.59) proj_loss: -0.5786 (-0.5764) time: 0.3628 data: 0.0002
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.952 (6.997) Lt: 6.289 (6.325) Accm: 2.37 (2.25) Acct: 3.53 (3.45) proj_loss: -0.5799 (-0.5783) time: 0.3602 data: 0.0021
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:10:04 (0.362 s / it)
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.950 (6.921) Lt: 6.226 (6.232) Accm: 2.48 (2.38) Acct: 3.94 (3.74) proj_loss: -0.5681 (-0.5700) time: 0.3602 data: 0.0022
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.908 (6.819) Lt: 6.172 (6.093) Accm: 2.41 (2.65) Acct: 4.01 (4.31) proj_loss: -0.5841 (-0.5878) time: 0.3602 data: 0.0019
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 145/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.876 (6.849) Lt: 6.174 (6.161) Accm: 2.54 (2.51) Acct: 3.99 (4.00) proj_loss: -0.5901 (-0.5894) time: 0.3602 data: 0.0021
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:10:04 (0.362 s / it)
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:10:04 (0.362 s / it)
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 145/350] Total time: 0:10:04 (0.362 s / it)
[11-26 10:14:48] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.882 (6.895), Lt: 6.187 (6.202), Acc m&t: 2.47 3.90, Remain: 1 day, 10:24:32, Finish: 2024-11-27 04:39
[11-26 10:14:48] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.882 (6.895), Lt: 6.187 (6.202), Acc m&t: 2.47 3.90, Remain: 1 day, 10:24:13, Finish: 2024-11-27 04:39
[11-26 10:14:48] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.882 (6.895), Lt: 6.187 (6.202), Acc m&t: 2.47 3.90, Remain: 1 day, 10:25:26, Finish: 2024-11-27 04:40
[11-26 10:14:48] (/home/user/VAR/train.py , line 276)=> [ep145] (training ) Lm: 6.882 (6.895), Lt: 6.187 (6.202), Acc m&t: 2.47 3.90, Remain: 1 day, 10:24:06, Finish: 2024-11-27 04:38
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:09:33 tlr: 0.00015 tnm: 0.37 Lm: 6.913 (6.913) Lt: 6.245 (6.245) Accm: 2.21 (2.21) Acct: 3.50 (3.50) proj_loss: -0.5935 (-0.5935) time: 0.3436 data: 0.0004
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:10:13 tlr: 0.00015 tnm: 0.37 Lm: 6.906 (6.906) Lt: 6.259 (6.259) Accm: 2.59 (2.59) Acct: 3.87 (3.87) proj_loss: -0.5823 (-0.5823) time: 0.3676 data: 0.0004
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:09:57 tlr: 0.00015 tnm: 0.37 Lm: 6.945 (6.945) Lt: 6.235 (6.235) Accm: 2.42 (2.42) Acct: 3.79 (3.79) proj_loss: -0.5773 (-0.5773) time: 0.3580 data: 0.0004
[11-26 10:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 0/1669] eta: 0:09:59 tlr: 0.00015 tnm: 0.37 Lm: 6.783 (6.783) Lt: 6.141 (6.141) Accm: 2.83 (2.83) Acct: 4.15 (4.15) proj_loss: -0.5921 (-0.5921) time: 0.3593 data: 0.0004
[11-26 10:17:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.38 Lm: 6.836 (6.836) Lt: 6.185 (6.185) Accm: 2.71 (2.71) Acct: 4.00 (4.00) proj_loss: -0.5940 (-0.5940) time: 0.3619 data: 0.0003
[11-26 10:17:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.38 Lm: 6.889 (6.889) Lt: 6.210 (6.210) Accm: 2.56 (2.56) Acct: 3.93 (3.93) proj_loss: -0.5736 (-0.5736) time: 0.3619 data: 0.0002
[11-26 10:17:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.38 Lm: 6.823 (6.823) Lt: 6.125 (6.125) Accm: 2.54 (2.54) Acct: 3.92 (3.92) proj_loss: -0.5844 (-0.5844) time: 0.3619 data: 0.0003
[11-26 10:17:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.38 Lm: 6.902 (6.902) Lt: 6.185 (6.185) Accm: 2.49 (2.49) Acct: 3.93 (3.93) proj_loss: -0.5758 (-0.5758) time: 0.3619 data: 0.0003
[11-26 10:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:05:05 tlr: 0.00015 tnm: 0.37 Lm: 6.945 (6.939) Lt: 6.235 (6.235) Accm: 2.42 (2.39) Acct: 3.79 (3.76) proj_loss: -0.5743 (-0.5752) time: 0.4079 data: 0.0003
[11-26 10:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:05:05 tlr: 0.00015 tnm: 0.37 Lm: 6.871 (6.844) Lt: 6.161 (6.153) Accm: 2.59 (2.67) Acct: 3.98 (4.09) proj_loss: -0.5823 (-0.5803) time: 0.4079 data: 0.0003
[11-26 10:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:05:05 tlr: 0.00015 tnm: 0.37 Lm: 6.778 (6.808) Lt: 6.091 (6.114) Accm: 2.57 (2.55) Acct: 3.91 (3.91) proj_loss: -0.5753 (-0.5791) time: 0.4079 data: 0.0003
[11-26 10:19:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [ 834/1669] eta: 0:05:05 tlr: 0.00015 tnm: 0.37 Lm: 6.889 (6.866) Lt: 6.226 (6.199) Accm: 2.59 (2.59) Acct: 3.86 (3.86) proj_loss: -0.5921 (-0.5887) time: 0.4079 data: 0.0003
[11-26 10:22:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:02:35 tlr: 0.00015 tnm: 0.39 Lm: 6.836 (6.844) Lt: 6.184 (6.176) Accm: 2.60 (2.60) Acct: 3.92 (3.89) proj_loss: -0.5940 (-0.5915) time: 0.4050 data: 0.0003
[11-26 10:22:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:02:35 tlr: 0.00015 tnm: 0.39 Lm: 6.889 (6.890) Lt: 6.210 (6.211) Accm: 2.56 (2.51) Acct: 3.93 (3.83) proj_loss: -0.5881 (-0.5856) time: 0.4050 data: 0.0002
[11-26 10:22:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:02:35 tlr: 0.00015 tnm: 0.39 Lm: 6.814 (6.818) Lt: 6.108 (6.116) Accm: 2.59 (2.57) Acct: 3.90 (3.91) proj_loss: -0.5823 (-0.5817) time: 0.4050 data: 0.0003
[11-26 10:22:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1251/1669] eta: 0:02:35 tlr: 0.00015 tnm: 0.39 Lm: 6.925 (6.930) Lt: 6.224 (6.230) Accm: 2.45 (2.42) Acct: 3.76 (3.76) proj_loss: -0.5744 (-0.5751) time: 0.4050 data: 0.0003
[11-26 10:25:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.905 (6.908) Lt: 6.214 (6.207) Accm: 2.42 (2.41) Acct: 3.79 (3.80) proj_loss: -0.5746 (-0.5785) time: 0.3640 data: 0.0021
[11-26 10:25:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:10:26 (0.375 s / it)
[11-26 10:25:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.906 (6.902) Lt: 6.259 (6.237) Accm: 2.53 (2.45) Acct: 3.87 (3.71) proj_loss: -0.5939 (-0.5873) time: 0.3640 data: 0.0016
[11-26 10:25:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.849 (6.827) Lt: 6.124 (6.129) Accm: 2.57 (2.52) Acct: 3.89 (3.85) proj_loss: -0.5894 (-0.5863) time: 0.3640 data: 0.0019
[11-26 10:25:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 146/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.36 Lm: 6.889 (6.856) Lt: 6.178 (6.177) Accm: 2.62 (2.60) Acct: 3.98 (3.97) proj_loss: -0.5921 (-0.5881) time: 0.3640 data: 0.0018
[11-26 10:25:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:10:26 (0.375 s / it)
[11-26 10:25:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:10:26 (0.375 s / it)
[11-26 10:25:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 146/350] Total time: 0:10:26 (0.375 s / it)
[11-26 10:25:14] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.872 (6.872), Lt: 6.178 (6.178), Acc m&t: 2.49 3.90, Remain: 1 day, 10:29:14, Finish: 2024-11-27 04:54
[11-26 10:25:14] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.872 (6.872), Lt: 6.178 (6.178), Acc m&t: 2.49 3.90, Remain: 1 day, 10:28:59, Finish: 2024-11-27 04:54
[11-26 10:25:14] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.872 (6.872), Lt: 6.178 (6.178), Acc m&t: 2.49 3.90, Remain: 1 day, 10:28:29, Finish: 2024-11-27 04:53
[11-26 10:25:14] (/home/user/VAR/train.py , line 276)=> [ep146] (training ) Lm: 6.872 (6.872), Lt: 6.178 (6.178), Acc m&t: 2.49 3.90, Remain: 1 day, 10:29:01, Finish: 2024-11-27 04:54
[11-26 10:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:09:50 tlr: 0.00015 tnm: 0.37 Lm: 6.772 (6.772) Lt: 6.048 (6.048) Accm: 3.09 (3.09) Acct: 4.68 (4.68) proj_loss: -0.5736 (-0.5736) time: 0.3539 data: 0.0003
[11-26 10:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:25:58 tlr: 0.00015 tnm: 0.37 Lm: 6.879 (6.879) Lt: 6.134 (6.134) Accm: 2.39 (2.39) Acct: 3.44 (3.44) proj_loss: -0.5874 (-0.5874) time: 0.9337 data: 0.0003
[11-26 10:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:30:02 tlr: 0.00015 tnm: 0.37 Lm: 6.881 (6.881) Lt: 6.182 (6.182) Accm: 2.43 (2.43) Acct: 3.65 (3.65) proj_loss: -0.5884 (-0.5884) time: 1.0799 data: 0.0004
[11-26 10:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 0/1669] eta: 0:30:00 tlr: 0.00015 tnm: 0.37 Lm: 6.986 (6.986) Lt: 6.280 (6.280) Accm: 2.28 (2.28) Acct: 3.63 (3.63) proj_loss: -0.5713 (-0.5713) time: 1.0786 data: 0.0004
[11-26 10:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:07:55 tlr: 0.00015 tnm: 0.40 Lm: 6.935 (6.935) Lt: 6.211 (6.211) Accm: 2.37 (2.37) Acct: 3.82 (3.82) proj_loss: -0.5815 (-0.5815) time: 0.3618 data: 0.0003
[11-26 10:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:07:53 tlr: 0.00015 tnm: 0.40 Lm: 6.791 (6.791) Lt: 6.082 (6.082) Accm: 2.93 (2.93) Acct: 4.42 (4.42) proj_loss: -0.5759 (-0.5759) time: 0.3619 data: 0.0003
[11-26 10:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:07:55 tlr: 0.00015 tnm: 0.40 Lm: 6.899 (6.899) Lt: 6.221 (6.221) Accm: 2.35 (2.35) Acct: 3.62 (3.62) proj_loss: -0.5942 (-0.5942) time: 0.3618 data: 0.0002
[11-26 10:27:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 417/1669] eta: 0:07:55 tlr: 0.00015 tnm: 0.40 Lm: 6.890 (6.890) Lt: 6.154 (6.154) Accm: 2.42 (2.42) Acct: 3.72 (3.72) proj_loss: -0.5793 (-0.5793) time: 0.3619 data: 0.0003
[11-26 10:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:05:09 tlr: 0.00015 tnm: 0.39 Lm: 6.902 (6.910) Lt: 6.173 (6.168) Accm: 2.39 (2.40) Acct: 3.75 (3.73) proj_loss: -0.5711 (-0.5762) time: 0.3617 data: 0.0003
[11-26 10:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:05:09 tlr: 0.00015 tnm: 0.39 Lm: 6.810 (6.827) Lt: 6.116 (6.119) Accm: 2.78 (2.76) Acct: 4.17 (4.25) proj_loss: -0.5783 (-0.5797) time: 0.3617 data: 0.0003
[11-26 10:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:05:09 tlr: 0.00015 tnm: 0.39 Lm: 6.883 (6.916) Lt: 6.175 (6.199) Accm: 2.47 (2.42) Acct: 3.94 (3.86) proj_loss: -0.5713 (-0.5721) time: 0.3617 data: 0.0003
[11-26 10:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [ 834/1669] eta: 0:05:09 tlr: 0.00015 tnm: 0.39 Lm: 6.918 (6.910) Lt: 6.255 (6.233) Accm: 2.43 (2.39) Acct: 3.65 (3.72) proj_loss: -0.5884 (-0.5858) time: 0.3617 data: 0.0003
[11-26 10:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:02:33 tlr: 0.00015 tnm: 0.37 Lm: 6.925 (6.930) Lt: 6.258 (6.252) Accm: 2.35 (2.34) Acct: 3.62 (3.68) proj_loss: -0.5914 (-0.5879) time: 0.3619 data: 0.0003
[11-26 10:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:02:33 tlr: 0.00015 tnm: 0.37 Lm: 6.791 (6.812) Lt: 6.105 (6.113) Accm: 2.76 (2.76) Acct: 4.21 (4.25) proj_loss: -0.5827 (-0.5830) time: 0.3619 data: 0.0003
[11-26 10:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:02:33 tlr: 0.00015 tnm: 0.37 Lm: 6.890 (6.875) Lt: 6.154 (6.126) Accm: 2.42 (2.49) Acct: 3.87 (3.89) proj_loss: -0.5791 (-0.5790) time: 0.3619 data: 0.0003
[11-26 10:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1251/1669] eta: 0:02:33 tlr: 0.00015 tnm: 0.37 Lm: 6.935 (6.946) Lt: 6.227 (6.222) Accm: 2.37 (2.35) Acct: 3.79 (3.77) proj_loss: -0.5752 (-0.5739) time: 0.3619 data: 0.0003
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.37 Lm: 6.986 (6.958) Lt: 6.280 (6.255) Accm: 2.30 (2.34) Acct: 3.63 (3.73) proj_loss: -0.5755 (-0.5742) time: 0.3632 data: 0.0013
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:10:10 (0.366 s / it)
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.37 Lm: 6.810 (6.835) Lt: 6.116 (6.142) Accm: 2.74 (2.65) Acct: 4.17 (4.10) proj_loss: -0.5872 (-0.5851) time: 0.3632 data: 0.0019
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.37 Lm: 6.902 (6.881) Lt: 6.173 (6.148) Accm: 2.45 (2.49) Acct: 3.82 (3.87) proj_loss: -0.5814 (-0.5795) time: 0.3632 data: 0.0018
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 147/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.37 Lm: 6.918 (6.913) Lt: 6.255 (6.224) Accm: 2.43 (2.42) Acct: 3.65 (3.82) proj_loss: -0.5884 (-0.5880) time: 0.3632 data: 0.0018
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:10:09 (0.365 s / it)
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:10:10 (0.366 s / it)
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 147/350] Total time: 0:10:10 (0.366 s / it)
[11-26 10:35:25] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.872 (6.877), Lt: 6.178 (6.182), Acc m&t: 2.49 3.90, Remain: 1 day, 10:10:13, Finish: 2024-11-27 04:45
[11-26 10:35:25] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.872 (6.877), Lt: 6.178 (6.182), Acc m&t: 2.49 3.90, Remain: 1 day, 10:09:33, Finish: 2024-11-27 04:44
[11-26 10:35:25] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.872 (6.877), Lt: 6.178 (6.182), Acc m&t: 2.49 3.90, Remain: 1 day, 10:08:20, Finish: 2024-11-27 04:43
[11-26 10:35:25] (/home/user/VAR/train.py , line 276)=> [ep147] (training ) Lm: 6.872 (6.877), Lt: 6.178 (6.182), Acc m&t: 2.49 3.90, Remain: 1 day, 10:10:03, Finish: 2024-11-27 04:45
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:09:34 tlr: 0.00015 tnm: 0.38 Lm: 6.897 (6.897) Lt: 6.198 (6.198) Accm: 2.37 (2.37) Acct: 3.81 (3.81) proj_loss: -0.5794 (-0.5794) time: 0.3440 data: 0.0003
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:09:35 tlr: 0.00015 tnm: 0.38 Lm: 6.771 (6.771) Lt: 6.025 (6.025) Accm: 2.67 (2.67) Acct: 3.91 (3.91) proj_loss: -0.5923 (-0.5923) time: 0.3448 data: 0.0004
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:09:36 tlr: 0.00015 tnm: 0.38 Lm: 6.920 (6.920) Lt: 6.275 (6.275) Accm: 2.51 (2.51) Acct: 3.75 (3.75) proj_loss: -0.5702 (-0.5702) time: 0.3452 data: 0.0004
[11-26 10:35:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 0/1669] eta: 0:10:30 tlr: 0.00015 tnm: 0.38 Lm: 6.817 (6.817) Lt: 6.125 (6.125) Accm: 2.52 (2.52) Acct: 3.87 (3.87) proj_loss: -0.5951 (-0.5951) time: 0.3778 data: 0.0003
[11-26 10:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.763 (6.763) Lt: 6.063 (6.063) Accm: 2.71 (2.71) Acct: 4.16 (4.16) proj_loss: -0.6022 (-0.6022) time: 0.3613 data: 0.0005
[11-26 10:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.775 (6.775) Lt: 6.051 (6.051) Accm: 2.63 (2.63) Acct: 3.94 (3.94) proj_loss: -0.5905 (-0.5905) time: 0.3613 data: 0.0003
[11-26 10:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.926 (6.926) Lt: 6.266 (6.266) Accm: 2.54 (2.54) Acct: 3.86 (3.86) proj_loss: -0.5726 (-0.5726) time: 0.3613 data: 0.0003
[11-26 10:37:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.938 (6.938) Lt: 6.212 (6.212) Accm: 2.26 (2.26) Acct: 3.62 (3.62) proj_loss: -0.5718 (-0.5718) time: 0.3613 data: 0.0002
[11-26 10:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.38 Lm: 6.974 (6.950) Lt: 6.227 (6.244) Accm: 2.37 (2.30) Acct: 3.68 (3.64) proj_loss: -0.5794 (-0.5819) time: 0.3619 data: 0.0003
[11-26 10:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.38 Lm: 6.780 (6.820) Lt: 6.077 (6.103) Accm: 2.67 (2.64) Acct: 3.98 (4.10) proj_loss: -0.5888 (-0.5878) time: 0.3619 data: 0.0003
[11-26 10:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.38 Lm: 6.787 (6.771) Lt: 6.045 (6.057) Accm: 2.72 (2.71) Acct: 4.39 (4.24) proj_loss: -0.5951 (-0.5947) time: 0.3619 data: 0.0003
[11-26 10:40:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.38 Lm: 6.920 (6.914) Lt: 6.258 (6.242) Accm: 2.57 (2.57) Acct: 3.94 (3.89) proj_loss: -0.5721 (-0.5725) time: 0.3619 data: 0.0003
[11-26 10:42:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:02:30 tlr: 0.00015 tnm: 0.37 Lm: 6.906 (6.907) Lt: 6.266 (6.252) Accm: 2.54 (2.53) Acct: 3.85 (3.82) proj_loss: -0.5736 (-0.5802) time: 0.3587 data: 0.0003
[11-26 10:42:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:02:30 tlr: 0.00015 tnm: 0.37 Lm: 6.844 (6.860) Lt: 6.142 (6.143) Accm: 2.63 (2.56) Acct: 3.94 (4.02) proj_loss: -0.5855 (-0.5864) time: 0.3587 data: 0.0002
[11-26 10:42:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:02:30 tlr: 0.00015 tnm: 0.37 Lm: 6.801 (6.782) Lt: 6.068 (6.066) Accm: 2.69 (2.70) Acct: 4.29 (4.22) proj_loss: -0.5882 (-0.5913) time: 0.3587 data: 0.0003
[11-26 10:42:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1251/1669] eta: 0:02:30 tlr: 0.00015 tnm: 0.37 Lm: 6.976 (6.960) Lt: 6.246 (6.249) Accm: 2.27 (2.26) Acct: 3.64 (3.63) proj_loss: -0.5771 (-0.5802) time: 0.3587 data: 0.0003
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.978 (6.967) Lt: 6.266 (6.257) Accm: 2.17 (2.25) Acct: 3.60 (3.61) proj_loss: -0.5794 (-0.5823) time: 0.3638 data: 0.0017
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:10:03 (0.362 s / it)
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.886 (6.865) Lt: 6.199 (6.154) Accm: 2.60 (2.56) Acct: 3.98 (4.02) proj_loss: -0.5888 (-0.5896) time: 0.3638 data: 0.0015
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.788 (6.783) Lt: 6.087 (6.070) Accm: 2.72 (2.73) Acct: 4.29 (4.24) proj_loss: -0.5812 (-0.5861) time: 0.3638 data: 0.0021
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 148/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.920 (6.913) Lt: 6.258 (6.252) Accm: 2.51 (2.48) Acct: 3.75 (3.76) proj_loss: -0.5751 (-0.5803) time: 0.3638 data: 0.0020
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:10:03 (0.362 s / it)
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:10:03 (0.362 s / it)
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 148/350] Total time: 0:10:03 (0.362 s / it)
[11-26 10:45:29] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.872 (6.873), Lt: 6.175 (6.175), Acc m&t: 2.49 3.92, Remain: 1 day, 10:01:37, Finish: 2024-11-27 04:47
[11-26 10:45:29] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.872 (6.873), Lt: 6.175 (6.175), Acc m&t: 2.49 3.92, Remain: 1 day, 10:00:23, Finish: 2024-11-27 04:45
[11-26 10:45:29] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.872 (6.873), Lt: 6.175 (6.175), Acc m&t: 2.49 3.92, Remain: 1 day, 10:02:05, Finish: 2024-11-27 04:47
[11-26 10:45:29] (/home/user/VAR/train.py , line 276)=> [ep148] (training ) Lm: 6.872 (6.873), Lt: 6.175 (6.175), Acc m&t: 2.49 3.92, Remain: 1 day, 10:01:24, Finish: 2024-11-27 04:46
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:09:42 tlr: 0.00015 tnm: 0.38 Lm: 6.809 (6.809) Lt: 6.112 (6.112) Accm: 2.67 (2.67) Acct: 4.24 (4.24) proj_loss: -0.5954 (-0.5954) time: 0.3489 data: 0.0003
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:09:43 tlr: 0.00015 tnm: 0.38 Lm: 6.901 (6.901) Lt: 6.242 (6.242) Accm: 2.51 (2.51) Acct: 3.86 (3.86) proj_loss: -0.5526 (-0.5526) time: 0.3495 data: 0.0004
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:09:43 tlr: 0.00015 tnm: 0.38 Lm: 6.887 (6.887) Lt: 6.177 (6.177) Accm: 2.53 (2.53) Acct: 4.10 (4.10) proj_loss: -0.5829 (-0.5829) time: 0.3497 data: 0.0003
[11-26 10:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 0/1669] eta: 0:09:42 tlr: 0.00015 tnm: 0.38 Lm: 6.911 (6.911) Lt: 6.187 (6.187) Accm: 2.22 (2.22) Acct: 3.51 (3.51) proj_loss: -0.6035 (-0.6035) time: 0.3488 data: 0.0004
[11-26 10:48:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.965 (6.965) Lt: 6.253 (6.253) Accm: 2.13 (2.13) Acct: 3.26 (3.26) proj_loss: -0.6025 (-0.6025) time: 0.3600 data: 0.0003
[11-26 10:48:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.776 (6.776) Lt: 6.073 (6.073) Accm: 2.72 (2.72) Acct: 4.32 (4.32) proj_loss: -0.5903 (-0.5903) time: 0.3600 data: 0.0002
[11-26 10:48:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.932 (6.932) Lt: 6.252 (6.252) Accm: 2.44 (2.44) Acct: 3.87 (3.87) proj_loss: -0.5677 (-0.5677) time: 0.3600 data: 0.0003
[11-26 10:48:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.897 (6.897) Lt: 6.204 (6.204) Accm: 2.42 (2.42) Acct: 3.98 (3.98) proj_loss: -0.5939 (-0.5939) time: 0.3600 data: 0.0003
[11-26 10:50:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:05:08 tlr: 0.00015 tnm: 0.40 Lm: 6.887 (6.829) Lt: 6.177 (6.127) Accm: 2.53 (2.63) Acct: 4.10 (4.23) proj_loss: -0.5829 (-0.5860) time: 0.3614 data: 0.0003
[11-26 10:50:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:05:08 tlr: 0.00015 tnm: 0.40 Lm: 6.809 (6.796) Lt: 6.091 (6.079) Accm: 2.67 (2.69) Acct: 4.39 (4.34) proj_loss: -0.5900 (-0.5902) time: 0.3614 data: 0.0003
[11-26 10:50:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:05:08 tlr: 0.00015 tnm: 0.40 Lm: 6.954 (6.940) Lt: 6.262 (6.265) Accm: 2.38 (2.39) Acct: 3.86 (3.81) proj_loss: -0.5684 (-0.5680) time: 0.3614 data: 0.0003
[11-26 10:50:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [ 834/1669] eta: 0:05:08 tlr: 0.00015 tnm: 0.40 Lm: 6.914 (6.948) Lt: 6.216 (6.241) Accm: 2.22 (2.25) Acct: 3.51 (3.41) proj_loss: -0.6023 (-0.6024) time: 0.3614 data: 0.0003
[11-26 10:53:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:02:36 tlr: 0.00015 tnm: 0.37 Lm: 6.823 (6.821) Lt: 6.102 (6.105) Accm: 2.65 (2.66) Acct: 4.36 (4.34) proj_loss: -0.5907 (-0.5905) time: 0.3620 data: 0.0004
[11-26 10:53:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:02:36 tlr: 0.00015 tnm: 0.37 Lm: 6.853 (6.827) Lt: 6.116 (6.109) Accm: 2.48 (2.58) Acct: 3.99 (4.15) proj_loss: -0.5788 (-0.5832) time: 0.3620 data: 0.0003
[11-26 10:53:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:02:36 tlr: 0.00015 tnm: 0.37 Lm: 6.929 (6.947) Lt: 6.239 (6.246) Accm: 2.24 (2.25) Acct: 3.43 (3.40) proj_loss: -0.6019 (-0.5968) time: 0.3621 data: 0.0002
[11-26 10:53:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1251/1669] eta: 0:02:36 tlr: 0.00015 tnm: 0.37 Lm: 6.928 (6.904) Lt: 6.252 (6.206) Accm: 2.44 (2.50) Acct: 3.87 (3.94) proj_loss: -0.5757 (-0.5721) time: 0.3620 data: 0.0003
[11-26 10:56:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.901 (6.880) Lt: 6.242 (6.169) Accm: 2.51 (2.54) Acct: 3.87 (4.08) proj_loss: -0.5829 (-0.5747) time: 0.3622 data: 0.0016
[11-26 10:56:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:10:30 (0.378 s / it)
[11-26 10:56:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.835 (6.823) Lt: 6.091 (6.092) Accm: 2.64 (2.61) Acct: 4.34 (4.30) proj_loss: -0.5900 (-0.5875) time: 0.3622 data: 0.0019
[11-26 10:56:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.843 (6.830) Lt: 6.141 (6.115) Accm: 2.53 (2.60) Acct: 4.10 (4.17) proj_loss: -0.5822 (-0.5830) time: 0.3622 data: 0.0018
[11-26 10:56:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 149/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.914 (6.932) Lt: 6.216 (6.231) Accm: 2.27 (2.26) Acct: 3.51 (3.43) proj_loss: -0.6015 (-0.5942) time: 0.3622 data: 0.0014
[11-26 10:56:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:10:30 (0.378 s / it)
[11-26 10:56:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:10:30 (0.378 s / it)
[11-26 10:56:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 149/350] Total time: 0:10:30 (0.378 s / it)
[11-26 10:58:09] (home/user/VAR/trainer.py, line 114)=> FID: 4.755457480417249
[11-26 10:58:10] (/home/user/VAR/train.py , line 259)=> [*] [ep149] (val 50000) Lm: 6.8740, Lt: 6.1731, Acc m&t: 2.47 3.90, Val cost: 129.63s
[11-26 10:58:10] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 10:58:24] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.872 (6.874), Lt: 6.173 (6.173), Acc m&t: 2.49 3.92, Remain: 1 day, 9:36:35, Finish: 2024-11-27 04:32
[11-26 10:58:24] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.872 (6.874), Lt: 6.173 (6.173), Acc m&t: 2.49 3.92, Remain: 1 day, 9:37:42, Finish: 2024-11-27 04:33
[11-26 10:58:24] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.872 (6.874), Lt: 6.173 (6.173), Acc m&t: 2.49 3.92, Remain: 1 day, 9:36:03, Finish: 2024-11-27 04:32
[11-26 10:58:24] (/home/user/VAR/train.py , line 276)=> [ep149] (training ) Lm: 6.872 (6.874), Lt: 6.173 (6.173), Acc m&t: 2.49 3.92, Remain: 1 day, 9:36:54, Finish: 2024-11-27 04:32
[11-26 10:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:09:59 tlr: 0.00015 tnm: 0.39 Lm: 6.865 (6.865) Lt: 6.169 (6.169) Accm: 2.55 (2.55) Acct: 3.87 (3.87) proj_loss: -0.5971 (-0.5971) time: 0.3590 data: 0.0004
[11-26 10:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:09:57 tlr: 0.00015 tnm: 0.39 Lm: 6.825 (6.825) Lt: 6.068 (6.068) Accm: 2.89 (2.89) Acct: 4.89 (4.89) proj_loss: -0.5987 (-0.5987) time: 0.3583 data: 0.0003
[11-26 10:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:09:59 tlr: 0.00015 tnm: 0.39 Lm: 6.859 (6.859) Lt: 6.144 (6.144) Accm: 2.35 (2.35) Acct: 3.70 (3.70) proj_loss: -0.5886 (-0.5886) time: 0.3592 data: 0.0004
[11-26 10:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 0/1669] eta: 0:10:01 tlr: 0.00015 tnm: 0.39 Lm: 6.872 (6.872) Lt: 6.115 (6.115) Accm: 2.40 (2.40) Acct: 3.87 (3.87) proj_loss: -0.5785 (-0.5785) time: 0.3604 data: 0.0004
[11-26 11:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:07:39 tlr: 0.00015 tnm: 0.37 Lm: 6.893 (6.893) Lt: 6.166 (6.166) Accm: 2.31 (2.31) Acct: 3.67 (3.67) proj_loss: -0.5805 (-0.5805) time: 0.3616 data: 0.0003
[11-26 11:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:07:39 tlr: 0.00015 tnm: 0.37 Lm: 6.898 (6.898) Lt: 6.182 (6.182) Accm: 2.41 (2.41) Acct: 3.88 (3.88) proj_loss: -0.5887 (-0.5887) time: 0.3616 data: 0.0003
[11-26 11:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:07:39 tlr: 0.00015 tnm: 0.37 Lm: 6.860 (6.860) Lt: 6.151 (6.151) Accm: 2.68 (2.68) Acct: 4.41 (4.41) proj_loss: -0.6021 (-0.6021) time: 0.3616 data: 0.0003
[11-26 11:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 417/1669] eta: 0:07:39 tlr: 0.00015 tnm: 0.37 Lm: 6.861 (6.861) Lt: 6.167 (6.167) Accm: 2.64 (2.64) Acct: 4.01 (4.01) proj_loss: -0.5857 (-0.5857) time: 0.3616 data: 0.0003
[11-26 11:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.865 (6.873) Lt: 6.169 (6.181) Accm: 2.55 (2.55) Acct: 3.87 (3.93) proj_loss: -0.5967 (-0.5894) time: 0.3617 data: 0.0003
[11-26 11:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.825 (6.792) Lt: 6.068 (6.078) Accm: 2.89 (2.85) Acct: 4.89 (4.60) proj_loss: -0.5987 (-0.5966) time: 0.3617 data: 0.0003
[11-26 11:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.903 (6.896) Lt: 6.189 (6.174) Accm: 2.36 (2.32) Acct: 3.72 (3.68) proj_loss: -0.5785 (-0.5772) time: 0.3617 data: 0.0003
[11-26 11:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [ 834/1669] eta: 0:05:03 tlr: 0.00015 tnm: 0.39 Lm: 6.938 (6.927) Lt: 6.220 (6.228) Accm: 2.35 (2.38) Acct: 3.70 (3.82) proj_loss: -0.5886 (-0.5769) time: 0.3617 data: 0.0003
[11-26 11:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.898 (6.907) Lt: 6.182 (6.195) Accm: 2.41 (2.45) Acct: 3.88 (3.89) proj_loss: -0.5858 (-0.5785) time: 0.3611 data: 0.0003
[11-26 11:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.860 (6.820) Lt: 6.126 (6.104) Accm: 2.68 (2.69) Acct: 4.41 (4.31) proj_loss: -0.5921 (-0.5910) time: 0.3611 data: 0.0002
[11-26 11:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.888 (6.873) Lt: 6.152 (6.148) Accm: 2.38 (2.43) Acct: 3.80 (3.91) proj_loss: -0.5760 (-0.5763) time: 0.3611 data: 0.0003
[11-26 11:05:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.39 Lm: 6.880 (6.882) Lt: 6.188 (6.188) Accm: 2.46 (2.49) Acct: 3.85 (3.90) proj_loss: -0.5969 (-0.5920) time: 0.3612 data: 0.0003
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.896 (6.922) Lt: 6.207 (6.232) Accm: 2.37 (2.38) Acct: 3.82 (3.73) proj_loss: -0.5967 (-0.5904) time: 0.3611 data: 0.0017
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:10:04 (0.362 s / it)
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.896 (6.837) Lt: 6.183 (6.126) Accm: 2.48 (2.64) Acct: 3.93 (4.18) proj_loss: -0.5854 (-0.5876) time: 0.3611 data: 0.0016
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.859 (6.897) Lt: 6.169 (6.190) Accm: 2.47 (2.46) Acct: 3.86 (3.88) proj_loss: -0.5886 (-0.5818) time: 0.3611 data: 0.0021
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 150/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.873 (6.873) Lt: 6.186 (6.156) Accm: 2.36 (2.42) Acct: 3.72 (3.84) proj_loss: -0.5785 (-0.5811) time: 0.3611 data: 0.0020
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:10:04 (0.362 s / it)
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:10:04 (0.362 s / it)
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 150/350] Total time: 0:10:04 (0.362 s / it)
[11-26 11:08:29] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.872 (6.880), Lt: 6.173 (6.183), Acc m&t: 2.49 3.92, Remain: 1 day, 9:25:58, Finish: 2024-11-27 04:34
[11-26 11:08:29] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.872 (6.880), Lt: 6.173 (6.183), Acc m&t: 2.49 3.92, Remain: 1 day, 9:27:11, Finish: 2024-11-27 04:35
[11-26 11:08:29] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.872 (6.880), Lt: 6.173 (6.183), Acc m&t: 2.49 3.92, Remain: 1 day, 9:27:14, Finish: 2024-11-27 04:35
[11-26 11:08:29] (/home/user/VAR/train.py , line 276)=> [ep150] (training ) Lm: 6.872 (6.880), Lt: 6.173 (6.183), Acc m&t: 2.49 3.92, Remain: 1 day, 9:26:50, Finish: 2024-11-27 04:35
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:09:43 tlr: 0.00015 tnm: 0.38 Lm: 6.804 (6.804) Lt: 6.100 (6.100) Accm: 2.83 (2.83) Acct: 4.37 (4.37) proj_loss: -0.5865 (-0.5865) time: 0.3495 data: 0.0003
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:09:50 tlr: 0.00015 tnm: 0.38 Lm: 7.053 (7.053) Lt: 6.398 (6.398) Accm: 2.15 (2.15) Acct: 3.29 (3.29) proj_loss: -0.5711 (-0.5711) time: 0.3538 data: 0.0003
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:09:46 tlr: 0.00015 tnm: 0.38 Lm: 6.741 (6.741) Lt: 5.981 (5.981) Accm: 2.80 (2.80) Acct: 4.42 (4.42) proj_loss: -0.5629 (-0.5629) time: 0.3517 data: 0.0004
[11-26 11:08:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 0/1669] eta: 0:09:48 tlr: 0.00015 tnm: 0.38 Lm: 6.843 (6.843) Lt: 6.136 (6.136) Accm: 2.43 (2.43) Acct: 3.98 (3.98) proj_loss: -0.5763 (-0.5763) time: 0.3528 data: 0.0004
[11-26 11:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.38 Lm: 6.876 (6.876) Lt: 6.174 (6.174) Accm: 2.50 (2.50) Acct: 3.99 (3.99) proj_loss: -0.5898 (-0.5898) time: 0.3640 data: 0.0003
[11-26 11:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.38 Lm: 6.792 (6.792) Lt: 6.091 (6.091) Accm: 2.68 (2.68) Acct: 4.13 (4.13) proj_loss: -0.5921 (-0.5921) time: 0.3640 data: 0.0003
[11-26 11:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.38 Lm: 6.747 (6.747) Lt: 5.995 (5.995) Accm: 2.80 (2.80) Acct: 4.56 (4.56) proj_loss: -0.5702 (-0.5702) time: 0.3640 data: 0.0003
[11-26 11:11:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.38 Lm: 6.875 (6.875) Lt: 6.194 (6.194) Accm: 2.68 (2.68) Acct: 3.99 (3.99) proj_loss: -0.5737 (-0.5737) time: 0.3640 data: 0.0003
[11-26 11:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.39 Lm: 7.038 (6.929) Lt: 6.359 (6.249) Accm: 2.15 (2.47) Acct: 3.29 (3.68) proj_loss: -0.5711 (-0.5728) time: 0.3605 data: 0.0003
[11-26 11:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.39 Lm: 6.804 (6.813) Lt: 6.100 (6.123) Accm: 2.54 (2.60) Acct: 3.89 (3.94) proj_loss: -0.5865 (-0.5896) time: 0.3605 data: 0.0002
[11-26 11:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.39 Lm: 6.753 (6.780) Lt: 6.010 (6.053) Accm: 2.80 (2.71) Acct: 4.42 (4.30) proj_loss: -0.5776 (-0.5876) time: 0.3605 data: 0.0003
[11-26 11:13:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [ 834/1669] eta: 0:05:01 tlr: 0.00015 tnm: 0.39 Lm: 6.843 (6.820) Lt: 6.136 (6.105) Accm: 2.58 (2.63) Acct: 3.99 (4.26) proj_loss: -0.5808 (-0.5868) time: 0.3605 data: 0.0003
[11-26 11:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.857 (6.833) Lt: 6.151 (6.120) Accm: 2.53 (2.59) Acct: 3.99 (4.18) proj_loss: -0.5786 (-0.5828) time: 0.3605 data: 0.0003
[11-26 11:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.830 (6.853) Lt: 6.143 (6.165) Accm: 2.49 (2.44) Acct: 3.73 (3.74) proj_loss: -0.5921 (-0.5920) time: 0.3605 data: 0.0003
[11-26 11:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.930 (6.903) Lt: 6.247 (6.220) Accm: 2.37 (2.50) Acct: 3.73 (3.80) proj_loss: -0.5737 (-0.5757) time: 0.3605 data: 0.0003
[11-26 11:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.798 (6.796) Lt: 6.040 (6.057) Accm: 2.76 (2.72) Acct: 4.34 (4.29) proj_loss: -0.5720 (-0.5823) time: 0.3605 data: 0.0003
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.843 (6.807) Lt: 6.069 (6.078) Accm: 2.72 (2.68) Acct: 4.25 (4.27) proj_loss: -0.5776 (-0.5846) time: 0.3593 data: 0.0015
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:10:03 (0.362 s / it)
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.823 (6.884) Lt: 6.135 (6.194) Accm: 2.39 (2.48) Acct: 3.74 (3.79) proj_loss: -0.5763 (-0.5758) time: 0.3593 data: 0.0017
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.856 (6.872) Lt: 6.187 (6.194) Accm: 2.44 (2.38) Acct: 3.56 (3.63) proj_loss: -0.5978 (-0.5934) time: 0.3593 data: 0.0016
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 151/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.41 Lm: 6.871 (6.845) Lt: 6.140 (6.124) Accm: 2.48 (2.52) Acct: 3.98 (4.02) proj_loss: -0.5808 (-0.5830) time: 0.3593 data: 0.0019
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:10:03 (0.362 s / it)
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:10:03 (0.362 s / it)
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 151/350] Total time: 0:10:03 (0.362 s / it)
[11-26 11:18:33] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.872 (6.873), Lt: 6.173 (6.177), Acc m&t: 2.49 3.92, Remain: 1 day, 9:09:23, Finish: 2024-11-27 04:27
[11-26 11:18:33] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.872 (6.873), Lt: 6.173 (6.177), Acc m&t: 2.49 3.92, Remain: 1 day, 9:09:28, Finish: 2024-11-27 04:28
[11-26 11:18:33] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.872 (6.873), Lt: 6.173 (6.177), Acc m&t: 2.49 3.92, Remain: 1 day, 9:09:33, Finish: 2024-11-27 04:28
[11-26 11:18:33] (/home/user/VAR/train.py , line 276)=> [ep151] (training ) Lm: 6.872 (6.873), Lt: 6.173 (6.177), Acc m&t: 2.49 3.92, Remain: 1 day, 9:09:34, Finish: 2024-11-27 04:28
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:09:31 tlr: 0.00015 tnm: 0.37 Lm: 6.892 (6.892) Lt: 6.264 (6.264) Accm: 2.24 (2.24) Acct: 3.51 (3.51) proj_loss: -0.6024 (-0.6024) time: 0.3423 data: 0.0003
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:10:08 tlr: 0.00015 tnm: 0.37 Lm: 6.731 (6.731) Lt: 6.010 (6.010) Accm: 2.96 (2.96) Acct: 4.42 (4.42) proj_loss: -0.5994 (-0.5994) time: 0.3644 data: 0.0003
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:09:33 tlr: 0.00015 tnm: 0.37 Lm: 6.721 (6.721) Lt: 6.015 (6.015) Accm: 2.73 (2.73) Acct: 4.22 (4.22) proj_loss: -0.5779 (-0.5779) time: 0.3434 data: 0.0004
[11-26 11:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 0/1669] eta: 0:09:32 tlr: 0.00015 tnm: 0.37 Lm: 6.986 (6.986) Lt: 6.303 (6.303) Accm: 2.41 (2.41) Acct: 3.81 (3.81) proj_loss: -0.5885 (-0.5885) time: 0.3429 data: 0.0004
[11-26 11:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:07:43 tlr: 0.00015 tnm: 0.40 Lm: 6.924 (6.924) Lt: 6.243 (6.243) Accm: 2.43 (2.43) Acct: 3.84 (3.84) proj_loss: -0.5891 (-0.5891) time: 0.4479 data: 0.0003
[11-26 11:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:07:43 tlr: 0.00015 tnm: 0.40 Lm: 6.902 (6.902) Lt: 6.257 (6.257) Accm: 2.28 (2.28) Acct: 3.50 (3.50) proj_loss: -0.5911 (-0.5911) time: 0.4479 data: 0.0003
[11-26 11:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:07:43 tlr: 0.00015 tnm: 0.40 Lm: 6.752 (6.752) Lt: 6.042 (6.042) Accm: 2.87 (2.87) Acct: 4.36 (4.36) proj_loss: -0.5921 (-0.5921) time: 0.4479 data: 0.0003
[11-26 11:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 417/1669] eta: 0:07:43 tlr: 0.00015 tnm: 0.40 Lm: 6.757 (6.757) Lt: 6.069 (6.069) Accm: 2.72 (2.72) Acct: 4.22 (4.22) proj_loss: -0.5837 (-0.5837) time: 0.4479 data: 0.0003
[11-26 11:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:05:14 tlr: 0.00015 tnm: 0.37 Lm: 6.911 (6.914) Lt: 6.264 (6.260) Accm: 2.32 (2.32) Acct: 3.51 (3.54) proj_loss: -0.6024 (-0.5969) time: 0.4074 data: 0.0003
[11-26 11:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:05:14 tlr: 0.00015 tnm: 0.37 Lm: 6.955 (6.935) Lt: 6.233 (6.239) Accm: 2.41 (2.39) Acct: 3.81 (3.82) proj_loss: -0.5887 (-0.5889) time: 0.4074 data: 0.0003
[11-26 11:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:05:14 tlr: 0.00015 tnm: 0.37 Lm: 6.773 (6.808) Lt: 6.075 (6.108) Accm: 2.78 (2.74) Acct: 4.30 (4.22) proj_loss: -0.5849 (-0.5875) time: 0.4074 data: 0.0003
[11-26 11:23:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [ 834/1669] eta: 0:05:14 tlr: 0.00015 tnm: 0.37 Lm: 6.793 (6.805) Lt: 6.123 (6.123) Accm: 2.71 (2.70) Acct: 4.22 (4.15) proj_loss: -0.5779 (-0.5811) time: 0.4074 data: 0.0003
[11-26 11:26:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:02:38 tlr: 0.00015 tnm: 0.39 Lm: 6.848 (6.866) Lt: 6.176 (6.187) Accm: 2.69 (2.55) Acct: 4.12 (3.96) proj_loss: -0.5769 (-0.5786) time: 0.4047 data: 0.0003
[11-26 11:26:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.39 Lm: 6.909 (6.901) Lt: 6.207 (6.207) Accm: 2.43 (2.41) Acct: 3.84 (3.87) proj_loss: -0.5891 (-0.5901) time: 0.4047 data: 0.0003
[11-26 11:26:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.39 Lm: 6.926 (6.922) Lt: 6.266 (6.264) Accm: 2.31 (2.31) Acct: 3.57 (3.63) proj_loss: -0.5918 (-0.5930) time: 0.4048 data: 0.0002
[11-26 11:26:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1251/1669] eta: 0:02:39 tlr: 0.00015 tnm: 0.39 Lm: 6.801 (6.813) Lt: 6.119 (6.121) Accm: 2.63 (2.65) Acct: 4.12 (4.07) proj_loss: -0.5816 (-0.5826) time: 0.4047 data: 0.0003
[11-26 11:29:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.829 (6.833) Lt: 6.162 (6.140) Accm: 2.48 (2.58) Acct: 3.94 (3.94) proj_loss: -0.5849 (-0.5858) time: 0.4022 data: 0.0017
[11-26 11:29:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:10:33 (0.379 s / it)
[11-26 11:29:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.903 (6.876) Lt: 6.187 (6.187) Accm: 2.67 (2.56) Acct: 4.01 (3.95) proj_loss: -0.5779 (-0.5792) time: 0.4022 data: 0.0013
[11-26 11:29:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.912 (6.903) Lt: 6.203 (6.206) Accm: 2.41 (2.39) Acct: 3.82 (3.86) proj_loss: -0.5887 (-0.5888) time: 0.4022 data: 0.0017
[11-26 11:29:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 152/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.38 Lm: 6.940 (6.930) Lt: 6.267 (6.273) Accm: 2.30 (2.27) Acct: 3.51 (3.53) proj_loss: -0.5812 (-0.5890) time: 0.4022 data: 0.0016
[11-26 11:29:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:10:33 (0.379 s / it)
[11-26 11:29:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:10:33 (0.379 s / it)
[11-26 11:29:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 152/350] Total time: 0:10:33 (0.379 s / it)
[11-26 11:29:06] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.872 (6.876), Lt: 6.173 (6.180), Acc m&t: 2.49 3.92, Remain: 1 day, 9:25:18, Finish: 2024-11-27 04:54
[11-26 11:29:06] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.872 (6.876), Lt: 6.173 (6.180), Acc m&t: 2.49 3.92, Remain: 1 day, 9:24:49, Finish: 2024-11-27 04:53
[11-26 11:29:06] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.872 (6.876), Lt: 6.173 (6.180), Acc m&t: 2.49 3.92, Remain: 1 day, 9:26:35, Finish: 2024-11-27 04:55
[11-26 11:29:06] (/home/user/VAR/train.py , line 276)=> [ep152] (training ) Lm: 6.872 (6.876), Lt: 6.173 (6.180), Acc m&t: 2.49 3.92, Remain: 1 day, 9:25:19, Finish: 2024-11-27 04:54
[11-26 11:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:09:36 tlr: 0.00015 tnm: 0.39 Lm: 6.903 (6.903) Lt: 6.237 (6.237) Accm: 2.29 (2.29) Acct: 3.15 (3.15) proj_loss: -0.5959 (-0.5959) time: 0.3451 data: 0.0004
[11-26 11:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:09:36 tlr: 0.00015 tnm: 0.39 Lm: 6.863 (6.863) Lt: 6.125 (6.125) Accm: 2.41 (2.41) Acct: 3.87 (3.87) proj_loss: -0.5911 (-0.5911) time: 0.3457 data: 0.0004
[11-26 11:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:09:36 tlr: 0.00015 tnm: 0.39 Lm: 7.016 (7.016) Lt: 6.311 (6.311) Accm: 2.16 (2.16) Acct: 3.67 (3.67) proj_loss: -0.5524 (-0.5524) time: 0.3456 data: 0.0004
[11-26 11:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 0/1669] eta: 0:09:37 tlr: 0.00015 tnm: 0.39 Lm: 6.955 (6.955) Lt: 6.298 (6.298) Accm: 2.33 (2.33) Acct: 3.58 (3.58) proj_loss: -0.5997 (-0.5997) time: 0.3459 data: 0.0003
[11-26 11:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.41 Lm: 6.962 (6.962) Lt: 6.312 (6.312) Accm: 2.35 (2.35) Acct: 3.53 (3.53) proj_loss: -0.6043 (-0.6043) time: 0.3633 data: 0.0003
[11-26 11:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.41 Lm: 6.941 (6.941) Lt: 6.230 (6.230) Accm: 2.32 (2.32) Acct: 3.91 (3.91) proj_loss: -0.5642 (-0.5642) time: 0.3633 data: 0.0003
[11-26 11:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.41 Lm: 6.855 (6.855) Lt: 6.199 (6.199) Accm: 2.56 (2.56) Acct: 3.71 (3.71) proj_loss: -0.5881 (-0.5881) time: 0.3633 data: 0.0003
[11-26 11:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 417/1669] eta: 0:07:33 tlr: 0.00015 tnm: 0.41 Lm: 6.854 (6.854) Lt: 6.148 (6.148) Accm: 2.54 (2.54) Acct: 3.97 (3.97) proj_loss: -0.5906 (-0.5906) time: 0.3633 data: 0.0002
[11-26 11:34:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.863 (6.886) Lt: 6.172 (6.196) Accm: 2.41 (2.47) Acct: 3.87 (3.83) proj_loss: -0.5901 (-0.5880) time: 0.3593 data: 0.0003
[11-26 11:34:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.840 (6.850) Lt: 6.160 (6.178) Accm: 2.36 (2.49) Acct: 3.67 (3.70) proj_loss: -0.5928 (-0.5896) time: 0.3593 data: 0.0002
[11-26 11:34:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.892 (6.925) Lt: 6.149 (6.193) Accm: 2.43 (2.36) Acct: 3.99 (3.94) proj_loss: -0.5761 (-0.5693) time: 0.3593 data: 0.0002
[11-26 11:34:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [ 834/1669] eta: 0:05:02 tlr: 0.00015 tnm: 0.39 Lm: 6.955 (6.937) Lt: 6.298 (6.278) Accm: 2.35 (2.35) Acct: 3.50 (3.52) proj_loss: -0.5997 (-0.5934) time: 0.3593 data: 0.0003
[11-26 11:36:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.929 (6.928) Lt: 6.254 (6.259) Accm: 2.34 (2.35) Acct: 3.54 (3.57) proj_loss: -0.5857 (-0.5866) time: 0.3597 data: 0.0003
[11-26 11:36:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.915 (6.928) Lt: 6.183 (6.199) Accm: 2.42 (2.37) Acct: 4.00 (3.96) proj_loss: -0.5778 (-0.5748) time: 0.3597 data: 0.0002
[11-26 11:36:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.871 (6.865) Lt: 6.191 (6.189) Accm: 2.43 (2.49) Acct: 3.61 (3.66) proj_loss: -0.5865 (-0.5859) time: 0.3597 data: 0.0002
[11-26 11:36:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1251/1669] eta: 0:02:31 tlr: 0.00015 tnm: 0.37 Lm: 6.868 (6.883) Lt: 6.169 (6.188) Accm: 2.54 (2.53) Acct: 3.97 (3.95) proj_loss: -0.5864 (-0.5852) time: 0.3597 data: 0.0002
[11-26 11:39:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.863 (6.863) Lt: 6.165 (6.164) Accm: 2.67 (2.58) Acct: 4.06 (4.00) proj_loss: -0.5901 (-0.5931) time: 0.3624 data: 0.0016
[11-26 11:39:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:10:02 (0.361 s / it)
[11-26 11:39:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.856 (6.864) Lt: 6.175 (6.186) Accm: 2.45 (2.48) Acct: 3.65 (3.66) proj_loss: -0.5928 (-0.5883) time: 0.3624 data: 0.0020
[11-26 11:39:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.903 (6.888) Lt: 6.209 (6.210) Accm: 2.35 (2.40) Acct: 3.58 (3.68) proj_loss: -0.5875 (-0.5868) time: 0.3624 data: 0.0019
[11-26 11:39:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 153/350] [1668/1669] eta: 0:00:00 tlr: 0.00015 tnm: 0.39 Lm: 6.892 (6.901) Lt: 6.149 (6.184) Accm: 2.40 (2.37) Acct: 3.99 (3.89) proj_loss: -0.5795 (-0.5777) time: 0.3624 data: 0.0018
[11-26 11:39:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:10:02 (0.361 s / it)
[11-26 11:39:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:10:02 (0.361 s / it)
[11-26 11:39:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 153/350] Total time: 0:10:02 (0.361 s / it)
[11-26 11:39:09] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.872 (6.880), Lt: 6.173 (6.184), Acc m&t: 2.49 3.92, Remain: 1 day, 9:03:53, Finish: 2024-11-27 04:43
[11-26 11:39:09] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.872 (6.880), Lt: 6.173 (6.184), Acc m&t: 2.49 3.92, Remain: 1 day, 9:03:49, Finish: 2024-11-27 04:42
[11-26 11:39:09] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.872 (6.880), Lt: 6.173 (6.184), Acc m&t: 2.49 3.92, Remain: 1 day, 9:02:10, Finish: 2024-11-27 04:41
[11-26 11:39:09] (/home/user/VAR/train.py , line 276)=> [ep153] (training ) Lm: 6.872 (6.880), Lt: 6.173 (6.184), Acc m&t: 2.49 3.92, Remain: 1 day, 9:02:58, Finish: 2024-11-27 04:42
[11-26 11:39:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:10:06 tlr: 0.00015 tnm: 0.38 Lm: 6.988 (6.988) Lt: 6.313 (6.313) Accm: 2.10 (2.10) Acct: 3.34 (3.34) proj_loss: -0.5959 (-0.5959) time: 0.3635 data: 0.0003
[11-26 11:39:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:10:08 tlr: 0.00015 tnm: 0.38 Lm: 6.806 (6.806) Lt: 6.083 (6.083) Accm: 2.52 (2.52) Acct: 3.98 (3.98) proj_loss: -0.5934 (-0.5934) time: 0.3644 data: 0.0004
[11-26 11:39:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:10:07 tlr: 0.00015 tnm: 0.38 Lm: 6.786 (6.786) Lt: 6.066 (6.066) Accm: 2.88 (2.88) Acct: 4.46 (4.46) proj_loss: -0.5988 (-0.5988) time: 0.3643 data: 0.0004
[11-26 11:39:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 0/1669] eta: 0:10:38 tlr: 0.00015 tnm: 0.38 Lm: 6.868 (6.868) Lt: 6.236 (6.236) Accm: 2.65 (2.65) Acct: 3.89 (3.89) proj_loss: -0.5981 (-0.5981) time: 0.3824 data: 0.0003
[11-26 11:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:07:32 tlr: 0.00015 tnm: 0.39 Lm: 6.845 (6.845) Lt: 6.201 (6.201) Accm: 2.61 (2.61) Acct: 3.92 (3.92) proj_loss: -0.5938 (-0.5938) time: 0.3609 data: 0.0003
[11-26 11:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.39 Lm: 6.769 (6.769) Lt: 6.048 (6.048) Accm: 2.63 (2.63) Acct: 4.08 (4.08) proj_loss: -0.5924 (-0.5924) time: 0.3609 data: 0.0003
[11-26 11:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.39 Lm: 6.813 (6.813) Lt: 6.107 (6.107) Accm: 2.71 (2.71) Acct: 4.22 (4.22) proj_loss: -0.5921 (-0.5921) time: 0.3609 data: 0.0003
[11-26 11:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 417/1669] eta: 0:07:31 tlr: 0.00015 tnm: 0.39 Lm: 6.968 (6.968) Lt: 6.246 (6.246) Accm: 2.23 (2.23) Acct: 3.56 (3.56) proj_loss: -0.5861 (-0.5861) time: 0.3609 data: 0.0003
[11-26 11:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.38 Lm: 6.948 (6.934) Lt: 6.199 (6.230) Accm: 2.36 (2.28) Acct: 3.77 (3.66) proj_loss: -0.5763 (-0.5825) time: 0.3622 data: 0.0003
[11-26 11:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.38 Lm: 6.806 (6.785) Lt: 6.083 (6.076) Accm: 2.74 (2.76) Acct: 4.18 (4.35) proj_loss: -0.5934 (-0.5955) time: 0.3622 data: 0.0003
[11-26 11:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.38 Lm: 6.839 (6.852) Lt: 6.149 (6.155) Accm: 2.55 (2.61) Acct: 3.98 (4.08) proj_loss: -0.5897 (-0.5913) time: 0.3622 data: 0.0003
[11-26 11:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [ 834/1669] eta: 0:05:02 tlr: 0.00014 tnm: 0.38 Lm: 6.824 (6.838) Lt: 6.166 (6.168) Accm: 2.65 (2.63) Acct: 3.94 (4.11) proj_loss: -0.5948 (-0.5941) time: 0.3622 data: 0.0003
[11-26 11:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.846 (6.859) Lt: 6.195 (6.182) Accm: 2.61 (2.56) Acct: 3.92 (3.97) proj_loss: -0.5937 (-0.5938) time: 0.3632 data: 0.0003
[11-26 11:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.811 (6.827) Lt: 6.108 (6.124) Accm: 2.63 (2.61) Acct: 4.08 (4.10) proj_loss: -0.5970 (-0.5968) time: 0.3632 data: 0.0003
[11-26 11:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.821 (6.840) Lt: 6.114 (6.136) Accm: 2.58 (2.61) Acct: 4.06 (4.10) proj_loss: -0.5894 (-0.5907) time: 0.3632 data: 0.0003
[11-26 11:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1251/1669] eta: 0:02:31 tlr: 0.00014 tnm: 0.39 Lm: 6.907 (6.896) Lt: 6.189 (6.206) Accm: 2.38 (2.35) Acct: 3.81 (3.71) proj_loss: -0.5810 (-0.5833) time: 0.3632 data: 0.0003
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.866 (6.872) Lt: 6.178 (6.181) Accm: 2.40 (2.48) Acct: 3.86 (3.95) proj_loss: -0.5858 (-0.5902) time: 0.3644 data: 0.0018
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:10:05 (0.363 s / it)
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.817 (6.876) Lt: 6.133 (6.183) Accm: 2.52 (2.53) Acct: 3.98 (3.99) proj_loss: -0.5934 (-0.5959) time: 0.3644 data: 0.0018
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.839 (6.848) Lt: 6.149 (6.148) Accm: 2.55 (2.56) Acct: 3.98 (4.02) proj_loss: -0.5890 (-0.5887) time: 0.3644 data: 0.0019
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 154/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.868 (6.884) Lt: 6.224 (6.206) Accm: 2.56 (2.48) Acct: 3.89 (3.89) proj_loss: -0.5927 (-0.5888) time: 0.3644 data: 0.0019
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:10:05 (0.363 s / it)
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:10:05 (0.363 s / it)
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 154/350] Total time: 0:10:05 (0.363 s / it)
[11-26 11:49:15] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.872 (6.882), Lt: 6.173 (6.188), Acc m&t: 2.49 3.92, Remain: 1 day, 9:06:02, Finish: 2024-11-27 04:55
[11-26 11:49:15] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.872 (6.882), Lt: 6.173 (6.188), Acc m&t: 2.49 3.92, Remain: 1 day, 9:03:54, Finish: 2024-11-27 04:53
[11-26 11:49:15] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.872 (6.882), Lt: 6.173 (6.188), Acc m&t: 2.49 3.92, Remain: 1 day, 9:06:04, Finish: 2024-11-27 04:55
[11-26 11:49:15] (/home/user/VAR/train.py , line 276)=> [ep154] (training ) Lm: 6.872 (6.882), Lt: 6.173 (6.188), Acc m&t: 2.49 3.92, Remain: 1 day, 9:05:52, Finish: 2024-11-27 04:55
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:09:50 tlr: 0.00014 tnm: 0.38 Lm: 6.822 (6.822) Lt: 6.111 (6.111) Accm: 2.73 (2.73) Acct: 4.30 (4.30) proj_loss: -0.5935 (-0.5935) time: 0.3540 data: 0.0004
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:09:51 tlr: 0.00014 tnm: 0.38 Lm: 6.747 (6.747) Lt: 6.036 (6.036) Accm: 2.78 (2.78) Acct: 4.12 (4.12) proj_loss: -0.5875 (-0.5875) time: 0.3546 data: 0.0003
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:09:50 tlr: 0.00014 tnm: 0.38 Lm: 6.905 (6.905) Lt: 6.213 (6.213) Accm: 2.47 (2.47) Acct: 3.72 (3.72) proj_loss: -0.5839 (-0.5839) time: 0.3536 data: 0.0003
[11-26 11:49:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 0/1669] eta: 0:09:51 tlr: 0.00014 tnm: 0.38 Lm: 6.915 (6.915) Lt: 6.140 (6.140) Accm: 2.19 (2.19) Acct: 3.29 (3.29) proj_loss: -0.5780 (-0.5780) time: 0.3542 data: 0.0004
[11-26 11:51:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:07:53 tlr: 0.00014 tnm: 0.38 Lm: 6.930 (6.930) Lt: 6.226 (6.226) Accm: 2.21 (2.21) Acct: 3.33 (3.33) proj_loss: -0.5865 (-0.5865) time: 0.3582 data: 0.0003
[11-26 11:51:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:07:53 tlr: 0.00014 tnm: 0.38 Lm: 6.908 (6.908) Lt: 6.221 (6.221) Accm: 2.39 (2.39) Acct: 3.62 (3.62) proj_loss: -0.5745 (-0.5745) time: 0.3582 data: 0.0002
[11-26 11:51:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:07:53 tlr: 0.00014 tnm: 0.38 Lm: 6.912 (6.912) Lt: 6.213 (6.213) Accm: 2.39 (2.39) Acct: 3.76 (3.76) proj_loss: -0.5916 (-0.5916) time: 0.3582 data: 0.0003
[11-26 11:51:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 417/1669] eta: 0:07:53 tlr: 0.00014 tnm: 0.38 Lm: 6.863 (6.863) Lt: 6.177 (6.177) Accm: 2.52 (2.52) Acct: 3.88 (3.88) proj_loss: -0.6002 (-0.6002) time: 0.3582 data: 0.0003
[11-26 11:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:05:19 tlr: 0.00014 tnm: 0.38 Lm: 6.971 (6.899) Lt: 6.285 (6.213) Accm: 2.40 (2.48) Acct: 3.67 (3.81) proj_loss: -0.5875 (-0.5942) time: 0.4081 data: 0.0003
[11-26 11:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:05:19 tlr: 0.00014 tnm: 0.38 Lm: 6.822 (6.865) Lt: 6.111 (6.169) Accm: 2.55 (2.44) Acct: 3.79 (3.77) proj_loss: -0.5935 (-0.5926) time: 0.4081 data: 0.0003
[11-26 11:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:05:19 tlr: 0.00014 tnm: 0.38 Lm: 6.910 (6.944) Lt: 6.228 (6.270) Accm: 2.30 (2.24) Acct: 3.51 (3.48) proj_loss: -0.5839 (-0.5780) time: 0.4081 data: 0.0003
[11-26 11:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [ 834/1669] eta: 0:05:19 tlr: 0.00014 tnm: 0.38 Lm: 6.919 (6.926) Lt: 6.180 (6.210) Accm: 2.24 (2.36) Acct: 3.37 (3.58) proj_loss: -0.5874 (-0.5868) time: 0.4081 data: 0.0003
[11-26 11:57:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:02:40 tlr: 0.00014 tnm: 0.36 Lm: 6.922 (6.926) Lt: 6.222 (6.224) Accm: 2.32 (2.37) Acct: 3.56 (3.62) proj_loss: -0.5912 (-0.5908) time: 0.3618 data: 0.0003
[11-26 11:57:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:02:40 tlr: 0.00014 tnm: 0.36 Lm: 6.895 (6.891) Lt: 6.201 (6.200) Accm: 2.53 (2.46) Acct: 3.76 (3.76) proj_loss: -0.5916 (-0.5880) time: 0.3618 data: 0.0003
[11-26 11:57:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:02:40 tlr: 0.00014 tnm: 0.36 Lm: 6.908 (6.898) Lt: 6.221 (6.223) Accm: 2.39 (2.40) Acct: 3.62 (3.73) proj_loss: -0.5845 (-0.5824) time: 0.3618 data: 0.0003
[11-26 11:57:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1251/1669] eta: 0:02:40 tlr: 0.00014 tnm: 0.36 Lm: 6.956 (6.910) Lt: 6.233 (6.205) Accm: 2.40 (2.46) Acct: 3.81 (3.84) proj_loss: -0.5849 (-0.5876) time: 0.3618 data: 0.0003
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.941 (6.896) Lt: 6.181 (6.197) Accm: 2.40 (2.55) Acct: 3.94 (3.98) proj_loss: -0.5875 (-0.5886) time: 0.3634 data: 0.0019
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:10:33 (0.380 s / it)
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.852 (6.883) Lt: 6.168 (6.193) Accm: 2.55 (2.51) Acct: 3.79 (3.84) proj_loss: -0.5896 (-0.5874) time: 0.3634 data: 0.0019
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.910 (6.902) Lt: 6.228 (6.228) Accm: 2.37 (2.40) Acct: 3.55 (3.69) proj_loss: -0.5839 (-0.5826) time: 0.3634 data: 0.0018
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 155/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.919 (6.905) Lt: 6.180 (6.202) Accm: 2.41 (2.41) Acct: 3.74 (3.70) proj_loss: -0.5874 (-0.5895) time: 0.3634 data: 0.0017
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:10:33 (0.380 s / it)
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:10:33 (0.380 s / it)
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 155/350] Total time: 0:10:33 (0.380 s / it)
[11-26 11:59:48] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.872 (6.886), Lt: 6.173 (6.195), Acc m&t: 2.49 3.92, Remain: 1 day, 8:50:02, Finish: 2024-11-27 04:49
[11-26 11:59:48] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.872 (6.886), Lt: 6.173 (6.195), Acc m&t: 2.49 3.92, Remain: 1 day, 8:49:38, Finish: 2024-11-27 04:49
[11-26 11:59:48] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.872 (6.886), Lt: 6.173 (6.195), Acc m&t: 2.49 3.92, Remain: 1 day, 8:49:18, Finish: 2024-11-27 04:49
[11-26 11:59:48] (/home/user/VAR/train.py , line 276)=> [ep155] (training ) Lm: 6.872 (6.886), Lt: 6.173 (6.195), Acc m&t: 2.49 3.92, Remain: 1 day, 8:49:40, Finish: 2024-11-27 04:49
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:10:06 tlr: 0.00014 tnm: 0.40 Lm: 6.843 (6.843) Lt: 6.127 (6.127) Accm: 2.55 (2.55) Acct: 4.03 (4.03) proj_loss: -0.5783 (-0.5783) time: 0.3633 data: 0.0004
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:10:07 tlr: 0.00014 tnm: 0.40 Lm: 6.773 (6.773) Lt: 6.017 (6.017) Accm: 2.99 (2.99) Acct: 4.84 (4.84) proj_loss: -0.5705 (-0.5705) time: 0.3638 data: 0.0003
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:10:00 tlr: 0.00014 tnm: 0.40 Lm: 6.687 (6.687) Lt: 5.956 (5.956) Accm: 2.87 (2.87) Acct: 4.36 (4.36) proj_loss: -0.5783 (-0.5783) time: 0.3595 data: 0.0005
[11-26 11:59:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 0/1669] eta: 0:10:06 tlr: 0.00014 tnm: 0.40 Lm: 7.020 (7.020) Lt: 6.358 (6.358) Accm: 2.17 (2.17) Acct: 3.41 (3.41) proj_loss: -0.5873 (-0.5873) time: 0.3632 data: 0.0003
[11-26 12:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.40 Lm: 6.948 (6.948) Lt: 6.278 (6.278) Accm: 2.35 (2.35) Acct: 3.58 (3.58) proj_loss: -0.5863 (-0.5863) time: 0.3572 data: 0.0003
[11-26 12:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.40 Lm: 6.807 (6.807) Lt: 6.091 (6.091) Accm: 2.71 (2.71) Acct: 4.31 (4.31) proj_loss: -0.5931 (-0.5931) time: 0.3572 data: 0.0003
[11-26 12:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.40 Lm: 6.763 (6.763) Lt: 6.090 (6.090) Accm: 2.62 (2.62) Acct: 3.87 (3.87) proj_loss: -0.5900 (-0.5900) time: 0.3572 data: 0.0003
[11-26 12:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.40 Lm: 6.790 (6.790) Lt: 6.023 (6.023) Accm: 2.90 (2.90) Acct: 4.77 (4.77) proj_loss: -0.5824 (-0.5824) time: 0.3572 data: 0.0003
[11-26 12:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:05:00 tlr: 0.00014 tnm: 0.41 Lm: 6.807 (6.835) Lt: 6.029 (6.093) Accm: 2.80 (2.73) Acct: 4.70 (4.40) proj_loss: -0.5855 (-0.5834) time: 0.3622 data: 0.0003
[11-26 12:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:05:00 tlr: 0.00014 tnm: 0.41 Lm: 6.839 (6.817) Lt: 6.127 (6.105) Accm: 2.55 (2.64) Acct: 4.03 (4.22) proj_loss: -0.5911 (-0.5925) time: 0.3622 data: 0.0002
[11-26 12:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:05:00 tlr: 0.00014 tnm: 0.41 Lm: 6.839 (6.793) Lt: 6.197 (6.126) Accm: 2.67 (2.63) Acct: 4.03 (3.92) proj_loss: -0.5783 (-0.5859) time: 0.3622 data: 0.0003
[11-26 12:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [ 834/1669] eta: 0:05:00 tlr: 0.00014 tnm: 0.41 Lm: 6.876 (6.885) Lt: 6.198 (6.198) Accm: 2.48 (2.39) Acct: 3.75 (3.76) proj_loss: -0.5868 (-0.5865) time: 0.3622 data: 0.0003
[11-26 12:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.38 Lm: 6.892 (6.891) Lt: 6.235 (6.217) Accm: 2.44 (2.39) Acct: 3.58 (3.67) proj_loss: -0.5867 (-0.5865) time: 0.3625 data: 0.0002
[11-26 12:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.38 Lm: 6.845 (6.809) Lt: 6.187 (6.138) Accm: 2.66 (2.64) Acct: 4.05 (3.96) proj_loss: -0.5780 (-0.5836) time: 0.3625 data: 0.0003
[11-26 12:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.38 Lm: 6.841 (6.828) Lt: 6.130 (6.113) Accm: 2.57 (2.63) Acct: 4.03 (4.17) proj_loss: -0.5878 (-0.5904) time: 0.3625 data: 0.0003
[11-26 12:07:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.38 Lm: 6.856 (6.853) Lt: 6.106 (6.115) Accm: 2.70 (2.70) Acct: 4.45 (4.35) proj_loss: -0.5878 (-0.5851) time: 0.3625 data: 0.0003
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.807 (6.837) Lt: 6.062 (6.105) Accm: 2.59 (2.66) Acct: 4.20 (4.31) proj_loss: -0.5901 (-0.5873) time: 0.3614 data: 0.0018
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:10:01 (0.361 s / it)
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.839 (6.810) Lt: 6.127 (6.092) Accm: 2.59 (2.66) Acct: 4.03 (4.24) proj_loss: -0.5911 (-0.5934) time: 0.3614 data: 0.0020
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.852 (6.837) Lt: 6.197 (6.167) Accm: 2.64 (2.58) Acct: 4.03 (3.81) proj_loss: -0.5783 (-0.5859) time: 0.3614 data: 0.0019
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 156/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.907 (6.896) Lt: 6.227 (6.219) Accm: 2.48 (2.41) Acct: 3.75 (3.72) proj_loss: -0.5868 (-0.5873) time: 0.3614 data: 0.0013
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:10:01 (0.361 s / it)
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:10:01 (0.360 s / it)
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 156/350] Total time: 0:10:01 (0.361 s / it)
[11-26 12:09:50] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.872 (6.877), Lt: 6.173 (6.178), Acc m&t: 2.50 3.94, Remain: 1 day, 8:35:15, Finish: 2024-11-27 04:45
[11-26 12:09:50] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.872 (6.877), Lt: 6.173 (6.178), Acc m&t: 2.50 3.94, Remain: 1 day, 8:35:05, Finish: 2024-11-27 04:44
[11-26 12:09:50] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.872 (6.877), Lt: 6.173 (6.178), Acc m&t: 2.50 3.94, Remain: 1 day, 8:36:13, Finish: 2024-11-27 04:46
[11-26 12:09:50] (/home/user/VAR/train.py , line 276)=> [ep156] (training ) Lm: 6.872 (6.877), Lt: 6.173 (6.178), Acc m&t: 2.50 3.94, Remain: 1 day, 8:35:50, Finish: 2024-11-27 04:45
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.38 Lm: 6.742 (6.742) Lt: 6.067 (6.067) Accm: 2.62 (2.62) Acct: 3.93 (3.93) proj_loss: -0.6042 (-0.6042) time: 0.3446 data: 0.0004
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.38 Lm: 6.904 (6.904) Lt: 6.195 (6.195) Accm: 2.44 (2.44) Acct: 4.03 (4.03) proj_loss: -0.5748 (-0.5748) time: 0.3451 data: 0.0003
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.38 Lm: 6.971 (6.971) Lt: 6.285 (6.285) Accm: 2.40 (2.40) Acct: 3.87 (3.87) proj_loss: -0.5995 (-0.5995) time: 0.3450 data: 0.0004
[11-26 12:09:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 0/1669] eta: 0:09:33 tlr: 0.00014 tnm: 0.38 Lm: 6.808 (6.808) Lt: 6.127 (6.127) Accm: 2.82 (2.82) Acct: 4.34 (4.34) proj_loss: -0.5910 (-0.5910) time: 0.3436 data: 0.0004
[11-26 12:12:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:07:32 tlr: 0.00014 tnm: 0.40 Lm: 6.842 (6.842) Lt: 6.131 (6.131) Accm: 2.64 (2.64) Acct: 4.21 (4.21) proj_loss: -0.5851 (-0.5851) time: 0.3604 data: 0.0002
[11-26 12:12:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:07:32 tlr: 0.00014 tnm: 0.40 Lm: 6.836 (6.836) Lt: 6.143 (6.143) Accm: 2.78 (2.78) Acct: 4.42 (4.42) proj_loss: -0.5902 (-0.5902) time: 0.3604 data: 0.0003
[11-26 12:12:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:07:32 tlr: 0.00014 tnm: 0.40 Lm: 6.975 (6.975) Lt: 6.297 (6.297) Accm: 2.25 (2.25) Acct: 3.75 (3.75) proj_loss: -0.5961 (-0.5961) time: 0.3604 data: 0.0002
[11-26 12:12:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 417/1669] eta: 0:07:32 tlr: 0.00014 tnm: 0.40 Lm: 6.774 (6.774) Lt: 6.083 (6.083) Accm: 2.65 (2.65) Acct: 3.99 (3.99) proj_loss: -0.6002 (-0.6002) time: 0.3604 data: 0.0003
[11-26 12:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.768 (6.772) Lt: 6.067 (6.056) Accm: 2.64 (2.65) Acct: 4.06 (4.02) proj_loss: -0.5962 (-0.5941) time: 0.3608 data: 0.0003
[11-26 12:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.877 (6.874) Lt: 6.135 (6.164) Accm: 2.46 (2.51) Acct: 4.08 (3.97) proj_loss: -0.5791 (-0.5821) time: 0.3608 data: 0.0003
[11-26 12:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.904 (6.945) Lt: 6.195 (6.252) Accm: 2.41 (2.30) Acct: 3.68 (3.73) proj_loss: -0.5781 (-0.5901) time: 0.3608 data: 0.0002
[11-26 12:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.971 (6.886) Lt: 6.281 (6.189) Accm: 2.52 (2.70) Acct: 4.01 (4.29) proj_loss: -0.5808 (-0.5867) time: 0.3608 data: 0.0003
[11-26 12:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.39 Lm: 6.967 (6.905) Lt: 6.283 (6.224) Accm: 2.46 (2.51) Acct: 3.94 (3.96) proj_loss: -0.5902 (-0.5939) time: 0.3605 data: 0.0003
[11-26 12:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.39 Lm: 6.883 (6.877) Lt: 6.177 (6.177) Accm: 2.55 (2.55) Acct: 4.01 (3.96) proj_loss: -0.5776 (-0.5794) time: 0.3605 data: 0.0003
[11-26 12:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.39 Lm: 6.895 (6.911) Lt: 6.178 (6.215) Accm: 2.43 (2.39) Acct: 3.86 (3.87) proj_loss: -0.5765 (-0.5863) time: 0.3604 data: 0.0003
[11-26 12:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.39 Lm: 6.787 (6.832) Lt: 6.083 (6.130) Accm: 2.63 (2.57) Acct: 3.99 (3.89) proj_loss: -0.5891 (-0.5887) time: 0.3605 data: 0.0003
[11-26 12:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.806 (6.855) Lt: 6.099 (6.153) Accm: 2.62 (2.48) Acct: 3.93 (3.77) proj_loss: -0.5865 (-0.5882) time: 0.3985 data: 0.0017
[11-26 12:19:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:10:06 (0.363 s / it)
[11-26 12:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.877 (6.874) Lt: 6.146 (6.171) Accm: 2.51 (2.54) Acct: 3.98 (3.97) proj_loss: -0.5762 (-0.5767) time: 0.3985 data: 0.0017
[11-26 12:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.962 (6.903) Lt: 6.281 (6.220) Accm: 2.40 (2.48) Acct: 3.94 (3.96) proj_loss: -0.5995 (-0.5952) time: 0.3985 data: 0.0020
[11-26 12:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 157/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.886 (6.898) Lt: 6.161 (6.204) Accm: 2.43 (2.40) Acct: 3.86 (3.87) proj_loss: -0.5781 (-0.5860) time: 0.3985 data: 0.0017
[11-26 12:19:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:10:06 (0.363 s / it)
[11-26 12:19:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:10:06 (0.363 s / it)
[11-26 12:19:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 157/350] Total time: 0:10:06 (0.363 s / it)
[11-26 12:19:56] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.872 (6.875), Lt: 6.173 (6.182), Acc m&t: 2.50 3.94, Remain: 1 day, 8:29:03, Finish: 2024-11-27 04:49
[11-26 12:19:56] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.872 (6.875), Lt: 6.173 (6.182), Acc m&t: 2.50 3.94, Remain: 1 day, 8:30:05, Finish: 2024-11-27 04:50
[11-26 12:19:56] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.872 (6.875), Lt: 6.173 (6.182), Acc m&t: 2.50 3.94, Remain: 1 day, 8:27:59, Finish: 2024-11-27 04:47
[11-26 12:19:56] (/home/user/VAR/train.py , line 276)=> [ep157] (training ) Lm: 6.872 (6.875), Lt: 6.173 (6.182), Acc m&t: 2.50 3.94, Remain: 1 day, 8:29:20, Finish: 2024-11-27 04:49
[11-26 12:19:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:09:42 tlr: 0.00014 tnm: 0.40 Lm: 6.767 (6.767) Lt: 6.093 (6.093) Accm: 2.75 (2.75) Acct: 4.60 (4.60) proj_loss: -0.5950 (-0.5950) time: 0.3492 data: 0.0004
[11-26 12:19:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:09:40 tlr: 0.00014 tnm: 0.40 Lm: 6.823 (6.823) Lt: 6.107 (6.107) Accm: 2.48 (2.48) Acct: 4.25 (4.25) proj_loss: -0.5803 (-0.5803) time: 0.3480 data: 0.0004
[11-26 12:19:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:09:38 tlr: 0.00014 tnm: 0.40 Lm: 7.031 (7.031) Lt: 6.375 (6.375) Accm: 2.24 (2.24) Acct: 3.62 (3.62) proj_loss: -0.5903 (-0.5903) time: 0.3466 data: 0.0004
[11-26 12:19:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 0/1669] eta: 0:09:44 tlr: 0.00014 tnm: 0.40 Lm: 6.874 (6.874) Lt: 6.171 (6.171) Accm: 2.45 (2.45) Acct: 3.75 (3.75) proj_loss: -0.5890 (-0.5890) time: 0.3501 data: 0.0003
[11-26 12:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:08:08 tlr: 0.00014 tnm: 0.41 Lm: 6.853 (6.853) Lt: 6.122 (6.122) Accm: 2.48 (2.48) Acct: 3.88 (3.88) proj_loss: -0.5923 (-0.5923) time: 0.4071 data: 0.0003
[11-26 12:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:08:08 tlr: 0.00014 tnm: 0.41 Lm: 6.943 (6.943) Lt: 6.276 (6.276) Accm: 2.37 (2.37) Acct: 3.84 (3.84) proj_loss: -0.5911 (-0.5911) time: 0.4071 data: 0.0002
[11-26 12:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:08:08 tlr: 0.00014 tnm: 0.41 Lm: 7.000 (7.000) Lt: 6.353 (6.353) Accm: 2.23 (2.23) Acct: 3.34 (3.34) proj_loss: -0.5840 (-0.5840) time: 0.4071 data: 0.0003
[11-26 12:22:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 417/1669] eta: 0:08:08 tlr: 0.00014 tnm: 0.41 Lm: 6.823 (6.823) Lt: 6.115 (6.115) Accm: 2.53 (2.53) Acct: 4.22 (4.22) proj_loss: -0.5786 (-0.5786) time: 0.4071 data: 0.0003
[11-26 12:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:05:21 tlr: 0.00014 tnm: 0.39 Lm: 6.824 (6.838) Lt: 6.124 (6.133) Accm: 2.48 (2.48) Acct: 4.18 (4.11) proj_loss: -0.5803 (-0.5807) time: 0.4025 data: 0.0003
[11-26 12:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:05:21 tlr: 0.00014 tnm: 0.39 Lm: 7.012 (6.966) Lt: 6.302 (6.285) Accm: 1.99 (2.19) Acct: 3.08 (3.44) proj_loss: -0.5873 (-0.5861) time: 0.4024 data: 0.0003
[11-26 12:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:05:21 tlr: 0.00014 tnm: 0.39 Lm: 6.874 (6.866) Lt: 6.150 (6.132) Accm: 2.49 (2.48) Acct: 4.01 (3.98) proj_loss: -0.5890 (-0.5866) time: 0.4025 data: 0.0003
[11-26 12:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [ 834/1669] eta: 0:05:21 tlr: 0.00014 tnm: 0.39 Lm: 7.017 (7.006) Lt: 6.375 (6.369) Accm: 2.24 (2.25) Acct: 3.58 (3.42) proj_loss: -0.5809 (-0.5830) time: 0.4025 data: 0.0003
[11-26 12:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:02:40 tlr: 0.00014 tnm: 0.38 Lm: 6.993 (6.977) Lt: 6.353 (6.323) Accm: 2.27 (2.26) Acct: 3.58 (3.46) proj_loss: -0.5796 (-0.5818) time: 0.3605 data: 0.0003
[11-26 12:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:02:40 tlr: 0.00014 tnm: 0.38 Lm: 6.943 (6.943) Lt: 6.217 (6.246) Accm: 2.30 (2.29) Acct: 3.55 (3.58) proj_loss: -0.5868 (-0.5862) time: 0.3605 data: 0.0003
[11-26 12:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:02:40 tlr: 0.00014 tnm: 0.38 Lm: 6.823 (6.816) Lt: 6.115 (6.100) Accm: 2.52 (2.50) Acct: 4.11 (4.09) proj_loss: -0.5826 (-0.5863) time: 0.3605 data: 0.0003
[11-26 12:27:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1251/1669] eta: 0:02:40 tlr: 0.00014 tnm: 0.38 Lm: 6.882 (6.882) Lt: 6.161 (6.159) Accm: 2.47 (2.46) Acct: 3.92 (3.94) proj_loss: -0.5923 (-0.5907) time: 0.3605 data: 0.0003
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.874 (6.918) Lt: 6.132 (6.217) Accm: 2.48 (2.33) Acct: 3.89 (3.64) proj_loss: -0.5864 (-0.5840) time: 0.3617 data: 0.0019
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.969 (6.960) Lt: 6.332 (6.306) Accm: 2.24 (2.25) Acct: 3.58 (3.46) proj_loss: -0.5809 (-0.5867) time: 0.3617 data: 0.0015
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.824 (6.823) Lt: 6.124 (6.112) Accm: 2.56 (2.52) Acct: 4.18 (4.11) proj_loss: -0.5848 (-0.5886) time: 0.3617 data: 0.0018
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 158/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.38 Lm: 6.890 (6.892) Lt: 6.159 (6.159) Accm: 2.45 (2.42) Acct: 3.86 (3.92) proj_loss: -0.5890 (-0.5888) time: 0.3617 data: 0.0018
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:10:32 (0.379 s / it)
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:10:32 (0.379 s / it)
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:10:32 (0.379 s / it)
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 158/350] Total time: 0:10:32 (0.379 s / it)
[11-26 12:30:29] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.872 (6.878), Lt: 6.173 (6.180), Acc m&t: 2.50 3.94, Remain: 1 day, 8:14:26, Finish: 2024-11-27 04:44
[11-26 12:30:29] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.872 (6.878), Lt: 6.173 (6.180), Acc m&t: 2.50 3.94, Remain: 1 day, 8:13:33, Finish: 2024-11-27 04:44
[11-26 12:30:29] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.872 (6.878), Lt: 6.173 (6.180), Acc m&t: 2.50 3.94, Remain: 1 day, 8:14:15, Finish: 2024-11-27 04:44
[11-26 12:30:29] (/home/user/VAR/train.py , line 276)=> [ep158] (training ) Lm: 6.872 (6.878), Lt: 6.173 (6.180), Acc m&t: 2.50 3.94, Remain: 1 day, 8:14:34, Finish: 2024-11-27 04:45
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:09:28 tlr: 0.00014 tnm: 0.39 Lm: 6.912 (6.912) Lt: 6.165 (6.165) Accm: 2.51 (2.51) Acct: 4.41 (4.41) proj_loss: -0.5821 (-0.5821) time: 0.3408 data: 0.0003
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:09:29 tlr: 0.00014 tnm: 0.39 Lm: 6.970 (6.970) Lt: 6.233 (6.233) Accm: 2.36 (2.36) Acct: 3.81 (3.81) proj_loss: -0.5769 (-0.5769) time: 0.3412 data: 0.0004
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:09:29 tlr: 0.00014 tnm: 0.39 Lm: 7.048 (7.048) Lt: 6.411 (6.411) Accm: 2.03 (2.03) Acct: 3.10 (3.10) proj_loss: -0.5845 (-0.5845) time: 0.3413 data: 0.0004
[11-26 12:30:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 0/1669] eta: 0:09:30 tlr: 0.00014 tnm: 0.39 Lm: 6.823 (6.823) Lt: 6.141 (6.141) Accm: 2.78 (2.78) Acct: 4.39 (4.39) proj_loss: -0.5884 (-0.5884) time: 0.3418 data: 0.0003
[11-26 12:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:07:30 tlr: 0.00014 tnm: 0.44 Lm: 6.800 (6.800) Lt: 6.095 (6.095) Accm: 2.77 (2.77) Acct: 4.36 (4.36) proj_loss: -0.5848 (-0.5848) time: 0.3580 data: 0.0003
[11-26 12:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:07:30 tlr: 0.00014 tnm: 0.44 Lm: 6.848 (6.848) Lt: 6.142 (6.142) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.5835 (-0.5835) time: 0.3580 data: 0.0003
[11-26 12:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:07:30 tlr: 0.00014 tnm: 0.44 Lm: 6.904 (6.904) Lt: 6.199 (6.199) Accm: 2.57 (2.57) Acct: 4.31 (4.31) proj_loss: -0.5857 (-0.5857) time: 0.3580 data: 0.0002
[11-26 12:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 417/1669] eta: 0:07:30 tlr: 0.00014 tnm: 0.44 Lm: 6.952 (6.952) Lt: 6.278 (6.278) Accm: 2.33 (2.33) Acct: 3.70 (3.70) proj_loss: -0.5795 (-0.5795) time: 0.3580 data: 0.0003
[11-26 12:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:05:00 tlr: 0.00014 tnm: 0.40 Lm: 6.856 (6.914) Lt: 6.145 (6.222) Accm: 2.47 (2.37) Acct: 4.25 (3.89) proj_loss: -0.5744 (-0.5774) time: 0.3600 data: 0.0003
[11-26 12:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:05:00 tlr: 0.00014 tnm: 0.40 Lm: 6.895 (6.867) Lt: 6.165 (6.183) Accm: 2.62 (2.68) Acct: 4.41 (4.45) proj_loss: -0.5892 (-0.5884) time: 0.3600 data: 0.0003
[11-26 12:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:05:00 tlr: 0.00014 tnm: 0.40 Lm: 6.865 (6.854) Lt: 6.211 (6.165) Accm: 2.70 (2.73) Acct: 4.48 (4.40) proj_loss: -0.5867 (-0.5846) time: 0.3600 data: 0.0003
[11-26 12:35:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [ 834/1669] eta: 0:05:00 tlr: 0.00014 tnm: 0.40 Lm: 6.777 (6.778) Lt: 6.050 (6.069) Accm: 2.78 (2.84) Acct: 4.39 (4.51) proj_loss: -0.5839 (-0.5845) time: 0.3600 data: 0.0003
[11-26 12:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.36 Lm: 6.800 (6.814) Lt: 6.095 (6.111) Accm: 2.77 (2.72) Acct: 4.36 (4.26) proj_loss: -0.5855 (-0.5851) time: 0.3614 data: 0.0002
[11-26 12:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.36 Lm: 6.877 (6.863) Lt: 6.222 (6.186) Accm: 2.63 (2.69) Acct: 4.23 (4.30) proj_loss: -0.5846 (-0.5841) time: 0.3614 data: 0.0003
[11-26 12:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.36 Lm: 6.894 (6.873) Lt: 6.186 (6.189) Accm: 2.65 (2.68) Acct: 4.37 (4.42) proj_loss: -0.5916 (-0.5916) time: 0.3614 data: 0.0003
[11-26 12:38:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.36 Lm: 6.846 (6.858) Lt: 6.127 (6.162) Accm: 2.55 (2.52) Acct: 4.28 (4.02) proj_loss: -0.5795 (-0.5799) time: 0.3614 data: 0.0003
[11-26 12:40:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.837 (6.823) Lt: 6.110 (6.126) Accm: 2.62 (2.62) Acct: 4.30 (4.15) proj_loss: -0.5845 (-0.5842) time: 0.3643 data: 0.0021
[11-26 12:40:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:10:01 (0.360 s / it)
[11-26 12:40:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.890 (6.892) Lt: 6.233 (6.213) Accm: 2.57 (2.57) Acct: 3.98 (4.04) proj_loss: -0.5867 (-0.5848) time: 0.3643 data: 0.0021
[11-26 12:40:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.893 (6.850) Lt: 6.165 (6.161) Accm: 2.67 (2.71) Acct: 4.41 (4.47) proj_loss: -0.5892 (-0.5894) time: 0.3643 data: 0.0019
[11-26 12:40:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 159/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.42 Lm: 6.823 (6.827) Lt: 6.093 (6.107) Accm: 2.75 (2.66) Acct: 4.34 (4.23) proj_loss: -0.5839 (-0.5815) time: 0.3643 data: 0.0018
[11-26 12:40:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:10:01 (0.360 s / it)
[11-26 12:40:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:10:01 (0.360 s / it)
[11-26 12:40:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 159/350] Total time: 0:10:01 (0.360 s / it)
[11-26 12:42:42] (home/user/VAR/trainer.py, line 114)=> FID: 4.824013214965078
[11-26 12:42:43] (/home/user/VAR/train.py , line 259)=> [*] [ep159] (val 50000) Lm: 6.8691, Lt: 6.1753, Acc m&t: 2.52 3.96, Val cost: 132.52s
[11-26 12:42:43] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 12:42:51] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.869 (6.869), Lt: 6.173 (6.175), Acc m&t: 2.52 3.96, Remain: 1 day, 8:00:41, Finish: 2024-11-27 04:41
[11-26 12:42:51] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.869 (6.869), Lt: 6.173 (6.175), Acc m&t: 2.52 3.96, Remain: 1 day, 8:00:40, Finish: 2024-11-27 04:41
[11-26 12:42:51] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.869 (6.869), Lt: 6.173 (6.175), Acc m&t: 2.52 3.96, Remain: 1 day, 8:00:53, Finish: 2024-11-27 04:41
[11-26 12:42:51] (/home/user/VAR/train.py , line 276)=> [ep159] (training ) Lm: 6.869 (6.869), Lt: 6.173 (6.175), Acc m&t: 2.52 3.96, Remain: 1 day, 8:00:18, Finish: 2024-11-27 04:40
[11-26 12:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:09:32 tlr: 0.00014 tnm: 0.39 Lm: 6.782 (6.782) Lt: 6.076 (6.076) Accm: 2.75 (2.75) Acct: 4.61 (4.61) proj_loss: -0.6199 (-0.6199) time: 0.3429 data: 0.0004
[11-26 12:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:09:27 tlr: 0.00014 tnm: 0.39 Lm: 6.852 (6.852) Lt: 6.118 (6.118) Accm: 2.44 (2.44) Acct: 3.77 (3.77) proj_loss: -0.5807 (-0.5807) time: 0.3401 data: 0.0004
[11-26 12:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:10:15 tlr: 0.00014 tnm: 0.39 Lm: 6.849 (6.849) Lt: 6.058 (6.058) Accm: 2.71 (2.71) Acct: 4.41 (4.41) proj_loss: -0.5705 (-0.5705) time: 0.3687 data: 0.0003
[11-26 12:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 0/1669] eta: 0:09:24 tlr: 0.00014 tnm: 0.39 Lm: 6.886 (6.886) Lt: 6.155 (6.155) Accm: 2.35 (2.35) Acct: 3.70 (3.70) proj_loss: -0.6019 (-0.6019) time: 0.3385 data: 0.0004
[11-26 12:45:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.39 Lm: 6.914 (6.914) Lt: 6.169 (6.169) Accm: 2.41 (2.41) Acct: 3.81 (3.81) proj_loss: -0.5874 (-0.5874) time: 0.3610 data: 0.0003
[11-26 12:45:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.39 Lm: 6.885 (6.885) Lt: 6.169 (6.169) Accm: 2.47 (2.47) Acct: 4.00 (4.00) proj_loss: -0.5942 (-0.5942) time: 0.3610 data: 0.0002
[11-26 12:45:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.39 Lm: 6.753 (6.753) Lt: 5.993 (5.993) Accm: 2.92 (2.92) Acct: 4.62 (4.62) proj_loss: -0.5770 (-0.5770) time: 0.3610 data: 0.0003
[11-26 12:45:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.39 Lm: 6.890 (6.890) Lt: 6.191 (6.191) Accm: 2.31 (2.31) Acct: 3.49 (3.49) proj_loss: -0.5880 (-0.5880) time: 0.3610 data: 0.0003
[11-26 12:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.918 (6.899) Lt: 6.184 (6.189) Accm: 2.32 (2.31) Acct: 3.77 (3.59) proj_loss: -0.5820 (-0.5860) time: 0.3595 data: 0.0003
[11-26 12:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.782 (6.844) Lt: 6.076 (6.133) Accm: 2.71 (2.55) Acct: 4.49 (4.17) proj_loss: -0.6173 (-0.6019) time: 0.3595 data: 0.0003
[11-26 12:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.848 (6.784) Lt: 6.058 (6.031) Accm: 2.71 (2.78) Acct: 4.41 (4.41) proj_loss: -0.5714 (-0.5751) time: 0.3595 data: 0.0003
[11-26 12:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.941 (6.949) Lt: 6.183 (6.235) Accm: 2.35 (2.33) Acct: 3.70 (3.70) proj_loss: -0.5789 (-0.5846) time: 0.3595 data: 0.0003
[11-26 12:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.38 Lm: 6.965 (6.959) Lt: 6.260 (6.260) Accm: 2.25 (2.25) Acct: 3.59 (3.54) proj_loss: -0.5869 (-0.5871) time: 0.3593 data: 0.0003
[11-26 12:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.38 Lm: 6.923 (6.915) Lt: 6.224 (6.214) Accm: 2.29 (2.30) Acct: 3.54 (3.52) proj_loss: -0.5855 (-0.5868) time: 0.3593 data: 0.0003
[11-26 12:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.38 Lm: 6.843 (6.859) Lt: 6.126 (6.144) Accm: 2.67 (2.57) Acct: 4.46 (4.23) proj_loss: -0.5965 (-0.5953) time: 0.3593 data: 0.0002
[11-26 12:50:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.38 Lm: 6.848 (6.810) Lt: 6.083 (6.076) Accm: 2.64 (2.73) Acct: 4.26 (4.33) proj_loss: -0.5775 (-0.5817) time: 0.3593 data: 0.0002
[11-26 12:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.848 (6.811) Lt: 6.066 (6.074) Accm: 2.68 (2.72) Acct: 4.30 (4.33) proj_loss: -0.5835 (-0.5865) time: 0.3628 data: 0.0021
[11-26 12:53:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:10:10 (0.366 s / it)
[11-26 12:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.904 (6.871) Lt: 6.176 (6.166) Accm: 2.62 (2.51) Acct: 4.42 (4.07) proj_loss: -0.5757 (-0.5913) time: 0.3628 data: 0.0016
[11-26 12:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.918 (6.877) Lt: 6.184 (6.184) Accm: 2.32 (2.40) Acct: 3.77 (3.68) proj_loss: -0.5890 (-0.5876) time: 0.3628 data: 0.0015
[11-26 12:53:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 160/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.941 (6.955) Lt: 6.223 (6.253) Accm: 2.35 (2.31) Acct: 3.70 (3.62) proj_loss: -0.5789 (-0.5845) time: 0.3628 data: 0.0016
[11-26 12:53:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:10:10 (0.366 s / it)
[11-26 12:53:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:10:10 (0.366 s / it)
[11-26 12:53:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 160/350] Total time: 0:10:10 (0.366 s / it)
[11-26 12:53:01] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.869 (6.871), Lt: 6.170 (6.170), Acc m&t: 2.52 3.96, Remain: 1 day, 8:01:39, Finish: 2024-11-27 04:54
[11-26 12:53:01] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.869 (6.871), Lt: 6.170 (6.170), Acc m&t: 2.52 3.96, Remain: 1 day, 8:02:58, Finish: 2024-11-27 04:55
[11-26 12:53:01] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.869 (6.871), Lt: 6.170 (6.170), Acc m&t: 2.52 3.96, Remain: 1 day, 7:57:23, Finish: 2024-11-27 04:50
[11-26 12:53:01] (/home/user/VAR/train.py , line 276)=> [ep160] (training ) Lm: 6.869 (6.871), Lt: 6.170 (6.170), Acc m&t: 2.52 3.96, Remain: 1 day, 8:02:33, Finish: 2024-11-27 04:55
[11-26 12:53:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:10:14 tlr: 0.00014 tnm: 0.40 Lm: 6.821 (6.821) Lt: 6.086 (6.086) Accm: 2.93 (2.93) Acct: 4.72 (4.72) proj_loss: -0.5801 (-0.5801) time: 0.3683 data: 0.0003
[11-26 12:53:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:10:21 tlr: 0.00014 tnm: 0.40 Lm: 6.816 (6.816) Lt: 6.076 (6.076) Accm: 2.59 (2.59) Acct: 3.94 (3.94) proj_loss: -0.5727 (-0.5727) time: 0.3722 data: 0.0004
[11-26 12:53:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:11:47 tlr: 0.00014 tnm: 0.40 Lm: 6.913 (6.913) Lt: 6.250 (6.250) Accm: 2.40 (2.40) Acct: 3.82 (3.82) proj_loss: -0.5892 (-0.5892) time: 0.4240 data: 0.0004
[11-26 12:53:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 0/1669] eta: 0:10:21 tlr: 0.00014 tnm: 0.40 Lm: 6.941 (6.941) Lt: 6.232 (6.232) Accm: 2.50 (2.50) Acct: 4.08 (4.08) proj_loss: -0.5705 (-0.5705) time: 0.3722 data: 0.0004
[11-26 12:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.40 Lm: 6.910 (6.910) Lt: 6.204 (6.204) Accm: 2.45 (2.45) Acct: 4.02 (4.02) proj_loss: -0.5748 (-0.5748) time: 0.3588 data: 0.0003
[11-26 12:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.40 Lm: 6.843 (6.843) Lt: 6.116 (6.116) Accm: 2.82 (2.82) Acct: 4.61 (4.61) proj_loss: -0.5876 (-0.5876) time: 0.3588 data: 0.0003
[11-26 12:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.40 Lm: 6.921 (6.921) Lt: 6.271 (6.271) Accm: 2.25 (2.25) Acct: 3.56 (3.56) proj_loss: -0.5841 (-0.5841) time: 0.3587 data: 0.0003
[11-26 12:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.40 Lm: 6.796 (6.796) Lt: 6.067 (6.067) Accm: 2.70 (2.70) Acct: 4.22 (4.22) proj_loss: -0.5758 (-0.5758) time: 0.3588 data: 0.0003
[11-26 12:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.38 Lm: 6.816 (6.819) Lt: 6.076 (6.095) Accm: 2.59 (2.64) Acct: 3.94 (4.03) proj_loss: -0.5790 (-0.5769) time: 0.3580 data: 0.0003
[11-26 12:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.38 Lm: 6.865 (6.859) Lt: 6.145 (6.143) Accm: 2.70 (2.67) Acct: 4.49 (4.25) proj_loss: -0.5801 (-0.5835) time: 0.3580 data: 0.0002
[11-26 12:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.38 Lm: 6.878 (6.873) Lt: 6.177 (6.161) Accm: 2.43 (2.44) Acct: 3.96 (3.94) proj_loss: -0.5791 (-0.5790) time: 0.3580 data: 0.0003
[11-26 12:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [ 834/1669] eta: 0:05:22 tlr: 0.00014 tnm: 0.38 Lm: 6.913 (6.873) Lt: 6.250 (6.187) Accm: 2.40 (2.41) Acct: 3.82 (3.80) proj_loss: -0.5790 (-0.5668) time: 0.3580 data: 0.0003
[11-26 13:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:02:39 tlr: 0.00014 tnm: 0.38 Lm: 6.864 (6.859) Lt: 6.186 (6.171) Accm: 2.56 (2.49) Acct: 4.00 (3.90) proj_loss: -0.5837 (-0.5722) time: 0.3604 data: 0.0003
[11-26 13:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:02:39 tlr: 0.00014 tnm: 0.38 Lm: 6.878 (6.872) Lt: 6.171 (6.162) Accm: 2.54 (2.55) Acct: 4.01 (4.04) proj_loss: -0.5843 (-0.5847) time: 0.3604 data: 0.0004
[11-26 13:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:02:39 tlr: 0.00014 tnm: 0.38 Lm: 6.841 (6.858) Lt: 6.113 (6.136) Accm: 2.55 (2.50) Acct: 3.80 (3.93) proj_loss: -0.5774 (-0.5766) time: 0.3604 data: 0.0002
[11-26 13:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1251/1669] eta: 0:02:39 tlr: 0.00014 tnm: 0.38 Lm: 6.875 (6.873) Lt: 6.164 (6.158) Accm: 2.44 (2.45) Acct: 3.92 (3.93) proj_loss: -0.5775 (-0.5782) time: 0.3603 data: 0.0003
[11-26 13:03:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.866 (6.879) Lt: 6.150 (6.166) Accm: 2.51 (2.39) Acct: 3.65 (3.82) proj_loss: -0.5790 (-0.5788) time: 0.3630 data: 0.0016
[11-26 13:03:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.890 (6.877) Lt: 6.183 (6.166) Accm: 2.37 (2.52) Acct: 3.62 (3.96) proj_loss: -0.5847 (-0.5847) time: 0.3630 data: 0.0019
[11-26 13:03:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.872 (6.871) Lt: 6.152 (6.153) Accm: 2.45 (2.49) Acct: 3.96 (3.99) proj_loss: -0.5759 (-0.5773) time: 0.3630 data: 0.0018
[11-26 13:03:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 161/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.913 (6.884) Lt: 6.250 (6.193) Accm: 2.40 (2.43) Acct: 3.82 (3.81) proj_loss: -0.5884 (-0.5762) time: 0.3630 data: 0.0014
[11-26 13:03:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:10:27 (0.376 s / it)
[11-26 13:03:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:10:27 (0.376 s / it)
[11-26 13:03:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:10:27 (0.376 s / it)
[11-26 13:03:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 161/350] Total time: 0:10:27 (0.376 s / it)
[11-26 13:03:29] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.869 (6.881), Lt: 6.170 (6.186), Acc m&t: 2.52 3.96, Remain: 1 day, 7:48:22, Finish: 2024-11-27 04:51
[11-26 13:03:29] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.869 (6.881), Lt: 6.170 (6.186), Acc m&t: 2.52 3.96, Remain: 1 day, 7:48:13, Finish: 2024-11-27 04:51
[11-26 13:03:29] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.869 (6.881), Lt: 6.170 (6.186), Acc m&t: 2.52 3.96, Remain: 1 day, 7:48:26, Finish: 2024-11-27 04:51
[11-26 13:03:29] (/home/user/VAR/train.py , line 276)=> [ep161] (training ) Lm: 6.869 (6.881), Lt: 6.170 (6.186), Acc m&t: 2.52 3.96, Remain: 1 day, 7:47:56, Finish: 2024-11-27 04:51
[11-26 13:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.39 Lm: 6.868 (6.868) Lt: 6.228 (6.228) Accm: 2.49 (2.49) Acct: 3.91 (3.91) proj_loss: -0.6053 (-0.6053) time: 0.3446 data: 0.0003
[11-26 13:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.39 Lm: 6.775 (6.775) Lt: 6.071 (6.071) Accm: 2.77 (2.77) Acct: 4.58 (4.58) proj_loss: -0.5766 (-0.5766) time: 0.3448 data: 0.0004
[11-26 13:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.39 Lm: 6.972 (6.972) Lt: 6.334 (6.334) Accm: 2.16 (2.16) Acct: 3.51 (3.51) proj_loss: -0.5860 (-0.5860) time: 0.3448 data: 0.0004
[11-26 13:03:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 0/1669] eta: 0:09:35 tlr: 0.00014 tnm: 0.39 Lm: 7.012 (7.012) Lt: 6.312 (6.312) Accm: 2.10 (2.10) Acct: 3.20 (3.20) proj_loss: -0.5925 (-0.5925) time: 0.3449 data: 0.0004
[11-26 13:06:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.39 Lm: 6.898 (6.898) Lt: 6.225 (6.225) Accm: 2.45 (2.45) Acct: 3.56 (3.56) proj_loss: -0.5949 (-0.5949) time: 0.3609 data: 0.0003
[11-26 13:06:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.39 Lm: 6.804 (6.804) Lt: 6.107 (6.107) Accm: 2.67 (2.67) Acct: 4.29 (4.29) proj_loss: -0.5819 (-0.5819) time: 0.3609 data: 0.0002
[11-26 13:06:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.39 Lm: 6.903 (6.903) Lt: 6.253 (6.253) Accm: 2.49 (2.49) Acct: 3.95 (3.95) proj_loss: -0.5895 (-0.5895) time: 0.3609 data: 0.0003
[11-26 13:06:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.39 Lm: 6.790 (6.790) Lt: 6.111 (6.111) Accm: 2.70 (2.70) Acct: 4.21 (4.21) proj_loss: -0.6128 (-0.6128) time: 0.3609 data: 0.0003
[11-26 13:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.42 Lm: 6.838 (6.806) Lt: 6.099 (6.107) Accm: 2.64 (2.68) Acct: 4.20 (4.21) proj_loss: -0.6053 (-0.6061) time: 0.3625 data: 0.0002
[11-26 13:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.42 Lm: 6.775 (6.786) Lt: 6.071 (6.074) Accm: 2.72 (2.69) Acct: 4.27 (4.28) proj_loss: -0.5816 (-0.5818) time: 0.3625 data: 0.0003
[11-26 13:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.42 Lm: 6.834 (6.876) Lt: 6.171 (6.208) Accm: 2.76 (2.58) Acct: 4.27 (4.06) proj_loss: -0.5860 (-0.5842) time: 0.3625 data: 0.0003
[11-26 13:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.42 Lm: 6.939 (6.912) Lt: 6.185 (6.212) Accm: 2.22 (2.37) Acct: 3.63 (3.58) proj_loss: -0.5925 (-0.5893) time: 0.3625 data: 0.0003
[11-26 13:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.39 Lm: 6.939 (6.918) Lt: 6.249 (6.241) Accm: 2.38 (2.41) Acct: 3.60 (3.58) proj_loss: -0.5864 (-0.5870) time: 0.3568 data: 0.0003
[11-26 13:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.39 Lm: 6.892 (6.895) Lt: 6.203 (6.215) Accm: 2.59 (2.54) Acct: 4.08 (4.02) proj_loss: -0.5798 (-0.5803) time: 0.3568 data: 0.0003
[11-26 13:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.39 Lm: 6.804 (6.809) Lt: 6.107 (6.101) Accm: 2.65 (2.64) Acct: 4.22 (4.25) proj_loss: -0.5834 (-0.5827) time: 0.3568 data: 0.0003
[11-26 13:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.39 Lm: 6.826 (6.808) Lt: 6.121 (6.116) Accm: 2.68 (2.69) Acct: 4.19 (4.20) proj_loss: -0.5989 (-0.5994) time: 0.3567 data: 0.0002
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.815 (6.809) Lt: 6.137 (6.120) Accm: 2.64 (2.67) Acct: 4.20 (4.23) proj_loss: -0.5926 (-0.5979) time: 0.3625 data: 0.0018
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:10:02 (0.361 s / it)
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.853 (6.886) Lt: 6.218 (6.215) Accm: 2.55 (2.54) Acct: 3.89 (3.95) proj_loss: -0.5853 (-0.5813) time: 0.3625 data: 0.0020
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.834 (6.820) Lt: 6.142 (6.117) Accm: 2.59 (2.63) Acct: 4.17 (4.18) proj_loss: -0.5816 (-0.5821) time: 0.3625 data: 0.0020
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 162/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.40 Lm: 6.939 (6.926) Lt: 6.242 (6.241) Accm: 2.51 (2.43) Acct: 3.63 (3.62) proj_loss: -0.5803 (-0.5837) time: 0.3625 data: 0.0020
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:10:02 (0.361 s / it)
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:10:02 (0.361 s / it)
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 162/350] Total time: 0:10:02 (0.361 s / it)
[11-26 13:13:32] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.863 (6.863), Lt: 6.162 (6.162), Acc m&t: 2.52 3.96, Remain: 1 day, 7:35:18, Finish: 2024-11-27 04:48
[11-26 13:13:32] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.863 (6.863), Lt: 6.162 (6.162), Acc m&t: 2.52 3.96, Remain: 1 day, 7:35:08, Finish: 2024-11-27 04:48
[11-26 13:13:32] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.863 (6.863), Lt: 6.162 (6.162), Acc m&t: 2.52 3.96, Remain: 1 day, 7:35:40, Finish: 2024-11-27 04:49
[11-26 13:13:32] (/home/user/VAR/train.py , line 276)=> [ep162] (training ) Lm: 6.863 (6.863), Lt: 6.162 (6.162), Acc m&t: 2.52 3.96, Remain: 1 day, 7:35:11, Finish: 2024-11-27 04:48
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:09:42 tlr: 0.00014 tnm: 0.38 Lm: 6.861 (6.861) Lt: 6.163 (6.163) Accm: 2.56 (2.56) Acct: 4.15 (4.15) proj_loss: -0.5820 (-0.5820) time: 0.3491 data: 0.0003
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:09:45 tlr: 0.00014 tnm: 0.38 Lm: 6.775 (6.775) Lt: 6.094 (6.094) Accm: 2.96 (2.96) Acct: 4.48 (4.48) proj_loss: -0.5911 (-0.5911) time: 0.3508 data: 0.0003
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:09:44 tlr: 0.00014 tnm: 0.38 Lm: 6.673 (6.673) Lt: 5.898 (5.898) Accm: 2.97 (2.97) Acct: 4.75 (4.75) proj_loss: -0.5724 (-0.5724) time: 0.3500 data: 0.0004
[11-26 13:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 0/1669] eta: 0:10:23 tlr: 0.00014 tnm: 0.38 Lm: 6.876 (6.876) Lt: 6.179 (6.179) Accm: 2.45 (2.45) Acct: 3.82 (3.82) proj_loss: -0.5638 (-0.5638) time: 0.3734 data: 0.0003
[11-26 13:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:07:32 tlr: 0.00014 tnm: 0.39 Lm: 6.893 (6.893) Lt: 6.181 (6.181) Accm: 2.49 (2.49) Acct: 4.04 (4.04) proj_loss: -0.5754 (-0.5754) time: 0.3609 data: 0.0003
[11-26 13:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:07:32 tlr: 0.00014 tnm: 0.39 Lm: 6.916 (6.916) Lt: 6.245 (6.245) Accm: 2.10 (2.10) Acct: 3.34 (3.34) proj_loss: -0.5907 (-0.5907) time: 0.3610 data: 0.0003
[11-26 13:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:07:32 tlr: 0.00014 tnm: 0.39 Lm: 6.759 (6.759) Lt: 6.032 (6.032) Accm: 2.79 (2.79) Acct: 4.55 (4.55) proj_loss: -0.5860 (-0.5860) time: 0.3610 data: 0.0003
[11-26 13:16:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 417/1669] eta: 0:07:32 tlr: 0.00014 tnm: 0.39 Lm: 6.869 (6.869) Lt: 6.192 (6.192) Accm: 2.63 (2.63) Acct: 4.08 (4.08) proj_loss: -0.5954 (-0.5954) time: 0.3610 data: 0.0003
[11-26 13:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.41 Lm: 6.861 (6.866) Lt: 6.115 (6.167) Accm: 2.58 (2.61) Acct: 4.22 (4.13) proj_loss: -0.5911 (-0.5923) time: 0.3608 data: 0.0003
[11-26 13:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.41 Lm: 6.861 (6.857) Lt: 6.163 (6.167) Accm: 2.56 (2.27) Acct: 4.13 (3.60) proj_loss: -0.5993 (-0.5946) time: 0.3608 data: 0.0003
[11-26 13:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.41 Lm: 6.910 (6.899) Lt: 6.179 (6.171) Accm: 2.45 (2.44) Acct: 3.84 (3.97) proj_loss: -0.5869 (-0.5838) time: 0.3608 data: 0.0003
[11-26 13:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.41 Lm: 6.768 (6.762) Lt: 6.023 (6.029) Accm: 2.62 (2.73) Acct: 4.34 (4.47) proj_loss: -0.5824 (-0.5848) time: 0.3609 data: 0.0003
[11-26 13:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.40 Lm: 6.806 (6.800) Lt: 6.094 (6.071) Accm: 2.61 (2.63) Acct: 4.33 (4.20) proj_loss: -0.5774 (-0.5810) time: 0.4415 data: 0.0003
[11-26 13:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.40 Lm: 6.842 (6.855) Lt: 6.105 (6.142) Accm: 2.67 (2.65) Acct: 4.31 (4.20) proj_loss: -0.5886 (-0.5874) time: 0.4415 data: 0.0003
[11-26 13:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.40 Lm: 6.878 (6.866) Lt: 6.194 (6.182) Accm: 2.49 (2.30) Acct: 4.00 (3.67) proj_loss: -0.5907 (-0.5906) time: 0.4415 data: 0.0003
[11-26 13:21:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1251/1669] eta: 0:02:32 tlr: 0.00014 tnm: 0.40 Lm: 6.893 (6.884) Lt: 6.181 (6.174) Accm: 2.49 (2.47) Acct: 3.87 (3.96) proj_loss: -0.5860 (-0.5841) time: 0.4415 data: 0.0003
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.876 (6.822) Lt: 6.179 (6.111) Accm: 2.53 (2.59) Acct: 3.91 (4.17) proj_loss: -0.5850 (-0.5825) time: 0.3634 data: 0.0019
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:10:15 (0.369 s / it)
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.861 (6.859) Lt: 6.163 (6.174) Accm: 2.47 (2.34) Acct: 3.87 (3.68) proj_loss: -0.5820 (-0.5878) time: 0.3634 data: 0.0019
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.844 (6.827) Lt: 6.165 (6.106) Accm: 2.60 (2.55) Acct: 4.32 (4.07) proj_loss: -0.5824 (-0.5851) time: 0.3634 data: 0.0021
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 163/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.37 Lm: 6.824 (6.847) Lt: 6.094 (6.123) Accm: 2.58 (2.63) Acct: 4.24 (4.20) proj_loss: -0.5911 (-0.5893) time: 0.3634 data: 0.0019
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:10:15 (0.369 s / it)
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:10:15 (0.369 s / it)
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 163/350] Total time: 0:10:15 (0.369 s / it)
[11-26 13:23:48] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.863 (6.871), Lt: 6.162 (6.174), Acc m&t: 2.52 3.96, Remain: 1 day, 7:23:50, Finish: 2024-11-27 04:47
[11-26 13:23:48] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.863 (6.871), Lt: 6.162 (6.174), Acc m&t: 2.52 3.96, Remain: 1 day, 7:24:54, Finish: 2024-11-27 04:48
[11-26 13:23:48] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.863 (6.871), Lt: 6.162 (6.174), Acc m&t: 2.52 3.96, Remain: 1 day, 7:23:52, Finish: 2024-11-27 04:47
[11-26 13:23:48] (/home/user/VAR/train.py , line 276)=> [ep163] (training ) Lm: 6.863 (6.871), Lt: 6.162 (6.174), Acc m&t: 2.52 3.96, Remain: 1 day, 7:24:27, Finish: 2024-11-27 04:48
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:09:54 tlr: 0.00014 tnm: 0.40 Lm: 7.001 (7.001) Lt: 6.338 (6.338) Accm: 2.40 (2.40) Acct: 3.67 (3.67) proj_loss: -0.5864 (-0.5864) time: 0.3559 data: 0.0004
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:09:54 tlr: 0.00014 tnm: 0.40 Lm: 6.892 (6.892) Lt: 6.202 (6.202) Accm: 2.54 (2.54) Acct: 4.22 (4.22) proj_loss: -0.5701 (-0.5701) time: 0.3559 data: 0.0004
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:09:54 tlr: 0.00014 tnm: 0.40 Lm: 6.867 (6.867) Lt: 6.165 (6.165) Accm: 2.38 (2.38) Acct: 3.74 (3.74) proj_loss: -0.5787 (-0.5787) time: 0.3564 data: 0.0003
[11-26 13:23:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 0/1669] eta: 0:09:54 tlr: 0.00014 tnm: 0.40 Lm: 6.847 (6.847) Lt: 6.151 (6.151) Accm: 2.73 (2.73) Acct: 4.29 (4.29) proj_loss: -0.5926 (-0.5926) time: 0.3563 data: 0.0003
[11-26 13:26:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:07:54 tlr: 0.00014 tnm: 0.40 Lm: 6.854 (6.854) Lt: 6.148 (6.148) Accm: 2.61 (2.61) Acct: 4.20 (4.20) proj_loss: -0.5890 (-0.5890) time: 0.3583 data: 0.0003
[11-26 13:26:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:07:54 tlr: 0.00014 tnm: 0.40 Lm: 6.911 (6.911) Lt: 6.219 (6.219) Accm: 2.38 (2.38) Acct: 3.86 (3.86) proj_loss: -0.5720 (-0.5720) time: 0.3583 data: 0.0003
[11-26 13:26:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:07:54 tlr: 0.00014 tnm: 0.40 Lm: 6.832 (6.832) Lt: 6.108 (6.108) Accm: 2.38 (2.38) Acct: 3.76 (3.76) proj_loss: -0.5885 (-0.5885) time: 0.3583 data: 0.0003
[11-26 13:26:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 417/1669] eta: 0:07:54 tlr: 0.00014 tnm: 0.40 Lm: 6.936 (6.936) Lt: 6.268 (6.268) Accm: 2.58 (2.58) Acct: 3.95 (3.95) proj_loss: -0.5893 (-0.5893) time: 0.3583 data: 0.0003
[11-26 13:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:05:19 tlr: 0.00014 tnm: 0.40 Lm: 6.870 (6.885) Lt: 6.197 (6.212) Accm: 2.71 (2.62) Acct: 4.17 (4.02) proj_loss: -0.5910 (-0.5899) time: 0.3988 data: 0.0002
[11-26 13:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:05:19 tlr: 0.00014 tnm: 0.40 Lm: 6.817 (6.827) Lt: 6.097 (6.104) Accm: 2.38 (2.48) Acct: 3.79 (3.96) proj_loss: -0.5947 (-0.5906) time: 0.3988 data: 0.0003
[11-26 13:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:05:19 tlr: 0.00014 tnm: 0.40 Lm: 6.860 (6.878) Lt: 6.151 (6.188) Accm: 2.49 (2.47) Acct: 4.12 (3.93) proj_loss: -0.5926 (-0.5942) time: 0.3988 data: 0.0003
[11-26 13:29:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [ 834/1669] eta: 0:05:19 tlr: 0.00014 tnm: 0.40 Lm: 6.892 (6.902) Lt: 6.202 (6.195) Accm: 2.29 (2.35) Acct: 3.81 (3.84) proj_loss: -0.5701 (-0.5656) time: 0.3988 data: 0.0002
[11-26 13:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:02:37 tlr: 0.00014 tnm: 0.41 Lm: 6.888 (6.891) Lt: 6.174 (6.172) Accm: 2.41 (2.47) Acct: 4.01 (4.09) proj_loss: -0.5720 (-0.5706) time: 0.3615 data: 0.0002
[11-26 13:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:02:37 tlr: 0.00014 tnm: 0.41 Lm: 6.936 (6.920) Lt: 6.268 (6.252) Accm: 2.55 (2.50) Acct: 3.92 (3.84) proj_loss: -0.5887 (-0.5843) time: 0.3615 data: 0.0003
[11-26 13:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:02:37 tlr: 0.00014 tnm: 0.41 Lm: 6.854 (6.813) Lt: 6.148 (6.112) Accm: 2.61 (2.62) Acct: 4.20 (4.15) proj_loss: -0.5890 (-0.5908) time: 0.3615 data: 0.0003
[11-26 13:31:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1251/1669] eta: 0:02:37 tlr: 0.00014 tnm: 0.41 Lm: 6.806 (6.819) Lt: 6.106 (6.107) Accm: 2.53 (2.53) Acct: 4.00 (4.02) proj_loss: -0.5965 (-0.5930) time: 0.3615 data: 0.0004
[11-26 13:34:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.796 (6.809) Lt: 6.097 (6.102) Accm: 2.69 (2.60) Acct: 4.22 (4.13) proj_loss: -0.5953 (-0.5935) time: 0.3646 data: 0.0016
[11-26 13:34:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:10:21 (0.372 s / it)
[11-26 13:34:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.892 (6.898) Lt: 6.202 (6.181) Accm: 2.29 (2.43) Acct: 3.81 (3.99) proj_loss: -0.5739 (-0.5733) time: 0.3646 data: 0.0019
[11-26 13:34:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 7.001 (6.945) Lt: 6.338 (6.274) Accm: 2.40 (2.42) Acct: 3.67 (3.69) proj_loss: -0.5885 (-0.5852) time: 0.3646 data: 0.0015
[11-26 13:34:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 164/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.39 Lm: 6.860 (6.827) Lt: 6.151 (6.132) Accm: 2.73 (2.66) Acct: 4.29 (4.21) proj_loss: -0.5926 (-0.5923) time: 0.3646 data: 0.0020
[11-26 13:34:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:10:21 (0.372 s / it)
[11-26 13:34:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:10:21 (0.372 s / it)
[11-26 13:34:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 164/350] Total time: 0:10:21 (0.372 s / it)
[11-26 13:34:09] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.863 (6.879), Lt: 6.162 (6.185), Acc m&t: 2.52 3.96, Remain: 1 day, 7:24:03, Finish: 2024-11-27 04:58
[11-26 13:34:09] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.863 (6.879), Lt: 6.162 (6.185), Acc m&t: 2.52 3.96, Remain: 1 day, 7:22:39, Finish: 2024-11-27 04:56
[11-26 13:34:09] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.863 (6.879), Lt: 6.162 (6.185), Acc m&t: 2.52 3.96, Remain: 1 day, 7:21:57, Finish: 2024-11-27 04:56
[11-26 13:34:09] (/home/user/VAR/train.py , line 276)=> [ep164] (training ) Lm: 6.863 (6.879), Lt: 6.162 (6.185), Acc m&t: 2.52 3.96, Remain: 1 day, 7:22:41, Finish: 2024-11-27 04:56
[11-26 13:34:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:09:50 tlr: 0.00014 tnm: 0.39 Lm: 6.724 (6.724) Lt: 6.044 (6.044) Accm: 2.61 (2.61) Acct: 3.86 (3.86) proj_loss: -0.6012 (-0.6012) time: 0.3537 data: 0.0003
[11-26 13:34:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:09:53 tlr: 0.00014 tnm: 0.39 Lm: 6.808 (6.808) Lt: 6.130 (6.130) Accm: 2.51 (2.51) Acct: 3.89 (3.89) proj_loss: -0.6027 (-0.6027) time: 0.3556 data: 0.0004
[11-26 13:34:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:09:53 tlr: 0.00014 tnm: 0.39 Lm: 6.847 (6.847) Lt: 6.180 (6.180) Accm: 2.60 (2.60) Acct: 4.12 (4.12) proj_loss: -0.5983 (-0.5983) time: 0.3556 data: 0.0004
[11-26 13:34:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 0/1669] eta: 0:09:54 tlr: 0.00014 tnm: 0.39 Lm: 6.871 (6.871) Lt: 6.107 (6.107) Accm: 2.69 (2.69) Acct: 4.13 (4.13) proj_loss: -0.5741 (-0.5741) time: 0.3559 data: 0.0004
[11-26 13:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.40 Lm: 6.891 (6.891) Lt: 6.138 (6.138) Accm: 2.50 (2.50) Acct: 3.97 (3.97) proj_loss: -0.5777 (-0.5777) time: 0.3597 data: 0.0003
[11-26 13:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.40 Lm: 6.801 (6.801) Lt: 6.116 (6.116) Accm: 2.56 (2.56) Acct: 3.95 (3.95) proj_loss: -0.5858 (-0.5858) time: 0.3597 data: 0.0003
[11-26 13:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.40 Lm: 6.909 (6.909) Lt: 6.240 (6.240) Accm: 2.36 (2.36) Acct: 3.63 (3.63) proj_loss: -0.5889 (-0.5889) time: 0.3597 data: 0.0003
[11-26 13:36:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 417/1669] eta: 0:07:31 tlr: 0.00014 tnm: 0.40 Lm: 6.792 (6.792) Lt: 6.093 (6.093) Accm: 2.53 (2.53) Acct: 3.87 (3.87) proj_loss: -0.5900 (-0.5900) time: 0.3597 data: 0.0003
[11-26 13:39:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.860 (6.822) Lt: 6.142 (6.138) Accm: 2.45 (2.49) Acct: 3.86 (3.74) proj_loss: -0.6012 (-0.5942) time: 0.3621 data: 0.0003
[11-26 13:39:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.808 (6.861) Lt: 6.130 (6.194) Accm: 2.51 (2.42) Acct: 3.89 (3.72) proj_loss: -0.5991 (-0.5902) time: 0.3621 data: 0.0002
[11-26 13:39:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.849 (6.889) Lt: 6.180 (6.207) Accm: 2.60 (2.46) Acct: 4.12 (3.80) proj_loss: -0.5795 (-0.5844) time: 0.3621 data: 0.0003
[11-26 13:39:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.40 Lm: 6.871 (6.833) Lt: 6.107 (6.088) Accm: 2.69 (2.64) Acct: 4.13 (4.08) proj_loss: -0.5753 (-0.5769) time: 0.3621 data: 0.0003
[11-26 13:41:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.41 Lm: 6.891 (6.878) Lt: 6.138 (6.155) Accm: 2.50 (2.50) Acct: 3.97 (3.89) proj_loss: -0.5783 (-0.5826) time: 0.3602 data: 0.0003
[11-26 13:41:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.41 Lm: 6.862 (6.875) Lt: 6.167 (6.197) Accm: 2.46 (2.42) Acct: 3.77 (3.70) proj_loss: -0.5920 (-0.5889) time: 0.3602 data: 0.0002
[11-26 13:41:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.41 Lm: 6.872 (6.846) Lt: 6.185 (6.163) Accm: 2.43 (2.45) Acct: 3.72 (3.70) proj_loss: -0.6019 (-0.6013) time: 0.3602 data: 0.0003
[11-26 13:41:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1251/1669] eta: 0:02:30 tlr: 0.00014 tnm: 0.41 Lm: 6.908 (6.909) Lt: 6.224 (6.222) Accm: 2.49 (2.44) Acct: 3.92 (3.78) proj_loss: -0.5775 (-0.5816) time: 0.3603 data: 0.0002
[11-26 13:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.948 (6.917) Lt: 6.268 (6.234) Accm: 2.52 (2.46) Acct: 3.72 (3.75) proj_loss: -0.5795 (-0.5820) time: 0.3640 data: 0.0018
[11-26 13:44:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:10:01 (0.361 s / it)
[11-26 13:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.860 (6.844) Lt: 6.144 (6.160) Accm: 2.45 (2.49) Acct: 3.86 (3.77) proj_loss: -0.6012 (-0.5951) time: 0.3640 data: 0.0019
[11-26 13:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.911 (6.899) Lt: 6.170 (6.184) Accm: 2.40 (2.48) Acct: 3.81 (3.86) proj_loss: -0.5814 (-0.5865) time: 0.3640 data: 0.0016
[11-26 13:44:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 165/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.808 (6.853) Lt: 6.130 (6.177) Accm: 2.51 (2.49) Acct: 3.89 (3.76) proj_loss: -0.5991 (-0.5920) time: 0.3640 data: 0.0016
[11-26 13:44:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:10:01 (0.361 s / it)
[11-26 13:44:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:10:01 (0.361 s / it)
[11-26 13:44:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 165/350] Total time: 0:10:01 (0.361 s / it)
[11-26 13:44:11] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.860 (6.860), Lt: 6.162 (6.166), Acc m&t: 2.53 3.96, Remain: 1 day, 7:07:43, Finish: 2024-11-27 04:51
[11-26 13:44:11] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.860 (6.860), Lt: 6.162 (6.166), Acc m&t: 2.53 3.96, Remain: 1 day, 7:08:21, Finish: 2024-11-27 04:52
[11-26 13:44:11] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.860 (6.860), Lt: 6.162 (6.166), Acc m&t: 2.53 3.96, Remain: 1 day, 7:08:08, Finish: 2024-11-27 04:52
[11-26 13:44:11] (/home/user/VAR/train.py , line 276)=> [ep165] (training ) Lm: 6.860 (6.860), Lt: 6.162 (6.166), Acc m&t: 2.53 3.96, Remain: 1 day, 7:08:47, Finish: 2024-11-27 04:52
[11-26 13:44:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:09:34 tlr: 0.00014 tnm: 0.40 Lm: 6.717 (6.717) Lt: 5.997 (5.997) Accm: 2.72 (2.72) Acct: 4.42 (4.42) proj_loss: -0.5954 (-0.5954) time: 0.3442 data: 0.0003
[11-26 13:44:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:10:38 tlr: 0.00014 tnm: 0.40 Lm: 6.903 (6.903) Lt: 6.193 (6.193) Accm: 2.41 (2.41) Acct: 3.87 (3.87) proj_loss: -0.5849 (-0.5849) time: 0.3828 data: 0.0004
[11-26 13:44:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:09:43 tlr: 0.00014 tnm: 0.40 Lm: 6.851 (6.851) Lt: 6.181 (6.181) Accm: 2.24 (2.24) Acct: 3.65 (3.65) proj_loss: -0.5993 (-0.5993) time: 0.3498 data: 0.0004
[11-26 13:44:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 0/1669] eta: 0:09:43 tlr: 0.00014 tnm: 0.40 Lm: 6.799 (6.799) Lt: 6.101 (6.101) Accm: 2.64 (2.64) Acct: 3.96 (3.96) proj_loss: -0.5943 (-0.5943) time: 0.3494 data: 0.0003
[11-26 13:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:07:33 tlr: 0.00014 tnm: 0.40 Lm: 6.784 (6.784) Lt: 6.043 (6.043) Accm: 2.67 (2.67) Acct: 4.19 (4.19) proj_loss: -0.5969 (-0.5969) time: 0.3624 data: 0.0003
[11-26 13:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:07:33 tlr: 0.00014 tnm: 0.40 Lm: 6.779 (6.779) Lt: 6.071 (6.071) Accm: 2.62 (2.62) Acct: 4.20 (4.20) proj_loss: -0.5943 (-0.5943) time: 0.3624 data: 0.0003
[11-26 13:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:07:33 tlr: 0.00014 tnm: 0.40 Lm: 6.945 (6.945) Lt: 6.249 (6.249) Accm: 2.34 (2.34) Acct: 3.74 (3.74) proj_loss: -0.5791 (-0.5791) time: 0.3624 data: 0.0003
[11-26 13:46:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 417/1669] eta: 0:07:33 tlr: 0.00014 tnm: 0.40 Lm: 6.902 (6.902) Lt: 6.224 (6.224) Accm: 2.28 (2.28) Acct: 3.69 (3.69) proj_loss: -0.6016 (-0.6016) time: 0.3624 data: 0.0003
[11-26 13:49:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.39 Lm: 6.946 (6.917) Lt: 6.267 (6.242) Accm: 2.24 (2.27) Acct: 3.65 (3.55) proj_loss: -0.5993 (-0.5941) time: 0.3626 data: 0.0003
[11-26 13:49:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.39 Lm: 6.903 (6.854) Lt: 6.193 (6.165) Accm: 2.41 (2.61) Acct: 3.87 (4.07) proj_loss: -0.5849 (-0.5859) time: 0.3626 data: 0.0002
[11-26 13:49:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.39 Lm: 6.841 (6.815) Lt: 6.144 (6.112) Accm: 2.51 (2.51) Acct: 3.98 (3.98) proj_loss: -0.5932 (-0.5923) time: 0.3626 data: 0.0004
[11-26 13:49:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [ 834/1669] eta: 0:05:01 tlr: 0.00014 tnm: 0.39 Lm: 6.799 (6.797) Lt: 6.101 (6.064) Accm: 2.64 (2.62) Acct: 4.25 (4.21) proj_loss: -0.5943 (-0.5924) time: 0.3626 data: 0.0003
[11-26 13:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:02:33 tlr: 0.00014 tnm: 0.40 Lm: 6.811 (6.816) Lt: 6.103 (6.086) Accm: 2.58 (2.57) Acct: 4.11 (4.05) proj_loss: -0.5889 (-0.5892) time: 0.3615 data: 0.0003
[11-26 13:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:02:33 tlr: 0.00014 tnm: 0.40 Lm: 6.876 (6.852) Lt: 6.165 (6.158) Accm: 2.46 (2.59) Acct: 3.92 (4.04) proj_loss: -0.5827 (-0.5846) time: 0.3615 data: 0.0002
[11-26 13:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:02:33 tlr: 0.00014 tnm: 0.40 Lm: 6.949 (6.928) Lt: 6.256 (6.243) Accm: 2.28 (2.30) Acct: 3.68 (3.59) proj_loss: -0.6005 (-0.5960) time: 0.3615 data: 0.0003
[11-26 13:51:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1251/1669] eta: 0:02:33 tlr: 0.00014 tnm: 0.40 Lm: 6.862 (6.832) Lt: 6.169 (6.142) Accm: 2.50 (2.51) Acct: 3.79 (3.88) proj_loss: -0.5907 (-0.5909) time: 0.3615 data: 0.0003
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.883 (6.864) Lt: 6.195 (6.169) Accm: 2.48 (2.47) Acct: 3.79 (3.86) proj_loss: -0.5907 (-0.5908) time: 0.3659 data: 0.0018
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:10:19 (0.371 s / it)
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.903 (6.868) Lt: 6.193 (6.171) Accm: 2.41 (2.53) Acct: 3.87 (3.96) proj_loss: -0.5806 (-0.5804) time: 0.3659 data: 0.0016
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.953 (6.971) Lt: 6.267 (6.288) Accm: 2.24 (2.21) Acct: 3.65 (3.51) proj_loss: -0.5993 (-0.5914) time: 0.3659 data: 0.0016
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 166/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.823 (6.826) Lt: 6.105 (6.101) Accm: 2.52 (2.55) Acct: 3.96 (4.04) proj_loss: -0.5943 (-0.5908) time: 0.3659 data: 0.0014
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:10:19 (0.371 s / it)
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:10:19 (0.371 s / it)
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 166/350] Total time: 0:10:19 (0.371 s / it)
[11-26 13:54:31] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.855 (6.855), Lt: 6.158 (6.158), Acc m&t: 2.55 4.01, Remain: 1 day, 7:04:16, Finish: 2024-11-27 04:58
[11-26 13:54:31] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.855 (6.855), Lt: 6.158 (6.158), Acc m&t: 2.55 4.01, Remain: 1 day, 7:04:24, Finish: 2024-11-27 04:58
[11-26 13:54:31] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.855 (6.855), Lt: 6.158 (6.158), Acc m&t: 2.55 4.01, Remain: 1 day, 7:04:09, Finish: 2024-11-27 04:58
[11-26 13:54:31] (/home/user/VAR/train.py , line 276)=> [ep166] (training ) Lm: 6.855 (6.855), Lt: 6.158 (6.158), Acc m&t: 2.55 4.01, Remain: 1 day, 7:03:33, Finish: 2024-11-27 04:58
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:09:53 tlr: 0.00014 tnm: 0.42 Lm: 6.791 (6.791) Lt: 6.070 (6.070) Accm: 2.73 (2.73) Acct: 4.29 (4.29) proj_loss: -0.5894 (-0.5894) time: 0.3556 data: 0.0003
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:09:54 tlr: 0.00014 tnm: 0.42 Lm: 6.821 (6.821) Lt: 6.134 (6.134) Accm: 2.71 (2.71) Acct: 4.06 (4.06) proj_loss: -0.5866 (-0.5866) time: 0.3564 data: 0.0004
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:09:53 tlr: 0.00014 tnm: 0.42 Lm: 6.996 (6.996) Lt: 6.320 (6.320) Accm: 2.10 (2.10) Acct: 3.56 (3.56) proj_loss: -0.5832 (-0.5832) time: 0.3556 data: 0.0004
[11-26 13:54:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 0/1669] eta: 0:09:55 tlr: 0.00014 tnm: 0.42 Lm: 6.922 (6.922) Lt: 6.274 (6.274) Accm: 2.17 (2.17) Acct: 3.25 (3.25) proj_loss: -0.5910 (-0.5910) time: 0.3567 data: 0.0004
[11-26 13:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.39 Lm: 6.914 (6.914) Lt: 6.258 (6.258) Accm: 2.26 (2.26) Acct: 3.40 (3.40) proj_loss: -0.5777 (-0.5777) time: 0.4010 data: 0.0003
[11-26 13:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:08:03 tlr: 0.00014 tnm: 0.39 Lm: 6.856 (6.856) Lt: 6.165 (6.165) Accm: 2.51 (2.51) Acct: 3.83 (3.83) proj_loss: -0.5763 (-0.5763) time: 0.4009 data: 0.0003
[11-26 13:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:08:03 tlr: 0.00014 tnm: 0.39 Lm: 6.895 (6.895) Lt: 6.194 (6.194) Accm: 2.49 (2.49) Acct: 3.87 (3.87) proj_loss: -0.5952 (-0.5952) time: 0.4010 data: 0.0002
[11-26 13:57:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 417/1669] eta: 0:08:02 tlr: 0.00014 tnm: 0.39 Lm: 7.016 (7.016) Lt: 6.337 (6.337) Accm: 2.02 (2.02) Acct: 3.23 (3.23) proj_loss: -0.5784 (-0.5784) time: 0.4010 data: 0.0006
[11-26 13:59:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:05:15 tlr: 0.00014 tnm: 0.38 Lm: 6.996 (6.982) Lt: 6.320 (6.295) Accm: 2.10 (2.17) Acct: 3.56 (3.47) proj_loss: -0.5740 (-0.5769) time: 0.3614 data: 0.0003
[11-26 13:59:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:05:15 tlr: 0.00014 tnm: 0.38 Lm: 6.931 (6.907) Lt: 6.188 (6.192) Accm: 2.42 (2.46) Acct: 3.70 (3.81) proj_loss: -0.5894 (-0.5909) time: 0.3615 data: 0.0003
[11-26 13:59:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:05:15 tlr: 0.00014 tnm: 0.38 Lm: 6.905 (6.868) Lt: 6.242 (6.199) Accm: 2.35 (2.39) Acct: 3.55 (3.62) proj_loss: -0.5910 (-0.5871) time: 0.3615 data: 0.0003
[11-26 13:59:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [ 834/1669] eta: 0:05:15 tlr: 0.00014 tnm: 0.38 Lm: 6.891 (6.900) Lt: 6.196 (6.216) Accm: 2.30 (2.31) Acct: 3.60 (3.51) proj_loss: -0.5660 (-0.5723) time: 0.3615 data: 0.0003
[11-26 14:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.41 Lm: 6.885 (6.895) Lt: 6.220 (6.223) Accm: 2.21 (2.26) Acct: 3.37 (3.42) proj_loss: -0.5731 (-0.5743) time: 0.3595 data: 0.0003
[11-26 14:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.41 Lm: 6.907 (6.901) Lt: 6.203 (6.199) Accm: 2.36 (2.43) Acct: 3.65 (3.76) proj_loss: -0.5896 (-0.5906) time: 0.3595 data: 0.0003
[11-26 14:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.41 Lm: 6.954 (6.934) Lt: 6.266 (6.234) Accm: 2.28 (2.27) Acct: 3.76 (3.62) proj_loss: -0.5786 (-0.5823) time: 0.3595 data: 0.0003
[11-26 14:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1251/1669] eta: 0:02:36 tlr: 0.00014 tnm: 0.41 Lm: 6.857 (6.854) Lt: 6.166 (6.172) Accm: 2.49 (2.47) Acct: 3.81 (3.81) proj_loss: -0.5816 (-0.5834) time: 0.3595 data: 0.0003
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.809 (6.840) Lt: 6.157 (6.169) Accm: 2.62 (2.50) Acct: 3.84 (3.82) proj_loss: -0.5910 (-0.5849) time: 0.3610 data: 0.0017
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.883 (6.892) Lt: 6.188 (6.194) Accm: 2.42 (2.44) Acct: 3.70 (3.83) proj_loss: -0.5898 (-0.5932) time: 0.3610 data: 0.0018
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.878 (6.872) Lt: 6.196 (6.183) Accm: 2.30 (2.40) Acct: 3.60 (3.74) proj_loss: -0.5802 (-0.5781) time: 0.3610 data: 0.0016
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:10:17 (0.370 s / it)
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 167/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.41 Lm: 6.913 (6.918) Lt: 6.212 (6.212) Accm: 2.46 (2.32) Acct: 3.96 (3.71) proj_loss: -0.5740 (-0.5780) time: 0.3610 data: 0.0015
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:10:17 (0.370 s / it)
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:10:17 (0.370 s / it)
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 167/350] Total time: 0:10:17 (0.370 s / it)
[11-26 14:04:49] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.855 (6.871), Lt: 6.158 (6.177), Acc m&t: 2.55 4.01, Remain: 1 day, 6:36:34, Finish: 2024-11-27 04:41
[11-26 14:04:49] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.855 (6.871), Lt: 6.158 (6.177), Acc m&t: 2.55 4.01, Remain: 1 day, 6:35:09, Finish: 2024-11-27 04:39
[11-26 14:04:49] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.855 (6.871), Lt: 6.158 (6.177), Acc m&t: 2.55 4.01, Remain: 1 day, 6:35:03, Finish: 2024-11-27 04:39
[11-26 14:04:49] (/home/user/VAR/train.py , line 276)=> [ep167] (training ) Lm: 6.855 (6.871), Lt: 6.158 (6.177), Acc m&t: 2.55 4.01, Remain: 1 day, 6:34:50, Finish: 2024-11-27 04:39
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:09:37 tlr: 0.00014 tnm: 0.41 Lm: 6.876 (6.876) Lt: 6.157 (6.157) Accm: 2.72 (2.72) Acct: 4.48 (4.48) proj_loss: -0.5833 (-0.5833) time: 0.3458 data: 0.0003
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:09:38 tlr: 0.00014 tnm: 0.41 Lm: 6.969 (6.969) Lt: 6.287 (6.287) Accm: 2.55 (2.55) Acct: 4.17 (4.17) proj_loss: -0.5717 (-0.5717) time: 0.3464 data: 0.0004
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:09:38 tlr: 0.00014 tnm: 0.41 Lm: 6.734 (6.734) Lt: 6.015 (6.015) Accm: 2.72 (2.72) Acct: 4.42 (4.42) proj_loss: -0.5909 (-0.5909) time: 0.3465 data: 0.0004
[11-26 14:04:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 0/1669] eta: 0:09:38 tlr: 0.00014 tnm: 0.41 Lm: 6.841 (6.841) Lt: 6.134 (6.134) Accm: 2.53 (2.53) Acct: 4.18 (4.18) proj_loss: -0.5916 (-0.5916) time: 0.3468 data: 0.0004
[11-26 14:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.42 Lm: 6.832 (6.832) Lt: 6.087 (6.087) Accm: 2.65 (2.65) Acct: 4.43 (4.43) proj_loss: -0.5738 (-0.5738) time: 0.3595 data: 0.0003
[11-26 14:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.42 Lm: 6.964 (6.964) Lt: 6.289 (6.289) Accm: 2.39 (2.39) Acct: 3.71 (3.71) proj_loss: -0.5792 (-0.5792) time: 0.3594 data: 0.0003
[11-26 14:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.42 Lm: 6.830 (6.830) Lt: 6.130 (6.130) Accm: 2.69 (2.69) Acct: 4.36 (4.36) proj_loss: -0.5856 (-0.5856) time: 0.3595 data: 0.0002
[11-26 14:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.42 Lm: 6.765 (6.765) Lt: 6.074 (6.074) Accm: 2.64 (2.64) Acct: 4.30 (4.30) proj_loss: -0.5835 (-0.5835) time: 0.3595 data: 0.0003
[11-26 14:09:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.38 Lm: 6.796 (6.788) Lt: 6.134 (6.100) Accm: 2.56 (2.62) Acct: 4.17 (4.19) proj_loss: -0.5761 (-0.5745) time: 0.3619 data: 0.0003
[11-26 14:09:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.38 Lm: 6.960 (6.909) Lt: 6.287 (6.219) Accm: 2.48 (2.42) Acct: 3.98 (3.80) proj_loss: -0.5867 (-0.5903) time: 0.3619 data: 0.0003
[11-26 14:09:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.38 Lm: 6.824 (6.828) Lt: 6.103 (6.111) Accm: 2.66 (2.61) Acct: 4.25 (4.24) proj_loss: -0.5833 (-0.5823) time: 0.3619 data: 0.0003
[11-26 14:09:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.38 Lm: 6.839 (6.834) Lt: 6.134 (6.113) Accm: 2.63 (2.64) Acct: 4.25 (4.37) proj_loss: -0.5916 (-0.5819) time: 0.3619 data: 0.0003
[11-26 14:12:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 0.40 Lm: 6.888 (6.886) Lt: 6.218 (6.202) Accm: 2.51 (2.47) Acct: 4.06 (3.89) proj_loss: -0.5935 (-0.5928) time: 0.3632 data: 0.0003
[11-26 14:12:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 0.40 Lm: 6.810 (6.820) Lt: 6.111 (6.113) Accm: 2.66 (2.62) Acct: 4.17 (4.20) proj_loss: -0.5839 (-0.5828) time: 0.3632 data: 0.0003
[11-26 14:12:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 0.40 Lm: 6.815 (6.830) Lt: 6.142 (6.127) Accm: 2.56 (2.52) Acct: 4.07 (4.06) proj_loss: -0.5785 (-0.5761) time: 0.3632 data: 0.0003
[11-26 14:12:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 0.40 Lm: 6.840 (6.848) Lt: 6.150 (6.137) Accm: 2.58 (2.57) Acct: 4.22 (4.18) proj_loss: -0.5912 (-0.5841) time: 0.3633 data: 0.0003
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.817 (6.871) Lt: 6.149 (6.186) Accm: 2.55 (2.53) Acct: 4.15 (4.00) proj_loss: -0.5998 (-0.5942) time: 0.3629 data: 0.0017
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.834 (6.863) Lt: 6.150 (6.170) Accm: 2.56 (2.45) Acct: 3.98 (3.95) proj_loss: -0.5809 (-0.5794) time: 0.3629 data: 0.0021
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.824 (6.832) Lt: 6.120 (6.135) Accm: 2.66 (2.60) Acct: 4.08 (4.16) proj_loss: -0.5833 (-0.5826) time: 0.3629 data: 0.0020
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:10:02 (0.361 s / it)
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 168/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.841 (6.872) Lt: 6.166 (6.157) Accm: 2.53 (2.53) Acct: 4.18 (4.07) proj_loss: -0.5908 (-0.5811) time: 0.3629 data: 0.0019
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:10:02 (0.361 s / it)
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:10:02 (0.361 s / it)
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 168/350] Total time: 0:10:02 (0.361 s / it)
[11-26 14:14:52] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.855 (6.860), Lt: 6.158 (6.160), Acc m&t: 2.55 4.01, Remain: 1 day, 6:32:37, Finish: 2024-11-27 04:47
[11-26 14:14:52] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.855 (6.860), Lt: 6.158 (6.160), Acc m&t: 2.55 4.01, Remain: 1 day, 6:33:20, Finish: 2024-11-27 04:48
[11-26 14:14:52] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.855 (6.860), Lt: 6.158 (6.160), Acc m&t: 2.55 4.01, Remain: 1 day, 6:33:45, Finish: 2024-11-27 04:48
[11-26 14:14:52] (/home/user/VAR/train.py , line 276)=> [ep168] (training ) Lm: 6.855 (6.860), Lt: 6.158 (6.160), Acc m&t: 2.55 4.01, Remain: 1 day, 6:33:52, Finish: 2024-11-27 04:48
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:09:49 tlr: 0.00013 tnm: 0.38 Lm: 6.932 (6.932) Lt: 6.261 (6.261) Accm: 2.38 (2.38) Acct: 3.62 (3.62) proj_loss: -0.6000 (-0.6000) time: 0.3533 data: 0.0003
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:09:51 tlr: 0.00013 tnm: 0.38 Lm: 6.983 (6.983) Lt: 6.267 (6.267) Accm: 2.12 (2.12) Acct: 3.41 (3.41) proj_loss: -0.5714 (-0.5714) time: 0.3542 data: 0.0004
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:09:50 tlr: 0.00013 tnm: 0.38 Lm: 6.991 (6.991) Lt: 6.336 (6.336) Accm: 2.19 (2.19) Acct: 3.63 (3.63) proj_loss: -0.5985 (-0.5985) time: 0.3540 data: 0.0004
[11-26 14:14:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 0/1669] eta: 0:09:51 tlr: 0.00013 tnm: 0.38 Lm: 6.997 (6.997) Lt: 6.348 (6.348) Accm: 2.19 (2.19) Acct: 3.37 (3.37) proj_loss: -0.5960 (-0.5960) time: 0.3546 data: 0.0004
[11-26 14:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.40 Lm: 6.980 (6.980) Lt: 6.318 (6.318) Accm: 2.17 (2.17) Acct: 3.39 (3.39) proj_loss: -0.5868 (-0.5868) time: 0.3607 data: 0.0003
[11-26 14:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.40 Lm: 6.949 (6.949) Lt: 6.274 (6.274) Accm: 2.24 (2.24) Acct: 3.51 (3.51) proj_loss: -0.5976 (-0.5976) time: 0.3607 data: 0.0003
[11-26 14:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.40 Lm: 6.920 (6.920) Lt: 6.240 (6.240) Accm: 2.42 (2.42) Acct: 3.82 (3.82) proj_loss: -0.5922 (-0.5922) time: 0.3607 data: 0.0003
[11-26 14:17:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.40 Lm: 6.897 (6.897) Lt: 6.187 (6.187) Accm: 2.36 (2.36) Acct: 3.76 (3.76) proj_loss: -0.5854 (-0.5854) time: 0.3607 data: 0.0003
[11-26 14:19:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:05:05 tlr: 0.00013 tnm: 0.40 Lm: 6.811 (6.831) Lt: 6.106 (6.153) Accm: 2.60 (2.55) Acct: 4.12 (3.89) proj_loss: -0.5788 (-0.5832) time: 0.4049 data: 0.0002
[11-26 14:19:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:05:05 tlr: 0.00013 tnm: 0.40 Lm: 6.906 (6.909) Lt: 6.212 (6.204) Accm: 2.29 (2.39) Acct: 3.63 (3.78) proj_loss: -0.5967 (-0.5966) time: 0.4049 data: 0.0003
[11-26 14:19:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:05:05 tlr: 0.00013 tnm: 0.40 Lm: 6.963 (6.922) Lt: 6.288 (6.248) Accm: 2.19 (2.31) Acct: 3.41 (3.59) proj_loss: -0.5828 (-0.5855) time: 0.4049 data: 0.0003
[11-26 14:19:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [ 834/1669] eta: 0:05:05 tlr: 0.00013 tnm: 0.40 Lm: 6.907 (6.880) Lt: 6.219 (6.188) Accm: 2.46 (2.52) Acct: 4.03 (3.98) proj_loss: -0.6000 (-0.6003) time: 0.4049 data: 0.0002
[11-26 14:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.43 Lm: 6.920 (6.903) Lt: 6.240 (6.212) Accm: 2.42 (2.42) Acct: 3.82 (3.72) proj_loss: -0.6010 (-0.6007) time: 0.3591 data: 0.0003
[11-26 14:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.43 Lm: 6.949 (6.938) Lt: 6.254 (6.228) Accm: 2.24 (2.33) Acct: 3.56 (3.71) proj_loss: -0.5956 (-0.5894) time: 0.3591 data: 0.0002
[11-26 14:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.43 Lm: 6.898 (6.900) Lt: 6.215 (6.221) Accm: 2.36 (2.36) Acct: 3.63 (3.65) proj_loss: -0.5842 (-0.5855) time: 0.3591 data: 0.0003
[11-26 14:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.43 Lm: 6.828 (6.835) Lt: 6.134 (6.155) Accm: 2.56 (2.54) Acct: 3.93 (3.86) proj_loss: -0.5891 (-0.5874) time: 0.3591 data: 0.0003
[11-26 14:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.43 Lm: 6.811 (6.811) Lt: 6.106 (6.118) Accm: 2.60 (2.61) Acct: 4.12 (4.02) proj_loss: -0.5788 (-0.5838) time: 0.3678 data: 0.0017
[11-26 14:25:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:10:23 (0.373 s / it)
[11-26 14:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.43 Lm: 6.906 (6.882) Lt: 6.212 (6.161) Accm: 2.29 (2.43) Acct: 3.63 (3.83) proj_loss: -0.5967 (-0.5942) time: 0.3678 data: 0.0015
[11-26 14:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.43 Lm: 6.907 (6.893) Lt: 6.219 (6.199) Accm: 2.46 (2.43) Acct: 3.94 (3.77) proj_loss: -0.6000 (-0.5971) time: 0.3678 data: 0.0014
[11-26 14:25:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 169/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.43 Lm: 6.932 (6.906) Lt: 6.248 (6.227) Accm: 2.21 (2.33) Acct: 3.41 (3.60) proj_loss: -0.5856 (-0.5866) time: 0.3678 data: 0.0020
[11-26 14:25:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:10:23 (0.373 s / it)
[11-26 14:25:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:10:23 (0.373 s / it)
[11-26 14:25:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 169/350] Total time: 0:10:23 (0.373 s / it)
[11-26 14:27:27] (home/user/VAR/trainer.py, line 114)=> FID: 4.8284367159463955
[11-26 14:27:28] (/home/user/VAR/train.py , line 259)=> [*] [ep169] (val 50000) Lm: 6.8574, Lt: 6.1593, Acc m&t: 2.53 3.98, Val cost: 132.78s
[11-26 14:27:28] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 14:27:37] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.855 (6.857), Lt: 6.158 (6.159), Acc m&t: 2.55 4.01, Remain: 1 day, 6:50:04, Finish: 2024-11-27 05:15
[11-26 14:27:37] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.855 (6.857), Lt: 6.158 (6.159), Acc m&t: 2.55 4.01, Remain: 1 day, 6:49:09, Finish: 2024-11-27 05:14
[11-26 14:27:37] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.855 (6.857), Lt: 6.158 (6.159), Acc m&t: 2.55 4.01, Remain: 1 day, 6:50:22, Finish: 2024-11-27 05:15
[11-26 14:27:37] (/home/user/VAR/train.py , line 276)=> [ep169] (training ) Lm: 6.855 (6.857), Lt: 6.158 (6.159), Acc m&t: 2.55 4.01, Remain: 1 day, 6:49:36, Finish: 2024-11-27 05:14
[11-26 14:27:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:10:09 tlr: 0.00013 tnm: 0.40 Lm: 6.776 (6.776) Lt: 6.080 (6.080) Accm: 2.91 (2.91) Acct: 4.61 (4.61) proj_loss: -0.5677 (-0.5677) time: 0.3654 data: 0.0004
[11-26 14:27:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:10:04 tlr: 0.00013 tnm: 0.40 Lm: 6.881 (6.881) Lt: 6.144 (6.144) Accm: 2.45 (2.45) Acct: 3.98 (3.98) proj_loss: -0.5648 (-0.5648) time: 0.3622 data: 0.0004
[11-26 14:27:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:10:08 tlr: 0.00013 tnm: 0.40 Lm: 7.001 (7.001) Lt: 6.265 (6.265) Accm: 2.23 (2.23) Acct: 3.67 (3.67) proj_loss: -0.5762 (-0.5762) time: 0.3649 data: 0.0004
[11-26 14:27:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 0/1669] eta: 0:10:26 tlr: 0.00013 tnm: 0.40 Lm: 6.805 (6.805) Lt: 6.073 (6.073) Accm: 2.69 (2.69) Acct: 4.44 (4.44) proj_loss: -0.5923 (-0.5923) time: 0.3753 data: 0.0003
[11-26 14:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:07:54 tlr: 0.00013 tnm: 0.42 Lm: 6.801 (6.801) Lt: 6.085 (6.085) Accm: 2.68 (2.68) Acct: 4.37 (4.37) proj_loss: -0.5832 (-0.5832) time: 0.3601 data: 0.0002
[11-26 14:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:07:54 tlr: 0.00013 tnm: 0.42 Lm: 6.856 (6.856) Lt: 6.156 (6.156) Accm: 2.40 (2.40) Acct: 3.68 (3.68) proj_loss: -0.5740 (-0.5740) time: 0.3601 data: 0.0003
[11-26 14:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:07:54 tlr: 0.00013 tnm: 0.42 Lm: 6.765 (6.765) Lt: 6.061 (6.061) Accm: 2.81 (2.81) Acct: 4.41 (4.41) proj_loss: -0.5754 (-0.5754) time: 0.3601 data: 0.0003
[11-26 14:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 417/1669] eta: 0:07:54 tlr: 0.00013 tnm: 0.42 Lm: 6.894 (6.894) Lt: 6.179 (6.179) Accm: 2.52 (2.52) Acct: 4.01 (4.01) proj_loss: -0.5806 (-0.5806) time: 0.3601 data: 0.0003
[11-26 14:32:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:05:10 tlr: 0.00013 tnm: 0.42 Lm: 6.864 (6.884) Lt: 6.135 (6.165) Accm: 2.61 (2.55) Acct: 4.20 (4.07) proj_loss: -0.5827 (-0.5813) time: 0.3590 data: 0.0003
[11-26 14:32:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:05:10 tlr: 0.00013 tnm: 0.42 Lm: 6.830 (6.805) Lt: 6.144 (6.105) Accm: 2.45 (2.59) Acct: 3.98 (3.98) proj_loss: -0.5832 (-0.5833) time: 0.3589 data: 0.0002
[11-26 14:32:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:05:10 tlr: 0.00013 tnm: 0.42 Lm: 6.805 (6.838) Lt: 6.098 (6.123) Accm: 2.67 (2.54) Acct: 4.30 (4.14) proj_loss: -0.5775 (-0.5813) time: 0.3590 data: 0.0003
[11-26 14:32:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [ 834/1669] eta: 0:05:10 tlr: 0.00013 tnm: 0.42 Lm: 6.776 (6.800) Lt: 6.080 (6.090) Accm: 2.72 (2.73) Acct: 4.20 (4.32) proj_loss: -0.5831 (-0.5825) time: 0.3590 data: 0.0003
[11-26 14:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.40 Lm: 6.793 (6.803) Lt: 6.082 (6.089) Accm: 2.65 (2.68) Acct: 4.18 (4.21) proj_loss: -0.5899 (-0.5901) time: 0.3607 data: 0.0003
[11-26 14:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.40 Lm: 6.808 (6.800) Lt: 6.115 (6.100) Accm: 2.44 (2.55) Acct: 3.88 (3.93) proj_loss: -0.5870 (-0.5852) time: 0.3607 data: 0.0003
[11-26 14:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.40 Lm: 6.923 (6.908) Lt: 6.200 (6.205) Accm: 2.42 (2.45) Acct: 3.93 (3.90) proj_loss: -0.5794 (-0.5788) time: 0.3607 data: 0.0003
[11-26 14:35:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1251/1669] eta: 0:02:34 tlr: 0.00013 tnm: 0.40 Lm: 6.801 (6.824) Lt: 6.085 (6.097) Accm: 2.60 (2.54) Acct: 4.24 (4.15) proj_loss: -0.5766 (-0.5799) time: 0.3608 data: 0.0002
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.798 (6.789) Lt: 6.073 (6.061) Accm: 2.67 (2.65) Acct: 4.30 (4.33) proj_loss: -0.5775 (-0.5859) time: 0.3644 data: 0.0015
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:10:14 (0.368 s / it)
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.787 (6.797) Lt: 6.086 (6.093) Accm: 2.45 (2.57) Acct: 3.98 (3.97) proj_loss: -0.5909 (-0.5889) time: 0.3644 data: 0.0020
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.794 (6.801) Lt: 6.084 (6.088) Accm: 2.60 (2.66) Acct: 4.20 (4.24) proj_loss: -0.5831 (-0.5887) time: 0.3644 data: 0.0019
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 170/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.864 (6.884) Lt: 6.135 (6.189) Accm: 2.56 (2.47) Acct: 4.12 (3.94) proj_loss: -0.5827 (-0.5798) time: 0.3644 data: 0.0018
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:10:14 (0.368 s / it)
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:10:14 (0.368 s / it)
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 170/350] Total time: 0:10:14 (0.368 s / it)
[11-26 14:37:51] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.855 (6.865), Lt: 6.158 (6.165), Acc m&t: 2.55 4.01, Remain: 1 day, 6:20:26, Finish: 2024-11-27 04:58
[11-26 14:37:51] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.855 (6.865), Lt: 6.158 (6.165), Acc m&t: 2.55 4.01, Remain: 1 day, 6:21:01, Finish: 2024-11-27 04:58
[11-26 14:37:51] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.855 (6.865), Lt: 6.158 (6.165), Acc m&t: 2.55 4.01, Remain: 1 day, 6:21:05, Finish: 2024-11-27 04:58
[11-26 14:37:51] (/home/user/VAR/train.py , line 276)=> [ep170] (training ) Lm: 6.855 (6.865), Lt: 6.158 (6.165), Acc m&t: 2.55 4.01, Remain: 1 day, 6:20:35, Finish: 2024-11-27 04:58
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:09:46 tlr: 0.00013 tnm: 0.41 Lm: 6.819 (6.819) Lt: 6.099 (6.099) Accm: 2.72 (2.72) Acct: 4.49 (4.49) proj_loss: -0.6034 (-0.6034) time: 0.3513 data: 0.0003
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:10:12 tlr: 0.00013 tnm: 0.41 Lm: 6.979 (6.979) Lt: 6.328 (6.328) Accm: 1.94 (1.94) Acct: 3.01 (3.01) proj_loss: -0.6007 (-0.6007) time: 0.3667 data: 0.0004
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:09:46 tlr: 0.00013 tnm: 0.41 Lm: 6.832 (6.832) Lt: 6.122 (6.122) Accm: 2.65 (2.65) Acct: 4.15 (4.15) proj_loss: -0.6229 (-0.6229) time: 0.3513 data: 0.0003
[11-26 14:37:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 0/1669] eta: 0:09:40 tlr: 0.00013 tnm: 0.41 Lm: 6.921 (6.921) Lt: 6.188 (6.188) Accm: 2.24 (2.24) Acct: 3.60 (3.60) proj_loss: -0.5674 (-0.5674) time: 0.3480 data: 0.0004
[11-26 14:40:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.41 Lm: 6.864 (6.864) Lt: 6.140 (6.140) Accm: 2.55 (2.55) Acct: 4.05 (4.05) proj_loss: -0.5783 (-0.5783) time: 0.3628 data: 0.0003
[11-26 14:40:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.41 Lm: 6.918 (6.918) Lt: 6.192 (6.192) Accm: 2.32 (2.32) Acct: 3.83 (3.83) proj_loss: -0.5997 (-0.5997) time: 0.3628 data: 0.0002
[11-26 14:40:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.41 Lm: 6.910 (6.910) Lt: 6.237 (6.237) Accm: 2.21 (2.21) Acct: 3.50 (3.50) proj_loss: -0.5818 (-0.5818) time: 0.3628 data: 0.0003
[11-26 14:40:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.41 Lm: 6.850 (6.850) Lt: 6.130 (6.130) Accm: 2.56 (2.56) Acct: 4.03 (4.03) proj_loss: -0.6063 (-0.6063) time: 0.3628 data: 0.0003
[11-26 14:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.42 Lm: 6.842 (6.847) Lt: 6.132 (6.131) Accm: 2.60 (2.58) Acct: 4.13 (4.06) proj_loss: -0.5897 (-0.6007) time: 0.3634 data: 0.0003
[11-26 14:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.42 Lm: 6.899 (6.912) Lt: 6.219 (6.201) Accm: 2.40 (2.35) Acct: 3.79 (3.82) proj_loss: -0.6034 (-0.6062) time: 0.3634 data: 0.0002
[11-26 14:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.42 Lm: 6.862 (6.894) Lt: 6.168 (6.214) Accm: 2.47 (2.34) Acct: 3.98 (3.76) proj_loss: -0.5938 (-0.5858) time: 0.3634 data: 0.0003
[11-26 14:42:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.42 Lm: 6.807 (6.829) Lt: 6.092 (6.120) Accm: 2.86 (2.66) Acct: 4.49 (4.24) proj_loss: -0.5892 (-0.5898) time: 0.3634 data: 0.0003
[11-26 14:45:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.822 (6.831) Lt: 6.124 (6.129) Accm: 2.86 (2.71) Acct: 4.47 (4.29) proj_loss: -0.5941 (-0.5921) time: 0.3622 data: 0.0003
[11-26 14:45:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.916 (6.917) Lt: 6.248 (6.220) Accm: 2.40 (2.36) Acct: 3.63 (3.73) proj_loss: -0.6013 (-0.6044) time: 0.3623 data: 0.0003
[11-26 14:45:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.855 (6.856) Lt: 6.135 (6.148) Accm: 2.54 (2.53) Acct: 4.02 (3.90) proj_loss: -0.5929 (-0.5996) time: 0.3622 data: 0.0003
[11-26 14:45:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.40 Lm: 6.863 (6.886) Lt: 6.157 (6.196) Accm: 2.49 (2.38) Acct: 4.02 (3.84) proj_loss: -0.5841 (-0.5830) time: 0.3623 data: 0.0003
[11-26 14:47:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.862 (6.842) Lt: 6.146 (6.142) Accm: 2.52 (2.54) Acct: 4.06 (4.03) proj_loss: -0.5938 (-0.5858) time: 0.3618 data: 0.0013
[11-26 14:47:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:10:03 (0.362 s / it)
[11-26 14:47:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.899 (6.905) Lt: 6.219 (6.194) Accm: 2.41 (2.39) Acct: 3.79 (3.83) proj_loss: -0.5991 (-0.5992) time: 0.3618 data: 0.0017
[11-26 14:47:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.836 (6.859) Lt: 6.156 (6.162) Accm: 2.86 (2.63) Acct: 4.44 (4.18) proj_loss: -0.5892 (-0.5907) time: 0.3618 data: 0.0016
[11-26 14:47:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 171/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.842 (6.844) Lt: 6.138 (6.151) Accm: 2.48 (2.48) Acct: 3.91 (3.78) proj_loss: -0.5897 (-0.5965) time: 0.3618 data: 0.0017
[11-26 14:47:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:10:03 (0.362 s / it)
[11-26 14:47:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:10:03 (0.362 s / it)
[11-26 14:47:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 171/350] Total time: 0:10:03 (0.362 s / it)
[11-26 14:47:54] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.855 (6.874), Lt: 6.158 (6.180), Acc m&t: 2.55 4.01, Remain: 1 day, 6:08:32, Finish: 2024-11-27 04:56
[11-26 14:47:54] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.855 (6.874), Lt: 6.158 (6.180), Acc m&t: 2.55 4.01, Remain: 1 day, 6:09:02, Finish: 2024-11-27 04:56
[11-26 14:47:54] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.855 (6.874), Lt: 6.158 (6.180), Acc m&t: 2.55 4.01, Remain: 1 day, 6:08:19, Finish: 2024-11-27 04:56
[11-26 14:47:54] (/home/user/VAR/train.py , line 276)=> [ep171] (training ) Lm: 6.855 (6.874), Lt: 6.158 (6.180), Acc m&t: 2.55 4.01, Remain: 1 day, 6:08:45, Finish: 2024-11-27 04:56
[11-26 14:47:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:09:55 tlr: 0.00013 tnm: 0.40 Lm: 6.849 (6.849) Lt: 6.180 (6.180) Accm: 2.48 (2.48) Acct: 3.94 (3.94) proj_loss: -0.5812 (-0.5812) time: 0.3569 data: 0.0003
[11-26 14:47:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:09:53 tlr: 0.00013 tnm: 0.40 Lm: 6.937 (6.937) Lt: 6.272 (6.272) Accm: 2.51 (2.51) Acct: 3.82 (3.82) proj_loss: -0.6073 (-0.6073) time: 0.3555 data: 0.0004
[11-26 14:47:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:09:52 tlr: 0.00013 tnm: 0.40 Lm: 6.914 (6.914) Lt: 6.250 (6.250) Accm: 2.28 (2.28) Acct: 3.58 (3.58) proj_loss: -0.5884 (-0.5884) time: 0.3550 data: 0.0004
[11-26 14:47:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 0/1669] eta: 0:09:53 tlr: 0.00013 tnm: 0.40 Lm: 6.877 (6.877) Lt: 6.162 (6.162) Accm: 2.30 (2.30) Acct: 3.70 (3.70) proj_loss: -0.5774 (-0.5774) time: 0.3558 data: 0.0004
[11-26 14:50:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.40 Lm: 6.834 (6.834) Lt: 6.108 (6.108) Accm: 2.44 (2.44) Acct: 4.03 (4.03) proj_loss: -0.5856 (-0.5856) time: 0.3599 data: 0.0003
[11-26 14:50:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.40 Lm: 6.850 (6.850) Lt: 6.174 (6.174) Accm: 2.58 (2.58) Acct: 4.12 (4.12) proj_loss: -0.5927 (-0.5927) time: 0.3599 data: 0.0003
[11-26 14:50:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.40 Lm: 6.860 (6.860) Lt: 6.159 (6.159) Accm: 2.48 (2.48) Acct: 3.87 (3.87) proj_loss: -0.5842 (-0.5842) time: 0.3599 data: 0.0003
[11-26 14:50:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.40 Lm: 6.851 (6.851) Lt: 6.164 (6.164) Accm: 2.49 (2.49) Acct: 3.90 (3.90) proj_loss: -0.6045 (-0.6045) time: 0.3599 data: 0.0002
[11-26 14:53:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:05:08 tlr: 0.00013 tnm: 0.43 Lm: 6.815 (6.839) Lt: 6.106 (6.144) Accm: 2.51 (2.58) Acct: 3.98 (4.01) proj_loss: -0.6016 (-0.5995) time: 0.3603 data: 0.0003
[11-26 14:53:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:05:08 tlr: 0.00013 tnm: 0.43 Lm: 6.850 (6.891) Lt: 6.180 (6.204) Accm: 2.48 (2.43) Acct: 3.94 (3.86) proj_loss: -0.5812 (-0.5853) time: 0.3603 data: 0.0003
[11-26 14:53:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:05:08 tlr: 0.00013 tnm: 0.43 Lm: 6.790 (6.778) Lt: 6.054 (6.054) Accm: 2.58 (2.71) Acct: 4.36 (4.40) proj_loss: -0.5938 (-0.5926) time: 0.3603 data: 0.0003
[11-26 14:53:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [ 834/1669] eta: 0:05:08 tlr: 0.00013 tnm: 0.43 Lm: 6.805 (6.837) Lt: 6.069 (6.129) Accm: 2.68 (2.59) Acct: 4.17 (4.10) proj_loss: -0.5801 (-0.5828) time: 0.3603 data: 0.0003
[11-26 14:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.39 Lm: 6.860 (6.867) Lt: 6.159 (6.163) Accm: 2.48 (2.49) Acct: 3.89 (3.98) proj_loss: -0.5800 (-0.5795) time: 0.4036 data: 0.0003
[11-26 14:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.39 Lm: 6.792 (6.822) Lt: 6.081 (6.120) Accm: 2.63 (2.63) Acct: 4.11 (4.13) proj_loss: -0.5955 (-0.5941) time: 0.4036 data: 0.0003
[11-26 14:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.39 Lm: 6.834 (6.816) Lt: 6.108 (6.108) Accm: 2.50 (2.64) Acct: 4.16 (4.29) proj_loss: -0.6003 (-0.5988) time: 0.4036 data: 0.0003
[11-26 14:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1251/1669] eta: 0:02:36 tlr: 0.00013 tnm: 0.39 Lm: 6.850 (6.834) Lt: 6.174 (6.144) Accm: 2.58 (2.57) Acct: 4.12 (4.07) proj_loss: -0.5927 (-0.5924) time: 0.4036 data: 0.0003
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.849 (6.808) Lt: 6.167 (6.111) Accm: 2.69 (2.65) Acct: 4.29 (4.20) proj_loss: -0.6025 (-0.5944) time: 0.4094 data: 0.0016
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:10:27 (0.376 s / it)
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.850 (6.823) Lt: 6.097 (6.106) Accm: 2.43 (2.57) Acct: 3.96 (4.23) proj_loss: -0.5938 (-0.5932) time: 0.4094 data: 0.0019
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.914 (6.881) Lt: 6.250 (6.186) Accm: 2.39 (2.47) Acct: 3.89 (3.96) proj_loss: -0.5800 (-0.5794) time: 0.4094 data: 0.0019
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 172/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.815 (6.843) Lt: 6.106 (6.143) Accm: 2.51 (2.54) Acct: 3.98 (3.97) proj_loss: -0.5894 (-0.5921) time: 0.4094 data: 0.0018
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:10:27 (0.376 s / it)
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:10:27 (0.376 s / it)
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 172/350] Total time: 0:10:27 (0.376 s / it)
[11-26 14:58:22] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.855 (6.857), Lt: 6.157 (6.157), Acc m&t: 2.55 4.01, Remain: 1 day, 6:02:04, Finish: 2024-11-27 05:00
[11-26 14:58:22] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.855 (6.857), Lt: 6.157 (6.157), Acc m&t: 2.55 4.01, Remain: 1 day, 6:02:03, Finish: 2024-11-27 05:00
[11-26 14:58:22] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.855 (6.857), Lt: 6.157 (6.157), Acc m&t: 2.55 4.01, Remain: 1 day, 6:01:22, Finish: 2024-11-27 04:59
[11-26 14:58:22] (/home/user/VAR/train.py , line 276)=> [ep172] (training ) Lm: 6.855 (6.857), Lt: 6.157 (6.157), Acc m&t: 2.55 4.01, Remain: 1 day, 6:01:47, Finish: 2024-11-27 05:00
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:09:56 tlr: 0.00013 tnm: 0.39 Lm: 6.829 (6.829) Lt: 6.138 (6.138) Accm: 2.60 (2.60) Acct: 4.25 (4.25) proj_loss: -0.5724 (-0.5724) time: 0.3572 data: 0.0003
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:09:57 tlr: 0.00013 tnm: 0.39 Lm: 6.755 (6.755) Lt: 6.029 (6.029) Accm: 2.90 (2.90) Acct: 4.44 (4.44) proj_loss: -0.5851 (-0.5851) time: 0.3580 data: 0.0004
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:09:54 tlr: 0.00013 tnm: 0.39 Lm: 6.719 (6.719) Lt: 6.017 (6.017) Accm: 2.65 (2.65) Acct: 4.03 (4.03) proj_loss: -0.5745 (-0.5745) time: 0.3564 data: 0.0004
[11-26 14:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 0/1669] eta: 0:09:58 tlr: 0.00013 tnm: 0.39 Lm: 6.846 (6.846) Lt: 6.124 (6.124) Accm: 2.62 (2.62) Acct: 4.25 (4.25) proj_loss: -0.5735 (-0.5735) time: 0.3584 data: 0.0004
[11-26 15:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:07:46 tlr: 0.00013 tnm: 0.41 Lm: 6.872 (6.872) Lt: 6.163 (6.163) Accm: 2.56 (2.56) Acct: 4.02 (4.02) proj_loss: -0.5746 (-0.5746) time: 0.3621 data: 0.0003
[11-26 15:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:07:46 tlr: 0.00013 tnm: 0.41 Lm: 6.815 (6.815) Lt: 6.094 (6.094) Accm: 2.75 (2.75) Acct: 4.21 (4.21) proj_loss: -0.5868 (-0.5868) time: 0.3621 data: 0.0003
[11-26 15:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:07:46 tlr: 0.00013 tnm: 0.41 Lm: 6.695 (6.695) Lt: 5.967 (5.967) Accm: 2.95 (2.95) Acct: 4.65 (4.65) proj_loss: -0.5828 (-0.5828) time: 0.3621 data: 0.0003
[11-26 15:00:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 417/1669] eta: 0:07:46 tlr: 0.00013 tnm: 0.41 Lm: 6.859 (6.859) Lt: 6.183 (6.183) Accm: 2.55 (2.55) Acct: 4.20 (4.20) proj_loss: -0.5882 (-0.5882) time: 0.3621 data: 0.0003
[11-26 15:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.42 Lm: 6.888 (6.872) Lt: 6.220 (6.195) Accm: 2.51 (2.44) Acct: 4.15 (4.02) proj_loss: -0.5856 (-0.5873) time: 0.3628 data: 0.0003
[11-26 15:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.42 Lm: 6.830 (6.820) Lt: 6.158 (6.127) Accm: 2.73 (2.74) Acct: 4.44 (4.33) proj_loss: -0.5884 (-0.5892) time: 0.3628 data: 0.0003
[11-26 15:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.42 Lm: 6.846 (6.862) Lt: 6.138 (6.155) Accm: 2.50 (2.51) Acct: 3.79 (3.91) proj_loss: -0.5735 (-0.5722) time: 0.3628 data: 0.0003
[11-26 15:03:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [ 834/1669] eta: 0:05:06 tlr: 0.00013 tnm: 0.42 Lm: 6.719 (6.772) Lt: 6.017 (6.056) Accm: 2.65 (2.79) Acct: 4.03 (4.38) proj_loss: -0.5745 (-0.5800) time: 0.3628 data: 0.0003
[11-26 15:05:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:02:32 tlr: 0.00013 tnm: 0.40 Lm: 6.739 (6.769) Lt: 6.048 (6.062) Accm: 2.77 (2.81) Acct: 4.20 (4.38) proj_loss: -0.5828 (-0.5838) time: 0.3609 data: 0.0002
[11-26 15:05:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:02:32 tlr: 0.00013 tnm: 0.40 Lm: 6.852 (6.847) Lt: 6.176 (6.145) Accm: 2.70 (2.72) Acct: 4.30 (4.28) proj_loss: -0.5868 (-0.5875) time: 0.3609 data: 0.0002
[11-26 15:05:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:02:32 tlr: 0.00013 tnm: 0.40 Lm: 6.872 (6.880) Lt: 6.170 (6.188) Accm: 2.45 (2.43) Acct: 3.74 (3.80) proj_loss: -0.5746 (-0.5805) time: 0.3609 data: 0.0003
[11-26 15:05:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1251/1669] eta: 0:02:32 tlr: 0.00013 tnm: 0.40 Lm: 6.859 (6.852) Lt: 6.179 (6.175) Accm: 2.55 (2.50) Acct: 4.16 (4.06) proj_loss: -0.5916 (-0.5899) time: 0.3609 data: 0.0003
[11-26 15:08:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.845 (6.850) Lt: 6.172 (6.174) Accm: 2.51 (2.48) Acct: 4.15 (4.00) proj_loss: -0.5911 (-0.5901) time: 0.3602 data: 0.0016
[11-26 15:08:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:10:08 (0.365 s / it)
[11-26 15:08:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.830 (6.832) Lt: 6.158 (6.125) Accm: 2.67 (2.71) Acct: 4.24 (4.27) proj_loss: -0.5884 (-0.5928) time: 0.3602 data: 0.0020
[11-26 15:08:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.759 (6.801) Lt: 6.080 (6.096) Accm: 2.65 (2.71) Acct: 4.03 (4.27) proj_loss: -0.5812 (-0.5833) time: 0.3602 data: 0.0021
[11-26 15:08:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 173/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.879 (6.880) Lt: 6.138 (6.171) Accm: 2.50 (2.49) Acct: 3.79 (3.91) proj_loss: -0.5735 (-0.5782) time: 0.3602 data: 0.0021
[11-26 15:08:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:10:08 (0.365 s / it)
[11-26 15:08:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:10:08 (0.365 s / it)
[11-26 15:08:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 173/350] Total time: 0:10:08 (0.365 s / it)
[11-26 15:08:30] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.855 (6.863), Lt: 6.157 (6.163), Acc m&t: 2.55 4.01, Remain: 1 day, 5:32:08, Finish: 2024-11-27 04:40
[11-26 15:08:30] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.855 (6.863), Lt: 6.157 (6.163), Acc m&t: 2.55 4.01, Remain: 1 day, 5:35:00, Finish: 2024-11-27 04:43
[11-26 15:08:30] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.855 (6.863), Lt: 6.157 (6.163), Acc m&t: 2.55 4.01, Remain: 1 day, 5:34:14, Finish: 2024-11-27 04:42
[11-26 15:08:30] (/home/user/VAR/train.py , line 276)=> [ep173] (training ) Lm: 6.855 (6.863), Lt: 6.157 (6.163), Acc m&t: 2.55 4.01, Remain: 1 day, 5:34:10, Finish: 2024-11-27 04:42
[11-26 15:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:09:39 tlr: 0.00013 tnm: 0.43 Lm: 6.966 (6.966) Lt: 6.281 (6.281) Accm: 2.21 (2.21) Acct: 3.65 (3.65) proj_loss: -0.5858 (-0.5858) time: 0.3474 data: 0.0004
[11-26 15:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:09:37 tlr: 0.00013 tnm: 0.43 Lm: 6.984 (6.984) Lt: 6.353 (6.353) Accm: 2.26 (2.26) Acct: 3.41 (3.41) proj_loss: -0.6195 (-0.6195) time: 0.3458 data: 0.0004
[11-26 15:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:09:48 tlr: 0.00013 tnm: 0.43 Lm: 6.893 (6.893) Lt: 6.167 (6.167) Accm: 2.53 (2.53) Acct: 4.22 (4.22) proj_loss: -0.5825 (-0.5825) time: 0.3525 data: 0.0003
[11-26 15:08:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 0/1669] eta: 0:09:35 tlr: 0.00013 tnm: 0.43 Lm: 6.811 (6.811) Lt: 6.121 (6.121) Accm: 2.49 (2.49) Acct: 3.79 (3.79) proj_loss: -0.5958 (-0.5958) time: 0.3448 data: 0.0004
[11-26 15:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.41 Lm: 6.845 (6.845) Lt: 6.140 (6.140) Accm: 2.43 (2.43) Acct: 3.78 (3.78) proj_loss: -0.5900 (-0.5900) time: 0.3601 data: 0.0003
[11-26 15:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.41 Lm: 6.976 (6.976) Lt: 6.333 (6.333) Accm: 2.24 (2.24) Acct: 3.39 (3.39) proj_loss: -0.5971 (-0.5971) time: 0.3601 data: 0.0002
[11-26 15:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.41 Lm: 6.877 (6.877) Lt: 6.168 (6.168) Accm: 2.51 (2.51) Acct: 4.12 (4.12) proj_loss: -0.5917 (-0.5917) time: 0.3601 data: 0.0003
[11-26 15:11:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 417/1669] eta: 0:07:31 tlr: 0.00013 tnm: 0.41 Lm: 6.900 (6.900) Lt: 6.180 (6.180) Accm: 2.40 (2.40) Acct: 4.04 (4.04) proj_loss: -0.5892 (-0.5892) time: 0.3601 data: 0.0003
[11-26 15:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.43 Lm: 6.957 (6.919) Lt: 6.281 (6.218) Accm: 2.21 (2.34) Acct: 3.65 (3.76) proj_loss: -0.5863 (-0.5882) time: 0.3643 data: 0.0003
[11-26 15:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.43 Lm: 6.974 (6.975) Lt: 6.312 (6.322) Accm: 2.23 (2.24) Acct: 3.41 (3.44) proj_loss: -0.5839 (-0.5927) time: 0.3643 data: 0.0003
[11-26 15:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.43 Lm: 6.893 (6.884) Lt: 6.169 (6.179) Accm: 2.53 (2.54) Acct: 4.12 (4.12) proj_loss: -0.5856 (-0.5896) time: 0.3643 data: 0.0003
[11-26 15:13:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [ 834/1669] eta: 0:05:01 tlr: 0.00013 tnm: 0.43 Lm: 6.880 (6.882) Lt: 6.158 (6.175) Accm: 2.44 (2.44) Acct: 3.79 (3.91) proj_loss: -0.5948 (-0.5916) time: 0.3643 data: 0.0003
[11-26 15:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 0.38 Lm: 6.918 (6.916) Lt: 6.202 (6.208) Accm: 2.41 (2.35) Acct: 3.78 (3.80) proj_loss: -0.5953 (-0.5937) time: 0.3593 data: 0.0003
[11-26 15:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 0.38 Lm: 6.973 (6.974) Lt: 6.307 (6.312) Accm: 2.24 (2.24) Acct: 3.47 (3.53) proj_loss: -0.5793 (-0.5860) time: 0.3593 data: 0.0002
[11-26 15:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 0.38 Lm: 6.928 (6.914) Lt: 6.247 (6.217) Accm: 2.27 (2.34) Acct: 3.63 (3.73) proj_loss: -0.5861 (-0.5849) time: 0.3593 data: 0.0003
[11-26 15:16:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1251/1669] eta: 0:02:30 tlr: 0.00013 tnm: 0.38 Lm: 6.896 (6.901) Lt: 6.185 (6.211) Accm: 2.51 (2.51) Acct: 4.06 (4.02) proj_loss: -0.5885 (-0.5901) time: 0.3593 data: 0.0003
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.971 (6.938) Lt: 6.301 (6.265) Accm: 2.26 (2.31) Acct: 3.53 (3.60) proj_loss: -0.5771 (-0.5842) time: 0.3648 data: 0.0020
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.957 (6.924) Lt: 6.281 (6.243) Accm: 2.21 (2.28) Acct: 3.62 (3.62) proj_loss: -0.5863 (-0.5853) time: 0.3648 data: 0.0015
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.880 (6.893) Lt: 6.160 (6.199) Accm: 2.44 (2.37) Acct: 3.79 (3.80) proj_loss: -0.5958 (-0.5954) time: 0.3648 data: 0.0018
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 174/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.898 (6.908) Lt: 6.200 (6.220) Accm: 2.48 (2.46) Acct: 4.01 (3.92) proj_loss: -0.5914 (-0.5938) time: 0.3649 data: 0.0020
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:10:02 (0.361 s / it)
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:10:02 (0.361 s / it)
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:10:02 (0.361 s / it)
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 174/350] Total time: 0:10:02 (0.361 s / it)
[11-26 15:18:33] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.855 (6.870), Lt: 6.157 (6.173), Acc m&t: 2.55 4.01, Remain: 1 day, 5:49:32, Finish: 2024-11-27 05:08
[11-26 15:18:33] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.855 (6.870), Lt: 6.157 (6.173), Acc m&t: 2.55 4.01, Remain: 1 day, 5:50:26, Finish: 2024-11-27 05:08
[11-26 15:18:33] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.855 (6.870), Lt: 6.157 (6.173), Acc m&t: 2.55 4.01, Remain: 1 day, 5:49:21, Finish: 2024-11-27 05:07
[11-26 15:18:33] (/home/user/VAR/train.py , line 276)=> [ep174] (training ) Lm: 6.855 (6.870), Lt: 6.157 (6.173), Acc m&t: 2.55 4.01, Remain: 1 day, 5:49:33, Finish: 2024-11-27 05:08
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:09:35 tlr: 0.00013 tnm: 0.38 Lm: 6.829 (6.829) Lt: 6.112 (6.112) Accm: 2.53 (2.53) Acct: 3.87 (3.87) proj_loss: -0.5975 (-0.5975) time: 0.3447 data: 0.0004
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:09:35 tlr: 0.00013 tnm: 0.38 Lm: 6.885 (6.885) Lt: 6.227 (6.227) Accm: 2.21 (2.21) Acct: 3.56 (3.56) proj_loss: -0.5909 (-0.5909) time: 0.3451 data: 0.0004
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:09:35 tlr: 0.00013 tnm: 0.38 Lm: 6.941 (6.941) Lt: 6.247 (6.247) Accm: 2.24 (2.24) Acct: 3.63 (3.63) proj_loss: -0.5817 (-0.5817) time: 0.3451 data: 0.0004
[11-26 15:18:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 0/1669] eta: 0:09:35 tlr: 0.00013 tnm: 0.38 Lm: 6.982 (6.982) Lt: 6.260 (6.260) Accm: 2.06 (2.06) Acct: 3.12 (3.12) proj_loss: -0.5874 (-0.5874) time: 0.3446 data: 0.0004
[11-26 15:21:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:07:42 tlr: 0.00013 tnm: 0.43 Lm: 6.956 (6.956) Lt: 6.257 (6.257) Accm: 2.13 (2.13) Acct: 3.25 (3.25) proj_loss: -0.5856 (-0.5856) time: 0.4460 data: 0.0002
[11-26 15:21:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:07:42 tlr: 0.00013 tnm: 0.43 Lm: 6.939 (6.939) Lt: 6.263 (6.263) Accm: 2.33 (2.33) Acct: 3.66 (3.66) proj_loss: -0.5872 (-0.5872) time: 0.4460 data: 0.0002
[11-26 15:21:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:07:42 tlr: 0.00013 tnm: 0.43 Lm: 6.832 (6.832) Lt: 6.143 (6.143) Accm: 2.50 (2.50) Acct: 3.96 (3.96) proj_loss: -0.5851 (-0.5851) time: 0.4460 data: 0.0003
[11-26 15:21:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 417/1669] eta: 0:07:42 tlr: 0.00013 tnm: 0.43 Lm: 6.928 (6.928) Lt: 6.237 (6.237) Accm: 2.40 (2.40) Acct: 3.88 (3.88) proj_loss: -0.5878 (-0.5878) time: 0.4460 data: 0.0003
[11-26 15:23:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:05:13 tlr: 0.00013 tnm: 0.40 Lm: 6.915 (6.882) Lt: 6.226 (6.212) Accm: 2.56 (2.47) Acct: 3.87 (3.88) proj_loss: -0.5938 (-0.5898) time: 0.3592 data: 0.0003
[11-26 15:23:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:05:13 tlr: 0.00013 tnm: 0.40 Lm: 6.898 (6.925) Lt: 6.180 (6.235) Accm: 2.53 (2.42) Acct: 3.82 (3.71) proj_loss: -0.5811 (-0.5851) time: 0.3592 data: 0.0002
[11-26 15:23:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:05:13 tlr: 0.00013 tnm: 0.40 Lm: 6.839 (6.834) Lt: 6.154 (6.147) Accm: 2.75 (2.59) Acct: 4.36 (4.13) proj_loss: -0.5867 (-0.5857) time: 0.3592 data: 0.0003
[11-26 15:23:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [ 834/1669] eta: 0:05:13 tlr: 0.00013 tnm: 0.40 Lm: 6.929 (6.875) Lt: 6.255 (6.176) Accm: 2.20 (2.33) Acct: 3.39 (3.55) proj_loss: -0.5874 (-0.5873) time: 0.3592 data: 0.0003
[11-26 15:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:02:37 tlr: 0.00013 tnm: 0.40 Lm: 6.885 (6.867) Lt: 6.202 (6.170) Accm: 2.43 (2.42) Acct: 3.76 (3.71) proj_loss: -0.5882 (-0.5877) time: 0.3601 data: 0.0003
[11-26 15:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:02:37 tlr: 0.00013 tnm: 0.40 Lm: 6.863 (6.881) Lt: 6.146 (6.191) Accm: 2.56 (2.50) Acct: 3.85 (3.80) proj_loss: -0.5807 (-0.5839) time: 0.3600 data: 0.0003
[11-26 15:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:02:37 tlr: 0.00013 tnm: 0.40 Lm: 6.853 (6.843) Lt: 6.152 (6.148) Accm: 2.54 (2.52) Acct: 4.03 (4.02) proj_loss: -0.5855 (-0.5853) time: 0.3601 data: 0.0003
[11-26 15:26:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1251/1669] eta: 0:02:37 tlr: 0.00013 tnm: 0.40 Lm: 6.902 (6.884) Lt: 6.216 (6.210) Accm: 2.48 (2.45) Acct: 3.81 (3.84) proj_loss: -0.5878 (-0.5827) time: 0.3601 data: 0.0003
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.39 Lm: 6.888 (6.882) Lt: 6.209 (6.210) Accm: 2.56 (2.47) Acct: 3.87 (3.92) proj_loss: -0.5831 (-0.5828) time: 0.3639 data: 0.0018
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:10:29 (0.377 s / it)
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.39 Lm: 6.829 (6.849) Lt: 6.112 (6.143) Accm: 2.59 (2.61) Acct: 3.87 (3.98) proj_loss: -0.5803 (-0.5806) time: 0.3639 data: 0.0017
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.39 Lm: 6.841 (6.858) Lt: 6.182 (6.172) Accm: 2.64 (2.46) Acct: 3.98 (3.77) proj_loss: -0.5890 (-0.5904) time: 0.3639 data: 0.0014
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 175/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.39 Lm: 6.839 (6.827) Lt: 6.151 (6.126) Accm: 2.51 (2.52) Acct: 4.06 (4.03) proj_loss: -0.5842 (-0.5835) time: 0.3639 data: 0.0016
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:10:29 (0.377 s / it)
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:10:29 (0.377 s / it)
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 175/350] Total time: 0:10:29 (0.377 s / it)
[11-26 15:29:02] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.846 (6.846), Lt: 6.144 (6.144), Acc m&t: 2.55 4.04, Remain: 1 day, 5:29:52, Finish: 2024-11-27 04:58
[11-26 15:29:02] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.846 (6.846), Lt: 6.144 (6.144), Acc m&t: 2.55 4.04, Remain: 1 day, 5:29:35, Finish: 2024-11-27 04:58
[11-26 15:29:02] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.846 (6.846), Lt: 6.144 (6.144), Acc m&t: 2.55 4.04, Remain: 1 day, 5:28:49, Finish: 2024-11-27 04:57
[11-26 15:29:02] (/home/user/VAR/train.py , line 276)=> [ep175] (training ) Lm: 6.846 (6.846), Lt: 6.144 (6.144), Acc m&t: 2.55 4.04, Remain: 1 day, 5:30:20, Finish: 2024-11-27 04:59
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:10:14 tlr: 0.00013 tnm: 0.41 Lm: 6.945 (6.945) Lt: 6.248 (6.248) Accm: 2.33 (2.33) Acct: 3.62 (3.62) proj_loss: -0.5941 (-0.5941) time: 0.3684 data: 0.0004
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:10:16 tlr: 0.00013 tnm: 0.41 Lm: 6.754 (6.754) Lt: 6.078 (6.078) Accm: 2.67 (2.67) Acct: 4.27 (4.27) proj_loss: -0.6014 (-0.6014) time: 0.3691 data: 0.0004
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:10:16 tlr: 0.00013 tnm: 0.41 Lm: 6.819 (6.819) Lt: 6.135 (6.135) Accm: 2.55 (2.55) Acct: 4.05 (4.05) proj_loss: -0.5746 (-0.5746) time: 0.3693 data: 0.0004
[11-26 15:29:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 0/1669] eta: 0:10:16 tlr: 0.00013 tnm: 0.41 Lm: 6.778 (6.778) Lt: 6.044 (6.044) Accm: 2.68 (2.68) Acct: 4.22 (4.22) proj_loss: -0.5852 (-0.5852) time: 0.3696 data: 0.0003
[11-26 15:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:07:39 tlr: 0.00013 tnm: 0.42 Lm: 6.768 (6.768) Lt: 6.040 (6.040) Accm: 2.74 (2.74) Acct: 4.35 (4.35) proj_loss: -0.5842 (-0.5842) time: 0.3636 data: 0.0003
[11-26 15:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:07:39 tlr: 0.00013 tnm: 0.42 Lm: 6.765 (6.765) Lt: 6.071 (6.071) Accm: 2.70 (2.70) Acct: 4.24 (4.24) proj_loss: -0.5929 (-0.5929) time: 0.3636 data: 0.0002
[11-26 15:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:07:39 tlr: 0.00013 tnm: 0.42 Lm: 6.892 (6.892) Lt: 6.180 (6.180) Accm: 2.44 (2.44) Acct: 3.93 (3.93) proj_loss: -0.5703 (-0.5703) time: 0.3636 data: 0.0003
[11-26 15:31:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 417/1669] eta: 0:07:39 tlr: 0.00013 tnm: 0.42 Lm: 6.883 (6.883) Lt: 6.179 (6.179) Accm: 2.49 (2.49) Acct: 3.85 (3.85) proj_loss: -0.5878 (-0.5878) time: 0.3637 data: 0.0003
[11-26 15:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.43 Lm: 6.945 (6.911) Lt: 6.248 (6.218) Accm: 2.33 (2.32) Acct: 3.62 (3.62) proj_loss: -0.5941 (-0.5933) time: 0.3611 data: 0.0002
[11-26 15:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.43 Lm: 6.819 (6.848) Lt: 6.135 (6.123) Accm: 2.55 (2.57) Acct: 4.05 (4.17) proj_loss: -0.5746 (-0.5762) time: 0.3611 data: 0.0002
[11-26 15:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.43 Lm: 6.775 (6.799) Lt: 6.078 (6.106) Accm: 2.67 (2.59) Acct: 4.20 (4.09) proj_loss: -0.5843 (-0.5835) time: 0.3611 data: 0.0002
[11-26 15:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [ 834/1669] eta: 0:05:03 tlr: 0.00013 tnm: 0.43 Lm: 6.778 (6.801) Lt: 6.044 (6.083) Accm: 2.68 (2.63) Acct: 4.22 (4.14) proj_loss: -0.5852 (-0.5862) time: 0.3611 data: 0.0003
[11-26 15:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.39 Lm: 6.768 (6.789) Lt: 6.049 (6.076) Accm: 2.73 (2.67) Acct: 4.35 (4.26) proj_loss: -0.5876 (-0.5929) time: 0.3618 data: 0.0003
[11-26 15:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.39 Lm: 6.810 (6.836) Lt: 6.121 (6.119) Accm: 2.57 (2.58) Acct: 4.12 (4.18) proj_loss: -0.5813 (-0.5825) time: 0.3618 data: 0.0002
[11-26 15:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.39 Lm: 6.821 (6.842) Lt: 6.127 (6.151) Accm: 2.53 (2.51) Acct: 3.99 (3.93) proj_loss: -0.5794 (-0.5812) time: 0.3618 data: 0.0002
[11-26 15:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.39 Lm: 6.917 (6.906) Lt: 6.216 (6.210) Accm: 2.35 (2.33) Acct: 3.69 (3.65) proj_loss: -0.5923 (-0.5926) time: 0.3618 data: 0.0002
[11-26 15:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.780 (6.830) Lt: 6.078 (6.130) Accm: 2.67 (2.55) Acct: 4.20 (4.03) proj_loss: -0.5843 (-0.5827) time: 0.3593 data: 0.0019
[11-26 15:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.819 (6.859) Lt: 6.135 (6.150) Accm: 2.55 (2.50) Acct: 4.05 (4.04) proj_loss: -0.5880 (-0.5873) time: 0.3593 data: 0.0015
[11-26 15:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.778 (6.808) Lt: 6.054 (6.102) Accm: 2.68 (2.63) Acct: 4.22 (4.17) proj_loss: -0.5901 (-0.5941) time: 0.3593 data: 0.0017
[11-26 15:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 176/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.889 (6.886) Lt: 6.184 (6.182) Accm: 2.37 (2.43) Acct: 3.77 (3.79) proj_loss: -0.5920 (-0.5924) time: 0.3593 data: 0.0014
[11-26 15:39:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:10:05 (0.363 s / it)
[11-26 15:39:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:10:05 (0.363 s / it)
[11-26 15:39:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:10:05 (0.363 s / it)
[11-26 15:39:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 176/350] Total time: 0:10:05 (0.363 s / it)
[11-26 15:39:07] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.844 (6.844), Lt: 6.139 (6.139), Acc m&t: 2.55 4.04, Remain: 1 day, 4:58:36, Finish: 2024-11-27 04:37
[11-26 15:39:07] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.844 (6.844), Lt: 6.139 (6.139), Acc m&t: 2.55 4.04, Remain: 1 day, 4:59:05, Finish: 2024-11-27 04:38
[11-26 15:39:07] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.844 (6.844), Lt: 6.139 (6.139), Acc m&t: 2.55 4.04, Remain: 1 day, 4:59:25, Finish: 2024-11-27 04:38
[11-26 15:39:07] (/home/user/VAR/train.py , line 276)=> [ep176] (training ) Lm: 6.844 (6.844), Lt: 6.139 (6.139), Acc m&t: 2.55 4.04, Remain: 1 day, 5:00:24, Finish: 2024-11-27 04:39
[11-26 15:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:09:39 tlr: 0.00013 tnm: 0.39 Lm: 6.958 (6.958) Lt: 6.269 (6.269) Accm: 2.29 (2.29) Acct: 3.87 (3.87) proj_loss: -0.5788 (-0.5788) time: 0.3472 data: 0.0003
[11-26 15:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:09:39 tlr: 0.00013 tnm: 0.39 Lm: 6.916 (6.916) Lt: 6.222 (6.222) Accm: 2.21 (2.21) Acct: 3.20 (3.20) proj_loss: -0.5902 (-0.5902) time: 0.3474 data: 0.0003
[11-26 15:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:10:01 tlr: 0.00013 tnm: 0.39 Lm: 6.899 (6.899) Lt: 6.198 (6.198) Accm: 2.53 (2.53) Acct: 3.99 (3.99) proj_loss: -0.5841 (-0.5841) time: 0.3603 data: 0.0003
[11-26 15:39:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 0/1669] eta: 0:09:39 tlr: 0.00013 tnm: 0.39 Lm: 6.799 (6.799) Lt: 6.109 (6.109) Accm: 2.70 (2.70) Acct: 4.15 (4.15) proj_loss: -0.6009 (-0.6009) time: 0.3473 data: 0.0004
[11-26 15:41:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:07:36 tlr: 0.00013 tnm: 0.41 Lm: 6.865 (6.865) Lt: 6.184 (6.184) Accm: 2.54 (2.54) Acct: 3.97 (3.97) proj_loss: -0.5877 (-0.5877) time: 0.3609 data: 0.0003
[11-26 15:41:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:07:36 tlr: 0.00013 tnm: 0.41 Lm: 6.862 (6.862) Lt: 6.170 (6.170) Accm: 2.64 (2.64) Acct: 4.19 (4.19) proj_loss: -0.5960 (-0.5960) time: 0.3609 data: 0.0003
[11-26 15:41:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:07:36 tlr: 0.00013 tnm: 0.41 Lm: 6.935 (6.935) Lt: 6.233 (6.233) Accm: 2.41 (2.41) Acct: 3.89 (3.89) proj_loss: -0.5731 (-0.5731) time: 0.3609 data: 0.0003
[11-26 15:41:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 417/1669] eta: 0:07:36 tlr: 0.00013 tnm: 0.41 Lm: 6.885 (6.885) Lt: 6.186 (6.186) Accm: 2.36 (2.36) Acct: 3.76 (3.76) proj_loss: -0.5906 (-0.5906) time: 0.3610 data: 0.0003
[11-26 15:44:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.43 Lm: 6.853 (6.866) Lt: 6.151 (6.169) Accm: 2.27 (2.33) Acct: 3.36 (3.63) proj_loss: -0.5910 (-0.5915) time: 0.3606 data: 0.0003
[11-26 15:44:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.43 Lm: 6.926 (6.932) Lt: 6.269 (6.245) Accm: 2.49 (2.44) Acct: 3.87 (3.83) proj_loss: -0.5788 (-0.5751) time: 0.3606 data: 0.0003
[11-26 15:44:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.43 Lm: 6.825 (6.849) Lt: 6.141 (6.147) Accm: 2.67 (2.65) Acct: 4.05 (4.14) proj_loss: -0.5985 (-0.5968) time: 0.3606 data: 0.0003
[11-26 15:44:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.43 Lm: 6.931 (6.920) Lt: 6.259 (6.248) Accm: 2.38 (2.40) Acct: 3.79 (3.74) proj_loss: -0.5901 (-0.5885) time: 0.3606 data: 0.0003
[11-26 15:46:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.42 Lm: 6.884 (6.899) Lt: 6.190 (6.216) Accm: 2.45 (2.43) Acct: 3.87 (3.80) proj_loss: -0.5823 (-0.5838) time: 0.3608 data: 0.0003
[11-26 15:46:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.42 Lm: 6.860 (6.866) Lt: 6.158 (6.168) Accm: 2.39 (2.38) Acct: 3.64 (3.70) proj_loss: -0.5922 (-0.5922) time: 0.3608 data: 0.0003
[11-26 15:46:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.42 Lm: 6.856 (6.858) Lt: 6.170 (6.174) Accm: 2.61 (2.63) Acct: 4.14 (4.17) proj_loss: -0.6006 (-0.5983) time: 0.3608 data: 0.0003
[11-26 15:46:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.42 Lm: 6.919 (6.909) Lt: 6.233 (6.224) Accm: 2.49 (2.45) Acct: 3.87 (3.84) proj_loss: -0.5790 (-0.5810) time: 0.3608 data: 0.0003
[11-26 15:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.911 (6.877) Lt: 6.198 (6.192) Accm: 2.50 (2.48) Acct: 3.87 (3.87) proj_loss: -0.5792 (-0.5851) time: 0.3620 data: 0.0014
[11-26 15:49:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:10:03 (0.362 s / it)
[11-26 15:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.866 (6.889) Lt: 6.165 (6.191) Accm: 2.27 (2.33) Acct: 3.36 (3.62) proj_loss: -0.5910 (-0.5879) time: 0.3620 data: 0.0020
[11-26 15:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.859 (6.891) Lt: 6.129 (6.199) Accm: 2.38 (2.41) Acct: 3.79 (3.75) proj_loss: -0.5805 (-0.5832) time: 0.3620 data: 0.0021
[11-26 15:49:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 177/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.887 (6.876) Lt: 6.198 (6.192) Accm: 2.54 (2.55) Acct: 4.05 (4.04) proj_loss: -0.5985 (-0.5965) time: 0.3620 data: 0.0023
[11-26 15:49:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:10:03 (0.362 s / it)
[11-26 15:49:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:10:03 (0.362 s / it)
[11-26 15:49:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 177/350] Total time: 0:10:03 (0.362 s / it)
[11-26 15:49:11] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.844 (6.872), Lt: 6.139 (6.176), Acc m&t: 2.55 4.04, Remain: 1 day, 4:46:09, Finish: 2024-11-27 04:35
[11-26 15:49:11] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.844 (6.872), Lt: 6.139 (6.176), Acc m&t: 2.55 4.04, Remain: 1 day, 4:46:32, Finish: 2024-11-27 04:35
[11-26 15:49:11] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.844 (6.872), Lt: 6.139 (6.176), Acc m&t: 2.55 4.04, Remain: 1 day, 4:46:18, Finish: 2024-11-27 04:35
[11-26 15:49:11] (/home/user/VAR/train.py , line 276)=> [ep177] (training ) Lm: 6.844 (6.872), Lt: 6.139 (6.176), Acc m&t: 2.55 4.04, Remain: 1 day, 4:45:34, Finish: 2024-11-27 04:34
[11-26 15:49:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:10:37 tlr: 0.00013 tnm: 0.43 Lm: 6.768 (6.768) Lt: 6.062 (6.062) Accm: 3.04 (3.04) Acct: 4.73 (4.73) proj_loss: -0.5970 (-0.5970) time: 0.3820 data: 0.0004
[11-26 15:49:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:10:44 tlr: 0.00013 tnm: 0.43 Lm: 6.869 (6.869) Lt: 6.179 (6.179) Accm: 2.51 (2.51) Acct: 3.63 (3.63) proj_loss: -0.5842 (-0.5842) time: 0.3861 data: 0.0004
[11-26 15:49:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:10:15 tlr: 0.00013 tnm: 0.43 Lm: 6.928 (6.928) Lt: 6.233 (6.233) Accm: 2.23 (2.23) Acct: 3.32 (3.32) proj_loss: -0.5802 (-0.5802) time: 0.3685 data: 0.0004
[11-26 15:49:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 0/1669] eta: 0:10:48 tlr: 0.00013 tnm: 0.43 Lm: 7.049 (7.049) Lt: 6.446 (6.446) Accm: 1.98 (1.98) Acct: 3.13 (3.13) proj_loss: -0.6183 (-0.6183) time: 0.3887 data: 0.0004
[11-26 15:51:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:07:52 tlr: 0.00013 tnm: 0.41 Lm: 7.037 (7.037) Lt: 6.406 (6.406) Accm: 2.11 (2.11) Acct: 3.23 (3.23) proj_loss: -0.6015 (-0.6015) time: 0.3592 data: 0.0003
[11-26 15:51:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:07:52 tlr: 0.00013 tnm: 0.41 Lm: 6.835 (6.835) Lt: 6.162 (6.162) Accm: 2.47 (2.47) Acct: 3.74 (3.74) proj_loss: -0.5919 (-0.5919) time: 0.3592 data: 0.0003
[11-26 15:51:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:07:52 tlr: 0.00013 tnm: 0.41 Lm: 6.757 (6.757) Lt: 6.069 (6.069) Accm: 2.87 (2.87) Acct: 4.04 (4.04) proj_loss: -0.5956 (-0.5956) time: 0.3592 data: 0.0003
[11-26 15:51:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 417/1669] eta: 0:07:52 tlr: 0.00013 tnm: 0.41 Lm: 6.812 (6.812) Lt: 6.132 (6.132) Accm: 2.78 (2.78) Acct: 4.24 (4.24) proj_loss: -0.5845 (-0.5845) time: 0.3592 data: 0.0003
[11-26 15:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:05:16 tlr: 0.00013 tnm: 0.41 Lm: 6.790 (6.804) Lt: 6.086 (6.117) Accm: 2.78 (2.78) Acct: 4.53 (4.33) proj_loss: -0.5970 (-0.5942) time: 0.3595 data: 0.0002
[11-26 15:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:05:16 tlr: 0.00013 tnm: 0.41 Lm: 6.690 (6.735) Lt: 6.003 (6.047) Accm: 2.91 (2.89) Acct: 4.44 (4.18) proj_loss: -0.6030 (-0.5981) time: 0.3595 data: 0.0003
[11-26 15:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:05:16 tlr: 0.00013 tnm: 0.41 Lm: 6.928 (6.875) Lt: 6.233 (6.194) Accm: 2.37 (2.44) Acct: 3.53 (3.67) proj_loss: -0.5903 (-0.5914) time: 0.3595 data: 0.0003
[11-26 15:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [ 834/1669] eta: 0:05:16 tlr: 0.00013 tnm: 0.41 Lm: 7.025 (6.962) Lt: 6.366 (6.306) Accm: 2.24 (2.28) Acct: 3.32 (3.60) proj_loss: -0.5846 (-0.5944) time: 0.3595 data: 0.0003
[11-26 15:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 0.41 Lm: 6.723 (6.740) Lt: 6.012 (6.040) Accm: 2.81 (2.84) Acct: 4.32 (4.19) proj_loss: -0.6050 (-0.6017) time: 0.4072 data: 0.0002
[11-26 15:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 0.41 Lm: 6.902 (6.876) Lt: 6.178 (6.176) Accm: 2.43 (2.45) Acct: 3.76 (3.75) proj_loss: -0.5863 (-0.5891) time: 0.4071 data: 0.0003
[11-26 15:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 0.41 Lm: 6.814 (6.813) Lt: 6.097 (6.115) Accm: 2.64 (2.67) Acct: 4.13 (4.12) proj_loss: -0.5964 (-0.5946) time: 0.4072 data: 0.0003
[11-26 15:57:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 0.41 Lm: 6.944 (6.937) Lt: 6.260 (6.268) Accm: 2.32 (2.31) Acct: 3.55 (3.64) proj_loss: -0.5917 (-0.5955) time: 0.4072 data: 0.0003
[11-26 15:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.882 (6.926) Lt: 6.208 (6.256) Accm: 2.36 (2.32) Acct: 3.74 (3.66) proj_loss: -0.5862 (-0.5937) time: 0.3650 data: 0.0016
[11-26 15:59:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:10:30 (0.378 s / it)
[11-26 15:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.757 (6.763) Lt: 6.020 (6.059) Accm: 2.81 (2.84) Acct: 4.27 (4.20) proj_loss: -0.6030 (-0.5975) time: 0.3650 data: 0.0020
[11-26 15:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.839 (6.825) Lt: 6.108 (6.131) Accm: 2.64 (2.66) Acct: 4.12 (4.12) proj_loss: -0.5958 (-0.5928) time: 0.3650 data: 0.0023
[11-26 15:59:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 178/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.41 Lm: 6.928 (6.902) Lt: 6.233 (6.204) Accm: 2.37 (2.38) Acct: 3.53 (3.65) proj_loss: -0.5896 (-0.5892) time: 0.3650 data: 0.0016
[11-26 15:59:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:10:30 (0.378 s / it)
[11-26 15:59:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:10:30 (0.378 s / it)
[11-26 15:59:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 178/350] Total time: 0:10:30 (0.378 s / it)
[11-26 15:59:42] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.844 (6.861), Lt: 6.139 (6.158), Acc m&t: 2.55 4.04, Remain: 1 day, 4:51:54, Finish: 2024-11-27 04:51
[11-26 15:59:42] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.844 (6.861), Lt: 6.139 (6.158), Acc m&t: 2.55 4.04, Remain: 1 day, 4:51:41, Finish: 2024-11-27 04:51
[11-26 15:59:42] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.844 (6.861), Lt: 6.139 (6.158), Acc m&t: 2.55 4.04, Remain: 1 day, 4:51:52, Finish: 2024-11-27 04:51
[11-26 15:59:42] (/home/user/VAR/train.py , line 276)=> [ep178] (training ) Lm: 6.844 (6.861), Lt: 6.139 (6.158), Acc m&t: 2.55 4.04, Remain: 1 day, 4:50:49, Finish: 2024-11-27 04:50
[11-26 15:59:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:10:00 tlr: 0.00013 tnm: 0.44 Lm: 6.910 (6.910) Lt: 6.244 (6.244) Accm: 2.45 (2.45) Acct: 3.84 (3.84) proj_loss: -0.5864 (-0.5864) time: 0.3595 data: 0.0003
[11-26 15:59:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:10:00 tlr: 0.00013 tnm: 0.44 Lm: 6.769 (6.769) Lt: 6.092 (6.092) Accm: 2.77 (2.77) Acct: 4.22 (4.22) proj_loss: -0.5784 (-0.5784) time: 0.3600 data: 0.0003
[11-26 15:59:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:10:01 tlr: 0.00013 tnm: 0.44 Lm: 6.957 (6.957) Lt: 6.271 (6.271) Accm: 2.29 (2.29) Acct: 3.55 (3.55) proj_loss: -0.5884 (-0.5884) time: 0.3602 data: 0.0004
[11-26 15:59:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 0/1669] eta: 0:09:56 tlr: 0.00013 tnm: 0.44 Lm: 6.850 (6.850) Lt: 6.173 (6.173) Accm: 2.43 (2.43) Acct: 3.79 (3.79) proj_loss: -0.5940 (-0.5940) time: 0.3577 data: 0.0004
[11-26 16:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:07:35 tlr: 0.00013 tnm: 0.41 Lm: 6.830 (6.830) Lt: 6.155 (6.155) Accm: 2.47 (2.47) Acct: 3.89 (3.89) proj_loss: -0.5897 (-0.5897) time: 0.3613 data: 0.0003
[11-26 16:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:07:35 tlr: 0.00013 tnm: 0.41 Lm: 6.842 (6.842) Lt: 6.168 (6.168) Accm: 2.60 (2.60) Acct: 3.99 (3.99) proj_loss: -0.5785 (-0.5785) time: 0.3613 data: 0.0003
[11-26 16:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:07:35 tlr: 0.00013 tnm: 0.41 Lm: 6.888 (6.888) Lt: 6.203 (6.203) Accm: 2.50 (2.50) Acct: 3.93 (3.93) proj_loss: -0.5913 (-0.5913) time: 0.3613 data: 0.0003
[11-26 16:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 417/1669] eta: 0:07:35 tlr: 0.00013 tnm: 0.41 Lm: 6.920 (6.920) Lt: 6.217 (6.217) Accm: 2.41 (2.41) Acct: 3.83 (3.83) proj_loss: -0.5987 (-0.5987) time: 0.3613 data: 0.0003
[11-26 16:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.42 Lm: 6.883 (6.885) Lt: 6.164 (6.187) Accm: 2.52 (2.47) Acct: 3.87 (3.85) proj_loss: -0.6089 (-0.6021) time: 0.3628 data: 0.0003
[11-26 16:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.42 Lm: 6.769 (6.810) Lt: 6.092 (6.134) Accm: 2.77 (2.68) Acct: 4.22 (4.18) proj_loss: -0.5785 (-0.5866) time: 0.3628 data: 0.0003
[11-26 16:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.42 Lm: 6.850 (6.866) Lt: 6.173 (6.181) Accm: 2.43 (2.45) Acct: 3.99 (3.96) proj_loss: -0.5854 (-0.5837) time: 0.3628 data: 0.0003
[11-26 16:04:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.42 Lm: 6.910 (6.900) Lt: 6.212 (6.206) Accm: 2.45 (2.48) Acct: 3.98 (3.95) proj_loss: -0.5955 (-0.5927) time: 0.3628 data: 0.0003
[11-26 16:07:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.39 Lm: 6.916 (6.915) Lt: 6.228 (6.217) Accm: 2.45 (2.37) Acct: 3.91 (3.73) proj_loss: -0.5910 (-0.5897) time: 0.3611 data: 0.0003
[11-26 16:07:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.39 Lm: 6.804 (6.817) Lt: 6.109 (6.132) Accm: 2.80 (2.74) Acct: 4.30 (4.23) proj_loss: -0.5808 (-0.5857) time: 0.3611 data: 0.0003
[11-26 16:07:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.39 Lm: 6.830 (6.848) Lt: 6.155 (6.159) Accm: 2.47 (2.54) Acct: 4.05 (4.06) proj_loss: -0.5897 (-0.5882) time: 0.3611 data: 0.0003
[11-26 16:07:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.39 Lm: 6.866 (6.876) Lt: 6.181 (6.190) Accm: 2.56 (2.51) Acct: 3.91 (3.87) proj_loss: -0.6009 (-0.5998) time: 0.3611 data: 0.0003
[11-26 16:09:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.850 (6.849) Lt: 6.164 (6.166) Accm: 2.59 (2.52) Acct: 3.94 (3.97) proj_loss: -0.5929 (-0.5966) time: 0.3644 data: 0.0019
[11-26 16:09:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:10:04 (0.362 s / it)
[11-26 16:09:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.838 (6.827) Lt: 6.125 (6.142) Accm: 2.77 (2.66) Acct: 4.22 (4.18) proj_loss: -0.5830 (-0.5890) time: 0.3644 data: 0.0020
[11-26 16:09:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.913 (6.914) Lt: 6.212 (6.211) Accm: 2.45 (2.34) Acct: 3.84 (3.73) proj_loss: -0.5934 (-0.5904) time: 0.3644 data: 0.0013
[11-26 16:09:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 179/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.850 (6.851) Lt: 6.138 (6.147) Accm: 2.43 (2.52) Acct: 4.03 (4.05) proj_loss: -0.5854 (-0.5847) time: 0.3644 data: 0.0018
[11-26 16:09:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:10:04 (0.362 s / it)
[11-26 16:09:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:10:04 (0.362 s / it)
[11-26 16:09:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 179/350] Total time: 0:10:04 (0.362 s / it)
[11-26 16:11:58] (home/user/VAR/trainer.py, line 114)=> FID: 4.662593632684889
[11-26 16:11:59] (/home/user/VAR/train.py , line 259)=> [*] [ep179] (val 50000) Lm: 6.8531, Lt: 6.1507, Acc m&t: 2.53 4.00, Val cost: 132.15s
[11-26 16:11:59] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 16:12:18] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.844 (6.853), Lt: 6.139 (6.151), Acc m&t: 2.55 4.04, Remain: 1 day, 4:49:40, Finish: 2024-11-27 04:59
[11-26 16:12:18] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.844 (6.853), Lt: 6.139 (6.151), Acc m&t: 2.55 4.04, Remain: 1 day, 4:49:09, Finish: 2024-11-27 04:58
[11-26 16:12:18] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.844 (6.853), Lt: 6.139 (6.151), Acc m&t: 2.55 4.04, Remain: 1 day, 4:49:55, Finish: 2024-11-27 04:59
[11-26 16:12:18] (/home/user/VAR/train.py , line 276)=> [ep179] (training ) Lm: 6.844 (6.853), Lt: 6.139 (6.151), Acc m&t: 2.55 4.04, Remain: 1 day, 4:50:13, Finish: 2024-11-27 05:00
[11-26 16:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:09:55 tlr: 0.00013 tnm: 0.40 Lm: 6.922 (6.922) Lt: 6.199 (6.199) Accm: 2.40 (2.40) Acct: 3.68 (3.68) proj_loss: -0.5902 (-0.5902) time: 0.3571 data: 0.0004
[11-26 16:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:09:55 tlr: 0.00013 tnm: 0.40 Lm: 6.826 (6.826) Lt: 6.149 (6.149) Accm: 2.45 (2.45) Acct: 3.86 (3.86) proj_loss: -0.5942 (-0.5942) time: 0.3565 data: 0.0005
[11-26 16:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:09:52 tlr: 0.00013 tnm: 0.40 Lm: 6.926 (6.926) Lt: 6.246 (6.246) Accm: 2.43 (2.43) Acct: 3.39 (3.39) proj_loss: -0.5879 (-0.5879) time: 0.3552 data: 0.0004
[11-26 16:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 0/1669] eta: 0:09:57 tlr: 0.00013 tnm: 0.40 Lm: 6.783 (6.783) Lt: 6.039 (6.039) Accm: 2.94 (2.94) Acct: 4.56 (4.56) proj_loss: -0.5853 (-0.5853) time: 0.3580 data: 0.0004
[11-26 16:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:07:36 tlr: 0.00013 tnm: 0.42 Lm: 6.804 (6.804) Lt: 6.053 (6.053) Accm: 2.79 (2.79) Acct: 4.36 (4.36) proj_loss: -0.5795 (-0.5795) time: 0.3611 data: 0.0003
[11-26 16:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:07:36 tlr: 0.00013 tnm: 0.42 Lm: 6.858 (6.858) Lt: 6.160 (6.160) Accm: 2.41 (2.41) Acct: 3.81 (3.81) proj_loss: -0.6017 (-0.6017) time: 0.3610 data: 0.0002
[11-26 16:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:07:36 tlr: 0.00013 tnm: 0.42 Lm: 6.925 (6.925) Lt: 6.240 (6.240) Accm: 2.45 (2.45) Acct: 3.62 (3.62) proj_loss: -0.5790 (-0.5790) time: 0.3611 data: 0.0003
[11-26 16:14:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 417/1669] eta: 0:07:36 tlr: 0.00013 tnm: 0.42 Lm: 6.820 (6.820) Lt: 6.143 (6.143) Accm: 2.44 (2.44) Acct: 3.70 (3.70) proj_loss: -0.5935 (-0.5935) time: 0.3611 data: 0.0003
[11-26 16:17:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.44 Lm: 6.815 (6.802) Lt: 6.138 (6.099) Accm: 2.45 (2.53) Acct: 3.86 (3.93) proj_loss: -0.5928 (-0.5918) time: 0.3629 data: 0.0003
[11-26 16:17:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.44 Lm: 6.925 (6.859) Lt: 6.234 (6.144) Accm: 2.46 (2.57) Acct: 3.86 (3.94) proj_loss: -0.5879 (-0.5827) time: 0.3629 data: 0.0003
[11-26 16:17:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.44 Lm: 6.922 (6.903) Lt: 6.199 (6.206) Accm: 2.40 (2.38) Acct: 3.72 (3.78) proj_loss: -0.6053 (-0.6029) time: 0.3629 data: 0.0002
[11-26 16:17:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [ 834/1669] eta: 0:05:02 tlr: 0.00013 tnm: 0.44 Lm: 6.783 (6.767) Lt: 6.039 (6.012) Accm: 2.94 (2.88) Acct: 4.56 (4.53) proj_loss: -0.5737 (-0.5725) time: 0.3629 data: 0.0003
[11-26 16:19:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.804 (6.803) Lt: 6.053 (6.070) Accm: 2.79 (2.81) Acct: 4.36 (4.44) proj_loss: -0.5795 (-0.5816) time: 0.3634 data: 0.0003
[11-26 16:19:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.925 (6.909) Lt: 6.248 (6.233) Accm: 2.36 (2.35) Acct: 3.70 (3.69) proj_loss: -0.6012 (-0.6015) time: 0.3634 data: 0.0003
[11-26 16:19:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.883 (6.855) Lt: 6.209 (6.154) Accm: 2.47 (2.55) Acct: 3.87 (3.93) proj_loss: -0.5890 (-0.5846) time: 0.3634 data: 0.0003
[11-26 16:19:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1251/1669] eta: 0:02:31 tlr: 0.00013 tnm: 0.41 Lm: 6.820 (6.828) Lt: 6.143 (6.136) Accm: 2.58 (2.58) Acct: 4.09 (4.03) proj_loss: -0.5935 (-0.5928) time: 0.3634 data: 0.0002
[11-26 16:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.826 (6.838) Lt: 6.149 (6.143) Accm: 2.57 (2.57) Acct: 4.25 (4.07) proj_loss: -0.5942 (-0.5940) time: 0.4094 data: 0.0013
[11-26 16:22:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:10:08 (0.364 s / it)
[11-26 16:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.922 (6.895) Lt: 6.199 (6.216) Accm: 2.40 (2.41) Acct: 3.72 (3.75) proj_loss: -0.6035 (-0.6019) time: 0.4094 data: 0.0016
[11-26 16:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.873 (6.859) Lt: 6.183 (6.157) Accm: 2.48 (2.57) Acct: 3.89 (3.94) proj_loss: -0.5902 (-0.5860) time: 0.4094 data: 0.0017
[11-26 16:22:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 180/350] [1668/1669] eta: 0:00:00 tlr: 0.00013 tnm: 0.40 Lm: 6.826 (6.831) Lt: 6.067 (6.103) Accm: 2.64 (2.67) Acct: 4.17 (4.23) proj_loss: -0.5853 (-0.5836) time: 0.4094 data: 0.0017
[11-26 16:22:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:10:08 (0.364 s / it)
[11-26 16:22:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:10:08 (0.364 s / it)
[11-26 16:22:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 180/350] Total time: 0:10:08 (0.364 s / it)
[11-26 16:22:26] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.844 (6.851), Lt: 6.139 (6.146), Acc m&t: 2.56 4.04, Remain: 1 day, 4:35:34, Finish: 2024-11-27 04:58
[11-26 16:22:26] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.844 (6.851), Lt: 6.139 (6.146), Acc m&t: 2.56 4.04, Remain: 1 day, 4:34:49, Finish: 2024-11-27 04:57
[11-26 16:22:26] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.844 (6.851), Lt: 6.139 (6.146), Acc m&t: 2.56 4.04, Remain: 1 day, 4:34:45, Finish: 2024-11-27 04:57
[11-26 16:22:26] (/home/user/VAR/train.py , line 276)=> [ep180] (training ) Lm: 6.844 (6.851), Lt: 6.139 (6.146), Acc m&t: 2.56 4.04, Remain: 1 day, 4:34:54, Finish: 2024-11-27 04:57
[11-26 16:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:10:37 tlr: 0.00013 tnm: 0.44 Lm: 6.742 (6.742) Lt: 6.039 (6.039) Accm: 2.86 (2.86) Acct: 4.48 (4.48) proj_loss: -0.5898 (-0.5898) time: 0.3821 data: 0.0004
[11-26 16:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:10:35 tlr: 0.00013 tnm: 0.44 Lm: 6.728 (6.728) Lt: 6.044 (6.044) Accm: 2.84 (2.84) Acct: 4.37 (4.37) proj_loss: -0.5926 (-0.5926) time: 0.3808 data: 0.0004
[11-26 16:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:09:52 tlr: 0.00013 tnm: 0.44 Lm: 6.775 (6.775) Lt: 6.066 (6.066) Accm: 2.66 (2.66) Acct: 4.08 (4.08) proj_loss: -0.5842 (-0.5842) time: 0.3550 data: 0.0004
[11-26 16:22:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 0/1669] eta: 0:10:59 tlr: 0.00013 tnm: 0.44 Lm: 6.859 (6.859) Lt: 6.122 (6.122) Accm: 2.49 (2.49) Acct: 4.12 (4.12) proj_loss: -0.5975 (-0.5975) time: 0.3952 data: 0.0004
[11-26 16:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:07:59 tlr: 0.00013 tnm: 0.41 Lm: 6.859 (6.859) Lt: 6.171 (6.171) Accm: 2.39 (2.39) Acct: 3.74 (3.74) proj_loss: -0.5936 (-0.5936) time: 0.3630 data: 0.0003
[11-26 16:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:07:59 tlr: 0.00013 tnm: 0.41 Lm: 6.748 (6.748) Lt: 6.069 (6.069) Accm: 2.79 (2.79) Acct: 4.24 (4.24) proj_loss: -0.5883 (-0.5883) time: 0.3630 data: 0.0002
[11-26 16:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:07:59 tlr: 0.00013 tnm: 0.41 Lm: 6.833 (6.833) Lt: 6.114 (6.114) Accm: 2.64 (2.64) Acct: 4.24 (4.24) proj_loss: -0.5834 (-0.5834) time: 0.3631 data: 0.0002
[11-26 16:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 417/1669] eta: 0:07:58 tlr: 0.00013 tnm: 0.41 Lm: 6.851 (6.851) Lt: 6.133 (6.133) Accm: 2.42 (2.42) Acct: 3.92 (3.92) proj_loss: -0.5886 (-0.5886) time: 0.3630 data: 0.0003
[11-26 16:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:05:18 tlr: 0.00013 tnm: 0.42 Lm: 6.928 (6.903) Lt: 6.200 (6.196) Accm: 2.18 (2.32) Acct: 3.75 (3.83) proj_loss: -0.5842 (-0.5846) time: 0.4116 data: 0.0003
[11-26 16:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:05:18 tlr: 0.00013 tnm: 0.42 Lm: 6.768 (6.777) Lt: 6.093 (6.087) Accm: 2.73 (2.67) Acct: 4.12 (4.20) proj_loss: -0.5855 (-0.5874) time: 0.4116 data: 0.0003
[11-26 16:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:05:18 tlr: 0.00013 tnm: 0.42 Lm: 6.859 (6.883) Lt: 6.220 (6.188) Accm: 2.37 (2.38) Acct: 3.63 (3.71) proj_loss: -0.5897 (-0.5898) time: 0.4115 data: 0.0003
[11-26 16:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [ 834/1669] eta: 0:05:18 tlr: 0.00013 tnm: 0.42 Lm: 6.913 (6.860) Lt: 6.190 (6.149) Accm: 2.45 (2.58) Acct: 4.01 (4.06) proj_loss: -0.5879 (-0.5849) time: 0.4116 data: 0.0003
[11-26 16:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 0.40 Lm: 6.883 (6.858) Lt: 6.149 (6.138) Accm: 2.50 (2.57) Acct: 4.09 (4.09) proj_loss: -0.5889 (-0.5907) time: 0.3602 data: 0.0003
[11-26 16:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 0.40 Lm: 6.896 (6.894) Lt: 6.205 (6.199) Accm: 2.36 (2.38) Acct: 3.78 (3.82) proj_loss: -0.5886 (-0.5896) time: 0.3602 data: 0.0003
[11-26 16:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 0.40 Lm: 6.757 (6.769) Lt: 6.069 (6.074) Accm: 2.72 (2.68) Acct: 4.24 (4.24) proj_loss: -0.5890 (-0.5915) time: 0.3602 data: 0.0002
[11-26 16:30:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 0.40 Lm: 6.859 (6.871) Lt: 6.194 (6.183) Accm: 2.41 (2.40) Acct: 3.74 (3.74) proj_loss: -0.5936 (-0.5933) time: 0.3602 data: 0.0003
[11-26 16:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.859 (6.877) Lt: 6.220 (6.195) Accm: 2.37 (2.36) Acct: 3.63 (3.70) proj_loss: -0.5897 (-0.5921) time: 0.3629 data: 0.0018
[11-26 16:32:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:10:29 (0.377 s / it)
[11-26 16:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.768 (6.775) Lt: 6.075 (6.074) Accm: 2.73 (2.70) Acct: 4.34 (4.26) proj_loss: -0.5926 (-0.5937) time: 0.3629 data: 0.0016
[11-26 16:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.852 (6.841) Lt: 6.108 (6.124) Accm: 2.55 (2.59) Acct: 4.13 (4.10) proj_loss: -0.5898 (-0.5911) time: 0.3629 data: 0.0015
[11-26 16:32:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 181/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.928 (6.913) Lt: 6.209 (6.214) Accm: 2.21 (2.34) Acct: 3.81 (3.83) proj_loss: -0.5888 (-0.5895) time: 0.3629 data: 0.0016
[11-26 16:32:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:10:29 (0.377 s / it)
[11-26 16:32:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:10:29 (0.377 s / it)
[11-26 16:32:55] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 181/350] Total time: 0:10:29 (0.377 s / it)
[11-26 16:32:55] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.844 (6.856), Lt: 6.139 (6.163), Acc m&t: 2.56 4.04, Remain: 1 day, 4:26:20, Finish: 2024-11-27 04:59
[11-26 16:32:55] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.844 (6.856), Lt: 6.139 (6.163), Acc m&t: 2.56 4.04, Remain: 1 day, 4:25:50, Finish: 2024-11-27 04:58
[11-26 16:32:55] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.844 (6.856), Lt: 6.139 (6.163), Acc m&t: 2.56 4.04, Remain: 1 day, 4:24:22, Finish: 2024-11-27 04:57
[11-26 16:32:55] (/home/user/VAR/train.py , line 276)=> [ep181] (training ) Lm: 6.844 (6.856), Lt: 6.139 (6.163), Acc m&t: 2.56 4.04, Remain: 1 day, 4:25:01, Finish: 2024-11-27 04:57
[11-26 16:32:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:10:13 tlr: 0.00012 tnm: 0.39 Lm: 6.805 (6.805) Lt: 6.089 (6.089) Accm: 2.69 (2.69) Acct: 4.44 (4.44) proj_loss: -0.5831 (-0.5831) time: 0.3678 data: 0.0003
[11-26 16:32:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:10:15 tlr: 0.00012 tnm: 0.39 Lm: 6.840 (6.840) Lt: 6.200 (6.200) Accm: 2.49 (2.49) Acct: 3.82 (3.82) proj_loss: -0.6009 (-0.6009) time: 0.3687 data: 0.0004
[11-26 16:32:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:10:15 tlr: 0.00012 tnm: 0.39 Lm: 6.922 (6.922) Lt: 6.224 (6.224) Accm: 2.08 (2.08) Acct: 3.27 (3.27) proj_loss: -0.6157 (-0.6157) time: 0.3690 data: 0.0003
[11-26 16:32:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 0/1669] eta: 0:10:16 tlr: 0.00012 tnm: 0.39 Lm: 6.809 (6.809) Lt: 6.070 (6.070) Accm: 2.51 (2.51) Acct: 3.96 (3.96) proj_loss: -0.5881 (-0.5881) time: 0.3692 data: 0.0004
[11-26 16:35:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.43 Lm: 6.793 (6.793) Lt: 6.079 (6.079) Accm: 2.61 (2.61) Acct: 4.10 (4.10) proj_loss: -0.5935 (-0.5935) time: 0.3595 data: 0.0003
[11-26 16:35:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.43 Lm: 6.895 (6.895) Lt: 6.214 (6.214) Accm: 2.45 (2.45) Acct: 3.92 (3.92) proj_loss: -0.5906 (-0.5906) time: 0.3595 data: 0.0003
[11-26 16:35:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.43 Lm: 6.943 (6.943) Lt: 6.250 (6.250) Accm: 2.32 (2.32) Acct: 3.75 (3.75) proj_loss: -0.5825 (-0.5825) time: 0.3595 data: 0.0003
[11-26 16:35:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.43 Lm: 6.931 (6.931) Lt: 6.218 (6.218) Accm: 2.26 (2.26) Acct: 3.70 (3.70) proj_loss: -0.6056 (-0.6056) time: 0.3595 data: 0.0003
[11-26 16:37:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.922 (6.913) Lt: 6.212 (6.207) Accm: 2.45 (2.33) Acct: 3.75 (3.72) proj_loss: -0.5990 (-0.6034) time: 0.3596 data: 0.0003
[11-26 16:37:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.881 (6.922) Lt: 6.126 (6.208) Accm: 2.52 (2.39) Acct: 4.12 (3.87) proj_loss: -0.5831 (-0.5834) time: 0.3596 data: 0.0002
[11-26 16:37:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.809 (6.848) Lt: 6.087 (6.154) Accm: 2.51 (2.50) Acct: 3.96 (3.94) proj_loss: -0.5942 (-0.5937) time: 0.3596 data: 0.0003
[11-26 16:37:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.840 (6.877) Lt: 6.200 (6.191) Accm: 2.49 (2.55) Acct: 4.01 (3.99) proj_loss: -0.6009 (-0.5953) time: 0.3596 data: 0.0003
[11-26 16:40:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.41 Lm: 6.840 (6.824) Lt: 6.172 (6.122) Accm: 2.61 (2.62) Acct: 4.08 (4.13) proj_loss: -0.5906 (-0.5899) time: 0.3617 data: 0.0003
[11-26 16:40:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.41 Lm: 6.872 (6.907) Lt: 6.128 (6.189) Accm: 2.60 (2.47) Acct: 4.22 (3.99) proj_loss: -0.5842 (-0.5869) time: 0.3617 data: 0.0004
[11-26 16:40:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.41 Lm: 6.924 (6.916) Lt: 6.218 (6.215) Accm: 2.45 (2.36) Acct: 3.74 (3.72) proj_loss: -0.5973 (-0.5953) time: 0.3617 data: 0.0003
[11-26 16:40:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.41 Lm: 6.793 (6.806) Lt: 6.079 (6.107) Accm: 2.61 (3.11) Acct: 4.10 (4.56) proj_loss: -0.5919 (-0.5927) time: 0.3617 data: 0.0003
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.840 (6.819) Lt: 6.144 (6.116) Accm: 2.59 (2.62) Acct: 4.01 (4.08) proj_loss: -0.5937 (-0.5906) time: 0.3618 data: 0.0015
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.863 (6.889) Lt: 6.126 (6.167) Accm: 2.52 (2.45) Acct: 4.12 (3.97) proj_loss: -0.5853 (-0.5883) time: 0.3618 data: 0.0016
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.809 (6.832) Lt: 6.087 (6.129) Accm: 2.51 (2.94) Acct: 3.96 (4.37) proj_loss: -0.5896 (-0.5896) time: 0.3618 data: 0.0018
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:10:02 (0.361 s / it)
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 182/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.922 (6.859) Lt: 6.212 (6.156) Accm: 2.45 (2.50) Acct: 3.75 (3.93) proj_loss: -0.5988 (-0.5960) time: 0.3618 data: 0.0018
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:10:02 (0.361 s / it)
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:10:02 (0.361 s / it)
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 182/350] Total time: 0:10:02 (0.361 s / it)
[11-26 16:42:58] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.844 (6.847), Lt: 6.139 (6.146), Acc m&t: 2.56 4.04, Remain: 1 day, 4:04:04, Finish: 2024-11-27 04:47
[11-26 16:42:58] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.844 (6.847), Lt: 6.139 (6.146), Acc m&t: 2.56 4.04, Remain: 1 day, 4:04:00, Finish: 2024-11-27 04:46
[11-26 16:42:58] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.844 (6.847), Lt: 6.139 (6.146), Acc m&t: 2.56 4.04, Remain: 1 day, 4:04:03, Finish: 2024-11-27 04:47
[11-26 16:42:58] (/home/user/VAR/train.py , line 276)=> [ep182] (training ) Lm: 6.844 (6.847), Lt: 6.139 (6.146), Acc m&t: 2.56 4.04, Remain: 1 day, 4:03:36, Finish: 2024-11-27 04:46
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:09:41 tlr: 0.00012 tnm: 0.39 Lm: 6.847 (6.847) Lt: 6.149 (6.149) Accm: 2.73 (2.73) Acct: 4.18 (4.18) proj_loss: -0.5963 (-0.5963) time: 0.3486 data: 0.0004
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:09:41 tlr: 0.00012 tnm: 0.39 Lm: 6.772 (6.772) Lt: 6.080 (6.080) Accm: 2.65 (2.65) Acct: 3.72 (3.72) proj_loss: -0.5892 (-0.5892) time: 0.3486 data: 0.0004
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:09:41 tlr: 0.00012 tnm: 0.39 Lm: 6.888 (6.888) Lt: 6.195 (6.195) Accm: 2.16 (2.16) Acct: 3.62 (3.62) proj_loss: -0.6034 (-0.6034) time: 0.3482 data: 0.0004
[11-26 16:42:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 0/1669] eta: 0:10:17 tlr: 0.00012 tnm: 0.39 Lm: 6.973 (6.973) Lt: 6.293 (6.293) Accm: 2.29 (2.29) Acct: 3.56 (3.56) proj_loss: -0.5913 (-0.5913) time: 0.3702 data: 0.0003
[11-26 16:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.879 (6.879) Lt: 6.194 (6.194) Accm: 2.40 (2.40) Acct: 3.88 (3.88) proj_loss: -0.5851 (-0.5851) time: 0.3599 data: 0.0003
[11-26 16:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.830 (6.830) Lt: 6.117 (6.117) Accm: 2.60 (2.60) Acct: 3.93 (3.93) proj_loss: -0.5815 (-0.5815) time: 0.3600 data: 0.0003
[11-26 16:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.845 (6.845) Lt: 6.153 (6.153) Accm: 2.59 (2.59) Acct: 4.00 (4.00) proj_loss: -0.5949 (-0.5949) time: 0.3600 data: 0.0002
[11-26 16:45:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.887 (6.887) Lt: 6.174 (6.174) Accm: 2.32 (2.32) Acct: 3.77 (3.77) proj_loss: -0.5949 (-0.5949) time: 0.3600 data: 0.0002
[11-26 16:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:05:03 tlr: 0.00012 tnm: 0.40 Lm: 6.886 (6.858) Lt: 6.153 (6.146) Accm: 2.40 (2.35) Acct: 3.89 (3.81) proj_loss: -0.5863 (-0.5909) time: 0.3584 data: 0.0002
[11-26 16:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:05:03 tlr: 0.00012 tnm: 0.40 Lm: 6.810 (6.823) Lt: 6.080 (6.105) Accm: 2.65 (2.64) Acct: 4.13 (4.01) proj_loss: -0.5829 (-0.5819) time: 0.3584 data: 0.0002
[11-26 16:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:05:03 tlr: 0.00012 tnm: 0.40 Lm: 6.843 (6.841) Lt: 6.149 (6.152) Accm: 2.73 (2.66) Acct: 4.18 (4.09) proj_loss: -0.5934 (-0.5905) time: 0.3584 data: 0.0003
[11-26 16:48:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [ 834/1669] eta: 0:05:03 tlr: 0.00012 tnm: 0.40 Lm: 6.785 (6.842) Lt: 6.096 (6.139) Accm: 2.51 (2.46) Acct: 4.20 (4.05) proj_loss: -0.5789 (-0.5730) time: 0.3584 data: 0.0003
[11-26 16:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.40 Lm: 6.786 (6.828) Lt: 6.062 (6.106) Accm: 2.54 (2.55) Acct: 4.30 (4.20) proj_loss: -0.5794 (-0.5747) time: 0.3603 data: 0.0003
[11-26 16:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.40 Lm: 6.838 (6.815) Lt: 6.149 (6.112) Accm: 2.71 (2.67) Acct: 4.23 (4.19) proj_loss: -0.5879 (-0.5884) time: 0.3603 data: 0.0003
[11-26 16:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.40 Lm: 6.831 (6.831) Lt: 6.086 (6.102) Accm: 2.60 (2.58) Acct: 4.00 (3.97) proj_loss: -0.5830 (-0.5822) time: 0.3603 data: 0.0003
[11-26 16:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1251/1669] eta: 0:02:31 tlr: 0.00012 tnm: 0.40 Lm: 6.887 (6.871) Lt: 6.174 (6.162) Accm: 2.45 (2.40) Acct: 3.85 (3.81) proj_loss: -0.5846 (-0.5854) time: 0.3603 data: 0.0003
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.886 (6.854) Lt: 6.153 (6.140) Accm: 2.40 (2.39) Acct: 3.89 (3.87) proj_loss: -0.5863 (-0.5867) time: 0.3603 data: 0.0015
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:10:11 (0.366 s / it)
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.853 (6.858) Lt: 6.093 (6.142) Accm: 2.56 (2.50) Acct: 3.87 (3.88) proj_loss: -0.5830 (-0.5835) time: 0.3603 data: 0.0016
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.843 (6.849) Lt: 6.149 (6.156) Accm: 2.69 (2.57) Acct: 4.18 (4.03) proj_loss: -0.5934 (-0.5911) time: 0.3603 data: 0.0016
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 183/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.787 (6.835) Lt: 6.096 (6.112) Accm: 2.57 (2.59) Acct: 4.30 (4.22) proj_loss: -0.5799 (-0.5784) time: 0.3603 data: 0.0018
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:10:11 (0.366 s / it)
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:10:11 (0.366 s / it)
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 183/350] Total time: 0:10:11 (0.366 s / it)
[11-26 16:53:09] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.844 (6.859), Lt: 6.139 (6.159), Acc m&t: 2.56 4.04, Remain: 1 day, 3:52:55, Finish: 2024-11-27 04:46
[11-26 16:53:09] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.844 (6.859), Lt: 6.139 (6.159), Acc m&t: 2.56 4.04, Remain: 1 day, 3:52:56, Finish: 2024-11-27 04:46
[11-26 16:53:09] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.844 (6.859), Lt: 6.139 (6.159), Acc m&t: 2.56 4.04, Remain: 1 day, 3:52:38, Finish: 2024-11-27 04:45
[11-26 16:53:09] (/home/user/VAR/train.py , line 276)=> [ep183] (training ) Lm: 6.844 (6.859), Lt: 6.139 (6.159), Acc m&t: 2.56 4.04, Remain: 1 day, 3:53:07, Finish: 2024-11-27 04:46
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:09:30 tlr: 0.00012 tnm: 0.43 Lm: 6.750 (6.750) Lt: 5.972 (5.972) Accm: 2.79 (2.79) Acct: 4.68 (4.68) proj_loss: -0.5895 (-0.5895) time: 0.3420 data: 0.0003
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:09:40 tlr: 0.00012 tnm: 0.43 Lm: 6.778 (6.778) Lt: 6.080 (6.080) Accm: 2.74 (2.74) Acct: 4.22 (4.22) proj_loss: -0.5896 (-0.5896) time: 0.3478 data: 0.0004
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:09:32 tlr: 0.00012 tnm: 0.43 Lm: 6.823 (6.823) Lt: 6.105 (6.105) Accm: 2.54 (2.54) Acct: 3.99 (3.99) proj_loss: -0.5978 (-0.5978) time: 0.3428 data: 0.0004
[11-26 16:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 0/1669] eta: 0:09:32 tlr: 0.00012 tnm: 0.43 Lm: 6.925 (6.925) Lt: 6.232 (6.232) Accm: 2.18 (2.18) Acct: 3.58 (3.58) proj_loss: -0.6022 (-0.6022) time: 0.3430 data: 0.0003
[11-26 16:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:07:56 tlr: 0.00012 tnm: 0.42 Lm: 6.897 (6.897) Lt: 6.184 (6.184) Accm: 2.33 (2.33) Acct: 3.77 (3.77) proj_loss: -0.5912 (-0.5912) time: 0.3612 data: 0.0003
[11-26 16:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:07:56 tlr: 0.00012 tnm: 0.42 Lm: 6.819 (6.819) Lt: 6.092 (6.092) Accm: 2.59 (2.59) Acct: 4.16 (4.16) proj_loss: -0.5920 (-0.5920) time: 0.3612 data: 0.0003
[11-26 16:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:07:56 tlr: 0.00012 tnm: 0.42 Lm: 6.822 (6.822) Lt: 6.090 (6.090) Accm: 2.57 (2.57) Acct: 4.15 (4.15) proj_loss: -0.5947 (-0.5947) time: 0.3612 data: 0.0002
[11-26 16:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 417/1669] eta: 0:07:56 tlr: 0.00012 tnm: 0.42 Lm: 6.870 (6.870) Lt: 6.187 (6.187) Accm: 2.41 (2.41) Acct: 3.67 (3.67) proj_loss: -0.5781 (-0.5781) time: 0.3612 data: 0.0002
[11-26 16:58:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 0.41 Lm: 6.896 (6.879) Lt: 6.278 (6.217) Accm: 2.32 (2.38) Acct: 3.53 (3.62) proj_loss: -0.5896 (-0.5849) time: 0.3600 data: 0.0003
[11-26 16:58:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 0.41 Lm: 6.815 (6.813) Lt: 6.094 (6.092) Accm: 2.64 (2.65) Acct: 4.32 (4.24) proj_loss: -0.5895 (-0.5912) time: 0.3600 data: 0.0003
[11-26 16:58:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 0.41 Lm: 6.869 (6.838) Lt: 6.165 (6.115) Accm: 2.57 (2.57) Acct: 4.08 (4.13) proj_loss: -0.5913 (-0.5936) time: 0.3600 data: 0.0003
[11-26 16:58:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 0.41 Lm: 6.869 (6.879) Lt: 6.136 (6.156) Accm: 2.48 (2.38) Acct: 3.96 (3.86) proj_loss: -0.5846 (-0.5890) time: 0.3600 data: 0.0003
[11-26 17:01:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:02:38 tlr: 0.00012 tnm: 0.42 Lm: 6.856 (6.869) Lt: 6.133 (6.149) Accm: 2.48 (2.44) Acct: 3.99 (3.93) proj_loss: -0.5934 (-0.5932) time: 0.3600 data: 0.0003
[11-26 17:01:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:02:38 tlr: 0.00012 tnm: 0.42 Lm: 6.836 (6.829) Lt: 6.135 (6.113) Accm: 2.60 (2.58) Acct: 4.08 (4.12) proj_loss: -0.5904 (-0.5921) time: 0.3600 data: 0.0003
[11-26 17:01:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:02:38 tlr: 0.00012 tnm: 0.42 Lm: 6.808 (6.803) Lt: 6.086 (6.085) Accm: 2.71 (2.71) Acct: 4.30 (4.25) proj_loss: -0.5895 (-0.5907) time: 0.3600 data: 0.0003
[11-26 17:01:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1251/1669] eta: 0:02:38 tlr: 0.00012 tnm: 0.42 Lm: 6.929 (6.920) Lt: 6.286 (6.266) Accm: 2.20 (2.29) Acct: 3.40 (3.53) proj_loss: -0.5921 (-0.5873) time: 0.3600 data: 0.0004
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.896 (6.869) Lt: 6.278 (6.211) Accm: 2.32 (2.36) Acct: 3.53 (3.58) proj_loss: -0.5896 (-0.5849) time: 0.3622 data: 0.0016
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:10:25 (0.375 s / it)
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.802 (6.797) Lt: 6.094 (6.091) Accm: 2.78 (2.73) Acct: 4.27 (4.25) proj_loss: -0.5895 (-0.5922) time: 0.3622 data: 0.0016
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.869 (6.873) Lt: 6.136 (6.165) Accm: 2.48 (2.39) Acct: 3.96 (3.85) proj_loss: -0.5846 (-0.5907) time: 0.3622 data: 0.0026
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 184/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.869 (6.858) Lt: 6.165 (6.142) Accm: 2.57 (2.55) Acct: 4.08 (4.05) proj_loss: -0.5895 (-0.5894) time: 0.3622 data: 0.0013
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:10:25 (0.375 s / it)
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:10:25 (0.375 s / it)
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 184/350] Total time: 0:10:25 (0.375 s / it)
[11-26 17:03:35] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.844 (6.850), Lt: 6.139 (6.149), Acc m&t: 2.56 4.04, Remain: 1 day, 3:41:11, Finish: 2024-11-27 04:44
[11-26 17:03:35] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.844 (6.850), Lt: 6.139 (6.149), Acc m&t: 2.56 4.04, Remain: 1 day, 3:40:39, Finish: 2024-11-27 04:44
[11-26 17:03:35] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.844 (6.850), Lt: 6.139 (6.149), Acc m&t: 2.56 4.04, Remain: 1 day, 3:40:20, Finish: 2024-11-27 04:43
[11-26 17:03:35] (/home/user/VAR/train.py , line 276)=> [ep184] (training ) Lm: 6.844 (6.850), Lt: 6.139 (6.149), Acc m&t: 2.56 4.04, Remain: 1 day, 3:40:44, Finish: 2024-11-27 04:44
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:09:39 tlr: 0.00012 tnm: 0.43 Lm: 6.843 (6.843) Lt: 6.145 (6.145) Accm: 2.68 (2.68) Acct: 3.98 (3.98) proj_loss: -0.5743 (-0.5743) time: 0.3470 data: 0.0003
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:09:39 tlr: 0.00012 tnm: 0.43 Lm: 6.938 (6.938) Lt: 6.329 (6.329) Accm: 2.37 (2.37) Acct: 3.63 (3.63) proj_loss: -0.5918 (-0.5918) time: 0.3469 data: 0.0004
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:09:38 tlr: 0.00012 tnm: 0.43 Lm: 6.837 (6.837) Lt: 6.105 (6.105) Accm: 2.58 (2.58) Acct: 4.36 (4.36) proj_loss: -0.5926 (-0.5926) time: 0.3464 data: 0.0004
[11-26 17:03:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 0/1669] eta: 0:09:36 tlr: 0.00012 tnm: 0.43 Lm: 6.885 (6.885) Lt: 6.164 (6.164) Accm: 2.58 (2.58) Acct: 3.86 (3.86) proj_loss: -0.5763 (-0.5763) time: 0.3455 data: 0.0004
[11-26 17:06:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.921 (6.921) Lt: 6.227 (6.227) Accm: 2.47 (2.47) Acct: 3.76 (3.76) proj_loss: -0.5814 (-0.5814) time: 0.3627 data: 0.0003
[11-26 17:06:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.882 (6.882) Lt: 6.200 (6.200) Accm: 2.38 (2.38) Acct: 3.62 (3.62) proj_loss: -0.5859 (-0.5859) time: 0.3627 data: 0.0005
[11-26 17:06:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.813 (6.813) Lt: 6.111 (6.111) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.5903 (-0.5903) time: 0.3627 data: 0.0004
[11-26 17:06:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.939 (6.939) Lt: 6.289 (6.289) Accm: 2.30 (2.30) Acct: 3.56 (3.56) proj_loss: -0.5870 (-0.5870) time: 0.3627 data: 0.0003
[11-26 17:08:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.43 Lm: 6.939 (6.964) Lt: 6.329 (6.311) Accm: 2.24 (2.27) Acct: 3.48 (3.53) proj_loss: -0.5821 (-0.5828) time: 0.3601 data: 0.0003
[11-26 17:08:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.43 Lm: 6.897 (6.887) Lt: 6.227 (6.209) Accm: 2.48 (2.42) Acct: 3.98 (3.77) proj_loss: -0.5974 (-0.5919) time: 0.3601 data: 0.0002
[11-26 17:08:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.43 Lm: 6.951 (6.931) Lt: 6.261 (6.238) Accm: 2.45 (2.46) Acct: 3.86 (3.90) proj_loss: -0.5763 (-0.5756) time: 0.3601 data: 0.0003
[11-26 17:08:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.43 Lm: 6.837 (6.830) Lt: 6.118 (6.151) Accm: 2.58 (2.64) Acct: 4.36 (4.25) proj_loss: -0.5879 (-0.5881) time: 0.3601 data: 0.0003
[11-26 17:11:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.44 Lm: 6.826 (6.826) Lt: 6.120 (6.144) Accm: 2.64 (2.66) Acct: 4.22 (4.21) proj_loss: -0.5882 (-0.5882) time: 0.3604 data: 0.0002
[11-26 17:11:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.44 Lm: 6.870 (6.855) Lt: 6.186 (6.177) Accm: 2.58 (2.51) Acct: 4.02 (3.95) proj_loss: -0.5960 (-0.5926) time: 0.3604 data: 0.0002
[11-26 17:11:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.44 Lm: 6.918 (6.904) Lt: 6.213 (6.208) Accm: 2.51 (2.51) Acct: 4.01 (4.01) proj_loss: -0.5814 (-0.5819) time: 0.3604 data: 0.0003
[11-26 17:11:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.44 Lm: 6.939 (6.907) Lt: 6.289 (6.232) Accm: 2.30 (2.37) Acct: 3.56 (3.71) proj_loss: -0.5832 (-0.5832) time: 0.3604 data: 0.0003
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.938 (6.901) Lt: 6.249 (6.226) Accm: 2.37 (2.38) Acct: 3.63 (3.73) proj_loss: -0.5842 (-0.5865) time: 0.3628 data: 0.0018
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:10:02 (0.361 s / it)
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.843 (6.850) Lt: 6.145 (6.157) Accm: 2.52 (2.51) Acct: 4.03 (3.97) proj_loss: -0.5946 (-0.5908) time: 0.3628 data: 0.0020
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.814 (6.821) Lt: 6.118 (6.132) Accm: 2.63 (2.65) Acct: 4.08 (4.16) proj_loss: -0.5886 (-0.5897) time: 0.3628 data: 0.0014
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 185/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.42 Lm: 6.893 (6.902) Lt: 6.169 (6.200) Accm: 2.49 (2.51) Acct: 4.01 (4.01) proj_loss: -0.5864 (-0.5851) time: 0.3628 data: 0.0020
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:10:02 (0.361 s / it)
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:10:02 (0.361 s / it)
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 185/350] Total time: 0:10:02 (0.361 s / it)
[11-26 17:13:38] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.844 (6.848), Lt: 6.139 (6.149), Acc m&t: 2.57 4.05, Remain: 1 day, 3:38:54, Finish: 2024-11-27 04:52
[11-26 17:13:38] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.844 (6.848), Lt: 6.139 (6.149), Acc m&t: 2.57 4.05, Remain: 1 day, 3:41:03, Finish: 2024-11-27 04:54
[11-26 17:13:38] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.844 (6.848), Lt: 6.139 (6.149), Acc m&t: 2.57 4.05, Remain: 1 day, 3:41:08, Finish: 2024-11-27 04:54
[11-26 17:13:38] (/home/user/VAR/train.py , line 276)=> [ep185] (training ) Lm: 6.844 (6.848), Lt: 6.139 (6.149), Acc m&t: 2.57 4.05, Remain: 1 day, 3:40:55, Finish: 2024-11-27 04:54
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:09:36 tlr: 0.00012 tnm: 0.44 Lm: 6.836 (6.836) Lt: 6.050 (6.050) Accm: 2.33 (2.33) Acct: 3.82 (3.82) proj_loss: -0.5957 (-0.5957) time: 0.3456 data: 0.0003
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:09:36 tlr: 0.00012 tnm: 0.44 Lm: 6.933 (6.933) Lt: 6.214 (6.214) Accm: 2.35 (2.35) Acct: 3.60 (3.60) proj_loss: -0.5841 (-0.5841) time: 0.3453 data: 0.0004
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:10:04 tlr: 0.00012 tnm: 0.44 Lm: 6.895 (6.895) Lt: 6.191 (6.191) Accm: 2.21 (2.21) Acct: 3.74 (3.74) proj_loss: -0.5986 (-0.5986) time: 0.3623 data: 0.0003
[11-26 17:13:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 0/1669] eta: 0:09:37 tlr: 0.00012 tnm: 0.44 Lm: 6.869 (6.869) Lt: 6.152 (6.152) Accm: 2.56 (2.56) Acct: 3.99 (3.99) proj_loss: -0.5986 (-0.5986) time: 0.3458 data: 0.0004
[11-26 17:16:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.41 Lm: 6.895 (6.895) Lt: 6.196 (6.196) Accm: 2.38 (2.38) Acct: 3.66 (3.66) proj_loss: -0.5917 (-0.5917) time: 0.3594 data: 0.0003
[11-26 17:16:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.41 Lm: 6.845 (6.845) Lt: 6.153 (6.153) Accm: 2.64 (2.64) Acct: 4.12 (4.12) proj_loss: -0.5918 (-0.5918) time: 0.3594 data: 0.0003
[11-26 17:16:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.41 Lm: 6.964 (6.964) Lt: 6.286 (6.286) Accm: 2.20 (2.20) Acct: 3.70 (3.70) proj_loss: -0.5884 (-0.5884) time: 0.3594 data: 0.0003
[11-26 17:16:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.41 Lm: 6.878 (6.878) Lt: 6.114 (6.114) Accm: 2.43 (2.43) Acct: 3.92 (3.92) proj_loss: -0.5987 (-0.5987) time: 0.3594 data: 0.0003
[11-26 17:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.42 Lm: 6.866 (6.874) Lt: 6.179 (6.139) Accm: 2.33 (2.39) Acct: 3.82 (3.81) proj_loss: -0.5957 (-0.5948) time: 0.3606 data: 0.0003
[11-26 17:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.42 Lm: 6.882 (6.858) Lt: 6.214 (6.179) Accm: 2.35 (2.53) Acct: 3.60 (3.90) proj_loss: -0.5995 (-0.5981) time: 0.3606 data: 0.0003
[11-26 17:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.42 Lm: 6.869 (6.861) Lt: 6.152 (6.146) Accm: 2.56 (2.48) Acct: 3.99 (3.90) proj_loss: -0.5848 (-0.5839) time: 0.3606 data: 0.0003
[11-26 17:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.42 Lm: 6.895 (6.896) Lt: 6.191 (6.215) Accm: 2.21 (2.36) Acct: 3.74 (3.96) proj_loss: -0.5986 (-0.5943) time: 0.3606 data: 0.0003
[11-26 17:21:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.865 (6.881) Lt: 6.159 (6.193) Accm: 2.45 (2.46) Acct: 4.05 (4.06) proj_loss: -0.5996 (-0.5958) time: 0.4365 data: 0.0003
[11-26 17:21:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.865 (6.855) Lt: 6.202 (6.182) Accm: 2.33 (2.43) Acct: 3.54 (3.77) proj_loss: -0.6043 (-0.6009) time: 0.4365 data: 0.0003
[11-26 17:21:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.858 (6.858) Lt: 6.163 (6.153) Accm: 2.55 (2.50) Acct: 4.02 (3.93) proj_loss: -0.5916 (-0.5875) time: 0.4365 data: 0.0003
[11-26 17:21:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1251/1669] eta: 0:02:32 tlr: 0.00012 tnm: 0.43 Lm: 6.875 (6.876) Lt: 6.183 (6.155) Accm: 2.43 (2.42) Acct: 3.87 (3.84) proj_loss: -0.5914 (-0.5908) time: 0.4365 data: 0.0002
[11-26 17:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.866 (6.840) Lt: 6.179 (6.120) Accm: 2.52 (2.53) Acct: 3.93 (4.00) proj_loss: -0.5957 (-0.5923) time: 0.3632 data: 0.0022
[11-26 17:23:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:10:16 (0.369 s / it)
[11-26 17:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.848 (6.828) Lt: 6.190 (6.140) Accm: 2.35 (2.45) Acct: 3.60 (3.89) proj_loss: -0.5995 (-0.5930) time: 0.3632 data: 0.0016
[11-26 17:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.847 (6.848) Lt: 6.152 (6.141) Accm: 2.56 (2.52) Acct: 4.01 (3.95) proj_loss: -0.5983 (-0.5914) time: 0.3632 data: 0.0017
[11-26 17:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 186/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.834 (6.868) Lt: 6.127 (6.170) Accm: 2.35 (2.44) Acct: 3.89 (4.03) proj_loss: -0.5986 (-0.5900) time: 0.3632 data: 0.0019
[11-26 17:23:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:10:16 (0.369 s / it)
[11-26 17:23:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:10:16 (0.369 s / it)
[11-26 17:23:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 186/350] Total time: 0:10:16 (0.369 s / it)
[11-26 17:23:54] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.844 (6.854), Lt: 6.139 (6.149), Acc m&t: 2.57 4.05, Remain: 1 day, 3:35:23, Finish: 2024-11-27 04:59
[11-26 17:23:54] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.844 (6.854), Lt: 6.139 (6.149), Acc m&t: 2.57 4.05, Remain: 1 day, 3:35:02, Finish: 2024-11-27 04:58
[11-26 17:23:54] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.844 (6.854), Lt: 6.139 (6.149), Acc m&t: 2.57 4.05, Remain: 1 day, 3:36:07, Finish: 2024-11-27 05:00
[11-26 17:23:54] (/home/user/VAR/train.py , line 276)=> [ep186] (training ) Lm: 6.844 (6.854), Lt: 6.139 (6.149), Acc m&t: 2.57 4.05, Remain: 1 day, 3:35:30, Finish: 2024-11-27 04:59
[11-26 17:23:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.43 Lm: 6.987 (6.987) Lt: 6.378 (6.378) Accm: 2.22 (2.22) Acct: 3.29 (3.29) proj_loss: -0.5880 (-0.5880) time: 0.3439 data: 0.0004
[11-26 17:23:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:09:34 tlr: 0.00012 tnm: 0.43 Lm: 6.779 (6.779) Lt: 6.035 (6.035) Accm: 2.61 (2.61) Acct: 4.15 (4.15) proj_loss: -0.5860 (-0.5860) time: 0.3442 data: 0.0004
[11-26 17:23:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:09:35 tlr: 0.00012 tnm: 0.43 Lm: 6.843 (6.843) Lt: 6.127 (6.127) Accm: 2.37 (2.37) Acct: 3.84 (3.84) proj_loss: -0.5971 (-0.5971) time: 0.3446 data: 0.0004
[11-26 17:23:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 0/1669] eta: 0:09:34 tlr: 0.00012 tnm: 0.43 Lm: 6.832 (6.832) Lt: 6.133 (6.133) Accm: 2.32 (2.32) Acct: 3.79 (3.79) proj_loss: -0.5978 (-0.5978) time: 0.3440 data: 0.0004
[11-26 17:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:07:56 tlr: 0.00012 tnm: 0.41 Lm: 6.817 (6.817) Lt: 6.124 (6.124) Accm: 2.46 (2.46) Acct: 3.95 (3.95) proj_loss: -0.6002 (-0.6002) time: 0.4067 data: 0.0003
[11-26 17:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:07:56 tlr: 0.00012 tnm: 0.41 Lm: 6.875 (6.875) Lt: 6.199 (6.199) Accm: 2.54 (2.54) Acct: 3.97 (3.97) proj_loss: -0.5853 (-0.5853) time: 0.4067 data: 0.0003
[11-26 17:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:07:56 tlr: 0.00012 tnm: 0.41 Lm: 6.778 (6.778) Lt: 6.054 (6.054) Accm: 2.70 (2.70) Acct: 4.23 (4.23) proj_loss: -0.5963 (-0.5963) time: 0.4067 data: 0.0003
[11-26 17:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 417/1669] eta: 0:07:56 tlr: 0.00012 tnm: 0.41 Lm: 6.892 (6.892) Lt: 6.180 (6.180) Accm: 2.37 (2.37) Acct: 3.73 (3.73) proj_loss: -0.5781 (-0.5781) time: 0.4067 data: 0.0003
[11-26 17:29:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:05:16 tlr: 0.00012 tnm: 0.40 Lm: 6.865 (6.883) Lt: 6.174 (6.178) Accm: 2.38 (2.43) Acct: 3.84 (3.77) proj_loss: -0.5878 (-0.5813) time: 0.3590 data: 0.0003
[11-26 17:29:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:05:16 tlr: 0.00012 tnm: 0.40 Lm: 6.837 (6.862) Lt: 6.110 (6.169) Accm: 2.86 (2.66) Acct: 4.53 (4.16) proj_loss: -0.5851 (-0.5852) time: 0.3589 data: 0.0003
[11-26 17:29:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:05:16 tlr: 0.00012 tnm: 0.40 Lm: 6.803 (6.808) Lt: 6.115 (6.098) Accm: 2.60 (2.54) Acct: 4.12 (4.11) proj_loss: -0.5978 (-0.5930) time: 0.3590 data: 0.0002
[11-26 17:29:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [ 834/1669] eta: 0:05:16 tlr: 0.00012 tnm: 0.40 Lm: 6.779 (6.808) Lt: 6.073 (6.101) Accm: 2.61 (2.61) Acct: 4.15 (4.12) proj_loss: -0.5860 (-0.5906) time: 0.3590 data: 0.0003
[11-26 17:31:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:02:36 tlr: 0.00012 tnm: 0.43 Lm: 6.785 (6.804) Lt: 6.075 (6.095) Accm: 2.57 (2.59) Acct: 4.11 (4.10) proj_loss: -0.5884 (-0.5907) time: 0.3598 data: 0.0003
[11-26 17:31:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:02:36 tlr: 0.00012 tnm: 0.43 Lm: 6.817 (6.835) Lt: 6.124 (6.138) Accm: 2.53 (2.52) Acct: 3.95 (3.99) proj_loss: -0.5998 (-0.5952) time: 0.3598 data: 0.0002
[11-26 17:31:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:02:36 tlr: 0.00012 tnm: 0.43 Lm: 6.860 (6.868) Lt: 6.140 (6.169) Accm: 2.68 (2.62) Acct: 4.38 (4.18) proj_loss: -0.5839 (-0.5844) time: 0.3598 data: 0.0003
[11-26 17:31:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1251/1669] eta: 0:02:36 tlr: 0.00012 tnm: 0.43 Lm: 6.854 (6.867) Lt: 6.150 (6.160) Accm: 2.46 (2.47) Acct: 3.85 (3.89) proj_loss: -0.5883 (-0.5832) time: 0.3598 data: 0.0003
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.865 (6.891) Lt: 6.174 (6.182) Accm: 2.38 (2.43) Acct: 3.84 (3.85) proj_loss: -0.5878 (-0.5783) time: 0.3607 data: 0.0016
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:10:20 (0.372 s / it)
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.884 (6.898) Lt: 6.170 (6.210) Accm: 2.51 (2.51) Acct: 4.24 (3.98) proj_loss: -0.5851 (-0.5901) time: 0.3607 data: 0.0018
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.803 (6.825) Lt: 6.115 (6.124) Accm: 2.60 (2.61) Acct: 4.12 (4.13) proj_loss: -0.6018 (-0.5986) time: 0.3607 data: 0.0020
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 187/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.779 (6.783) Lt: 6.073 (6.072) Accm: 2.61 (2.67) Acct: 4.15 (4.20) proj_loss: -0.5908 (-0.5908) time: 0.3607 data: 0.0018
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:10:20 (0.372 s / it)
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:10:20 (0.372 s / it)
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 187/350] Total time: 0:10:20 (0.372 s / it)
[11-26 17:34:15] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.839 (6.839), Lt: 6.135 (6.135), Acc m&t: 2.57 4.05, Remain: 1 day, 3:16:16, Finish: 2024-11-27 04:50
[11-26 17:34:15] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.839 (6.839), Lt: 6.135 (6.135), Acc m&t: 2.57 4.05, Remain: 1 day, 3:16:08, Finish: 2024-11-27 04:50
[11-26 17:34:15] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.839 (6.839), Lt: 6.135 (6.135), Acc m&t: 2.57 4.05, Remain: 1 day, 3:16:31, Finish: 2024-11-27 04:50
[11-26 17:34:15] (/home/user/VAR/train.py , line 276)=> [ep187] (training ) Lm: 6.839 (6.839), Lt: 6.135 (6.135), Acc m&t: 2.57 4.05, Remain: 1 day, 3:16:12, Finish: 2024-11-27 04:50
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:09:51 tlr: 0.00012 tnm: 0.44 Lm: 6.862 (6.862) Lt: 6.117 (6.117) Accm: 2.57 (2.57) Acct: 4.05 (4.05) proj_loss: -0.5850 (-0.5850) time: 0.3547 data: 0.0003
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:09:46 tlr: 0.00012 tnm: 0.44 Lm: 6.815 (6.815) Lt: 6.109 (6.109) Accm: 2.64 (2.64) Acct: 4.05 (4.05) proj_loss: -0.5819 (-0.5819) time: 0.3512 data: 0.0004
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:09:53 tlr: 0.00012 tnm: 0.44 Lm: 6.871 (6.871) Lt: 6.200 (6.200) Accm: 2.45 (2.45) Acct: 3.94 (3.94) proj_loss: -0.5955 (-0.5955) time: 0.3558 data: 0.0004
[11-26 17:34:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 0/1669] eta: 0:09:53 tlr: 0.00012 tnm: 0.44 Lm: 6.840 (6.840) Lt: 6.111 (6.111) Accm: 2.61 (2.61) Acct: 3.99 (3.99) proj_loss: -0.5766 (-0.5766) time: 0.3559 data: 0.0003
[11-26 17:36:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.42 Lm: 6.873 (6.873) Lt: 6.152 (6.152) Accm: 2.45 (2.45) Acct: 3.74 (3.74) proj_loss: -0.5910 (-0.5910) time: 0.3610 data: 0.0003
[11-26 17:36:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.42 Lm: 6.874 (6.874) Lt: 6.177 (6.177) Accm: 2.39 (2.39) Acct: 3.59 (3.59) proj_loss: -0.5937 (-0.5937) time: 0.3610 data: 0.0003
[11-26 17:36:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.42 Lm: 6.816 (6.816) Lt: 6.124 (6.124) Accm: 2.70 (2.70) Acct: 4.40 (4.40) proj_loss: -0.5918 (-0.5918) time: 0.3610 data: 0.0003
[11-26 17:36:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.42 Lm: 6.813 (6.813) Lt: 6.100 (6.100) Accm: 2.73 (2.73) Acct: 4.24 (4.24) proj_loss: -0.5996 (-0.5996) time: 0.3610 data: 0.0003
[11-26 17:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.862 (6.848) Lt: 6.117 (6.132) Accm: 2.57 (2.67) Acct: 4.05 (4.17) proj_loss: -0.5960 (-0.5984) time: 0.3593 data: 0.0003
[11-26 17:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.854 (6.867) Lt: 6.161 (6.172) Accm: 2.64 (2.48) Acct: 4.05 (3.79) proj_loss: -0.5913 (-0.5929) time: 0.3593 data: 0.0003
[11-26 17:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.906 (6.904) Lt: 6.194 (6.195) Accm: 2.29 (2.36) Acct: 3.48 (3.65) proj_loss: -0.5874 (-0.5898) time: 0.3593 data: 0.0003
[11-26 17:39:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.871 (6.866) Lt: 6.200 (6.186) Accm: 2.45 (2.52) Acct: 3.94 (4.14) proj_loss: -0.5880 (-0.5852) time: 0.3593 data: 0.0003
[11-26 17:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.41 Lm: 6.870 (6.867) Lt: 6.184 (6.181) Accm: 2.31 (2.43) Acct: 3.79 (3.98) proj_loss: -0.5854 (-0.5846) time: 0.3592 data: 0.0003
[11-26 17:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.41 Lm: 6.835 (6.826) Lt: 6.135 (6.122) Accm: 2.66 (2.63) Acct: 4.12 (4.06) proj_loss: -0.5922 (-0.5930) time: 0.3592 data: 0.0003
[11-26 17:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.41 Lm: 6.891 (6.878) Lt: 6.155 (6.174) Accm: 2.55 (2.51) Acct: 4.04 (3.93) proj_loss: -0.5969 (-0.5983) time: 0.3592 data: 0.0003
[11-26 17:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.41 Lm: 6.883 (6.894) Lt: 6.164 (6.180) Accm: 2.44 (2.42) Acct: 3.74 (3.77) proj_loss: -0.5844 (-0.5877) time: 0.3591 data: 0.0003
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.861 (6.880) Lt: 6.159 (6.176) Accm: 2.59 (2.48) Acct: 3.99 (3.94) proj_loss: -0.5874 (-0.5882) time: 0.3634 data: 0.0017
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:10:02 (0.361 s / it)
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.854 (6.860) Lt: 6.161 (6.162) Accm: 2.64 (2.54) Acct: 4.05 (3.96) proj_loss: -0.5923 (-0.5928) time: 0.3634 data: 0.0019
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.862 (6.859) Lt: 6.117 (6.157) Accm: 2.56 (2.52) Acct: 4.03 (3.94) proj_loss: -0.5960 (-0.5942) time: 0.3634 data: 0.0014
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 188/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.869 (6.853) Lt: 6.168 (6.165) Accm: 2.45 (2.50) Acct: 3.94 (4.08) proj_loss: -0.5880 (-0.5866) time: 0.3634 data: 0.0018
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:10:02 (0.361 s / it)
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:10:02 (0.361 s / it)
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 188/350] Total time: 0:10:02 (0.361 s / it)
[11-26 17:44:18] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.839 (6.851), Lt: 6.135 (6.151), Acc m&t: 2.57 4.05, Remain: 1 day, 3:09:23, Finish: 2024-11-27 04:53
[11-26 17:44:18] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.839 (6.851), Lt: 6.135 (6.151), Acc m&t: 2.57 4.05, Remain: 1 day, 3:09:17, Finish: 2024-11-27 04:53
[11-26 17:44:18] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.839 (6.851), Lt: 6.135 (6.151), Acc m&t: 2.57 4.05, Remain: 1 day, 3:09:01, Finish: 2024-11-27 04:53
[11-26 17:44:18] (/home/user/VAR/train.py , line 276)=> [ep188] (training ) Lm: 6.839 (6.851), Lt: 6.135 (6.151), Acc m&t: 2.57 4.05, Remain: 1 day, 3:08:24, Finish: 2024-11-27 04:52
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:09:38 tlr: 0.00012 tnm: 0.42 Lm: 6.971 (6.971) Lt: 6.347 (6.347) Accm: 2.18 (2.18) Acct: 3.05 (3.05) proj_loss: -0.5821 (-0.5821) time: 0.3469 data: 0.0003
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:09:40 tlr: 0.00012 tnm: 0.42 Lm: 6.658 (6.658) Lt: 5.933 (5.933) Accm: 3.10 (3.10) Acct: 4.98 (4.98) proj_loss: -0.5934 (-0.5934) time: 0.3476 data: 0.0004
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:09:39 tlr: 0.00012 tnm: 0.42 Lm: 6.875 (6.875) Lt: 6.184 (6.184) Accm: 2.32 (2.32) Acct: 3.58 (3.58) proj_loss: -0.6129 (-0.6129) time: 0.3473 data: 0.0004
[11-26 17:44:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 0/1669] eta: 0:09:48 tlr: 0.00012 tnm: 0.42 Lm: 6.877 (6.877) Lt: 6.224 (6.224) Accm: 2.36 (2.36) Acct: 3.82 (3.82) proj_loss: -0.6009 (-0.6009) time: 0.3527 data: 0.0004
[11-26 17:46:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.42 Lm: 6.855 (6.855) Lt: 6.189 (6.189) Accm: 2.63 (2.63) Acct: 4.28 (4.28) proj_loss: -0.5962 (-0.5962) time: 0.3612 data: 0.0003
[11-26 17:46:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.42 Lm: 6.940 (6.940) Lt: 6.242 (6.242) Accm: 2.29 (2.29) Acct: 3.55 (3.55) proj_loss: -0.5963 (-0.5963) time: 0.3612 data: 0.0003
[11-26 17:46:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.42 Lm: 6.951 (6.951) Lt: 6.273 (6.273) Accm: 2.27 (2.27) Acct: 3.47 (3.47) proj_loss: -0.5956 (-0.5956) time: 0.3612 data: 0.0003
[11-26 17:46:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.42 Lm: 6.730 (6.730) Lt: 6.037 (6.037) Accm: 2.89 (2.89) Acct: 4.53 (4.53) proj_loss: -0.5955 (-0.5955) time: 0.3612 data: 0.0004
[11-26 17:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.802 (6.780) Lt: 6.141 (6.077) Accm: 2.68 (2.73) Acct: 4.08 (4.32) proj_loss: -0.5934 (-0.5878) time: 0.3619 data: 0.0003
[11-26 17:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.875 (6.915) Lt: 6.184 (6.207) Accm: 2.32 (2.42) Acct: 3.58 (3.77) proj_loss: -0.5998 (-0.5974) time: 0.3619 data: 0.0003
[11-26 17:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.877 (6.886) Lt: 6.224 (6.210) Accm: 2.48 (2.58) Acct: 3.82 (4.11) proj_loss: -0.5925 (-0.5950) time: 0.3619 data: 0.0003
[11-26 17:49:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.931 (6.896) Lt: 6.198 (6.207) Accm: 2.37 (2.40) Acct: 3.89 (3.74) proj_loss: -0.6091 (-0.6017) time: 0.3619 data: 0.0003
[11-26 17:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:02:33 tlr: 0.00012 tnm: 0.45 Lm: 6.951 (6.915) Lt: 6.239 (6.226) Accm: 2.27 (2.34) Acct: 3.72 (3.69) proj_loss: -0.6017 (-0.5999) time: 0.3575 data: 0.0002
[11-26 17:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:02:33 tlr: 0.00012 tnm: 0.45 Lm: 6.923 (6.929) Lt: 6.206 (6.212) Accm: 2.34 (2.41) Acct: 3.70 (3.78) proj_loss: -0.5959 (-0.5961) time: 0.3575 data: 0.0003
[11-26 17:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:02:33 tlr: 0.00012 tnm: 0.45 Lm: 6.841 (6.811) Lt: 6.149 (6.103) Accm: 2.59 (2.68) Acct: 3.99 (4.17) proj_loss: -0.5838 (-0.5844) time: 0.3575 data: 0.0003
[11-26 17:51:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1251/1669] eta: 0:02:33 tlr: 0.00012 tnm: 0.45 Lm: 6.913 (6.903) Lt: 6.235 (6.219) Accm: 2.44 (2.54) Acct: 3.80 (3.98) proj_loss: -0.5920 (-0.5904) time: 0.3575 data: 0.0003
[11-26 17:54:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.877 (6.878) Lt: 6.224 (6.199) Accm: 2.48 (2.58) Acct: 3.82 (4.00) proj_loss: -0.5925 (-0.5934) time: 0.3618 data: 0.0018
[11-26 17:54:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:10:18 (0.370 s / it)
[11-26 17:54:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.950 (6.933) Lt: 6.227 (6.220) Accm: 2.36 (2.44) Acct: 3.82 (3.85) proj_loss: -0.5920 (-0.5948) time: 0.3618 data: 0.0021
[11-26 17:54:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.879 (6.827) Lt: 6.157 (6.123) Accm: 2.57 (2.65) Acct: 4.01 (4.14) proj_loss: -0.5905 (-0.5856) time: 0.3618 data: 0.0015
[11-26 17:54:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 189/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.931 (6.913) Lt: 6.243 (6.229) Accm: 2.37 (2.35) Acct: 3.67 (3.69) proj_loss: -0.6091 (-0.6050) time: 0.3618 data: 0.0015
[11-26 17:54:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:10:18 (0.370 s / it)
[11-26 17:54:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:10:18 (0.370 s / it)
[11-26 17:54:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 189/350] Total time: 0:10:18 (0.370 s / it)
[11-26 17:56:51] (home/user/VAR/trainer.py, line 114)=> FID: 4.539777036106159
[11-26 17:56:52] (/home/user/VAR/train.py , line 259)=> [*] [ep189] (val 50000) Lm: 6.8421, Lt: 6.1403, Acc m&t: 2.57 4.03, Val cost: 135.33s
[11-26 17:56:52] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 17:57:05] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.140), Acc m&t: 2.57 4.05, Remain: 1 day, 3:01:57, Finish: 2024-11-27 04:56
[11-26 17:57:05] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.140), Acc m&t: 2.57 4.05, Remain: 1 day, 3:01:36, Finish: 2024-11-27 04:56
[11-26 17:57:05] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.140), Acc m&t: 2.57 4.05, Remain: 1 day, 3:01:55, Finish: 2024-11-27 04:56
[11-26 17:57:05] (/home/user/VAR/train.py , line 276)=> [ep189] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.140), Acc m&t: 2.57 4.05, Remain: 1 day, 3:01:34, Finish: 2024-11-27 04:56
[11-26 17:57:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:10:02 tlr: 0.00012 tnm: 0.46 Lm: 6.794 (6.794) Lt: 6.080 (6.080) Accm: 2.80 (2.80) Acct: 4.15 (4.15) proj_loss: -0.5915 (-0.5915) time: 0.3610 data: 0.0004
[11-26 17:57:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:10:01 tlr: 0.00012 tnm: 0.46 Lm: 6.794 (6.794) Lt: 6.094 (6.094) Accm: 2.58 (2.58) Acct: 3.98 (3.98) proj_loss: -0.6042 (-0.6042) time: 0.3607 data: 0.0004
[11-26 17:57:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:10:01 tlr: 0.00012 tnm: 0.46 Lm: 6.834 (6.834) Lt: 6.092 (6.092) Accm: 2.57 (2.57) Acct: 4.12 (4.12) proj_loss: -0.5773 (-0.5773) time: 0.3605 data: 0.0004
[11-26 17:57:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 0/1669] eta: 0:10:22 tlr: 0.00012 tnm: 0.46 Lm: 6.885 (6.885) Lt: 6.158 (6.158) Accm: 2.45 (2.45) Acct: 3.99 (3.99) proj_loss: -0.5915 (-0.5915) time: 0.3730 data: 0.0004
[11-26 17:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:07:55 tlr: 0.00012 tnm: 0.42 Lm: 6.904 (6.904) Lt: 6.177 (6.177) Accm: 2.41 (2.41) Acct: 4.04 (4.04) proj_loss: -0.5988 (-0.5988) time: 0.4085 data: 0.0004
[11-26 17:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:07:55 tlr: 0.00012 tnm: 0.42 Lm: 6.805 (6.805) Lt: 6.141 (6.141) Accm: 2.65 (2.65) Acct: 3.99 (3.99) proj_loss: -0.6038 (-0.6038) time: 0.4085 data: 0.0005
[11-26 17:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:07:55 tlr: 0.00012 tnm: 0.42 Lm: 6.788 (6.788) Lt: 6.051 (6.051) Accm: 2.84 (2.84) Acct: 4.46 (4.46) proj_loss: -0.5916 (-0.5916) time: 0.4085 data: 0.0003
[11-26 17:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 417/1669] eta: 0:07:55 tlr: 0.00012 tnm: 0.42 Lm: 6.837 (6.837) Lt: 6.124 (6.124) Accm: 2.48 (2.48) Acct: 3.91 (3.91) proj_loss: -0.5944 (-0.5944) time: 0.4085 data: 0.0003
[11-26 18:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:05:13 tlr: 0.00012 tnm: 0.44 Lm: 6.839 (6.870) Lt: 6.157 (6.163) Accm: 2.39 (2.35) Acct: 3.70 (3.74) proj_loss: -0.5801 (-0.5896) time: 0.3613 data: 0.0003
[11-26 18:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:05:13 tlr: 0.00012 tnm: 0.44 Lm: 6.794 (6.831) Lt: 6.080 (6.111) Accm: 2.80 (2.71) Acct: 4.15 (4.26) proj_loss: -0.5915 (-0.5899) time: 0.3613 data: 0.0003
[11-26 18:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:05:13 tlr: 0.00012 tnm: 0.44 Lm: 6.815 (6.839) Lt: 6.188 (6.178) Accm: 2.58 (2.48) Acct: 3.98 (3.81) proj_loss: -0.6035 (-0.6028) time: 0.3613 data: 0.0002
[11-26 18:02:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [ 834/1669] eta: 0:05:13 tlr: 0.00012 tnm: 0.44 Lm: 6.899 (6.903) Lt: 6.192 (6.182) Accm: 2.37 (2.36) Acct: 3.99 (3.95) proj_loss: -0.5928 (-0.5968) time: 0.3613 data: 0.0002
[11-26 18:04:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.44 Lm: 6.892 (6.892) Lt: 6.177 (6.177) Accm: 2.31 (2.32) Acct: 3.88 (3.83) proj_loss: -0.5921 (-0.5911) time: 0.3641 data: 0.0003
[11-26 18:04:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.44 Lm: 6.832 (6.841) Lt: 6.129 (6.128) Accm: 2.66 (2.66) Acct: 4.11 (4.21) proj_loss: -0.5916 (-0.5919) time: 0.3640 data: 0.0003
[11-26 18:04:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.44 Lm: 6.805 (6.822) Lt: 6.143 (6.158) Accm: 2.56 (2.49) Acct: 3.99 (3.87) proj_loss: -0.6038 (-0.6059) time: 0.3641 data: 0.0002
[11-26 18:04:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.44 Lm: 6.837 (6.859) Lt: 6.160 (6.163) Accm: 2.34 (2.34) Acct: 3.56 (3.65) proj_loss: -0.5931 (-0.5938) time: 0.3640 data: 0.0003
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.834 (6.836) Lt: 6.157 (6.137) Accm: 2.39 (2.41) Acct: 3.70 (3.74) proj_loss: -0.5949 (-0.5940) time: 0.3642 data: 0.0021
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:10:17 (0.370 s / it)
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.815 (6.821) Lt: 6.099 (6.145) Accm: 2.53 (2.47) Acct: 3.98 (3.85) proj_loss: -0.6035 (-0.6022) time: 0.3642 data: 0.0015
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.841 (6.841) Lt: 6.080 (6.115) Accm: 2.69 (2.67) Acct: 4.15 (4.26) proj_loss: -0.5915 (-0.5904) time: 0.3642 data: 0.0015
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 190/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.885 (6.876) Lt: 6.162 (6.159) Accm: 2.37 (2.36) Acct: 3.99 (3.92) proj_loss: -0.5915 (-0.5910) time: 0.3642 data: 0.0021
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:10:17 (0.370 s / it)
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:10:17 (0.370 s / it)
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 190/350] Total time: 0:10:17 (0.370 s / it)
[11-26 18:07:23] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.141), Acc m&t: 2.57 4.05, Remain: 1 day, 2:56:26, Finish: 2024-11-27 05:03
[11-26 18:07:23] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.141), Acc m&t: 2.57 4.05, Remain: 1 day, 2:56:07, Finish: 2024-11-27 05:03
[11-26 18:07:23] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.141), Acc m&t: 2.57 4.05, Remain: 1 day, 2:55:43, Finish: 2024-11-27 05:03
[11-26 18:07:23] (/home/user/VAR/train.py , line 276)=> [ep190] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.141), Acc m&t: 2.57 4.05, Remain: 1 day, 2:56:24, Finish: 2024-11-27 05:03
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:09:26 tlr: 0.00012 tnm: 0.41 Lm: 6.773 (6.773) Lt: 6.031 (6.031) Accm: 2.70 (2.70) Acct: 4.29 (4.29) proj_loss: -0.5929 (-0.5929) time: 0.3396 data: 0.0004
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:09:28 tlr: 0.00012 tnm: 0.41 Lm: 6.729 (6.729) Lt: 6.003 (6.003) Accm: 2.72 (2.72) Acct: 4.36 (4.36) proj_loss: -0.6024 (-0.6024) time: 0.3407 data: 0.0004
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:09:27 tlr: 0.00012 tnm: 0.41 Lm: 6.920 (6.920) Lt: 6.221 (6.221) Accm: 2.19 (2.19) Acct: 3.56 (3.56) proj_loss: -0.5920 (-0.5920) time: 0.3403 data: 0.0004
[11-26 18:07:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 0/1669] eta: 0:10:02 tlr: 0.00012 tnm: 0.41 Lm: 6.945 (6.945) Lt: 6.259 (6.259) Accm: 2.59 (2.59) Acct: 4.12 (4.12) proj_loss: -0.5919 (-0.5919) time: 0.3611 data: 0.0004
[11-26 18:09:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.43 Lm: 6.905 (6.905) Lt: 6.201 (6.201) Accm: 2.58 (2.58) Acct: 4.18 (4.18) proj_loss: -0.5953 (-0.5953) time: 0.3631 data: 0.0003
[11-26 18:09:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.43 Lm: 6.814 (6.814) Lt: 6.063 (6.063) Accm: 2.60 (2.60) Acct: 4.03 (4.03) proj_loss: -0.5869 (-0.5869) time: 0.3631 data: 0.0003
[11-26 18:09:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.43 Lm: 6.809 (6.809) Lt: 6.087 (6.087) Accm: 2.79 (2.79) Acct: 4.40 (4.40) proj_loss: -0.5937 (-0.5937) time: 0.3631 data: 0.0003
[11-26 18:09:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.43 Lm: 6.854 (6.854) Lt: 6.158 (6.158) Accm: 2.29 (2.29) Acct: 3.71 (3.71) proj_loss: -0.5891 (-0.5891) time: 0.3631 data: 0.0003
[11-26 18:12:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.42 Lm: 6.909 (6.872) Lt: 6.221 (6.180) Accm: 2.38 (2.36) Acct: 3.86 (3.86) proj_loss: -0.5861 (-0.5814) time: 0.3611 data: 0.0003
[11-26 18:12:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.42 Lm: 6.854 (6.860) Lt: 6.095 (6.146) Accm: 2.51 (2.43) Acct: 3.77 (3.82) proj_loss: -0.5809 (-0.5828) time: 0.3611 data: 0.0003
[11-26 18:12:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.42 Lm: 6.866 (6.821) Lt: 6.143 (6.109) Accm: 2.59 (2.66) Acct: 4.24 (4.37) proj_loss: -0.5986 (-0.5980) time: 0.3611 data: 0.0003
[11-26 18:12:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.42 Lm: 6.874 (6.831) Lt: 6.171 (6.120) Accm: 2.72 (2.71) Acct: 4.36 (4.18) proj_loss: -0.5851 (-0.5869) time: 0.3611 data: 0.0003
[11-26 18:14:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.44 Lm: 6.881 (6.860) Lt: 6.178 (6.153) Accm: 2.64 (2.55) Acct: 4.05 (3.93) proj_loss: -0.5894 (-0.5886) time: 0.3600 data: 0.0003
[11-26 18:14:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.44 Lm: 6.826 (6.845) Lt: 6.092 (6.132) Accm: 2.60 (2.50) Acct: 4.03 (3.99) proj_loss: -0.5810 (-0.5824) time: 0.3600 data: 0.0003
[11-26 18:14:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.44 Lm: 6.864 (6.832) Lt: 6.116 (6.104) Accm: 2.58 (2.61) Acct: 4.18 (4.29) proj_loss: -0.5953 (-0.5903) time: 0.3600 data: 0.0003
[11-26 18:14:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.44 Lm: 6.905 (6.879) Lt: 6.223 (6.196) Accm: 2.44 (2.43) Acct: 3.93 (3.90) proj_loss: -0.5872 (-0.5831) time: 0.3600 data: 0.0003
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.901 (6.843) Lt: 6.221 (6.158) Accm: 2.49 (2.54) Acct: 4.01 (4.03) proj_loss: -0.5882 (-0.5861) time: 0.3655 data: 0.0015
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:10:02 (0.361 s / it)
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.799 (6.813) Lt: 6.089 (6.089) Accm: 2.70 (2.56) Acct: 4.29 (4.06) proj_loss: -0.5811 (-0.5833) time: 0.3655 data: 0.0019
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.874 (6.840) Lt: 6.171 (6.135) Accm: 2.72 (2.58) Acct: 4.32 (4.01) proj_loss: -0.5918 (-0.5893) time: 0.3655 data: 0.0017
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 191/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.44 Lm: 6.866 (6.850) Lt: 6.143 (6.132) Accm: 2.56 (2.59) Acct: 4.12 (4.23) proj_loss: -0.5986 (-0.5926) time: 0.3655 data: 0.0019
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:10:02 (0.361 s / it)
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:10:02 (0.361 s / it)
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 191/350] Total time: 0:10:02 (0.361 s / it)
[11-26 18:17:25] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.142), Acc m&t: 2.57 4.05, Remain: 1 day, 2:56:37, Finish: 2024-11-27 05:14
[11-26 18:17:25] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.142), Acc m&t: 2.57 4.05, Remain: 1 day, 2:55:43, Finish: 2024-11-27 05:13
[11-26 18:17:25] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.142), Acc m&t: 2.57 4.05, Remain: 1 day, 2:55:29, Finish: 2024-11-27 05:12
[11-26 18:17:25] (/home/user/VAR/train.py , line 276)=> [ep191] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.142), Acc m&t: 2.57 4.05, Remain: 1 day, 2:53:32, Finish: 2024-11-27 05:10
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.41 Lm: 6.824 (6.824) Lt: 6.140 (6.140) Accm: 2.35 (2.35) Acct: 3.62 (3.62) proj_loss: -0.5928 (-0.5928) time: 0.3438 data: 0.0004
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.41 Lm: 6.935 (6.935) Lt: 6.276 (6.276) Accm: 2.27 (2.27) Acct: 3.46 (3.46) proj_loss: -0.6068 (-0.6068) time: 0.3439 data: 0.0004
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:09:34 tlr: 0.00012 tnm: 0.41 Lm: 6.876 (6.876) Lt: 6.225 (6.225) Accm: 2.35 (2.35) Acct: 3.70 (3.70) proj_loss: -0.5893 (-0.5893) time: 0.3441 data: 0.0005
[11-26 18:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 0/1669] eta: 0:09:33 tlr: 0.00012 tnm: 0.41 Lm: 6.789 (6.789) Lt: 6.122 (6.122) Accm: 2.75 (2.75) Acct: 4.22 (4.22) proj_loss: -0.6000 (-0.6000) time: 0.3436 data: 0.0004
[11-26 18:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.42 Lm: 6.776 (6.776) Lt: 6.102 (6.102) Accm: 2.74 (2.74) Acct: 4.20 (4.20) proj_loss: -0.5991 (-0.5991) time: 0.3597 data: 0.0003
[11-26 18:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.42 Lm: 6.835 (6.835) Lt: 6.177 (6.177) Accm: 2.50 (2.50) Acct: 3.77 (3.77) proj_loss: -0.5914 (-0.5914) time: 0.3598 data: 0.0003
[11-26 18:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.42 Lm: 6.788 (6.788) Lt: 6.086 (6.086) Accm: 2.45 (2.45) Acct: 3.97 (3.97) proj_loss: -0.5897 (-0.5897) time: 0.3598 data: 0.0003
[11-26 18:19:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.42 Lm: 6.894 (6.894) Lt: 6.228 (6.228) Accm: 2.39 (2.39) Acct: 3.71 (3.71) proj_loss: -0.5963 (-0.5963) time: 0.3597 data: 0.0003
[11-26 18:22:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.42 Lm: 6.876 (6.851) Lt: 6.225 (6.198) Accm: 2.43 (2.53) Acct: 3.72 (3.90) proj_loss: -0.5985 (-0.5971) time: 0.3965 data: 0.0004
[11-26 18:22:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.42 Lm: 6.801 (6.793) Lt: 6.082 (6.085) Accm: 2.53 (2.48) Acct: 3.93 (3.95) proj_loss: -0.5928 (-0.5927) time: 0.3965 data: 0.0003
[11-26 18:22:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.42 Lm: 6.789 (6.782) Lt: 6.115 (6.106) Accm: 2.73 (2.72) Acct: 4.22 (4.23) proj_loss: -0.6000 (-0.6052) time: 0.3965 data: 0.0003
[11-26 18:22:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [ 834/1669] eta: 0:05:04 tlr: 0.00012 tnm: 0.42 Lm: 6.850 (6.840) Lt: 6.191 (6.181) Accm: 2.41 (2.47) Acct: 3.77 (3.77) proj_loss: -0.5964 (-0.5931) time: 0.3965 data: 0.0003
[11-26 18:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.41 Lm: 6.813 (6.804) Lt: 6.098 (6.092) Accm: 2.55 (2.54) Acct: 4.12 (4.06) proj_loss: -0.5897 (-0.5876) time: 0.4061 data: 0.0003
[11-26 18:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.41 Lm: 6.872 (6.855) Lt: 6.195 (6.189) Accm: 2.41 (2.50) Acct: 3.71 (3.83) proj_loss: -0.5939 (-0.5937) time: 0.4061 data: 0.0003
[11-26 18:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.41 Lm: 6.776 (6.776) Lt: 6.098 (6.098) Accm: 2.73 (2.72) Acct: 4.20 (4.21) proj_loss: -0.5991 (-0.6003) time: 0.4061 data: 0.0003
[11-26 18:25:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.41 Lm: 6.859 (6.847) Lt: 6.174 (6.176) Accm: 2.43 (2.46) Acct: 3.93 (3.85) proj_loss: -0.5881 (-0.5898) time: 0.4062 data: 0.0003
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.850 (6.841) Lt: 6.158 (6.165) Accm: 2.44 (2.46) Acct: 3.93 (3.87) proj_loss: -0.5927 (-0.5904) time: 0.3635 data: 0.0016
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:10:21 (0.373 s / it)
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.824 (6.828) Lt: 6.115 (6.123) Accm: 2.53 (2.49) Acct: 3.93 (3.98) proj_loss: -0.5865 (-0.5855) time: 0.3635 data: 0.0018
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.763 (6.758) Lt: 6.081 (6.066) Accm: 2.73 (2.74) Acct: 4.22 (4.27) proj_loss: -0.5981 (-0.5964) time: 0.3635 data: 0.0018
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 192/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.43 Lm: 6.868 (6.851) Lt: 6.165 (6.178) Accm: 2.43 (2.49) Acct: 3.72 (3.85) proj_loss: -0.5975 (-0.5944) time: 0.3635 data: 0.0017
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:10:21 (0.373 s / it)
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:10:21 (0.373 s / it)
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 192/350] Total time: 0:10:21 (0.373 s / it)
[11-26 18:27:47] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.839 (6.849), Lt: 6.135 (6.154), Acc m&t: 2.57 4.05, Remain: 1 day, 2:29:33, Finish: 2024-11-27 04:57
[11-26 18:27:47] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.839 (6.849), Lt: 6.135 (6.154), Acc m&t: 2.57 4.05, Remain: 1 day, 2:29:36, Finish: 2024-11-27 04:57
[11-26 18:27:47] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.839 (6.849), Lt: 6.135 (6.154), Acc m&t: 2.57 4.05, Remain: 1 day, 2:29:48, Finish: 2024-11-27 04:57
[11-26 18:27:47] (/home/user/VAR/train.py , line 276)=> [ep192] (training ) Lm: 6.839 (6.849), Lt: 6.135 (6.154), Acc m&t: 2.57 4.05, Remain: 1 day, 2:29:45, Finish: 2024-11-27 04:57
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:09:28 tlr: 0.00012 tnm: 0.43 Lm: 6.957 (6.957) Lt: 6.271 (6.271) Accm: 2.32 (2.32) Acct: 3.75 (3.75) proj_loss: -0.5784 (-0.5784) time: 0.3407 data: 0.0004
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:09:28 tlr: 0.00012 tnm: 0.43 Lm: 6.687 (6.687) Lt: 5.944 (5.944) Accm: 2.48 (2.48) Acct: 3.94 (3.94) proj_loss: -0.5974 (-0.5974) time: 0.3408 data: 0.0004
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:09:28 tlr: 0.00012 tnm: 0.43 Lm: 6.964 (6.964) Lt: 6.321 (6.321) Accm: 2.21 (2.21) Acct: 3.24 (3.24) proj_loss: -0.5959 (-0.5959) time: 0.3409 data: 0.0004
[11-26 18:27:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 0/1669] eta: 0:09:29 tlr: 0.00012 tnm: 0.43 Lm: 6.988 (6.988) Lt: 6.269 (6.269) Accm: 2.32 (2.32) Acct: 3.68 (3.68) proj_loss: -0.5649 (-0.5649) time: 0.3410 data: 0.0003
[11-26 18:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:07:59 tlr: 0.00012 tnm: 0.41 Lm: 6.955 (6.955) Lt: 6.249 (6.249) Accm: 2.35 (2.35) Acct: 3.81 (3.81) proj_loss: -0.5816 (-0.5816) time: 0.4056 data: 0.0003
[11-26 18:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:07:59 tlr: 0.00012 tnm: 0.41 Lm: 6.753 (6.753) Lt: 6.031 (6.031) Accm: 2.49 (2.49) Acct: 4.00 (4.00) proj_loss: -0.5943 (-0.5943) time: 0.4056 data: 0.0002
[11-26 18:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:07:59 tlr: 0.00012 tnm: 0.41 Lm: 6.852 (6.852) Lt: 6.163 (6.163) Accm: 2.59 (2.59) Acct: 4.12 (4.12) proj_loss: -0.5931 (-0.5931) time: 0.4056 data: 0.0002
[11-26 18:30:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 417/1669] eta: 0:07:59 tlr: 0.00012 tnm: 0.41 Lm: 6.894 (6.894) Lt: 6.231 (6.231) Accm: 2.44 (2.44) Acct: 3.57 (3.57) proj_loss: -0.5991 (-0.5991) time: 0.4056 data: 0.0002
[11-26 18:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:05:14 tlr: 0.00012 tnm: 0.40 Lm: 6.935 (6.908) Lt: 6.265 (6.242) Accm: 2.24 (2.37) Acct: 3.62 (3.59) proj_loss: -0.5959 (-0.5958) time: 0.3634 data: 0.0003
[11-26 18:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:05:14 tlr: 0.00012 tnm: 0.40 Lm: 6.820 (6.816) Lt: 6.119 (6.107) Accm: 2.48 (2.44) Acct: 3.94 (3.78) proj_loss: -0.5912 (-0.5868) time: 0.3634 data: 0.0003
[11-26 18:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:05:14 tlr: 0.00012 tnm: 0.40 Lm: 6.988 (6.985) Lt: 6.269 (6.298) Accm: 2.32 (2.31) Acct: 3.68 (3.73) proj_loss: -0.5983 (-0.5941) time: 0.3634 data: 0.0003
[11-26 18:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [ 834/1669] eta: 0:05:14 tlr: 0.00012 tnm: 0.40 Lm: 6.868 (6.857) Lt: 6.215 (6.180) Accm: 2.67 (2.62) Acct: 4.22 (4.15) proj_loss: -0.6078 (-0.6017) time: 0.3634 data: 0.0002
[11-26 18:35:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.43 Lm: 6.807 (6.822) Lt: 6.135 (6.140) Accm: 2.76 (2.68) Acct: 4.31 (4.21) proj_loss: -0.6044 (-0.6015) time: 0.3595 data: 0.0003
[11-26 18:35:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.43 Lm: 6.955 (6.926) Lt: 6.249 (6.230) Accm: 2.35 (2.43) Acct: 3.81 (3.90) proj_loss: -0.5918 (-0.5919) time: 0.3595 data: 0.0003
[11-26 18:35:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.43 Lm: 6.795 (6.804) Lt: 6.106 (6.103) Accm: 2.49 (2.54) Acct: 4.00 (3.99) proj_loss: -0.5943 (-0.5949) time: 0.3595 data: 0.0003
[11-26 18:35:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1251/1669] eta: 0:02:35 tlr: 0.00012 tnm: 0.43 Lm: 6.879 (6.863) Lt: 6.203 (6.181) Accm: 2.45 (2.49) Acct: 3.76 (3.81) proj_loss: -0.5926 (-0.5927) time: 0.3595 data: 0.0003
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.906 (6.871) Lt: 6.236 (6.192) Accm: 2.65 (2.52) Acct: 3.91 (3.93) proj_loss: -0.5924 (-0.5926) time: 0.3612 data: 0.0016
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:10:15 (0.369 s / it)
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.820 (6.819) Lt: 6.119 (6.117) Accm: 2.48 (2.50) Acct: 3.94 (3.92) proj_loss: -0.5917 (-0.5943) time: 0.3612 data: 0.0019
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.922 (6.926) Lt: 6.229 (6.224) Accm: 2.32 (2.38) Acct: 3.68 (3.83) proj_loss: -0.5928 (-0.5921) time: 0.3612 data: 0.0020
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 193/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.40 Lm: 6.868 (6.840) Lt: 6.215 (6.159) Accm: 2.67 (2.64) Acct: 4.22 (4.17) proj_loss: -0.6056 (-0.6023) time: 0.3612 data: 0.0013
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:10:15 (0.369 s / it)
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:10:15 (0.369 s / it)
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 193/350] Total time: 0:10:15 (0.369 s / it)
[11-26 18:38:03] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.144), Acc m&t: 2.57 4.05, Remain: 1 day, 2:10:26, Finish: 2024-11-27 04:48
[11-26 18:38:03] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.144), Acc m&t: 2.57 4.05, Remain: 1 day, 2:09:31, Finish: 2024-11-27 04:47
[11-26 18:38:03] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.144), Acc m&t: 2.57 4.05, Remain: 1 day, 2:09:58, Finish: 2024-11-27 04:48
[11-26 18:38:03] (/home/user/VAR/train.py , line 276)=> [ep193] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.144), Acc m&t: 2.57 4.05, Remain: 1 day, 2:10:30, Finish: 2024-11-27 04:48
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:09:47 tlr: 0.00012 tnm: 0.44 Lm: 6.741 (6.741) Lt: 6.027 (6.027) Accm: 2.70 (2.70) Acct: 4.06 (4.06) proj_loss: -0.6125 (-0.6125) time: 0.3520 data: 0.0004
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:09:46 tlr: 0.00012 tnm: 0.44 Lm: 6.893 (6.893) Lt: 6.214 (6.214) Accm: 2.63 (2.63) Acct: 4.32 (4.32) proj_loss: -0.6023 (-0.6023) time: 0.3517 data: 0.0003
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:09:50 tlr: 0.00012 tnm: 0.44 Lm: 6.749 (6.749) Lt: 6.055 (6.055) Accm: 3.09 (3.09) Acct: 4.48 (4.48) proj_loss: -0.5933 (-0.5933) time: 0.3539 data: 0.0004
[11-26 18:38:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 0/1669] eta: 0:09:56 tlr: 0.00012 tnm: 0.44 Lm: 6.857 (6.857) Lt: 6.086 (6.086) Accm: 2.70 (2.70) Acct: 4.56 (4.56) proj_loss: -0.6048 (-0.6048) time: 0.3572 data: 0.0004
[11-26 18:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.42 Lm: 6.931 (6.931) Lt: 6.198 (6.198) Accm: 2.39 (2.39) Acct: 3.99 (3.99) proj_loss: -0.5866 (-0.5866) time: 0.3615 data: 0.0003
[11-26 18:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.42 Lm: 6.826 (6.826) Lt: 6.101 (6.101) Accm: 2.60 (2.60) Acct: 4.18 (4.18) proj_loss: -0.5915 (-0.5915) time: 0.3615 data: 0.0002
[11-26 18:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.42 Lm: 6.826 (6.826) Lt: 6.151 (6.151) Accm: 2.79 (2.79) Acct: 4.17 (4.17) proj_loss: -0.5949 (-0.5949) time: 0.3615 data: 0.0003
[11-26 18:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 417/1669] eta: 0:07:31 tlr: 0.00012 tnm: 0.42 Lm: 6.844 (6.844) Lt: 6.130 (6.130) Accm: 2.40 (2.40) Acct: 3.67 (3.67) proj_loss: -0.6002 (-0.6002) time: 0.3615 data: 0.0003
[11-26 18:43:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.914 (6.868) Lt: 6.227 (6.162) Accm: 2.37 (2.39) Acct: 3.75 (3.70) proj_loss: -0.5879 (-0.5961) time: 0.3609 data: 0.0003
[11-26 18:43:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.760 (6.787) Lt: 5.987 (6.061) Accm: 2.63 (2.66) Acct: 4.13 (4.16) proj_loss: -0.5807 (-0.5864) time: 0.3609 data: 0.0002
[11-26 18:43:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.902 (6.860) Lt: 6.223 (6.175) Accm: 2.49 (2.62) Acct: 3.86 (3.95) proj_loss: -0.5933 (-0.5899) time: 0.3609 data: 0.0003
[11-26 18:43:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [ 834/1669] eta: 0:05:01 tlr: 0.00012 tnm: 0.41 Lm: 6.857 (6.895) Lt: 6.106 (6.168) Accm: 2.70 (2.51) Acct: 4.41 (4.13) proj_loss: -0.5736 (-0.5822) time: 0.3609 data: 0.0003
[11-26 18:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.43 Lm: 6.852 (6.883) Lt: 6.123 (6.161) Accm: 2.55 (2.48) Acct: 4.12 (4.05) proj_loss: -0.5833 (-0.5849) time: 0.3597 data: 0.0003
[11-26 18:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.43 Lm: 6.826 (6.819) Lt: 6.090 (6.094) Accm: 2.60 (2.59) Acct: 4.08 (4.06) proj_loss: -0.5808 (-0.5850) time: 0.3597 data: 0.0003
[11-26 18:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.43 Lm: 6.828 (6.836) Lt: 6.134 (6.132) Accm: 2.49 (2.45) Acct: 3.82 (3.74) proj_loss: -0.5879 (-0.5923) time: 0.3597 data: 0.0003
[11-26 18:45:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1251/1669] eta: 0:02:30 tlr: 0.00012 tnm: 0.43 Lm: 6.916 (6.888) Lt: 6.234 (6.202) Accm: 2.39 (2.53) Acct: 3.78 (3.89) proj_loss: -0.5875 (-0.5878) time: 0.3597 data: 0.0003
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.930 (6.899) Lt: 6.246 (6.220) Accm: 2.29 (2.48) Acct: 3.70 (3.74) proj_loss: -0.5866 (-0.5876) time: 0.3640 data: 0.0019
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:10:02 (0.361 s / it)
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.840 (6.823) Lt: 6.182 (6.111) Accm: 2.58 (2.57) Acct: 4.03 (3.92) proj_loss: -0.5808 (-0.5875) time: 0.3640 data: 0.0018
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.857 (6.886) Lt: 6.140 (6.173) Accm: 2.40 (2.45) Acct: 3.82 (4.00) proj_loss: -0.5736 (-0.5821) time: 0.3640 data: 0.0014
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 194/350] [1668/1669] eta: 0:00:00 tlr: 0.00012 tnm: 0.41 Lm: 6.818 (6.832) Lt: 6.088 (6.123) Accm: 2.51 (2.46) Acct: 3.87 (3.77) proj_loss: -0.5879 (-0.5920) time: 0.3640 data: 0.0019
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:10:02 (0.361 s / it)
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:10:02 (0.361 s / it)
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 194/350] Total time: 0:10:02 (0.361 s / it)
[11-26 18:48:06] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.839 (6.855), Lt: 6.135 (6.155), Acc m&t: 2.57 4.05, Remain: 1 day, 2:18:26, Finish: 2024-11-27 05:06
[11-26 18:48:06] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.839 (6.855), Lt: 6.135 (6.155), Acc m&t: 2.57 4.05, Remain: 1 day, 2:18:05, Finish: 2024-11-27 05:06
[11-26 18:48:06] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.839 (6.855), Lt: 6.135 (6.155), Acc m&t: 2.57 4.05, Remain: 1 day, 2:19:25, Finish: 2024-11-27 05:07
[11-26 18:48:06] (/home/user/VAR/train.py , line 276)=> [ep194] (training ) Lm: 6.839 (6.855), Lt: 6.135 (6.155), Acc m&t: 2.57 4.05, Remain: 1 day, 2:18:49, Finish: 2024-11-27 05:06
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:10:08 tlr: 0.00012 tnm: 0.42 Lm: 6.792 (6.792) Lt: 6.073 (6.073) Accm: 2.65 (2.65) Acct: 4.37 (4.37) proj_loss: -0.5806 (-0.5806) time: 0.3644 data: 0.0003
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:10:09 tlr: 0.00012 tnm: 0.42 Lm: 6.825 (6.825) Lt: 6.122 (6.122) Accm: 2.55 (2.55) Acct: 4.20 (4.20) proj_loss: -0.5740 (-0.5740) time: 0.3653 data: 0.0003
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:10:09 tlr: 0.00012 tnm: 0.42 Lm: 6.972 (6.972) Lt: 6.305 (6.305) Accm: 2.32 (2.32) Acct: 3.53 (3.53) proj_loss: -0.6201 (-0.6201) time: 0.3650 data: 0.0004
[11-26 18:48:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 0/1669] eta: 0:10:08 tlr: 0.00012 tnm: 0.42 Lm: 6.919 (6.919) Lt: 6.250 (6.250) Accm: 2.37 (2.37) Acct: 3.63 (3.63) proj_loss: -0.5947 (-0.5947) time: 0.3646 data: 0.0003
[11-26 18:50:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.784 (6.784) Lt: 6.082 (6.082) Accm: 2.67 (2.67) Acct: 4.28 (4.28) proj_loss: -0.5839 (-0.5839) time: 0.3622 data: 0.0002
[11-26 18:50:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.806 (6.806) Lt: 6.092 (6.092) Accm: 2.66 (2.66) Acct: 4.15 (4.15) proj_loss: -0.6137 (-0.6137) time: 0.3622 data: 0.0003
[11-26 18:50:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.820 (6.820) Lt: 6.102 (6.102) Accm: 2.59 (2.59) Acct: 4.13 (4.13) proj_loss: -0.5840 (-0.5840) time: 0.3622 data: 0.0003
[11-26 18:50:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 417/1669] eta: 0:07:32 tlr: 0.00012 tnm: 0.41 Lm: 6.903 (6.903) Lt: 6.250 (6.250) Accm: 2.44 (2.44) Acct: 3.71 (3.71) proj_loss: -0.5999 (-0.5999) time: 0.3623 data: 0.0002
[11-26 18:53:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:05:08 tlr: 0.00012 tnm: 0.42 Lm: 6.897 (6.901) Lt: 6.251 (6.251) Accm: 2.37 (2.35) Acct: 3.63 (3.58) proj_loss: -0.5947 (-0.5953) time: 0.3587 data: 0.0003
[11-26 18:53:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:05:09 tlr: 0.00012 tnm: 0.42 Lm: 6.779 (6.783) Lt: 6.073 (6.066) Accm: 2.68 (2.67) Acct: 4.18 (4.18) proj_loss: -0.5839 (-0.5839) time: 0.3587 data: 0.0003
[11-26 18:53:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:05:09 tlr: 0.00012 tnm: 0.42 Lm: 6.825 (6.860) Lt: 6.122 (6.147) Accm: 2.55 (2.50) Acct: 4.06 (3.91) proj_loss: -0.5740 (-0.5763) time: 0.3587 data: 0.0003
[11-26 18:53:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [ 834/1669] eta: 0:05:09 tlr: 0.00012 tnm: 0.42 Lm: 6.810 (6.807) Lt: 6.119 (6.101) Accm: 2.74 (2.69) Acct: 4.37 (4.22) proj_loss: -0.6073 (-0.6069) time: 0.3587 data: 0.0003
[11-26 18:55:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:02:36 tlr: 0.00011 tnm: 0.43 Lm: 6.885 (6.846) Lt: 6.195 (6.144) Accm: 2.53 (2.56) Acct: 3.95 (4.02) proj_loss: -0.6004 (-0.6035) time: 0.3597 data: 0.0003
[11-26 18:55:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:02:36 tlr: 0.00011 tnm: 0.43 Lm: 6.781 (6.783) Lt: 6.070 (6.066) Accm: 2.67 (2.67) Acct: 4.28 (4.27) proj_loss: -0.5855 (-0.5931) time: 0.3597 data: 0.0003
[11-26 18:55:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:02:36 tlr: 0.00011 tnm: 0.43 Lm: 6.892 (6.820) Lt: 6.250 (6.152) Accm: 2.44 (2.52) Acct: 3.71 (3.81) proj_loss: -0.5904 (-0.5909) time: 0.3597 data: 0.0003
[11-26 18:55:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1251/1669] eta: 0:02:36 tlr: 0.00011 tnm: 0.43 Lm: 6.820 (6.802) Lt: 6.102 (6.084) Accm: 2.59 (2.67) Acct: 4.13 (4.15) proj_loss: -0.5840 (-0.5849) time: 0.3597 data: 0.0003
[11-26 18:58:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.824 (6.807) Lt: 6.104 (6.088) Accm: 2.55 (2.65) Acct: 4.06 (4.11) proj_loss: -0.5740 (-0.5818) time: 0.3652 data: 0.0018
[11-26 18:58:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:10:24 (0.374 s / it)
[11-26 18:58:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.783 (6.790) Lt: 6.073 (6.075) Accm: 2.68 (2.68) Acct: 4.18 (4.25) proj_loss: -0.5839 (-0.5905) time: 0.3652 data: 0.0016
[11-26 18:58:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.810 (6.838) Lt: 6.119 (6.122) Accm: 2.74 (2.62) Acct: 4.37 (4.13) proj_loss: -0.5934 (-0.6010) time: 0.3652 data: 0.0019
[11-26 18:58:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 195/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.887 (6.817) Lt: 6.250 (6.142) Accm: 2.43 (2.50) Acct: 3.79 (3.82) proj_loss: -0.5860 (-0.5889) time: 0.3652 data: 0.0015
[11-26 18:58:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:10:24 (0.374 s / it)
[11-26 18:58:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:10:24 (0.374 s / it)
[11-26 18:58:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 195/350] Total time: 0:10:24 (0.374 s / it)
[11-26 18:58:30] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.839 (6.839), Lt: 6.135 (6.137), Acc m&t: 2.57 4.05, Remain: 1 day, 2:04:12, Finish: 2024-11-27 05:02
[11-26 18:58:30] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.839 (6.839), Lt: 6.135 (6.137), Acc m&t: 2.57 4.05, Remain: 1 day, 2:06:35, Finish: 2024-11-27 05:05
[11-26 18:58:30] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.839 (6.839), Lt: 6.135 (6.137), Acc m&t: 2.57 4.05, Remain: 1 day, 2:04:16, Finish: 2024-11-27 05:02
[11-26 18:58:30] (/home/user/VAR/train.py , line 276)=> [ep195] (training ) Lm: 6.839 (6.839), Lt: 6.135 (6.137), Acc m&t: 2.57 4.05, Remain: 1 day, 2:03:43, Finish: 2024-11-27 05:02
[11-26 18:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:10:03 tlr: 0.00011 tnm: 0.42 Lm: 6.840 (6.840) Lt: 6.143 (6.143) Accm: 2.64 (2.64) Acct: 4.05 (4.05) proj_loss: -0.5898 (-0.5898) time: 0.3617 data: 0.0003
[11-26 18:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:10:02 tlr: 0.00011 tnm: 0.42 Lm: 6.860 (6.860) Lt: 6.160 (6.160) Accm: 2.40 (2.40) Acct: 3.99 (3.99) proj_loss: -0.5985 (-0.5985) time: 0.3613 data: 0.0004
[11-26 18:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:10:05 tlr: 0.00011 tnm: 0.42 Lm: 6.847 (6.847) Lt: 6.135 (6.135) Accm: 2.50 (2.50) Acct: 3.84 (3.84) proj_loss: -0.5641 (-0.5641) time: 0.3625 data: 0.0004
[11-26 18:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 0/1669] eta: 0:10:04 tlr: 0.00011 tnm: 0.42 Lm: 6.896 (6.896) Lt: 6.163 (6.163) Accm: 2.37 (2.37) Acct: 3.79 (3.79) proj_loss: -0.5872 (-0.5872) time: 0.3625 data: 0.0003
[11-26 19:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:07:50 tlr: 0.00011 tnm: 0.43 Lm: 6.858 (6.858) Lt: 6.155 (6.155) Accm: 2.40 (2.40) Acct: 3.76 (3.76) proj_loss: -0.5977 (-0.5977) time: 0.3606 data: 0.0003
[11-26 19:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:07:50 tlr: 0.00011 tnm: 0.43 Lm: 6.790 (6.790) Lt: 6.080 (6.080) Accm: 2.81 (2.81) Acct: 4.44 (4.44) proj_loss: -0.5964 (-0.5964) time: 0.3606 data: 0.0002
[11-26 19:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:07:50 tlr: 0.00011 tnm: 0.43 Lm: 6.910 (6.910) Lt: 6.213 (6.213) Accm: 2.34 (2.34) Acct: 3.65 (3.65) proj_loss: -0.5734 (-0.5734) time: 0.3606 data: 0.0003
[11-26 19:01:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 417/1669] eta: 0:07:50 tlr: 0.00011 tnm: 0.43 Lm: 6.864 (6.864) Lt: 6.176 (6.176) Accm: 2.48 (2.48) Acct: 3.97 (3.97) proj_loss: -0.5893 (-0.5893) time: 0.3606 data: 0.0003
[11-26 19:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:05:10 tlr: 0.00011 tnm: 0.43 Lm: 6.867 (6.868) Lt: 6.160 (6.169) Accm: 2.41 (2.46) Acct: 3.98 (3.97) proj_loss: -0.5800 (-0.5861) time: 0.3609 data: 0.0003
[11-26 19:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:05:10 tlr: 0.00011 tnm: 0.43 Lm: 6.740 (6.760) Lt: 6.018 (6.036) Accm: 2.92 (2.85) Acct: 4.73 (4.54) proj_loss: -0.5997 (-0.5975) time: 0.3609 data: 0.0002
[11-26 19:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:05:10 tlr: 0.00011 tnm: 0.43 Lm: 6.822 (6.846) Lt: 6.147 (6.120) Accm: 2.43 (2.52) Acct: 3.79 (4.01) proj_loss: -0.5872 (-0.5899) time: 0.3609 data: 0.0003
[11-26 19:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [ 834/1669] eta: 0:05:10 tlr: 0.00011 tnm: 0.43 Lm: 6.876 (6.899) Lt: 6.158 (6.195) Accm: 2.41 (2.36) Acct: 3.84 (3.78) proj_loss: -0.5826 (-0.5782) time: 0.3609 data: 0.0003
[11-26 19:06:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:02:34 tlr: 0.00011 tnm: 0.44 Lm: 6.862 (6.872) Lt: 6.147 (6.164) Accm: 2.45 (2.46) Acct: 3.93 (3.87) proj_loss: -0.5852 (-0.5806) time: 0.3596 data: 0.0003
[11-26 19:06:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:02:34 tlr: 0.00011 tnm: 0.44 Lm: 6.790 (6.792) Lt: 6.080 (6.103) Accm: 2.78 (2.74) Acct: 4.39 (4.31) proj_loss: -0.5982 (-0.5973) time: 0.3596 data: 0.0002
[11-26 19:06:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:02:34 tlr: 0.00011 tnm: 0.44 Lm: 6.864 (6.847) Lt: 6.158 (6.148) Accm: 2.46 (2.47) Acct: 3.99 (4.01) proj_loss: -0.5798 (-0.5838) time: 0.3596 data: 0.0003
[11-26 19:06:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1251/1669] eta: 0:02:34 tlr: 0.00011 tnm: 0.44 Lm: 6.859 (6.871) Lt: 6.155 (6.144) Accm: 2.45 (2.50) Acct: 3.86 (3.99) proj_loss: -0.5807 (-0.5841) time: 0.3596 data: 0.0003
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.822 (6.841) Lt: 6.147 (6.117) Accm: 2.47 (2.61) Acct: 3.93 (4.12) proj_loss: -0.5872 (-0.5851) time: 0.3647 data: 0.0018
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:10:12 (0.367 s / it)
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.740 (6.773) Lt: 6.018 (6.076) Accm: 2.79 (2.75) Acct: 4.05 (4.25) proj_loss: -0.5989 (-0.5976) time: 0.3647 data: 0.0016
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.847 (6.853) Lt: 6.135 (6.152) Accm: 2.50 (2.53) Acct: 4.03 (3.91) proj_loss: -0.5878 (-0.5845) time: 0.3647 data: 0.0018
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 196/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.860 (6.820) Lt: 6.156 (6.121) Accm: 2.51 (2.60) Acct: 3.99 (4.20) proj_loss: -0.5800 (-0.5857) time: 0.3647 data: 0.0015
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:10:12 (0.367 s / it)
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:10:12 (0.367 s / it)
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 196/350] Total time: 0:10:12 (0.367 s / it)
[11-26 19:08:43] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.839 (6.845), Lt: 6.135 (6.145), Acc m&t: 2.57 4.05, Remain: 1 day, 1:54:44, Finish: 2024-11-27 05:03
[11-26 19:08:43] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.839 (6.845), Lt: 6.135 (6.145), Acc m&t: 2.57 4.05, Remain: 1 day, 1:54:17, Finish: 2024-11-27 05:03
[11-26 19:08:43] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.839 (6.845), Lt: 6.135 (6.145), Acc m&t: 2.57 4.05, Remain: 1 day, 1:53:07, Finish: 2024-11-27 05:01
[11-26 19:08:43] (/home/user/VAR/train.py , line 276)=> [ep196] (training ) Lm: 6.839 (6.845), Lt: 6.135 (6.145), Acc m&t: 2.57 4.05, Remain: 1 day, 1:55:02, Finish: 2024-11-27 05:03
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:09:30 tlr: 0.00011 tnm: 0.43 Lm: 6.932 (6.932) Lt: 6.202 (6.202) Accm: 2.27 (2.27) Acct: 3.67 (3.67) proj_loss: -0.5678 (-0.5678) time: 0.3418 data: 0.0004
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:09:39 tlr: 0.00011 tnm: 0.43 Lm: 6.777 (6.777) Lt: 6.017 (6.017) Accm: 2.51 (2.51) Acct: 3.82 (3.82) proj_loss: -0.5872 (-0.5872) time: 0.3475 data: 0.0003
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:09:41 tlr: 0.00011 tnm: 0.43 Lm: 6.768 (6.768) Lt: 5.990 (5.990) Accm: 2.57 (2.57) Acct: 4.30 (4.30) proj_loss: -0.5780 (-0.5780) time: 0.3483 data: 0.0003
[11-26 19:08:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 0/1669] eta: 0:09:31 tlr: 0.00011 tnm: 0.43 Lm: 6.751 (6.751) Lt: 6.023 (6.023) Accm: 2.73 (2.73) Acct: 4.48 (4.48) proj_loss: -0.5660 (-0.5660) time: 0.3426 data: 0.0004
[11-26 19:11:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.43 Lm: 6.873 (6.873) Lt: 6.200 (6.200) Accm: 2.47 (2.47) Acct: 3.85 (3.85) proj_loss: -0.5758 (-0.5758) time: 0.3643 data: 0.0003
[11-26 19:11:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.43 Lm: 6.863 (6.863) Lt: 6.188 (6.188) Accm: 2.47 (2.47) Acct: 3.80 (3.80) proj_loss: -0.5953 (-0.5953) time: 0.3643 data: 0.0002
[11-26 19:11:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.43 Lm: 6.836 (6.836) Lt: 6.118 (6.118) Accm: 2.54 (2.54) Acct: 4.10 (4.10) proj_loss: -0.5774 (-0.5774) time: 0.3643 data: 0.0003
[11-26 19:11:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.43 Lm: 6.864 (6.864) Lt: 6.128 (6.128) Accm: 2.44 (2.44) Acct: 3.81 (3.81) proj_loss: -0.5689 (-0.5689) time: 0.3643 data: 0.0003
[11-26 19:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.42 Lm: 6.831 (6.834) Lt: 6.108 (6.115) Accm: 2.51 (2.50) Acct: 3.89 (3.98) proj_loss: -0.5780 (-0.5855) time: 0.3603 data: 0.0003
[11-26 19:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.42 Lm: 6.909 (6.878) Lt: 6.208 (6.194) Accm: 2.43 (2.39) Acct: 3.77 (3.71) proj_loss: -0.5872 (-0.5915) time: 0.3603 data: 0.0003
[11-26 19:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.42 Lm: 6.975 (6.907) Lt: 6.285 (6.228) Accm: 2.21 (2.34) Acct: 3.34 (3.68) proj_loss: -0.5852 (-0.5789) time: 0.3603 data: 0.0003
[11-26 19:13:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.42 Lm: 6.857 (6.861) Lt: 6.118 (6.125) Accm: 2.56 (2.48) Acct: 3.94 (3.88) proj_loss: -0.5700 (-0.5731) time: 0.3603 data: 0.0003
[11-26 19:16:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.42 Lm: 6.894 (6.887) Lt: 6.160 (6.161) Accm: 2.41 (2.42) Acct: 3.81 (3.81) proj_loss: -0.5689 (-0.5714) time: 0.3623 data: 0.0003
[11-26 19:16:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.42 Lm: 6.916 (6.890) Lt: 6.235 (6.211) Accm: 2.38 (2.38) Acct: 3.67 (3.67) proj_loss: -0.5887 (-0.5912) time: 0.3623 data: 0.0003
[11-26 19:16:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.42 Lm: 6.939 (6.906) Lt: 6.219 (6.210) Accm: 2.26 (2.33) Acct: 3.45 (3.65) proj_loss: -0.5804 (-0.5781) time: 0.3623 data: 0.0003
[11-26 19:16:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.42 Lm: 6.855 (6.845) Lt: 6.145 (6.131) Accm: 2.47 (2.48) Acct: 3.97 (3.99) proj_loss: -0.5892 (-0.5892) time: 0.3623 data: 0.0003
[11-26 19:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.868 (6.850) Lt: 6.182 (6.143) Accm: 2.43 (2.47) Acct: 3.94 (3.98) proj_loss: -0.5805 (-0.5875) time: 0.3632 data: 0.0018
[11-26 19:18:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:10:03 (0.361 s / it)
[11-26 19:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.909 (6.892) Lt: 6.208 (6.210) Accm: 2.34 (2.36) Acct: 3.67 (3.67) proj_loss: -0.5903 (-0.5936) time: 0.3632 data: 0.0017
[11-26 19:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.904 (6.890) Lt: 6.154 (6.181) Accm: 2.31 (2.38) Acct: 3.56 (3.78) proj_loss: -0.5852 (-0.5837) time: 0.3633 data: 0.0015
[11-26 19:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 197/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.857 (6.875) Lt: 6.138 (6.157) Accm: 2.43 (2.42) Acct: 3.72 (3.79) proj_loss: -0.5700 (-0.5755) time: 0.3632 data: 0.0014
[11-26 19:18:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:10:03 (0.361 s / it)
[11-26 19:18:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:10:03 (0.361 s / it)
[11-26 19:18:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 197/350] Total time: 0:10:03 (0.361 s / it)
[11-26 19:18:46] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.145), Acc m&t: 2.57 4.05, Remain: 1 day, 1:40:37, Finish: 2024-11-27 04:59
[11-26 19:18:46] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.145), Acc m&t: 2.57 4.05, Remain: 1 day, 1:39:46, Finish: 2024-11-27 04:58
[11-26 19:18:46] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.145), Acc m&t: 2.57 4.05, Remain: 1 day, 1:40:30, Finish: 2024-11-27 04:59
[11-26 19:18:46] (/home/user/VAR/train.py , line 276)=> [ep197] (training ) Lm: 6.839 (6.844), Lt: 6.135 (6.145), Acc m&t: 2.57 4.05, Remain: 1 day, 1:42:45, Finish: 2024-11-27 05:01
[11-26 19:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:10:53 tlr: 0.00011 tnm: 0.43 Lm: 6.872 (6.872) Lt: 6.150 (6.150) Accm: 2.74 (2.74) Acct: 4.51 (4.51) proj_loss: -0.5786 (-0.5786) time: 0.3915 data: 0.0003
[11-26 19:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:09:24 tlr: 0.00011 tnm: 0.43 Lm: 6.754 (6.754) Lt: 6.064 (6.064) Accm: 2.80 (2.80) Acct: 4.27 (4.27) proj_loss: -0.5814 (-0.5814) time: 0.3385 data: 0.0004
[11-26 19:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:10:53 tlr: 0.00011 tnm: 0.43 Lm: 6.771 (6.771) Lt: 6.045 (6.045) Accm: 2.76 (2.76) Acct: 4.42 (4.42) proj_loss: -0.6013 (-0.6013) time: 0.3918 data: 0.0004
[11-26 19:18:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 0/1669] eta: 0:09:28 tlr: 0.00011 tnm: 0.43 Lm: 6.829 (6.829) Lt: 6.125 (6.125) Accm: 2.64 (2.64) Acct: 4.25 (4.25) proj_loss: -0.5999 (-0.5999) time: 0.3404 data: 0.0004
[11-26 19:21:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:07:43 tlr: 0.00011 tnm: 0.43 Lm: 6.854 (6.854) Lt: 6.166 (6.166) Accm: 2.62 (2.62) Acct: 4.06 (4.06) proj_loss: -0.5945 (-0.5945) time: 0.3980 data: 0.0003
[11-26 19:21:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:07:43 tlr: 0.00011 tnm: 0.43 Lm: 6.771 (6.771) Lt: 6.074 (6.074) Accm: 2.73 (2.73) Acct: 4.30 (4.30) proj_loss: -0.5917 (-0.5917) time: 0.3980 data: 0.0003
[11-26 19:21:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:07:43 tlr: 0.00011 tnm: 0.43 Lm: 6.838 (6.838) Lt: 6.125 (6.125) Accm: 2.62 (2.62) Acct: 4.24 (4.24) proj_loss: -0.5922 (-0.5922) time: 0.3980 data: 0.0003
[11-26 19:21:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 417/1669] eta: 0:07:43 tlr: 0.00011 tnm: 0.43 Lm: 6.835 (6.835) Lt: 6.120 (6.120) Accm: 2.55 (2.55) Acct: 4.15 (4.15) proj_loss: -0.5997 (-0.5997) time: 0.3980 data: 0.0003
[11-26 19:24:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:05:13 tlr: 0.00011 tnm: 0.42 Lm: 6.771 (6.796) Lt: 6.045 (6.093) Accm: 2.73 (2.61) Acct: 4.18 (4.16) proj_loss: -0.6013 (-0.6050) time: 0.4429 data: 0.0003
[11-26 19:24:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:05:13 tlr: 0.00011 tnm: 0.42 Lm: 6.788 (6.796) Lt: 6.084 (6.096) Accm: 2.66 (2.67) Acct: 4.27 (4.22) proj_loss: -0.5814 (-0.5882) time: 0.4429 data: 0.0003
[11-26 19:24:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:05:13 tlr: 0.00011 tnm: 0.42 Lm: 6.803 (6.807) Lt: 6.099 (6.108) Accm: 2.72 (2.65) Acct: 4.30 (4.26) proj_loss: -0.5917 (-0.5920) time: 0.4429 data: 0.0003
[11-26 19:24:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [ 834/1669] eta: 0:05:13 tlr: 0.00011 tnm: 0.42 Lm: 6.848 (6.852) Lt: 6.155 (6.163) Accm: 2.59 (2.54) Acct: 3.87 (3.98) proj_loss: -0.5956 (-0.5949) time: 0.4429 data: 0.0003
[11-26 19:26:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.42 Lm: 6.864 (6.882) Lt: 6.181 (6.190) Accm: 2.49 (2.49) Acct: 3.89 (3.96) proj_loss: -0.5924 (-0.5921) time: 0.4084 data: 0.0003
[11-26 19:26:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.42 Lm: 6.803 (6.801) Lt: 6.105 (6.103) Accm: 2.60 (2.61) Acct: 4.18 (4.15) proj_loss: -0.5855 (-0.5885) time: 0.4084 data: 0.0002
[11-26 19:26:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.42 Lm: 6.838 (6.836) Lt: 6.125 (6.138) Accm: 2.61 (2.56) Acct: 4.14 (4.14) proj_loss: -0.5930 (-0.5926) time: 0.4084 data: 0.0002
[11-26 19:26:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.42 Lm: 6.761 (6.785) Lt: 6.042 (6.073) Accm: 2.74 (2.64) Acct: 4.30 (4.22) proj_loss: -0.6036 (-0.6053) time: 0.4084 data: 0.0003
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.771 (6.786) Lt: 6.045 (6.085) Accm: 2.75 (2.67) Acct: 4.30 (4.24) proj_loss: -0.6060 (-0.6076) time: 0.3609 data: 0.0019
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:10:27 (0.376 s / it)
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.848 (6.871) Lt: 6.155 (6.167) Accm: 2.57 (2.51) Acct: 3.91 (4.02) proj_loss: -0.5891 (-0.5870) time: 0.3609 data: 0.0019
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.817 (6.816) Lt: 6.125 (6.115) Accm: 2.56 (2.60) Acct: 4.08 (4.12) proj_loss: -0.5896 (-0.5906) time: 0.3609 data: 0.0019
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 198/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.820 (6.833) Lt: 6.099 (6.130) Accm: 2.72 (2.61) Acct: 4.24 (4.16) proj_loss: -0.5944 (-0.5941) time: 0.3609 data: 0.0018
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:10:27 (0.376 s / it)
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:10:27 (0.376 s / it)
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 198/350] Total time: 0:10:27 (0.376 s / it)
[11-26 19:29:14] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.839 (6.841), Lt: 6.135 (6.138), Acc m&t: 2.57 4.05, Remain: 1 day, 1:23:30, Finish: 2024-11-27 04:52
[11-26 19:29:14] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.839 (6.841), Lt: 6.135 (6.138), Acc m&t: 2.57 4.05, Remain: 1 day, 1:23:29, Finish: 2024-11-27 04:52
[11-26 19:29:14] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.839 (6.841), Lt: 6.135 (6.138), Acc m&t: 2.57 4.05, Remain: 1 day, 1:22:46, Finish: 2024-11-27 04:52
[11-26 19:29:14] (/home/user/VAR/train.py , line 276)=> [ep198] (training ) Lm: 6.839 (6.841), Lt: 6.135 (6.138), Acc m&t: 2.57 4.05, Remain: 1 day, 1:22:35, Finish: 2024-11-27 04:51
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:10:20 tlr: 0.00011 tnm: 0.43 Lm: 6.657 (6.657) Lt: 5.940 (5.940) Accm: 2.97 (2.97) Acct: 4.55 (4.55) proj_loss: -0.6003 (-0.6003) time: 0.3716 data: 0.0004
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:10:20 tlr: 0.00011 tnm: 0.43 Lm: 6.787 (6.787) Lt: 6.071 (6.071) Accm: 2.70 (2.70) Acct: 4.22 (4.22) proj_loss: -0.5827 (-0.5827) time: 0.3717 data: 0.0004
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:10:19 tlr: 0.00011 tnm: 0.43 Lm: 6.863 (6.863) Lt: 6.179 (6.179) Accm: 2.43 (2.43) Acct: 3.70 (3.70) proj_loss: -0.5810 (-0.5810) time: 0.3712 data: 0.0003
[11-26 19:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 0/1669] eta: 0:10:22 tlr: 0.00011 tnm: 0.43 Lm: 6.575 (6.575) Lt: 5.857 (5.857) Accm: 3.22 (3.22) Acct: 4.80 (4.80) proj_loss: -0.5778 (-0.5778) time: 0.3727 data: 0.0004
[11-26 19:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:07:48 tlr: 0.00011 tnm: 0.44 Lm: 6.749 (6.749) Lt: 6.051 (6.051) Accm: 2.66 (2.66) Acct: 4.12 (4.12) proj_loss: -0.5723 (-0.5723) time: 0.4053 data: 0.0003
[11-26 19:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:07:48 tlr: 0.00011 tnm: 0.44 Lm: 6.795 (6.795) Lt: 6.080 (6.080) Accm: 2.60 (2.60) Acct: 4.05 (4.05) proj_loss: -0.5840 (-0.5840) time: 0.4053 data: 0.0003
[11-26 19:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:07:48 tlr: 0.00011 tnm: 0.44 Lm: 6.770 (6.770) Lt: 6.045 (6.045) Accm: 2.67 (2.67) Acct: 4.11 (4.11) proj_loss: -0.5969 (-0.5969) time: 0.4053 data: 0.0004
[11-26 19:31:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 417/1669] eta: 0:07:48 tlr: 0.00011 tnm: 0.44 Lm: 6.885 (6.885) Lt: 6.193 (6.193) Accm: 2.41 (2.41) Acct: 3.62 (3.62) proj_loss: -0.5793 (-0.5793) time: 0.4053 data: 0.0002
[11-26 19:34:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:05:07 tlr: 0.00011 tnm: 0.43 Lm: 6.907 (6.911) Lt: 6.208 (6.219) Accm: 2.40 (2.34) Acct: 3.53 (3.59) proj_loss: -0.5810 (-0.5805) time: 0.3588 data: 0.0003
[11-26 19:34:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:05:07 tlr: 0.00011 tnm: 0.43 Lm: 6.802 (6.833) Lt: 6.088 (6.131) Accm: 2.58 (2.59) Acct: 3.87 (3.96) proj_loss: -0.5853 (-0.5886) time: 0.3587 data: 0.0003
[11-26 19:34:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:05:07 tlr: 0.00011 tnm: 0.43 Lm: 6.848 (6.796) Lt: 6.137 (6.076) Accm: 2.55 (2.63) Acct: 3.81 (4.01) proj_loss: -0.5934 (-0.5946) time: 0.3587 data: 0.0003
[11-26 19:34:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [ 834/1669] eta: 0:05:07 tlr: 0.00011 tnm: 0.43 Lm: 6.774 (6.757) Lt: 6.025 (6.043) Accm: 2.60 (2.64) Acct: 4.41 (4.22) proj_loss: -0.5778 (-0.5811) time: 0.3587 data: 0.0003
[11-26 19:36:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.41 Lm: 6.829 (6.789) Lt: 6.127 (6.089) Accm: 2.63 (2.64) Acct: 4.27 (4.20) proj_loss: -0.5799 (-0.5813) time: 0.3625 data: 0.0003
[11-26 19:36:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.41 Lm: 6.855 (6.864) Lt: 6.161 (6.167) Accm: 2.53 (2.48) Acct: 3.83 (3.81) proj_loss: -0.5915 (-0.5966) time: 0.3625 data: 0.0002
[11-26 19:36:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.41 Lm: 6.862 (6.816) Lt: 6.143 (6.094) Accm: 2.52 (2.60) Acct: 3.89 (4.00) proj_loss: -0.5917 (-0.5907) time: 0.3625 data: 0.0003
[11-26 19:36:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1251/1669] eta: 0:02:32 tlr: 0.00011 tnm: 0.41 Lm: 6.885 (6.871) Lt: 6.193 (6.173) Accm: 2.41 (2.47) Acct: 3.62 (3.74) proj_loss: -0.5820 (-0.5832) time: 0.3625 data: 0.0002
[11-26 19:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.863 (6.854) Lt: 6.179 (6.143) Accm: 2.43 (2.49) Acct: 3.70 (3.82) proj_loss: -0.5810 (-0.5799) time: 0.3640 data: 0.0019
[11-26 19:39:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:10:09 (0.365 s / it)
[11-26 19:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.841 (6.799) Lt: 6.189 (6.109) Accm: 2.60 (2.60) Acct: 4.15 (4.19) proj_loss: -0.5819 (-0.5890) time: 0.3640 data: 0.0020
[11-26 19:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.848 (6.816) Lt: 6.137 (6.096) Accm: 2.55 (2.61) Acct: 3.98 (4.07) proj_loss: -0.5899 (-0.5857) time: 0.3640 data: 0.0017
[11-26 19:39:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 199/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.802 (6.838) Lt: 6.088 (6.140) Accm: 2.58 (2.55) Acct: 3.87 (3.96) proj_loss: -0.5881 (-0.5949) time: 0.3640 data: 0.0016
[11-26 19:39:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:10:09 (0.365 s / it)
[11-26 19:39:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:10:09 (0.365 s / it)
[11-26 19:39:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 199/350] Total time: 0:10:09 (0.365 s / it)
[11-26 19:41:37] (home/user/VAR/trainer.py, line 114)=> FID: 4.520004199209723
[11-26 19:41:38] (/home/user/VAR/train.py , line 259)=> [*] [ep199] (val 50000) Lm: 6.8401, Lt: 6.1395, Acc m&t: 2.56 4.01, Val cost: 134.24s
[11-26 19:41:38] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 19:41:54] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.839 (6.840), Lt: 6.135 (6.139), Acc m&t: 2.57 4.05, Remain: 1 day, 1:20:13, Finish: 2024-11-27 04:59
[11-26 19:41:54] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.839 (6.840), Lt: 6.135 (6.139), Acc m&t: 2.57 4.05, Remain: 1 day, 1:20:02, Finish: 2024-11-27 04:59
[11-26 19:41:54] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.839 (6.840), Lt: 6.135 (6.139), Acc m&t: 2.57 4.05, Remain: 1 day, 1:20:07, Finish: 2024-11-27 04:59
[11-26 19:41:54] (/home/user/VAR/train.py , line 276)=> [ep199] (training ) Lm: 6.839 (6.840), Lt: 6.135 (6.139), Acc m&t: 2.57 4.05, Remain: 1 day, 1:20:34, Finish: 2024-11-27 04:59
[11-26 19:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:09:44 tlr: 0.00011 tnm: 0.44 Lm: 6.857 (6.857) Lt: 6.162 (6.162) Accm: 2.76 (2.76) Acct: 4.36 (4.36) proj_loss: -0.6011 (-0.6011) time: 0.3504 data: 0.0004
[11-26 19:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:09:45 tlr: 0.00011 tnm: 0.44 Lm: 6.813 (6.813) Lt: 6.073 (6.073) Accm: 2.75 (2.75) Acct: 4.32 (4.32) proj_loss: -0.5885 (-0.5885) time: 0.3507 data: 0.0004
[11-26 19:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:10:19 tlr: 0.00011 tnm: 0.44 Lm: 6.766 (6.766) Lt: 6.002 (6.002) Accm: 2.74 (2.74) Acct: 4.44 (4.44) proj_loss: -0.5899 (-0.5899) time: 0.3711 data: 0.0004
[11-26 19:41:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 0/1669] eta: 0:10:01 tlr: 0.00011 tnm: 0.44 Lm: 6.929 (6.929) Lt: 6.274 (6.274) Accm: 2.24 (2.24) Acct: 3.32 (3.32) proj_loss: -0.5917 (-0.5917) time: 0.3602 data: 0.0004
[11-26 19:44:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:07:31 tlr: 0.00011 tnm: 0.45 Lm: 6.846 (6.846) Lt: 6.188 (6.188) Accm: 2.58 (2.58) Acct: 3.85 (3.85) proj_loss: -0.6023 (-0.6023) time: 0.3591 data: 0.0002
[11-26 19:44:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:07:31 tlr: 0.00011 tnm: 0.45 Lm: 6.911 (6.911) Lt: 6.200 (6.200) Accm: 2.41 (2.41) Acct: 3.74 (3.74) proj_loss: -0.5807 (-0.5807) time: 0.3591 data: 0.0003
[11-26 19:44:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:07:31 tlr: 0.00011 tnm: 0.45 Lm: 6.850 (6.850) Lt: 6.121 (6.121) Accm: 2.60 (2.60) Acct: 4.11 (4.11) proj_loss: -0.5936 (-0.5936) time: 0.3591 data: 0.0003
[11-26 19:44:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 417/1669] eta: 0:07:31 tlr: 0.00011 tnm: 0.45 Lm: 6.864 (6.864) Lt: 6.149 (6.149) Accm: 2.59 (2.59) Acct: 4.11 (4.11) proj_loss: -0.5916 (-0.5916) time: 0.3591 data: 0.0003
[11-26 19:46:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:05:01 tlr: 0.00011 tnm: 0.43 Lm: 6.871 (6.891) Lt: 6.162 (6.176) Accm: 2.47 (2.55) Acct: 4.12 (4.11) proj_loss: -0.5905 (-0.5912) time: 0.3587 data: 0.0003
[11-26 19:46:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:05:01 tlr: 0.00011 tnm: 0.43 Lm: 6.855 (6.892) Lt: 6.190 (6.197) Accm: 2.38 (2.40) Acct: 3.67 (3.71) proj_loss: -0.5885 (-0.5890) time: 0.3587 data: 0.0003
[11-26 19:46:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:05:01 tlr: 0.00011 tnm: 0.43 Lm: 6.908 (6.869) Lt: 6.240 (6.163) Accm: 2.54 (2.58) Acct: 4.13 (4.12) proj_loss: -0.5933 (-0.5935) time: 0.3587 data: 0.0003
[11-26 19:46:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [ 834/1669] eta: 0:05:01 tlr: 0.00011 tnm: 0.43 Lm: 6.800 (6.831) Lt: 6.102 (6.148) Accm: 2.75 (2.63) Acct: 4.37 (4.07) proj_loss: -0.5951 (-0.5999) time: 0.3587 data: 0.0003
[11-26 19:49:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:02:30 tlr: 0.00011 tnm: 0.44 Lm: 6.781 (6.776) Lt: 6.085 (6.076) Accm: 2.83 (2.76) Acct: 4.44 (4.37) proj_loss: -0.5953 (-0.5988) time: 0.3608 data: 0.0003
[11-26 19:49:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:02:30 tlr: 0.00011 tnm: 0.44 Lm: 6.864 (6.870) Lt: 6.149 (6.162) Accm: 2.62 (2.61) Acct: 4.13 (4.12) proj_loss: -0.5958 (-0.5963) time: 0.3608 data: 0.0003
[11-26 19:49:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:02:30 tlr: 0.00011 tnm: 0.44 Lm: 6.909 (6.879) Lt: 6.243 (6.194) Accm: 2.51 (2.52) Acct: 3.95 (3.98) proj_loss: -0.5916 (-0.5912) time: 0.3608 data: 0.0002
[11-26 19:49:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1251/1669] eta: 0:02:30 tlr: 0.00011 tnm: 0.44 Lm: 6.834 (6.868) Lt: 6.134 (6.167) Accm: 2.45 (2.43) Acct: 3.91 (3.82) proj_loss: -0.5879 (-0.5886) time: 0.3608 data: 0.0003
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.813 (6.853) Lt: 6.080 (6.150) Accm: 2.52 (2.47) Acct: 4.15 (3.89) proj_loss: -0.5874 (-0.5843) time: 0.3652 data: 0.0016
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:10:02 (0.361 s / it)
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.908 (6.850) Lt: 6.240 (6.154) Accm: 2.54 (2.60) Acct: 4.13 (4.09) proj_loss: -0.5899 (-0.5880) time: 0.3652 data: 0.0020
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.793 (6.779) Lt: 6.101 (6.081) Accm: 2.75 (2.69) Acct: 4.37 (4.32) proj_loss: -0.5955 (-0.5991) time: 0.3652 data: 0.0021
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 200/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.871 (6.874) Lt: 6.162 (6.166) Accm: 2.71 (2.63) Acct: 4.15 (4.13) proj_loss: -0.5918 (-0.5954) time: 0.3652 data: 0.0016
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:10:02 (0.361 s / it)
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:10:02 (0.361 s / it)
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 200/350] Total time: 0:10:02 (0.361 s / it)
[11-26 19:51:56] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.839 (6.846), Lt: 6.135 (6.143), Acc m&t: 2.57 4.05, Remain: 1 day, 1:12:20, Finish: 2024-11-27 05:04
[11-26 19:51:56] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.839 (6.846), Lt: 6.135 (6.143), Acc m&t: 2.57 4.05, Remain: 1 day, 1:12:34, Finish: 2024-11-27 05:04
[11-26 19:51:56] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.839 (6.846), Lt: 6.135 (6.143), Acc m&t: 2.57 4.05, Remain: 1 day, 1:11:13, Finish: 2024-11-27 05:03
[11-26 19:51:56] (/home/user/VAR/train.py , line 276)=> [ep200] (training ) Lm: 6.839 (6.846), Lt: 6.135 (6.143), Acc m&t: 2.57 4.05, Remain: 1 day, 1:12:53, Finish: 2024-11-27 05:04
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:09:28 tlr: 0.00011 tnm: 0.42 Lm: 6.886 (6.886) Lt: 6.203 (6.203) Accm: 2.68 (2.68) Acct: 4.46 (4.46) proj_loss: -0.6083 (-0.6083) time: 0.3406 data: 0.0003
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:10:11 tlr: 0.00011 tnm: 0.42 Lm: 6.865 (6.865) Lt: 6.202 (6.202) Accm: 2.45 (2.45) Acct: 3.98 (3.98) proj_loss: -0.5839 (-0.5839) time: 0.3663 data: 0.0004
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:09:29 tlr: 0.00011 tnm: 0.42 Lm: 6.908 (6.908) Lt: 6.211 (6.211) Accm: 2.37 (2.37) Acct: 3.68 (3.68) proj_loss: -0.5785 (-0.5785) time: 0.3413 data: 0.0004
[11-26 19:51:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 0/1669] eta: 0:09:30 tlr: 0.00011 tnm: 0.42 Lm: 6.821 (6.821) Lt: 6.144 (6.144) Accm: 2.53 (2.53) Acct: 3.84 (3.84) proj_loss: -0.5825 (-0.5825) time: 0.3418 data: 0.0004
[11-26 19:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:07:53 tlr: 0.00011 tnm: 0.46 Lm: 6.769 (6.769) Lt: 6.055 (6.055) Accm: 2.70 (2.70) Acct: 4.16 (4.16) proj_loss: -0.5885 (-0.5885) time: 0.3628 data: 0.0003
[11-26 19:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:07:53 tlr: 0.00011 tnm: 0.46 Lm: 6.886 (6.886) Lt: 6.170 (6.170) Accm: 2.53 (2.53) Acct: 4.26 (4.26) proj_loss: -0.5984 (-0.5984) time: 0.3628 data: 0.0003
[11-26 19:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:07:53 tlr: 0.00011 tnm: 0.46 Lm: 6.928 (6.928) Lt: 6.223 (6.223) Accm: 2.29 (2.29) Acct: 3.49 (3.49) proj_loss: -0.5829 (-0.5829) time: 0.3628 data: 0.0003
[11-26 19:54:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 417/1669] eta: 0:07:53 tlr: 0.00011 tnm: 0.46 Lm: 6.814 (6.814) Lt: 6.153 (6.153) Accm: 2.68 (2.68) Acct: 4.23 (4.23) proj_loss: -0.5814 (-0.5814) time: 0.3628 data: 0.0003
[11-26 19:57:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:05:17 tlr: 0.00011 tnm: 0.43 Lm: 6.827 (6.818) Lt: 6.105 (6.121) Accm: 2.75 (2.70) Acct: 4.48 (4.40) proj_loss: -0.5839 (-0.5833) time: 0.3602 data: 0.0003
[11-26 19:57:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:05:17 tlr: 0.00011 tnm: 0.43 Lm: 6.886 (6.851) Lt: 6.137 (6.106) Accm: 2.68 (2.59) Acct: 4.46 (4.36) proj_loss: -0.6048 (-0.6005) time: 0.3602 data: 0.0003
[11-26 19:57:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:05:17 tlr: 0.00011 tnm: 0.43 Lm: 6.821 (6.790) Lt: 6.144 (6.087) Accm: 2.57 (2.66) Acct: 3.89 (4.07) proj_loss: -0.5945 (-0.5985) time: 0.3602 data: 0.0003
[11-26 19:57:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [ 834/1669] eta: 0:05:17 tlr: 0.00011 tnm: 0.43 Lm: 6.945 (6.933) Lt: 6.236 (6.235) Accm: 2.33 (2.31) Acct: 3.68 (3.58) proj_loss: -0.5873 (-0.5847) time: 0.3602 data: 0.0003
[11-26 19:59:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.43 Lm: 6.882 (6.858) Lt: 6.155 (6.123) Accm: 2.56 (2.55) Acct: 4.26 (4.27) proj_loss: -0.5972 (-0.5978) time: 0.3613 data: 0.0002
[11-26 19:59:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.43 Lm: 6.826 (6.817) Lt: 6.147 (6.118) Accm: 2.55 (2.62) Acct: 3.96 (4.06) proj_loss: -0.6009 (-0.6007) time: 0.3613 data: 0.0003
[11-26 19:59:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.43 Lm: 6.795 (6.781) Lt: 6.080 (6.082) Accm: 2.83 (2.78) Acct: 4.44 (4.40) proj_loss: -0.5855 (-0.5869) time: 0.3613 data: 0.0002
[11-26 19:59:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1251/1669] eta: 0:02:38 tlr: 0.00011 tnm: 0.43 Lm: 6.926 (6.900) Lt: 6.223 (6.212) Accm: 2.35 (2.40) Acct: 3.72 (3.74) proj_loss: -0.5878 (-0.5889) time: 0.3613 data: 0.0002
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.908 (6.890) Lt: 6.211 (6.203) Accm: 2.37 (2.48) Acct: 3.75 (3.89) proj_loss: -0.5883 (-0.5910) time: 0.3628 data: 0.0017
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:10:30 (0.378 s / it)
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.832 (6.824) Lt: 6.144 (6.120) Accm: 2.53 (2.57) Acct: 3.89 (4.02) proj_loss: -0.5945 (-0.5994) time: 0.3628 data: 0.0018
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.877 (6.832) Lt: 6.137 (6.100) Accm: 2.68 (2.65) Acct: 4.46 (4.37) proj_loss: -0.5896 (-0.5954) time: 0.3628 data: 0.0020
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 201/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.827 (6.805) Lt: 6.105 (6.102) Accm: 2.75 (2.68) Acct: 4.41 (4.29) proj_loss: -0.5870 (-0.5875) time: 0.3629 data: 0.0020
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:10:30 (0.378 s / it)
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:10:30 (0.378 s / it)
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 201/350] Total time: 0:10:30 (0.378 s / it)
[11-26 20:02:27] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.839 (6.843), Lt: 6.135 (6.136), Acc m&t: 2.57 4.05, Remain: 1 day, 0:58:54, Finish: 2024-11-27 05:01
[11-26 20:02:27] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.839 (6.843), Lt: 6.135 (6.136), Acc m&t: 2.57 4.05, Remain: 1 day, 0:58:53, Finish: 2024-11-27 05:01
[11-26 20:02:27] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.839 (6.843), Lt: 6.135 (6.136), Acc m&t: 2.57 4.05, Remain: 1 day, 0:58:24, Finish: 2024-11-27 05:00
[11-26 20:02:27] (/home/user/VAR/train.py , line 276)=> [ep201] (training ) Lm: 6.839 (6.843), Lt: 6.135 (6.136), Acc m&t: 2.57 4.05, Remain: 1 day, 0:58:13, Finish: 2024-11-27 05:00
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:09:52 tlr: 0.00011 tnm: 0.42 Lm: 6.862 (6.862) Lt: 6.145 (6.145) Accm: 2.41 (2.41) Acct: 3.86 (3.86) proj_loss: -0.5923 (-0.5923) time: 0.3548 data: 0.0003
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:09:51 tlr: 0.00011 tnm: 0.42 Lm: 6.832 (6.832) Lt: 6.140 (6.140) Accm: 2.48 (2.48) Acct: 3.98 (3.98) proj_loss: -0.5803 (-0.5803) time: 0.3542 data: 0.0004
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:09:49 tlr: 0.00011 tnm: 0.42 Lm: 6.896 (6.896) Lt: 6.193 (6.193) Accm: 2.40 (2.40) Acct: 3.86 (3.86) proj_loss: -0.5898 (-0.5898) time: 0.3533 data: 0.0003
[11-26 20:02:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 0/1669] eta: 0:09:51 tlr: 0.00011 tnm: 0.42 Lm: 6.851 (6.851) Lt: 6.127 (6.127) Accm: 2.43 (2.43) Acct: 4.06 (4.06) proj_loss: -0.5893 (-0.5893) time: 0.3545 data: 0.0004
[11-26 20:05:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:07:39 tlr: 0.00011 tnm: 0.44 Lm: 6.791 (6.791) Lt: 6.083 (6.083) Accm: 2.63 (2.63) Acct: 4.12 (4.12) proj_loss: -0.5890 (-0.5890) time: 0.3615 data: 0.0003
[11-26 20:05:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:07:39 tlr: 0.00011 tnm: 0.44 Lm: 6.871 (6.871) Lt: 6.198 (6.198) Accm: 2.50 (2.50) Acct: 3.93 (3.93) proj_loss: -0.5922 (-0.5922) time: 0.3615 data: 0.0003
[11-26 20:05:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:07:39 tlr: 0.00011 tnm: 0.44 Lm: 6.890 (6.890) Lt: 6.193 (6.193) Accm: 2.35 (2.35) Acct: 3.72 (3.72) proj_loss: -0.5894 (-0.5894) time: 0.3615 data: 0.0003
[11-26 20:05:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 417/1669] eta: 0:07:39 tlr: 0.00011 tnm: 0.44 Lm: 6.865 (6.865) Lt: 6.181 (6.181) Accm: 2.47 (2.47) Acct: 3.85 (3.85) proj_loss: -0.5982 (-0.5982) time: 0.3615 data: 0.0003
[11-26 20:07:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.862 (6.831) Lt: 6.145 (6.128) Accm: 2.53 (2.55) Acct: 3.86 (3.94) proj_loss: -0.5923 (-0.5957) time: 0.3595 data: 0.0003
[11-26 20:07:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.862 (6.868) Lt: 6.177 (6.191) Accm: 2.51 (2.50) Acct: 3.91 (3.92) proj_loss: -0.6037 (-0.5960) time: 0.3595 data: 0.0002
[11-26 20:07:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.851 (6.830) Lt: 6.127 (6.124) Accm: 2.64 (2.63) Acct: 4.18 (4.22) proj_loss: -0.5893 (-0.5932) time: 0.3595 data: 0.0003
[11-26 20:07:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.884 (6.872) Lt: 6.193 (6.168) Accm: 2.40 (2.41) Acct: 3.84 (3.76) proj_loss: -0.5891 (-0.5873) time: 0.3595 data: 0.0003
[11-26 20:10:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.860 (6.839) Lt: 6.155 (6.121) Accm: 2.46 (2.52) Acct: 3.85 (3.99) proj_loss: -0.5894 (-0.5898) time: 0.3614 data: 0.0003
[11-26 20:10:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.847 (6.834) Lt: 6.158 (6.146) Accm: 2.51 (2.62) Acct: 3.94 (4.12) proj_loss: -0.5920 (-0.5917) time: 0.3613 data: 0.0002
[11-26 20:10:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.865 (6.845) Lt: 6.169 (6.144) Accm: 2.47 (2.50) Acct: 3.85 (3.87) proj_loss: -0.5960 (-0.5967) time: 0.3614 data: 0.0003
[11-26 20:10:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.791 (6.799) Lt: 6.083 (6.086) Accm: 2.74 (2.69) Acct: 4.30 (4.27) proj_loss: -0.5891 (-0.5921) time: 0.3614 data: 0.0003
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.779 (6.795) Lt: 6.062 (6.082) Accm: 2.71 (2.70) Acct: 4.18 (4.25) proj_loss: -0.5893 (-0.5929) time: 0.3623 data: 0.0018
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:10:06 (0.364 s / it)
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.868 (6.875) Lt: 6.194 (6.168) Accm: 2.41 (2.46) Acct: 3.86 (3.87) proj_loss: -0.5923 (-0.5932) time: 0.3623 data: 0.0020
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.832 (6.813) Lt: 6.140 (6.117) Accm: 2.51 (2.63) Acct: 3.98 (4.13) proj_loss: -0.6037 (-0.5948) time: 0.3624 data: 0.0020
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 202/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.44 Lm: 6.884 (6.877) Lt: 6.193 (6.178) Accm: 2.40 (2.45) Acct: 3.84 (3.83) proj_loss: -0.5898 (-0.5907) time: 0.3624 data: 0.0013
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:10:06 (0.364 s / it)
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:10:06 (0.364 s / it)
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 202/350] Total time: 0:10:06 (0.364 s / it)
[11-26 20:12:34] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.140), Acc m&t: 2.57 4.05, Remain: 1 day, 0:55:26, Finish: 2024-11-27 05:08
[11-26 20:12:34] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.140), Acc m&t: 2.57 4.05, Remain: 1 day, 0:55:08, Finish: 2024-11-27 05:07
[11-26 20:12:34] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.140), Acc m&t: 2.57 4.05, Remain: 1 day, 0:56:04, Finish: 2024-11-27 05:08
[11-26 20:12:34] (/home/user/VAR/train.py , line 276)=> [ep202] (training ) Lm: 6.839 (6.842), Lt: 6.135 (6.140), Acc m&t: 2.57 4.05, Remain: 1 day, 0:55:10, Finish: 2024-11-27 05:07
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:10:05 tlr: 0.00011 tnm: 0.43 Lm: 6.917 (6.917) Lt: 6.168 (6.168) Accm: 2.35 (2.35) Acct: 3.65 (3.65) proj_loss: -0.5593 (-0.5593) time: 0.3628 data: 0.0003
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:10:06 tlr: 0.00011 tnm: 0.43 Lm: 6.875 (6.875) Lt: 6.169 (6.169) Accm: 2.56 (2.56) Acct: 4.13 (4.13) proj_loss: -0.6165 (-0.6165) time: 0.3635 data: 0.0004
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:09:58 tlr: 0.00011 tnm: 0.43 Lm: 6.701 (6.701) Lt: 5.958 (5.958) Accm: 3.08 (3.08) Acct: 4.99 (4.99) proj_loss: -0.5830 (-0.5830) time: 0.3589 data: 0.0003
[11-26 20:12:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 0/1669] eta: 0:10:07 tlr: 0.00011 tnm: 0.43 Lm: 6.910 (6.910) Lt: 6.217 (6.217) Accm: 2.43 (2.43) Acct: 3.67 (3.67) proj_loss: -0.5826 (-0.5826) time: 0.3637 data: 0.0004
[11-26 20:15:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:07:33 tlr: 0.00011 tnm: 0.42 Lm: 6.903 (6.903) Lt: 6.207 (6.207) Accm: 2.40 (2.40) Acct: 3.64 (3.64) proj_loss: -0.5785 (-0.5785) time: 0.3621 data: 0.0003
[11-26 20:15:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:07:33 tlr: 0.00011 tnm: 0.42 Lm: 6.855 (6.855) Lt: 6.159 (6.159) Accm: 2.74 (2.74) Acct: 4.36 (4.36) proj_loss: -0.5933 (-0.5933) time: 0.3621 data: 0.0003
[11-26 20:15:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:07:33 tlr: 0.00011 tnm: 0.42 Lm: 6.822 (6.822) Lt: 6.104 (6.104) Accm: 2.63 (2.63) Acct: 4.02 (4.02) proj_loss: -0.5753 (-0.5753) time: 0.3621 data: 0.0003
[11-26 20:15:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.42 Lm: 6.727 (6.727) Lt: 5.998 (5.998) Accm: 2.91 (2.91) Acct: 4.55 (4.55) proj_loss: -0.5782 (-0.5782) time: 0.3621 data: 0.0003
[11-26 20:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.753 (6.771) Lt: 6.038 (6.038) Accm: 2.75 (2.80) Acct: 4.12 (4.38) proj_loss: -0.5764 (-0.5776) time: 0.3623 data: 0.0003
[11-26 20:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.896 (6.864) Lt: 6.197 (6.182) Accm: 2.43 (2.45) Acct: 3.67 (3.69) proj_loss: -0.5826 (-0.5919) time: 0.3623 data: 0.0002
[11-26 20:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.836 (6.849) Lt: 6.151 (6.156) Accm: 2.56 (2.65) Acct: 4.13 (4.16) proj_loss: -0.5981 (-0.5949) time: 0.3624 data: 0.0002
[11-26 20:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [ 834/1669] eta: 0:05:02 tlr: 0.00011 tnm: 0.44 Lm: 6.875 (6.840) Lt: 6.168 (6.126) Accm: 2.40 (2.55) Acct: 3.74 (3.93) proj_loss: -0.5914 (-0.5821) time: 0.3624 data: 0.0003
[11-26 20:20:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.826 (6.824) Lt: 6.128 (6.117) Accm: 2.56 (2.60) Acct: 3.94 (3.98) proj_loss: -0.5890 (-0.5832) time: 0.3610 data: 0.0003
[11-26 20:20:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.894 (6.871) Lt: 6.184 (6.179) Accm: 2.45 (2.45) Acct: 3.73 (3.75) proj_loss: -0.5867 (-0.5916) time: 0.3610 data: 0.0005
[11-26 20:20:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.747 (6.763) Lt: 6.034 (6.036) Accm: 2.86 (2.84) Acct: 4.50 (4.51) proj_loss: -0.5761 (-0.5771) time: 0.3610 data: 0.0003
[11-26 20:20:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.836 (6.841) Lt: 6.150 (6.139) Accm: 2.63 (2.66) Acct: 4.27 (4.22) proj_loss: -0.5904 (-0.5918) time: 0.3610 data: 0.0002
[11-26 20:22:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.836 (6.810) Lt: 6.148 (6.102) Accm: 2.70 (2.75) Acct: 4.41 (4.40) proj_loss: -0.5846 (-0.5904) time: 0.3996 data: 0.0017
[11-26 20:22:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:10:07 (0.364 s / it)
[11-26 20:22:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.892 (6.862) Lt: 6.170 (6.169) Accm: 2.43 (2.45) Acct: 3.74 (3.75) proj_loss: -0.5908 (-0.5928) time: 0.3996 data: 0.0016
[11-26 20:22:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.753 (6.781) Lt: 6.038 (6.068) Accm: 2.75 (2.77) Acct: 4.12 (4.34) proj_loss: -0.5764 (-0.5848) time: 0.3996 data: 0.0021
[11-26 20:22:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 203/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.777 (6.810) Lt: 6.088 (6.091) Accm: 2.72 (2.65) Acct: 4.15 (4.12) proj_loss: -0.5876 (-0.5841) time: 0.3996 data: 0.0019
[11-26 20:22:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:10:07 (0.364 s / it)
[11-26 20:22:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:10:07 (0.364 s / it)
[11-26 20:22:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 203/350] Total time: 0:10:07 (0.364 s / it)
[11-26 20:22:41] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.829 (6.829), Lt: 6.124 (6.124), Acc m&t: 2.60 4.09, Remain: 1 day, 0:37:58, Finish: 2024-11-27 05:00
[11-26 20:22:41] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.829 (6.829), Lt: 6.124 (6.124), Acc m&t: 2.60 4.09, Remain: 1 day, 0:38:05, Finish: 2024-11-27 05:00
[11-26 20:22:41] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.829 (6.829), Lt: 6.124 (6.124), Acc m&t: 2.60 4.09, Remain: 1 day, 0:37:32, Finish: 2024-11-27 05:00
[11-26 20:22:41] (/home/user/VAR/train.py , line 276)=> [ep203] (training ) Lm: 6.829 (6.829), Lt: 6.124 (6.124), Acc m&t: 2.60 4.09, Remain: 1 day, 0:38:19, Finish: 2024-11-27 05:01
[11-26 20:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:09:36 tlr: 0.00011 tnm: 0.42 Lm: 6.692 (6.692) Lt: 5.990 (5.990) Accm: 2.96 (2.96) Acct: 4.70 (4.70) proj_loss: -0.5938 (-0.5938) time: 0.3453 data: 0.0003
[11-26 20:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:09:36 tlr: 0.00011 tnm: 0.42 Lm: 6.909 (6.909) Lt: 6.170 (6.170) Accm: 2.23 (2.23) Acct: 3.25 (3.25) proj_loss: -0.5801 (-0.5801) time: 0.3455 data: 0.0004
[11-26 20:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:09:34 tlr: 0.00011 tnm: 0.42 Lm: 6.828 (6.828) Lt: 6.097 (6.097) Accm: 2.56 (2.56) Acct: 3.98 (3.98) proj_loss: -0.5898 (-0.5898) time: 0.3442 data: 0.0004
[11-26 20:22:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 0/1669] eta: 0:09:35 tlr: 0.00011 tnm: 0.42 Lm: 6.847 (6.847) Lt: 6.119 (6.119) Accm: 2.72 (2.72) Acct: 4.24 (4.24) proj_loss: -0.6032 (-0.6032) time: 0.3448 data: 0.0003
[11-26 20:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:07:50 tlr: 0.00011 tnm: 0.43 Lm: 6.858 (6.858) Lt: 6.158 (6.158) Accm: 2.74 (2.74) Acct: 4.16 (4.16) proj_loss: -0.6021 (-0.6021) time: 0.4008 data: 0.0003
[11-26 20:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:07:50 tlr: 0.00011 tnm: 0.43 Lm: 6.775 (6.775) Lt: 6.066 (6.066) Accm: 2.71 (2.71) Acct: 4.23 (4.23) proj_loss: -0.5944 (-0.5944) time: 0.4008 data: 0.0002
[11-26 20:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:07:50 tlr: 0.00011 tnm: 0.43 Lm: 6.857 (6.857) Lt: 6.124 (6.124) Accm: 2.48 (2.48) Acct: 3.77 (3.77) proj_loss: -0.5925 (-0.5925) time: 0.4008 data: 0.0003
[11-26 20:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 417/1669] eta: 0:07:50 tlr: 0.00011 tnm: 0.43 Lm: 6.806 (6.806) Lt: 6.071 (6.071) Accm: 2.72 (2.72) Acct: 4.24 (4.24) proj_loss: -0.5849 (-0.5849) time: 0.4008 data: 0.0003
[11-26 20:27:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:05:14 tlr: 0.00011 tnm: 0.42 Lm: 6.828 (6.830) Lt: 6.097 (6.101) Accm: 2.56 (2.61) Acct: 3.98 (4.05) proj_loss: -0.5898 (-0.5900) time: 0.3611 data: 0.0003
[11-26 20:27:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:05:14 tlr: 0.00011 tnm: 0.42 Lm: 6.909 (6.897) Lt: 6.170 (6.187) Accm: 2.33 (2.43) Acct: 3.67 (3.74) proj_loss: -0.6046 (-0.5966) time: 0.3611 data: 0.0003
[11-26 20:27:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:05:14 tlr: 0.00011 tnm: 0.42 Lm: 6.869 (6.878) Lt: 6.196 (6.171) Accm: 2.72 (2.65) Acct: 4.08 (4.12) proj_loss: -0.6009 (-0.5993) time: 0.3611 data: 0.0003
[11-26 20:27:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [ 834/1669] eta: 0:05:14 tlr: 0.00011 tnm: 0.42 Lm: 6.852 (6.801) Lt: 6.141 (6.096) Accm: 2.61 (2.68) Acct: 4.20 (4.22) proj_loss: -0.5938 (-0.5911) time: 0.3612 data: 0.0002
[11-26 20:30:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.43 Lm: 6.784 (6.779) Lt: 6.066 (6.061) Accm: 2.76 (2.74) Acct: 4.45 (4.34) proj_loss: -0.5892 (-0.5874) time: 0.3610 data: 0.0003
[11-26 20:30:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.43 Lm: 6.857 (6.867) Lt: 6.124 (6.154) Accm: 2.53 (2.50) Acct: 3.85 (3.81) proj_loss: -0.6048 (-0.6003) time: 0.3610 data: 0.0003
[11-26 20:30:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.43 Lm: 6.806 (6.796) Lt: 6.071 (6.062) Accm: 2.72 (2.77) Acct: 4.24 (4.33) proj_loss: -0.5917 (-0.5909) time: 0.3610 data: 0.0003
[11-26 20:30:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.43 Lm: 6.858 (6.862) Lt: 6.158 (6.137) Accm: 2.74 (2.69) Acct: 4.16 (4.28) proj_loss: -0.5988 (-0.5986) time: 0.3610 data: 0.0003
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.869 (6.868) Lt: 6.183 (6.146) Accm: 2.72 (2.61) Acct: 4.08 (4.14) proj_loss: -0.5967 (-0.5961) time: 0.3623 data: 0.0017
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:10:27 (0.376 s / it)
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.768 (6.777) Lt: 6.015 (6.052) Accm: 2.66 (2.72) Acct: 4.27 (4.33) proj_loss: -0.5846 (-0.5867) time: 0.3623 data: 0.0019
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.828 (6.803) Lt: 6.097 (6.077) Accm: 2.78 (2.77) Acct: 4.39 (4.34) proj_loss: -0.5898 (-0.5896) time: 0.3623 data: 0.0015
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 204/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.806 (6.834) Lt: 6.077 (6.120) Accm: 2.72 (2.58) Acct: 4.03 (3.95) proj_loss: -0.6046 (-0.5998) time: 0.3623 data: 0.0019
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:10:27 (0.376 s / it)
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:10:27 (0.376 s / it)
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 204/350] Total time: 0:10:27 (0.376 s / it)
[11-26 20:33:09] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.120), Acc m&t: 2.60 4.12, Remain: 1 day, 0:28:59, Finish: 2024-11-27 05:02
[11-26 20:33:09] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.120), Acc m&t: 2.60 4.12, Remain: 1 day, 0:28:50, Finish: 2024-11-27 05:01
[11-26 20:33:09] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.120), Acc m&t: 2.60 4.12, Remain: 1 day, 0:29:12, Finish: 2024-11-27 05:02
[11-26 20:33:09] (/home/user/VAR/train.py , line 276)=> [ep204] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.120), Acc m&t: 2.60 4.12, Remain: 1 day, 0:29:15, Finish: 2024-11-27 05:02
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:09:43 tlr: 0.00011 tnm: 0.42 Lm: 6.858 (6.858) Lt: 6.178 (6.178) Accm: 2.51 (2.51) Acct: 3.75 (3.75) proj_loss: -0.5936 (-0.5936) time: 0.3499 data: 0.0004
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:09:47 tlr: 0.00011 tnm: 0.42 Lm: 6.752 (6.752) Lt: 6.082 (6.082) Accm: 2.94 (2.94) Acct: 4.55 (4.55) proj_loss: -0.5965 (-0.5965) time: 0.3520 data: 0.0004
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:09:48 tlr: 0.00011 tnm: 0.42 Lm: 6.809 (6.809) Lt: 6.085 (6.085) Accm: 2.79 (2.79) Acct: 4.65 (4.65) proj_loss: -0.5742 (-0.5742) time: 0.3526 data: 0.0003
[11-26 20:33:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 0/1669] eta: 0:09:47 tlr: 0.00011 tnm: 0.42 Lm: 6.835 (6.835) Lt: 6.084 (6.084) Accm: 2.43 (2.43) Acct: 3.99 (3.99) proj_loss: -0.5824 (-0.5824) time: 0.3520 data: 0.0003
[11-26 20:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:07:37 tlr: 0.00011 tnm: 0.44 Lm: 6.812 (6.812) Lt: 6.078 (6.078) Accm: 2.51 (2.51) Acct: 4.12 (4.12) proj_loss: -0.5835 (-0.5835) time: 0.3587 data: 0.0003
[11-26 20:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:07:37 tlr: 0.00011 tnm: 0.44 Lm: 6.819 (6.819) Lt: 6.151 (6.151) Accm: 2.64 (2.64) Acct: 4.13 (4.13) proj_loss: -0.5929 (-0.5929) time: 0.3587 data: 0.0002
[11-26 20:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:07:37 tlr: 0.00011 tnm: 0.44 Lm: 6.793 (6.793) Lt: 6.095 (6.095) Accm: 2.67 (2.67) Acct: 4.33 (4.33) proj_loss: -0.5884 (-0.5884) time: 0.3587 data: 0.0003
[11-26 20:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 417/1669] eta: 0:07:37 tlr: 0.00011 tnm: 0.44 Lm: 6.910 (6.910) Lt: 6.238 (6.238) Accm: 2.30 (2.30) Acct: 3.50 (3.50) proj_loss: -0.6036 (-0.6036) time: 0.3587 data: 0.0003
[11-26 20:38:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.902 (6.907) Lt: 6.257 (6.245) Accm: 2.24 (2.28) Acct: 3.39 (3.47) proj_loss: -0.6033 (-0.6035) time: 0.3640 data: 0.0003
[11-26 20:38:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.872 (6.837) Lt: 6.189 (6.163) Accm: 2.35 (2.54) Acct: 3.72 (3.89) proj_loss: -0.5908 (-0.5922) time: 0.3640 data: 0.0002
[11-26 20:38:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.830 (6.818) Lt: 6.084 (6.098) Accm: 2.59 (2.54) Acct: 3.99 (4.08) proj_loss: -0.5846 (-0.5850) time: 0.3640 data: 0.0003
[11-26 20:38:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.806 (6.797) Lt: 6.085 (6.081) Accm: 2.70 (2.68) Acct: 4.56 (4.41) proj_loss: -0.5890 (-0.5886) time: 0.3640 data: 0.0003
[11-26 20:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.808 (6.824) Lt: 6.095 (6.108) Accm: 2.62 (2.61) Acct: 4.29 (4.30) proj_loss: -0.5921 (-0.5903) time: 0.3613 data: 0.0003
[11-26 20:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.833 (6.857) Lt: 6.112 (6.142) Accm: 2.51 (2.46) Acct: 3.99 (3.96) proj_loss: -0.5863 (-0.5872) time: 0.3613 data: 0.0003
[11-26 20:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.879 (6.849) Lt: 6.203 (6.177) Accm: 2.43 (2.53) Acct: 3.81 (3.89) proj_loss: -0.5900 (-0.5833) time: 0.3613 data: 0.0002
[11-26 20:40:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.43 Lm: 6.880 (6.816) Lt: 6.218 (6.141) Accm: 2.37 (2.57) Acct: 3.57 (3.90) proj_loss: -0.6036 (-0.6036) time: 0.3613 data: 0.0003
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.878 (6.855) Lt: 6.189 (6.176) Accm: 2.51 (2.53) Acct: 3.89 (3.90) proj_loss: -0.5908 (-0.5895) time: 0.3644 data: 0.0019
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.806 (6.808) Lt: 6.085 (6.076) Accm: 2.70 (2.63) Acct: 4.13 (4.26) proj_loss: -0.5890 (-0.5898) time: 0.3644 data: 0.0018
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.832 (6.852) Lt: 6.139 (6.141) Accm: 2.43 (2.44) Acct: 3.99 (3.88) proj_loss: -0.5846 (-0.5854) time: 0.3644 data: 0.0018
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 205/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.858 (6.823) Lt: 6.178 (6.148) Accm: 2.32 (2.52) Acct: 3.63 (3.84) proj_loss: -0.6033 (-0.5986) time: 0.3644 data: 0.0015
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:10:04 (0.362 s / it)
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:10:04 (0.362 s / it)
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:10:04 (0.362 s / it)
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 205/350] Total time: 0:10:04 (0.362 s / it)
[11-26 20:43:14] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.829 (6.837), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 1 day, 0:30:28, Finish: 2024-11-27 05:13
[11-26 20:43:14] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.829 (6.837), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 1 day, 0:30:18, Finish: 2024-11-27 05:13
[11-26 20:43:14] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.829 (6.837), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 1 day, 0:29:19, Finish: 2024-11-27 05:12
[11-26 20:43:14] (/home/user/VAR/train.py , line 276)=> [ep205] (training ) Lm: 6.829 (6.837), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 1 day, 0:29:05, Finish: 2024-11-27 05:12
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:09:38 tlr: 0.00011 tnm: 0.44 Lm: 6.850 (6.850) Lt: 6.147 (6.147) Accm: 2.26 (2.26) Acct: 3.44 (3.44) proj_loss: -0.5937 (-0.5937) time: 0.3468 data: 0.0003
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:10:01 tlr: 0.00011 tnm: 0.44 Lm: 6.845 (6.845) Lt: 6.161 (6.161) Accm: 2.63 (2.63) Acct: 4.06 (4.06) proj_loss: -0.5806 (-0.5806) time: 0.3606 data: 0.0004
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:09:53 tlr: 0.00011 tnm: 0.44 Lm: 6.882 (6.882) Lt: 6.226 (6.226) Accm: 2.57 (2.57) Acct: 3.84 (3.84) proj_loss: -0.6020 (-0.6020) time: 0.3553 data: 0.0004
[11-26 20:43:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 0/1669] eta: 0:09:37 tlr: 0.00011 tnm: 0.44 Lm: 7.009 (7.009) Lt: 6.379 (6.379) Accm: 2.33 (2.33) Acct: 3.46 (3.46) proj_loss: -0.5836 (-0.5836) time: 0.3462 data: 0.0003
[11-26 20:45:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.44 Lm: 6.907 (6.907) Lt: 6.241 (6.241) Accm: 2.49 (2.49) Acct: 3.89 (3.89) proj_loss: -0.5870 (-0.5870) time: 0.3624 data: 0.0003
[11-26 20:45:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.44 Lm: 6.804 (6.804) Lt: 6.081 (6.081) Accm: 2.67 (2.67) Acct: 4.20 (4.20) proj_loss: -0.5932 (-0.5932) time: 0.3624 data: 0.0003
[11-26 20:45:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.44 Lm: 6.829 (6.829) Lt: 6.132 (6.132) Accm: 2.62 (2.62) Acct: 3.91 (3.91) proj_loss: -0.5998 (-0.5998) time: 0.3624 data: 0.0003
[11-26 20:45:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.44 Lm: 6.882 (6.882) Lt: 6.190 (6.190) Accm: 2.32 (2.32) Acct: 3.55 (3.55) proj_loss: -0.5987 (-0.5987) time: 0.3624 data: 0.0003
[11-26 20:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.901 (6.889) Lt: 6.223 (6.201) Accm: 2.38 (2.37) Acct: 3.65 (3.66) proj_loss: -0.5937 (-0.5917) time: 0.3607 data: 0.0003
[11-26 20:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.762 (6.788) Lt: 6.013 (6.058) Accm: 2.71 (2.70) Acct: 4.20 (4.20) proj_loss: -0.6057 (-0.5977) time: 0.3607 data: 0.0003
[11-26 20:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.782 (6.813) Lt: 6.095 (6.120) Accm: 2.67 (2.71) Acct: 3.98 (3.99) proj_loss: -0.5976 (-0.5923) time: 0.3607 data: 0.0003
[11-26 20:48:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [ 834/1669] eta: 0:05:03 tlr: 0.00011 tnm: 0.44 Lm: 6.805 (6.837) Lt: 6.103 (6.141) Accm: 2.65 (2.55) Acct: 4.32 (4.05) proj_loss: -0.5905 (-0.5896) time: 0.3607 data: 0.0003
[11-26 20:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.44 Lm: 6.798 (6.826) Lt: 6.111 (6.135) Accm: 2.63 (2.57) Acct: 4.18 (4.05) proj_loss: -0.5926 (-0.5931) time: 0.3622 data: 0.0003
[11-26 20:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.44 Lm: 6.782 (6.805) Lt: 6.067 (6.095) Accm: 2.76 (2.75) Acct: 4.06 (4.19) proj_loss: -0.5955 (-0.5926) time: 0.3622 data: 0.0003
[11-26 20:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.44 Lm: 6.804 (6.827) Lt: 6.087 (6.108) Accm: 2.67 (2.64) Acct: 4.13 (4.08) proj_loss: -0.6023 (-0.5980) time: 0.3622 data: 0.0003
[11-26 20:50:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1251/1669] eta: 0:02:31 tlr: 0.00011 tnm: 0.44 Lm: 6.908 (6.896) Lt: 6.207 (6.199) Accm: 2.41 (2.39) Acct: 3.76 (3.71) proj_loss: -0.5928 (-0.5917) time: 0.3622 data: 0.0003
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.845 (6.842) Lt: 6.161 (6.126) Accm: 2.63 (2.58) Acct: 4.06 (3.99) proj_loss: -0.5989 (-0.5949) time: 0.4106 data: 0.0021
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.783 (6.809) Lt: 6.092 (6.095) Accm: 2.67 (2.71) Acct: 4.12 (4.17) proj_loss: -0.5934 (-0.5912) time: 0.4106 data: 0.0017
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.790 (6.775) Lt: 6.103 (6.085) Accm: 2.65 (2.71) Acct: 4.32 (4.20) proj_loss: -0.5946 (-0.5965) time: 0.4106 data: 0.0020
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 206/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.43 Lm: 6.901 (6.881) Lt: 6.191 (6.170) Accm: 2.44 (2.42) Acct: 3.87 (3.77) proj_loss: -0.5919 (-0.5911) time: 0.4106 data: 0.0014
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:10:10 (0.366 s / it)
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:10:10 (0.366 s / it)
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:10:10 (0.366 s / it)
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 206/350] Total time: 0:10:10 (0.366 s / it)
[11-26 20:53:25] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.829 (6.831), Lt: 6.120 (6.128), Acc m&t: 2.60 4.12, Remain: 1 day, 0:18:59, Finish: 2024-11-27 05:12
[11-26 20:53:25] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.829 (6.831), Lt: 6.120 (6.128), Acc m&t: 2.60 4.12, Remain: 1 day, 0:17:38, Finish: 2024-11-27 05:11
[11-26 20:53:25] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.829 (6.831), Lt: 6.120 (6.128), Acc m&t: 2.60 4.12, Remain: 1 day, 0:16:33, Finish: 2024-11-27 05:09
[11-26 20:53:25] (/home/user/VAR/train.py , line 276)=> [ep206] (training ) Lm: 6.829 (6.831), Lt: 6.120 (6.128), Acc m&t: 2.60 4.12, Remain: 1 day, 0:19:13, Finish: 2024-11-27 05:12
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:09:50 tlr: 0.00011 tnm: 0.43 Lm: 6.740 (6.740) Lt: 6.088 (6.088) Accm: 2.72 (2.72) Acct: 4.05 (4.05) proj_loss: -0.5942 (-0.5942) time: 0.3536 data: 0.0003
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:09:45 tlr: 0.00011 tnm: 0.43 Lm: 6.813 (6.813) Lt: 6.147 (6.147) Accm: 2.56 (2.56) Acct: 3.99 (3.99) proj_loss: -0.5930 (-0.5930) time: 0.3506 data: 0.0004
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:09:48 tlr: 0.00011 tnm: 0.43 Lm: 6.828 (6.828) Lt: 6.196 (6.196) Accm: 2.46 (2.46) Acct: 3.48 (3.48) proj_loss: -0.6189 (-0.6189) time: 0.3528 data: 0.0003
[11-26 20:53:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 0/1669] eta: 0:09:50 tlr: 0.00011 tnm: 0.43 Lm: 6.887 (6.887) Lt: 6.232 (6.232) Accm: 2.37 (2.37) Acct: 3.84 (3.84) proj_loss: -0.5999 (-0.5999) time: 0.3536 data: 0.0004
[11-26 20:56:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.43 Lm: 6.854 (6.854) Lt: 6.199 (6.199) Accm: 2.58 (2.58) Acct: 4.02 (4.02) proj_loss: -0.6013 (-0.6013) time: 0.4493 data: 0.0002
[11-26 20:56:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.43 Lm: 6.749 (6.749) Lt: 6.066 (6.066) Accm: 2.96 (2.96) Acct: 4.50 (4.50) proj_loss: -0.5855 (-0.5855) time: 0.4493 data: 0.0003
[11-26 20:56:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.43 Lm: 6.824 (6.824) Lt: 6.158 (6.158) Accm: 2.40 (2.40) Acct: 3.58 (3.58) proj_loss: -0.6078 (-0.6078) time: 0.4493 data: 0.0003
[11-26 20:56:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 417/1669] eta: 0:07:57 tlr: 0.00011 tnm: 0.43 Lm: 6.759 (6.759) Lt: 6.076 (6.076) Accm: 2.76 (2.76) Acct: 4.34 (4.34) proj_loss: -0.5948 (-0.5948) time: 0.4493 data: 0.0003
[11-26 20:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:05:15 tlr: 0.00011 tnm: 0.46 Lm: 6.721 (6.746) Lt: 6.006 (6.050) Accm: 2.96 (2.86) Acct: 4.68 (4.52) proj_loss: -0.5930 (-0.5882) time: 0.3601 data: 0.0003
[11-26 20:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:05:15 tlr: 0.00011 tnm: 0.46 Lm: 6.758 (6.793) Lt: 6.088 (6.106) Accm: 2.72 (2.84) Acct: 4.12 (4.37) proj_loss: -0.5891 (-0.5867) time: 0.3601 data: 0.0003
[11-26 20:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:05:15 tlr: 0.00011 tnm: 0.46 Lm: 6.887 (6.903) Lt: 6.232 (6.222) Accm: 2.37 (2.47) Acct: 3.84 (3.90) proj_loss: -0.5999 (-0.5948) time: 0.3601 data: 0.0003
[11-26 20:58:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [ 834/1669] eta: 0:05:15 tlr: 0.00011 tnm: 0.46 Lm: 6.828 (6.865) Lt: 6.196 (6.191) Accm: 2.46 (2.49) Acct: 3.68 (3.75) proj_loss: -0.5977 (-0.6044) time: 0.3601 data: 0.0003
[11-26 21:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.46 Lm: 6.824 (6.835) Lt: 6.158 (6.160) Accm: 2.56 (2.59) Acct: 3.89 (3.89) proj_loss: -0.6017 (-0.6047) time: 0.3567 data: 0.0003
[11-26 21:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.46 Lm: 6.767 (6.766) Lt: 6.050 (6.061) Accm: 2.76 (2.73) Acct: 4.34 (4.34) proj_loss: -0.5948 (-0.5905) time: 0.3566 data: 0.0003
[11-26 21:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.46 Lm: 6.923 (6.917) Lt: 6.245 (6.231) Accm: 2.31 (2.35) Acct: 3.75 (3.73) proj_loss: -0.5986 (-0.5954) time: 0.3566 data: 0.0003
[11-26 21:01:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1251/1669] eta: 0:02:37 tlr: 0.00011 tnm: 0.46 Lm: 6.749 (6.723) Lt: 6.066 (6.013) Accm: 2.96 (2.99) Acct: 4.54 (4.61) proj_loss: -0.5870 (-0.5863) time: 0.3566 data: 0.0003
[11-26 21:03:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.758 (6.761) Lt: 6.088 (6.045) Accm: 2.72 (2.85) Acct: 4.12 (4.40) proj_loss: -0.5891 (-0.5876) time: 0.3645 data: 0.0020
[11-26 21:03:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:10:24 (0.374 s / it)
[11-26 21:03:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.887 (6.905) Lt: 6.232 (6.204) Accm: 2.37 (2.38) Acct: 3.84 (3.81) proj_loss: -0.5972 (-0.5903) time: 0.3645 data: 0.0021
[11-26 21:03:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.813 (6.796) Lt: 6.094 (6.100) Accm: 2.56 (2.65) Acct: 3.99 (4.19) proj_loss: -0.5936 (-0.5911) time: 0.3645 data: 0.0021
[11-26 21:03:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 207/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.820 (6.827) Lt: 6.129 (6.153) Accm: 2.65 (2.61) Acct: 4.10 (3.96) proj_loss: -0.6056 (-0.6062) time: 0.3645 data: 0.0021
[11-26 21:03:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:10:24 (0.374 s / it)
[11-26 21:03:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:10:24 (0.374 s / it)
[11-26 21:03:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 207/350] Total time: 0:10:24 (0.374 s / it)
[11-26 21:03:49] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.829 (6.836), Lt: 6.120 (6.136), Acc m&t: 2.60 4.12, Remain: 1 day, 0:06:18, Finish: 2024-11-27 05:10
[11-26 21:03:49] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.829 (6.836), Lt: 6.120 (6.136), Acc m&t: 2.60 4.12, Remain: 1 day, 0:08:14, Finish: 2024-11-27 05:12
[11-26 21:03:49] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.829 (6.836), Lt: 6.120 (6.136), Acc m&t: 2.60 4.12, Remain: 1 day, 0:06:31, Finish: 2024-11-27 05:10
[11-26 21:03:49] (/home/user/VAR/train.py , line 276)=> [ep207] (training ) Lm: 6.829 (6.836), Lt: 6.120 (6.136), Acc m&t: 2.60 4.12, Remain: 1 day, 0:06:05, Finish: 2024-11-27 05:09
[11-26 21:03:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:09:59 tlr: 0.00011 tnm: 0.46 Lm: 6.747 (6.747) Lt: 6.038 (6.038) Accm: 3.27 (3.27) Acct: 5.22 (5.22) proj_loss: -0.5897 (-0.5897) time: 0.3590 data: 0.0004
[11-26 21:03:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:09:54 tlr: 0.00011 tnm: 0.46 Lm: 6.895 (6.895) Lt: 6.263 (6.263) Accm: 2.34 (2.34) Acct: 3.37 (3.37) proj_loss: -0.6105 (-0.6105) time: 0.3563 data: 0.0005
[11-26 21:03:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:09:56 tlr: 0.00011 tnm: 0.46 Lm: 6.855 (6.855) Lt: 6.188 (6.188) Accm: 2.75 (2.75) Acct: 4.25 (4.25) proj_loss: -0.5983 (-0.5983) time: 0.3576 data: 0.0004
[11-26 21:03:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 0/1669] eta: 0:09:58 tlr: 0.00011 tnm: 0.46 Lm: 6.855 (6.855) Lt: 6.130 (6.130) Accm: 2.40 (2.40) Acct: 3.70 (3.70) proj_loss: -0.5864 (-0.5864) time: 0.3587 data: 0.0005
[11-26 21:06:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.44 Lm: 6.867 (6.867) Lt: 6.142 (6.142) Accm: 2.40 (2.40) Acct: 3.71 (3.71) proj_loss: -0.5831 (-0.5831) time: 0.3635 data: 0.0003
[11-26 21:06:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.44 Lm: 6.790 (6.790) Lt: 6.093 (6.093) Accm: 2.83 (2.83) Acct: 4.37 (4.37) proj_loss: -0.5976 (-0.5976) time: 0.3635 data: 0.0002
[11-26 21:06:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.44 Lm: 6.847 (6.847) Lt: 6.171 (6.171) Accm: 2.42 (2.42) Acct: 3.70 (3.70) proj_loss: -0.6021 (-0.6021) time: 0.3635 data: 0.0003
[11-26 21:06:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.44 Lm: 6.744 (6.744) Lt: 6.038 (6.038) Accm: 3.06 (3.06) Acct: 4.98 (4.98) proj_loss: -0.5903 (-0.5903) time: 0.3634 data: 0.0003
[11-26 21:08:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:05:01 tlr: 0.00011 tnm: 0.43 Lm: 6.855 (6.820) Lt: 6.140 (6.108) Accm: 2.75 (2.69) Acct: 4.25 (4.14) proj_loss: -0.5968 (-0.5926) time: 0.3605 data: 0.0003
[11-26 21:08:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:05:01 tlr: 0.00011 tnm: 0.43 Lm: 6.798 (6.793) Lt: 6.079 (6.092) Accm: 2.51 (2.63) Acct: 4.03 (4.06) proj_loss: -0.5937 (-0.5973) time: 0.3605 data: 0.0003
[11-26 21:08:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:05:01 tlr: 0.00011 tnm: 0.43 Lm: 6.878 (6.896) Lt: 6.153 (6.190) Accm: 2.40 (2.32) Acct: 3.70 (3.61) proj_loss: -0.5864 (-0.5888) time: 0.3605 data: 0.0003
[11-26 21:08:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [ 834/1669] eta: 0:05:01 tlr: 0.00011 tnm: 0.43 Lm: 6.747 (6.789) Lt: 6.038 (6.081) Accm: 2.84 (2.87) Acct: 4.73 (4.64) proj_loss: -0.5897 (-0.5901) time: 0.3605 data: 0.0003
[11-26 21:11:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:02:30 tlr: 0.00011 tnm: 0.44 Lm: 6.786 (6.798) Lt: 6.073 (6.088) Accm: 2.78 (2.83) Acct: 4.47 (4.53) proj_loss: -0.5896 (-0.5874) time: 0.3606 data: 0.0003
[11-26 21:11:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:02:30 tlr: 0.00011 tnm: 0.44 Lm: 6.862 (6.832) Lt: 6.160 (6.126) Accm: 2.75 (2.70) Acct: 4.27 (4.18) proj_loss: -0.5938 (-0.5922) time: 0.3607 data: 0.0003
[11-26 21:11:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:02:30 tlr: 0.00011 tnm: 0.44 Lm: 6.847 (6.819) Lt: 6.149 (6.124) Accm: 2.48 (2.58) Acct: 3.94 (4.01) proj_loss: -0.5971 (-0.5981) time: 0.3607 data: 0.0003
[11-26 21:11:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1251/1669] eta: 0:02:30 tlr: 0.00011 tnm: 0.44 Lm: 6.891 (6.898) Lt: 6.177 (6.193) Accm: 2.28 (2.27) Acct: 3.59 (3.58) proj_loss: -0.5854 (-0.5876) time: 0.3606 data: 0.0003
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.903 (6.918) Lt: 6.201 (6.220) Accm: 2.16 (2.25) Acct: 3.48 (3.51) proj_loss: -0.5864 (-0.5878) time: 0.3621 data: 0.0017
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:10:02 (0.361 s / it)
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.881 (6.831) Lt: 6.186 (6.136) Accm: 2.45 (2.56) Acct: 3.86 (3.98) proj_loss: -0.5937 (-0.5971) time: 0.3621 data: 0.0017
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.855 (6.818) Lt: 6.140 (6.114) Accm: 2.75 (2.72) Acct: 4.29 (4.21) proj_loss: -0.5968 (-0.5971) time: 0.3621 data: 0.0017
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 208/350] [1668/1669] eta: 0:00:00 tlr: 0.00011 tnm: 0.45 Lm: 6.825 (6.821) Lt: 6.108 (6.101) Accm: 2.72 (2.75) Acct: 4.20 (4.43) proj_loss: -0.5895 (-0.5860) time: 0.3622 data: 0.0015
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:10:02 (0.361 s / it)
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:10:02 (0.361 s / it)
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 208/350] Total time: 0:10:02 (0.361 s / it)
[11-26 21:13:53] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.829 (6.844), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 23:42:04, Finish: 2024-11-27 04:55
[11-26 21:13:53] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.829 (6.844), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 23:41:51, Finish: 2024-11-27 04:55
[11-26 21:13:53] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.829 (6.844), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 23:42:45, Finish: 2024-11-27 04:56
[11-26 21:13:53] (/home/user/VAR/train.py , line 276)=> [ep208] (training ) Lm: 6.829 (6.844), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 23:43:04, Finish: 2024-11-27 04:56
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:09:33 tlr: 0.00011 tnm: 0.46 Lm: 6.828 (6.828) Lt: 6.131 (6.131) Accm: 2.62 (2.62) Acct: 3.84 (3.84) proj_loss: -0.6008 (-0.6008) time: 0.3434 data: 0.0003
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:09:32 tlr: 0.00011 tnm: 0.46 Lm: 6.879 (6.879) Lt: 6.184 (6.184) Accm: 2.38 (2.38) Acct: 3.50 (3.50) proj_loss: -0.5915 (-0.5915) time: 0.3433 data: 0.0004
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:09:33 tlr: 0.00011 tnm: 0.46 Lm: 6.789 (6.789) Lt: 6.075 (6.075) Accm: 2.77 (2.77) Acct: 4.55 (4.55) proj_loss: -0.5940 (-0.5940) time: 0.3439 data: 0.0004
[11-26 21:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 0/1669] eta: 0:09:32 tlr: 0.00011 tnm: 0.46 Lm: 6.749 (6.749) Lt: 6.020 (6.020) Accm: 2.98 (2.98) Acct: 4.63 (4.63) proj_loss: -0.6131 (-0.6131) time: 0.3432 data: 0.0004
[11-26 21:16:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.45 Lm: 6.824 (6.824) Lt: 6.112 (6.112) Accm: 2.60 (2.60) Acct: 3.99 (3.99) proj_loss: -0.6022 (-0.6022) time: 0.3613 data: 0.0003
[11-26 21:16:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.45 Lm: 6.854 (6.854) Lt: 6.122 (6.122) Accm: 2.55 (2.55) Acct: 4.18 (4.18) proj_loss: -0.5826 (-0.5826) time: 0.3613 data: 0.0003
[11-26 21:16:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.45 Lm: 6.868 (6.868) Lt: 6.170 (6.170) Accm: 2.48 (2.48) Acct: 3.71 (3.71) proj_loss: -0.5934 (-0.5934) time: 0.3613 data: 0.0002
[11-26 21:16:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 417/1669] eta: 0:07:32 tlr: 0.00011 tnm: 0.45 Lm: 6.802 (6.802) Lt: 6.105 (6.105) Accm: 2.69 (2.69) Acct: 4.14 (4.14) proj_loss: -0.6010 (-0.6010) time: 0.3614 data: 0.0003
[11-26 21:18:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:05:01 tlr: 0.0001 tnm: 0.44 Lm: 6.756 (6.787) Lt: 6.059 (6.089) Accm: 2.96 (2.78) Acct: 4.60 (4.29) proj_loss: -0.5911 (-0.5977) time: 0.3602 data: 0.0003
[11-26 21:18:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:05:01 tlr: 0.0001 tnm: 0.44 Lm: 6.860 (6.865) Lt: 6.170 (6.170) Accm: 2.38 (2.45) Acct: 3.93 (3.84) proj_loss: -0.5954 (-0.5959) time: 0.3602 data: 0.0003
[11-26 21:18:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:05:01 tlr: 0.0001 tnm: 0.44 Lm: 6.821 (6.759) Lt: 6.092 (6.034) Accm: 2.62 (2.85) Acct: 4.13 (4.44) proj_loss: -0.6008 (-0.5945) time: 0.3601 data: 0.0003
[11-26 21:18:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [ 834/1669] eta: 0:05:01 tlr: 0.0001 tnm: 0.44 Lm: 6.819 (6.842) Lt: 6.112 (6.118) Accm: 2.63 (2.58) Acct: 4.32 (4.22) proj_loss: -0.5823 (-0.5825) time: 0.3601 data: 0.0003
[11-26 21:21:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.44 Lm: 6.817 (6.836) Lt: 6.115 (6.118) Accm: 2.67 (2.61) Acct: 4.24 (4.21) proj_loss: -0.5841 (-0.5833) time: 0.4067 data: 0.0003
[11-26 21:21:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.44 Lm: 6.858 (6.831) Lt: 6.163 (6.113) Accm: 2.48 (2.55) Acct: 4.01 (3.91) proj_loss: -0.5934 (-0.5925) time: 0.4067 data: 0.0003
[11-26 21:21:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.44 Lm: 6.824 (6.790) Lt: 6.112 (6.075) Accm: 2.60 (2.70) Acct: 3.99 (4.27) proj_loss: -0.5908 (-0.5911) time: 0.4067 data: 0.0003
[11-26 21:21:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1251/1669] eta: 0:02:32 tlr: 0.0001 tnm: 0.44 Lm: 6.806 (6.839) Lt: 6.124 (6.154) Accm: 2.68 (2.63) Acct: 4.12 (4.11) proj_loss: -0.5900 (-0.5942) time: 0.4067 data: 0.0003
[11-26 21:24:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.794 (6.830) Lt: 6.059 (6.131) Accm: 2.71 (2.65) Acct: 4.44 (4.17) proj_loss: -0.5890 (-0.5913) time: 0.3976 data: 0.0019
[11-26 21:24:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:10:14 (0.368 s / it)
[11-26 21:24:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.860 (6.853) Lt: 6.170 (6.138) Accm: 2.55 (2.55) Acct: 4.10 (3.97) proj_loss: -0.5915 (-0.5911) time: 0.3976 data: 0.0016
[11-26 21:24:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.816 (6.822) Lt: 6.112 (6.101) Accm: 2.71 (2.67) Acct: 4.32 (4.31) proj_loss: -0.5823 (-0.5823) time: 0.3976 data: 0.0019
[11-26 21:24:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 209/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.821 (6.791) Lt: 6.092 (6.071) Accm: 2.62 (2.71) Acct: 4.13 (4.36) proj_loss: -0.5817 (-0.5892) time: 0.3976 data: 0.0016
[11-26 21:24:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:10:14 (0.368 s / it)
[11-26 21:24:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:10:14 (0.368 s / it)
[11-26 21:24:08] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 209/350] Total time: 0:10:14 (0.368 s / it)
[11-26 21:26:22] (home/user/VAR/trainer.py, line 114)=> FID: 4.4358905750664235
[11-26 21:26:23] (/home/user/VAR/train.py , line 259)=> [*] [ep209] (val 50000) Lm: 6.8354, Lt: 6.1312, Acc m&t: 2.58 4.06, Val cost: 134.70s
[11-26 21:26:23] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 21:26:37] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.829 (6.835), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 23:35:50, Finish: 2024-11-27 04:59
[11-26 21:26:37] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.829 (6.835), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 23:36:35, Finish: 2024-11-27 05:00
[11-26 21:26:37] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.829 (6.835), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 23:36:39, Finish: 2024-11-27 05:00
[11-26 21:26:37] (/home/user/VAR/train.py , line 276)=> [ep209] (training ) Lm: 6.829 (6.835), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 23:35:20, Finish: 2024-11-27 04:59
[11-26 21:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:09:44 tlr: 0.0001 tnm: 0.43 Lm: 6.887 (6.887) Lt: 6.189 (6.189) Accm: 2.59 (2.59) Acct: 4.34 (4.34) proj_loss: -0.6048 (-0.6048) time: 0.3504 data: 0.0004
[11-26 21:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:10:01 tlr: 0.0001 tnm: 0.43 Lm: 6.868 (6.868) Lt: 6.154 (6.154) Accm: 2.27 (2.27) Acct: 3.48 (3.48) proj_loss: -0.6014 (-0.6014) time: 0.3606 data: 0.0003
[11-26 21:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:09:43 tlr: 0.0001 tnm: 0.43 Lm: 6.933 (6.933) Lt: 6.303 (6.303) Accm: 2.33 (2.33) Acct: 3.55 (3.55) proj_loss: -0.5985 (-0.5985) time: 0.3497 data: 0.0004
[11-26 21:26:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 0/1669] eta: 0:09:46 tlr: 0.0001 tnm: 0.43 Lm: 6.875 (6.875) Lt: 6.193 (6.193) Accm: 2.56 (2.56) Acct: 4.01 (4.01) proj_loss: -0.5940 (-0.5940) time: 0.3513 data: 0.0004
[11-26 21:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:07:49 tlr: 0.0001 tnm: 0.44 Lm: 6.867 (6.867) Lt: 6.138 (6.138) Accm: 2.64 (2.64) Acct: 4.35 (4.35) proj_loss: -0.5936 (-0.5936) time: 0.3594 data: 0.0003
[11-26 21:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:07:49 tlr: 0.0001 tnm: 0.44 Lm: 6.832 (6.832) Lt: 6.131 (6.131) Accm: 2.41 (2.41) Acct: 3.65 (3.65) proj_loss: -0.5958 (-0.5958) time: 0.3594 data: 0.0002
[11-26 21:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:07:49 tlr: 0.0001 tnm: 0.44 Lm: 6.916 (6.916) Lt: 6.235 (6.235) Accm: 2.46 (2.46) Acct: 4.12 (4.12) proj_loss: -0.5959 (-0.5959) time: 0.3594 data: 0.0003
[11-26 21:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 417/1669] eta: 0:07:49 tlr: 0.0001 tnm: 0.44 Lm: 6.863 (6.863) Lt: 6.184 (6.184) Accm: 2.51 (2.51) Acct: 3.92 (3.92) proj_loss: -0.5965 (-0.5965) time: 0.3594 data: 0.0003
[11-26 21:31:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:05:15 tlr: 0.0001 tnm: 0.42 Lm: 6.828 (6.852) Lt: 6.103 (6.157) Accm: 2.56 (2.53) Acct: 3.96 (3.93) proj_loss: -0.5944 (-0.5917) time: 0.4059 data: 0.0003
[11-26 21:31:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:05:15 tlr: 0.0001 tnm: 0.42 Lm: 6.921 (6.918) Lt: 6.208 (6.226) Accm: 2.32 (2.41) Acct: 3.89 (3.96) proj_loss: -0.5977 (-0.5965) time: 0.4059 data: 0.0003
[11-26 21:31:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:05:15 tlr: 0.0001 tnm: 0.42 Lm: 6.796 (6.808) Lt: 6.109 (6.104) Accm: 2.54 (2.51) Acct: 3.82 (3.90) proj_loss: -0.6014 (-0.6012) time: 0.4059 data: 0.0002
[11-26 21:31:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [ 834/1669] eta: 0:05:15 tlr: 0.0001 tnm: 0.42 Lm: 6.859 (6.856) Lt: 6.117 (6.131) Accm: 2.59 (2.62) Acct: 4.03 (4.24) proj_loss: -0.5940 (-0.5962) time: 0.4059 data: 0.0003
[11-26 21:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.46 Lm: 6.847 (6.828) Lt: 6.100 (6.100) Accm: 2.66 (2.67) Acct: 4.27 (4.31) proj_loss: -0.5936 (-0.5952) time: 0.3589 data: 0.0003
[11-26 21:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.46 Lm: 6.904 (6.877) Lt: 6.198 (6.174) Accm: 2.46 (2.47) Acct: 4.12 (4.08) proj_loss: -0.5988 (-0.5973) time: 0.3589 data: 0.0002
[11-26 21:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.46 Lm: 6.809 (6.812) Lt: 6.100 (6.101) Accm: 2.63 (2.58) Acct: 4.11 (4.08) proj_loss: -0.6066 (-0.6065) time: 0.3589 data: 0.0003
[11-26 21:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.46 Lm: 6.831 (6.847) Lt: 6.120 (6.152) Accm: 2.62 (2.57) Acct: 4.12 (4.05) proj_loss: -0.5965 (-0.5965) time: 0.3589 data: 0.0003
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.45 Lm: 6.834 (6.854) Lt: 6.137 (6.154) Accm: 2.56 (2.55) Acct: 3.96 (4.02) proj_loss: -0.5963 (-0.5964) time: 0.3632 data: 0.0020
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:10:21 (0.372 s / it)
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.45 Lm: 6.887 (6.852) Lt: 6.189 (6.148) Accm: 2.59 (2.52) Acct: 4.34 (4.13) proj_loss: -0.5977 (-0.5941) time: 0.3632 data: 0.0018
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.45 Lm: 6.835 (6.821) Lt: 6.084 (6.095) Accm: 2.71 (2.68) Acct: 4.27 (4.30) proj_loss: -0.5932 (-0.5944) time: 0.3632 data: 0.0016
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 210/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.45 Lm: 6.821 (6.834) Lt: 6.109 (6.114) Accm: 2.54 (2.53) Acct: 3.82 (4.02) proj_loss: -0.6014 (-0.5987) time: 0.3632 data: 0.0018
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:10:21 (0.372 s / it)
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:10:21 (0.372 s / it)
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 210/350] Total time: 0:10:21 (0.372 s / it)
[11-26 21:36:59] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.829 (6.839), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 23:25:05, Finish: 2024-11-27 05:02
[11-26 21:36:59] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.829 (6.839), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 23:25:25, Finish: 2024-11-27 05:02
[11-26 21:36:59] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.829 (6.839), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 23:25:28, Finish: 2024-11-27 05:02
[11-26 21:36:59] (/home/user/VAR/train.py , line 276)=> [ep210] (training ) Lm: 6.829 (6.839), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 23:24:53, Finish: 2024-11-27 05:01
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:09:30 tlr: 0.0001 tnm: 0.43 Lm: 6.859 (6.859) Lt: 6.154 (6.154) Accm: 2.63 (2.63) Acct: 4.10 (4.10) proj_loss: -0.6018 (-0.6018) time: 0.3418 data: 0.0004
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:09:32 tlr: 0.0001 tnm: 0.43 Lm: 6.791 (6.791) Lt: 6.063 (6.063) Accm: 2.80 (2.80) Acct: 4.58 (4.58) proj_loss: -0.5802 (-0.5802) time: 0.3433 data: 0.0003
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:10:16 tlr: 0.0001 tnm: 0.43 Lm: 6.845 (6.845) Lt: 6.158 (6.158) Accm: 2.57 (2.57) Acct: 4.01 (4.01) proj_loss: -0.5914 (-0.5914) time: 0.3691 data: 0.0004
[11-26 21:36:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 0/1669] eta: 0:09:34 tlr: 0.0001 tnm: 0.43 Lm: 6.825 (6.825) Lt: 6.060 (6.060) Accm: 2.55 (2.55) Acct: 4.06 (4.06) proj_loss: -0.5775 (-0.5775) time: 0.3440 data: 0.0004
[11-26 21:39:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.44 Lm: 6.895 (6.895) Lt: 6.197 (6.197) Accm: 2.33 (2.33) Acct: 3.60 (3.60) proj_loss: -0.5871 (-0.5871) time: 0.3605 data: 0.0003
[11-26 21:39:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.44 Lm: 6.829 (6.829) Lt: 6.109 (6.109) Accm: 2.60 (2.60) Acct: 4.12 (4.12) proj_loss: -0.5920 (-0.5920) time: 0.3604 data: 0.0003
[11-26 21:39:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.44 Lm: 6.827 (6.827) Lt: 6.135 (6.135) Accm: 2.47 (2.47) Acct: 3.84 (3.84) proj_loss: -0.5978 (-0.5978) time: 0.3605 data: 0.0003
[11-26 21:39:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 417/1669] eta: 0:07:34 tlr: 0.0001 tnm: 0.44 Lm: 6.892 (6.892) Lt: 6.194 (6.194) Accm: 2.52 (2.52) Acct: 3.94 (3.94) proj_loss: -0.5913 (-0.5913) time: 0.3605 data: 0.0003
[11-26 21:42:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.45 Lm: 6.841 (6.875) Lt: 6.091 (6.160) Accm: 2.36 (2.47) Acct: 3.82 (3.90) proj_loss: -0.5983 (-0.5937) time: 0.3621 data: 0.0003
[11-26 21:42:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.45 Lm: 6.859 (6.847) Lt: 6.154 (6.137) Accm: 2.56 (2.53) Acct: 4.10 (4.01) proj_loss: -0.5821 (-0.5839) time: 0.3621 data: 0.0003
[11-26 21:42:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.45 Lm: 6.845 (6.854) Lt: 6.158 (6.182) Accm: 2.57 (2.51) Acct: 4.01 (3.91) proj_loss: -0.6038 (-0.5998) time: 0.3621 data: 0.0003
[11-26 21:42:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.45 Lm: 6.965 (6.923) Lt: 6.299 (6.231) Accm: 2.32 (2.32) Acct: 3.65 (3.62) proj_loss: -0.5923 (-0.5889) time: 0.3621 data: 0.0003
[11-26 21:44:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:02:31 tlr: 0.0001 tnm: 0.46 Lm: 6.895 (6.850) Lt: 6.179 (6.153) Accm: 2.43 (2.49) Acct: 3.86 (3.92) proj_loss: -0.5945 (-0.5925) time: 0.3617 data: 0.0003
[11-26 21:44:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:02:31 tlr: 0.0001 tnm: 0.46 Lm: 6.836 (6.839) Lt: 6.109 (6.106) Accm: 2.60 (2.61) Acct: 4.12 (4.11) proj_loss: -0.5750 (-0.5777) time: 0.3617 data: 0.0002
[11-26 21:44:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:02:31 tlr: 0.0001 tnm: 0.46 Lm: 6.827 (6.860) Lt: 6.127 (6.160) Accm: 2.41 (2.46) Acct: 3.71 (3.83) proj_loss: -0.5999 (-0.5956) time: 0.3617 data: 0.0002
[11-26 21:44:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1251/1669] eta: 0:02:31 tlr: 0.0001 tnm: 0.46 Lm: 6.853 (6.856) Lt: 6.178 (6.186) Accm: 2.49 (2.49) Acct: 3.94 (3.90) proj_loss: -0.6040 (-0.6015) time: 0.3617 data: 0.0002
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.845 (6.834) Lt: 6.158 (6.158) Accm: 2.57 (2.59) Acct: 4.01 (4.05) proj_loss: -0.6038 (-0.5994) time: 0.3631 data: 0.0019
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:10:04 (0.362 s / it)
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.814 (6.798) Lt: 6.063 (6.068) Accm: 2.63 (2.67) Acct: 4.13 (4.17) proj_loss: -0.5821 (-0.5849) time: 0.3631 data: 0.0019
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.841 (6.896) Lt: 6.162 (6.209) Accm: 2.36 (2.39) Acct: 3.60 (3.71) proj_loss: -0.5983 (-0.5944) time: 0.3631 data: 0.0013
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 211/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.831 (6.847) Lt: 6.122 (6.147) Accm: 2.48 (2.49) Acct: 3.91 (3.92) proj_loss: -0.5923 (-0.5911) time: 0.3631 data: 0.0018
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:10:04 (0.362 s / it)
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:10:04 (0.362 s / it)
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 211/350] Total time: 0:10:04 (0.362 s / it)
[11-26 21:47:04] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.829 (6.841), Lt: 6.120 (6.139), Acc m&t: 2.60 4.12, Remain: 23:21:01, Finish: 2024-11-27 05:08
[11-26 21:47:04] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.829 (6.841), Lt: 6.120 (6.139), Acc m&t: 2.60 4.12, Remain: 23:21:01, Finish: 2024-11-27 05:08
[11-26 21:47:04] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.829 (6.841), Lt: 6.120 (6.139), Acc m&t: 2.60 4.12, Remain: 23:20:40, Finish: 2024-11-27 05:07
[11-26 21:47:04] (/home/user/VAR/train.py , line 276)=> [ep211] (training ) Lm: 6.829 (6.841), Lt: 6.120 (6.139), Acc m&t: 2.60 4.12, Remain: 23:21:12, Finish: 2024-11-27 05:08
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:09:40 tlr: 0.0001 tnm: 0.44 Lm: 6.772 (6.772) Lt: 6.087 (6.087) Accm: 2.88 (2.88) Acct: 4.61 (4.61) proj_loss: -0.6071 (-0.6071) time: 0.3477 data: 0.0003
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:09:41 tlr: 0.0001 tnm: 0.44 Lm: 6.821 (6.821) Lt: 6.060 (6.060) Accm: 2.48 (2.48) Acct: 4.27 (4.27) proj_loss: -0.5725 (-0.5725) time: 0.3486 data: 0.0004
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:09:42 tlr: 0.0001 tnm: 0.44 Lm: 6.808 (6.808) Lt: 6.058 (6.058) Accm: 2.50 (2.50) Acct: 3.99 (3.99) proj_loss: -0.5838 (-0.5838) time: 0.3491 data: 0.0004
[11-26 21:47:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 0/1669] eta: 0:10:09 tlr: 0.0001 tnm: 0.44 Lm: 6.804 (6.804) Lt: 6.077 (6.077) Accm: 2.54 (2.54) Acct: 4.06 (4.06) proj_loss: -0.5751 (-0.5751) time: 0.3652 data: 0.0003
[11-26 21:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:07:33 tlr: 0.0001 tnm: 0.44 Lm: 6.797 (6.797) Lt: 6.075 (6.075) Accm: 2.65 (2.65) Acct: 4.26 (4.26) proj_loss: -0.5712 (-0.5712) time: 0.3624 data: 0.0003
[11-26 21:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:07:33 tlr: 0.0001 tnm: 0.44 Lm: 6.878 (6.878) Lt: 6.194 (6.194) Accm: 2.49 (2.49) Acct: 4.05 (4.05) proj_loss: -0.5887 (-0.5887) time: 0.3624 data: 0.0003
[11-26 21:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:07:33 tlr: 0.0001 tnm: 0.44 Lm: 6.749 (6.749) Lt: 6.054 (6.054) Accm: 2.89 (2.89) Acct: 4.56 (4.56) proj_loss: -0.5986 (-0.5986) time: 0.3624 data: 0.0003
[11-26 21:49:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 417/1669] eta: 0:07:33 tlr: 0.0001 tnm: 0.44 Lm: 6.769 (6.769) Lt: 6.037 (6.037) Accm: 2.71 (2.71) Acct: 4.24 (4.24) proj_loss: -0.5888 (-0.5888) time: 0.3624 data: 0.0003
[11-26 21:52:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.44 Lm: 6.808 (6.799) Lt: 6.058 (6.069) Accm: 2.50 (2.60) Acct: 3.99 (4.14) proj_loss: -0.5937 (-0.5909) time: 0.3642 data: 0.0003
[11-26 21:52:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.44 Lm: 6.853 (6.870) Lt: 6.149 (6.179) Accm: 2.49 (2.52) Acct: 4.10 (4.06) proj_loss: -0.5725 (-0.5816) time: 0.3642 data: 0.0002
[11-26 21:52:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.44 Lm: 6.804 (6.825) Lt: 6.077 (6.103) Accm: 2.55 (2.62) Acct: 4.06 (4.14) proj_loss: -0.5751 (-0.5736) time: 0.3642 data: 0.0003
[11-26 21:52:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [ 834/1669] eta: 0:05:02 tlr: 0.0001 tnm: 0.44 Lm: 6.726 (6.741) Lt: 6.022 (6.037) Accm: 2.88 (2.86) Acct: 4.51 (4.52) proj_loss: -0.5900 (-0.5929) time: 0.3642 data: 0.0003
[11-26 21:54:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.45 Lm: 6.738 (6.743) Lt: 6.029 (6.037) Accm: 2.84 (2.82) Acct: 4.47 (4.49) proj_loss: -0.5958 (-0.5951) time: 0.4021 data: 0.0003
[11-26 21:54:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.45 Lm: 6.849 (6.864) Lt: 6.127 (6.160) Accm: 2.53 (2.55) Acct: 4.18 (4.13) proj_loss: -0.5783 (-0.5822) time: 0.4021 data: 0.0003
[11-26 21:54:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.45 Lm: 6.816 (6.805) Lt: 6.095 (6.084) Accm: 2.48 (2.57) Acct: 3.96 (4.01) proj_loss: -0.5894 (-0.5895) time: 0.4021 data: 0.0003
[11-26 21:54:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.45 Lm: 6.797 (6.797) Lt: 6.075 (6.065) Accm: 2.65 (2.75) Acct: 4.26 (4.32) proj_loss: -0.5768 (-0.5758) time: 0.4021 data: 0.0003
[11-26 21:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.804 (6.811) Lt: 6.077 (6.085) Accm: 2.55 (2.68) Acct: 4.06 (4.24) proj_loss: -0.5784 (-0.5783) time: 0.4043 data: 0.0020
[11-26 21:57:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:10:18 (0.371 s / it)
[11-26 21:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.824 (6.838) Lt: 6.132 (6.123) Accm: 2.47 (2.51) Acct: 3.93 (3.93) proj_loss: -0.5923 (-0.5900) time: 0.4043 data: 0.0021
[11-26 21:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.846 (6.847) Lt: 6.104 (6.133) Accm: 2.58 (2.56) Acct: 4.20 (4.15) proj_loss: -0.5794 (-0.5816) time: 0.4043 data: 0.0018
[11-26 21:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 212/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.751 (6.808) Lt: 6.037 (6.100) Accm: 2.80 (2.67) Acct: 4.42 (4.24) proj_loss: -0.5900 (-0.5886) time: 0.4043 data: 0.0018
[11-26 21:57:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:10:18 (0.371 s / it)
[11-26 21:57:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:10:18 (0.371 s / it)
[11-26 21:57:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 212/350] Total time: 0:10:18 (0.371 s / it)
[11-26 21:57:22] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.829 (6.838), Lt: 6.120 (6.130), Acc m&t: 2.60 4.12, Remain: 23:09:06, Finish: 2024-11-27 05:06
[11-26 21:57:22] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.829 (6.838), Lt: 6.120 (6.130), Acc m&t: 2.60 4.12, Remain: 23:09:08, Finish: 2024-11-27 05:06
[11-26 21:57:22] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.829 (6.838), Lt: 6.120 (6.130), Acc m&t: 2.60 4.12, Remain: 23:08:26, Finish: 2024-11-27 05:05
[11-26 21:57:22] (/home/user/VAR/train.py , line 276)=> [ep212] (training ) Lm: 6.829 (6.838), Lt: 6.120 (6.130), Acc m&t: 2.60 4.12, Remain: 23:08:24, Finish: 2024-11-27 05:05
[11-26 21:57:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:09:51 tlr: 0.0001 tnm: 0.46 Lm: 6.926 (6.926) Lt: 6.210 (6.210) Accm: 2.24 (2.24) Acct: 3.53 (3.53) proj_loss: -0.5733 (-0.5733) time: 0.3545 data: 0.0004
[11-26 21:57:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:09:52 tlr: 0.0001 tnm: 0.46 Lm: 6.877 (6.877) Lt: 6.183 (6.183) Accm: 2.40 (2.40) Acct: 4.03 (4.03) proj_loss: -0.5989 (-0.5989) time: 0.3552 data: 0.0004
[11-26 21:57:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:09:53 tlr: 0.0001 tnm: 0.46 Lm: 6.671 (6.671) Lt: 5.943 (5.943) Accm: 3.23 (3.23) Acct: 5.37 (5.37) proj_loss: -0.5964 (-0.5964) time: 0.3554 data: 0.0004
[11-26 21:57:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 0.46 Lm: 6.930 (6.930) Lt: 6.251 (6.251) Accm: 2.52 (2.52) Acct: 4.10 (4.10) proj_loss: -0.6027 (-0.6027) time: 0.3524 data: 0.0004
[11-26 22:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:07:52 tlr: 0.0001 tnm: 0.44 Lm: 6.877 (6.877) Lt: 6.199 (6.199) Accm: 2.58 (2.58) Acct: 4.06 (4.06) proj_loss: -0.6013 (-0.6013) time: 0.3599 data: 0.0003
[11-26 22:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:07:52 tlr: 0.0001 tnm: 0.44 Lm: 6.896 (6.896) Lt: 6.190 (6.190) Accm: 2.38 (2.38) Acct: 3.87 (3.87) proj_loss: -0.5997 (-0.5997) time: 0.3599 data: 0.0003
[11-26 22:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:07:52 tlr: 0.0001 tnm: 0.44 Lm: 6.836 (6.836) Lt: 6.136 (6.136) Accm: 2.48 (2.48) Acct: 4.07 (4.07) proj_loss: -0.5937 (-0.5937) time: 0.3599 data: 0.0003
[11-26 22:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 417/1669] eta: 0:07:52 tlr: 0.0001 tnm: 0.44 Lm: 6.799 (6.799) Lt: 6.086 (6.086) Accm: 2.82 (2.82) Acct: 4.49 (4.49) proj_loss: -0.5975 (-0.5975) time: 0.3599 data: 0.0003
[11-26 22:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:05:14 tlr: 0.0001 tnm: 0.44 Lm: 6.671 (6.742) Lt: 5.943 (6.019) Accm: 3.15 (2.93) Acct: 5.15 (4.71) proj_loss: -0.5964 (-0.5930) time: 0.4028 data: 0.0003
[11-26 22:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:05:14 tlr: 0.0001 tnm: 0.44 Lm: 6.926 (6.872) Lt: 6.210 (6.183) Accm: 2.29 (2.42) Acct: 3.53 (3.89) proj_loss: -0.5792 (-0.5888) time: 0.4028 data: 0.0002
[11-26 22:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:05:14 tlr: 0.0001 tnm: 0.44 Lm: 6.877 (6.869) Lt: 6.183 (6.159) Accm: 2.40 (2.50) Acct: 4.03 (4.01) proj_loss: -0.5999 (-0.5997) time: 0.4028 data: 0.0003
[11-26 22:02:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [ 834/1669] eta: 0:05:14 tlr: 0.0001 tnm: 0.44 Lm: 6.879 (6.877) Lt: 6.209 (6.202) Accm: 2.59 (2.58) Acct: 4.10 (4.12) proj_loss: -0.5999 (-0.5982) time: 0.4028 data: 0.0003
[11-26 22:05:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.46 Lm: 6.888 (6.882) Lt: 6.211 (6.205) Accm: 2.56 (2.57) Acct: 4.06 (4.02) proj_loss: -0.5959 (-0.5933) time: 0.3618 data: 0.0003
[11-26 22:05:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.46 Lm: 6.845 (6.840) Lt: 6.140 (6.135) Accm: 2.56 (2.56) Acct: 4.16 (4.08) proj_loss: -0.5994 (-0.5982) time: 0.3618 data: 0.0002
[11-26 22:05:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.46 Lm: 6.900 (6.873) Lt: 6.192 (6.181) Accm: 2.37 (2.43) Acct: 3.81 (3.93) proj_loss: -0.5918 (-0.5927) time: 0.3618 data: 0.0002
[11-26 22:05:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.46 Lm: 6.793 (6.785) Lt: 6.086 (6.072) Accm: 2.78 (2.80) Acct: 4.43 (4.46) proj_loss: -0.5973 (-0.5943) time: 0.3618 data: 0.0003
[11-26 22:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.878 (6.804) Lt: 6.195 (6.097) Accm: 2.41 (2.70) Acct: 3.72 (4.20) proj_loss: -0.5981 (-0.5968) time: 0.3609 data: 0.0016
[11-26 22:07:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:10:17 (0.370 s / it)
[11-26 22:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.813 (6.821) Lt: 6.097 (6.118) Accm: 2.73 (2.63) Acct: 4.29 (4.16) proj_loss: -0.5989 (-0.5983) time: 0.3609 data: 0.0017
[11-26 22:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.926 (6.896) Lt: 6.210 (6.204) Accm: 2.29 (2.36) Acct: 3.53 (3.83) proj_loss: -0.5848 (-0.5912) time: 0.3609 data: 0.0019
[11-26 22:07:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 213/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.44 Lm: 6.879 (6.876) Lt: 6.209 (6.184) Accm: 2.53 (2.55) Acct: 4.03 (3.98) proj_loss: -0.5919 (-0.5915) time: 0.3609 data: 0.0019
[11-26 22:07:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:10:17 (0.370 s / it)
[11-26 22:07:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:10:17 (0.370 s / it)
[11-26 22:07:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 213/350] Total time: 0:10:17 (0.370 s / it)
[11-26 22:07:40] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.129), Acc m&t: 2.60 4.12, Remain: 22:54:09, Finish: 2024-11-27 05:01
[11-26 22:07:40] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.129), Acc m&t: 2.60 4.12, Remain: 22:55:06, Finish: 2024-11-27 05:02
[11-26 22:07:40] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.129), Acc m&t: 2.60 4.12, Remain: 22:54:04, Finish: 2024-11-27 05:01
[11-26 22:07:40] (/home/user/VAR/train.py , line 276)=> [ep213] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.129), Acc m&t: 2.60 4.12, Remain: 22:53:54, Finish: 2024-11-27 05:01
[11-26 22:07:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:09:47 tlr: 0.0001 tnm: 0.45 Lm: 6.865 (6.865) Lt: 6.155 (6.155) Accm: 2.48 (2.48) Acct: 3.82 (3.82) proj_loss: -0.5613 (-0.5613) time: 0.3522 data: 0.0003
[11-26 22:07:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 0.45 Lm: 6.960 (6.960) Lt: 6.288 (6.288) Accm: 2.13 (2.13) Acct: 3.34 (3.34) proj_loss: -0.5797 (-0.5797) time: 0.3526 data: 0.0003
[11-26 22:07:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:09:48 tlr: 0.0001 tnm: 0.45 Lm: 6.996 (6.996) Lt: 6.357 (6.357) Accm: 2.13 (2.13) Acct: 3.43 (3.43) proj_loss: -0.5891 (-0.5891) time: 0.3528 data: 0.0003
[11-26 22:07:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 0/1669] eta: 0:09:47 tlr: 0.0001 tnm: 0.45 Lm: 6.903 (6.903) Lt: 6.160 (6.160) Accm: 2.40 (2.40) Acct: 3.60 (3.60) proj_loss: -0.5744 (-0.5744) time: 0.3520 data: 0.0003
[11-26 22:10:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:07:31 tlr: 0.0001 tnm: 0.46 Lm: 6.862 (6.862) Lt: 6.144 (6.144) Accm: 2.51 (2.51) Acct: 3.82 (3.82) proj_loss: -0.5917 (-0.5917) time: 0.3589 data: 0.0003
[11-26 22:10:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:07:31 tlr: 0.0001 tnm: 0.46 Lm: 6.913 (6.913) Lt: 6.226 (6.226) Accm: 2.31 (2.31) Acct: 3.79 (3.79) proj_loss: -0.5879 (-0.5879) time: 0.3589 data: 0.0003
[11-26 22:10:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:07:31 tlr: 0.0001 tnm: 0.46 Lm: 6.868 (6.868) Lt: 6.184 (6.184) Accm: 2.48 (2.48) Acct: 3.87 (3.87) proj_loss: -0.5823 (-0.5823) time: 0.3589 data: 0.0003
[11-26 22:10:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 417/1669] eta: 0:07:31 tlr: 0.0001 tnm: 0.46 Lm: 6.939 (6.939) Lt: 6.270 (6.270) Accm: 2.27 (2.27) Acct: 3.59 (3.59) proj_loss: -0.5891 (-0.5891) time: 0.3589 data: 0.0003
[11-26 22:12:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:05:01 tlr: 0.0001 tnm: 0.45 Lm: 6.882 (6.856) Lt: 6.183 (6.157) Accm: 2.40 (2.50) Acct: 3.75 (4.01) proj_loss: -0.5892 (-0.5908) time: 0.3614 data: 0.0003
[11-26 22:12:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:05:01 tlr: 0.0001 tnm: 0.45 Lm: 6.865 (6.825) Lt: 6.155 (6.119) Accm: 2.48 (2.59) Acct: 3.91 (4.07) proj_loss: -0.6033 (-0.5899) time: 0.3614 data: 0.0003
[11-26 22:12:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:05:01 tlr: 0.0001 tnm: 0.45 Lm: 6.903 (6.891) Lt: 6.160 (6.173) Accm: 2.45 (2.49) Acct: 3.84 (3.83) proj_loss: -0.5973 (-0.5936) time: 0.3614 data: 0.0002
[11-26 22:12:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [ 834/1669] eta: 0:05:01 tlr: 0.0001 tnm: 0.45 Lm: 6.865 (6.878) Lt: 6.163 (6.199) Accm: 2.50 (2.47) Acct: 4.24 (3.99) proj_loss: -0.5885 (-0.5881) time: 0.3614 data: 0.0003
[11-26 22:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:02:30 tlr: 0.0001 tnm: 0.46 Lm: 6.838 (6.858) Lt: 6.155 (6.179) Accm: 2.53 (2.49) Acct: 4.07 (3.97) proj_loss: -0.5912 (-0.5896) time: 0.3622 data: 0.0003
[11-26 22:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:02:30 tlr: 0.0001 tnm: 0.46 Lm: 6.851 (6.828) Lt: 6.144 (6.123) Accm: 2.48 (2.56) Acct: 3.87 (3.99) proj_loss: -0.6009 (-0.5921) time: 0.3622 data: 0.0002
[11-26 22:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:02:30 tlr: 0.0001 tnm: 0.46 Lm: 6.862 (6.843) Lt: 6.144 (6.118) Accm: 2.53 (2.60) Acct: 3.94 (3.98) proj_loss: -0.5933 (-0.5925) time: 0.3622 data: 0.0003
[11-26 22:15:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1251/1669] eta: 0:02:30 tlr: 0.0001 tnm: 0.46 Lm: 6.929 (6.886) Lt: 6.262 (6.203) Accm: 2.31 (2.42) Acct: 3.61 (3.87) proj_loss: -0.5905 (-0.5911) time: 0.3622 data: 0.0003
[11-26 22:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.43 Lm: 6.882 (6.875) Lt: 6.183 (6.186) Accm: 2.40 (2.46) Acct: 3.75 (3.95) proj_loss: -0.5892 (-0.5894) time: 0.3620 data: 0.0018
[11-26 22:17:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:10:02 (0.361 s / it)
[11-26 22:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.43 Lm: 6.903 (6.856) Lt: 6.160 (6.137) Accm: 2.45 (2.57) Acct: 3.84 (3.95) proj_loss: -0.5894 (-0.5903) time: 0.3620 data: 0.0015
[11-26 22:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.43 Lm: 6.865 (6.847) Lt: 6.155 (6.148) Accm: 2.48 (2.50) Acct: 3.82 (3.93) proj_loss: -0.5985 (-0.5926) time: 0.3620 data: 0.0016
[11-26 22:17:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 214/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.43 Lm: 6.865 (6.883) Lt: 6.163 (6.201) Accm: 2.50 (2.45) Acct: 3.91 (3.87) proj_loss: -0.5939 (-0.5905) time: 0.3620 data: 0.0018
[11-26 22:17:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:10:02 (0.361 s / it)
[11-26 22:17:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:10:02 (0.361 s / it)
[11-26 22:17:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 214/350] Total time: 0:10:02 (0.361 s / it)
[11-26 22:17:42] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.829 (6.838), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 22:44:49, Finish: 2024-11-27 05:02
[11-26 22:17:42] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.829 (6.838), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 22:45:25, Finish: 2024-11-27 05:03
[11-26 22:17:42] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.829 (6.838), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 22:44:52, Finish: 2024-11-27 05:02
[11-26 22:17:42] (/home/user/VAR/train.py , line 276)=> [ep214] (training ) Lm: 6.829 (6.838), Lt: 6.120 (6.137), Acc m&t: 2.60 4.12, Remain: 22:45:04, Finish: 2024-11-27 05:02
[11-26 22:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:10:00 tlr: 0.0001 tnm: 0.44 Lm: 6.800 (6.800) Lt: 6.070 (6.070) Accm: 2.83 (2.83) Acct: 4.53 (4.53) proj_loss: -0.5772 (-0.5772) time: 0.3597 data: 0.0003
[11-26 22:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:09:45 tlr: 0.0001 tnm: 0.44 Lm: 6.808 (6.808) Lt: 6.114 (6.114) Accm: 2.65 (2.65) Acct: 4.17 (4.17) proj_loss: -0.5664 (-0.5664) time: 0.3507 data: 0.0004
[11-26 22:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:09:46 tlr: 0.0001 tnm: 0.44 Lm: 7.006 (7.006) Lt: 6.358 (6.358) Accm: 2.30 (2.30) Acct: 3.50 (3.50) proj_loss: -0.6149 (-0.6149) time: 0.3515 data: 0.0003
[11-26 22:17:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 0/1669] eta: 0:09:46 tlr: 0.0001 tnm: 0.44 Lm: 6.788 (6.788) Lt: 6.113 (6.113) Accm: 2.72 (2.72) Acct: 4.10 (4.10) proj_loss: -0.5996 (-0.5996) time: 0.3514 data: 0.0004
[11-26 22:20:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:07:32 tlr: 0.0001 tnm: 0.46 Lm: 6.841 (6.841) Lt: 6.171 (6.171) Accm: 2.55 (2.55) Acct: 3.99 (3.99) proj_loss: -0.6006 (-0.6006) time: 0.3615 data: 0.0003
[11-26 22:20:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:07:32 tlr: 0.0001 tnm: 0.46 Lm: 6.855 (6.855) Lt: 6.176 (6.176) Accm: 2.50 (2.50) Acct: 3.92 (3.92) proj_loss: -0.5846 (-0.5846) time: 0.3615 data: 0.0003
[11-26 22:20:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:07:32 tlr: 0.0001 tnm: 0.46 Lm: 6.732 (6.732) Lt: 6.007 (6.007) Accm: 2.81 (2.81) Acct: 4.50 (4.50) proj_loss: -0.5847 (-0.5847) time: 0.3615 data: 0.0003
[11-26 22:20:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 417/1669] eta: 0:07:32 tlr: 0.0001 tnm: 0.46 Lm: 6.938 (6.938) Lt: 6.273 (6.273) Accm: 2.43 (2.43) Acct: 3.91 (3.91) proj_loss: -0.6163 (-0.6163) time: 0.3616 data: 0.0003
[11-26 22:22:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:05:05 tlr: 0.0001 tnm: 0.46 Lm: 6.873 (6.916) Lt: 6.189 (6.236) Accm: 2.43 (2.43) Acct: 3.87 (3.90) proj_loss: -0.6149 (-0.6059) time: 0.3940 data: 0.0003
[11-26 22:22:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:05:05 tlr: 0.0001 tnm: 0.46 Lm: 6.830 (6.847) Lt: 6.131 (6.161) Accm: 2.48 (2.49) Acct: 3.93 (3.92) proj_loss: -0.5953 (-0.5882) time: 0.3940 data: 0.0002
[11-26 22:22:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:05:05 tlr: 0.0001 tnm: 0.46 Lm: 6.800 (6.764) Lt: 6.070 (6.054) Accm: 2.80 (2.76) Acct: 4.48 (4.32) proj_loss: -0.5897 (-0.5864) time: 0.3940 data: 0.0002
[11-26 22:22:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [ 834/1669] eta: 0:05:05 tlr: 0.0001 tnm: 0.46 Lm: 6.823 (6.835) Lt: 6.116 (6.152) Accm: 2.62 (2.57) Acct: 4.10 (4.07) proj_loss: -0.5996 (-0.5922) time: 0.3940 data: 0.0003
[11-26 22:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.44 Lm: 6.858 (6.878) Lt: 6.172 (6.195) Accm: 2.49 (2.44) Acct: 3.99 (3.84) proj_loss: -0.5999 (-0.5942) time: 0.3623 data: 0.0002
[11-26 22:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.44 Lm: 6.814 (6.811) Lt: 6.110 (6.106) Accm: 2.72 (2.69) Acct: 4.22 (4.22) proj_loss: -0.5909 (-0.5924) time: 0.3623 data: 0.0002
[11-26 22:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.44 Lm: 6.871 (6.888) Lt: 6.175 (6.191) Accm: 2.49 (2.46) Acct: 4.10 (4.02) proj_loss: -0.6036 (-0.6025) time: 0.3622 data: 0.0003
[11-26 22:25:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1251/1669] eta: 0:02:33 tlr: 0.0001 tnm: 0.44 Lm: 6.819 (6.834) Lt: 6.122 (6.138) Accm: 2.56 (2.55) Acct: 4.05 (4.06) proj_loss: -0.5944 (-0.5895) time: 0.3623 data: 0.0003
[11-26 22:28:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.808 (6.827) Lt: 6.125 (6.136) Accm: 2.64 (2.57) Acct: 4.17 (4.09) proj_loss: -0.5934 (-0.5891) time: 0.3635 data: 0.0021
[11-26 22:28:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:10:18 (0.371 s / it)
[11-26 22:28:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.838 (6.870) Lt: 6.181 (6.192) Accm: 2.37 (2.42) Acct: 3.89 (3.77) proj_loss: -0.5996 (-0.5936) time: 0.3635 data: 0.0017
[11-26 22:28:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.869 (6.871) Lt: 6.161 (6.159) Accm: 2.54 (2.49) Acct: 4.32 (4.10) proj_loss: -0.5987 (-0.6017) time: 0.3635 data: 0.0018
[11-26 22:28:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 215/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 0.46 Lm: 6.828 (6.815) Lt: 6.149 (6.116) Accm: 2.65 (2.64) Acct: 3.96 (4.13) proj_loss: -0.5922 (-0.5935) time: 0.3634 data: 0.0021
[11-26 22:28:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:10:18 (0.371 s / it)
[11-26 22:28:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:10:18 (0.371 s / it)
[11-26 22:28:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 215/350] Total time: 0:10:18 (0.371 s / it)
[11-26 22:28:01] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.829 (6.836), Lt: 6.120 (6.134), Acc m&t: 2.60 4.12, Remain: 22:42:10, Finish: 2024-11-27 05:10
[11-26 22:28:01] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.829 (6.836), Lt: 6.120 (6.134), Acc m&t: 2.60 4.12, Remain: 22:44:07, Finish: 2024-11-27 05:12
[11-26 22:28:01] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.829 (6.836), Lt: 6.120 (6.134), Acc m&t: 2.60 4.12, Remain: 22:43:22, Finish: 2024-11-27 05:11
[11-26 22:28:01] (/home/user/VAR/train.py , line 276)=> [ep215] (training ) Lm: 6.829 (6.836), Lt: 6.120 (6.134), Acc m&t: 2.60 4.12, Remain: 22:41:23, Finish: 2024-11-27 05:09
[11-26 22:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:09:43 tlr: 0.0001 tnm: 0.44 Lm: 6.805 (6.805) Lt: 6.121 (6.121) Accm: 2.49 (2.49) Acct: 3.87 (3.87) proj_loss: -0.6047 (-0.6047) time: 0.3499 data: 0.0004
[11-26 22:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:09:45 tlr: 0.0001 tnm: 0.44 Lm: 6.767 (6.767) Lt: 6.067 (6.067) Accm: 2.60 (2.60) Acct: 4.20 (4.20) proj_loss: -0.5973 (-0.5973) time: 0.3506 data: 0.0004
[11-26 22:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:09:45 tlr: 0.0001 tnm: 0.44 Lm: 6.784 (6.784) Lt: 6.071 (6.071) Accm: 2.94 (2.94) Acct: 4.75 (4.75) proj_loss: -0.6116 (-0.6116) time: 0.3506 data: 0.0004
[11-26 22:28:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 0/1669] eta: 0:09:45 tlr: 0.0001 tnm: 0.44 Lm: 6.994 (6.994) Lt: 6.315 (6.315) Accm: 2.09 (2.09) Acct: 3.20 (3.20) proj_loss: -0.5846 (-0.5846) time: 0.3507 data: 0.0004
[11-26 22:30:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:08:00 tlr: 0.0001 tnm: 0.46 Lm: 6.902 (6.902) Lt: 6.217 (6.217) Accm: 2.32 (2.32) Acct: 3.47 (3.47) proj_loss: -0.5869 (-0.5869) time: 0.3594 data: 0.0002
[11-26 22:30:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:08:00 tlr: 0.0001 tnm: 0.46 Lm: 6.735 (6.735) Lt: 6.018 (6.018) Accm: 2.75 (2.75) Acct: 4.39 (4.39) proj_loss: -0.5950 (-0.5950) time: 0.3594 data: 0.0002
[11-26 22:30:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:08:00 tlr: 0.0001 tnm: 0.46 Lm: 6.793 (6.793) Lt: 6.074 (6.074) Accm: 2.56 (2.56) Acct: 4.14 (4.14) proj_loss: -0.5932 (-0.5932) time: 0.3594 data: 0.0003
[11-26 22:30:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 417/1669] eta: 0:08:00 tlr: 0.0001 tnm: 0.46 Lm: 6.758 (6.758) Lt: 6.035 (6.035) Accm: 2.80 (2.80) Acct: 4.54 (4.54) proj_loss: -0.6141 (-0.6141) time: 0.3594 data: 0.0003
[11-26 22:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:05:15 tlr: 0.0001 tnm: 0.45 Lm: 6.784 (6.769) Lt: 6.071 (6.057) Accm: 2.68 (2.76) Acct: 4.32 (4.42) proj_loss: -0.6116 (-0.6102) time: 0.3609 data: 0.0003
[11-26 22:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:05:15 tlr: 0.0001 tnm: 0.45 Lm: 6.767 (6.773) Lt: 6.067 (6.048) Accm: 2.60 (2.62) Acct: 4.20 (4.22) proj_loss: -0.5965 (-0.5943) time: 0.3609 data: 0.0003
[11-26 22:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:05:15 tlr: 0.0001 tnm: 0.45 Lm: 6.805 (6.787) Lt: 6.121 (6.066) Accm: 2.49 (2.66) Acct: 3.93 (4.24) proj_loss: -0.5905 (-0.5935) time: 0.3609 data: 0.0003
[11-26 22:33:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [ 834/1669] eta: 0:05:15 tlr: 0.0001 tnm: 0.45 Lm: 6.930 (6.911) Lt: 6.265 (6.233) Accm: 2.31 (2.32) Acct: 3.72 (3.55) proj_loss: -0.5892 (-0.5928) time: 0.3609 data: 0.0002
[11-26 22:35:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.45 Lm: 6.870 (6.884) Lt: 6.192 (6.194) Accm: 2.43 (2.50) Acct: 3.73 (3.81) proj_loss: -0.5869 (-0.5897) time: 0.3614 data: 0.0003
[11-26 22:35:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.45 Lm: 6.771 (6.774) Lt: 6.058 (6.048) Accm: 2.67 (2.66) Acct: 4.30 (4.32) proj_loss: -0.5928 (-0.5884) time: 0.3614 data: 0.0003
[11-26 22:35:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.45 Lm: 6.787 (6.801) Lt: 6.086 (6.096) Accm: 2.67 (2.69) Acct: 4.25 (4.25) proj_loss: -0.6076 (-0.6086) time: 0.3614 data: 0.0003
[11-26 22:35:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1251/1669] eta: 0:02:36 tlr: 0.0001 tnm: 0.45 Lm: 6.786 (6.782) Lt: 6.098 (6.068) Accm: 2.51 (2.63) Acct: 3.90 (4.13) proj_loss: -0.5920 (-0.5935) time: 0.3614 data: 0.0003
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.45 Lm: 6.805 (6.808) Lt: 6.121 (6.103) Accm: 2.49 (2.58) Acct: 3.87 (4.04) proj_loss: -0.5935 (-0.5947) time: 0.3642 data: 0.0015
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:10:19 (0.371 s / it)
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.45 Lm: 6.775 (6.781) Lt: 6.067 (6.058) Accm: 2.60 (2.65) Acct: 4.39 (4.35) proj_loss: -0.5890 (-0.5856) time: 0.3642 data: 0.0019
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.45 Lm: 6.809 (6.845) Lt: 6.119 (6.152) Accm: 2.55 (2.64) Acct: 3.74 (4.01) proj_loss: -0.5852 (-0.5888) time: 0.3642 data: 0.0020
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 216/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.45 Lm: 6.790 (6.803) Lt: 6.097 (6.096) Accm: 2.68 (2.69) Acct: 4.32 (4.27) proj_loss: -0.6036 (-0.6064) time: 0.3642 data: 0.0017
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:10:19 (0.371 s / it)
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:10:19 (0.371 s / it)
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 216/350] Total time: 0:10:19 (0.371 s / it)
[11-26 22:38:21] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.128), Acc m&t: 2.60 4.12, Remain: 22:36:17, Finish: 2024-11-27 05:14
[11-26 22:38:21] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.128), Acc m&t: 2.60 4.12, Remain: 22:36:18, Finish: 2024-11-27 05:14
[11-26 22:38:21] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.128), Acc m&t: 2.60 4.12, Remain: 22:36:11, Finish: 2024-11-27 05:14
[11-26 22:38:21] (/home/user/VAR/train.py , line 276)=> [ep216] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.128), Acc m&t: 2.60 4.12, Remain: 22:36:35, Finish: 2024-11-27 05:14
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:09:42 tlr: 9.9e-05 tnm: 0.44 Lm: 6.757 (6.757) Lt: 6.020 (6.020) Accm: 2.66 (2.66) Acct: 4.32 (4.32) proj_loss: -0.6135 (-0.6135) time: 0.3489 data: 0.0003
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:09:42 tlr: 9.9e-05 tnm: 0.44 Lm: 7.018 (7.018) Lt: 6.295 (6.295) Accm: 2.19 (2.19) Acct: 3.48 (3.48) proj_loss: -0.5824 (-0.5824) time: 0.3492 data: 0.0004
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:09:43 tlr: 9.9e-05 tnm: 0.44 Lm: 6.829 (6.829) Lt: 6.120 (6.120) Accm: 2.69 (2.69) Acct: 4.12 (4.12) proj_loss: -0.6030 (-0.6030) time: 0.3496 data: 0.0003
[11-26 22:38:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 0/1669] eta: 0:09:43 tlr: 9.9e-05 tnm: 0.44 Lm: 6.798 (6.798) Lt: 6.079 (6.079) Accm: 2.51 (2.51) Acct: 3.77 (3.77) proj_loss: -0.5895 (-0.5895) time: 0.3496 data: 0.0004
[11-26 22:40:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:07:31 tlr: 9.9e-05 tnm: 0.44 Lm: 6.742 (6.742) Lt: 6.062 (6.062) Accm: 2.68 (2.68) Acct: 4.08 (4.08) proj_loss: -0.6038 (-0.6038) time: 0.3592 data: 0.0003
[11-26 22:40:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:07:31 tlr: 9.9e-05 tnm: 0.44 Lm: 6.880 (6.880) Lt: 6.150 (6.150) Accm: 2.54 (2.54) Acct: 3.99 (3.99) proj_loss: -0.5864 (-0.5864) time: 0.3592 data: 0.0002
[11-26 22:40:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:07:31 tlr: 9.9e-05 tnm: 0.44 Lm: 6.767 (6.767) Lt: 6.055 (6.055) Accm: 2.65 (2.65) Acct: 4.16 (4.16) proj_loss: -0.6004 (-0.6004) time: 0.3592 data: 0.0002
[11-26 22:40:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 417/1669] eta: 0:07:31 tlr: 9.9e-05 tnm: 0.44 Lm: 6.817 (6.817) Lt: 6.125 (6.125) Accm: 2.66 (2.66) Acct: 4.06 (4.06) proj_loss: -0.5988 (-0.5988) time: 0.3592 data: 0.0003
[11-26 22:43:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:05:00 tlr: 9.9e-05 tnm: 0.43 Lm: 6.829 (6.840) Lt: 6.129 (6.135) Accm: 2.64 (2.61) Acct: 4.01 (4.01) proj_loss: -0.5946 (-0.5908) time: 0.3613 data: 0.0003
[11-26 22:43:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:05:00 tlr: 9.9e-05 tnm: 0.43 Lm: 6.798 (6.801) Lt: 6.079 (6.127) Accm: 2.51 (2.57) Acct: 3.77 (3.95) proj_loss: -0.5895 (-0.5959) time: 0.3613 data: 0.0003
[11-26 22:43:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:05:00 tlr: 9.9e-05 tnm: 0.43 Lm: 6.777 (6.804) Lt: 6.090 (6.087) Accm: 2.64 (2.61) Acct: 4.03 (4.12) proj_loss: -0.5872 (-0.5959) time: 0.3613 data: 0.0003
[11-26 22:43:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [ 834/1669] eta: 0:05:00 tlr: 9.9e-05 tnm: 0.43 Lm: 6.770 (6.843) Lt: 6.037 (6.112) Accm: 2.76 (2.62) Acct: 3.94 (3.97) proj_loss: -0.5824 (-0.5823) time: 0.3613 data: 0.0003
[11-26 22:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:02:30 tlr: 9.9e-05 tnm: 0.45 Lm: 6.803 (6.842) Lt: 6.100 (6.125) Accm: 2.63 (2.59) Acct: 3.87 (3.93) proj_loss: -0.5864 (-0.5886) time: 0.3599 data: 0.0003
[11-26 22:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:02:30 tlr: 9.9e-05 tnm: 0.45 Lm: 6.817 (6.830) Lt: 6.125 (6.116) Accm: 2.66 (2.65) Acct: 4.06 (4.07) proj_loss: -0.5888 (-0.5888) time: 0.3598 data: 0.0003
[11-26 22:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:02:30 tlr: 9.9e-05 tnm: 0.45 Lm: 6.767 (6.785) Lt: 6.062 (6.096) Accm: 2.68 (2.66) Acct: 4.08 (4.12) proj_loss: -0.5899 (-0.5945) time: 0.3599 data: 0.0003
[11-26 22:45:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1251/1669] eta: 0:02:30 tlr: 9.9e-05 tnm: 0.45 Lm: 6.827 (6.827) Lt: 6.120 (6.116) Accm: 2.58 (2.53) Acct: 4.01 (4.06) proj_loss: -0.5871 (-0.5922) time: 0.3599 data: 0.0003
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.47 Lm: 6.877 (6.857) Lt: 6.151 (6.142) Accm: 2.53 (2.44) Acct: 3.99 (3.94) proj_loss: -0.5870 (-0.5849) time: 0.3624 data: 0.0017
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:10:02 (0.361 s / it)
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.47 Lm: 6.807 (6.835) Lt: 6.107 (6.121) Accm: 2.76 (2.65) Acct: 3.94 (4.04) proj_loss: -0.5903 (-0.5924) time: 0.3624 data: 0.0017
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.47 Lm: 6.736 (6.768) Lt: 6.045 (6.058) Accm: 2.86 (2.72) Acct: 4.39 (4.24) proj_loss: -0.5895 (-0.5919) time: 0.3624 data: 0.0016
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 217/350] [1668/1669] eta: 0:00:00 tlr: 9.9e-05 tnm: 0.47 Lm: 6.829 (6.839) Lt: 6.129 (6.132) Accm: 2.64 (2.59) Acct: 4.01 (4.00) proj_loss: -0.5831 (-0.5876) time: 0.3624 data: 0.0016
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:10:02 (0.361 s / it)
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:10:02 (0.361 s / it)
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 217/350] Total time: 0:10:02 (0.361 s / it)
[11-26 22:48:23] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.829 (6.834), Lt: 6.120 (6.132), Acc m&t: 2.60 4.12, Remain: 22:15:55, Finish: 2024-11-27 05:04
[11-26 22:48:23] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.829 (6.834), Lt: 6.120 (6.132), Acc m&t: 2.60 4.12, Remain: 22:16:28, Finish: 2024-11-27 05:04
[11-26 22:48:23] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.829 (6.834), Lt: 6.120 (6.132), Acc m&t: 2.60 4.12, Remain: 22:17:19, Finish: 2024-11-27 05:05
[11-26 22:48:23] (/home/user/VAR/train.py , line 276)=> [ep217] (training ) Lm: 6.829 (6.834), Lt: 6.120 (6.132), Acc m&t: 2.60 4.12, Remain: 22:16:16, Finish: 2024-11-27 05:04
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:09:35 tlr: 9.9e-05 tnm: 0.45 Lm: 6.697 (6.697) Lt: 6.005 (6.005) Accm: 2.80 (2.80) Acct: 4.12 (4.12) proj_loss: -0.5887 (-0.5887) time: 0.3450 data: 0.0004
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:10:02 tlr: 9.9e-05 tnm: 0.45 Lm: 6.849 (6.849) Lt: 6.171 (6.171) Accm: 2.29 (2.29) Acct: 3.53 (3.53) proj_loss: -0.6024 (-0.6024) time: 0.3612 data: 0.0003
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:09:35 tlr: 9.9e-05 tnm: 0.45 Lm: 6.701 (6.701) Lt: 6.014 (6.014) Accm: 3.11 (3.11) Acct: 4.72 (4.72) proj_loss: -0.6142 (-0.6142) time: 0.3448 data: 0.0003
[11-26 22:48:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 0/1669] eta: 0:09:36 tlr: 9.9e-05 tnm: 0.45 Lm: 6.857 (6.857) Lt: 6.141 (6.141) Accm: 2.49 (2.49) Acct: 4.01 (4.01) proj_loss: -0.6004 (-0.6004) time: 0.3452 data: 0.0005
[11-26 22:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:07:32 tlr: 9.8e-05 tnm: 0.45 Lm: 6.903 (6.903) Lt: 6.215 (6.215) Accm: 2.51 (2.51) Acct: 3.99 (3.99) proj_loss: -0.5955 (-0.5955) time: 0.3655 data: 0.0003
[11-26 22:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:07:32 tlr: 9.8e-05 tnm: 0.45 Lm: 6.783 (6.783) Lt: 6.083 (6.083) Accm: 2.53 (2.53) Acct: 3.81 (3.81) proj_loss: -0.5931 (-0.5931) time: 0.3655 data: 0.0003
[11-26 22:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:07:32 tlr: 9.8e-05 tnm: 0.45 Lm: 6.865 (6.865) Lt: 6.193 (6.193) Accm: 2.40 (2.40) Acct: 3.65 (3.65) proj_loss: -0.6072 (-0.6072) time: 0.3655 data: 0.0003
[11-26 22:50:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 417/1669] eta: 0:07:32 tlr: 9.8e-05 tnm: 0.45 Lm: 6.760 (6.760) Lt: 6.080 (6.080) Accm: 2.92 (2.92) Acct: 4.53 (4.53) proj_loss: -0.6029 (-0.6029) time: 0.3655 data: 0.0003
[11-26 22:53:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:05:08 tlr: 9.8e-05 tnm: 0.46 Lm: 6.819 (6.798) Lt: 6.147 (6.115) Accm: 2.72 (2.70) Acct: 4.34 (4.18) proj_loss: -0.6049 (-0.6036) time: 0.4066 data: 0.0003
[11-26 22:53:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:05:08 tlr: 9.8e-05 tnm: 0.46 Lm: 6.855 (6.807) Lt: 6.139 (6.102) Accm: 2.62 (2.56) Acct: 4.12 (3.97) proj_loss: -0.5975 (-0.5956) time: 0.4066 data: 0.0002
[11-26 22:53:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:05:08 tlr: 9.8e-05 tnm: 0.46 Lm: 6.857 (6.865) Lt: 6.141 (6.164) Accm: 2.53 (2.59) Acct: 4.01 (4.14) proj_loss: -0.6004 (-0.5973) time: 0.4066 data: 0.0003
[11-26 22:53:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [ 834/1669] eta: 0:05:08 tlr: 9.8e-05 tnm: 0.46 Lm: 6.880 (6.880) Lt: 6.190 (6.192) Accm: 2.45 (2.42) Acct: 3.77 (3.80) proj_loss: -0.6024 (-0.6027) time: 0.4066 data: 0.0003
[11-26 22:56:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:02:35 tlr: 9.8e-05 tnm: 0.46 Lm: 6.872 (6.876) Lt: 6.180 (6.185) Accm: 2.48 (2.45) Acct: 3.81 (3.81) proj_loss: -0.5999 (-0.6014) time: 0.4072 data: 0.0003
[11-26 22:56:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:02:35 tlr: 9.8e-05 tnm: 0.46 Lm: 6.817 (6.802) Lt: 6.147 (6.123) Accm: 2.77 (2.73) Acct: 4.34 (4.22) proj_loss: -0.5983 (-0.6001) time: 0.4072 data: 0.0003
[11-26 22:56:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:02:35 tlr: 9.8e-05 tnm: 0.46 Lm: 6.862 (6.829) Lt: 6.150 (6.120) Accm: 2.49 (2.51) Acct: 3.95 (3.93) proj_loss: -0.5931 (-0.5924) time: 0.4072 data: 0.0003
[11-26 22:56:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1251/1669] eta: 0:02:35 tlr: 9.8e-05 tnm: 0.46 Lm: 6.872 (6.871) Lt: 6.171 (6.173) Accm: 2.54 (2.58) Acct: 3.99 (4.07) proj_loss: -0.5955 (-0.5895) time: 0.4072 data: 0.0003
[11-26 22:58:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.47 Lm: 6.857 (6.859) Lt: 6.141 (6.153) Accm: 2.53 (2.54) Acct: 4.01 (4.07) proj_loss: -0.5907 (-0.5869) time: 0.3643 data: 0.0017
[11-26 22:58:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:10:24 (0.374 s / it)
[11-26 22:58:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.47 Lm: 6.880 (6.884) Lt: 6.171 (6.182) Accm: 2.48 (2.46) Acct: 3.86 (3.87) proj_loss: -0.5975 (-0.5984) time: 0.3643 data: 0.0017
[11-26 22:58:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.47 Lm: 6.855 (6.804) Lt: 6.139 (6.102) Accm: 2.62 (2.60) Acct: 4.12 (4.01) proj_loss: -0.5937 (-0.5927) time: 0.3644 data: 0.0020
[11-26 22:58:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 218/350] [1668/1669] eta: 0:00:00 tlr: 9.8e-05 tnm: 0.47 Lm: 6.819 (6.832) Lt: 6.148 (6.159) Accm: 2.72 (2.69) Acct: 4.34 (4.15) proj_loss: -0.5917 (-0.5950) time: 0.3643 data: 0.0013
[11-26 22:58:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:10:24 (0.374 s / it)
[11-26 22:58:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:10:24 (0.374 s / it)
[11-26 22:58:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 218/350] Total time: 0:10:24 (0.374 s / it)
[11-26 22:58:47] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.135), Acc m&t: 2.60 4.12, Remain: 22:14:26, Finish: 2024-11-27 05:13
[11-26 22:58:47] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.135), Acc m&t: 2.60 4.12, Remain: 22:13:37, Finish: 2024-11-27 05:12
[11-26 22:58:47] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.135), Acc m&t: 2.60 4.12, Remain: 22:14:16, Finish: 2024-11-27 05:13
[11-26 22:58:47] (/home/user/VAR/train.py , line 276)=> [ep218] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.135), Acc m&t: 2.60 4.12, Remain: 22:13:53, Finish: 2024-11-27 05:12
[11-26 22:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:09:48 tlr: 9.8e-05 tnm: 0.50 Lm: 6.797 (6.797) Lt: 6.138 (6.138) Accm: 2.58 (2.58) Acct: 4.01 (4.01) proj_loss: -0.6069 (-0.6069) time: 0.3528 data: 0.0004
[11-26 22:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:09:48 tlr: 9.8e-05 tnm: 0.50 Lm: 6.810 (6.810) Lt: 6.129 (6.129) Accm: 2.62 (2.62) Acct: 4.01 (4.01) proj_loss: -0.5914 (-0.5914) time: 0.3523 data: 0.0003
[11-26 22:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:09:48 tlr: 9.8e-05 tnm: 0.50 Lm: 6.853 (6.853) Lt: 6.178 (6.178) Accm: 2.67 (2.67) Acct: 4.48 (4.48) proj_loss: -0.6137 (-0.6137) time: 0.3526 data: 0.0003
[11-26 22:58:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 0/1669] eta: 0:09:47 tlr: 9.8e-05 tnm: 0.50 Lm: 6.816 (6.816) Lt: 6.085 (6.085) Accm: 2.59 (2.59) Acct: 4.24 (4.24) proj_loss: -0.5775 (-0.5775) time: 0.3519 data: 0.0004
[11-26 23:01:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:07:55 tlr: 9.8e-05 tnm: 0.44 Lm: 6.773 (6.773) Lt: 6.035 (6.035) Accm: 2.79 (2.79) Acct: 4.46 (4.46) proj_loss: -0.5868 (-0.5868) time: 0.3644 data: 0.0002
[11-26 23:01:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:07:55 tlr: 9.8e-05 tnm: 0.44 Lm: 6.903 (6.903) Lt: 6.233 (6.233) Accm: 2.44 (2.44) Acct: 4.05 (4.05) proj_loss: -0.6108 (-0.6108) time: 0.3644 data: 0.0003
[11-26 23:01:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:07:55 tlr: 9.8e-05 tnm: 0.44 Lm: 6.889 (6.889) Lt: 6.202 (6.202) Accm: 2.38 (2.38) Acct: 3.73 (3.73) proj_loss: -0.5884 (-0.5884) time: 0.3644 data: 0.0003
[11-26 23:01:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 417/1669] eta: 0:07:55 tlr: 9.8e-05 tnm: 0.44 Lm: 6.828 (6.828) Lt: 6.166 (6.166) Accm: 2.56 (2.56) Acct: 3.93 (3.93) proj_loss: -0.5961 (-0.5961) time: 0.3644 data: 0.0002
[11-26 23:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:05:15 tlr: 9.8e-05 tnm: 0.45 Lm: 6.853 (6.855) Lt: 6.178 (6.173) Accm: 2.62 (2.50) Acct: 3.98 (4.02) proj_loss: -0.6079 (-0.6064) time: 0.3616 data: 0.0002
[11-26 23:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:05:15 tlr: 9.8e-05 tnm: 0.45 Lm: 6.797 (6.853) Lt: 6.138 (6.152) Accm: 2.58 (2.45) Acct: 4.01 (3.82) proj_loss: -0.6058 (-0.5942) time: 0.3616 data: 0.0002
[11-26 23:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:05:15 tlr: 9.8e-05 tnm: 0.45 Lm: 6.816 (6.807) Lt: 6.085 (6.062) Accm: 2.62 (2.73) Acct: 4.32 (4.41) proj_loss: -0.5846 (-0.5861) time: 0.3616 data: 0.0003
[11-26 23:04:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [ 834/1669] eta: 0:05:15 tlr: 9.8e-05 tnm: 0.45 Lm: 6.845 (6.918) Lt: 6.202 (6.243) Accm: 2.50 (2.43) Acct: 3.86 (3.74) proj_loss: -0.5914 (-0.5872) time: 0.3617 data: 0.0002
[11-26 23:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:02:35 tlr: 9.7e-05 tnm: 0.45 Lm: 6.835 (6.895) Lt: 6.170 (6.217) Accm: 2.56 (2.51) Acct: 3.93 (3.86) proj_loss: -0.5876 (-0.5863) time: 0.3588 data: 0.0002
[11-26 23:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:02:35 tlr: 9.7e-05 tnm: 0.45 Lm: 6.843 (6.823) Lt: 6.100 (6.089) Accm: 2.60 (2.69) Acct: 4.28 (4.34) proj_loss: -0.5878 (-0.5873) time: 0.3588 data: 0.0003
[11-26 23:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:02:35 tlr: 9.7e-05 tnm: 0.45 Lm: 6.828 (6.855) Lt: 6.146 (6.153) Accm: 2.56 (2.47) Acct: 4.00 (3.87) proj_loss: -0.6024 (-0.5954) time: 0.3589 data: 0.0003
[11-26 23:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1251/1669] eta: 0:02:35 tlr: 9.7e-05 tnm: 0.45 Lm: 6.805 (6.820) Lt: 6.120 (6.146) Accm: 2.65 (2.61) Acct: 4.13 (4.09) proj_loss: -0.6028 (-0.6021) time: 0.3589 data: 0.0003
[11-26 23:09:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.44 Lm: 6.763 (6.809) Lt: 6.062 (6.129) Accm: 2.67 (2.65) Acct: 4.29 (4.16) proj_loss: -0.6036 (-0.6024) time: 0.3624 data: 0.0015
[11-26 23:09:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:10:16 (0.369 s / it)
[11-26 23:09:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.44 Lm: 6.825 (6.868) Lt: 6.137 (6.192) Accm: 2.62 (2.54) Acct: 3.93 (3.87) proj_loss: -0.5914 (-0.5876) time: 0.3624 data: 0.0023
[11-26 23:09:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.44 Lm: 6.866 (6.831) Lt: 6.116 (6.107) Accm: 2.59 (2.66) Acct: 4.24 (4.27) proj_loss: -0.5910 (-0.5888) time: 0.3624 data: 0.0014
[11-26 23:09:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 219/350] [1668/1669] eta: 0:00:00 tlr: 9.7e-05 tnm: 0.44 Lm: 6.811 (6.846) Lt: 6.155 (6.155) Accm: 2.58 (2.52) Acct: 4.01 (3.91) proj_loss: -0.5990 (-0.5950) time: 0.3624 data: 0.0020
[11-26 23:09:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:10:16 (0.369 s / it)
[11-26 23:09:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:10:16 (0.369 s / it)
[11-26 23:09:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 219/350] Total time: 0:10:16 (0.369 s / it)
[11-26 23:11:17] (home/user/VAR/trainer.py, line 114)=> FID: 4.319094193988917
[11-26 23:11:17] (/home/user/VAR/train.py , line 259)=> [*] [ep219] (val 50000) Lm: 6.8341, Lt: 6.1311, Acc m&t: 2.59 4.07, Val cost: 133.28s
[11-26 23:11:17] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-26 23:11:32] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.829 (6.834), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 21:56:35, Finish: 2024-11-27 05:05
[11-26 23:11:32] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.829 (6.834), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 21:56:12, Finish: 2024-11-27 05:05
[11-26 23:11:32] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.829 (6.834), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 21:56:28, Finish: 2024-11-27 05:05
[11-26 23:11:32] (/home/user/VAR/train.py , line 276)=> [ep219] (training ) Lm: 6.829 (6.834), Lt: 6.120 (6.131), Acc m&t: 2.60 4.12, Remain: 21:55:57, Finish: 2024-11-27 05:05
[11-26 23:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:09:50 tlr: 9.7e-05 tnm: 0.48 Lm: 6.850 (6.850) Lt: 6.194 (6.194) Accm: 2.51 (2.51) Acct: 3.86 (3.86) proj_loss: -0.5934 (-0.5934) time: 0.3538 data: 0.0003
[11-26 23:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:09:48 tlr: 9.7e-05 tnm: 0.48 Lm: 6.883 (6.883) Lt: 6.217 (6.217) Accm: 2.56 (2.56) Acct: 4.01 (4.01) proj_loss: -0.5936 (-0.5936) time: 0.3526 data: 0.0004
[11-26 23:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:10:01 tlr: 9.7e-05 tnm: 0.48 Lm: 6.894 (6.894) Lt: 6.189 (6.189) Accm: 2.08 (2.08) Acct: 3.58 (3.58) proj_loss: -0.5819 (-0.5819) time: 0.3605 data: 0.0004
[11-26 23:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 0/1669] eta: 0:09:49 tlr: 9.7e-05 tnm: 0.48 Lm: 6.741 (6.741) Lt: 6.040 (6.040) Accm: 2.99 (2.99) Acct: 4.82 (4.82) proj_loss: -0.5954 (-0.5954) time: 0.3534 data: 0.0004
[11-26 23:14:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:07:32 tlr: 9.7e-05 tnm: 0.46 Lm: 6.806 (6.806) Lt: 6.083 (6.083) Accm: 2.68 (2.68) Acct: 4.37 (4.37) proj_loss: -0.5951 (-0.5951) time: 0.3609 data: 0.0003
[11-26 23:14:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:07:32 tlr: 9.7e-05 tnm: 0.46 Lm: 6.799 (6.799) Lt: 6.131 (6.131) Accm: 2.77 (2.77) Acct: 4.24 (4.24) proj_loss: -0.5957 (-0.5957) time: 0.3610 data: 0.0003
[11-26 23:14:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:07:32 tlr: 9.7e-05 tnm: 0.46 Lm: 6.878 (6.878) Lt: 6.195 (6.195) Accm: 2.49 (2.49) Acct: 4.12 (4.12) proj_loss: -0.5902 (-0.5902) time: 0.3610 data: 0.0003
[11-26 23:14:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 417/1669] eta: 0:07:32 tlr: 9.7e-05 tnm: 0.46 Lm: 6.939 (6.939) Lt: 6.263 (6.263) Accm: 2.33 (2.33) Acct: 3.65 (3.65) proj_loss: -0.5814 (-0.5814) time: 0.3609 data: 0.0003
[11-26 23:16:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:05:01 tlr: 9.7e-05 tnm: 0.44 Lm: 6.850 (6.827) Lt: 6.194 (6.129) Accm: 2.51 (2.74) Acct: 3.86 (4.35) proj_loss: -0.5934 (-0.5882) time: 0.3618 data: 0.0003
[11-26 23:16:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:05:01 tlr: 9.7e-05 tnm: 0.44 Lm: 6.727 (6.775) Lt: 6.046 (6.096) Accm: 2.90 (2.81) Acct: 4.46 (4.32) proj_loss: -0.5936 (-0.5893) time: 0.3618 data: 0.0003
[11-26 23:16:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:05:01 tlr: 9.7e-05 tnm: 0.44 Lm: 6.862 (6.835) Lt: 6.189 (6.150) Accm: 2.71 (2.57) Acct: 4.17 (4.14) proj_loss: -0.5985 (-0.6005) time: 0.3618 data: 0.0003
[11-26 23:16:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [ 834/1669] eta: 0:05:01 tlr: 9.7e-05 tnm: 0.44 Lm: 6.871 (6.837) Lt: 6.126 (6.119) Accm: 2.62 (2.66) Acct: 4.17 (4.30) proj_loss: -0.5948 (-0.5941) time: 0.3619 data: 0.0003
[11-26 23:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:02:31 tlr: 9.7e-05 tnm: 0.47 Lm: 6.855 (6.837) Lt: 6.154 (6.134) Accm: 2.49 (2.59) Acct: 4.05 (4.12) proj_loss: -0.5951 (-0.5964) time: 0.3645 data: 0.0003
[11-26 23:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:02:31 tlr: 9.7e-05 tnm: 0.47 Lm: 6.795 (6.797) Lt: 6.113 (6.117) Accm: 2.73 (2.73) Acct: 4.28 (4.26) proj_loss: -0.5957 (-0.5928) time: 0.3645 data: 0.0003
[11-26 23:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:02:31 tlr: 9.7e-05 tnm: 0.47 Lm: 6.816 (6.819) Lt: 6.143 (6.137) Accm: 2.72 (2.61) Acct: 4.15 (4.14) proj_loss: -0.6020 (-0.6018) time: 0.3645 data: 0.0003
[11-26 23:19:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1251/1669] eta: 0:02:31 tlr: 9.7e-05 tnm: 0.47 Lm: 6.837 (6.826) Lt: 6.167 (6.132) Accm: 2.67 (2.76) Acct: 4.09 (4.34) proj_loss: -0.5977 (-0.5920) time: 0.3646 data: 0.0003
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.850 (6.837) Lt: 6.194 (6.146) Accm: 2.62 (2.73) Acct: 4.25 (4.33) proj_loss: -0.6012 (-0.5938) time: 0.3633 data: 0.0017
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:10:03 (0.362 s / it)
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.863 (6.816) Lt: 6.180 (6.136) Accm: 2.56 (2.64) Acct: 4.10 (4.10) proj_loss: -0.5978 (-0.5961) time: 0.3633 data: 0.0020
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.871 (6.853) Lt: 6.181 (6.148) Accm: 2.37 (2.52) Acct: 3.93 (4.06) proj_loss: -0.5948 (-0.5947) time: 0.3633 data: 0.0019
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 220/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.811 (6.817) Lt: 6.128 (6.135) Accm: 2.71 (2.60) Acct: 4.13 (4.09) proj_loss: -0.5985 (-0.5998) time: 0.3633 data: 0.0017
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:10:03 (0.362 s / it)
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:10:03 (0.362 s / it)
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 220/350] Total time: 0:10:03 (0.362 s / it)
[11-26 23:21:36] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.829 (6.840), Lt: 6.120 (6.140), Acc m&t: 2.60 4.12, Remain: 21:50:53, Finish: 2024-11-27 05:12
[11-26 23:21:36] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.829 (6.840), Lt: 6.120 (6.140), Acc m&t: 2.60 4.12, Remain: 21:50:39, Finish: 2024-11-27 05:12
[11-26 23:21:36] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.829 (6.840), Lt: 6.120 (6.140), Acc m&t: 2.60 4.12, Remain: 21:49:59, Finish: 2024-11-27 05:11
[11-26 23:21:36] (/home/user/VAR/train.py , line 276)=> [ep220] (training ) Lm: 6.829 (6.840), Lt: 6.120 (6.140), Acc m&t: 2.60 4.12, Remain: 21:50:12, Finish: 2024-11-27 05:11
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:09:38 tlr: 9.6e-05 tnm: 0.47 Lm: 6.720 (6.720) Lt: 5.969 (5.969) Accm: 2.93 (2.93) Acct: 4.89 (4.89) proj_loss: -0.6061 (-0.6061) time: 0.3466 data: 0.0003
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:09:39 tlr: 9.6e-05 tnm: 0.47 Lm: 6.788 (6.788) Lt: 6.094 (6.094) Accm: 2.54 (2.54) Acct: 3.96 (3.96) proj_loss: -0.6045 (-0.6045) time: 0.3470 data: 0.0004
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:09:38 tlr: 9.6e-05 tnm: 0.47 Lm: 6.862 (6.862) Lt: 6.167 (6.167) Accm: 2.53 (2.53) Acct: 3.87 (3.87) proj_loss: -0.5794 (-0.5794) time: 0.3468 data: 0.0004
[11-26 23:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 0/1669] eta: 0:09:55 tlr: 9.6e-05 tnm: 0.47 Lm: 6.957 (6.957) Lt: 6.291 (6.291) Accm: 2.42 (2.42) Acct: 3.63 (3.63) proj_loss: -0.5864 (-0.5864) time: 0.3570 data: 0.0003
[11-26 23:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:07:45 tlr: 9.6e-05 tnm: 0.44 Lm: 6.894 (6.894) Lt: 6.191 (6.191) Accm: 2.45 (2.45) Acct: 3.76 (3.76) proj_loss: -0.5937 (-0.5937) time: 0.4119 data: 0.0003
[11-26 23:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:07:45 tlr: 9.6e-05 tnm: 0.44 Lm: 6.751 (6.751) Lt: 6.005 (6.005) Accm: 2.76 (2.76) Acct: 4.60 (4.60) proj_loss: -0.6017 (-0.6017) time: 0.4119 data: 0.0002
[11-26 23:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:07:45 tlr: 9.6e-05 tnm: 0.44 Lm: 6.881 (6.881) Lt: 6.183 (6.183) Accm: 2.53 (2.53) Acct: 3.85 (3.85) proj_loss: -0.5847 (-0.5847) time: 0.4119 data: 0.0003
[11-26 23:24:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 417/1669] eta: 0:07:45 tlr: 9.6e-05 tnm: 0.44 Lm: 6.770 (6.770) Lt: 6.075 (6.075) Accm: 2.55 (2.55) Acct: 3.97 (3.97) proj_loss: -0.6065 (-0.6065) time: 0.4119 data: 0.0003
[11-26 23:26:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:05:11 tlr: 9.6e-05 tnm: 0.44 Lm: 6.752 (6.746) Lt: 6.056 (6.041) Accm: 2.56 (2.59) Acct: 3.98 (4.05) proj_loss: -0.6045 (-0.6008) time: 0.3623 data: 0.0003
[11-26 23:26:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:05:11 tlr: 9.6e-05 tnm: 0.44 Lm: 6.957 (6.937) Lt: 6.291 (6.226) Accm: 2.42 (2.40) Acct: 3.68 (3.74) proj_loss: -0.5940 (-0.5938) time: 0.3623 data: 0.0003
[11-26 23:26:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:05:11 tlr: 9.6e-05 tnm: 0.44 Lm: 6.783 (6.829) Lt: 6.042 (6.113) Accm: 2.60 (2.52) Acct: 4.30 (4.15) proj_loss: -0.5992 (-0.6009) time: 0.3623 data: 0.0004
[11-26 23:26:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [ 834/1669] eta: 0:05:11 tlr: 9.6e-05 tnm: 0.44 Lm: 6.862 (6.861) Lt: 6.167 (6.170) Accm: 2.53 (2.61) Acct: 3.87 (3.99) proj_loss: -0.5886 (-0.5860) time: 0.3623 data: 0.0003
[11-26 23:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:02:37 tlr: 9.6e-05 tnm: 0.44 Lm: 6.870 (6.865) Lt: 6.159 (6.165) Accm: 2.55 (2.60) Acct: 4.01 (4.03) proj_loss: -0.5893 (-0.5885) time: 0.4046 data: 0.0003
[11-26 23:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:02:37 tlr: 9.6e-05 tnm: 0.44 Lm: 6.806 (6.829) Lt: 6.068 (6.108) Accm: 2.53 (2.51) Acct: 4.03 (4.05) proj_loss: -0.5992 (-0.6005) time: 0.4046 data: 0.0003
[11-26 23:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:02:37 tlr: 9.6e-05 tnm: 0.44 Lm: 6.770 (6.783) Lt: 6.075 (6.072) Accm: 2.55 (2.55) Acct: 3.97 (3.99) proj_loss: -0.5970 (-0.5940) time: 0.4046 data: 0.0003
[11-26 23:29:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1251/1669] eta: 0:02:37 tlr: 9.6e-05 tnm: 0.44 Lm: 6.911 (6.919) Lt: 6.256 (6.225) Accm: 2.45 (2.42) Acct: 3.79 (3.82) proj_loss: -0.5975 (-0.5989) time: 0.4046 data: 0.0003
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.865 (6.906) Lt: 6.222 (6.213) Accm: 2.42 (2.42) Acct: 3.72 (3.80) proj_loss: -0.5940 (-0.5963) time: 0.4438 data: 0.0016
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:10:29 (0.377 s / it)
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.862 (6.844) Lt: 6.151 (6.135) Accm: 2.57 (2.65) Acct: 4.15 (4.14) proj_loss: -0.5886 (-0.5885) time: 0.4439 data: 0.0022
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.788 (6.804) Lt: 6.094 (6.099) Accm: 2.56 (2.58) Acct: 3.98 (4.08) proj_loss: -0.5895 (-0.5901) time: 0.4439 data: 0.0015
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 221/350] [1668/1669] eta: 0:00:00 tlr: 9.6e-05 tnm: 0.46 Lm: 6.783 (6.796) Lt: 6.042 (6.065) Accm: 2.60 (2.61) Acct: 4.30 (4.21) proj_loss: -0.5992 (-0.5990) time: 0.4439 data: 0.0019
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:10:29 (0.377 s / it)
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:10:29 (0.377 s / it)
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 221/350] Total time: 0:10:29 (0.377 s / it)
[11-26 23:32:05] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.122), Acc m&t: 2.60 4.12, Remain: 21:39:15, Finish: 2024-11-27 05:11
[11-26 23:32:05] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.122), Acc m&t: 2.60 4.12, Remain: 21:37:28, Finish: 2024-11-27 05:09
[11-26 23:32:05] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.122), Acc m&t: 2.60 4.12, Remain: 21:36:56, Finish: 2024-11-27 05:09
[11-26 23:32:05] (/home/user/VAR/train.py , line 276)=> [ep221] (training ) Lm: 6.829 (6.829), Lt: 6.120 (6.122), Acc m&t: 2.60 4.12, Remain: 21:37:14, Finish: 2024-11-27 05:09
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:09:53 tlr: 9.6e-05 tnm: 0.48 Lm: 6.932 (6.932) Lt: 6.212 (6.212) Accm: 2.30 (2.30) Acct: 3.79 (3.79) proj_loss: -0.5910 (-0.5910) time: 0.3559 data: 0.0003
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:09:54 tlr: 9.6e-05 tnm: 0.48 Lm: 6.861 (6.861) Lt: 6.170 (6.170) Accm: 2.35 (2.35) Acct: 3.63 (3.63) proj_loss: -0.5998 (-0.5998) time: 0.3562 data: 0.0003
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:09:46 tlr: 9.6e-05 tnm: 0.48 Lm: 6.885 (6.885) Lt: 6.151 (6.151) Accm: 2.39 (2.39) Acct: 3.79 (3.79) proj_loss: -0.5890 (-0.5890) time: 0.3515 data: 0.0003
[11-26 23:32:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 0/1669] eta: 0:09:54 tlr: 9.6e-05 tnm: 0.48 Lm: 6.862 (6.862) Lt: 6.108 (6.108) Accm: 2.44 (2.44) Acct: 4.13 (4.13) proj_loss: -0.5809 (-0.5809) time: 0.3565 data: 0.0004
[11-26 23:34:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:07:43 tlr: 9.6e-05 tnm: 0.46 Lm: 6.817 (6.817) Lt: 6.060 (6.060) Accm: 2.55 (2.55) Acct: 4.03 (4.03) proj_loss: -0.5760 (-0.5760) time: 0.3624 data: 0.0003
[11-26 23:34:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:07:43 tlr: 9.6e-05 tnm: 0.46 Lm: 6.892 (6.892) Lt: 6.181 (6.181) Accm: 2.37 (2.37) Acct: 3.71 (3.71) proj_loss: -0.5885 (-0.5885) time: 0.3624 data: 0.0003
[11-26 23:34:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:07:43 tlr: 9.6e-05 tnm: 0.46 Lm: 6.772 (6.772) Lt: 6.062 (6.062) Accm: 2.68 (2.68) Acct: 4.18 (4.18) proj_loss: -0.5874 (-0.5874) time: 0.3624 data: 0.0003
[11-26 23:34:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 417/1669] eta: 0:07:43 tlr: 9.6e-05 tnm: 0.46 Lm: 6.837 (6.837) Lt: 6.135 (6.135) Accm: 2.53 (2.53) Acct: 3.85 (3.85) proj_loss: -0.5997 (-0.5997) time: 0.3624 data: 0.0003
[11-26 23:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:05:09 tlr: 9.5e-05 tnm: 0.44 Lm: 6.789 (6.814) Lt: 6.118 (6.109) Accm: 2.51 (2.52) Acct: 3.82 (3.84) proj_loss: -0.5968 (-0.5988) time: 0.3593 data: 0.0003
[11-26 23:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:05:09 tlr: 9.5e-05 tnm: 0.44 Lm: 6.878 (6.888) Lt: 6.149 (6.164) Accm: 2.31 (2.35) Acct: 3.63 (3.66) proj_loss: -0.5860 (-0.5868) time: 0.3593 data: 0.0003
[11-26 23:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:05:09 tlr: 9.5e-05 tnm: 0.44 Lm: 6.772 (6.790) Lt: 6.042 (6.054) Accm: 2.67 (2.64) Acct: 4.13 (4.11) proj_loss: -0.5809 (-0.5878) time: 0.3593 data: 0.0003
[11-26 23:37:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [ 834/1669] eta: 0:05:09 tlr: 9.5e-05 tnm: 0.44 Lm: 6.831 (6.792) Lt: 6.155 (6.093) Accm: 2.50 (2.62) Acct: 3.82 (4.06) proj_loss: -0.5998 (-0.5970) time: 0.3593 data: 0.0002
[11-26 23:39:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:02:33 tlr: 9.5e-05 tnm: 0.46 Lm: 6.773 (6.772) Lt: 6.088 (6.075) Accm: 2.71 (2.70) Acct: 4.22 (4.20) proj_loss: -0.5962 (-0.5959) time: 0.3607 data: 0.0003
[11-26 23:39:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:02:33 tlr: 9.5e-05 tnm: 0.46 Lm: 6.817 (6.808) Lt: 6.075 (6.087) Accm: 2.55 (2.55) Acct: 4.03 (4.00) proj_loss: -0.5855 (-0.5884) time: 0.3607 data: 0.0003
[11-26 23:39:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:02:33 tlr: 9.5e-05 tnm: 0.46 Lm: 6.778 (6.796) Lt: 6.087 (6.094) Accm: 2.59 (2.67) Acct: 3.87 (4.05) proj_loss: -0.5970 (-0.5984) time: 0.3607 data: 0.0003
[11-26 23:39:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1251/1669] eta: 0:02:33 tlr: 9.5e-05 tnm: 0.46 Lm: 6.865 (6.864) Lt: 6.139 (6.147) Accm: 2.37 (2.49) Acct: 3.71 (3.92) proj_loss: -0.5885 (-0.5896) time: 0.3608 data: 0.0003
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.46 Lm: 6.852 (6.811) Lt: 6.130 (6.095) Accm: 2.44 (2.63) Acct: 3.79 (4.08) proj_loss: -0.5910 (-0.5912) time: 0.3629 data: 0.0016
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:10:10 (0.366 s / it)
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.46 Lm: 6.789 (6.806) Lt: 6.118 (6.110) Accm: 2.51 (2.64) Acct: 3.89 (4.02) proj_loss: -0.5968 (-0.5965) time: 0.3629 data: 0.0019
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.46 Lm: 6.772 (6.790) Lt: 6.042 (6.075) Accm: 2.67 (2.60) Acct: 4.13 (4.08) proj_loss: -0.5901 (-0.5924) time: 0.3629 data: 0.0016
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 222/350] [1668/1669] eta: 0:00:00 tlr: 9.5e-05 tnm: 0.46 Lm: 6.801 (6.778) Lt: 6.093 (6.079) Accm: 2.50 (2.66) Acct: 4.12 (4.18) proj_loss: -0.5998 (-0.5967) time: 0.3629 data: 0.0014
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:10:10 (0.366 s / it)
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:10:10 (0.366 s / it)
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 222/350] Total time: 0:10:10 (0.366 s / it)
[11-26 23:42:16] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.125), Acc m&t: 2.60 4.12, Remain: 21:23:39, Finish: 2024-11-27 05:05
[11-26 23:42:16] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.125), Acc m&t: 2.60 4.12, Remain: 21:24:40, Finish: 2024-11-27 05:06
[11-26 23:42:16] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.125), Acc m&t: 2.60 4.12, Remain: 21:24:06, Finish: 2024-11-27 05:06
[11-26 23:42:16] (/home/user/VAR/train.py , line 276)=> [ep222] (training ) Lm: 6.829 (6.832), Lt: 6.120 (6.125), Acc m&t: 2.60 4.12, Remain: 21:23:18, Finish: 2024-11-27 05:05
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:09:37 tlr: 9.5e-05 tnm: 0.46 Lm: 6.839 (6.839) Lt: 6.108 (6.108) Accm: 2.68 (2.68) Acct: 4.24 (4.24) proj_loss: -0.6043 (-0.6043) time: 0.3459 data: 0.0004
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:09:36 tlr: 9.5e-05 tnm: 0.46 Lm: 6.795 (6.795) Lt: 6.101 (6.101) Accm: 2.62 (2.62) Acct: 4.13 (4.13) proj_loss: -0.6079 (-0.6079) time: 0.3453 data: 0.0004
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:09:37 tlr: 9.5e-05 tnm: 0.46 Lm: 6.836 (6.836) Lt: 6.113 (6.113) Accm: 2.51 (2.51) Acct: 3.86 (3.86) proj_loss: -0.5921 (-0.5921) time: 0.3462 data: 0.0003
[11-26 23:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 0/1669] eta: 0:09:38 tlr: 9.5e-05 tnm: 0.46 Lm: 6.897 (6.897) Lt: 6.191 (6.191) Accm: 2.39 (2.39) Acct: 3.79 (3.79) proj_loss: -0.6042 (-0.6042) time: 0.3464 data: 0.0003
[11-26 23:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:07:32 tlr: 9.5e-05 tnm: 0.47 Lm: 6.725 (6.725) Lt: 6.014 (6.014) Accm: 2.78 (2.78) Acct: 4.42 (4.42) proj_loss: -0.6015 (-0.6015) time: 0.3592 data: 0.0003
[11-26 23:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:07:32 tlr: 9.5e-05 tnm: 0.47 Lm: 6.832 (6.832) Lt: 6.152 (6.152) Accm: 2.56 (2.56) Acct: 3.93 (3.93) proj_loss: -0.5967 (-0.5967) time: 0.3592 data: 0.0003
[11-26 23:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:07:32 tlr: 9.5e-05 tnm: 0.47 Lm: 6.922 (6.922) Lt: 6.242 (6.242) Accm: 2.39 (2.39) Acct: 3.74 (3.74) proj_loss: -0.6055 (-0.6055) time: 0.3592 data: 0.0003
[11-26 23:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 417/1669] eta: 0:07:32 tlr: 9.5e-05 tnm: 0.47 Lm: 6.746 (6.746) Lt: 6.013 (6.013) Accm: 2.88 (2.88) Acct: 4.63 (4.63) proj_loss: -0.6014 (-0.6014) time: 0.3592 data: 0.0002
[11-26 23:47:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:05:01 tlr: 9.5e-05 tnm: 0.47 Lm: 6.703 (6.732) Lt: 5.932 (5.986) Accm: 3.03 (2.93) Acct: 4.75 (4.67) proj_loss: -0.5984 (-0.5949) time: 0.3610 data: 0.0003
[11-26 23:47:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:05:01 tlr: 9.5e-05 tnm: 0.47 Lm: 6.867 (6.773) Lt: 6.191 (6.073) Accm: 2.63 (2.73) Acct: 4.08 (4.30) proj_loss: -0.5987 (-0.5932) time: 0.3609 data: 0.0003
[11-26 23:47:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:05:01 tlr: 9.5e-05 tnm: 0.47 Lm: 6.960 (6.934) Lt: 6.290 (6.258) Accm: 2.31 (2.36) Acct: 3.75 (3.75) proj_loss: -0.6031 (-0.6035) time: 0.3609 data: 0.0003
[11-26 23:47:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [ 834/1669] eta: 0:05:01 tlr: 9.5e-05 tnm: 0.47 Lm: 6.829 (6.765) Lt: 6.113 (6.071) Accm: 2.60 (2.85) Acct: 3.99 (4.49) proj_loss: -0.5921 (-0.5942) time: 0.3609 data: 0.0003
[11-26 23:49:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:02:31 tlr: 9.4e-05 tnm: 0.46 Lm: 6.812 (6.772) Lt: 6.088 (6.069) Accm: 2.58 (2.78) Acct: 3.99 (4.37) proj_loss: -0.5922 (-0.5937) time: 0.3629 data: 0.0003
[11-26 23:49:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:02:31 tlr: 9.4e-05 tnm: 0.46 Lm: 6.771 (6.767) Lt: 6.020 (6.033) Accm: 2.86 (2.76) Acct: 4.49 (4.39) proj_loss: -0.5902 (-0.5912) time: 0.3629 data: 0.0003
[11-26 23:49:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:02:31 tlr: 9.4e-05 tnm: 0.46 Lm: 6.890 (6.906) Lt: 6.195 (6.217) Accm: 2.43 (2.41) Acct: 3.94 (3.85) proj_loss: -0.6013 (-0.6005) time: 0.3629 data: 0.0003
[11-26 23:49:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1251/1669] eta: 0:02:31 tlr: 9.4e-05 tnm: 0.46 Lm: 6.863 (6.794) Lt: 6.184 (6.099) Accm: 2.67 (2.72) Acct: 4.29 (4.35) proj_loss: -0.6015 (-0.5997) time: 0.3629 data: 0.0003
[11-26 23:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.45 Lm: 6.867 (6.820) Lt: 6.191 (6.127) Accm: 2.63 (2.66) Acct: 4.08 (4.24) proj_loss: -0.5987 (-0.5963) time: 0.3627 data: 0.0017
[11-26 23:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.45 Lm: 6.811 (6.780) Lt: 6.069 (6.069) Accm: 2.59 (2.74) Acct: 3.99 (4.36) proj_loss: -0.5922 (-0.5934) time: 0.3627 data: 0.0017
[11-26 23:52:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:10:03 (0.362 s / it)
[11-26 23:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.45 Lm: 6.851 (6.895) Lt: 6.177 (6.209) Accm: 2.36 (2.40) Acct: 3.81 (3.84) proj_loss: -0.6014 (-0.6007) time: 0.3627 data: 0.0013
[11-26 23:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 223/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.45 Lm: 6.839 (6.799) Lt: 6.108 (6.074) Accm: 2.68 (2.67) Acct: 4.24 (4.26) proj_loss: -0.5922 (-0.5914) time: 0.3627 data: 0.0017
[11-26 23:52:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:10:03 (0.362 s / it)
[11-26 23:52:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:10:03 (0.362 s / it)
[11-26 23:52:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 223/350] Total time: 0:10:03 (0.362 s / it)
[11-26 23:52:19] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.817 (6.817), Lt: 6.111 (6.111), Acc m&t: 2.63 4.13, Remain: 21:13:06, Finish: 2024-11-27 05:05
[11-26 23:52:19] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.817 (6.817), Lt: 6.111 (6.111), Acc m&t: 2.63 4.13, Remain: 21:13:38, Finish: 2024-11-27 05:05
[11-26 23:52:19] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.817 (6.817), Lt: 6.111 (6.111), Acc m&t: 2.63 4.13, Remain: 21:13:00, Finish: 2024-11-27 05:05
[11-26 23:52:19] (/home/user/VAR/train.py , line 276)=> [ep223] (training ) Lm: 6.817 (6.817), Lt: 6.111 (6.111), Acc m&t: 2.63 4.13, Remain: 21:12:55, Finish: 2024-11-27 05:05
[11-26 23:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:09:36 tlr: 9.4e-05 tnm: 0.45 Lm: 6.773 (6.773) Lt: 6.080 (6.080) Accm: 2.91 (2.91) Acct: 4.39 (4.39) proj_loss: -0.5930 (-0.5930) time: 0.3453 data: 0.0003
[11-26 23:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:09:41 tlr: 9.4e-05 tnm: 0.45 Lm: 7.027 (7.027) Lt: 6.354 (6.354) Accm: 2.30 (2.30) Acct: 3.53 (3.53) proj_loss: -0.6144 (-0.6144) time: 0.3486 data: 0.0003
[11-26 23:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:10:08 tlr: 9.4e-05 tnm: 0.45 Lm: 6.965 (6.965) Lt: 6.318 (6.318) Accm: 2.35 (2.35) Acct: 3.63 (3.63) proj_loss: -0.6186 (-0.6186) time: 0.3646 data: 0.0003
[11-26 23:52:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 0/1669] eta: 0:09:41 tlr: 9.4e-05 tnm: 0.45 Lm: 6.936 (6.936) Lt: 6.275 (6.275) Accm: 2.32 (2.32) Acct: 3.77 (3.77) proj_loss: -0.6153 (-0.6153) time: 0.3483 data: 0.0003
[11-26 23:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:07:52 tlr: 9.4e-05 tnm: 0.46 Lm: 6.963 (6.963) Lt: 6.285 (6.285) Accm: 2.32 (2.32) Acct: 3.67 (3.67) proj_loss: -0.5965 (-0.5965) time: 0.4005 data: 0.0003
[11-26 23:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:07:52 tlr: 9.4e-05 tnm: 0.46 Lm: 6.891 (6.891) Lt: 6.179 (6.179) Accm: 2.49 (2.49) Acct: 3.92 (3.92) proj_loss: -0.5923 (-0.5923) time: 0.4005 data: 0.0003
[11-26 23:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:07:52 tlr: 9.4e-05 tnm: 0.46 Lm: 6.845 (6.845) Lt: 6.163 (6.163) Accm: 2.66 (2.66) Acct: 4.12 (4.12) proj_loss: -0.5860 (-0.5860) time: 0.4005 data: 0.0003
[11-26 23:54:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 417/1669] eta: 0:07:52 tlr: 9.4e-05 tnm: 0.46 Lm: 6.871 (6.871) Lt: 6.183 (6.183) Accm: 2.56 (2.56) Acct: 4.03 (4.03) proj_loss: -0.6083 (-0.6083) time: 0.4005 data: 0.0003
[11-26 23:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:05:15 tlr: 9.4e-05 tnm: 0.44 Lm: 6.856 (6.866) Lt: 6.117 (6.161) Accm: 2.59 (2.57) Acct: 4.13 (4.06) proj_loss: -0.5980 (-0.6007) time: 0.4029 data: 0.0003
[11-26 23:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:05:15 tlr: 9.4e-05 tnm: 0.44 Lm: 6.887 (6.890) Lt: 6.226 (6.195) Accm: 2.48 (2.49) Acct: 3.77 (3.87) proj_loss: -0.5920 (-0.5922) time: 0.4029 data: 0.0003
[11-26 23:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:05:15 tlr: 9.4e-05 tnm: 0.44 Lm: 6.936 (6.932) Lt: 6.275 (6.251) Accm: 2.32 (2.29) Acct: 3.56 (3.59) proj_loss: -0.5872 (-0.5934) time: 0.4029 data: 0.0003
[11-26 23:57:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [ 834/1669] eta: 0:05:15 tlr: 9.4e-05 tnm: 0.44 Lm: 6.918 (6.883) Lt: 6.246 (6.206) Accm: 2.42 (2.55) Acct: 3.84 (3.95) proj_loss: -0.5916 (-0.5878) time: 0.4029 data: 0.0003
[11-27 00:00:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:02:38 tlr: 9.4e-05 tnm: 0.46 Lm: 6.884 (6.875) Lt: 6.204 (6.195) Accm: 2.50 (2.56) Acct: 4.02 (4.02) proj_loss: -0.5923 (-0.5894) time: 0.4550 data: 0.0003
[11-27 00:00:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:02:38 tlr: 9.4e-05 tnm: 0.46 Lm: 6.846 (6.859) Lt: 6.131 (6.157) Accm: 2.61 (2.59) Acct: 4.05 (4.04) proj_loss: -0.5917 (-0.5941) time: 0.4550 data: 0.0002
[11-27 00:00:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:02:38 tlr: 9.4e-05 tnm: 0.46 Lm: 6.821 (6.848) Lt: 6.120 (6.150) Accm: 2.52 (2.50) Acct: 3.99 (3.95) proj_loss: -0.6003 (-0.5963) time: 0.4550 data: 0.0003
[11-27 00:00:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1251/1669] eta: 0:02:38 tlr: 9.4e-05 tnm: 0.46 Lm: 6.903 (6.915) Lt: 6.230 (6.235) Accm: 2.32 (2.34) Acct: 3.67 (3.70) proj_loss: -0.5891 (-0.5928) time: 0.4550 data: 0.0003
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.47 Lm: 6.870 (6.870) Lt: 6.186 (6.171) Accm: 2.32 (2.43) Acct: 3.77 (3.85) proj_loss: -0.5872 (-0.5905) time: 0.4071 data: 0.0019
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:10:32 (0.379 s / it)
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.47 Lm: 6.837 (6.842) Lt: 6.117 (6.133) Accm: 2.62 (2.59) Acct: 4.13 (4.08) proj_loss: -0.5980 (-0.5973) time: 0.4071 data: 0.0020
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.47 Lm: 6.763 (6.831) Lt: 6.074 (6.135) Accm: 2.56 (2.55) Acct: 4.13 (3.99) proj_loss: -0.5920 (-0.5951) time: 0.4071 data: 0.0020
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 224/350] [1668/1669] eta: 0:00:00 tlr: 9.4e-05 tnm: 0.47 Lm: 6.868 (6.874) Lt: 6.211 (6.198) Accm: 2.48 (2.54) Acct: 3.89 (3.99) proj_loss: -0.5930 (-0.5920) time: 0.4071 data: 0.0018
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:10:32 (0.379 s / it)
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:10:32 (0.379 s / it)
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 224/350] Total time: 0:10:32 (0.379 s / it)
[11-27 00:02:52] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.129), Acc m&t: 2.63 4.13, Remain: 21:10:32, Finish: 2024-11-27 05:13
[11-27 00:02:52] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.129), Acc m&t: 2.63 4.13, Remain: 21:10:23, Finish: 2024-11-27 05:13
[11-27 00:02:52] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.129), Acc m&t: 2.63 4.13, Remain: 21:11:57, Finish: 2024-11-27 05:14
[11-27 00:02:52] (/home/user/VAR/train.py , line 276)=> [ep224] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.129), Acc m&t: 2.63 4.13, Remain: 21:12:23, Finish: 2024-11-27 05:15
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:09:54 tlr: 9.4e-05 tnm: 0.47 Lm: 6.737 (6.737) Lt: 5.982 (5.982) Accm: 2.86 (2.86) Acct: 4.77 (4.77) proj_loss: -0.5857 (-0.5857) time: 0.3564 data: 0.0004
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:09:54 tlr: 9.4e-05 tnm: 0.47 Lm: 6.847 (6.847) Lt: 6.195 (6.195) Accm: 2.64 (2.64) Acct: 3.86 (3.86) proj_loss: -0.6050 (-0.6050) time: 0.3564 data: 0.0004
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:09:55 tlr: 9.4e-05 tnm: 0.47 Lm: 6.841 (6.841) Lt: 6.166 (6.166) Accm: 2.66 (2.66) Acct: 3.77 (3.77) proj_loss: -0.6087 (-0.6087) time: 0.3569 data: 0.0003
[11-27 00:02:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 0/1669] eta: 0:09:55 tlr: 9.4e-05 tnm: 0.47 Lm: 6.894 (6.894) Lt: 6.216 (6.216) Accm: 2.30 (2.30) Acct: 3.68 (3.68) proj_loss: -0.5909 (-0.5909) time: 0.3565 data: 0.0003
[11-27 00:05:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:07:40 tlr: 9.3e-05 tnm: 0.46 Lm: 6.773 (6.773) Lt: 6.082 (6.082) Accm: 2.66 (2.66) Acct: 4.21 (4.21) proj_loss: -0.6011 (-0.6011) time: 0.3627 data: 0.0003
[11-27 00:05:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:07:40 tlr: 9.3e-05 tnm: 0.46 Lm: 6.855 (6.855) Lt: 6.179 (6.179) Accm: 2.54 (2.54) Acct: 3.94 (3.94) proj_loss: -0.5993 (-0.5993) time: 0.3627 data: 0.0003
[11-27 00:05:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:07:40 tlr: 9.3e-05 tnm: 0.46 Lm: 6.805 (6.805) Lt: 6.105 (6.105) Accm: 2.74 (2.74) Acct: 4.28 (4.28) proj_loss: -0.6046 (-0.6046) time: 0.3627 data: 0.0003
[11-27 00:05:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 417/1669] eta: 0:07:40 tlr: 9.3e-05 tnm: 0.46 Lm: 6.828 (6.828) Lt: 6.118 (6.118) Accm: 2.59 (2.59) Acct: 4.06 (4.06) proj_loss: -0.5867 (-0.5867) time: 0.3627 data: 0.0003
[11-27 00:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:05:05 tlr: 9.3e-05 tnm: 0.45 Lm: 6.918 (6.859) Lt: 6.189 (6.142) Accm: 2.40 (2.53) Acct: 3.87 (4.00) proj_loss: -0.5877 (-0.5922) time: 0.3619 data: 0.0003
[11-27 00:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:05:05 tlr: 9.3e-05 tnm: 0.45 Lm: 6.847 (6.837) Lt: 6.164 (6.174) Accm: 2.53 (2.54) Acct: 4.01 (3.97) proj_loss: -0.6050 (-0.6077) time: 0.3618 data: 0.0003
[11-27 00:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:05:05 tlr: 9.3e-05 tnm: 0.45 Lm: 6.894 (6.851) Lt: 6.216 (6.161) Accm: 2.36 (2.56) Acct: 3.84 (4.09) proj_loss: -0.5909 (-0.5927) time: 0.3618 data: 0.0003
[11-27 00:07:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [ 834/1669] eta: 0:05:05 tlr: 9.3e-05 tnm: 0.45 Lm: 6.825 (6.812) Lt: 6.115 (6.109) Accm: 2.66 (2.65) Acct: 4.05 (4.20) proj_loss: -0.6053 (-0.6048) time: 0.3618 data: 0.0003
[11-27 00:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:02:32 tlr: 9.3e-05 tnm: 0.46 Lm: 6.798 (6.794) Lt: 6.080 (6.078) Accm: 2.74 (2.71) Acct: 4.31 (4.30) proj_loss: -0.6029 (-0.6021) time: 0.3618 data: 0.0003
[11-27 00:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:02:32 tlr: 9.3e-05 tnm: 0.46 Lm: 6.855 (6.877) Lt: 6.180 (6.188) Accm: 2.49 (2.44) Acct: 3.93 (3.81) proj_loss: -0.5993 (-0.6021) time: 0.3618 data: 0.0003
[11-27 00:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:02:32 tlr: 9.3e-05 tnm: 0.46 Lm: 6.840 (6.835) Lt: 6.142 (6.130) Accm: 2.50 (2.54) Acct: 3.97 (4.02) proj_loss: -0.5954 (-0.5955) time: 0.3618 data: 0.0003
[11-27 00:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1251/1669] eta: 0:02:32 tlr: 9.3e-05 tnm: 0.46 Lm: 6.903 (6.866) Lt: 6.204 (6.169) Accm: 2.33 (2.47) Acct: 3.76 (3.95) proj_loss: -0.5872 (-0.5904) time: 0.3618 data: 0.0003
[11-27 00:13:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.49 Lm: 6.894 (6.844) Lt: 6.192 (6.143) Accm: 2.36 (2.57) Acct: 3.84 (4.07) proj_loss: -0.5909 (-0.5931) time: 0.3643 data: 0.0016
[11-27 00:13:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:10:08 (0.364 s / it)
[11-27 00:13:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.49 Lm: 6.847 (6.849) Lt: 6.164 (6.140) Accm: 2.53 (2.51) Acct: 4.01 (3.98) proj_loss: -0.5935 (-0.5992) time: 0.3643 data: 0.0016
[11-27 00:13:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.49 Lm: 6.815 (6.831) Lt: 6.110 (6.126) Accm: 2.53 (2.54) Acct: 4.06 (4.09) proj_loss: -0.6032 (-0.5982) time: 0.3643 data: 0.0018
[11-27 00:13:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 225/350] [1668/1669] eta: 0:00:00 tlr: 9.3e-05 tnm: 0.49 Lm: 6.806 (6.796) Lt: 6.076 (6.077) Accm: 2.78 (2.72) Acct: 4.22 (4.28) proj_loss: -0.6004 (-0.5981) time: 0.3643 data: 0.0018
[11-27 00:13:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:10:08 (0.364 s / it)
[11-27 00:13:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:10:08 (0.364 s / it)
[11-27 00:13:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 225/350] Total time: 0:10:08 (0.364 s / it)
[11-27 00:13:00] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.817 (6.837), Lt: 6.111 (6.134), Acc m&t: 2.63 4.13, Remain: 21:07:53, Finish: 2024-11-27 05:20
[11-27 00:13:00] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.817 (6.837), Lt: 6.111 (6.134), Acc m&t: 2.63 4.13, Remain: 21:08:09, Finish: 2024-11-27 05:21
[11-27 00:13:00] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.817 (6.837), Lt: 6.111 (6.134), Acc m&t: 2.63 4.13, Remain: 21:08:06, Finish: 2024-11-27 05:21
[11-27 00:13:00] (/home/user/VAR/train.py , line 276)=> [ep225] (training ) Lm: 6.817 (6.837), Lt: 6.111 (6.134), Acc m&t: 2.63 4.13, Remain: 21:08:06, Finish: 2024-11-27 05:21
[11-27 00:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:10:16 tlr: 9.3e-05 tnm: 0.46 Lm: 7.008 (7.008) Lt: 6.335 (6.335) Accm: 1.94 (1.94) Acct: 3.05 (3.05) proj_loss: -0.6055 (-0.6055) time: 0.3692 data: 0.0004
[11-27 00:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:10:16 tlr: 9.3e-05 tnm: 0.46 Lm: 6.598 (6.598) Lt: 5.854 (5.854) Accm: 3.19 (3.19) Acct: 5.13 (5.13) proj_loss: -0.5897 (-0.5897) time: 0.3695 data: 0.0004
[11-27 00:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:10:17 tlr: 9.3e-05 tnm: 0.46 Lm: 6.845 (6.845) Lt: 6.093 (6.093) Accm: 2.67 (2.67) Acct: 4.32 (4.32) proj_loss: -0.5561 (-0.5561) time: 0.3699 data: 0.0004
[11-27 00:13:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 0/1669] eta: 0:10:18 tlr: 9.3e-05 tnm: 0.46 Lm: 6.857 (6.857) Lt: 6.142 (6.142) Accm: 2.59 (2.59) Acct: 3.96 (3.96) proj_loss: -0.5710 (-0.5710) time: 0.3703 data: 0.0004
[11-27 00:15:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:07:31 tlr: 9.3e-05 tnm: 0.46 Lm: 6.870 (6.870) Lt: 6.154 (6.154) Accm: 2.41 (2.41) Acct: 3.65 (3.65) proj_loss: -0.5873 (-0.5873) time: 0.3613 data: 0.0003
[11-27 00:15:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:07:31 tlr: 9.3e-05 tnm: 0.46 Lm: 6.888 (6.888) Lt: 6.189 (6.189) Accm: 2.49 (2.49) Acct: 3.99 (3.99) proj_loss: -0.5860 (-0.5860) time: 0.3613 data: 0.0003
[11-27 00:15:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:07:31 tlr: 9.3e-05 tnm: 0.46 Lm: 6.699 (6.699) Lt: 5.987 (5.987) Accm: 2.86 (2.86) Acct: 4.52 (4.52) proj_loss: -0.5943 (-0.5943) time: 0.3613 data: 0.0003
[11-27 00:15:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 417/1669] eta: 0:07:31 tlr: 9.3e-05 tnm: 0.46 Lm: 6.842 (6.842) Lt: 6.121 (6.121) Accm: 2.62 (2.62) Acct: 4.18 (4.18) proj_loss: -0.5663 (-0.5663) time: 0.3613 data: 0.0003
[11-27 00:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:05:01 tlr: 9.2e-05 tnm: 0.48 Lm: 6.841 (6.842) Lt: 6.109 (6.117) Accm: 2.59 (2.61) Acct: 4.12 (4.16) proj_loss: -0.5764 (-0.5708) time: 0.3585 data: 0.0003
[11-27 00:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:05:01 tlr: 9.2e-05 tnm: 0.48 Lm: 6.771 (6.723) Lt: 6.083 (6.019) Accm: 2.58 (2.77) Acct: 3.96 (4.33) proj_loss: -0.5917 (-0.5934) time: 0.3585 data: 0.0002
[11-27 00:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:05:01 tlr: 9.2e-05 tnm: 0.48 Lm: 6.883 (6.912) Lt: 6.167 (6.185) Accm: 2.26 (2.36) Acct: 3.72 (3.67) proj_loss: -0.5754 (-0.5834) time: 0.3585 data: 0.0003
[11-27 00:18:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [ 834/1669] eta: 0:05:01 tlr: 9.2e-05 tnm: 0.48 Lm: 6.940 (6.906) Lt: 6.277 (6.218) Accm: 2.52 (2.50) Acct: 3.94 (3.97) proj_loss: -0.5910 (-0.5877) time: 0.3585 data: 0.0003
[11-27 00:20:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:02:31 tlr: 9.2e-05 tnm: 0.49 Lm: 6.843 (6.856) Lt: 6.129 (6.131) Accm: 2.58 (2.55) Acct: 4.08 (4.05) proj_loss: -0.5776 (-0.5728) time: 0.3616 data: 0.0003
[11-27 00:20:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:02:31 tlr: 9.2e-05 tnm: 0.49 Lm: 6.785 (6.768) Lt: 6.102 (6.067) Accm: 2.56 (2.69) Acct: 3.93 (4.17) proj_loss: -0.5953 (-0.5973) time: 0.3616 data: 0.0003
[11-27 00:20:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:02:31 tlr: 9.2e-05 tnm: 0.49 Lm: 6.870 (6.877) Lt: 6.154 (6.148) Accm: 2.42 (2.43) Acct: 3.84 (3.77) proj_loss: -0.5745 (-0.5809) time: 0.3616 data: 0.0003
[11-27 00:20:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1251/1669] eta: 0:02:31 tlr: 9.2e-05 tnm: 0.49 Lm: 6.854 (6.848) Lt: 6.160 (6.150) Accm: 2.69 (2.59) Acct: 4.30 (4.14) proj_loss: -0.5949 (-0.5905) time: 0.3617 data: 0.0003
[11-27 00:23:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.45 Lm: 6.940 (6.879) Lt: 6.277 (6.175) Accm: 2.52 (2.51) Acct: 3.94 (4.04) proj_loss: -0.5942 (-0.5912) time: 0.4063 data: 0.0018
[11-27 00:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:10:06 (0.364 s / it)
[11-27 00:23:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.45 Lm: 6.799 (6.782) Lt: 6.121 (6.092) Accm: 2.58 (2.67) Acct: 3.96 (4.13) proj_loss: -0.5989 (-0.5986) time: 0.4063 data: 0.0020
[11-27 00:23:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.45 Lm: 6.841 (6.835) Lt: 6.109 (6.115) Accm: 2.59 (2.61) Acct: 4.12 (4.14) proj_loss: -0.5788 (-0.5785) time: 0.4063 data: 0.0019
[11-27 00:23:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 226/350] [1668/1669] eta: 0:00:00 tlr: 9.2e-05 tnm: 0.45 Lm: 6.857 (6.857) Lt: 6.142 (6.122) Accm: 2.59 (2.51) Acct: 3.96 (3.90) proj_loss: -0.5754 (-0.5808) time: 0.4063 data: 0.0018
[11-27 00:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:10:06 (0.364 s / it)
[11-27 00:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:10:06 (0.364 s / it)
[11-27 00:23:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 226/350] Total time: 0:10:06 (0.364 s / it)
[11-27 00:23:07] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.817 (6.835), Lt: 6.111 (6.129), Acc m&t: 2.63 4.13, Remain: 20:33:52, Finish: 2024-11-27 04:56
[11-27 00:23:07] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.817 (6.835), Lt: 6.111 (6.129), Acc m&t: 2.63 4.13, Remain: 20:33:49, Finish: 2024-11-27 04:56
[11-27 00:23:07] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.817 (6.835), Lt: 6.111 (6.129), Acc m&t: 2.63 4.13, Remain: 20:34:05, Finish: 2024-11-27 04:57
[11-27 00:23:07] (/home/user/VAR/train.py , line 276)=> [ep226] (training ) Lm: 6.817 (6.835), Lt: 6.111 (6.129), Acc m&t: 2.63 4.13, Remain: 20:34:23, Finish: 2024-11-27 04:57
[11-27 00:23:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:09:41 tlr: 9.2e-05 tnm: 0.46 Lm: 6.846 (6.846) Lt: 6.180 (6.180) Accm: 2.65 (2.65) Acct: 4.32 (4.32) proj_loss: -0.6187 (-0.6187) time: 0.3485 data: 0.0004
[11-27 00:23:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:09:42 tlr: 9.2e-05 tnm: 0.46 Lm: 6.922 (6.922) Lt: 6.235 (6.235) Accm: 2.43 (2.43) Acct: 3.84 (3.84) proj_loss: -0.5856 (-0.5856) time: 0.3490 data: 0.0003
[11-27 00:23:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:09:43 tlr: 9.2e-05 tnm: 0.46 Lm: 6.860 (6.860) Lt: 6.110 (6.110) Accm: 2.45 (2.45) Acct: 3.93 (3.93) proj_loss: -0.5752 (-0.5752) time: 0.3495 data: 0.0004
[11-27 00:23:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 0/1669] eta: 0:09:40 tlr: 9.2e-05 tnm: 0.46 Lm: 6.795 (6.795) Lt: 6.108 (6.108) Accm: 2.80 (2.80) Acct: 4.79 (4.79) proj_loss: -0.6085 (-0.6085) time: 0.3477 data: 0.0003
[11-27 00:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:07:46 tlr: 9.2e-05 tnm: 0.46 Lm: 6.924 (6.924) Lt: 6.223 (6.223) Accm: 2.40 (2.40) Acct: 3.78 (3.78) proj_loss: -0.5801 (-0.5801) time: 0.4424 data: 0.0003
[11-27 00:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:07:46 tlr: 9.2e-05 tnm: 0.46 Lm: 6.780 (6.780) Lt: 6.049 (6.049) Accm: 2.66 (2.66) Acct: 4.17 (4.17) proj_loss: -0.5795 (-0.5795) time: 0.4424 data: 0.0003
[11-27 00:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:07:46 tlr: 9.2e-05 tnm: 0.46 Lm: 6.850 (6.850) Lt: 6.193 (6.193) Accm: 2.69 (2.69) Acct: 4.20 (4.20) proj_loss: -0.6196 (-0.6196) time: 0.4424 data: 0.0003
[11-27 00:25:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 417/1669] eta: 0:07:46 tlr: 9.2e-05 tnm: 0.46 Lm: 6.796 (6.796) Lt: 6.109 (6.109) Accm: 2.73 (2.73) Acct: 4.47 (4.47) proj_loss: -0.6001 (-0.6001) time: 0.4424 data: 0.0003
[11-27 00:28:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:05:12 tlr: 9.2e-05 tnm: 0.49 Lm: 6.797 (6.798) Lt: 6.108 (6.103) Accm: 2.75 (2.74) Acct: 4.27 (4.40) proj_loss: -0.5917 (-0.5956) time: 0.3613 data: 0.0003
[11-27 00:28:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:05:12 tlr: 9.2e-05 tnm: 0.49 Lm: 6.926 (6.952) Lt: 6.235 (6.246) Accm: 2.37 (2.36) Acct: 3.72 (3.74) proj_loss: -0.5808 (-0.5804) time: 0.3613 data: 0.0002
[11-27 00:28:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:05:12 tlr: 9.2e-05 tnm: 0.49 Lm: 6.846 (6.816) Lt: 6.180 (6.139) Accm: 2.65 (2.64) Acct: 4.08 (4.10) proj_loss: -0.6187 (-0.6038) time: 0.3613 data: 0.0003
[11-27 00:28:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [ 834/1669] eta: 0:05:12 tlr: 9.2e-05 tnm: 0.49 Lm: 6.853 (6.804) Lt: 6.110 (6.104) Accm: 2.45 (2.58) Acct: 3.93 (3.99) proj_loss: -0.5837 (-0.5838) time: 0.3613 data: 0.0003
[11-27 00:30:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:02:37 tlr: 9.2e-05 tnm: 0.46 Lm: 6.777 (6.775) Lt: 6.079 (6.090) Accm: 2.66 (2.68) Acct: 4.16 (4.09) proj_loss: -0.5881 (-0.5892) time: 0.4042 data: 0.0003
[11-27 00:30:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:02:37 tlr: 9.2e-05 tnm: 0.46 Lm: 6.959 (6.962) Lt: 6.264 (6.268) Accm: 2.32 (2.31) Acct: 3.69 (3.63) proj_loss: -0.5832 (-0.5852) time: 0.4042 data: 0.0003
[11-27 00:30:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:02:37 tlr: 9.2e-05 tnm: 0.46 Lm: 6.796 (6.788) Lt: 6.099 (6.080) Accm: 2.74 (2.73) Acct: 4.27 (4.37) proj_loss: -0.6001 (-0.6010) time: 0.4042 data: 0.0003
[11-27 00:30:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1251/1669] eta: 0:02:37 tlr: 9.2e-05 tnm: 0.46 Lm: 6.798 (6.796) Lt: 6.108 (6.113) Accm: 2.69 (2.72) Acct: 4.20 (4.18) proj_loss: -0.6067 (-0.6015) time: 0.4042 data: 0.0003
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.47 Lm: 6.832 (6.803) Lt: 6.127 (6.116) Accm: 2.73 (2.72) Acct: 4.29 (4.20) proj_loss: -0.5946 (-0.5933) time: 0.3649 data: 0.0014
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:10:28 (0.377 s / it)
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.47 Lm: 6.795 (6.787) Lt: 6.090 (6.073) Accm: 2.75 (2.76) Acct: 4.27 (4.45) proj_loss: -0.6070 (-0.6022) time: 0.3649 data: 0.0020
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.47 Lm: 6.853 (6.808) Lt: 6.110 (6.115) Accm: 2.45 (2.63) Acct: 3.93 (4.04) proj_loss: -0.5837 (-0.5849) time: 0.3649 data: 0.0016
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 227/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.47 Lm: 6.926 (6.937) Lt: 6.235 (6.246) Accm: 2.37 (2.35) Acct: 3.72 (3.66) proj_loss: -0.5856 (-0.5869) time: 0.3649 data: 0.0017
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:10:28 (0.377 s / it)
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:10:28 (0.377 s / it)
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 227/350] Total time: 0:10:28 (0.377 s / it)
[11-27 00:33:36] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.127), Acc m&t: 2.63 4.13, Remain: 20:42:22, Finish: 2024-11-27 05:15
[11-27 00:33:36] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.127), Acc m&t: 2.63 4.13, Remain: 20:41:57, Finish: 2024-11-27 05:15
[11-27 00:33:36] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.127), Acc m&t: 2.63 4.13, Remain: 20:42:00, Finish: 2024-11-27 05:15
[11-27 00:33:36] (/home/user/VAR/train.py , line 276)=> [ep227] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.127), Acc m&t: 2.63 4.13, Remain: 20:42:32, Finish: 2024-11-27 05:16
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:09:29 tlr: 9.1e-05 tnm: 0.47 Lm: 6.905 (6.905) Lt: 6.254 (6.254) Accm: 2.51 (2.51) Acct: 3.82 (3.82) proj_loss: -0.6008 (-0.6008) time: 0.3414 data: 0.0003
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:09:30 tlr: 9.1e-05 tnm: 0.47 Lm: 6.831 (6.831) Lt: 6.114 (6.114) Accm: 2.51 (2.51) Acct: 3.89 (3.89) proj_loss: -0.5839 (-0.5839) time: 0.3417 data: 0.0004
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:09:29 tlr: 9.1e-05 tnm: 0.47 Lm: 6.741 (6.741) Lt: 5.929 (5.929) Accm: 2.88 (2.88) Acct: 4.87 (4.87) proj_loss: -0.5889 (-0.5889) time: 0.3411 data: 0.0004
[11-27 00:33:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 0/1669] eta: 0:09:29 tlr: 9.1e-05 tnm: 0.47 Lm: 6.963 (6.963) Lt: 6.292 (6.292) Accm: 2.21 (2.21) Acct: 3.12 (3.12) proj_loss: -0.6071 (-0.6071) time: 0.3411 data: 0.0003
[11-27 00:36:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:07:39 tlr: 9.1e-05 tnm: 0.48 Lm: 6.863 (6.863) Lt: 6.179 (6.179) Accm: 2.49 (2.49) Acct: 3.62 (3.62) proj_loss: -0.5883 (-0.5883) time: 0.3602 data: 0.0003
[11-27 00:36:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:07:39 tlr: 9.1e-05 tnm: 0.48 Lm: 6.857 (6.857) Lt: 6.160 (6.160) Accm: 2.79 (2.79) Acct: 4.36 (4.36) proj_loss: -0.5872 (-0.5872) time: 0.3602 data: 0.0003
[11-27 00:36:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:07:39 tlr: 9.1e-05 tnm: 0.48 Lm: 6.907 (6.907) Lt: 6.203 (6.203) Accm: 2.38 (2.38) Acct: 3.71 (3.71) proj_loss: -0.5764 (-0.5764) time: 0.3602 data: 0.0003
[11-27 00:36:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 417/1669] eta: 0:07:39 tlr: 9.1e-05 tnm: 0.48 Lm: 6.862 (6.862) Lt: 6.106 (6.106) Accm: 2.48 (2.48) Acct: 4.00 (4.00) proj_loss: -0.5922 (-0.5922) time: 0.3602 data: 0.0003
[11-27 00:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:05:03 tlr: 9.1e-05 tnm: 0.47 Lm: 6.864 (6.863) Lt: 6.165 (6.125) Accm: 2.34 (2.43) Acct: 3.63 (3.88) proj_loss: -0.5889 (-0.5889) time: 0.3615 data: 0.0003
[11-27 00:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:05:03 tlr: 9.1e-05 tnm: 0.47 Lm: 6.905 (6.888) Lt: 6.254 (6.209) Accm: 2.51 (2.59) Acct: 3.82 (4.14) proj_loss: -0.5940 (-0.5895) time: 0.3615 data: 0.0003
[11-27 00:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:05:03 tlr: 9.1e-05 tnm: 0.47 Lm: 6.831 (6.867) Lt: 6.114 (6.143) Accm: 2.51 (2.48) Acct: 3.89 (3.91) proj_loss: -0.5690 (-0.5737) time: 0.3615 data: 0.0003
[11-27 00:38:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [ 834/1669] eta: 0:05:03 tlr: 9.1e-05 tnm: 0.47 Lm: 6.833 (6.853) Lt: 6.115 (6.157) Accm: 2.37 (2.45) Acct: 3.68 (3.64) proj_loss: -0.5888 (-0.5885) time: 0.3615 data: 0.0003
[11-27 00:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:02:31 tlr: 9.1e-05 tnm: 0.47 Lm: 6.797 (6.828) Lt: 6.090 (6.133) Accm: 2.56 (2.53) Acct: 3.90 (3.80) proj_loss: -0.5928 (-0.5906) time: 0.3601 data: 0.0003
[11-27 00:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:02:31 tlr: 9.1e-05 tnm: 0.47 Lm: 6.860 (6.870) Lt: 6.183 (6.185) Accm: 2.59 (2.61) Acct: 4.08 (4.19) proj_loss: -0.5838 (-0.5854) time: 0.3600 data: 0.0002
[11-27 00:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:02:31 tlr: 9.1e-05 tnm: 0.47 Lm: 6.830 (6.857) Lt: 6.149 (6.153) Accm: 2.59 (2.54) Acct: 3.91 (3.91) proj_loss: -0.5764 (-0.5778) time: 0.3600 data: 0.0003
[11-27 00:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1251/1669] eta: 0:02:31 tlr: 9.1e-05 tnm: 0.47 Lm: 6.924 (6.896) Lt: 6.224 (6.181) Accm: 2.23 (2.35) Acct: 3.53 (3.77) proj_loss: -0.5913 (-0.5901) time: 0.3601 data: 0.0003
[11-27 00:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.45 Lm: 6.864 (6.878) Lt: 6.165 (6.165) Accm: 2.34 (2.40) Acct: 3.63 (3.80) proj_loss: -0.5936 (-0.5911) time: 0.3639 data: 0.0015
[11-27 00:43:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:10:05 (0.363 s / it)
[11-27 00:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.45 Lm: 6.828 (6.850) Lt: 6.130 (6.149) Accm: 2.56 (2.54) Acct: 3.89 (3.89) proj_loss: -0.5839 (-0.5825) time: 0.3639 data: 0.0018
[11-27 00:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.45 Lm: 6.860 (6.868) Lt: 6.120 (6.172) Accm: 2.51 (2.59) Acct: 3.91 (4.13) proj_loss: -0.5899 (-0.5863) time: 0.3639 data: 0.0016
[11-27 00:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 228/350] [1668/1669] eta: 0:00:00 tlr: 9.1e-05 tnm: 0.45 Lm: 6.762 (6.806) Lt: 6.065 (6.104) Accm: 2.76 (2.63) Acct: 4.12 (4.02) proj_loss: -0.5888 (-0.5898) time: 0.3639 data: 0.0016
[11-27 00:43:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:10:05 (0.363 s / it)
[11-27 00:43:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:10:05 (0.363 s / it)
[11-27 00:43:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 228/350] Total time: 0:10:05 (0.363 s / it)
[11-27 00:43:41] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.127), Acc m&t: 2.63 4.13, Remain: 20:26:08, Finish: 2024-11-27 05:09
[11-27 00:43:41] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.127), Acc m&t: 2.63 4.13, Remain: 20:26:21, Finish: 2024-11-27 05:10
[11-27 00:43:41] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.127), Acc m&t: 2.63 4.13, Remain: 20:25:48, Finish: 2024-11-27 05:09
[11-27 00:43:41] (/home/user/VAR/train.py , line 276)=> [ep228] (training ) Lm: 6.817 (6.831), Lt: 6.111 (6.127), Acc m&t: 2.63 4.13, Remain: 20:26:32, Finish: 2024-11-27 05:10
[11-27 00:43:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:09:37 tlr: 9.1e-05 tnm: 0.47 Lm: 6.738 (6.738) Lt: 6.066 (6.066) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.5931 (-0.5931) time: 0.3462 data: 0.0003
[11-27 00:43:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:09:38 tlr: 9.1e-05 tnm: 0.47 Lm: 7.016 (7.016) Lt: 6.341 (6.341) Accm: 2.08 (2.08) Acct: 3.29 (3.29) proj_loss: -0.5726 (-0.5726) time: 0.3468 data: 0.0004
[11-27 00:43:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:09:37 tlr: 9.1e-05 tnm: 0.47 Lm: 6.723 (6.723) Lt: 5.972 (5.972) Accm: 2.84 (2.84) Acct: 4.61 (4.61) proj_loss: -0.6020 (-0.6020) time: 0.3459 data: 0.0004
[11-27 00:43:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 0/1669] eta: 0:09:38 tlr: 9.1e-05 tnm: 0.47 Lm: 7.015 (7.015) Lt: 6.326 (6.326) Accm: 2.38 (2.38) Acct: 3.67 (3.67) proj_loss: -0.5971 (-0.5971) time: 0.3466 data: 0.0004
[11-27 00:46:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:07:36 tlr: 9e-05 tnm: 0.47 Lm: 6.897 (6.897) Lt: 6.198 (6.198) Accm: 2.40 (2.40) Acct: 3.62 (3.62) proj_loss: -0.5829 (-0.5829) time: 0.4076 data: 0.0003
[11-27 00:46:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:07:36 tlr: 9e-05 tnm: 0.47 Lm: 6.827 (6.827) Lt: 6.147 (6.147) Accm: 2.64 (2.64) Acct: 4.16 (4.16) proj_loss: -0.5935 (-0.5935) time: 0.4076 data: 0.0003
[11-27 00:46:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:07:36 tlr: 9e-05 tnm: 0.47 Lm: 6.798 (6.798) Lt: 6.085 (6.085) Accm: 2.58 (2.58) Acct: 4.16 (4.16) proj_loss: -0.5827 (-0.5827) time: 0.4076 data: 0.0002
[11-27 00:46:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 417/1669] eta: 0:07:36 tlr: 9e-05 tnm: 0.47 Lm: 6.773 (6.773) Lt: 6.060 (6.060) Accm: 2.69 (2.69) Acct: 4.22 (4.22) proj_loss: -0.5977 (-0.5977) time: 0.4076 data: 0.0003
[11-27 00:48:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:05:03 tlr: 9e-05 tnm: 0.47 Lm: 6.824 (6.832) Lt: 6.148 (6.123) Accm: 2.54 (2.59) Acct: 3.82 (3.98) proj_loss: -0.5957 (-0.5970) time: 0.3648 data: 0.0003
[11-27 00:48:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:05:03 tlr: 9e-05 tnm: 0.47 Lm: 6.738 (6.750) Lt: 6.066 (6.026) Accm: 2.59 (2.76) Acct: 4.18 (4.42) proj_loss: -0.5931 (-0.5936) time: 0.3648 data: 0.0002
[11-27 00:48:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:05:03 tlr: 9e-05 tnm: 0.47 Lm: 6.887 (6.847) Lt: 6.201 (6.165) Accm: 2.60 (2.63) Acct: 3.96 (4.09) proj_loss: -0.5862 (-0.5911) time: 0.3648 data: 0.0003
[11-27 00:48:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [ 834/1669] eta: 0:05:03 tlr: 9e-05 tnm: 0.47 Lm: 6.780 (6.825) Lt: 6.071 (6.100) Accm: 2.43 (2.52) Acct: 3.67 (3.90) proj_loss: -0.5919 (-0.5859) time: 0.3648 data: 0.0003
[11-27 00:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:02:31 tlr: 9e-05 tnm: 0.46 Lm: 6.731 (6.786) Lt: 5.988 (6.052) Accm: 2.59 (2.69) Acct: 4.05 (4.27) proj_loss: -0.5893 (-0.5861) time: 0.3608 data: 0.0003
[11-27 00:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:02:31 tlr: 9e-05 tnm: 0.46 Lm: 6.772 (6.764) Lt: 6.060 (6.033) Accm: 2.64 (2.74) Acct: 4.18 (4.36) proj_loss: -0.5827 (-0.5869) time: 0.3608 data: 0.0003
[11-27 00:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:02:31 tlr: 9e-05 tnm: 0.46 Lm: 6.858 (6.847) Lt: 6.173 (6.142) Accm: 2.47 (2.54) Acct: 3.80 (3.93) proj_loss: -0.5979 (-0.5978) time: 0.3608 data: 0.0003
[11-27 00:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1251/1669] eta: 0:02:31 tlr: 9e-05 tnm: 0.46 Lm: 6.857 (6.842) Lt: 6.149 (6.148) Accm: 2.65 (2.64) Acct: 4.18 (4.17) proj_loss: -0.5806 (-0.5870) time: 0.3608 data: 0.0003
[11-27 00:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.47 Lm: 6.887 (6.853) Lt: 6.201 (6.167) Accm: 2.60 (2.58) Acct: 3.96 (4.05) proj_loss: -0.5862 (-0.5889) time: 0.4062 data: 0.0017
[11-27 00:53:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:10:11 (0.366 s / it)
[11-27 00:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.47 Lm: 6.806 (6.779) Lt: 6.066 (6.057) Accm: 2.69 (2.73) Acct: 4.18 (4.37) proj_loss: -0.5931 (-0.5885) time: 0.4062 data: 0.0016
[11-27 00:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.47 Lm: 6.824 (6.838) Lt: 6.148 (6.139) Accm: 2.54 (2.57) Acct: 3.82 (3.98) proj_loss: -0.5980 (-0.5978) time: 0.4062 data: 0.0015
[11-27 00:53:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 229/350] [1668/1669] eta: 0:00:00 tlr: 9e-05 tnm: 0.47 Lm: 6.780 (6.798) Lt: 6.071 (6.073) Accm: 2.55 (2.66) Acct: 4.18 (4.25) proj_loss: -0.5919 (-0.5904) time: 0.4062 data: 0.0022
[11-27 00:53:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:10:11 (0.366 s / it)
[11-27 00:53:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:10:11 (0.366 s / it)
[11-27 00:53:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 229/350] Total time: 0:10:11 (0.366 s / it)
[11-27 00:56:09] (home/user/VAR/trainer.py, line 114)=> FID: 4.406230479968372
[11-27 00:56:09] (/home/user/VAR/train.py , line 259)=> [*] [ep229] (val 50000) Lm: 6.8336, Lt: 6.1317, Acc m&t: 2.61 4.09, Val cost: 136.26s
[11-27 00:56:09] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-27 00:56:17] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.817 (6.834), Lt: 6.111 (6.132), Acc m&t: 2.63 4.13, Remain: 20:13:12, Finish: 2024-11-27 05:07
[11-27 00:56:17] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.817 (6.834), Lt: 6.111 (6.132), Acc m&t: 2.63 4.13, Remain: 20:13:25, Finish: 2024-11-27 05:07
[11-27 00:56:17] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.817 (6.834), Lt: 6.111 (6.132), Acc m&t: 2.63 4.13, Remain: 20:13:53, Finish: 2024-11-27 05:07
[11-27 00:56:17] (/home/user/VAR/train.py , line 276)=> [ep229] (training ) Lm: 6.817 (6.834), Lt: 6.111 (6.132), Acc m&t: 2.63 4.13, Remain: 20:13:34, Finish: 2024-11-27 05:07
[11-27 00:56:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:09:56 tlr: 9e-05 tnm: 0.45 Lm: 6.844 (6.844) Lt: 6.116 (6.116) Accm: 2.52 (2.52) Acct: 3.96 (3.96) proj_loss: -0.6103 (-0.6103) time: 0.3577 data: 0.0004
[11-27 00:56:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:09:57 tlr: 9e-05 tnm: 0.45 Lm: 6.831 (6.831) Lt: 6.079 (6.079) Accm: 2.57 (2.57) Acct: 4.32 (4.32) proj_loss: -0.5882 (-0.5882) time: 0.3580 data: 0.0004
[11-27 00:56:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:09:57 tlr: 9e-05 tnm: 0.45 Lm: 6.765 (6.765) Lt: 6.035 (6.035) Accm: 2.61 (2.61) Acct: 3.98 (3.98) proj_loss: -0.5819 (-0.5819) time: 0.3578 data: 0.0004
[11-27 00:56:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 0/1669] eta: 0:09:56 tlr: 9e-05 tnm: 0.45 Lm: 6.689 (6.689) Lt: 5.953 (5.953) Accm: 2.83 (2.83) Acct: 4.39 (4.39) proj_loss: -0.5887 (-0.5887) time: 0.3576 data: 0.0004
[11-27 00:58:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:07:45 tlr: 9e-05 tnm: 0.47 Lm: 6.747 (6.747) Lt: 6.005 (6.005) Accm: 2.76 (2.76) Acct: 4.42 (4.42) proj_loss: -0.5868 (-0.5868) time: 0.3608 data: 0.0003
[11-27 00:58:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:07:45 tlr: 9e-05 tnm: 0.47 Lm: 6.752 (6.752) Lt: 6.017 (6.017) Accm: 2.77 (2.77) Acct: 4.53 (4.53) proj_loss: -0.5964 (-0.5964) time: 0.3608 data: 0.0002
[11-27 00:58:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:07:45 tlr: 9e-05 tnm: 0.47 Lm: 6.866 (6.866) Lt: 6.139 (6.139) Accm: 2.53 (2.53) Acct: 3.93 (3.93) proj_loss: -0.5984 (-0.5984) time: 0.3608 data: 0.0003
[11-27 00:58:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 417/1669] eta: 0:07:45 tlr: 9e-05 tnm: 0.47 Lm: 6.837 (6.837) Lt: 6.108 (6.108) Accm: 2.54 (2.54) Acct: 3.99 (3.99) proj_loss: -0.5894 (-0.5894) time: 0.3608 data: 0.0003
[11-27 01:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:05:12 tlr: 9e-05 tnm: 0.48 Lm: 6.909 (6.884) Lt: 6.181 (6.168) Accm: 2.48 (2.52) Acct: 3.98 (3.95) proj_loss: -0.5970 (-0.5934) time: 0.3608 data: 0.0003
[11-27 01:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:05:12 tlr: 9e-05 tnm: 0.48 Lm: 6.805 (6.791) Lt: 6.057 (6.075) Accm: 2.70 (2.69) Acct: 4.39 (4.30) proj_loss: -0.5887 (-0.5935) time: 0.3608 data: 0.0003
[11-27 01:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:05:12 tlr: 9e-05 tnm: 0.48 Lm: 6.831 (6.781) Lt: 6.079 (6.078) Accm: 2.57 (2.65) Acct: 4.32 (4.24) proj_loss: -0.6046 (-0.6037) time: 0.3608 data: 0.0002
[11-27 01:01:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [ 834/1669] eta: 0:05:12 tlr: 9e-05 tnm: 0.48 Lm: 6.888 (6.875) Lt: 6.163 (6.162) Accm: 2.52 (2.48) Acct: 3.89 (3.89) proj_loss: -0.5991 (-0.5986) time: 0.3608 data: 0.0003
[11-27 01:04:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:02:37 tlr: 8.9e-05 tnm: 0.46 Lm: 6.835 (6.809) Lt: 6.115 (6.097) Accm: 2.60 (2.64) Acct: 4.21 (4.21) proj_loss: -0.6007 (-0.6020) time: 0.3616 data: 0.0003
[11-27 01:04:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:02:37 tlr: 8.9e-05 tnm: 0.46 Lm: 6.842 (6.836) Lt: 6.135 (6.132) Accm: 2.63 (2.55) Acct: 4.23 (4.10) proj_loss: -0.5926 (-0.5942) time: 0.3617 data: 0.0003
[11-27 01:04:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:02:37 tlr: 8.9e-05 tnm: 0.46 Lm: 6.890 (6.884) Lt: 6.186 (6.181) Accm: 2.49 (2.48) Acct: 3.85 (3.86) proj_loss: -0.5966 (-0.5975) time: 0.3617 data: 0.0003
[11-27 01:04:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 230/350] [1251/1669] eta: 0:02:37 tlr: 8.9e-05 tnm: 0.46 Lm: 6.927 (6.899) Lt: 6.235 (6.205) Accm: 2.47 (2.46) Acct: 3.93 (3.80) proj_loss: -0.5992 (-0.5962) time: 0.3617 data: 0.0003
[11-27 01:06:44] (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: 6.919 (6.903) Lt: 6.264 (6.217) Accm: 2.47 (2.41) Acct: 3.89 (3.73) proj_loss: -0.5970 (-0.5958) time: 0.3617 data: 0.0016
[11-27 01:06:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:10:26 (0.376 s / it)
[11-27 01:06:44] (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: 6.879 (6.866) Lt: 6.214 (6.169) Accm: 2.56 (2.47) Acct: 4.06 (3.90) proj_loss: -0.5966 (-0.5948) time: 0.3617 data: 0.0015
[11-27 01:06:44] (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: 6.831 (6.796) Lt: 6.079 (6.091) Accm: 2.62 (2.71) Acct: 4.32 (4.35) proj_loss: -0.5986 (-0.6013) time: 0.3617 data: 0.0018
[11-27 01:06:44] (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: 6.888 (6.862) Lt: 6.163 (6.153) Accm: 2.52 (2.52) Acct: 3.89 (3.95) proj_loss: -0.5965 (-0.5973) time: 0.3617 data: 0.0018
[11-27 01:06:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:10:26 (0.376 s / it)
[11-27 01:06:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:10:26 (0.376 s / it)
[11-27 01:06:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 230/350] Total time: 0:10:26 (0.376 s / it)
[11-27 01:06:44] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.113), Acc m&t: 2.63 4.13, Remain: 20:09:24, Finish: 2024-11-27 05:16
[11-27 01:06:44] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.113), Acc m&t: 2.63 4.13, Remain: 20:09:39, Finish: 2024-11-27 05:16
[11-27 01:06:44] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.113), Acc m&t: 2.63 4.13, Remain: 20:09:30, Finish: 2024-11-27 05:16
[11-27 01:06:44] (/home/user/VAR/train.py , line 276)=> [ep230] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.113), Acc m&t: 2.63 4.13, Remain: 20:10:15, Finish: 2024-11-27 05:16
[11-27 01:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:09:32 tlr: 8.9e-05 tnm: 0.47 Lm: 6.738 (6.738) Lt: 6.002 (6.002) Accm: 3.02 (3.02) Acct: 5.01 (5.01) proj_loss: -0.5750 (-0.5750) time: 0.3430 data: 0.0003
[11-27 01:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:09:58 tlr: 8.9e-05 tnm: 0.47 Lm: 6.768 (6.768) Lt: 6.105 (6.105) Accm: 2.56 (2.56) Acct: 4.18 (4.18) proj_loss: -0.5942 (-0.5942) time: 0.3583 data: 0.0003
[11-27 01:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:09:52 tlr: 8.9e-05 tnm: 0.47 Lm: 6.689 (6.689) Lt: 5.955 (5.955) Accm: 2.95 (2.95) Acct: 4.67 (4.67) proj_loss: -0.5979 (-0.5979) time: 0.3547 data: 0.0003
[11-27 01:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 0/1669] eta: 0:09:55 tlr: 8.9e-05 tnm: 0.47 Lm: 7.055 (7.055) Lt: 6.372 (6.372) Accm: 2.08 (2.08) Acct: 3.31 (3.31) proj_loss: -0.5990 (-0.5990) time: 0.3567 data: 0.0004
[11-27 01:09:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:07:36 tlr: 8.9e-05 tnm: 0.47 Lm: 6.920 (6.920) Lt: 6.199 (6.199) Accm: 2.39 (2.39) Acct: 3.86 (3.86) proj_loss: -0.5915 (-0.5915) time: 0.3620 data: 0.0003
[11-27 01:09:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:07:36 tlr: 8.9e-05 tnm: 0.47 Lm: 6.824 (6.824) Lt: 6.144 (6.144) Accm: 2.49 (2.49) Acct: 3.95 (3.95) proj_loss: -0.5956 (-0.5956) time: 0.3620 data: 0.0003
[11-27 01:09:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:07:36 tlr: 8.9e-05 tnm: 0.47 Lm: 6.789 (6.789) Lt: 6.076 (6.076) Accm: 2.83 (2.83) Acct: 4.58 (4.58) proj_loss: -0.5866 (-0.5866) time: 0.3620 data: 0.0003
[11-27 01:09:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 417/1669] eta: 0:07:36 tlr: 8.9e-05 tnm: 0.47 Lm: 6.822 (6.822) Lt: 6.097 (6.097) Accm: 2.70 (2.70) Acct: 4.25 (4.25) proj_loss: -0.5983 (-0.5983) time: 0.3620 data: 0.0003
[11-27 01:11:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:05:02 tlr: 8.9e-05 tnm: 0.47 Lm: 6.874 (6.839) Lt: 6.181 (6.125) Accm: 2.44 (2.57) Acct: 3.84 (4.06) proj_loss: -0.5979 (-0.5939) time: 0.3605 data: 0.0003
[11-27 01:11:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:05:02 tlr: 8.9e-05 tnm: 0.47 Lm: 6.768 (6.806) Lt: 6.105 (6.112) Accm: 2.56 (2.53) Acct: 4.18 (4.04) proj_loss: -0.5942 (-0.5860) time: 0.3605 data: 0.0003
[11-27 01:11:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:05:02 tlr: 8.9e-05 tnm: 0.47 Lm: 6.864 (6.902) Lt: 6.130 (6.176) Accm: 2.49 (2.42) Acct: 4.18 (3.97) proj_loss: -0.5938 (-0.5923) time: 0.3605 data: 0.0003
[11-27 01:11:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [ 834/1669] eta: 0:05:02 tlr: 8.9e-05 tnm: 0.47 Lm: 6.841 (6.819) Lt: 6.149 (6.126) Accm: 2.64 (2.69) Acct: 4.15 (4.32) proj_loss: -0.5982 (-0.5926) time: 0.3605 data: 0.0003
[11-27 01:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:02:31 tlr: 8.9e-05 tnm: 0.46 Lm: 6.860 (6.851) Lt: 6.188 (6.157) Accm: 2.52 (2.55) Acct: 3.97 (4.12) proj_loss: -0.5895 (-0.5896) time: 0.3612 data: 0.0003
[11-27 01:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:02:31 tlr: 8.9e-05 tnm: 0.46 Lm: 6.879 (6.899) Lt: 6.142 (6.171) Accm: 2.36 (2.37) Acct: 3.83 (3.84) proj_loss: -0.5920 (-0.5918) time: 0.3612 data: 0.0003
[11-27 01:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:02:31 tlr: 8.9e-05 tnm: 0.46 Lm: 6.793 (6.807) Lt: 6.096 (6.096) Accm: 2.70 (2.68) Acct: 4.25 (4.21) proj_loss: -0.5983 (-0.5963) time: 0.3612 data: 0.0003
[11-27 01:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1251/1669] eta: 0:02:31 tlr: 8.9e-05 tnm: 0.46 Lm: 6.825 (6.828) Lt: 6.144 (6.133) Accm: 2.49 (2.50) Acct: 3.98 (3.97) proj_loss: -0.5950 (-0.5884) time: 0.3612 data: 0.0002
[11-27 01:16:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.46 Lm: 6.881 (6.847) Lt: 6.182 (6.145) Accm: 2.56 (2.53) Acct: 4.18 (4.05) proj_loss: -0.5942 (-0.5882) time: 0.3659 data: 0.0016
[11-27 01:16:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:10:04 (0.362 s / it)
[11-27 01:16:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.46 Lm: 6.860 (6.853) Lt: 6.198 (6.165) Accm: 2.64 (2.63) Acct: 4.15 (4.15) proj_loss: -0.5901 (-0.5897) time: 0.3659 data: 0.0015
[11-27 01:16:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.46 Lm: 6.874 (6.825) Lt: 6.181 (6.116) Accm: 2.44 (2.59) Acct: 3.84 (4.07) proj_loss: -0.5979 (-0.5957) time: 0.3659 data: 0.0019
[11-27 01:16:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 231/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.46 Lm: 6.893 (6.915) Lt: 6.155 (6.201) Accm: 2.47 (2.39) Acct: 4.01 (3.88) proj_loss: -0.5938 (-0.5926) time: 0.3659 data: 0.0018
[11-27 01:16:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:10:04 (0.362 s / it)
[11-27 01:16:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:10:04 (0.362 s / it)
[11-27 01:16:48] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 231/350] Total time: 0:10:04 (0.362 s / it)
[11-27 01:16:48] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.817 (6.826), Lt: 6.111 (6.124), Acc m&t: 2.63 4.13, Remain: 20:03:45, Finish: 2024-11-27 05:20
[11-27 01:16:48] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.817 (6.826), Lt: 6.111 (6.124), Acc m&t: 2.63 4.13, Remain: 20:04:10, Finish: 2024-11-27 05:20
[11-27 01:16:48] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.817 (6.826), Lt: 6.111 (6.124), Acc m&t: 2.63 4.13, Remain: 20:04:13, Finish: 2024-11-27 05:21
[11-27 01:16:48] (/home/user/VAR/train.py , line 276)=> [ep231] (training ) Lm: 6.817 (6.826), Lt: 6.111 (6.124), Acc m&t: 2.63 4.13, Remain: 20:03:54, Finish: 2024-11-27 05:20
[11-27 01:16:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:09:34 tlr: 8.8e-05 tnm: 0.47 Lm: 6.810 (6.810) Lt: 6.098 (6.098) Accm: 2.71 (2.71) Acct: 4.22 (4.22) proj_loss: -0.6003 (-0.6003) time: 0.3443 data: 0.0003
[11-27 01:16:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:09:32 tlr: 8.8e-05 tnm: 0.47 Lm: 6.887 (6.887) Lt: 6.191 (6.191) Accm: 2.35 (2.35) Acct: 3.67 (3.67) proj_loss: -0.5945 (-0.5945) time: 0.3432 data: 0.0004
[11-27 01:16:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:09:34 tlr: 8.8e-05 tnm: 0.47 Lm: 6.834 (6.834) Lt: 6.203 (6.203) Accm: 2.40 (2.40) Acct: 3.53 (3.53) proj_loss: -0.6070 (-0.6070) time: 0.3442 data: 0.0004
[11-27 01:16:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 0/1669] eta: 0:09:34 tlr: 8.8e-05 tnm: 0.47 Lm: 6.901 (6.901) Lt: 6.156 (6.156) Accm: 2.52 (2.52) Acct: 4.05 (4.05) proj_loss: -0.5728 (-0.5728) time: 0.3442 data: 0.0004
[11-27 01:19:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:07:32 tlr: 8.8e-05 tnm: 0.47 Lm: 6.820 (6.820) Lt: 6.077 (6.077) Accm: 2.64 (2.64) Acct: 4.28 (4.28) proj_loss: -0.5786 (-0.5786) time: 0.3618 data: 0.0005
[11-27 01:19:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:07:32 tlr: 8.8e-05 tnm: 0.47 Lm: 6.851 (6.851) Lt: 6.164 (6.164) Accm: 2.52 (2.52) Acct: 3.94 (3.94) proj_loss: -0.5876 (-0.5876) time: 0.3618 data: 0.0003
[11-27 01:19:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:07:32 tlr: 8.8e-05 tnm: 0.47 Lm: 6.811 (6.811) Lt: 6.133 (6.133) Accm: 2.66 (2.66) Acct: 3.93 (3.93) proj_loss: -0.5856 (-0.5856) time: 0.3618 data: 0.0003
[11-27 01:19:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 417/1669] eta: 0:07:32 tlr: 8.8e-05 tnm: 0.47 Lm: 6.927 (6.927) Lt: 6.250 (6.250) Accm: 2.32 (2.32) Acct: 3.61 (3.61) proj_loss: -0.5885 (-0.5885) time: 0.3618 data: 0.0003
[11-27 01:21:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:05:03 tlr: 8.8e-05 tnm: 0.47 Lm: 6.887 (6.870) Lt: 6.191 (6.183) Accm: 2.35 (2.51) Acct: 3.67 (3.88) proj_loss: -0.5945 (-0.5957) time: 0.3621 data: 0.0003
[11-27 01:21:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:05:03 tlr: 8.8e-05 tnm: 0.47 Lm: 6.810 (6.774) Lt: 6.098 (6.065) Accm: 2.71 (2.73) Acct: 4.22 (4.31) proj_loss: -0.5748 (-0.5831) time: 0.3621 data: 0.0003
[11-27 01:21:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:05:03 tlr: 8.8e-05 tnm: 0.47 Lm: 6.834 (6.839) Lt: 6.203 (6.159) Accm: 2.40 (2.52) Acct: 3.65 (3.83) proj_loss: -0.6042 (-0.5918) time: 0.3621 data: 0.0003
[11-27 01:21:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [ 834/1669] eta: 0:05:03 tlr: 8.8e-05 tnm: 0.47 Lm: 6.901 (6.850) Lt: 6.156 (6.108) Accm: 2.52 (2.51) Acct: 4.05 (3.98) proj_loss: -0.5844 (-0.5862) time: 0.3621 data: 0.0003
[11-27 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:02:33 tlr: 8.8e-05 tnm: 0.48 Lm: 6.906 (6.874) Lt: 6.164 (6.143) Accm: 2.46 (2.48) Acct: 3.93 (3.94) proj_loss: -0.5789 (-0.5830) time: 0.4045 data: 0.0003
[11-27 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:02:33 tlr: 8.8e-05 tnm: 0.48 Lm: 6.851 (6.820) Lt: 6.164 (6.120) Accm: 2.52 (2.61) Acct: 3.94 (4.08) proj_loss: -0.5802 (-0.5838) time: 0.4045 data: 0.0003
[11-27 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:02:33 tlr: 8.8e-05 tnm: 0.48 Lm: 6.863 (6.852) Lt: 6.180 (6.159) Accm: 2.57 (2.57) Acct: 3.94 (3.93) proj_loss: -0.5877 (-0.5866) time: 0.4045 data: 0.0003
[11-27 01:24:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1251/1669] eta: 0:02:33 tlr: 8.8e-05 tnm: 0.48 Lm: 6.830 (6.846) Lt: 6.174 (6.177) Accm: 2.62 (2.62) Acct: 4.00 (3.99) proj_loss: -0.6024 (-0.6008) time: 0.4045 data: 0.0003
[11-27 01:27:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.48 Lm: 6.887 (6.855) Lt: 6.191 (6.181) Accm: 2.54 (2.60) Acct: 3.86 (3.97) proj_loss: -0.5945 (-0.5928) time: 0.4501 data: 0.0014
[11-27 01:27:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:10:13 (0.368 s / it)
[11-27 01:27:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.48 Lm: 6.834 (6.844) Lt: 6.157 (6.150) Accm: 2.46 (2.55) Acct: 3.79 (3.90) proj_loss: -0.5801 (-0.5853) time: 0.4501 data: 0.0017
[11-27 01:27:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.48 Lm: 6.892 (6.841) Lt: 6.229 (6.142) Accm: 2.32 (2.53) Acct: 3.67 (3.96) proj_loss: -0.5856 (-0.5865) time: 0.4501 data: 0.0020
[11-27 01:27:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 232/350] [1668/1669] eta: 0:00:00 tlr: 8.8e-05 tnm: 0.48 Lm: 6.901 (6.837) Lt: 6.156 (6.107) Accm: 2.52 (2.61) Acct: 4.05 (4.15) proj_loss: -0.5836 (-0.5831) time: 0.4501 data: 0.0017
[11-27 01:27:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:10:13 (0.368 s / it)
[11-27 01:27:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:10:13 (0.368 s / it)
[11-27 01:27:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 232/350] Total time: 0:10:13 (0.368 s / it)
[11-27 01:27:02] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.116), Acc m&t: 2.63 4.13, Remain: 19:54:09, Finish: 2024-11-27 05:21
[11-27 01:27:02] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.116), Acc m&t: 2.63 4.13, Remain: 19:54:52, Finish: 2024-11-27 05:21
[11-27 01:27:02] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.116), Acc m&t: 2.63 4.13, Remain: 19:54:10, Finish: 2024-11-27 05:21
[11-27 01:27:02] (/home/user/VAR/train.py , line 276)=> [ep232] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.116), Acc m&t: 2.63 4.13, Remain: 19:54:28, Finish: 2024-11-27 05:21
[11-27 01:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:09:45 tlr: 8.8e-05 tnm: 0.49 Lm: 6.872 (6.872) Lt: 6.163 (6.163) Accm: 2.38 (2.38) Acct: 3.86 (3.86) proj_loss: -0.6122 (-0.6122) time: 0.3510 data: 0.0004
[11-27 01:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:09:37 tlr: 8.8e-05 tnm: 0.49 Lm: 6.910 (6.910) Lt: 6.224 (6.224) Accm: 2.36 (2.36) Acct: 3.63 (3.63) proj_loss: -0.5896 (-0.5896) time: 0.3458 data: 0.0004
[11-27 01:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:09:46 tlr: 8.8e-05 tnm: 0.49 Lm: 7.011 (7.011) Lt: 6.338 (6.338) Accm: 2.26 (2.26) Acct: 3.43 (3.43) proj_loss: -0.5931 (-0.5931) time: 0.3515 data: 0.0004
[11-27 01:27:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 0/1669] eta: 0:09:46 tlr: 8.8e-05 tnm: 0.49 Lm: 6.852 (6.852) Lt: 6.220 (6.220) Accm: 2.69 (2.69) Acct: 4.25 (4.25) proj_loss: -0.6039 (-0.6039) time: 0.3516 data: 0.0004
[11-27 01:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:07:51 tlr: 8.8e-05 tnm: 0.47 Lm: 6.883 (6.883) Lt: 6.236 (6.236) Accm: 2.49 (2.49) Acct: 3.99 (3.99) proj_loss: -0.6084 (-0.6084) time: 0.3625 data: 0.0003
[11-27 01:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:07:51 tlr: 8.8e-05 tnm: 0.47 Lm: 6.754 (6.754) Lt: 6.064 (6.064) Accm: 2.74 (2.74) Acct: 4.35 (4.35) proj_loss: -0.5919 (-0.5919) time: 0.3625 data: 0.0003
[11-27 01:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:07:51 tlr: 8.8e-05 tnm: 0.47 Lm: 6.763 (6.763) Lt: 6.011 (6.011) Accm: 2.66 (2.66) Acct: 4.28 (4.28) proj_loss: -0.6075 (-0.6075) time: 0.3626 data: 0.0003
[11-27 01:29:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 417/1669] eta: 0:07:51 tlr: 8.8e-05 tnm: 0.47 Lm: 6.842 (6.842) Lt: 6.109 (6.109) Accm: 2.65 (2.65) Acct: 4.22 (4.22) proj_loss: -0.5840 (-0.5840) time: 0.3626 data: 0.0003
[11-27 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:05:12 tlr: 8.7e-05 tnm: 0.47 Lm: 6.889 (6.858) Lt: 6.225 (6.148) Accm: 2.64 (2.65) Acct: 4.17 (4.20) proj_loss: -0.5931 (-0.5914) time: 0.3612 data: 0.0002
[11-27 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:05:12 tlr: 8.7e-05 tnm: 0.47 Lm: 6.826 (6.784) Lt: 6.154 (6.059) Accm: 2.53 (2.62) Acct: 3.86 (4.13) proj_loss: -0.6028 (-0.6002) time: 0.3612 data: 0.0002
[11-27 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:05:12 tlr: 8.7e-05 tnm: 0.47 Lm: 6.852 (6.809) Lt: 6.220 (6.145) Accm: 2.69 (2.61) Acct: 4.25 (4.13) proj_loss: -0.6039 (-0.6041) time: 0.3612 data: 0.0003
[11-27 01:32:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [ 834/1669] eta: 0:05:12 tlr: 8.7e-05 tnm: 0.47 Lm: 6.804 (6.770) Lt: 6.022 (6.050) Accm: 2.87 (2.78) Acct: 4.82 (4.51) proj_loss: -0.5942 (-0.5945) time: 0.3612 data: 0.0003
[11-27 01:34:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:02:37 tlr: 8.7e-05 tnm: 0.48 Lm: 6.797 (6.776) Lt: 6.085 (6.074) Accm: 2.75 (2.74) Acct: 4.55 (4.45) proj_loss: -0.5969 (-0.6004) time: 0.3630 data: 0.0003
[11-27 01:34:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:02:37 tlr: 8.7e-05 tnm: 0.48 Lm: 6.865 (6.826) Lt: 6.200 (6.154) Accm: 2.57 (2.57) Acct: 4.09 (4.08) proj_loss: -0.6059 (-0.6051) time: 0.3630 data: 0.0003
[11-27 01:34:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:02:37 tlr: 8.7e-05 tnm: 0.48 Lm: 6.920 (6.881) Lt: 6.217 (6.163) Accm: 2.48 (2.56) Acct: 4.12 (4.17) proj_loss: -0.5858 (-0.5881) time: 0.3630 data: 0.0003
[11-27 01:34:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1251/1669] eta: 0:02:37 tlr: 8.7e-05 tnm: 0.48 Lm: 6.840 (6.801) Lt: 6.149 (6.080) Accm: 2.62 (2.64) Acct: 4.12 (4.20) proj_loss: -0.6028 (-0.6009) time: 0.3630 data: 0.0003
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.48 Lm: 6.853 (6.831) Lt: 6.154 (6.128) Accm: 2.53 (2.53) Acct: 3.86 (4.00) proj_loss: -0.6028 (-0.6031) time: 0.3636 data: 0.0015
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:10:24 (0.374 s / it)
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.48 Lm: 6.889 (6.866) Lt: 6.210 (6.156) Accm: 2.64 (2.59) Acct: 4.17 (4.21) proj_loss: -0.5931 (-0.5916) time: 0.3636 data: 0.0020
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.48 Lm: 6.804 (6.813) Lt: 6.148 (6.116) Accm: 2.64 (2.65) Acct: 4.27 (4.25) proj_loss: -0.5942 (-0.5984) time: 0.3636 data: 0.0021
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 233/350] [1668/1669] eta: 0:00:00 tlr: 8.7e-05 tnm: 0.48 Lm: 6.854 (6.831) Lt: 6.189 (6.161) Accm: 2.66 (2.59) Acct: 4.25 (4.12) proj_loss: -0.6079 (-0.6061) time: 0.3636 data: 0.0017
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:10:24 (0.374 s / it)
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:10:24 (0.374 s / it)
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 233/350] Total time: 0:10:24 (0.374 s / it)
[11-27 01:37:27] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.817 (6.825), Lt: 6.111 (6.122), Acc m&t: 2.63 4.13, Remain: 19:34:13, Finish: 2024-11-27 05:11
[11-27 01:37:27] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.817 (6.825), Lt: 6.111 (6.122), Acc m&t: 2.63 4.13, Remain: 19:34:16, Finish: 2024-11-27 05:11
[11-27 01:37:27] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.817 (6.825), Lt: 6.111 (6.122), Acc m&t: 2.63 4.13, Remain: 19:34:13, Finish: 2024-11-27 05:11
[11-27 01:37:27] (/home/user/VAR/train.py , line 276)=> [ep233] (training ) Lm: 6.817 (6.825), Lt: 6.111 (6.122), Acc m&t: 2.63 4.13, Remain: 19:34:17, Finish: 2024-11-27 05:11
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:09:50 tlr: 8.7e-05 tnm: 0.48 Lm: 6.731 (6.731) Lt: 5.990 (5.990) Accm: 2.91 (2.91) Acct: 4.60 (4.60) proj_loss: -0.5940 (-0.5940) time: 0.3539 data: 0.0003
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:09:58 tlr: 8.7e-05 tnm: 0.48 Lm: 6.918 (6.918) Lt: 6.243 (6.243) Accm: 2.44 (2.44) Acct: 3.46 (3.46) proj_loss: -0.6011 (-0.6011) time: 0.3588 data: 0.0004
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:09:59 tlr: 8.7e-05 tnm: 0.48 Lm: 6.817 (6.817) Lt: 6.115 (6.115) Accm: 2.75 (2.75) Acct: 4.49 (4.49) proj_loss: -0.5936 (-0.5936) time: 0.3591 data: 0.0003
[11-27 01:37:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 0/1669] eta: 0:09:59 tlr: 8.7e-05 tnm: 0.48 Lm: 6.903 (6.903) Lt: 6.215 (6.215) Accm: 2.48 (2.48) Acct: 3.70 (3.70) proj_loss: -0.5933 (-0.5933) time: 0.3594 data: 0.0003
[11-27 01:39:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:07:32 tlr: 8.7e-05 tnm: 0.48 Lm: 6.791 (6.791) Lt: 6.114 (6.114) Accm: 2.60 (2.60) Acct: 4.10 (4.10) proj_loss: -0.6069 (-0.6069) time: 0.3632 data: 0.0003
[11-27 01:39:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:07:32 tlr: 8.7e-05 tnm: 0.48 Lm: 6.953 (6.953) Lt: 6.256 (6.256) Accm: 2.38 (2.38) Acct: 3.56 (3.56) proj_loss: -0.5909 (-0.5909) time: 0.3632 data: 0.0002
[11-27 01:39:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:07:32 tlr: 8.7e-05 tnm: 0.48 Lm: 6.782 (6.782) Lt: 6.077 (6.077) Accm: 2.76 (2.76) Acct: 4.36 (4.36) proj_loss: -0.6035 (-0.6035) time: 0.3632 data: 0.0003
[11-27 01:39:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 417/1669] eta: 0:07:32 tlr: 8.7e-05 tnm: 0.48 Lm: 6.839 (6.839) Lt: 6.148 (6.148) Accm: 2.58 (2.58) Acct: 4.25 (4.25) proj_loss: -0.5917 (-0.5917) time: 0.3632 data: 0.0003
[11-27 01:42:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:05:01 tlr: 8.7e-05 tnm: 0.48 Lm: 6.817 (6.773) Lt: 6.115 (6.090) Accm: 2.75 (2.77) Acct: 4.49 (4.38) proj_loss: -0.5936 (-0.5942) time: 0.3611 data: 0.0003
[11-27 01:42:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:05:01 tlr: 8.7e-05 tnm: 0.48 Lm: 6.918 (6.894) Lt: 6.243 (6.195) Accm: 2.44 (2.56) Acct: 3.65 (3.88) proj_loss: -0.6011 (-0.5946) time: 0.3611 data: 0.0003
[11-27 01:42:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:05:01 tlr: 8.7e-05 tnm: 0.48 Lm: 6.758 (6.780) Lt: 6.024 (6.084) Accm: 2.72 (2.68) Acct: 4.49 (4.29) proj_loss: -0.5953 (-0.6031) time: 0.3611 data: 0.0003
[11-27 01:42:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [ 834/1669] eta: 0:05:01 tlr: 8.7e-05 tnm: 0.48 Lm: 6.731 (6.715) Lt: 5.990 (6.009) Accm: 2.91 (2.87) Acct: 4.60 (4.45) proj_loss: -0.5940 (-0.5977) time: 0.3611 data: 0.0003
[11-27 01:44:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:02:30 tlr: 8.6e-05 tnm: 0.47 Lm: 6.748 (6.728) Lt: 6.046 (6.033) Accm: 2.86 (2.85) Acct: 4.42 (4.39) proj_loss: -0.6028 (-0.6012) time: 0.3616 data: 0.0003
[11-27 01:44:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:02:30 tlr: 8.6e-05 tnm: 0.47 Lm: 6.847 (6.854) Lt: 6.158 (6.161) Accm: 2.61 (2.62) Acct: 3.99 (3.99) proj_loss: -0.6016 (-0.5982) time: 0.3616 data: 0.0003
[11-27 01:44:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:02:30 tlr: 8.6e-05 tnm: 0.47 Lm: 6.787 (6.789) Lt: 6.081 (6.097) Accm: 2.61 (2.63) Acct: 4.14 (4.16) proj_loss: -0.5943 (-0.5997) time: 0.3616 data: 0.0003
[11-27 01:44:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1251/1669] eta: 0:02:30 tlr: 8.6e-05 tnm: 0.47 Lm: 6.839 (6.814) Lt: 6.148 (6.134) Accm: 2.60 (2.69) Acct: 4.25 (4.26) proj_loss: -0.5917 (-0.5888) time: 0.3616 data: 0.0003
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.48 Lm: 6.862 (6.827) Lt: 6.182 (6.154) Accm: 2.44 (2.64) Acct: 4.01 (4.16) proj_loss: -0.5927 (-0.5896) time: 0.3633 data: 0.0015
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:10:02 (0.361 s / it)
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.48 Lm: 6.766 (6.760) Lt: 6.103 (6.068) Accm: 2.80 (2.79) Acct: 4.24 (4.30) proj_loss: -0.5974 (-0.6004) time: 0.3632 data: 0.0018
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.48 Lm: 6.918 (6.891) Lt: 6.243 (6.199) Accm: 2.44 (2.52) Acct: 3.65 (3.91) proj_loss: -0.6011 (-0.5987) time: 0.3633 data: 0.0020
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 234/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.48 Lm: 6.758 (6.774) Lt: 6.033 (6.085) Accm: 2.72 (2.67) Acct: 4.48 (4.23) proj_loss: -0.5953 (-0.5989) time: 0.3632 data: 0.0019
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:10:02 (0.361 s / it)
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:10:02 (0.361 s / it)
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 234/350] Total time: 0:10:02 (0.361 s / it)
[11-27 01:47:30] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.119), Acc m&t: 2.63 4.13, Remain: 19:27:12, Finish: 2024-11-27 05:14
[11-27 01:47:30] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.119), Acc m&t: 2.63 4.13, Remain: 19:26:54, Finish: 2024-11-27 05:14
[11-27 01:47:30] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.119), Acc m&t: 2.63 4.13, Remain: 19:26:25, Finish: 2024-11-27 05:13
[11-27 01:47:30] (/home/user/VAR/train.py , line 276)=> [ep234] (training ) Lm: 6.817 (6.821), Lt: 6.111 (6.119), Acc m&t: 2.63 4.13, Remain: 19:27:04, Finish: 2024-11-27 05:14
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:09:33 tlr: 8.6e-05 tnm: 0.49 Lm: 6.791 (6.791) Lt: 6.065 (6.065) Accm: 2.40 (2.40) Acct: 3.74 (3.74) proj_loss: -0.5630 (-0.5630) time: 0.3438 data: 0.0004
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:09:34 tlr: 8.6e-05 tnm: 0.49 Lm: 6.826 (6.826) Lt: 6.170 (6.170) Accm: 2.67 (2.67) Acct: 4.13 (4.13) proj_loss: -0.5889 (-0.5889) time: 0.3443 data: 0.0004
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:09:26 tlr: 8.6e-05 tnm: 0.49 Lm: 6.687 (6.687) Lt: 5.988 (5.988) Accm: 3.02 (3.02) Acct: 4.56 (4.56) proj_loss: -0.5952 (-0.5952) time: 0.3394 data: 0.0003
[11-27 01:47:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 0/1669] eta: 0:09:36 tlr: 8.6e-05 tnm: 0.49 Lm: 6.836 (6.836) Lt: 6.147 (6.147) Accm: 2.80 (2.80) Acct: 4.29 (4.29) proj_loss: -0.5870 (-0.5870) time: 0.3451 data: 0.0004
[11-27 01:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:07:32 tlr: 8.6e-05 tnm: 0.49 Lm: 6.832 (6.832) Lt: 6.119 (6.119) Accm: 2.83 (2.83) Acct: 4.36 (4.36) proj_loss: -0.5863 (-0.5863) time: 0.3631 data: 0.0003
[11-27 01:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:07:32 tlr: 8.6e-05 tnm: 0.49 Lm: 6.844 (6.844) Lt: 6.171 (6.171) Accm: 2.50 (2.50) Acct: 3.87 (3.87) proj_loss: -0.5956 (-0.5956) time: 0.3631 data: 0.0003
[11-27 01:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:07:32 tlr: 8.6e-05 tnm: 0.49 Lm: 6.777 (6.777) Lt: 6.067 (6.067) Accm: 2.71 (2.71) Acct: 4.25 (4.25) proj_loss: -0.5959 (-0.5959) time: 0.3631 data: 0.0002
[11-27 01:50:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 417/1669] eta: 0:07:32 tlr: 8.6e-05 tnm: 0.49 Lm: 6.789 (6.789) Lt: 6.087 (6.087) Accm: 2.52 (2.52) Acct: 3.96 (3.96) proj_loss: -0.5870 (-0.5870) time: 0.3631 data: 0.0003
[11-27 01:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:05:01 tlr: 8.6e-05 tnm: 0.46 Lm: 6.788 (6.779) Lt: 6.065 (6.064) Accm: 2.64 (2.60) Acct: 4.18 (4.07) proj_loss: -0.6107 (-0.5949) time: 0.3602 data: 0.0003
[11-27 01:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:05:01 tlr: 8.6e-05 tnm: 0.46 Lm: 6.826 (6.827) Lt: 6.170 (6.159) Accm: 2.43 (2.48) Acct: 3.74 (3.82) proj_loss: -0.6022 (-0.5978) time: 0.3602 data: 0.0003
[11-27 01:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:05:01 tlr: 8.6e-05 tnm: 0.46 Lm: 6.866 (6.807) Lt: 6.143 (6.092) Accm: 2.53 (2.65) Acct: 4.27 (4.26) proj_loss: -0.5952 (-0.5929) time: 0.3602 data: 0.0003
[11-27 01:52:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [ 834/1669] eta: 0:05:01 tlr: 8.6e-05 tnm: 0.46 Lm: 6.828 (6.827) Lt: 6.092 (6.108) Accm: 2.80 (2.74) Acct: 4.29 (4.24) proj_loss: -0.5870 (-0.5879) time: 0.3602 data: 0.0003
[11-27 01:55:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:02:33 tlr: 8.6e-05 tnm: 0.47 Lm: 6.827 (6.827) Lt: 6.115 (6.115) Accm: 2.80 (2.75) Acct: 4.28 (4.25) proj_loss: -0.5891 (-0.5916) time: 0.4043 data: 0.0003
[11-27 01:55:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:02:33 tlr: 8.6e-05 tnm: 0.47 Lm: 6.868 (6.831) Lt: 6.145 (6.121) Accm: 2.47 (2.59) Acct: 4.11 (4.13) proj_loss: -0.5911 (-0.5884) time: 0.4043 data: 0.0003
[11-27 01:55:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:02:33 tlr: 8.6e-05 tnm: 0.47 Lm: 6.844 (6.865) Lt: 6.171 (6.201) Accm: 2.43 (2.46) Acct: 3.69 (3.78) proj_loss: -0.6023 (-0.6031) time: 0.4043 data: 0.0003
[11-27 01:55:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1251/1669] eta: 0:02:33 tlr: 8.6e-05 tnm: 0.47 Lm: 6.789 (6.794) Lt: 6.087 (6.087) Accm: 2.52 (2.54) Acct: 3.96 (3.92) proj_loss: -0.5918 (-0.5894) time: 0.4043 data: 0.0003
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.46 Lm: 6.791 (6.810) Lt: 6.110 (6.100) Accm: 2.53 (2.54) Acct: 4.18 (3.98) proj_loss: -0.5856 (-0.5887) time: 0.3614 data: 0.0015
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:10:15 (0.369 s / it)
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.46 Lm: 6.828 (6.852) Lt: 6.138 (6.143) Accm: 2.79 (2.64) Acct: 4.27 (4.15) proj_loss: -0.5911 (-0.5922) time: 0.3614 data: 0.0017
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.46 Lm: 6.866 (6.837) Lt: 6.147 (6.129) Accm: 2.51 (2.57) Acct: 3.96 (4.09) proj_loss: -0.5869 (-0.5866) time: 0.3614 data: 0.0023
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 235/350] [1668/1669] eta: 0:00:00 tlr: 8.6e-05 tnm: 0.46 Lm: 6.862 (6.869) Lt: 6.171 (6.201) Accm: 2.43 (2.44) Acct: 3.70 (3.76) proj_loss: -0.6022 (-0.6016) time: 0.3614 data: 0.0019
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:10:15 (0.369 s / it)
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:10:15 (0.369 s / it)
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 235/350] Total time: 0:10:15 (0.369 s / it)
[11-27 01:57:46] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.817 (6.823), Lt: 6.111 (6.120), Acc m&t: 2.63 4.13, Remain: 19:07:42, Finish: 2024-11-27 05:05
[11-27 01:57:46] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.817 (6.823), Lt: 6.111 (6.120), Acc m&t: 2.63 4.13, Remain: 19:07:24, Finish: 2024-11-27 05:05
[11-27 01:57:46] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.817 (6.823), Lt: 6.111 (6.120), Acc m&t: 2.63 4.13, Remain: 19:07:32, Finish: 2024-11-27 05:05
[11-27 01:57:46] (/home/user/VAR/train.py , line 276)=> [ep235] (training ) Lm: 6.817 (6.823), Lt: 6.111 (6.120), Acc m&t: 2.63 4.13, Remain: 19:07:12, Finish: 2024-11-27 05:04
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:09:36 tlr: 8.6e-05 tnm: 0.46 Lm: 6.952 (6.952) Lt: 6.247 (6.247) Accm: 2.03 (2.03) Acct: 3.32 (3.32) proj_loss: -0.6107 (-0.6107) time: 0.3455 data: 0.0003
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:10:27 tlr: 8.6e-05 tnm: 0.46 Lm: 6.730 (6.730) Lt: 6.016 (6.016) Accm: 2.81 (2.81) Acct: 4.25 (4.25) proj_loss: -0.6011 (-0.6011) time: 0.3761 data: 0.0003
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:09:48 tlr: 8.6e-05 tnm: 0.46 Lm: 6.872 (6.872) Lt: 6.242 (6.242) Accm: 2.21 (2.21) Acct: 3.55 (3.55) proj_loss: -0.5859 (-0.5859) time: 0.3526 data: 0.0003
[11-27 01:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 0/1669] eta: 0:09:27 tlr: 8.6e-05 tnm: 0.46 Lm: 6.853 (6.853) Lt: 6.113 (6.113) Accm: 2.54 (2.54) Acct: 3.93 (3.93) proj_loss: -0.5982 (-0.5982) time: 0.3399 data: 0.0004
[11-27 02:00:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:07:50 tlr: 8.5e-05 tnm: 0.49 Lm: 6.842 (6.842) Lt: 6.152 (6.152) Accm: 2.52 (2.52) Acct: 3.81 (3.81) proj_loss: -0.6124 (-0.6124) time: 0.3617 data: 0.0003
[11-27 02:00:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:07:50 tlr: 8.5e-05 tnm: 0.49 Lm: 6.785 (6.785) Lt: 6.061 (6.061) Accm: 2.68 (2.68) Acct: 4.18 (4.18) proj_loss: -0.5940 (-0.5940) time: 0.3617 data: 0.0003
[11-27 02:00:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:07:50 tlr: 8.5e-05 tnm: 0.49 Lm: 6.846 (6.846) Lt: 6.155 (6.155) Accm: 2.48 (2.48) Acct: 3.85 (3.85) proj_loss: -0.5932 (-0.5932) time: 0.3617 data: 0.0003
[11-27 02:00:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 417/1669] eta: 0:07:50 tlr: 8.5e-05 tnm: 0.49 Lm: 6.893 (6.893) Lt: 6.203 (6.203) Accm: 2.38 (2.38) Acct: 3.85 (3.85) proj_loss: -0.6122 (-0.6122) time: 0.3617 data: 0.0003
[11-27 02:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:05:17 tlr: 8.5e-05 tnm: 0.48 Lm: 6.834 (6.866) Lt: 6.159 (6.183) Accm: 2.52 (2.43) Acct: 4.05 (3.91) proj_loss: -0.6107 (-0.6111) time: 0.3612 data: 0.0003
[11-27 02:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:05:17 tlr: 8.5e-05 tnm: 0.48 Lm: 6.840 (6.867) Lt: 6.106 (6.160) Accm: 2.54 (2.51) Acct: 4.12 (3.95) proj_loss: -0.6011 (-0.6001) time: 0.3613 data: 0.0002
[11-27 02:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:05:17 tlr: 8.5e-05 tnm: 0.48 Lm: 6.839 (6.841) Lt: 6.127 (6.144) Accm: 2.53 (2.52) Acct: 3.93 (3.94) proj_loss: -0.5982 (-0.6041) time: 0.3613 data: 0.0003
[11-27 02:03:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [ 834/1669] eta: 0:05:17 tlr: 8.5e-05 tnm: 0.48 Lm: 6.820 (6.756) Lt: 6.067 (6.059) Accm: 2.75 (2.78) Acct: 4.15 (4.20) proj_loss: -0.5943 (-0.5936) time: 0.3612 data: 0.0003
[11-27 02:05:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:02:37 tlr: 8.5e-05 tnm: 0.48 Lm: 6.788 (6.756) Lt: 6.070 (6.063) Accm: 2.68 (2.74) Acct: 4.05 (4.14) proj_loss: -0.5975 (-0.5973) time: 0.3615 data: 0.0003
[11-27 02:05:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:02:37 tlr: 8.5e-05 tnm: 0.48 Lm: 6.804 (6.842) Lt: 6.075 (6.131) Accm: 2.67 (2.58) Acct: 4.18 (4.09) proj_loss: -0.6016 (-0.6006) time: 0.3615 data: 0.0002
[11-27 02:05:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:02:37 tlr: 8.5e-05 tnm: 0.48 Lm: 6.835 (6.822) Lt: 6.120 (6.131) Accm: 2.53 (2.61) Acct: 4.07 (4.06) proj_loss: -0.5958 (-0.6014) time: 0.3615 data: 0.0003
[11-27 02:05:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1251/1669] eta: 0:02:37 tlr: 8.5e-05 tnm: 0.48 Lm: 6.823 (6.847) Lt: 6.151 (6.158) Accm: 2.55 (2.46) Acct: 3.98 (3.91) proj_loss: -0.6098 (-0.6047) time: 0.3615 data: 0.0003
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.48 Lm: 6.812 (6.838) Lt: 6.143 (6.143) Accm: 2.58 (2.52) Acct: 4.05 (3.97) proj_loss: -0.6089 (-0.6033) time: 0.3622 data: 0.0013
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:10:23 (0.374 s / it)
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.48 Lm: 6.830 (6.815) Lt: 6.113 (6.114) Accm: 2.54 (2.62) Acct: 4.17 (4.08) proj_loss: -0.5936 (-0.5999) time: 0.3622 data: 0.0016
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.48 Lm: 6.823 (6.838) Lt: 6.106 (6.133) Accm: 2.61 (2.59) Acct: 4.25 (4.13) proj_loss: -0.6011 (-0.5984) time: 0.3622 data: 0.0020
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 236/350] [1668/1669] eta: 0:00:00 tlr: 8.5e-05 tnm: 0.48 Lm: 6.757 (6.734) Lt: 6.067 (6.026) Accm: 2.75 (2.80) Acct: 4.15 (4.34) proj_loss: -0.5943 (-0.5938) time: 0.3622 data: 0.0019
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:10:23 (0.374 s / it)
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:10:23 (0.374 s / it)
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 236/350] Total time: 0:10:23 (0.374 s / it)
[11-27 02:08:10] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.817 (6.818), Lt: 6.111 (6.114), Acc m&t: 2.63 4.13, Remain: 19:06:15, Finish: 2024-11-27 05:14
[11-27 02:08:10] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.817 (6.818), Lt: 6.111 (6.114), Acc m&t: 2.63 4.13, Remain: 19:06:12, Finish: 2024-11-27 05:14
[11-27 02:08:10] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.817 (6.818), Lt: 6.111 (6.114), Acc m&t: 2.63 4.13, Remain: 19:06:23, Finish: 2024-11-27 05:14
[11-27 02:08:10] (/home/user/VAR/train.py , line 276)=> [ep236] (training ) Lm: 6.817 (6.818), Lt: 6.111 (6.114), Acc m&t: 2.63 4.13, Remain: 19:06:28, Finish: 2024-11-27 05:14
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:09:29 tlr: 8.5e-05 tnm: 0.48 Lm: 6.943 (6.943) Lt: 6.234 (6.234) Accm: 2.37 (2.37) Acct: 3.84 (3.84) proj_loss: -0.5870 (-0.5870) time: 0.3412 data: 0.0004
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:10:18 tlr: 8.5e-05 tnm: 0.48 Lm: 6.789 (6.789) Lt: 6.085 (6.085) Accm: 2.48 (2.48) Acct: 3.98 (3.98) proj_loss: -0.5923 (-0.5923) time: 0.3706 data: 0.0004
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:10:18 tlr: 8.5e-05 tnm: 0.48 Lm: 6.825 (6.825) Lt: 6.121 (6.121) Accm: 2.83 (2.83) Acct: 4.70 (4.70) proj_loss: -0.6236 (-0.6236) time: 0.3707 data: 0.0003
[11-27 02:08:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 0/1669] eta: 0:10:21 tlr: 8.5e-05 tnm: 0.48 Lm: 6.832 (6.832) Lt: 6.155 (6.155) Accm: 2.46 (2.46) Acct: 3.67 (3.67) proj_loss: -0.5933 (-0.5933) time: 0.3721 data: 0.0004
[11-27 02:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:07:33 tlr: 8.5e-05 tnm: 0.47 Lm: 6.837 (6.837) Lt: 6.141 (6.141) Accm: 2.51 (2.51) Acct: 3.86 (3.86) proj_loss: -0.5985 (-0.5985) time: 0.3646 data: 0.0003
[11-27 02:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:07:33 tlr: 8.5e-05 tnm: 0.47 Lm: 6.831 (6.831) Lt: 6.149 (6.149) Accm: 2.51 (2.51) Acct: 4.06 (4.06) proj_loss: -0.5960 (-0.5960) time: 0.3646 data: 0.0003
[11-27 02:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:07:33 tlr: 8.5e-05 tnm: 0.47 Lm: 6.832 (6.832) Lt: 6.088 (6.088) Accm: 2.79 (2.79) Acct: 4.43 (4.43) proj_loss: -0.5896 (-0.5896) time: 0.3646 data: 0.0003
[11-27 02:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 417/1669] eta: 0:07:33 tlr: 8.5e-05 tnm: 0.47 Lm: 6.825 (6.825) Lt: 6.118 (6.118) Accm: 2.82 (2.82) Acct: 4.62 (4.62) proj_loss: -0.6155 (-0.6155) time: 0.3646 data: 0.0003
[11-27 02:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:05:02 tlr: 8.4e-05 tnm: 0.47 Lm: 6.825 (6.778) Lt: 6.116 (6.077) Accm: 2.83 (2.92) Acct: 4.65 (4.63) proj_loss: -0.6181 (-0.6164) time: 0.3614 data: 0.0003
[11-27 02:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:05:02 tlr: 8.4e-05 tnm: 0.47 Lm: 6.797 (6.820) Lt: 6.085 (6.121) Accm: 2.54 (2.58) Acct: 4.15 (4.10) proj_loss: -0.5923 (-0.5909) time: 0.3614 data: 0.0003
[11-27 02:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:05:02 tlr: 8.4e-05 tnm: 0.47 Lm: 6.728 (6.797) Lt: 6.017 (6.065) Accm: 2.94 (2.84) Acct: 4.48 (4.45) proj_loss: -0.5921 (-0.5920) time: 0.3614 data: 0.0003
[11-27 02:13:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [ 834/1669] eta: 0:05:02 tlr: 8.4e-05 tnm: 0.47 Lm: 6.832 (6.821) Lt: 6.127 (6.128) Accm: 2.56 (2.54) Acct: 4.05 (4.05) proj_loss: -0.6037 (-0.6006) time: 0.3614 data: 0.0003
[11-27 02:15:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:02:31 tlr: 8.4e-05 tnm: 0.48 Lm: 6.817 (6.816) Lt: 6.135 (6.132) Accm: 2.51 (2.49) Acct: 3.86 (3.91) proj_loss: -0.6042 (-0.6036) time: 0.3607 data: 0.0003
[11-27 02:15:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:02:31 tlr: 8.4e-05 tnm: 0.48 Lm: 6.835 (6.860) Lt: 6.149 (6.166) Accm: 2.51 (2.48) Acct: 4.06 (3.92) proj_loss: -0.5884 (-0.5894) time: 0.3607 data: 0.0002
[11-27 02:15:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:02:31 tlr: 8.4e-05 tnm: 0.48 Lm: 6.755 (6.741) Lt: 6.055 (6.023) Accm: 2.95 (2.95) Acct: 4.67 (4.66) proj_loss: -0.6128 (-0.6113) time: 0.3607 data: 0.0003
[11-27 02:15:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1251/1669] eta: 0:02:31 tlr: 8.4e-05 tnm: 0.48 Lm: 6.771 (6.801) Lt: 6.056 (6.072) Accm: 2.78 (2.78) Acct: 4.17 (4.30) proj_loss: -0.5945 (-0.5978) time: 0.3607 data: 0.0002
[11-27 02:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.51 Lm: 6.814 (6.811) Lt: 6.095 (6.085) Accm: 2.61 (2.70) Acct: 3.86 (4.20) proj_loss: -0.5969 (-0.5979) time: 0.3634 data: 0.0015
[11-27 02:18:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:10:03 (0.362 s / it)
[11-27 02:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.51 Lm: 6.873 (6.891) Lt: 6.213 (6.194) Accm: 2.48 (2.37) Acct: 3.98 (3.80) proj_loss: -0.5906 (-0.5896) time: 0.3634 data: 0.0016
[11-27 02:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.51 Lm: 6.765 (6.746) Lt: 6.010 (6.020) Accm: 2.83 (2.87) Acct: 4.65 (4.57) proj_loss: -0.6074 (-0.6089) time: 0.3634 data: 0.0034
[11-27 02:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 237/350] [1668/1669] eta: 0:00:00 tlr: 8.4e-05 tnm: 0.51 Lm: 6.801 (6.810) Lt: 6.127 (6.122) Accm: 2.52 (2.49) Acct: 3.82 (3.89) proj_loss: -0.6037 (-0.6014) time: 0.3634 data: 0.0016
[11-27 02:18:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:10:03 (0.362 s / it)
[11-27 02:18:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:10:03 (0.362 s / it)
[11-27 02:18:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 237/350] Total time: 0:10:03 (0.362 s / it)
[11-27 02:18:14] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.817 (6.825), Lt: 6.111 (6.115), Acc m&t: 2.63 4.13, Remain: 18:57:10, Finish: 2024-11-27 05:15
[11-27 02:18:14] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.817 (6.825), Lt: 6.111 (6.115), Acc m&t: 2.63 4.13, Remain: 18:57:37, Finish: 2024-11-27 05:15
[11-27 02:18:14] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.817 (6.825), Lt: 6.111 (6.115), Acc m&t: 2.63 4.13, Remain: 18:57:52, Finish: 2024-11-27 05:16
[11-27 02:18:14] (/home/user/VAR/train.py , line 276)=> [ep237] (training ) Lm: 6.817 (6.825), Lt: 6.111 (6.115), Acc m&t: 2.63 4.13, Remain: 18:57:47, Finish: 2024-11-27 05:16
[11-27 02:18:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:10:05 tlr: 8.4e-05 tnm: 0.50 Lm: 6.848 (6.848) Lt: 6.140 (6.140) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.6003 (-0.6003) time: 0.3628 data: 0.0003
[11-27 02:18:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:10:04 tlr: 8.4e-05 tnm: 0.50 Lm: 6.750 (6.750) Lt: 5.995 (5.995) Accm: 2.82 (2.82) Acct: 4.53 (4.53) proj_loss: -0.6057 (-0.6057) time: 0.3620 data: 0.0004
[11-27 02:18:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:10:30 tlr: 8.4e-05 tnm: 0.50 Lm: 6.753 (6.753) Lt: 6.037 (6.037) Accm: 2.58 (2.58) Acct: 3.91 (3.91) proj_loss: -0.5865 (-0.5865) time: 0.3780 data: 0.0003
[11-27 02:18:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 0/1669] eta: 0:10:05 tlr: 8.4e-05 tnm: 0.50 Lm: 6.894 (6.894) Lt: 6.131 (6.131) Accm: 2.37 (2.37) Acct: 3.75 (3.75) proj_loss: -0.5707 (-0.5707) time: 0.3629 data: 0.0003
[11-27 02:20:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:07:32 tlr: 8.4e-05 tnm: 0.48 Lm: 6.847 (6.847) Lt: 6.117 (6.117) Accm: 2.39 (2.39) Acct: 3.80 (3.80) proj_loss: -0.5843 (-0.5843) time: 0.3607 data: 0.0003
[11-27 02:20:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:07:32 tlr: 8.4e-05 tnm: 0.48 Lm: 6.814 (6.814) Lt: 6.090 (6.090) Accm: 2.62 (2.62) Acct: 4.17 (4.17) proj_loss: -0.5994 (-0.5994) time: 0.3607 data: 0.0003
[11-27 02:20:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:07:32 tlr: 8.4e-05 tnm: 0.48 Lm: 6.832 (6.832) Lt: 6.126 (6.126) Accm: 2.62 (2.62) Acct: 4.28 (4.28) proj_loss: -0.5963 (-0.5963) time: 0.3607 data: 0.0003
[11-27 02:20:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 417/1669] eta: 0:07:32 tlr: 8.4e-05 tnm: 0.48 Lm: 6.776 (6.776) Lt: 6.058 (6.058) Accm: 2.60 (2.60) Acct: 3.99 (3.99) proj_loss: -0.5910 (-0.5910) time: 0.3607 data: 0.0003
[11-27 02:23:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:05:06 tlr: 8.4e-05 tnm: 0.51 Lm: 6.800 (6.811) Lt: 6.078 (6.107) Accm: 2.58 (2.55) Acct: 3.91 (3.97) proj_loss: -0.5956 (-0.5934) time: 0.3610 data: 0.0003
[11-27 02:23:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:05:05 tlr: 8.4e-05 tnm: 0.51 Lm: 6.877 (6.835) Lt: 6.130 (6.103) Accm: 2.45 (2.56) Acct: 4.13 (4.16) proj_loss: -0.5931 (-0.5909) time: 0.3610 data: 0.0002
[11-27 02:23:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:05:05 tlr: 8.4e-05 tnm: 0.51 Lm: 6.894 (6.863) Lt: 6.131 (6.155) Accm: 2.41 (2.53) Acct: 3.84 (4.03) proj_loss: -0.5827 (-0.5838) time: 0.3610 data: 0.0003
[11-27 02:23:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [ 834/1669] eta: 0:05:05 tlr: 8.4e-05 tnm: 0.51 Lm: 6.848 (6.838) Lt: 6.113 (6.106) Accm: 2.66 (2.67) Acct: 4.32 (4.29) proj_loss: -0.5937 (-0.5954) time: 0.3610 data: 0.0003
[11-27 02:25:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:02:33 tlr: 8.4e-05 tnm: 0.49 Lm: 6.849 (6.871) Lt: 6.126 (6.152) Accm: 2.62 (2.60) Acct: 4.25 (4.11) proj_loss: -0.5970 (-0.6021) time: 0.4022 data: 0.0003
[11-27 02:25:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:02:33 tlr: 8.4e-05 tnm: 0.49 Lm: 6.847 (6.844) Lt: 6.117 (6.130) Accm: 2.60 (2.67) Acct: 4.17 (4.27) proj_loss: -0.5903 (-0.5888) time: 0.4022 data: 0.0003
[11-27 02:25:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:02:33 tlr: 8.4e-05 tnm: 0.49 Lm: 6.813 (6.790) Lt: 6.063 (6.073) Accm: 2.64 (2.74) Acct: 4.33 (4.33) proj_loss: -0.5913 (-0.5905) time: 0.4022 data: 0.0002
[11-27 02:25:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1251/1669] eta: 0:02:33 tlr: 8.4e-05 tnm: 0.49 Lm: 6.779 (6.798) Lt: 6.078 (6.100) Accm: 2.60 (2.65) Acct: 3.99 (4.09) proj_loss: -0.5968 (-0.5962) time: 0.4022 data: 0.0002
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.757 (6.788) Lt: 6.078 (6.104) Accm: 2.63 (2.72) Acct: 4.08 (4.16) proj_loss: -0.5981 (-0.5969) time: 0.3648 data: 0.0016
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:10:19 (0.371 s / it)
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.750 (6.755) Lt: 5.995 (6.032) Accm: 2.82 (2.84) Acct: 4.53 (4.48) proj_loss: -0.5894 (-0.5888) time: 0.3648 data: 0.0020
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.848 (6.862) Lt: 6.140 (6.159) Accm: 2.59 (2.58) Acct: 4.18 (3.99) proj_loss: -0.6003 (-0.6055) time: 0.3648 data: 0.0021
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 238/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.894 (6.864) Lt: 6.131 (6.155) Accm: 2.41 (2.59) Acct: 3.84 (4.16) proj_loss: -0.5856 (-0.5882) time: 0.3649 data: 0.0019
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:10:19 (0.371 s / it)
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:10:19 (0.371 s / it)
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 238/350] Total time: 0:10:19 (0.371 s / it)
[11-27 02:28:33] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.814 (6.814), Lt: 6.111 (6.111), Acc m&t: 2.65 4.13, Remain: 18:49:16, Finish: 2024-11-27 05:17
[11-27 02:28:33] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.814 (6.814), Lt: 6.111 (6.111), Acc m&t: 2.65 4.13, Remain: 18:49:24, Finish: 2024-11-27 05:17
[11-27 02:28:33] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.814 (6.814), Lt: 6.111 (6.111), Acc m&t: 2.65 4.13, Remain: 18:49:41, Finish: 2024-11-27 05:18
[11-27 02:28:33] (/home/user/VAR/train.py , line 276)=> [ep238] (training ) Lm: 6.814 (6.814), Lt: 6.111 (6.111), Acc m&t: 2.65 4.13, Remain: 18:49:10, Finish: 2024-11-27 05:17
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:09:34 tlr: 8.3e-05 tnm: 0.46 Lm: 6.804 (6.804) Lt: 6.150 (6.150) Accm: 2.52 (2.52) Acct: 3.68 (3.68) proj_loss: -0.6314 (-0.6314) time: 0.3444 data: 0.0003
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:09:35 tlr: 8.3e-05 tnm: 0.46 Lm: 6.762 (6.762) Lt: 6.066 (6.066) Accm: 2.78 (2.78) Acct: 4.37 (4.37) proj_loss: -0.5666 (-0.5666) time: 0.3446 data: 0.0004
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:09:35 tlr: 8.3e-05 tnm: 0.46 Lm: 6.733 (6.733) Lt: 6.008 (6.008) Accm: 2.96 (2.96) Acct: 4.60 (4.60) proj_loss: -0.5949 (-0.5949) time: 0.3448 data: 0.0004
[11-27 02:28:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 0/1669] eta: 0:09:35 tlr: 8.3e-05 tnm: 0.46 Lm: 6.824 (6.824) Lt: 6.110 (6.110) Accm: 2.73 (2.73) Acct: 4.37 (4.37) proj_loss: -0.6148 (-0.6148) time: 0.3448 data: 0.0004
[11-27 02:31:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:07:52 tlr: 8.3e-05 tnm: 0.51 Lm: 6.860 (6.860) Lt: 6.171 (6.171) Accm: 2.58 (2.58) Acct: 3.99 (3.99) proj_loss: -0.6038 (-0.6038) time: 0.3638 data: 0.0003
[11-27 02:31:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:07:52 tlr: 8.3e-05 tnm: 0.51 Lm: 6.779 (6.779) Lt: 6.073 (6.073) Accm: 2.70 (2.70) Acct: 4.30 (4.30) proj_loss: -0.5708 (-0.5708) time: 0.3638 data: 0.0003
[11-27 02:31:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:07:52 tlr: 8.3e-05 tnm: 0.51 Lm: 6.704 (6.704) Lt: 5.980 (5.980) Accm: 2.95 (2.95) Acct: 4.55 (4.55) proj_loss: -0.6080 (-0.6080) time: 0.3638 data: 0.0003
[11-27 02:31:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 417/1669] eta: 0:07:52 tlr: 8.3e-05 tnm: 0.51 Lm: 6.814 (6.814) Lt: 6.116 (6.116) Accm: 2.61 (2.61) Acct: 3.84 (3.84) proj_loss: -0.6087 (-0.6087) time: 0.3638 data: 0.0002
[11-27 02:33:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:05:17 tlr: 8.3e-05 tnm: 0.47 Lm: 6.824 (6.831) Lt: 6.120 (6.118) Accm: 2.52 (2.55) Acct: 3.99 (3.97) proj_loss: -0.5869 (-0.6014) time: 0.3628 data: 0.0003
[11-27 02:33:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:05:17 tlr: 8.3e-05 tnm: 0.47 Lm: 6.762 (6.767) Lt: 6.066 (6.049) Accm: 2.78 (2.74) Acct: 4.37 (4.39) proj_loss: -0.5751 (-0.5847) time: 0.3628 data: 0.0003
[11-27 02:33:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:05:17 tlr: 8.3e-05 tnm: 0.47 Lm: 6.733 (6.765) Lt: 6.008 (6.055) Accm: 2.95 (2.80) Acct: 4.51 (4.37) proj_loss: -0.6007 (-0.6056) time: 0.3628 data: 0.0002
[11-27 02:33:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [ 834/1669] eta: 0:05:17 tlr: 8.3e-05 tnm: 0.47 Lm: 6.895 (6.884) Lt: 6.223 (6.189) Accm: 2.48 (2.55) Acct: 3.93 (3.97) proj_loss: -0.5929 (-0.5959) time: 0.3628 data: 0.0003
[11-27 02:36:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:02:37 tlr: 8.3e-05 tnm: 0.50 Lm: 6.860 (6.863) Lt: 6.170 (6.171) Accm: 2.48 (2.53) Acct: 3.85 (3.92) proj_loss: -0.5947 (-0.5961) time: 0.3611 data: 0.0003
[11-27 02:36:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:02:37 tlr: 8.3e-05 tnm: 0.50 Lm: 6.779 (6.807) Lt: 6.073 (6.102) Accm: 2.70 (2.68) Acct: 4.30 (4.23) proj_loss: -0.5802 (-0.5848) time: 0.3611 data: 0.0002
[11-27 02:36:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:02:37 tlr: 8.3e-05 tnm: 0.50 Lm: 6.772 (6.777) Lt: 6.058 (6.068) Accm: 2.83 (2.78) Acct: 4.42 (4.36) proj_loss: -0.5978 (-0.5970) time: 0.3611 data: 0.0003
[11-27 02:36:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1251/1669] eta: 0:02:37 tlr: 8.3e-05 tnm: 0.50 Lm: 6.814 (6.812) Lt: 6.102 (6.091) Accm: 2.61 (2.60) Acct: 4.12 (4.05) proj_loss: -0.5864 (-0.5951) time: 0.3611 data: 0.0003
[11-27 02:38:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.804 (6.808) Lt: 6.120 (6.101) Accm: 2.59 (2.59) Acct: 3.99 (4.03) proj_loss: -0.5869 (-0.5938) time: 0.3643 data: 0.0022
[11-27 02:38:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:10:21 (0.372 s / it)
[11-27 02:38:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.812 (6.794) Lt: 6.108 (6.093) Accm: 2.72 (2.71) Acct: 4.32 (4.25) proj_loss: -0.6007 (-0.5993) time: 0.3643 data: 0.0016
[11-27 02:38:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.796 (6.815) Lt: 6.081 (6.118) Accm: 2.63 (2.64) Acct: 4.24 (4.12) proj_loss: -0.5777 (-0.5834) time: 0.3643 data: 0.0020
[11-27 02:38:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 239/350] [1668/1669] eta: 0:00:00 tlr: 8.3e-05 tnm: 0.48 Lm: 6.824 (6.852) Lt: 6.145 (6.166) Accm: 2.48 (2.54) Acct: 3.93 (3.97) proj_loss: -0.5966 (-0.5984) time: 0.3643 data: 0.0022
[11-27 02:38:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:10:21 (0.372 s / it)
[11-27 02:38:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:10:21 (0.372 s / it)
[11-27 02:38:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 239/350] Total time: 0:10:21 (0.372 s / it)
[11-27 02:41:11] (home/user/VAR/trainer.py, line 114)=> FID: 4.454239497740673
[11-27 02:41:11] (/home/user/VAR/train.py , line 259)=> [*] [ep239] (val 50000) Lm: 6.8168, Lt: 6.1167, Acc m&t: 2.62 4.11, Val cost: 136.50s
[11-27 02:41:11] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-27 02:41:19] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.814 (6.817), Lt: 6.111 (6.117), Acc m&t: 2.65 4.13, Remain: 18:40:00, Finish: 2024-11-27 05:18
[11-27 02:41:19] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.814 (6.817), Lt: 6.111 (6.117), Acc m&t: 2.65 4.13, Remain: 18:39:55, Finish: 2024-11-27 05:18
[11-27 02:41:19] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.814 (6.817), Lt: 6.111 (6.117), Acc m&t: 2.65 4.13, Remain: 18:39:37, Finish: 2024-11-27 05:18
[11-27 02:41:19] (/home/user/VAR/train.py , line 276)=> [ep239] (training ) Lm: 6.814 (6.817), Lt: 6.111 (6.117), Acc m&t: 2.65 4.13, Remain: 18:39:59, Finish: 2024-11-27 05:18
[11-27 02:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:09:55 tlr: 8.3e-05 tnm: 0.48 Lm: 6.577 (6.577) Lt: 5.814 (5.814) Accm: 3.21 (3.21) Acct: 5.18 (5.18) proj_loss: -0.6068 (-0.6068) time: 0.3567 data: 0.0004
[11-27 02:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:09:58 tlr: 8.3e-05 tnm: 0.48 Lm: 6.690 (6.690) Lt: 5.992 (5.992) Accm: 3.07 (3.07) Acct: 4.87 (4.87) proj_loss: -0.6079 (-0.6079) time: 0.3585 data: 0.0004
[11-27 02:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:09:55 tlr: 8.3e-05 tnm: 0.48 Lm: 6.803 (6.803) Lt: 6.101 (6.101) Accm: 2.91 (2.91) Acct: 4.46 (4.46) proj_loss: -0.5781 (-0.5781) time: 0.3566 data: 0.0004
[11-27 02:41:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 0/1669] eta: 0:09:46 tlr: 8.3e-05 tnm: 0.48 Lm: 6.913 (6.913) Lt: 6.262 (6.262) Accm: 2.27 (2.27) Acct: 3.56 (3.56) proj_loss: -0.6008 (-0.6008) time: 0.3517 data: 0.0004
[11-27 02:43:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:07:31 tlr: 8.2e-05 tnm: 0.49 Lm: 6.857 (6.857) Lt: 6.164 (6.164) Accm: 2.49 (2.49) Acct: 3.86 (3.86) proj_loss: -0.5956 (-0.5956) time: 0.3590 data: 0.0003
[11-27 02:43:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:07:31 tlr: 8.2e-05 tnm: 0.49 Lm: 6.634 (6.634) Lt: 5.883 (5.883) Accm: 3.07 (3.07) Acct: 4.93 (4.93) proj_loss: -0.6040 (-0.6040) time: 0.3590 data: 0.0003
[11-27 02:43:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:07:31 tlr: 8.2e-05 tnm: 0.49 Lm: 6.832 (6.832) Lt: 6.127 (6.127) Accm: 2.65 (2.65) Acct: 4.04 (4.04) proj_loss: -0.5867 (-0.5867) time: 0.3590 data: 0.0002
[11-27 02:43:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 417/1669] eta: 0:07:31 tlr: 8.2e-05 tnm: 0.49 Lm: 6.738 (6.738) Lt: 6.033 (6.033) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: -0.6004 (-0.6004) time: 0.3590 data: 0.0003
[11-27 02:46:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:05:01 tlr: 8.2e-05 tnm: 0.46 Lm: 6.691 (6.689) Lt: 5.952 (5.928) Accm: 2.93 (2.89) Acct: 4.68 (4.68) proj_loss: -0.6011 (-0.6012) time: 0.3632 data: 0.0003
[11-27 02:46:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:05:01 tlr: 8.2e-05 tnm: 0.46 Lm: 6.802 (6.808) Lt: 6.065 (6.101) Accm: 2.72 (2.61) Acct: 4.15 (4.03) proj_loss: -0.6008 (-0.6016) time: 0.3632 data: 0.0002
[11-27 02:46:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:05:01 tlr: 8.2e-05 tnm: 0.46 Lm: 6.803 (6.812) Lt: 6.101 (6.104) Accm: 2.83 (2.71) Acct: 4.44 (4.17) proj_loss: -0.5953 (-0.5907) time: 0.3632 data: 0.0002
[11-27 02:46:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [ 834/1669] eta: 0:05:01 tlr: 8.2e-05 tnm: 0.46 Lm: 6.786 (6.793) Lt: 6.075 (6.084) Accm: 2.70 (2.76) Acct: 4.24 (4.39) proj_loss: -0.5929 (-0.5960) time: 0.3633 data: 0.0002
[11-27 02:48:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:02:30 tlr: 8.2e-05 tnm: 0.50 Lm: 6.767 (6.782) Lt: 6.062 (6.076) Accm: 2.60 (2.69) Acct: 4.15 (4.28) proj_loss: -0.5953 (-0.5965) time: 0.3592 data: 0.0003
[11-27 02:48:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:02:30 tlr: 8.2e-05 tnm: 0.50 Lm: 6.746 (6.718) Lt: 5.984 (5.963) Accm: 2.83 (2.85) Acct: 4.49 (4.58) proj_loss: -0.6008 (-0.6010) time: 0.3592 data: 0.0003
[11-27 02:48:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:02:30 tlr: 8.2e-05 tnm: 0.50 Lm: 6.857 (6.839) Lt: 6.155 (6.137) Accm: 2.67 (2.62) Acct: 4.09 (4.03) proj_loss: -0.5956 (-0.5910) time: 0.3592 data: 0.0003
[11-27 02:48:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1251/1669] eta: 0:02:30 tlr: 8.2e-05 tnm: 0.50 Lm: 6.787 (6.797) Lt: 6.079 (6.085) Accm: 2.78 (2.71) Acct: 4.36 (4.20) proj_loss: -0.5942 (-0.5913) time: 0.3592 data: 0.0003
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.47 Lm: 6.781 (6.794) Lt: 6.101 (6.090) Accm: 2.73 (2.71) Acct: 4.27 (4.19) proj_loss: -0.5953 (-0.5957) time: 0.3644 data: 0.0019
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:10:02 (0.361 s / it)
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.47 Lm: 6.800 (6.752) Lt: 6.016 (6.013) Accm: 2.74 (2.74) Acct: 4.30 (4.41) proj_loss: -0.6004 (-0.5989) time: 0.3643 data: 0.0016
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.47 Lm: 6.802 (6.825) Lt: 6.065 (6.122) Accm: 2.62 (2.59) Acct: 4.12 (4.05) proj_loss: -0.5998 (-0.5927) time: 0.3643 data: 0.0017
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 240/350] [1668/1669] eta: 0:00:00 tlr: 8.2e-05 tnm: 0.47 Lm: 6.786 (6.801) Lt: 6.075 (6.101) Accm: 2.51 (2.61) Acct: 4.06 (4.14) proj_loss: -0.5929 (-0.5937) time: 0.3644 data: 0.0018
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:10:02 (0.361 s / it)
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:10:02 (0.361 s / it)
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 240/350] Total time: 0:10:02 (0.361 s / it)
[11-27 02:51:22] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.804 (6.804), Lt: 6.094 (6.094), Acc m&t: 2.65 4.15, Remain: 18:30:09, Finish: 2024-11-27 05:21
[11-27 02:51:22] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.804 (6.804), Lt: 6.094 (6.094), Acc m&t: 2.65 4.15, Remain: 18:30:01, Finish: 2024-11-27 05:21
[11-27 02:51:22] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.804 (6.804), Lt: 6.094 (6.094), Acc m&t: 2.65 4.15, Remain: 18:29:21, Finish: 2024-11-27 05:20
[11-27 02:51:22] (/home/user/VAR/train.py , line 276)=> [ep240] (training ) Lm: 6.804 (6.804), Lt: 6.094 (6.094), Acc m&t: 2.65 4.15, Remain: 18:28:06, Finish: 2024-11-27 05:19
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:09:51 tlr: 8.2e-05 tnm: 0.46 Lm: 6.788 (6.788) Lt: 6.051 (6.051) Accm: 2.66 (2.66) Acct: 4.20 (4.20) proj_loss: -0.5845 (-0.5845) time: 0.3543 data: 0.0003
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:09:42 tlr: 8.2e-05 tnm: 0.46 Lm: 6.806 (6.806) Lt: 6.071 (6.071) Accm: 2.36 (2.36) Acct: 3.51 (3.51) proj_loss: -0.5849 (-0.5849) time: 0.3489 data: 0.0004
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:09:43 tlr: 8.2e-05 tnm: 0.46 Lm: 6.865 (6.865) Lt: 6.155 (6.155) Accm: 2.16 (2.16) Acct: 3.39 (3.39) proj_loss: -0.5894 (-0.5894) time: 0.3495 data: 0.0004
[11-27 02:51:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 0/1669] eta: 0:09:43 tlr: 8.2e-05 tnm: 0.46 Lm: 6.533 (6.533) Lt: 5.764 (5.764) Accm: 3.18 (3.18) Acct: 4.67 (4.67) proj_loss: -0.5980 (-0.5980) time: 0.3497 data: 0.0004
[11-27 02:53:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:07:34 tlr: 8.2e-05 tnm: 0.48 Lm: 6.731 (6.731) Lt: 5.994 (5.994) Accm: 2.78 (2.78) Acct: 4.26 (4.26) proj_loss: -0.6017 (-0.6017) time: 0.3612 data: 0.0003
[11-27 02:53:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:07:34 tlr: 8.2e-05 tnm: 0.48 Lm: 6.838 (6.838) Lt: 6.130 (6.130) Accm: 2.41 (2.41) Acct: 3.63 (3.63) proj_loss: -0.5843 (-0.5843) time: 0.3612 data: 0.0003
[11-27 02:53:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:07:34 tlr: 8.2e-05 tnm: 0.48 Lm: 6.926 (6.926) Lt: 6.239 (6.239) Accm: 2.17 (2.17) Acct: 3.53 (3.53) proj_loss: -0.5915 (-0.5915) time: 0.3612 data: 0.0003
[11-27 02:53:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 417/1669] eta: 0:07:34 tlr: 8.2e-05 tnm: 0.48 Lm: 6.779 (6.779) Lt: 6.075 (6.075) Accm: 2.74 (2.74) Acct: 4.26 (4.26) proj_loss: -0.6001 (-0.6001) time: 0.3612 data: 0.0003
[11-27 02:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:05:07 tlr: 8.2e-05 tnm: 0.49 Lm: 6.788 (6.789) Lt: 6.100 (6.097) Accm: 2.66 (2.69) Acct: 4.20 (4.21) proj_loss: -0.6116 (-0.6039) time: 0.3617 data: 0.0003
[11-27 02:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:05:07 tlr: 8.2e-05 tnm: 0.49 Lm: 6.869 (6.877) Lt: 6.189 (6.182) Accm: 2.36 (2.32) Acct: 3.51 (3.51) proj_loss: -0.5849 (-0.5902) time: 0.3617 data: 0.0003
[11-27 02:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:05:07 tlr: 8.2e-05 tnm: 0.49 Lm: 6.865 (6.862) Lt: 6.155 (6.151) Accm: 2.19 (2.33) Acct: 3.67 (3.63) proj_loss: -0.5935 (-0.5922) time: 0.3617 data: 0.0003
[11-27 02:56:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [ 834/1669] eta: 0:05:07 tlr: 8.2e-05 tnm: 0.49 Lm: 6.788 (6.750) Lt: 6.094 (6.028) Accm: 2.71 (2.76) Acct: 4.12 (4.21) proj_loss: -0.5980 (-0.5981) time: 0.3617 data: 0.0003
[11-27 02:59:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:02:35 tlr: 8.1e-05 tnm: 0.48 Lm: 6.820 (6.775) Lt: 6.139 (6.067) Accm: 2.56 (2.67) Acct: 3.99 (4.11) proj_loss: -0.5981 (-0.5981) time: 0.3628 data: 0.0003
[11-27 02:59:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:02:35 tlr: 8.1e-05 tnm: 0.48 Lm: 6.858 (6.859) Lt: 6.148 (6.149) Accm: 2.32 (2.36) Acct: 3.75 (3.72) proj_loss: -0.5914 (-0.5887) time: 0.3628 data: 0.0003
[11-27 02:59:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:02:35 tlr: 8.1e-05 tnm: 0.48 Lm: 6.838 (6.838) Lt: 6.130 (6.126) Accm: 2.41 (2.42) Acct: 3.63 (3.76) proj_loss: -0.5843 (-0.5883) time: 0.3628 data: 0.0003
[11-27 02:59:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1251/1669] eta: 0:02:35 tlr: 8.1e-05 tnm: 0.48 Lm: 6.780 (6.785) Lt: 6.095 (6.096) Accm: 2.74 (2.73) Acct: 4.26 (4.25) proj_loss: -0.6083 (-0.6042) time: 0.3628 data: 0.0003
[11-27 03:01:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.50 Lm: 6.772 (6.771) Lt: 6.091 (6.068) Accm: 2.83 (2.79) Acct: 4.32 (4.31) proj_loss: -0.6050 (-0.5972) time: 0.3651 data: 0.0013
[11-27 03:01:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:10:22 (0.373 s / it)
[11-27 03:01:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.50 Lm: 6.851 (6.853) Lt: 6.141 (6.136) Accm: 2.46 (2.45) Acct: 3.84 (3.86) proj_loss: -0.5894 (-0.5868) time: 0.3651 data: 0.0017
[11-27 03:01:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.50 Lm: 6.810 (6.832) Lt: 6.071 (6.109) Accm: 2.47 (2.46) Acct: 3.75 (3.86) proj_loss: -0.5849 (-0.5924) time: 0.3651 data: 0.0019
[11-27 03:01:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 241/350] [1668/1669] eta: 0:00:00 tlr: 8.1e-05 tnm: 0.50 Lm: 6.788 (6.768) Lt: 6.094 (6.050) Accm: 2.71 (2.70) Acct: 4.12 (4.17) proj_loss: -0.5980 (-0.5964) time: 0.3651 data: 0.0019
[11-27 03:01:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:10:22 (0.373 s / it)
[11-27 03:01:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:10:22 (0.373 s / it)
[11-27 03:01:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 241/350] Total time: 0:10:22 (0.373 s / it)
[11-27 03:01:44] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.797 (6.797), Lt: 6.086 (6.086), Acc m&t: 2.66 4.19, Remain: 18:14:54, Finish: 2024-11-27 05:16
[11-27 03:01:44] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.797 (6.797), Lt: 6.086 (6.086), Acc m&t: 2.66 4.19, Remain: 18:14:26, Finish: 2024-11-27 05:16
[11-27 03:01:44] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.797 (6.797), Lt: 6.086 (6.086), Acc m&t: 2.66 4.19, Remain: 18:15:06, Finish: 2024-11-27 05:16
[11-27 03:01:44] (/home/user/VAR/train.py , line 276)=> [ep241] (training ) Lm: 6.797 (6.797), Lt: 6.086 (6.086), Acc m&t: 2.66 4.19, Remain: 18:15:13, Finish: 2024-11-27 05:16
[11-27 03:01:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:10:09 tlr: 8.1e-05 tnm: 0.47 Lm: 6.772 (6.772) Lt: 6.112 (6.112) Accm: 2.68 (2.68) Acct: 4.08 (4.08) proj_loss: -0.6020 (-0.6020) time: 0.3651 data: 0.0004
[11-27 03:01:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:10:09 tlr: 8.1e-05 tnm: 0.47 Lm: 6.816 (6.816) Lt: 6.082 (6.082) Accm: 2.60 (2.60) Acct: 4.48 (4.48) proj_loss: -0.5921 (-0.5921) time: 0.3651 data: 0.0003
[11-27 03:01:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:10:10 tlr: 8.1e-05 tnm: 0.47 Lm: 6.830 (6.830) Lt: 6.149 (6.149) Accm: 2.58 (2.58) Acct: 4.03 (4.03) proj_loss: -0.6224 (-0.6224) time: 0.3656 data: 0.0004
[11-27 03:01:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 0/1669] eta: 0:10:09 tlr: 8.1e-05 tnm: 0.47 Lm: 6.930 (6.930) Lt: 6.234 (6.234) Accm: 2.39 (2.39) Acct: 3.91 (3.91) proj_loss: -0.6052 (-0.6052) time: 0.3649 data: 0.0004
[11-27 03:04:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:08:03 tlr: 8.1e-05 tnm: 0.49 Lm: 6.845 (6.845) Lt: 6.140 (6.140) Accm: 2.59 (2.59) Acct: 4.16 (4.16) proj_loss: -0.5858 (-0.5858) time: 0.4044 data: 0.0003
[11-27 03:04:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:08:03 tlr: 8.1e-05 tnm: 0.49 Lm: 6.849 (6.849) Lt: 6.182 (6.182) Accm: 2.54 (2.54) Acct: 3.91 (3.91) proj_loss: -0.6002 (-0.6002) time: 0.4044 data: 0.0003
[11-27 03:04:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:08:03 tlr: 8.1e-05 tnm: 0.49 Lm: 6.867 (6.867) Lt: 6.177 (6.177) Accm: 2.52 (2.52) Acct: 4.08 (4.08) proj_loss: -0.6042 (-0.6042) time: 0.4044 data: 0.0003
[11-27 03:04:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 417/1669] eta: 0:08:03 tlr: 8.1e-05 tnm: 0.49 Lm: 6.834 (6.834) Lt: 6.113 (6.113) Accm: 2.69 (2.69) Acct: 4.36 (4.36) proj_loss: -0.5887 (-0.5887) time: 0.4044 data: 0.0002
[11-27 03:06:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:05:14 tlr: 8.1e-05 tnm: 0.50 Lm: 6.816 (6.778) Lt: 6.082 (6.072) Accm: 2.78 (2.85) Acct: 4.48 (4.48) proj_loss: -0.5921 (-0.5918) time: 0.3608 data: 0.0003
[11-27 03:06:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:05:14 tlr: 8.1e-05 tnm: 0.50 Lm: 6.830 (6.818) Lt: 6.149 (6.094) Accm: 2.58 (2.68) Acct: 4.13 (4.40) proj_loss: -0.5859 (-0.5975) time: 0.3608 data: 0.0003
[11-27 03:06:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:05:14 tlr: 8.1e-05 tnm: 0.50 Lm: 6.907 (6.868) Lt: 6.226 (6.197) Accm: 2.40 (2.47) Acct: 3.74 (3.73) proj_loss: -0.5984 (-0.5993) time: 0.3608 data: 0.0003
[11-27 03:06:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [ 834/1669] eta: 0:05:14 tlr: 8.1e-05 tnm: 0.50 Lm: 6.888 (6.860) Lt: 6.226 (6.169) Accm: 2.45 (2.54) Acct: 3.93 (4.08) proj_loss: -0.5858 (-0.5858) time: 0.3608 data: 0.0002
[11-27 03:09:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:02:35 tlr: 8.1e-05 tnm: 0.51 Lm: 6.824 (6.828) Lt: 6.136 (6.128) Accm: 2.62 (2.64) Acct: 4.17 (4.27) proj_loss: -0.5909 (-0.5884) time: 0.3618 data: 0.0002
[11-27 03:09:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:02:35 tlr: 8.1e-05 tnm: 0.51 Lm: 6.825 (6.792) Lt: 6.113 (6.091) Accm: 2.69 (2.76) Acct: 4.36 (4.35) proj_loss: -0.5951 (-0.5942) time: 0.3618 data: 0.0003
[11-27 03:09:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:02:35 tlr: 8.1e-05 tnm: 0.51 Lm: 6.864 (6.856) Lt: 6.169 (6.172) Accm: 2.54 (2.54) Acct: 3.91 (3.89) proj_loss: -0.5980 (-0.5986) time: 0.3618 data: 0.0003
[11-27 03:09:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1251/1669] eta: 0:02:35 tlr: 8.1e-05 tnm: 0.51 Lm: 6.829 (6.821) Lt: 6.143 (6.104) Accm: 2.58 (2.65) Acct: 4.08 (4.30) proj_loss: -0.5851 (-0.5909) time: 0.3618 data: 0.0003
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.47 Lm: 6.830 (6.833) Lt: 6.149 (6.129) Accm: 2.58 (2.59) Acct: 4.03 (4.18) proj_loss: -0.5859 (-0.5919) time: 0.3673 data: 0.0018
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:10:18 (0.370 s / it)
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.47 Lm: 6.820 (6.820) Lt: 6.112 (6.130) Accm: 2.68 (2.64) Acct: 4.08 (4.09) proj_loss: -0.5984 (-0.6005) time: 0.3673 data: 0.0017
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.47 Lm: 6.841 (6.830) Lt: 6.075 (6.117) Accm: 2.65 (2.64) Acct: 4.30 (4.28) proj_loss: -0.5961 (-0.5905) time: 0.3673 data: 0.0014
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 242/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.47 Lm: 6.835 (6.804) Lt: 6.144 (6.102) Accm: 2.60 (2.73) Acct: 4.24 (4.27) proj_loss: -0.5957 (-0.5945) time: 0.3673 data: 0.0018
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:10:18 (0.370 s / it)
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:10:18 (0.370 s / it)
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 242/350] Total time: 0:10:18 (0.370 s / it)
[11-27 03:12:03] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.797 (6.821), Lt: 6.086 (6.119), Acc m&t: 2.66 4.19, Remain: 18:18:33, Finish: 2024-11-27 05:30
[11-27 03:12:03] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.797 (6.821), Lt: 6.086 (6.119), Acc m&t: 2.66 4.19, Remain: 18:18:26, Finish: 2024-11-27 05:30
[11-27 03:12:03] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.797 (6.821), Lt: 6.086 (6.119), Acc m&t: 2.66 4.19, Remain: 18:18:41, Finish: 2024-11-27 05:30
[11-27 03:12:03] (/home/user/VAR/train.py , line 276)=> [ep242] (training ) Lm: 6.797 (6.821), Lt: 6.086 (6.119), Acc m&t: 2.66 4.19, Remain: 18:18:27, Finish: 2024-11-27 05:30
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:10:07 tlr: 8e-05 tnm: 0.49 Lm: 6.788 (6.788) Lt: 6.091 (6.091) Accm: 2.29 (2.29) Acct: 3.67 (3.67) proj_loss: -0.5727 (-0.5727) time: 0.3637 data: 0.0004
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:10:13 tlr: 8e-05 tnm: 0.49 Lm: 6.594 (6.594) Lt: 5.862 (5.862) Accm: 3.23 (3.23) Acct: 4.92 (4.92) proj_loss: -0.6088 (-0.6088) time: 0.3678 data: 0.0003
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:10:08 tlr: 8e-05 tnm: 0.49 Lm: 6.779 (6.779) Lt: 6.054 (6.054) Accm: 2.74 (2.74) Acct: 4.46 (4.46) proj_loss: -0.5926 (-0.5926) time: 0.3646 data: 0.0004
[11-27 03:12:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 0/1669] eta: 0:10:07 tlr: 8e-05 tnm: 0.49 Lm: 6.845 (6.845) Lt: 6.149 (6.149) Accm: 2.34 (2.34) Acct: 3.70 (3.70) proj_loss: -0.6120 (-0.6120) time: 0.3641 data: 0.0004
[11-27 03:14:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:07:32 tlr: 8e-05 tnm: 0.49 Lm: 6.722 (6.722) Lt: 5.990 (5.990) Accm: 2.84 (2.84) Acct: 4.56 (4.56) proj_loss: -0.5979 (-0.5979) time: 0.3598 data: 0.0003
[11-27 03:14:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:07:32 tlr: 8e-05 tnm: 0.49 Lm: 6.815 (6.815) Lt: 6.124 (6.124) Accm: 2.40 (2.40) Acct: 3.73 (3.73) proj_loss: -0.5842 (-0.5842) time: 0.3598 data: 0.0003
[11-27 03:14:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:07:32 tlr: 8e-05 tnm: 0.49 Lm: 6.691 (6.691) Lt: 5.947 (5.947) Accm: 2.99 (2.99) Acct: 4.62 (4.62) proj_loss: -0.6081 (-0.6081) time: 0.3598 data: 0.0003
[11-27 03:14:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 417/1669] eta: 0:07:32 tlr: 8e-05 tnm: 0.49 Lm: 6.807 (6.807) Lt: 6.111 (6.111) Accm: 2.70 (2.70) Acct: 4.28 (4.28) proj_loss: -0.5974 (-0.5974) time: 0.3599 data: 0.0003
[11-27 03:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:05:01 tlr: 8e-05 tnm: 0.50 Lm: 6.834 (6.830) Lt: 6.167 (6.152) Accm: 2.65 (2.60) Acct: 4.10 (4.15) proj_loss: -0.6022 (-0.6048) time: 0.3591 data: 0.0003
[11-27 03:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:05:01 tlr: 8e-05 tnm: 0.50 Lm: 6.786 (6.722) Lt: 6.031 (5.983) Accm: 2.75 (2.90) Acct: 4.32 (4.50) proj_loss: -0.6074 (-0.6007) time: 0.3591 data: 0.0003
[11-27 03:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:05:01 tlr: 8e-05 tnm: 0.50 Lm: 6.779 (6.741) Lt: 6.063 (6.014) Accm: 2.63 (2.77) Acct: 4.18 (4.44) proj_loss: -0.6019 (-0.5993) time: 0.3591 data: 0.0003
[11-27 03:17:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [ 834/1669] eta: 0:05:01 tlr: 8e-05 tnm: 0.50 Lm: 6.803 (6.811) Lt: 6.099 (6.116) Accm: 2.52 (2.49) Acct: 3.79 (3.93) proj_loss: -0.5819 (-0.5835) time: 0.3591 data: 0.0003
[11-27 03:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:02:30 tlr: 8e-05 tnm: 0.49 Lm: 6.805 (6.810) Lt: 6.118 (6.121) Accm: 2.41 (2.44) Acct: 3.73 (3.84) proj_loss: -0.5889 (-0.5897) time: 0.3618 data: 0.0003
[11-27 03:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:02:30 tlr: 8e-05 tnm: 0.49 Lm: 6.787 (6.756) Lt: 6.044 (6.034) Accm: 2.74 (2.81) Acct: 4.29 (4.38) proj_loss: -0.6042 (-0.6008) time: 0.3618 data: 0.0003
[11-27 03:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:02:30 tlr: 8e-05 tnm: 0.49 Lm: 6.855 (6.846) Lt: 6.201 (6.173) Accm: 2.52 (2.51) Acct: 3.99 (3.92) proj_loss: -0.5974 (-0.6002) time: 0.3618 data: 0.0003
[11-27 03:19:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1251/1669] eta: 0:02:30 tlr: 8e-05 tnm: 0.49 Lm: 6.812 (6.781) Lt: 6.106 (6.056) Accm: 2.48 (2.64) Acct: 3.96 (4.26) proj_loss: -0.5929 (-0.5953) time: 0.3618 data: 0.0003
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.48 Lm: 6.845 (6.798) Lt: 6.149 (6.096) Accm: 2.55 (2.62) Acct: 3.98 (4.20) proj_loss: -0.6019 (-0.5976) time: 0.3609 data: 0.0016
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:10:02 (0.361 s / it)
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.48 Lm: 6.786 (6.752) Lt: 6.031 (6.023) Accm: 2.73 (2.79) Acct: 4.32 (4.41) proj_loss: -0.6009 (-0.5993) time: 0.3609 data: 0.0018
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.48 Lm: 6.877 (6.871) Lt: 6.207 (6.180) Accm: 2.62 (2.53) Acct: 4.10 (4.04) proj_loss: -0.5959 (-0.5994) time: 0.3609 data: 0.0020
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 243/350] [1668/1669] eta: 0:00:00 tlr: 8e-05 tnm: 0.48 Lm: 6.808 (6.811) Lt: 6.099 (6.116) Accm: 2.49 (2.45) Acct: 3.77 (3.83) proj_loss: -0.5819 (-0.5866) time: 0.3609 data: 0.0014
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:10:02 (0.361 s / it)
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:10:02 (0.361 s / it)
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 243/350] Total time: 0:10:02 (0.361 s / it)
[11-27 03:22:06] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.797 (6.805), Lt: 6.086 (6.098), Acc m&t: 2.66 4.19, Remain: 17:48:58, Finish: 2024-11-27 05:11
[11-27 03:22:06] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.797 (6.805), Lt: 6.086 (6.098), Acc m&t: 2.66 4.19, Remain: 17:48:47, Finish: 2024-11-27 05:10
[11-27 03:22:06] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.797 (6.805), Lt: 6.086 (6.098), Acc m&t: 2.66 4.19, Remain: 17:48:20, Finish: 2024-11-27 05:10
[11-27 03:22:06] (/home/user/VAR/train.py , line 276)=> [ep243] (training ) Lm: 6.797 (6.805), Lt: 6.086 (6.098), Acc m&t: 2.66 4.19, Remain: 17:48:57, Finish: 2024-11-27 05:11
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:09:35 tlr: 8e-05 tnm: 0.48 Lm: 6.976 (6.976) Lt: 6.330 (6.330) Accm: 2.30 (2.30) Acct: 3.39 (3.39) proj_loss: -0.5911 (-0.5911) time: 0.3448 data: 0.0003
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:09:31 tlr: 8e-05 tnm: 0.48 Lm: 6.832 (6.832) Lt: 6.134 (6.134) Accm: 2.74 (2.74) Acct: 4.46 (4.46) proj_loss: -0.5741 (-0.5741) time: 0.3427 data: 0.0004
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:09:39 tlr: 8e-05 tnm: 0.48 Lm: 6.825 (6.825) Lt: 6.143 (6.143) Accm: 2.56 (2.56) Acct: 4.05 (4.05) proj_loss: -0.5908 (-0.5908) time: 0.3472 data: 0.0003
[11-27 03:22:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 0/1669] eta: 0:09:33 tlr: 8e-05 tnm: 0.48 Lm: 6.869 (6.869) Lt: 6.184 (6.184) Accm: 2.35 (2.35) Acct: 3.74 (3.74) proj_loss: -0.5995 (-0.5995) time: 0.3438 data: 0.0004
[11-27 03:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:07:42 tlr: 8e-05 tnm: 0.47 Lm: 6.890 (6.890) Lt: 6.194 (6.194) Accm: 2.36 (2.36) Acct: 3.79 (3.79) proj_loss: -0.5945 (-0.5945) time: 0.4014 data: 0.0003
[11-27 03:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:07:42 tlr: 8e-05 tnm: 0.47 Lm: 6.817 (6.817) Lt: 6.142 (6.142) Accm: 2.51 (2.51) Acct: 3.97 (3.97) proj_loss: -0.6037 (-0.6037) time: 0.4014 data: 0.0003
[11-27 03:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:07:42 tlr: 8e-05 tnm: 0.47 Lm: 6.881 (6.881) Lt: 6.198 (6.198) Accm: 2.43 (2.43) Acct: 3.97 (3.97) proj_loss: -0.5887 (-0.5887) time: 0.4014 data: 0.0003
[11-27 03:24:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 417/1669] eta: 0:07:42 tlr: 8e-05 tnm: 0.47 Lm: 6.958 (6.958) Lt: 6.282 (6.282) Accm: 2.30 (2.30) Acct: 3.48 (3.48) proj_loss: -0.5868 (-0.5868) time: 0.4014 data: 0.0003
[11-27 03:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:05:07 tlr: 7.9e-05 tnm: 0.50 Lm: 6.940 (6.950) Lt: 6.277 (6.281) Accm: 2.30 (2.31) Acct: 3.56 (3.52) proj_loss: -0.5911 (-0.5947) time: 0.3603 data: 0.0003
[11-27 03:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:05:07 tlr: 7.9e-05 tnm: 0.50 Lm: 6.832 (6.857) Lt: 6.143 (6.180) Accm: 2.41 (2.42) Acct: 3.67 (3.87) proj_loss: -0.6033 (-0.5940) time: 0.3603 data: 0.0003
[11-27 03:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:05:07 tlr: 7.9e-05 tnm: 0.50 Lm: 6.825 (6.885) Lt: 6.143 (6.223) Accm: 2.46 (2.32) Acct: 3.89 (3.68) proj_loss: -0.5908 (-0.5947) time: 0.3603 data: 0.0002
[11-27 03:27:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [ 834/1669] eta: 0:05:07 tlr: 7.9e-05 tnm: 0.50 Lm: 6.869 (6.870) Lt: 6.184 (6.183) Accm: 2.37 (2.39) Acct: 3.82 (3.80) proj_loss: -0.5949 (-0.5946) time: 0.3603 data: 0.0003
[11-27 03:29:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:02:35 tlr: 7.9e-05 tnm: 0.48 Lm: 6.849 (6.859) Lt: 6.161 (6.179) Accm: 2.51 (2.47) Acct: 3.90 (3.93) proj_loss: -0.5969 (-0.5932) time: 0.3591 data: 0.0003
[11-27 03:29:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:02:35 tlr: 7.9e-05 tnm: 0.48 Lm: 6.817 (6.842) Lt: 6.142 (6.174) Accm: 2.51 (2.42) Acct: 3.87 (3.72) proj_loss: -0.5936 (-0.5951) time: 0.3591 data: 0.0003
[11-27 03:29:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:02:35 tlr: 7.9e-05 tnm: 0.48 Lm: 6.937 (6.890) Lt: 6.256 (6.213) Accm: 2.31 (2.43) Acct: 3.59 (3.69) proj_loss: -0.5901 (-0.5933) time: 0.3591 data: 0.0003
[11-27 03:29:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1251/1669] eta: 0:02:35 tlr: 7.9e-05 tnm: 0.48 Lm: 6.849 (6.856) Lt: 6.172 (6.162) Accm: 2.41 (2.43) Acct: 3.83 (3.87) proj_loss: -0.5967 (-0.5956) time: 0.3591 data: 0.0003
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.51 Lm: 6.829 (6.851) Lt: 6.160 (6.152) Accm: 2.45 (2.47) Acct: 3.84 (3.95) proj_loss: -0.5949 (-0.5928) time: 0.3622 data: 0.0019
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:10:23 (0.373 s / it)
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.51 Lm: 6.933 (6.876) Lt: 6.235 (6.192) Accm: 2.32 (2.44) Acct: 3.62 (3.72) proj_loss: -0.5911 (-0.5949) time: 0.3623 data: 0.0018
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.51 Lm: 6.832 (6.845) Lt: 6.143 (6.142) Accm: 2.61 (2.50) Acct: 4.13 (4.00) proj_loss: -0.5906 (-0.5905) time: 0.3623 data: 0.0017
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:10:23 (0.373 s / it)
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:10:23 (0.373 s / it)
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 244/350] [1668/1669] eta: 0:00:00 tlr: 7.9e-05 tnm: 0.51 Lm: 6.825 (6.840) Lt: 6.142 (6.157) Accm: 2.46 (2.41) Acct: 3.84 (3.68) proj_loss: -0.5908 (-0.5922) time: 0.3623 data: 0.0015
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 244/350] Total time: 0:10:23 (0.373 s / it)
[11-27 03:32:29] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.797 (6.816), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 17:39:51, Finish: 2024-11-27 05:12
[11-27 03:32:29] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.797 (6.816), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 17:39:52, Finish: 2024-11-27 05:12
[11-27 03:32:29] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.797 (6.816), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 17:40:31, Finish: 2024-11-27 05:13
[11-27 03:32:29] (/home/user/VAR/train.py , line 276)=> [ep244] (training ) Lm: 6.797 (6.816), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 17:40:00, Finish: 2024-11-27 05:12
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:09:40 tlr: 7.9e-05 tnm: 0.50 Lm: 6.976 (6.976) Lt: 6.303 (6.303) Accm: 2.11 (2.11) Acct: 3.39 (3.39) proj_loss: -0.5859 (-0.5859) time: 0.3479 data: 0.0004
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:09:36 tlr: 7.9e-05 tnm: 0.50 Lm: 6.823 (6.823) Lt: 6.090 (6.090) Accm: 2.67 (2.67) Acct: 4.24 (4.24) proj_loss: -0.5901 (-0.5901) time: 0.3453 data: 0.0003
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:09:29 tlr: 7.9e-05 tnm: 0.50 Lm: 6.894 (6.894) Lt: 6.176 (6.176) Accm: 2.48 (2.48) Acct: 4.03 (4.03) proj_loss: -0.6053 (-0.6053) time: 0.3410 data: 0.0003
[11-27 03:32:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 0/1669] eta: 0:10:28 tlr: 7.9e-05 tnm: 0.50 Lm: 6.811 (6.811) Lt: 6.070 (6.070) Accm: 2.88 (2.88) Acct: 4.36 (4.36) proj_loss: -0.5875 (-0.5875) time: 0.3765 data: 0.0003
[11-27 03:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:07:56 tlr: 7.9e-05 tnm: 0.48 Lm: 6.765 (6.765) Lt: 6.031 (6.031) Accm: 2.78 (2.78) Acct: 4.32 (4.32) proj_loss: -0.5829 (-0.5829) time: 0.3636 data: 0.0003
[11-27 03:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:07:56 tlr: 7.9e-05 tnm: 0.48 Lm: 6.860 (6.860) Lt: 6.183 (6.183) Accm: 2.43 (2.43) Acct: 3.82 (3.82) proj_loss: -0.5871 (-0.5871) time: 0.3635 data: 0.0002
[11-27 03:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:07:56 tlr: 7.9e-05 tnm: 0.48 Lm: 6.792 (6.792) Lt: 6.084 (6.084) Accm: 2.73 (2.73) Acct: 4.20 (4.20) proj_loss: -0.5948 (-0.5948) time: 0.3636 data: 0.0003
[11-27 03:35:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 417/1669] eta: 0:07:56 tlr: 7.9e-05 tnm: 0.48 Lm: 6.884 (6.884) Lt: 6.217 (6.217) Accm: 2.41 (2.41) Acct: 3.76 (3.76) proj_loss: -0.6042 (-0.6042) time: 0.3636 data: 0.0003
[11-27 03:37:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:05:13 tlr: 7.9e-05 tnm: 0.50 Lm: 6.874 (6.848) Lt: 6.176 (6.145) Accm: 2.48 (2.54) Acct: 4.03 (3.97) proj_loss: -0.6031 (-0.6005) time: 0.4069 data: 0.0003
[11-27 03:37:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:05:13 tlr: 7.9e-05 tnm: 0.50 Lm: 6.760 (6.764) Lt: 6.078 (6.028) Accm: 2.80 (2.78) Acct: 4.24 (4.32) proj_loss: -0.5901 (-0.5900) time: 0.4069 data: 0.0003
[11-27 03:37:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:05:13 tlr: 7.9e-05 tnm: 0.50 Lm: 6.868 (6.863) Lt: 6.170 (6.178) Accm: 2.67 (2.51) Acct: 4.03 (3.89) proj_loss: -0.5882 (-0.5903) time: 0.4069 data: 0.0003
[11-27 03:37:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [ 834/1669] eta: 0:05:13 tlr: 7.9e-05 tnm: 0.50 Lm: 6.719 (6.739) Lt: 6.035 (6.032) Accm: 2.88 (2.89) Acct: 4.36 (4.41) proj_loss: -0.5875 (-0.5884) time: 0.4069 data: 0.0003
[11-27 03:40:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:02:35 tlr: 7.8e-05 tnm: 0.50 Lm: 6.765 (6.773) Lt: 6.052 (6.077) Accm: 2.78 (2.79) Acct: 4.32 (4.32) proj_loss: -0.5935 (-0.5943) time: 0.3603 data: 0.0003
[11-27 03:40:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:02:35 tlr: 7.8e-05 tnm: 0.50 Lm: 6.806 (6.831) Lt: 6.116 (6.137) Accm: 2.71 (2.59) Acct: 4.14 (4.08) proj_loss: -0.5871 (-0.5856) time: 0.3602 data: 0.0003
[11-27 03:40:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:02:35 tlr: 7.8e-05 tnm: 0.50 Lm: 6.825 (6.801) Lt: 6.089 (6.105) Accm: 2.63 (2.69) Acct: 4.21 (4.26) proj_loss: -0.6042 (-0.6064) time: 0.3602 data: 0.0005
[11-27 03:40:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1251/1669] eta: 0:02:35 tlr: 7.8e-05 tnm: 0.50 Lm: 6.744 (6.755) Lt: 6.051 (6.027) Accm: 2.83 (2.80) Acct: 4.28 (4.32) proj_loss: -0.5871 (-0.5885) time: 0.3603 data: 0.0003
[11-27 03:42:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.49 Lm: 6.760 (6.780) Lt: 6.078 (6.054) Accm: 2.80 (2.78) Acct: 4.24 (4.26) proj_loss: -0.5840 (-0.5875) time: 0.3612 data: 0.0016
[11-27 03:42:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:10:17 (0.370 s / it)
[11-27 03:42:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.49 Lm: 6.868 (6.841) Lt: 6.170 (6.145) Accm: 2.67 (2.55) Acct: 4.03 (4.02) proj_loss: -0.5863 (-0.5857) time: 0.3612 data: 0.0021
[11-27 03:42:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.49 Lm: 6.719 (6.758) Lt: 6.035 (6.065) Accm: 2.75 (2.78) Acct: 4.29 (4.28) proj_loss: -0.5995 (-0.5981) time: 0.3612 data: 0.0013
[11-27 03:42:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 245/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.49 Lm: 6.824 (6.806) Lt: 6.097 (6.103) Accm: 2.59 (2.67) Acct: 4.22 (4.25) proj_loss: -0.6031 (-0.6029) time: 0.3612 data: 0.0017
[11-27 03:42:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:10:17 (0.370 s / it)
[11-27 03:42:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:10:17 (0.370 s / it)
[11-27 03:42:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 245/350] Total time: 0:10:17 (0.370 s / it)
[11-27 03:42:46] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.797 (6.814), Lt: 6.086 (6.108), Acc m&t: 2.66 4.19, Remain: 17:30:57, Finish: 2024-11-27 05:13
[11-27 03:42:46] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.797 (6.814), Lt: 6.086 (6.108), Acc m&t: 2.66 4.19, Remain: 17:30:36, Finish: 2024-11-27 05:13
[11-27 03:42:46] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.797 (6.814), Lt: 6.086 (6.108), Acc m&t: 2.66 4.19, Remain: 17:31:14, Finish: 2024-11-27 05:14
[11-27 03:42:46] (/home/user/VAR/train.py , line 276)=> [ep245] (training ) Lm: 6.797 (6.814), Lt: 6.086 (6.108), Acc m&t: 2.66 4.19, Remain: 17:30:47, Finish: 2024-11-27 05:13
[11-27 03:42:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:09:39 tlr: 7.8e-05 tnm: 0.49 Lm: 6.841 (6.841) Lt: 6.125 (6.125) Accm: 2.70 (2.70) Acct: 4.36 (4.36) proj_loss: -0.6057 (-0.6057) time: 0.3474 data: 0.0003
[11-27 03:42:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:09:38 tlr: 7.8e-05 tnm: 0.49 Lm: 6.666 (6.666) Lt: 5.972 (5.972) Accm: 3.10 (3.10) Acct: 4.75 (4.75) proj_loss: -0.6217 (-0.6217) time: 0.3466 data: 0.0003
[11-27 03:42:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:09:39 tlr: 7.8e-05 tnm: 0.49 Lm: 6.937 (6.937) Lt: 6.274 (6.274) Accm: 2.51 (2.51) Acct: 3.94 (3.94) proj_loss: -0.5844 (-0.5844) time: 0.3471 data: 0.0004
[11-27 03:42:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 0/1669] eta: 0:09:40 tlr: 7.8e-05 tnm: 0.49 Lm: 6.915 (6.915) Lt: 6.266 (6.266) Accm: 2.41 (2.41) Acct: 3.74 (3.74) proj_loss: -0.6225 (-0.6225) time: 0.3481 data: 0.0004
[11-27 03:45:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:07:32 tlr: 7.8e-05 tnm: 0.49 Lm: 6.812 (6.812) Lt: 6.123 (6.123) Accm: 2.69 (2.69) Acct: 4.19 (4.19) proj_loss: -0.6128 (-0.6128) time: 0.3626 data: 0.0003
[11-27 03:45:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:07:32 tlr: 7.8e-05 tnm: 0.49 Lm: 6.860 (6.860) Lt: 6.154 (6.154) Accm: 2.63 (2.63) Acct: 4.24 (4.24) proj_loss: -0.5798 (-0.5798) time: 0.3626 data: 0.0003
[11-27 03:45:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:07:32 tlr: 7.8e-05 tnm: 0.49 Lm: 6.818 (6.818) Lt: 6.133 (6.133) Accm: 2.73 (2.73) Acct: 4.13 (4.13) proj_loss: -0.5969 (-0.5969) time: 0.3626 data: 0.0003
[11-27 03:45:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 417/1669] eta: 0:07:32 tlr: 7.8e-05 tnm: 0.49 Lm: 6.819 (6.819) Lt: 6.088 (6.088) Accm: 2.59 (2.59) Acct: 4.18 (4.18) proj_loss: -0.5940 (-0.5940) time: 0.3626 data: 0.0003
[11-27 03:47:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:05:01 tlr: 7.8e-05 tnm: 0.51 Lm: 6.798 (6.763) Lt: 6.050 (6.035) Accm: 2.70 (2.72) Acct: 4.36 (4.43) proj_loss: -0.5858 (-0.5913) time: 0.3625 data: 0.0003
[11-27 03:47:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:05:01 tlr: 7.8e-05 tnm: 0.51 Lm: 6.790 (6.836) Lt: 6.071 (6.126) Accm: 2.76 (2.72) Acct: 4.53 (4.40) proj_loss: -0.5844 (-0.5854) time: 0.3625 data: 0.0003
[11-27 03:47:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:05:01 tlr: 7.8e-05 tnm: 0.51 Lm: 6.709 (6.765) Lt: 5.980 (6.068) Accm: 2.87 (2.75) Acct: 4.32 (4.24) proj_loss: -0.6032 (-0.6073) time: 0.3625 data: 0.0003
[11-27 03:47:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [ 834/1669] eta: 0:05:01 tlr: 7.8e-05 tnm: 0.51 Lm: 6.826 (6.821) Lt: 6.102 (6.123) Accm: 2.70 (2.72) Acct: 3.93 (4.06) proj_loss: -0.5794 (-0.5911) time: 0.3625 data: 0.0003
[11-27 03:50:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:02:30 tlr: 7.8e-05 tnm: 0.49 Lm: 6.761 (6.790) Lt: 6.037 (6.073) Accm: 2.77 (2.75) Acct: 4.15 (4.14) proj_loss: -0.5905 (-0.5937) time: 0.3600 data: 0.0003
[11-27 03:50:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:02:30 tlr: 7.8e-05 tnm: 0.49 Lm: 6.786 (6.780) Lt: 6.052 (6.064) Accm: 2.82 (2.85) Acct: 4.63 (4.58) proj_loss: -0.5834 (-0.5846) time: 0.3600 data: 0.0003
[11-27 03:50:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:02:30 tlr: 7.8e-05 tnm: 0.49 Lm: 6.809 (6.801) Lt: 6.114 (6.113) Accm: 2.67 (2.68) Acct: 4.18 (4.18) proj_loss: -0.5997 (-0.6033) time: 0.3600 data: 0.0003
[11-27 03:50:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1251/1669] eta: 0:02:30 tlr: 7.8e-05 tnm: 0.49 Lm: 6.801 (6.774) Lt: 6.070 (6.049) Accm: 2.64 (2.69) Acct: 4.18 (4.32) proj_loss: -0.5857 (-0.5898) time: 0.3600 data: 0.0003
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.51 Lm: 6.805 (6.821) Lt: 6.090 (6.098) Accm: 2.58 (2.61) Acct: 3.99 (4.17) proj_loss: -0.5858 (-0.5891) time: 0.3626 data: 0.0016
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:10:02 (0.361 s / it)
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.51 Lm: 6.697 (6.771) Lt: 5.972 (6.048) Accm: 2.85 (2.79) Acct: 4.37 (4.21) proj_loss: -0.6009 (-0.5951) time: 0.3626 data: 0.0016
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.51 Lm: 6.782 (6.772) Lt: 6.033 (6.048) Accm: 2.88 (2.88) Acct: 4.73 (4.62) proj_loss: -0.5844 (-0.5867) time: 0.3626 data: 0.0015
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 246/350] [1668/1669] eta: 0:00:00 tlr: 7.8e-05 tnm: 0.51 Lm: 6.793 (6.799) Lt: 6.033 (6.097) Accm: 2.87 (2.73) Acct: 4.32 (4.26) proj_loss: -0.5961 (-0.5969) time: 0.3626 data: 0.0019
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:10:02 (0.361 s / it)
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:10:02 (0.361 s / it)
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 246/350] Total time: 0:10:02 (0.361 s / it)
[11-27 03:52:49] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.797 (6.808), Lt: 6.086 (6.095), Acc m&t: 2.66 4.19, Remain: 17:24:08, Finish: 2024-11-27 05:16
[11-27 03:52:49] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.797 (6.808), Lt: 6.086 (6.095), Acc m&t: 2.66 4.19, Remain: 17:24:19, Finish: 2024-11-27 05:17
[11-27 03:52:49] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.797 (6.808), Lt: 6.086 (6.095), Acc m&t: 2.66 4.19, Remain: 17:24:15, Finish: 2024-11-27 05:17
[11-27 03:52:49] (/home/user/VAR/train.py , line 276)=> [ep246] (training ) Lm: 6.797 (6.808), Lt: 6.086 (6.095), Acc m&t: 2.66 4.19, Remain: 17:24:09, Finish: 2024-11-27 05:16
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:09:44 tlr: 7.8e-05 tnm: 0.49 Lm: 6.836 (6.836) Lt: 6.113 (6.113) Accm: 2.63 (2.63) Acct: 4.18 (4.18) proj_loss: -0.5870 (-0.5870) time: 0.3500 data: 0.0004
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:09:44 tlr: 7.8e-05 tnm: 0.49 Lm: 6.774 (6.774) Lt: 6.039 (6.039) Accm: 2.61 (2.61) Acct: 4.20 (4.20) proj_loss: -0.5947 (-0.5947) time: 0.3503 data: 0.0003
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:09:45 tlr: 7.8e-05 tnm: 0.49 Lm: 6.779 (6.779) Lt: 6.033 (6.033) Accm: 2.72 (2.72) Acct: 4.61 (4.61) proj_loss: -0.6056 (-0.6056) time: 0.3505 data: 0.0004
[11-27 03:52:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 0/1669] eta: 0:09:47 tlr: 7.8e-05 tnm: 0.49 Lm: 6.677 (6.677) Lt: 5.942 (5.942) Accm: 3.13 (3.13) Acct: 4.80 (4.80) proj_loss: -0.5825 (-0.5825) time: 0.3519 data: 0.0004
[11-27 03:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:07:47 tlr: 7.7e-05 tnm: 0.50 Lm: 6.752 (6.752) Lt: 6.016 (6.016) Accm: 2.99 (2.99) Acct: 4.60 (4.60) proj_loss: -0.5815 (-0.5815) time: 0.3612 data: 0.0003
[11-27 03:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:07:47 tlr: 7.7e-05 tnm: 0.50 Lm: 6.764 (6.764) Lt: 5.996 (5.996) Accm: 2.82 (2.82) Acct: 4.52 (4.52) proj_loss: -0.5948 (-0.5948) time: 0.3612 data: 0.0002
[11-27 03:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:07:47 tlr: 7.7e-05 tnm: 0.50 Lm: 6.753 (6.753) Lt: 5.984 (5.984) Accm: 2.72 (2.72) Acct: 4.56 (4.56) proj_loss: -0.6067 (-0.6067) time: 0.3612 data: 0.0003
[11-27 03:55:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 417/1669] eta: 0:07:47 tlr: 7.7e-05 tnm: 0.50 Lm: 6.775 (6.775) Lt: 6.066 (6.066) Accm: 2.79 (2.79) Acct: 4.42 (4.42) proj_loss: -0.6008 (-0.6008) time: 0.3612 data: 0.0003
[11-27 03:58:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:05:12 tlr: 7.7e-05 tnm: 0.49 Lm: 6.713 (6.752) Lt: 6.018 (6.036) Accm: 2.63 (2.73) Acct: 4.18 (4.32) proj_loss: -0.5986 (-0.6001) time: 0.3595 data: 0.0003
[11-27 03:58:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:05:12 tlr: 7.7e-05 tnm: 0.49 Lm: 6.727 (6.744) Lt: 5.992 (5.987) Accm: 2.72 (2.76) Acct: 4.51 (4.49) proj_loss: -0.6056 (-0.5996) time: 0.3595 data: 0.0003
[11-27 03:58:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:05:12 tlr: 7.7e-05 tnm: 0.49 Lm: 6.764 (6.756) Lt: 6.003 (6.012) Accm: 2.86 (2.93) Acct: 4.49 (4.56) proj_loss: -0.5825 (-0.5838) time: 0.3595 data: 0.0003
[11-27 03:58:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [ 834/1669] eta: 0:05:12 tlr: 7.7e-05 tnm: 0.49 Lm: 6.774 (6.782) Lt: 6.039 (6.044) Accm: 2.67 (2.77) Acct: 4.20 (4.35) proj_loss: -0.5949 (-0.5965) time: 0.3595 data: 0.0003
[11-27 04:00:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:02:36 tlr: 7.7e-05 tnm: 0.50 Lm: 6.764 (6.771) Lt: 6.035 (6.041) Accm: 2.74 (2.78) Acct: 4.27 (4.35) proj_loss: -0.5955 (-0.5964) time: 0.3623 data: 0.0003
[11-27 04:00:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:02:36 tlr: 7.7e-05 tnm: 0.50 Lm: 6.721 (6.729) Lt: 5.988 (6.002) Accm: 2.86 (2.91) Acct: 4.55 (4.57) proj_loss: -0.5854 (-0.5879) time: 0.3623 data: 0.0003
[11-27 04:00:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:02:36 tlr: 7.7e-05 tnm: 0.50 Lm: 6.775 (6.793) Lt: 6.066 (6.095) Accm: 2.62 (2.65) Acct: 4.15 (4.21) proj_loss: -0.6013 (-0.6011) time: 0.3623 data: 0.0002
[11-27 04:00:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1251/1669] eta: 0:02:36 tlr: 7.7e-05 tnm: 0.50 Lm: 6.727 (6.740) Lt: 5.987 (5.985) Accm: 2.78 (2.83) Acct: 4.56 (4.55) proj_loss: -0.6006 (-0.5986) time: 0.3623 data: 0.0003
[11-27 04:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.50 Lm: 6.727 (6.744) Lt: 5.992 (5.996) Accm: 2.72 (2.79) Acct: 4.51 (4.47) proj_loss: -0.5955 (-0.5972) time: 0.3617 data: 0.0019
[11-27 04:03:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:10:27 (0.376 s / it)
[11-27 04:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.50 Lm: 6.774 (6.816) Lt: 6.039 (6.093) Accm: 2.67 (2.60) Acct: 4.20 (4.09) proj_loss: -0.5949 (-0.5913) time: 0.3617 data: 0.0018
[11-27 04:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.50 Lm: 6.764 (6.761) Lt: 6.003 (6.045) Accm: 2.86 (2.81) Acct: 4.49 (4.44) proj_loss: -0.5883 (-0.5880) time: 0.3617 data: 0.0018
[11-27 04:03:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:10:27 (0.376 s / it)
[11-27 04:03:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:10:27 (0.376 s / it)
[11-27 04:03:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 247/350] [1668/1669] eta: 0:00:00 tlr: 7.7e-05 tnm: 0.50 Lm: 6.836 (6.808) Lt: 6.113 (6.115) Accm: 2.60 (2.52) Acct: 4.12 (4.02) proj_loss: -0.5986 (-0.5980) time: 0.3618 data: 0.0014
[11-27 04:03:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 247/350] Total time: 0:10:27 (0.376 s / it)
[11-27 04:03:16] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.797 (6.811), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 17:10:45, Finish: 2024-11-27 05:14
[11-27 04:03:16] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.797 (6.811), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 17:10:03, Finish: 2024-11-27 05:13
[11-27 04:03:16] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.797 (6.811), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 17:10:13, Finish: 2024-11-27 05:13
[11-27 04:03:16] (/home/user/VAR/train.py , line 276)=> [ep247] (training ) Lm: 6.797 (6.811), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 17:10:22, Finish: 2024-11-27 05:13
[11-27 04:03:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:09:36 tlr: 7.7e-05 tnm: 0.49 Lm: 6.855 (6.855) Lt: 6.187 (6.187) Accm: 2.33 (2.33) Acct: 3.58 (3.58) proj_loss: -0.5937 (-0.5937) time: 0.3456 data: 0.0004
[11-27 04:03:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:09:38 tlr: 7.7e-05 tnm: 0.49 Lm: 6.813 (6.813) Lt: 6.074 (6.074) Accm: 2.67 (2.67) Acct: 4.29 (4.29) proj_loss: -0.5843 (-0.5843) time: 0.3465 data: 0.0004
[11-27 04:03:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:09:38 tlr: 7.7e-05 tnm: 0.49 Lm: 6.739 (6.739) Lt: 6.012 (6.012) Accm: 2.87 (2.87) Acct: 4.39 (4.39) proj_loss: -0.5868 (-0.5868) time: 0.3467 data: 0.0004
[11-27 04:03:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 0/1669] eta: 0:09:38 tlr: 7.7e-05 tnm: 0.49 Lm: 6.950 (6.950) Lt: 6.271 (6.271) Accm: 2.35 (2.35) Acct: 3.55 (3.55) proj_loss: -0.6023 (-0.6023) time: 0.3469 data: 0.0003
[11-27 04:05:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:07:42 tlr: 7.7e-05 tnm: 0.51 Lm: 6.980 (6.980) Lt: 6.297 (6.297) Accm: 2.31 (2.31) Acct: 3.55 (3.55) proj_loss: -0.6030 (-0.6030) time: 0.3613 data: 0.0003
[11-27 04:05:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:07:42 tlr: 7.7e-05 tnm: 0.51 Lm: 6.742 (6.742) Lt: 6.025 (6.025) Accm: 2.86 (2.86) Acct: 4.42 (4.42) proj_loss: -0.5927 (-0.5927) time: 0.3613 data: 0.0002
[11-27 04:05:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:07:42 tlr: 7.7e-05 tnm: 0.51 Lm: 6.796 (6.796) Lt: 6.101 (6.101) Accm: 2.46 (2.46) Acct: 3.86 (3.86) proj_loss: -0.5948 (-0.5948) time: 0.3613 data: 0.0003
[11-27 04:05:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 417/1669] eta: 0:07:42 tlr: 7.7e-05 tnm: 0.51 Lm: 6.750 (6.750) Lt: 6.012 (6.012) Accm: 2.80 (2.80) Acct: 4.32 (4.32) proj_loss: -0.5916 (-0.5916) time: 0.3613 data: 0.0003
[11-27 04:08:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:05:08 tlr: 7.6e-05 tnm: 0.52 Lm: 6.762 (6.780) Lt: 6.012 (6.057) Accm: 2.73 (2.72) Acct: 4.25 (4.18) proj_loss: -0.5963 (-0.5941) time: 0.3613 data: 0.0003
[11-27 04:08:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:05:08 tlr: 7.6e-05 tnm: 0.52 Lm: 6.813 (6.780) Lt: 6.074 (6.054) Accm: 2.67 (2.76) Acct: 4.29 (4.32) proj_loss: -0.5863 (-0.5905) time: 0.3613 data: 0.0002
[11-27 04:08:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:05:08 tlr: 7.6e-05 tnm: 0.52 Lm: 6.950 (6.935) Lt: 6.271 (6.250) Accm: 2.35 (2.44) Acct: 3.55 (3.77) proj_loss: -0.6023 (-0.6001) time: 0.3613 data: 0.0003
[11-27 04:08:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [ 834/1669] eta: 0:05:08 tlr: 7.6e-05 tnm: 0.52 Lm: 6.842 (6.811) Lt: 6.187 (6.136) Accm: 2.45 (2.46) Acct: 3.70 (3.81) proj_loss: -0.5937 (-0.5910) time: 0.3613 data: 0.0003
[11-27 04:10:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:02:33 tlr: 7.6e-05 tnm: 0.48 Lm: 6.792 (6.778) Lt: 6.046 (6.045) Accm: 2.69 (2.74) Acct: 4.39 (4.36) proj_loss: -0.5927 (-0.5927) time: 0.3611 data: 0.0002
[11-27 04:10:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:02:33 tlr: 7.6e-05 tnm: 0.48 Lm: 6.793 (6.791) Lt: 6.041 (6.061) Accm: 2.66 (2.69) Acct: 4.17 (4.16) proj_loss: -0.5922 (-0.5926) time: 0.3612 data: 0.0003
[11-27 04:10:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:02:33 tlr: 7.6e-05 tnm: 0.48 Lm: 6.898 (6.875) Lt: 6.213 (6.169) Accm: 2.52 (2.57) Acct: 3.88 (4.02) proj_loss: -0.5983 (-0.5959) time: 0.3612 data: 0.0003
[11-27 04:10:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1251/1669] eta: 0:02:33 tlr: 7.6e-05 tnm: 0.48 Lm: 6.847 (6.821) Lt: 6.197 (6.154) Accm: 2.52 (2.51) Acct: 3.92 (3.89) proj_loss: -0.5929 (-0.5913) time: 0.3612 data: 0.0003
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.51 Lm: 6.842 (6.805) Lt: 6.187 (6.124) Accm: 2.59 (2.59) Acct: 4.13 (4.02) proj_loss: -0.5937 (-0.5930) time: 0.3635 data: 0.0013
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:10:09 (0.365 s / it)
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.51 Lm: 6.813 (6.800) Lt: 6.074 (6.074) Accm: 2.67 (2.71) Acct: 4.29 (4.31) proj_loss: -0.5863 (-0.5903) time: 0.3635 data: 0.0016
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.51 Lm: 6.805 (6.794) Lt: 6.067 (6.062) Accm: 2.73 (2.72) Acct: 4.25 (4.23) proj_loss: -0.5963 (-0.5949) time: 0.3635 data: 0.0018
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 248/350] [1668/1669] eta: 0:00:00 tlr: 7.6e-05 tnm: 0.51 Lm: 6.899 (6.880) Lt: 6.166 (6.169) Accm: 2.51 (2.56) Acct: 4.08 (4.03) proj_loss: -0.5943 (-0.5947) time: 0.3635 data: 0.0018
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:10:09 (0.365 s / it)
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:10:09 (0.365 s / it)
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 248/350] Total time: 0:10:09 (0.365 s / it)
[11-27 04:13:26] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.797 (6.822), Lt: 6.086 (6.121), Acc m&t: 2.66 4.19, Remain: 17:12:08, Finish: 2024-11-27 05:25
[11-27 04:13:26] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.797 (6.822), Lt: 6.086 (6.121), Acc m&t: 2.66 4.19, Remain: 17:11:49, Finish: 2024-11-27 05:25
[11-27 04:13:26] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.797 (6.822), Lt: 6.086 (6.121), Acc m&t: 2.66 4.19, Remain: 17:11:43, Finish: 2024-11-27 05:25
[11-27 04:13:26] (/home/user/VAR/train.py , line 276)=> [ep248] (training ) Lm: 6.797 (6.822), Lt: 6.086 (6.121), Acc m&t: 2.66 4.19, Remain: 17:12:13, Finish: 2024-11-27 05:25
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:09:40 tlr: 7.6e-05 tnm: 0.51 Lm: 6.728 (6.728) Lt: 6.057 (6.057) Accm: 2.96 (2.96) Acct: 4.51 (4.51) proj_loss: -0.6038 (-0.6038) time: 0.3480 data: 0.0003
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:09:41 tlr: 7.6e-05 tnm: 0.51 Lm: 6.865 (6.865) Lt: 6.109 (6.109) Accm: 2.30 (2.30) Acct: 3.77 (3.77) proj_loss: -0.5851 (-0.5851) time: 0.3484 data: 0.0004
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:09:39 tlr: 7.6e-05 tnm: 0.51 Lm: 6.854 (6.854) Lt: 6.148 (6.148) Accm: 2.62 (2.62) Acct: 3.99 (3.99) proj_loss: -0.6042 (-0.6042) time: 0.3473 data: 0.0004
[11-27 04:13:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 0/1669] eta: 0:09:41 tlr: 7.6e-05 tnm: 0.51 Lm: 6.794 (6.794) Lt: 6.013 (6.013) Accm: 2.80 (2.80) Acct: 4.42 (4.42) proj_loss: -0.5714 (-0.5714) time: 0.3486 data: 0.0003
[11-27 04:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:07:36 tlr: 7.6e-05 tnm: 0.50 Lm: 6.783 (6.783) Lt: 6.063 (6.063) Accm: 2.71 (2.71) Acct: 4.27 (4.27) proj_loss: -0.5912 (-0.5912) time: 0.3604 data: 0.0003
[11-27 04:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:07:36 tlr: 7.6e-05 tnm: 0.50 Lm: 6.801 (6.801) Lt: 6.112 (6.112) Accm: 2.72 (2.72) Acct: 4.23 (4.23) proj_loss: -0.6071 (-0.6071) time: 0.3604 data: 0.0003
[11-27 04:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:07:36 tlr: 7.6e-05 tnm: 0.50 Lm: 6.762 (6.762) Lt: 6.038 (6.038) Accm: 2.79 (2.79) Acct: 4.24 (4.24) proj_loss: -0.5922 (-0.5922) time: 0.3604 data: 0.0003
[11-27 04:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 417/1669] eta: 0:07:36 tlr: 7.6e-05 tnm: 0.50 Lm: 6.854 (6.854) Lt: 6.128 (6.128) Accm: 2.40 (2.40) Acct: 3.89 (3.89) proj_loss: -0.5734 (-0.5734) time: 0.3604 data: 0.0003
[11-27 04:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:05:03 tlr: 7.6e-05 tnm: 0.51 Lm: 6.843 (6.826) Lt: 6.109 (6.078) Accm: 2.51 (2.55) Acct: 4.01 (4.07) proj_loss: -0.5706 (-0.5725) time: 0.3606 data: 0.0003
[11-27 04:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:05:03 tlr: 7.6e-05 tnm: 0.51 Lm: 6.794 (6.806) Lt: 6.113 (6.084) Accm: 2.63 (2.66) Acct: 4.12 (4.15) proj_loss: -0.5883 (-0.5902) time: 0.3607 data: 0.0003
[11-27 04:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:05:03 tlr: 7.6e-05 tnm: 0.51 Lm: 6.671 (6.722) Lt: 5.927 (5.987) Accm: 2.96 (2.86) Acct: 4.49 (4.40) proj_loss: -0.6042 (-0.5981) time: 0.3607 data: 0.0003
[11-27 04:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [ 834/1669] eta: 0:05:03 tlr: 7.6e-05 tnm: 0.51 Lm: 6.730 (6.777) Lt: 6.057 (6.067) Accm: 2.53 (2.65) Acct: 3.99 (4.15) proj_loss: -0.6038 (-0.6013) time: 0.3607 data: 0.0003
[11-27 04:21:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:02:31 tlr: 7.5e-05 tnm: 0.51 Lm: 6.763 (6.782) Lt: 6.073 (6.073) Accm: 2.74 (2.75) Acct: 4.25 (4.28) proj_loss: -0.6071 (-0.6040) time: 0.3604 data: 0.0003
[11-27 04:21:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:02:31 tlr: 7.5e-05 tnm: 0.51 Lm: 6.738 (6.743) Lt: 5.995 (6.006) Accm: 2.95 (2.88) Acct: 4.51 (4.43) proj_loss: -0.6070 (-0.6033) time: 0.3604 data: 0.0003
[11-27 04:21:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:02:31 tlr: 7.5e-05 tnm: 0.51 Lm: 6.823 (6.823) Lt: 6.120 (6.107) Accm: 2.59 (2.61) Acct: 4.01 (4.08) proj_loss: -0.5965 (-0.5938) time: 0.3604 data: 0.0003
[11-27 04:21:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1251/1669] eta: 0:02:31 tlr: 7.5e-05 tnm: 0.51 Lm: 6.854 (6.859) Lt: 6.128 (6.129) Accm: 2.40 (2.48) Acct: 3.89 (3.98) proj_loss: -0.5779 (-0.5792) time: 0.3604 data: 0.0003
[11-27 04:23:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.51 Lm: 6.858 (6.858) Lt: 6.146 (6.134) Accm: 2.45 (2.47) Acct: 3.77 (3.94) proj_loss: -0.5824 (-0.5798) time: 0.3630 data: 0.0018
[11-27 04:23:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:10:08 (0.364 s / it)
[11-27 04:23:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.51 Lm: 6.730 (6.743) Lt: 6.057 (6.038) Accm: 2.96 (2.82) Acct: 4.51 (4.38) proj_loss: -0.6038 (-0.6032) time: 0.3630 data: 0.0020
[11-27 04:23:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.51 Lm: 6.794 (6.787) Lt: 6.113 (6.067) Accm: 2.63 (2.69) Acct: 4.12 (4.21) proj_loss: -0.5951 (-0.5941) time: 0.3630 data: 0.0016
[11-27 04:23:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 249/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.51 Lm: 6.805 (6.770) Lt: 6.062 (6.045) Accm: 2.93 (2.81) Acct: 4.49 (4.34) proj_loss: -0.6042 (-0.5998) time: 0.3630 data: 0.0018
[11-27 04:23:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:10:08 (0.364 s / it)
[11-27 04:23:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:10:08 (0.364 s / it)
[11-27 04:23:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 249/350] Total time: 0:10:08 (0.364 s / it)
[11-27 04:26:01] (home/user/VAR/trainer.py, line 114)=> FID: 4.269262015116112
[11-27 04:26:02] (/home/user/VAR/train.py , line 259)=> [*] [ep249] (val 50000) Lm: 6.8082, Lt: 6.0952, Acc m&t: 2.64 4.16, Val cost: 146.93s
[11-27 04:26:02] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-27 04:26:16] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.797 (6.808), Lt: 6.086 (6.095), Acc m&t: 2.66 4.19, Remain: 16:52:04, Finish: 2024-11-27 05:15
[11-27 04:26:16] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.797 (6.808), Lt: 6.086 (6.095), Acc m&t: 2.66 4.19, Remain: 16:52:54, Finish: 2024-11-27 05:16
[11-27 04:26:16] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.797 (6.808), Lt: 6.086 (6.095), Acc m&t: 2.66 4.19, Remain: 16:52:56, Finish: 2024-11-27 05:16
[11-27 04:26:16] (/home/user/VAR/train.py , line 276)=> [ep249] (training ) Lm: 6.797 (6.808), Lt: 6.086 (6.095), Acc m&t: 2.66 4.19, Remain: 16:52:50, Finish: 2024-11-27 05:16
[11-27 04:26:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:09:53 tlr: 7.5e-05 tnm: 0.50 Lm: 6.825 (6.825) Lt: 6.122 (6.122) Accm: 2.48 (2.48) Acct: 3.91 (3.91) proj_loss: -0.5912 (-0.5912) time: 0.3555 data: 0.0004
[11-27 04:26:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:10:15 tlr: 7.5e-05 tnm: 0.50 Lm: 6.927 (6.927) Lt: 6.206 (6.206) Accm: 2.26 (2.26) Acct: 3.58 (3.58) proj_loss: -0.5978 (-0.5978) time: 0.3686 data: 0.0003
[11-27 04:26:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:09:54 tlr: 7.5e-05 tnm: 0.50 Lm: 6.987 (6.987) Lt: 6.326 (6.326) Accm: 2.21 (2.21) Acct: 3.60 (3.60) proj_loss: -0.5989 (-0.5989) time: 0.3560 data: 0.0004
[11-27 04:26:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 0/1669] eta: 0:09:54 tlr: 7.5e-05 tnm: 0.50 Lm: 6.899 (6.899) Lt: 6.215 (6.215) Accm: 2.41 (2.41) Acct: 3.72 (3.72) proj_loss: -0.6028 (-0.6028) time: 0.3559 data: 0.0004
[11-27 04:28:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:07:39 tlr: 7.5e-05 tnm: 0.51 Lm: 6.792 (6.792) Lt: 6.080 (6.080) Accm: 2.77 (2.77) Acct: 4.34 (4.34) proj_loss: -0.5979 (-0.5979) time: 0.3617 data: 0.0003
[11-27 04:28:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:07:39 tlr: 7.5e-05 tnm: 0.51 Lm: 6.884 (6.884) Lt: 6.149 (6.149) Accm: 2.41 (2.41) Acct: 3.75 (3.75) proj_loss: -0.5871 (-0.5871) time: 0.3617 data: 0.0003
[11-27 04:28:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:07:39 tlr: 7.5e-05 tnm: 0.51 Lm: 6.747 (6.747) Lt: 6.035 (6.035) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: -0.5873 (-0.5873) time: 0.3617 data: 0.0003
[11-27 04:28:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 417/1669] eta: 0:07:39 tlr: 7.5e-05 tnm: 0.51 Lm: 7.001 (7.001) Lt: 6.321 (6.321) Accm: 2.09 (2.09) Acct: 3.31 (3.31) proj_loss: -0.5987 (-0.5987) time: 0.3617 data: 0.0003
[11-27 04:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:05:13 tlr: 7.5e-05 tnm: 0.51 Lm: 6.987 (6.947) Lt: 6.317 (6.250) Accm: 2.21 (2.23) Acct: 3.60 (3.55) proj_loss: -0.5986 (-0.5930) time: 0.3616 data: 0.0003
[11-27 04:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:05:13 tlr: 7.5e-05 tnm: 0.51 Lm: 6.825 (6.785) Lt: 6.122 (6.076) Accm: 2.48 (2.62) Acct: 3.91 (4.17) proj_loss: -0.5905 (-0.5884) time: 0.3616 data: 0.0003
[11-27 04:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:05:13 tlr: 7.5e-05 tnm: 0.51 Lm: 6.738 (6.774) Lt: 6.001 (6.054) Accm: 2.72 (2.76) Acct: 4.58 (4.42) proj_loss: -0.5965 (-0.5974) time: 0.3616 data: 0.0003
[11-27 04:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [ 834/1669] eta: 0:05:13 tlr: 7.5e-05 tnm: 0.51 Lm: 6.841 (6.863) Lt: 6.101 (6.133) Accm: 2.51 (2.45) Acct: 3.93 (3.90) proj_loss: -0.5886 (-0.5876) time: 0.3616 data: 0.0003
[11-27 04:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:02:36 tlr: 7.5e-05 tnm: 0.50 Lm: 6.831 (6.843) Lt: 6.097 (6.105) Accm: 2.54 (2.52) Acct: 4.06 (4.09) proj_loss: -0.5825 (-0.5839) time: 0.3627 data: 0.0003
[11-27 04:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:02:36 tlr: 7.5e-05 tnm: 0.50 Lm: 6.764 (6.778) Lt: 6.043 (6.061) Accm: 2.82 (2.80) Acct: 4.67 (4.51) proj_loss: -0.5996 (-0.5996) time: 0.3627 data: 0.0003
[11-27 04:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:02:36 tlr: 7.5e-05 tnm: 0.50 Lm: 6.841 (6.803) Lt: 6.126 (6.089) Accm: 2.61 (2.65) Acct: 4.09 (4.20) proj_loss: -0.5869 (-0.5838) time: 0.3627 data: 0.0003
[11-27 04:34:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1251/1669] eta: 0:02:36 tlr: 7.5e-05 tnm: 0.50 Lm: 6.913 (6.892) Lt: 6.212 (6.190) Accm: 2.35 (2.35) Acct: 3.81 (3.77) proj_loss: -0.5951 (-0.5927) time: 0.3627 data: 0.0003
[11-27 04:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.841 (6.882) Lt: 6.180 (6.188) Accm: 2.39 (2.36) Acct: 3.74 (3.76) proj_loss: -0.5986 (-0.5956) time: 0.3612 data: 0.0017
[11-27 04:36:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:10:28 (0.376 s / it)
[11-27 04:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.825 (6.799) Lt: 6.122 (6.091) Accm: 2.64 (2.65) Acct: 3.99 (4.16) proj_loss: -0.5905 (-0.5898) time: 0.3612 data: 0.0020
[11-27 04:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.820 (6.838) Lt: 6.101 (6.110) Accm: 2.57 (2.54) Acct: 4.06 (4.09) proj_loss: -0.5886 (-0.5856) time: 0.3612 data: 0.0015
[11-27 04:36:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 250/350] [1668/1669] eta: 0:00:00 tlr: 7.5e-05 tnm: 0.50 Lm: 6.787 (6.780) Lt: 6.077 (6.064) Accm: 2.72 (2.72) Acct: 4.58 (4.31) proj_loss: -0.5965 (-0.5975) time: 0.3612 data: 0.0019
[11-27 04:36:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:10:28 (0.376 s / it)
[11-27 04:36:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:10:28 (0.376 s / it)
[11-27 04:36:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 250/350] Total time: 0:10:28 (0.376 s / it)
[11-27 04:36:44] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.797 (6.819), Lt: 6.086 (6.114), Acc m&t: 2.66 4.19, Remain: 16:40:29, Finish: 2024-11-27 05:17
[11-27 04:36:44] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.797 (6.819), Lt: 6.086 (6.114), Acc m&t: 2.66 4.19, Remain: 16:40:41, Finish: 2024-11-27 05:17
[11-27 04:36:44] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.797 (6.819), Lt: 6.086 (6.114), Acc m&t: 2.66 4.19, Remain: 16:40:21, Finish: 2024-11-27 05:17
[11-27 04:36:44] (/home/user/VAR/train.py , line 276)=> [ep250] (training ) Lm: 6.797 (6.819), Lt: 6.086 (6.114), Acc m&t: 2.66 4.19, Remain: 16:41:03, Finish: 2024-11-27 05:17
[11-27 04:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:09:31 tlr: 7.5e-05 tnm: 0.52 Lm: 6.561 (6.561) Lt: 5.844 (5.844) Accm: 3.22 (3.22) Acct: 5.04 (5.04) proj_loss: -0.5999 (-0.5999) time: 0.3426 data: 0.0004
[11-27 04:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:09:39 tlr: 7.5e-05 tnm: 0.52 Lm: 6.903 (6.903) Lt: 6.183 (6.183) Accm: 2.37 (2.37) Acct: 3.91 (3.91) proj_loss: -0.5672 (-0.5672) time: 0.3474 data: 0.0005
[11-27 04:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:09:23 tlr: 7.5e-05 tnm: 0.52 Lm: 6.713 (6.713) Lt: 6.011 (6.011) Accm: 2.59 (2.59) Acct: 3.79 (3.79) proj_loss: -0.5917 (-0.5917) time: 0.3376 data: 0.0003
[11-27 04:36:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 0/1669] eta: 0:11:28 tlr: 7.5e-05 tnm: 0.52 Lm: 6.912 (6.912) Lt: 6.238 (6.238) Accm: 2.14 (2.14) Acct: 3.22 (3.22) proj_loss: -0.6117 (-0.6117) time: 0.4126 data: 0.0004
[11-27 04:39:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:07:38 tlr: 7.4e-05 tnm: 0.51 Lm: 6.804 (6.804) Lt: 6.121 (6.121) Accm: 2.46 (2.46) Acct: 3.69 (3.69) proj_loss: -0.6055 (-0.6055) time: 0.3587 data: 0.0003
[11-27 04:39:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:07:38 tlr: 7.4e-05 tnm: 0.51 Lm: 6.740 (6.740) Lt: 6.032 (6.032) Accm: 2.79 (2.79) Acct: 4.34 (4.34) proj_loss: -0.6009 (-0.6009) time: 0.3587 data: 0.0003
[11-27 04:39:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:07:38 tlr: 7.4e-05 tnm: 0.51 Lm: 6.875 (6.875) Lt: 6.171 (6.171) Accm: 2.60 (2.60) Acct: 4.07 (4.07) proj_loss: -0.5894 (-0.5894) time: 0.3587 data: 0.0003
[11-27 04:39:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 417/1669] eta: 0:07:38 tlr: 7.4e-05 tnm: 0.51 Lm: 6.738 (6.738) Lt: 6.045 (6.045) Accm: 2.73 (2.73) Acct: 4.09 (4.09) proj_loss: -0.6029 (-0.6029) time: 0.3587 data: 0.0003
[11-27 04:41:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:05:04 tlr: 7.4e-05 tnm: 0.50 Lm: 6.763 (6.775) Lt: 6.080 (6.081) Accm: 2.70 (2.72) Acct: 4.25 (4.14) proj_loss: -0.5942 (-0.6000) time: 0.3610 data: 0.0003
[11-27 04:41:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:05:04 tlr: 7.4e-05 tnm: 0.50 Lm: 6.561 (6.653) Lt: 5.844 (5.918) Accm: 3.22 (3.00) Acct: 5.04 (4.78) proj_loss: -0.5999 (-0.5982) time: 0.3610 data: 0.0002
[11-27 04:41:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:05:04 tlr: 7.4e-05 tnm: 0.50 Lm: 6.846 (6.838) Lt: 6.159 (6.118) Accm: 2.78 (2.66) Acct: 4.24 (4.18) proj_loss: -0.5929 (-0.5906) time: 0.3610 data: 0.0003
[11-27 04:41:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [ 834/1669] eta: 0:05:04 tlr: 7.4e-05 tnm: 0.50 Lm: 6.697 (6.745) Lt: 6.003 (6.057) Accm: 2.78 (2.59) Acct: 4.17 (3.94) proj_loss: -0.6117 (-0.6106) time: 0.3610 data: 0.0002
[11-27 04:44:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:02:32 tlr: 7.4e-05 tnm: 0.51 Lm: 6.804 (6.800) Lt: 6.121 (6.107) Accm: 2.59 (2.54) Acct: 4.05 (3.93) proj_loss: -0.6055 (-0.6055) time: 0.3637 data: 0.0002
[11-27 04:44:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:02:32 tlr: 7.4e-05 tnm: 0.51 Lm: 6.639 (6.669) Lt: 5.912 (5.934) Accm: 3.08 (2.99) Acct: 4.63 (4.64) proj_loss: -0.6009 (-0.6003) time: 0.3637 data: 0.0003
[11-27 04:44:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:02:32 tlr: 7.4e-05 tnm: 0.51 Lm: 6.805 (6.806) Lt: 6.086 (6.082) Accm: 2.80 (2.71) Acct: 4.29 (4.22) proj_loss: -0.5855 (-0.5875) time: 0.3637 data: 0.0003
[11-27 04:44:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1251/1669] eta: 0:02:32 tlr: 7.4e-05 tnm: 0.51 Lm: 6.806 (6.797) Lt: 6.112 (6.097) Accm: 2.64 (2.67) Acct: 4.11 (4.10) proj_loss: -0.5929 (-0.5963) time: 0.3637 data: 0.0003
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.49 Lm: 6.773 (6.792) Lt: 6.080 (6.090) Accm: 2.59 (2.65) Acct: 4.08 (4.09) proj_loss: -0.5942 (-0.5983) time: 0.3610 data: 0.0016
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:10:05 (0.363 s / it)
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.49 Lm: 6.717 (6.696) Lt: 5.980 (5.978) Accm: 2.94 (2.89) Acct: 4.22 (4.52) proj_loss: -0.5999 (-0.6002) time: 0.3610 data: 0.0018
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.49 Lm: 6.764 (6.793) Lt: 6.012 (6.065) Accm: 2.78 (2.68) Acct: 4.24 (4.17) proj_loss: -0.5842 (-0.5868) time: 0.3610 data: 0.0018
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 251/350] [1668/1669] eta: 0:00:00 tlr: 7.4e-05 tnm: 0.49 Lm: 6.821 (6.804) Lt: 6.126 (6.111) Accm: 2.72 (2.58) Acct: 4.03 (3.95) proj_loss: -0.6085 (-0.6061) time: 0.3610 data: 0.0014
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:10:05 (0.363 s / it)
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:10:06 (0.363 s / it)
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 251/350] Total time: 0:10:06 (0.363 s / it)
[11-27 04:46:51] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.796 (6.796), Lt: 6.086 (6.087), Acc m&t: 2.66 4.19, Remain: 16:29:15, Finish: 2024-11-27 05:16
[11-27 04:46:51] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.796 (6.796), Lt: 6.086 (6.087), Acc m&t: 2.66 4.19, Remain: 16:29:10, Finish: 2024-11-27 05:16
[11-27 04:46:51] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.796 (6.796), Lt: 6.086 (6.087), Acc m&t: 2.66 4.19, Remain: 16:29:49, Finish: 2024-11-27 05:16
[11-27 04:46:51] (/home/user/VAR/train.py , line 276)=> [ep251] (training ) Lm: 6.796 (6.796), Lt: 6.086 (6.087), Acc m&t: 2.66 4.19, Remain: 16:29:21, Finish: 2024-11-27 05:16
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:09:30 tlr: 7.4e-05 tnm: 0.50 Lm: 6.877 (6.877) Lt: 6.219 (6.219) Accm: 2.48 (2.48) Acct: 3.67 (3.67) proj_loss: -0.6103 (-0.6103) time: 0.3420 data: 0.0003
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:09:30 tlr: 7.4e-05 tnm: 0.50 Lm: 6.848 (6.848) Lt: 6.124 (6.124) Accm: 2.48 (2.48) Acct: 3.96 (3.96) proj_loss: -0.5881 (-0.5881) time: 0.3418 data: 0.0004
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:09:29 tlr: 7.4e-05 tnm: 0.50 Lm: 6.957 (6.957) Lt: 6.299 (6.299) Accm: 2.36 (2.36) Acct: 3.70 (3.70) proj_loss: -0.6007 (-0.6007) time: 0.3411 data: 0.0004
[11-27 04:46:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 0/1669] eta: 0:09:31 tlr: 7.4e-05 tnm: 0.50 Lm: 6.891 (6.891) Lt: 6.189 (6.189) Accm: 2.43 (2.43) Acct: 4.06 (4.06) proj_loss: -0.5751 (-0.5751) time: 0.3423 data: 0.0004
[11-27 04:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:07:36 tlr: 7.4e-05 tnm: 0.51 Lm: 6.830 (6.830) Lt: 6.105 (6.105) Accm: 2.51 (2.51) Acct: 4.23 (4.23) proj_loss: -0.5849 (-0.5849) time: 0.3615 data: 0.0003
[11-27 04:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:07:36 tlr: 7.4e-05 tnm: 0.51 Lm: 6.802 (6.802) Lt: 6.080 (6.080) Accm: 2.63 (2.63) Acct: 4.27 (4.27) proj_loss: -0.5915 (-0.5915) time: 0.3615 data: 0.0003
[11-27 04:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:07:36 tlr: 7.4e-05 tnm: 0.51 Lm: 6.794 (6.794) Lt: 6.119 (6.119) Accm: 2.82 (2.82) Acct: 4.55 (4.55) proj_loss: -0.6070 (-0.6070) time: 0.3615 data: 0.0003
[11-27 04:49:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 417/1669] eta: 0:07:36 tlr: 7.4e-05 tnm: 0.51 Lm: 6.794 (6.794) Lt: 6.068 (6.068) Accm: 2.70 (2.70) Acct: 4.26 (4.26) proj_loss: -0.6029 (-0.6029) time: 0.3615 data: 0.0003
[11-27 04:51:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:05:03 tlr: 7.3e-05 tnm: 0.50 Lm: 6.746 (6.778) Lt: 6.016 (6.051) Accm: 2.72 (2.70) Acct: 4.41 (4.31) proj_loss: -0.6044 (-0.6034) time: 0.3627 data: 0.0003
[11-27 04:51:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:05:03 tlr: 7.3e-05 tnm: 0.50 Lm: 6.772 (6.811) Lt: 6.086 (6.099) Accm: 2.59 (2.62) Acct: 4.27 (4.24) proj_loss: -0.5948 (-0.5924) time: 0.3627 data: 0.0002
[11-27 04:51:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:05:03 tlr: 7.3e-05 tnm: 0.50 Lm: 6.847 (6.817) Lt: 6.124 (6.116) Accm: 2.66 (2.64) Acct: 4.03 (4.19) proj_loss: -0.5948 (-0.5948) time: 0.3627 data: 0.0003
[11-27 04:51:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [ 834/1669] eta: 0:05:03 tlr: 7.3e-05 tnm: 0.50 Lm: 6.906 (6.831) Lt: 6.223 (6.154) Accm: 2.53 (2.72) Acct: 4.13 (4.41) proj_loss: -0.6007 (-0.6025) time: 0.3627 data: 0.0003
[11-27 04:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:02:31 tlr: 7.3e-05 tnm: 0.51 Lm: 6.823 (6.808) Lt: 6.122 (6.120) Accm: 2.59 (2.70) Acct: 4.04 (4.29) proj_loss: -0.5990 (-0.6012) time: 0.3622 data: 0.0003
[11-27 04:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:02:31 tlr: 7.3e-05 tnm: 0.51 Lm: 6.831 (6.852) Lt: 6.137 (6.151) Accm: 2.51 (2.52) Acct: 4.17 (4.08) proj_loss: -0.5938 (-0.5925) time: 0.3622 data: 0.0003
[11-27 04:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:02:31 tlr: 7.3e-05 tnm: 0.51 Lm: 6.755 (6.775) Lt: 6.031 (6.049) Accm: 2.67 (2.68) Acct: 4.31 (4.29) proj_loss: -0.6019 (-0.6024) time: 0.3622 data: 0.0003
[11-27 04:54:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1251/1669] eta: 0:02:31 tlr: 7.3e-05 tnm: 0.51 Lm: 6.801 (6.794) Lt: 6.080 (6.090) Accm: 2.72 (2.73) Acct: 4.30 (4.29) proj_loss: -0.5982 (-0.6011) time: 0.3622 data: 0.0003
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.50 Lm: 6.847 (6.815) Lt: 6.124 (6.112) Accm: 2.66 (2.63) Acct: 4.03 (4.10) proj_loss: -0.6015 (-0.6033) time: 0.3633 data: 0.0019
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:10:09 (0.365 s / it)
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.50 Lm: 6.861 (6.819) Lt: 6.210 (6.138) Accm: 2.53 (2.63) Acct: 3.94 (4.14) proj_loss: -0.5979 (-0.6005) time: 0.3633 data: 0.0018
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.50 Lm: 6.802 (6.842) Lt: 6.103 (6.141) Accm: 2.45 (2.51) Acct: 4.06 (4.07) proj_loss: -0.5929 (-0.5916) time: 0.3633 data: 0.0017
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 252/350] [1668/1669] eta: 0:00:00 tlr: 7.3e-05 tnm: 0.50 Lm: 6.764 (6.788) Lt: 6.046 (6.069) Accm: 2.63 (2.66) Acct: 4.29 (4.29) proj_loss: -0.5994 (-0.6012) time: 0.3633 data: 0.0020
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:10:09 (0.365 s / it)
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:10:09 (0.365 s / it)
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 252/350] Total time: 0:10:09 (0.365 s / it)
[11-27 04:57:00] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.796 (6.813), Lt: 6.086 (6.105), Acc m&t: 2.66 4.19, Remain: 16:24:09, Finish: 2024-11-27 05:21
[11-27 04:57:00] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.796 (6.813), Lt: 6.086 (6.105), Acc m&t: 2.66 4.19, Remain: 16:24:27, Finish: 2024-11-27 05:21
[11-27 04:57:00] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.796 (6.813), Lt: 6.086 (6.105), Acc m&t: 2.66 4.19, Remain: 16:24:31, Finish: 2024-11-27 05:21
[11-27 04:57:00] (/home/user/VAR/train.py , line 276)=> [ep252] (training ) Lm: 6.796 (6.813), Lt: 6.086 (6.105), Acc m&t: 2.66 4.19, Remain: 16:24:30, Finish: 2024-11-27 05:21
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:09:50 tlr: 7.3e-05 tnm: 0.50 Lm: 6.894 (6.894) Lt: 6.188 (6.188) Accm: 2.54 (2.54) Acct: 4.01 (4.01) proj_loss: -0.5915 (-0.5915) time: 0.3540 data: 0.0003
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:09:51 tlr: 7.3e-05 tnm: 0.50 Lm: 6.707 (6.707) Lt: 6.103 (6.103) Accm: 2.94 (2.94) Acct: 4.30 (4.30) proj_loss: -0.6056 (-0.6056) time: 0.3547 data: 0.0004
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:09:52 tlr: 7.3e-05 tnm: 0.50 Lm: 6.813 (6.813) Lt: 6.135 (6.135) Accm: 2.59 (2.59) Acct: 3.86 (3.86) proj_loss: -0.5956 (-0.5956) time: 0.3552 data: 0.0004
[11-27 04:57:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 0/1669] eta: 0:09:53 tlr: 7.3e-05 tnm: 0.50 Lm: 6.854 (6.854) Lt: 6.179 (6.179) Accm: 2.56 (2.56) Acct: 4.05 (4.05) proj_loss: -0.5986 (-0.5986) time: 0.3554 data: 0.0004
[11-27 04:59:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:07:49 tlr: 7.3e-05 tnm: 0.50 Lm: 6.898 (6.898) Lt: 6.219 (6.219) Accm: 2.36 (2.36) Acct: 3.81 (3.81) proj_loss: -0.6005 (-0.6005) time: 0.3602 data: 0.0003
[11-27 04:59:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:07:49 tlr: 7.3e-05 tnm: 0.50 Lm: 6.780 (6.780) Lt: 6.094 (6.094) Accm: 2.72 (2.72) Acct: 4.11 (4.11) proj_loss: -0.5975 (-0.5975) time: 0.3602 data: 0.0003
[11-27 04:59:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:07:49 tlr: 7.3e-05 tnm: 0.50 Lm: 6.910 (6.910) Lt: 6.246 (6.246) Accm: 2.48 (2.48) Acct: 3.92 (3.92) proj_loss: -0.5998 (-0.5998) time: 0.3602 data: 0.0003
[11-27 04:59:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 417/1669] eta: 0:07:49 tlr: 7.3e-05 tnm: 0.50 Lm: 6.753 (6.753) Lt: 6.080 (6.080) Accm: 2.82 (2.82) Acct: 4.23 (4.23) proj_loss: -0.6172 (-0.6172) time: 0.3602 data: 0.0002
[11-27 05:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:05:14 tlr: 7.3e-05 tnm: 0.54 Lm: 6.772 (6.759) Lt: 6.084 (6.081) Accm: 2.70 (2.71) Acct: 4.15 (4.14) proj_loss: -0.6173 (-0.6173) time: 0.4011 data: 0.0003
[11-27 05:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:05:14 tlr: 7.3e-05 tnm: 0.54 Lm: 6.813 (6.836) Lt: 6.135 (6.151) Accm: 2.59 (2.56) Acct: 3.86 (3.91) proj_loss: -0.5994 (-0.5998) time: 0.4011 data: 0.0003
[11-27 05:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:05:14 tlr: 7.3e-05 tnm: 0.54 Lm: 6.943 (6.935) Lt: 6.260 (6.235) Accm: 2.16 (2.27) Acct: 3.58 (3.60) proj_loss: -0.5986 (-0.5902) time: 0.4011 data: 0.0003
[11-27 05:02:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [ 834/1669] eta: 0:05:14 tlr: 7.3e-05 tnm: 0.54 Lm: 6.894 (6.859) Lt: 6.188 (6.169) Accm: 2.54 (2.57) Acct: 4.01 (4.06) proj_loss: -0.5915 (-0.5965) time: 0.4011 data: 0.0003
[11-27 05:04:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:02:37 tlr: 7.3e-05 tnm: 0.50 Lm: 6.891 (6.867) Lt: 6.201 (6.180) Accm: 2.48 (2.47) Acct: 3.92 (3.96) proj_loss: -0.5908 (-0.5944) time: 0.4401 data: 0.0003
[11-27 05:04:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:02:37 tlr: 7.3e-05 tnm: 0.50 Lm: 6.739 (6.733) Lt: 6.071 (6.044) Accm: 2.82 (2.77) Acct: 4.23 (4.22) proj_loss: -0.6115 (-0.6084) time: 0.4401 data: 0.0003
[11-27 05:04:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:02:37 tlr: 7.3e-05 tnm: 0.50 Lm: 6.791 (6.819) Lt: 6.094 (6.121) Accm: 2.64 (2.59) Acct: 4.11 (4.04) proj_loss: -0.5975 (-0.5981) time: 0.4402 data: 0.0003
[11-27 05:04:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1251/1669] eta: 0:02:37 tlr: 7.3e-05 tnm: 0.50 Lm: 6.898 (6.892) Lt: 6.219 (6.191) Accm: 2.36 (2.39) Acct: 3.81 (3.74) proj_loss: -0.5922 (-0.5891) time: 0.4401 data: 0.0003
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.893 (6.892) Lt: 6.211 (6.195) Accm: 2.44 (2.40) Acct: 3.67 (3.73) proj_loss: -0.5986 (-0.5926) time: 0.3622 data: 0.0018
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:10:27 (0.376 s / it)
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.889 (6.849) Lt: 6.188 (6.151) Accm: 2.54 (2.55) Acct: 4.01 (4.06) proj_loss: -0.5900 (-0.5925) time: 0.3622 data: 0.0014
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.770 (6.793) Lt: 6.054 (6.089) Accm: 2.70 (2.64) Acct: 4.36 (4.12) proj_loss: -0.5956 (-0.5967) time: 0.3622 data: 0.0017
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 253/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.772 (6.759) Lt: 6.084 (6.063) Accm: 2.70 (2.72) Acct: 4.15 (4.14) proj_loss: -0.6056 (-0.6026) time: 0.3622 data: 0.0016
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:10:27 (0.376 s / it)
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:10:27 (0.376 s / it)
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 253/350] Total time: 0:10:27 (0.376 s / it)
[11-27 05:07:28] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.796 (6.812), Lt: 6.086 (6.105), Acc m&t: 2.66 4.19, Remain: 16:14:26, Finish: 2024-11-27 05:21
[11-27 05:07:28] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.796 (6.812), Lt: 6.086 (6.105), Acc m&t: 2.66 4.19, Remain: 16:14:00, Finish: 2024-11-27 05:21
[11-27 05:07:28] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.796 (6.812), Lt: 6.086 (6.105), Acc m&t: 2.66 4.19, Remain: 16:14:25, Finish: 2024-11-27 05:21
[11-27 05:07:28] (/home/user/VAR/train.py , line 276)=> [ep253] (training ) Lm: 6.796 (6.812), Lt: 6.086 (6.105), Acc m&t: 2.66 4.19, Remain: 16:14:50, Finish: 2024-11-27 05:22
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:09:46 tlr: 7.2e-05 tnm: 0.53 Lm: 6.813 (6.813) Lt: 6.150 (6.150) Accm: 2.72 (2.72) Acct: 4.13 (4.13) proj_loss: -0.6002 (-0.6002) time: 0.3516 data: 0.0003
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:09:47 tlr: 7.2e-05 tnm: 0.53 Lm: 6.911 (6.911) Lt: 6.197 (6.197) Accm: 2.35 (2.35) Acct: 3.96 (3.96) proj_loss: -0.5899 (-0.5899) time: 0.3522 data: 0.0004
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:09:47 tlr: 7.2e-05 tnm: 0.53 Lm: 6.749 (6.749) Lt: 6.060 (6.060) Accm: 2.73 (2.73) Acct: 4.53 (4.53) proj_loss: -0.6030 (-0.6030) time: 0.3522 data: 0.0004
[11-27 05:07:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 0/1669] eta: 0:09:34 tlr: 7.2e-05 tnm: 0.53 Lm: 6.841 (6.841) Lt: 6.172 (6.172) Accm: 2.70 (2.70) Acct: 3.99 (3.99) proj_loss: -0.6005 (-0.6005) time: 0.3445 data: 0.0004
[11-27 05:10:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:07:41 tlr: 7.2e-05 tnm: 0.51 Lm: 6.872 (6.872) Lt: 6.225 (6.225) Accm: 2.54 (2.54) Acct: 3.85 (3.85) proj_loss: -0.5983 (-0.5983) time: 0.3628 data: 0.0003
[11-27 05:10:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:07:41 tlr: 7.2e-05 tnm: 0.51 Lm: 6.866 (6.866) Lt: 6.188 (6.188) Accm: 2.67 (2.67) Acct: 4.15 (4.15) proj_loss: -0.6118 (-0.6118) time: 0.3628 data: 0.0002
[11-27 05:10:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:07:41 tlr: 7.2e-05 tnm: 0.51 Lm: 6.755 (6.755) Lt: 6.024 (6.024) Accm: 2.79 (2.79) Acct: 4.52 (4.52) proj_loss: -0.5928 (-0.5928) time: 0.3628 data: 0.0003
[11-27 05:10:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 417/1669] eta: 0:07:41 tlr: 7.2e-05 tnm: 0.51 Lm: 6.761 (6.761) Lt: 6.091 (6.091) Accm: 2.64 (2.64) Acct: 4.12 (4.12) proj_loss: -0.6023 (-0.6023) time: 0.3628 data: 0.0003
[11-27 05:12:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:05:05 tlr: 7.2e-05 tnm: 0.49 Lm: 6.773 (6.811) Lt: 6.122 (6.131) Accm: 2.56 (2.60) Acct: 4.27 (4.17) proj_loss: -0.6015 (-0.6004) time: 0.3638 data: 0.0003
[11-27 05:12:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:05:05 tlr: 7.2e-05 tnm: 0.49 Lm: 6.775 (6.762) Lt: 6.058 (6.035) Accm: 2.72 (2.76) Acct: 4.56 (4.53) proj_loss: -0.5899 (-0.5897) time: 0.3638 data: 0.0003
[11-27 05:12:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:05:05 tlr: 7.2e-05 tnm: 0.49 Lm: 6.813 (6.789) Lt: 6.150 (6.086) Accm: 2.72 (2.90) Acct: 4.17 (4.45) proj_loss: -0.6038 (-0.6091) time: 0.3638 data: 0.0003
[11-27 05:12:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [ 834/1669] eta: 0:05:05 tlr: 7.2e-05 tnm: 0.49 Lm: 6.841 (6.836) Lt: 6.172 (6.179) Accm: 2.53 (2.54) Acct: 3.99 (3.91) proj_loss: -0.6005 (-0.6010) time: 0.3638 data: 0.0003
[11-27 05:15:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:02:32 tlr: 7.2e-05 tnm: 0.50 Lm: 6.847 (6.840) Lt: 6.163 (6.173) Accm: 2.54 (2.54) Acct: 4.01 (3.94) proj_loss: -0.5983 (-0.5972) time: 0.3609 data: 0.0003
[11-27 05:15:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:02:32 tlr: 7.2e-05 tnm: 0.50 Lm: 6.720 (6.737) Lt: 5.992 (6.008) Accm: 2.89 (2.84) Acct: 4.66 (4.59) proj_loss: -0.5923 (-0.5910) time: 0.3609 data: 0.0003
[11-27 05:15:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:02:32 tlr: 7.2e-05 tnm: 0.50 Lm: 6.772 (6.774) Lt: 6.099 (6.077) Accm: 2.67 (2.81) Acct: 4.15 (4.30) proj_loss: -0.6136 (-0.6130) time: 0.3609 data: 0.0003
[11-27 05:15:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1251/1669] eta: 0:02:32 tlr: 7.2e-05 tnm: 0.50 Lm: 6.761 (6.783) Lt: 6.091 (6.095) Accm: 2.64 (2.68) Acct: 4.31 (4.22) proj_loss: -0.5991 (-0.5982) time: 0.3609 data: 0.0003
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.50 Lm: 6.773 (6.784) Lt: 6.122 (6.101) Accm: 2.70 (2.69) Acct: 4.27 (4.19) proj_loss: -0.6015 (-0.6014) time: 0.3619 data: 0.0021
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:10:06 (0.364 s / it)
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.50 Lm: 6.775 (6.748) Lt: 6.058 (6.030) Accm: 2.83 (2.84) Acct: 4.56 (4.57) proj_loss: -0.5947 (-0.5917) time: 0.3619 data: 0.0017
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.50 Lm: 6.853 (6.860) Lt: 6.172 (6.188) Accm: 2.53 (2.52) Acct: 3.99 (3.92) proj_loss: -0.5961 (-0.5963) time: 0.3619 data: 0.0020
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 254/350] [1668/1669] eta: 0:00:00 tlr: 7.2e-05 tnm: 0.50 Lm: 6.813 (6.786) Lt: 6.102 (6.082) Accm: 2.62 (2.76) Acct: 4.13 (4.27) proj_loss: -0.6038 (-0.6095) time: 0.3619 data: 0.0019
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:10:06 (0.364 s / it)
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:10:06 (0.364 s / it)
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 254/350] Total time: 0:10:06 (0.364 s / it)
[11-27 05:17:35] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.796 (6.796), Lt: 6.086 (6.087), Acc m&t: 2.66 4.19, Remain: 16:03:51, Finish: 2024-11-27 05:21
[11-27 05:17:35] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.796 (6.796), Lt: 6.086 (6.087), Acc m&t: 2.66 4.19, Remain: 16:03:55, Finish: 2024-11-27 05:21
[11-27 05:17:35] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.796 (6.796), Lt: 6.086 (6.087), Acc m&t: 2.66 4.19, Remain: 16:03:37, Finish: 2024-11-27 05:21
[11-27 05:17:35] (/home/user/VAR/train.py , line 276)=> [ep254] (training ) Lm: 6.796 (6.796), Lt: 6.086 (6.087), Acc m&t: 2.66 4.19, Remain: 16:03:49, Finish: 2024-11-27 05:21
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:10:01 tlr: 7.2e-05 tnm: 0.51 Lm: 6.950 (6.950) Lt: 6.252 (6.252) Accm: 2.20 (2.20) Acct: 3.58 (3.58) proj_loss: -0.5723 (-0.5723) time: 0.3602 data: 0.0003
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:09:34 tlr: 7.2e-05 tnm: 0.51 Lm: 6.615 (6.615) Lt: 5.868 (5.868) Accm: 3.08 (3.08) Acct: 5.04 (5.04) proj_loss: -0.6036 (-0.6036) time: 0.3441 data: 0.0004
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:10:00 tlr: 7.2e-05 tnm: 0.51 Lm: 6.738 (6.738) Lt: 6.009 (6.009) Accm: 2.70 (2.70) Acct: 4.20 (4.20) proj_loss: -0.5992 (-0.5992) time: 0.3596 data: 0.0004
[11-27 05:17:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 0/1669] eta: 0:10:01 tlr: 7.2e-05 tnm: 0.51 Lm: 6.841 (6.841) Lt: 6.169 (6.169) Accm: 2.38 (2.38) Acct: 3.53 (3.53) proj_loss: -0.5980 (-0.5980) time: 0.3606 data: 0.0004
[11-27 05:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:07:32 tlr: 7.1e-05 tnm: 0.53 Lm: 6.741 (6.741) Lt: 5.983 (5.983) Accm: 2.80 (2.80) Acct: 4.57 (4.57) proj_loss: -0.6015 (-0.6015) time: 0.3597 data: 0.0003
[11-27 05:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:07:32 tlr: 7.1e-05 tnm: 0.53 Lm: 6.800 (6.800) Lt: 6.094 (6.094) Accm: 2.52 (2.52) Acct: 3.92 (3.92) proj_loss: -0.6048 (-0.6048) time: 0.3597 data: 0.0003
[11-27 05:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:07:32 tlr: 7.1e-05 tnm: 0.53 Lm: 6.900 (6.900) Lt: 6.216 (6.216) Accm: 2.34 (2.34) Acct: 3.67 (3.67) proj_loss: -0.5824 (-0.5824) time: 0.3597 data: 0.0003
[11-27 05:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 417/1669] eta: 0:07:32 tlr: 7.1e-05 tnm: 0.53 Lm: 6.736 (6.736) Lt: 6.053 (6.053) Accm: 2.78 (2.78) Acct: 4.24 (4.24) proj_loss: -0.5960 (-0.5960) time: 0.3597 data: 0.0003
[11-27 05:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:05:01 tlr: 7.1e-05 tnm: 0.51 Lm: 6.841 (6.787) Lt: 6.169 (6.096) Accm: 2.57 (2.71) Acct: 4.18 (4.22) proj_loss: -0.5940 (-0.5938) time: 0.3611 data: 0.0003
[11-27 05:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:05:01 tlr: 7.1e-05 tnm: 0.51 Lm: 6.891 (6.897) Lt: 6.183 (6.205) Accm: 2.48 (2.44) Acct: 3.75 (3.91) proj_loss: -0.5925 (-0.5912) time: 0.3611 data: 0.0003
[11-27 05:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:05:01 tlr: 7.1e-05 tnm: 0.51 Lm: 6.690 (6.724) Lt: 5.976 (5.981) Accm: 3.08 (3.02) Acct: 5.04 (4.80) proj_loss: -0.5994 (-0.5960) time: 0.3611 data: 0.0003
[11-27 05:22:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [ 834/1669] eta: 0:05:01 tlr: 7.1e-05 tnm: 0.51 Lm: 6.791 (6.797) Lt: 6.102 (6.097) Accm: 2.50 (2.51) Acct: 3.99 (3.94) proj_loss: -0.6082 (-0.6059) time: 0.3611 data: 0.0002
[11-27 05:25:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:02:32 tlr: 7.1e-05 tnm: 0.51 Lm: 6.826 (6.816) Lt: 6.108 (6.101) Accm: 2.43 (2.47) Acct: 3.99 (3.95) proj_loss: -0.6037 (-0.5981) time: 0.4057 data: 0.0003
[11-27 05:25:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:02:32 tlr: 7.1e-05 tnm: 0.51 Lm: 6.870 (6.861) Lt: 6.182 (6.163) Accm: 2.55 (2.51) Acct: 4.05 (4.02) proj_loss: -0.5974 (-0.5940) time: 0.4057 data: 0.0003
[11-27 05:25:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:02:32 tlr: 7.1e-05 tnm: 0.51 Lm: 6.721 (6.731) Lt: 6.000 (5.992) Accm: 2.95 (2.97) Acct: 4.80 (4.74) proj_loss: -0.6015 (-0.5981) time: 0.4057 data: 0.0003
[11-27 05:25:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1251/1669] eta: 0:02:32 tlr: 7.1e-05 tnm: 0.51 Lm: 6.865 (6.828) Lt: 6.175 (6.133) Accm: 2.48 (2.56) Acct: 3.86 (4.02) proj_loss: -0.5960 (-0.5972) time: 0.4057 data: 0.0004
[11-27 05:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.49 Lm: 6.841 (6.821) Lt: 6.169 (6.131) Accm: 2.50 (2.55) Acct: 4.08 (4.03) proj_loss: -0.5980 (-0.5974) time: 0.3606 data: 0.0017
[11-27 05:27:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:10:10 (0.366 s / it)
[11-27 05:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.49 Lm: 6.849 (6.845) Lt: 6.180 (6.152) Accm: 2.50 (2.51) Acct: 3.75 (3.96) proj_loss: -0.6022 (-0.5973) time: 0.3607 data: 0.0016
[11-27 05:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.49 Lm: 6.791 (6.795) Lt: 6.102 (6.087) Accm: 2.50 (2.48) Acct: 3.99 (4.00) proj_loss: -0.6019 (-0.5989) time: 0.3606 data: 0.0015
[11-27 05:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 255/350] [1668/1669] eta: 0:00:00 tlr: 7.1e-05 tnm: 0.49 Lm: 6.703 (6.726) Lt: 5.983 (5.990) Accm: 2.81 (2.91) Acct: 4.55 (4.65) proj_loss: -0.6036 (-0.6010) time: 0.3606 data: 0.0021
[11-27 05:27:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:10:10 (0.366 s / it)
[11-27 05:27:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:10:10 (0.366 s / it)
[11-27 05:27:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 255/350] Total time: 0:10:10 (0.366 s / it)
[11-27 05:27:45] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.796 (6.809), Lt: 6.086 (6.097), Acc m&t: 2.66 4.19, Remain: 15:46:59, Finish: 2024-11-27 05:14
[11-27 05:27:45] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.796 (6.809), Lt: 6.086 (6.097), Acc m&t: 2.66 4.19, Remain: 15:47:00, Finish: 2024-11-27 05:14
[11-27 05:27:45] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.796 (6.809), Lt: 6.086 (6.097), Acc m&t: 2.66 4.19, Remain: 15:47:09, Finish: 2024-11-27 05:14
[11-27 05:27:45] (/home/user/VAR/train.py , line 276)=> [ep255] (training ) Lm: 6.796 (6.809), Lt: 6.086 (6.097), Acc m&t: 2.66 4.19, Remain: 15:47:00, Finish: 2024-11-27 05:14
[11-27 05:27:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:09:45 tlr: 7.1e-05 tnm: 0.53 Lm: 6.929 (6.929) Lt: 6.196 (6.196) Accm: 2.30 (2.30) Acct: 3.65 (3.65) proj_loss: -0.5747 (-0.5747) time: 0.3506 data: 0.0003
[11-27 05:27:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:09:46 tlr: 7.1e-05 tnm: 0.53 Lm: 6.607 (6.607) Lt: 5.834 (5.834) Accm: 2.86 (2.86) Acct: 4.51 (4.51) proj_loss: -0.5772 (-0.5772) time: 0.3514 data: 0.0003
[11-27 05:27:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:09:46 tlr: 7.1e-05 tnm: 0.53 Lm: 6.938 (6.938) Lt: 6.301 (6.301) Accm: 2.12 (2.12) Acct: 3.24 (3.24) proj_loss: -0.6391 (-0.6391) time: 0.3513 data: 0.0003
[11-27 05:27:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 0/1669] eta: 0:09:45 tlr: 7.1e-05 tnm: 0.53 Lm: 6.614 (6.614) Lt: 5.953 (5.953) Accm: 2.83 (2.83) Acct: 4.34 (4.34) proj_loss: -0.6148 (-0.6148) time: 0.3505 data: 0.0004
[11-27 05:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:07:58 tlr: 7.1e-05 tnm: 0.50 Lm: 6.687 (6.687) Lt: 5.969 (5.969) Accm: 2.77 (2.77) Acct: 4.43 (4.43) proj_loss: -0.6046 (-0.6046) time: 0.3638 data: 0.0002
[11-27 05:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:07:58 tlr: 7.1e-05 tnm: 0.50 Lm: 6.843 (6.843) Lt: 6.153 (6.153) Accm: 2.60 (2.60) Acct: 3.94 (3.94) proj_loss: -0.5773 (-0.5773) time: 0.3638 data: 0.0003
[11-27 05:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:07:58 tlr: 7.1e-05 tnm: 0.50 Lm: 6.615 (6.615) Lt: 5.877 (5.877) Accm: 2.98 (2.98) Acct: 4.64 (4.64) proj_loss: -0.5884 (-0.5884) time: 0.3638 data: 0.0003
[11-27 05:30:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 417/1669] eta: 0:07:58 tlr: 7.1e-05 tnm: 0.50 Lm: 6.836 (6.836) Lt: 6.140 (6.140) Accm: 2.52 (2.52) Acct: 3.98 (3.98) proj_loss: -0.6159 (-0.6159) time: 0.3638 data: 0.0003
[11-27 05:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:05:15 tlr: 7.1e-05 tnm: 0.51 Lm: 6.800 (6.824) Lt: 6.077 (6.119) Accm: 2.55 (2.53) Acct: 3.98 (3.98) proj_loss: -0.5992 (-0.6104) time: 0.3617 data: 0.0003
[11-27 05:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:05:15 tlr: 7.1e-05 tnm: 0.51 Lm: 6.929 (6.879) Lt: 6.196 (6.187) Accm: 2.30 (2.44) Acct: 3.65 (3.72) proj_loss: -0.5799 (-0.5811) time: 0.3617 data: 0.0003
[11-27 05:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:05:15 tlr: 7.1e-05 tnm: 0.51 Lm: 6.623 (6.713) Lt: 5.920 (5.983) Accm: 2.86 (2.74) Acct: 4.51 (4.24) proj_loss: -0.5996 (-0.5961) time: 0.3617 data: 0.0003
[11-27 05:33:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [ 834/1669] eta: 0:05:15 tlr: 7.1e-05 tnm: 0.51 Lm: 6.760 (6.790) Lt: 5.986 (6.096) Accm: 2.71 (2.60) Acct: 4.34 (4.10) proj_loss: -0.6051 (-0.6048) time: 0.3617 data: 0.0003
[11-27 05:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:02:38 tlr: 7e-05 tnm: 0.53 Lm: 6.839 (6.822) Lt: 6.127 (6.140) Accm: 2.52 (2.53) Acct: 4.00 (3.99) proj_loss: -0.5998 (-0.6017) time: 0.4079 data: 0.0003
[11-27 05:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:02:38 tlr: 7e-05 tnm: 0.53 Lm: 6.874 (6.864) Lt: 6.153 (6.157) Accm: 2.37 (2.44) Acct: 3.69 (3.73) proj_loss: -0.5781 (-0.5798) time: 0.4079 data: 0.0003
[11-27 05:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:02:38 tlr: 7e-05 tnm: 0.53 Lm: 6.767 (6.776) Lt: 6.028 (6.070) Accm: 2.74 (2.71) Acct: 4.35 (4.24) proj_loss: -0.6067 (-0.6113) time: 0.4080 data: 0.0003
[11-27 05:35:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1251/1669] eta: 0:02:38 tlr: 7e-05 tnm: 0.53 Lm: 6.699 (6.729) Lt: 5.998 (6.006) Accm: 2.94 (2.81) Acct: 4.64 (4.39) proj_loss: -0.5996 (-0.5970) time: 0.4079 data: 0.0003
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.53 Lm: 6.776 (6.757) Lt: 6.076 (6.033) Accm: 2.86 (2.73) Acct: 4.51 (4.31) proj_loss: -0.5996 (-0.5916) time: 0.3643 data: 0.0020
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:10:28 (0.377 s / it)
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.53 Lm: 6.860 (6.863) Lt: 6.148 (6.155) Accm: 2.45 (2.48) Acct: 3.74 (3.77) proj_loss: -0.5799 (-0.5843) time: 0.3643 data: 0.0021
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.53 Lm: 6.778 (6.813) Lt: 6.027 (6.117) Accm: 2.70 (2.57) Acct: 4.34 (4.06) proj_loss: -0.5980 (-0.6010) time: 0.3643 data: 0.0015
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 256/350] [1668/1669] eta: 0:00:00 tlr: 7e-05 tnm: 0.53 Lm: 6.800 (6.805) Lt: 6.077 (6.097) Accm: 2.55 (2.66) Acct: 4.03 (4.20) proj_loss: -0.6119 (-0.6114) time: 0.3643 data: 0.0017
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:10:28 (0.377 s / it)
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:10:28 (0.377 s / it)
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 256/350] Total time: 0:10:28 (0.377 s / it)
[11-27 05:38:14] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.796 (6.812), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 15:47:44, Finish: 2024-11-27 05:25
[11-27 05:38:14] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.796 (6.812), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 15:47:28, Finish: 2024-11-27 05:25
[11-27 05:38:14] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.796 (6.812), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 15:48:30, Finish: 2024-11-27 05:26
[11-27 05:38:14] (/home/user/VAR/train.py , line 276)=> [ep256] (training ) Lm: 6.796 (6.812), Lt: 6.086 (6.106), Acc m&t: 2.66 4.19, Remain: 15:47:45, Finish: 2024-11-27 05:25
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:09:43 tlr: 7e-05 tnm: 0.52 Lm: 6.864 (6.864) Lt: 6.187 (6.187) Accm: 2.37 (2.37) Acct: 3.58 (3.58) proj_loss: -0.5904 (-0.5904) time: 0.3495 data: 0.0003
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:09:47 tlr: 7e-05 tnm: 0.52 Lm: 6.716 (6.716) Lt: 6.019 (6.019) Accm: 2.64 (2.64) Acct: 4.15 (4.15) proj_loss: -0.5875 (-0.5875) time: 0.3523 data: 0.0004
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:09:48 tlr: 7e-05 tnm: 0.52 Lm: 6.843 (6.843) Lt: 6.146 (6.146) Accm: 2.41 (2.41) Acct: 4.03 (4.03) proj_loss: -0.6033 (-0.6033) time: 0.3526 data: 0.0004
[11-27 05:38:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 0/1669] eta: 0:09:47 tlr: 7e-05 tnm: 0.52 Lm: 6.826 (6.826) Lt: 6.100 (6.100) Accm: 2.48 (2.48) Acct: 4.01 (4.01) proj_loss: -0.5914 (-0.5914) time: 0.3519 data: 0.0004
[11-27 05:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:07:35 tlr: 7e-05 tnm: 0.51 Lm: 6.891 (6.891) Lt: 6.196 (6.196) Accm: 2.31 (2.31) Acct: 3.65 (3.65) proj_loss: -0.5862 (-0.5862) time: 0.3600 data: 0.0003
[11-27 05:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:07:35 tlr: 7e-05 tnm: 0.51 Lm: 6.775 (6.775) Lt: 6.059 (6.059) Accm: 2.63 (2.63) Acct: 4.26 (4.26) proj_loss: -0.6051 (-0.6051) time: 0.3600 data: 0.0003
[11-27 05:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:07:35 tlr: 7e-05 tnm: 0.51 Lm: 6.769 (6.769) Lt: 6.076 (6.076) Accm: 2.59 (2.59) Acct: 4.05 (4.05) proj_loss: -0.5978 (-0.5978) time: 0.3600 data: 0.0003
[11-27 05:40:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 417/1669] eta: 0:07:35 tlr: 7e-05 tnm: 0.51 Lm: 6.835 (6.835) Lt: 6.171 (6.171) Accm: 2.34 (2.34) Acct: 3.64 (3.64) proj_loss: -0.5964 (-0.5964) time: 0.3600 data: 0.0003
[11-27 05:43:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:05:02 tlr: 7e-05 tnm: 0.52 Lm: 6.864 (6.856) Lt: 6.187 (6.177) Accm: 2.31 (2.30) Acct: 3.58 (3.58) proj_loss: -0.6016 (-0.5981) time: 0.3613 data: 0.0003
[11-27 05:43:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:05:02 tlr: 7e-05 tnm: 0.52 Lm: 6.822 (6.788) Lt: 6.050 (6.067) Accm: 2.57 (2.58) Acct: 4.15 (4.13) proj_loss: -0.5875 (-0.5899) time: 0.3613 data: 0.0003
[11-27 05:43:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:05:02 tlr: 7e-05 tnm: 0.52 Lm: 6.955 (6.933) Lt: 6.292 (6.251) Accm: 2.32 (2.31) Acct: 3.60 (3.63) proj_loss: -0.5810 (-0.5815) time: 0.3613 data: 0.0003
[11-27 05:43:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [ 834/1669] eta: 0:05:02 tlr: 7e-05 tnm: 0.52 Lm: 6.756 (6.769) Lt: 6.048 (6.055) Accm: 2.61 (2.62) Acct: 4.03 (4.13) proj_loss: -0.6042 (-0.6048) time: 0.3613 data: 0.0003
[11-27 05:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:02:31 tlr: 7e-05 tnm: 0.52 Lm: 6.799 (6.790) Lt: 6.097 (6.080) Accm: 2.66 (2.64) Acct: 4.16 (4.17) proj_loss: -0.6037 (-0.6016) time: 0.3623 data: 0.0003
[11-27 05:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:02:31 tlr: 7e-05 tnm: 0.52 Lm: 6.769 (6.763) Lt: 6.034 (6.044) Accm: 2.60 (2.73) Acct: 4.21 (4.36) proj_loss: -0.5978 (-0.5958) time: 0.3623 data: 0.0003
[11-27 05:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:02:31 tlr: 7e-05 tnm: 0.52 Lm: 6.841 (6.847) Lt: 6.171 (6.167) Accm: 2.34 (2.37) Acct: 3.64 (3.69) proj_loss: -0.6001 (-0.5982) time: 0.3623 data: 0.0003
[11-27 05:45:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1251/1669] eta: 0:02:31 tlr: 7e-05 tnm: 0.52 Lm: 6.891 (6.897) Lt: 6.196 (6.201) Accm: 2.40 (2.39) Acct: 3.81 (3.74) proj_loss: -0.5803 (-0.5811) time: 0.3623 data: 0.0003
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.54 Lm: 6.826 (6.866) Lt: 6.100 (6.163) Accm: 2.48 (2.48) Acct: 4.01 (3.92) proj_loss: -0.5810 (-0.5849) time: 0.3640 data: 0.0019
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:10:03 (0.362 s / it)
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.54 Lm: 6.864 (6.863) Lt: 6.187 (6.195) Accm: 2.37 (2.37) Acct: 3.60 (3.67) proj_loss: -0.6016 (-0.6001) time: 0.3640 data: 0.0014
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.54 Lm: 6.843 (6.809) Lt: 6.146 (6.103) Accm: 2.61 (2.59) Acct: 4.03 (4.08) proj_loss: -0.6042 (-0.6041) time: 0.3639 data: 0.0019
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 257/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.54 Lm: 6.822 (6.804) Lt: 6.050 (6.097) Accm: 2.57 (2.62) Acct: 4.15 (4.13) proj_loss: -0.5875 (-0.5912) time: 0.3639 data: 0.0016
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:10:03 (0.362 s / it)
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:10:03 (0.362 s / it)
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 257/350] Total time: 0:10:03 (0.362 s / it)
[11-27 05:48:18] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.796 (6.801), Lt: 6.086 (6.092), Acc m&t: 2.66 4.19, Remain: 15:34:35, Finish: 2024-11-27 05:22
[11-27 05:48:18] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.796 (6.801), Lt: 6.086 (6.092), Acc m&t: 2.66 4.19, Remain: 15:34:16, Finish: 2024-11-27 05:22
[11-27 05:48:18] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.796 (6.801), Lt: 6.086 (6.092), Acc m&t: 2.66 4.19, Remain: 15:35:08, Finish: 2024-11-27 05:23
[11-27 05:48:18] (/home/user/VAR/train.py , line 276)=> [ep257] (training ) Lm: 6.796 (6.801), Lt: 6.086 (6.092), Acc m&t: 2.66 4.19, Remain: 15:34:35, Finish: 2024-11-27 05:22
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:09:35 tlr: 6.9e-05 tnm: 0.51 Lm: 6.885 (6.885) Lt: 6.175 (6.175) Accm: 2.35 (2.35) Acct: 3.70 (3.70) proj_loss: -0.5671 (-0.5671) time: 0.3446 data: 0.0003
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:09:36 tlr: 6.9e-05 tnm: 0.51 Lm: 6.735 (6.735) Lt: 6.027 (6.027) Accm: 2.70 (2.70) Acct: 4.32 (4.32) proj_loss: -0.5869 (-0.5869) time: 0.3455 data: 0.0003
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:09:35 tlr: 6.9e-05 tnm: 0.51 Lm: 6.785 (6.785) Lt: 6.085 (6.085) Accm: 2.72 (2.72) Acct: 4.25 (4.25) proj_loss: -0.6136 (-0.6136) time: 0.3447 data: 0.0003
[11-27 05:48:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 0/1669] eta: 0:09:37 tlr: 6.9e-05 tnm: 0.51 Lm: 6.767 (6.767) Lt: 6.013 (6.013) Accm: 2.67 (2.67) Acct: 4.06 (4.06) proj_loss: -0.5929 (-0.5929) time: 0.3463 data: 0.0004
[11-27 05:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:07:32 tlr: 6.9e-05 tnm: 0.51 Lm: 6.792 (6.792) Lt: 6.088 (6.088) Accm: 2.49 (2.49) Acct: 3.93 (3.93) proj_loss: -0.5934 (-0.5934) time: 0.3600 data: 0.0003
[11-27 05:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:07:32 tlr: 6.9e-05 tnm: 0.51 Lm: 6.792 (6.792) Lt: 6.106 (6.106) Accm: 2.50 (2.50) Acct: 4.04 (4.04) proj_loss: -0.5861 (-0.5861) time: 0.3600 data: 0.0002
[11-27 05:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:07:32 tlr: 6.9e-05 tnm: 0.51 Lm: 6.867 (6.867) Lt: 6.125 (6.125) Accm: 2.45 (2.45) Acct: 3.98 (3.98) proj_loss: -0.5803 (-0.5803) time: 0.3600 data: 0.0002
[11-27 05:50:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 417/1669] eta: 0:07:32 tlr: 6.9e-05 tnm: 0.51 Lm: 6.846 (6.846) Lt: 6.146 (6.146) Accm: 2.50 (2.50) Acct: 4.05 (4.05) proj_loss: -0.6014 (-0.6014) time: 0.3600 data: 0.0003
[11-27 05:53:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:05:01 tlr: 6.9e-05 tnm: 0.53 Lm: 6.907 (6.891) Lt: 6.208 (6.196) Accm: 2.28 (2.33) Acct: 3.84 (3.73) proj_loss: -0.6033 (-0.6020) time: 0.3623 data: 0.0003
[11-27 05:53:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:05:01 tlr: 6.9e-05 tnm: 0.53 Lm: 6.805 (6.796) Lt: 6.044 (6.086) Accm: 2.70 (2.62) Acct: 4.32 (4.21) proj_loss: -0.5869 (-0.5928) time: 0.3623 data: 0.0003
[11-27 05:53:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:05:01 tlr: 6.9e-05 tnm: 0.53 Lm: 6.861 (6.865) Lt: 6.160 (6.137) Accm: 2.47 (2.45) Acct: 3.77 (3.91) proj_loss: -0.5822 (-0.5809) time: 0.3623 data: 0.0003
[11-27 05:53:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [ 834/1669] eta: 0:05:01 tlr: 6.9e-05 tnm: 0.53 Lm: 6.817 (6.850) Lt: 6.162 (6.159) Accm: 2.30 (2.39) Acct: 3.81 (3.73) proj_loss: -0.5929 (-0.5924) time: 0.3623 data: 0.0003
[11-27 05:55:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:02:32 tlr: 6.9e-05 tnm: 0.52 Lm: 6.846 (6.857) Lt: 6.146 (6.163) Accm: 2.50 (2.44) Acct: 3.97 (3.82) proj_loss: -0.5962 (-0.5968) time: 0.3602 data: 0.0004
[11-27 05:55:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:02:32 tlr: 6.9e-05 tnm: 0.52 Lm: 6.855 (6.826) Lt: 6.118 (6.108) Accm: 2.51 (2.57) Acct: 4.01 (4.07) proj_loss: -0.5879 (-0.5849) time: 0.3602 data: 0.0003
[11-27 05:55:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:02:32 tlr: 6.9e-05 tnm: 0.52 Lm: 6.770 (6.765) Lt: 6.036 (6.048) Accm: 2.78 (2.73) Acct: 4.44 (4.39) proj_loss: -0.5917 (-0.5938) time: 0.3602 data: 0.0003
[11-27 05:55:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1251/1669] eta: 0:02:32 tlr: 6.9e-05 tnm: 0.52 Lm: 6.792 (6.813) Lt: 6.088 (6.116) Accm: 2.49 (2.53) Acct: 3.93 (3.97) proj_loss: -0.5917 (-0.5869) time: 0.3602 data: 0.0003
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.52 Lm: 6.779 (6.806) Lt: 6.037 (6.100) Accm: 2.67 (2.57) Acct: 4.06 (4.06) proj_loss: -0.5929 (-0.5890) time: 0.3630 data: 0.0017
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:10:14 (0.368 s / it)
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.52 Lm: 6.764 (6.764) Lt: 6.044 (6.058) Accm: 2.70 (2.73) Acct: 4.32 (4.35) proj_loss: -0.5966 (-0.6004) time: 0.3631 data: 0.0019
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.52 Lm: 6.785 (6.836) Lt: 6.131 (6.157) Accm: 2.42 (2.44) Acct: 3.84 (3.79) proj_loss: -0.6033 (-0.5990) time: 0.3630 data: 0.0017
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 258/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 0.52 Lm: 6.849 (6.820) Lt: 6.076 (6.098) Accm: 2.50 (2.56) Acct: 3.82 (4.02) proj_loss: -0.5838 (-0.5847) time: 0.3631 data: 0.0015
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:10:14 (0.368 s / it)
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:10:14 (0.368 s / it)
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 258/350] Total time: 0:10:14 (0.368 s / it)
[11-27 05:58:33] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.793 (6.793), Lt: 6.085 (6.085), Acc m&t: 2.67 4.21, Remain: 15:21:34, Finish: 2024-11-27 05:20
[11-27 05:58:33] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.793 (6.793), Lt: 6.085 (6.085), Acc m&t: 2.67 4.21, Remain: 15:21:46, Finish: 2024-11-27 05:20
[11-27 05:58:33] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.793 (6.793), Lt: 6.085 (6.085), Acc m&t: 2.67 4.21, Remain: 15:21:11, Finish: 2024-11-27 05:19
[11-27 05:58:33] (/home/user/VAR/train.py , line 276)=> [ep258] (training ) Lm: 6.793 (6.793), Lt: 6.085 (6.085), Acc m&t: 2.67 4.21, Remain: 15:21:37, Finish: 2024-11-27 05:20
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:09:37 tlr: 6.9e-05 tnm: 0.52 Lm: 6.756 (6.756) Lt: 6.028 (6.028) Accm: 2.75 (2.75) Acct: 4.42 (4.42) proj_loss: -0.5684 (-0.5684) time: 0.3460 data: 0.0003
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:09:43 tlr: 6.9e-05 tnm: 0.52 Lm: 6.827 (6.827) Lt: 6.154 (6.154) Accm: 2.38 (2.38) Acct: 3.56 (3.56) proj_loss: -0.5880 (-0.5880) time: 0.3496 data: 0.0004
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:09:44 tlr: 6.9e-05 tnm: 0.52 Lm: 6.880 (6.880) Lt: 6.230 (6.230) Accm: 2.53 (2.53) Acct: 3.84 (3.84) proj_loss: -0.5945 (-0.5945) time: 0.3503 data: 0.0004
[11-27 05:58:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 0/1669] eta: 0:09:45 tlr: 6.9e-05 tnm: 0.52 Lm: 6.722 (6.722) Lt: 6.004 (6.004) Accm: 2.67 (2.67) Acct: 4.08 (4.08) proj_loss: -0.5950 (-0.5950) time: 0.3510 data: 0.0004
[11-27 06:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:07:53 tlr: 6.9e-05 tnm: 0.52 Lm: 6.782 (6.782) Lt: 6.100 (6.100) Accm: 2.62 (2.62) Acct: 4.01 (4.01) proj_loss: -0.6018 (-0.6018) time: 0.3594 data: 0.0003
[11-27 06:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:07:53 tlr: 6.9e-05 tnm: 0.52 Lm: 6.815 (6.815) Lt: 6.097 (6.097) Accm: 2.75 (2.75) Acct: 4.41 (4.41) proj_loss: -0.5815 (-0.5815) time: 0.3594 data: 0.0003
[11-27 06:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:07:53 tlr: 6.9e-05 tnm: 0.52 Lm: 6.775 (6.775) Lt: 6.062 (6.062) Accm: 2.65 (2.65) Acct: 4.07 (4.07) proj_loss: -0.5982 (-0.5982) time: 0.3593 data: 0.0003
[11-27 06:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 417/1669] eta: 0:07:53 tlr: 6.9e-05 tnm: 0.52 Lm: 6.851 (6.851) Lt: 6.162 (6.162) Accm: 2.58 (2.58) Acct: 3.99 (3.99) proj_loss: -0.5985 (-0.5985) time: 0.3594 data: 0.0003
[11-27 06:03:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:05:14 tlr: 6.8e-05 tnm: 0.50 Lm: 6.822 (6.839) Lt: 6.094 (6.130) Accm: 2.62 (2.66) Acct: 4.13 (4.16) proj_loss: -0.5945 (-0.5953) time: 0.3993 data: 0.0003
[11-27 06:03:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:05:14 tlr: 6.8e-05 tnm: 0.50 Lm: 6.741 (6.768) Lt: 6.027 (6.076) Accm: 2.67 (2.70) Acct: 4.08 (4.17) proj_loss: -0.5950 (-0.5985) time: 0.3993 data: 0.0003
[11-27 06:03:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:05:14 tlr: 6.8e-05 tnm: 0.50 Lm: 6.826 (6.818) Lt: 6.125 (6.106) Accm: 2.75 (2.70) Acct: 4.39 (4.29) proj_loss: -0.5947 (-0.5913) time: 0.3993 data: 0.0002
[11-27 06:03:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [ 834/1669] eta: 0:05:14 tlr: 6.8e-05 tnm: 0.50 Lm: 6.827 (6.796) Lt: 6.154 (6.106) Accm: 2.56 (2.62) Acct: 3.86 (4.00) proj_loss: -0.6083 (-0.6029) time: 0.3993 data: 0.0003
[11-27 06:06:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:02:37 tlr: 6.8e-05 tnm: 0.54 Lm: 6.778 (6.780) Lt: 6.088 (6.085) Accm: 2.59 (2.62) Acct: 3.97 (4.02) proj_loss: -0.6059 (-0.6031) time: 0.3629 data: 0.0003
[11-27 06:06:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:02:37 tlr: 6.8e-05 tnm: 0.54 Lm: 6.850 (6.847) Lt: 6.145 (6.134) Accm: 2.68 (2.62) Acct: 4.22 (4.12) proj_loss: -0.5936 (-0.5916) time: 0.3629 data: 0.0003
[11-27 06:06:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:02:37 tlr: 6.8e-05 tnm: 0.54 Lm: 6.826 (6.837) Lt: 6.111 (6.130) Accm: 2.70 (2.69) Acct: 4.24 (4.21) proj_loss: -0.5985 (-0.5988) time: 0.3629 data: 0.0003
[11-27 06:06:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 259/350] [1251/1669] eta: 0:02:37 tlr: 6.8e-05 tnm: 0.54 Lm: 6.791 (6.789) Lt: 6.071 (6.086) Accm: 2.62 (2.66) Acct: 4.01 (4.08) proj_loss: -0.5935 (-0.5933) time: 0.3629 data: 0.0003
[11-27 06:08:58] (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: 6.747 (6.781) Lt: 6.027 (6.072) Accm: 2.67 (2.66) Acct: 4.05 (4.07) proj_loss: -0.5950 (-0.5964) time: 0.3614 data: 0.0021
[11-27 06:08:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:10:25 (0.375 s / it)
[11-27 06:08:58] (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: 6.822 (6.822) Lt: 6.094 (6.119) Accm: 2.78 (2.71) Acct: 4.13 (4.18) proj_loss: -0.5945 (-0.5963) time: 0.3614 data: 0.0014
[11-27 06:08:58] (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: 6.826 (6.798) Lt: 6.125 (6.068) Accm: 2.75 (2.80) Acct: 4.39 (4.48) proj_loss: -0.5947 (-0.5954) time: 0.3614 data: 0.0019
[11-27 06:08:58] (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: 6.827 (6.791) Lt: 6.149 (6.098) Accm: 2.62 (2.65) Acct: 4.08 (4.06) proj_loss: -0.6036 (-0.6030) time: 0.3614 data: 0.0021
[11-27 06:08:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:10:25 (0.375 s / it)
[11-27 06:08:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:10:25 (0.375 s / it)
[11-27 06:08:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 259/350] Total time: 0:10:25 (0.375 s / it)
[11-27 06:11:16] (home/user/VAR/trainer.py, line 114)=> FID: 4.186813449760621
[11-27 06:11:17] (/home/user/VAR/train.py , line 259)=> [*] [ep259] (val 50000) Lm: 6.7913, Lt: 6.0813, Acc m&t: 2.71 4.23, Val cost: 138.27s
[11-27 06:11:17] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-27 06:11:32] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.791 (6.791), Lt: 6.081 (6.081), Acc m&t: 2.71 4.23, Remain: 15:10:35, Finish: 2024-11-27 05:19
[11-27 06:11:32] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.791 (6.791), Lt: 6.081 (6.081), Acc m&t: 2.71 4.23, Remain: 15:09:38, Finish: 2024-11-27 05:18
[11-27 06:11:32] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.791 (6.791), Lt: 6.081 (6.081), Acc m&t: 2.71 4.23, Remain: 15:10:23, Finish: 2024-11-27 05:19
[11-27 06:11:32] (/home/user/VAR/train.py , line 276)=> [ep259] (training ) Lm: 6.791 (6.791), Lt: 6.081 (6.081), Acc m&t: 2.71 4.23, Remain: 15:10:19, Finish: 2024-11-27 05:19
[11-27 06:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:10:02 tlr: 6.8e-05 tnm: 0.58 Lm: 6.712 (6.712) Lt: 5.980 (5.980) Accm: 3.01 (3.01) Acct: 4.96 (4.96) proj_loss: -0.6092 (-0.6092) time: 0.3609 data: 0.0004
[11-27 06:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:10:03 tlr: 6.8e-05 tnm: 0.58 Lm: 6.724 (6.724) Lt: 6.056 (6.056) Accm: 2.99 (2.99) Acct: 4.70 (4.70) proj_loss: -0.6212 (-0.6212) time: 0.3614 data: 0.0004
[11-27 06:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:10:01 tlr: 6.8e-05 tnm: 0.58 Lm: 6.864 (6.864) Lt: 6.148 (6.148) Accm: 2.40 (2.40) Acct: 3.89 (3.89) proj_loss: -0.5873 (-0.5873) time: 0.3603 data: 0.0004
[11-27 06:11:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 0/1669] eta: 0:10:03 tlr: 6.8e-05 tnm: 0.58 Lm: 6.812 (6.812) Lt: 6.112 (6.112) Accm: 2.56 (2.56) Acct: 4.22 (4.22) proj_loss: -0.5970 (-0.5970) time: 0.3617 data: 0.0004
[11-27 06:14:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:07:33 tlr: 6.8e-05 tnm: 0.52 Lm: 6.783 (6.783) Lt: 6.056 (6.056) Accm: 2.74 (2.74) Acct: 4.26 (4.26) proj_loss: -0.5869 (-0.5869) time: 0.3618 data: 0.0003
[11-27 06:14:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:07:33 tlr: 6.8e-05 tnm: 0.52 Lm: 6.727 (6.727) Lt: 5.994 (5.994) Accm: 2.91 (2.91) Acct: 4.78 (4.78) proj_loss: -0.6008 (-0.6008) time: 0.3618 data: 0.0003
[11-27 06:14:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:07:33 tlr: 6.8e-05 tnm: 0.52 Lm: 6.678 (6.678) Lt: 5.978 (5.978) Accm: 3.08 (3.08) Acct: 4.98 (4.98) proj_loss: -0.5967 (-0.5967) time: 0.3618 data: 0.0003
[11-27 06:14:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 417/1669] eta: 0:07:33 tlr: 6.8e-05 tnm: 0.52 Lm: 6.882 (6.882) Lt: 6.197 (6.197) Accm: 2.39 (2.39) Acct: 3.79 (3.79) proj_loss: -0.6061 (-0.6061) time: 0.3619 data: 0.0003
[11-27 06:16:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:05:02 tlr: 6.8e-05 tnm: 0.51 Lm: 6.900 (6.896) Lt: 6.246 (6.232) Accm: 2.40 (2.43) Acct: 3.79 (3.79) proj_loss: -0.6074 (-0.6066) time: 0.3626 data: 0.0003
[11-27 06:16:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:05:02 tlr: 6.8e-05 tnm: 0.51 Lm: 6.742 (6.736) Lt: 6.008 (6.000) Accm: 2.81 (2.77) Acct: 4.60 (4.57) proj_loss: -0.5972 (-0.5996) time: 0.3626 data: 0.0003
[11-27 06:16:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:05:02 tlr: 6.8e-05 tnm: 0.51 Lm: 6.812 (6.826) Lt: 6.112 (6.110) Accm: 2.56 (2.63) Acct: 4.22 (4.13) proj_loss: -0.5970 (-0.5908) time: 0.3626 data: 0.0003
[11-27 06:16:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [ 834/1669] eta: 0:05:02 tlr: 6.8e-05 tnm: 0.51 Lm: 6.724 (6.710) Lt: 6.042 (6.000) Accm: 2.99 (3.05) Acct: 4.70 (4.86) proj_loss: -0.5816 (-0.5917) time: 0.3626 data: 0.0003
[11-27 06:19:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:02:31 tlr: 6.7e-05 tnm: 0.52 Lm: 6.733 (6.718) Lt: 6.036 (6.007) Accm: 2.98 (3.01) Acct: 4.65 (4.75) proj_loss: -0.5901 (-0.5934) time: 0.3634 data: 0.0003
[11-27 06:19:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:02:31 tlr: 6.7e-05 tnm: 0.52 Lm: 6.749 (6.778) Lt: 6.009 (6.045) Accm: 2.66 (2.59) Acct: 4.37 (4.30) proj_loss: -0.5947 (-0.5967) time: 0.3634 data: 0.0004
[11-27 06:19:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:02:31 tlr: 6.7e-05 tnm: 0.52 Lm: 6.889 (6.891) Lt: 6.229 (6.227) Accm: 2.39 (2.37) Acct: 3.74 (3.68) proj_loss: -0.6030 (-0.6046) time: 0.3634 data: 0.0002
[11-27 06:19:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1251/1669] eta: 0:02:31 tlr: 6.7e-05 tnm: 0.52 Lm: 6.783 (6.802) Lt: 6.058 (6.084) Accm: 2.62 (2.64) Acct: 4.22 (4.15) proj_loss: -0.5903 (-0.5890) time: 0.3634 data: 0.0002
[11-27 06:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.51 Lm: 6.812 (6.804) Lt: 6.112 (6.092) Accm: 2.68 (2.66) Acct: 4.22 (4.13) proj_loss: -0.5849 (-0.5882) time: 0.3656 data: 0.0016
[11-27 06:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:10:03 (0.362 s / it)
[11-27 06:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.51 Lm: 6.877 (6.833) Lt: 6.212 (6.149) Accm: 2.40 (2.53) Acct: 3.79 (3.95) proj_loss: -0.6002 (-0.6037) time: 0.3656 data: 0.0018
[11-27 06:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.51 Lm: 6.755 (6.790) Lt: 6.011 (6.050) Accm: 2.57 (2.59) Acct: 4.39 (4.32) proj_loss: -0.5923 (-0.5920) time: 0.3656 data: 0.0018
[11-27 06:21:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 260/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.51 Lm: 6.743 (6.736) Lt: 6.042 (6.023) Accm: 2.97 (2.88) Acct: 4.60 (4.52) proj_loss: -0.5861 (-0.5919) time: 0.3656 data: 0.0018
[11-27 06:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:10:03 (0.362 s / it)
[11-27 06:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:10:03 (0.362 s / it)
[11-27 06:21:36] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 260/350] Total time: 0:10:03 (0.362 s / it)
[11-27 06:21:36] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.791 (6.804), Lt: 6.081 (6.096), Acc m&t: 2.71 4.23, Remain: 15:05:05, Finish: 2024-11-27 05:26
[11-27 06:21:36] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.791 (6.804), Lt: 6.081 (6.096), Acc m&t: 2.71 4.23, Remain: 15:05:08, Finish: 2024-11-27 05:26
[11-27 06:21:36] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.791 (6.804), Lt: 6.081 (6.096), Acc m&t: 2.71 4.23, Remain: 15:05:33, Finish: 2024-11-27 05:27
[11-27 06:21:36] (/home/user/VAR/train.py , line 276)=> [ep260] (training ) Lm: 6.791 (6.804), Lt: 6.081 (6.096), Acc m&t: 2.71 4.23, Remain: 15:05:22, Finish: 2024-11-27 05:26
[11-27 06:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:10:00 tlr: 6.7e-05 tnm: 0.52 Lm: 6.724 (6.724) Lt: 6.030 (6.030) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: -0.5982 (-0.5982) time: 0.3597 data: 0.0004
[11-27 06:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:09:27 tlr: 6.7e-05 tnm: 0.52 Lm: 7.054 (7.054) Lt: 6.420 (6.420) Accm: 1.92 (1.92) Acct: 2.94 (2.94) proj_loss: -0.5942 (-0.5942) time: 0.3402 data: 0.0004
[11-27 06:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:09:27 tlr: 6.7e-05 tnm: 0.52 Lm: 6.795 (6.795) Lt: 6.077 (6.077) Accm: 2.63 (2.63) Acct: 4.06 (4.06) proj_loss: -0.5785 (-0.5785) time: 0.3402 data: 0.0003
[11-27 06:21:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 0/1669] eta: 0:09:29 tlr: 6.7e-05 tnm: 0.52 Lm: 6.776 (6.776) Lt: 6.090 (6.090) Accm: 2.78 (2.78) Acct: 4.39 (4.39) proj_loss: -0.5799 (-0.5799) time: 0.3410 data: 0.0004
[11-27 06:24:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:07:32 tlr: 6.7e-05 tnm: 0.52 Lm: 6.861 (6.861) Lt: 6.181 (6.181) Accm: 2.45 (2.45) Acct: 3.83 (3.83) proj_loss: -0.5886 (-0.5886) time: 0.3614 data: 0.0003
[11-27 06:24:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:07:32 tlr: 6.7e-05 tnm: 0.52 Lm: 6.860 (6.860) Lt: 6.190 (6.190) Accm: 2.46 (2.46) Acct: 3.83 (3.83) proj_loss: -0.6076 (-0.6076) time: 0.3614 data: 0.0003
[11-27 06:24:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:07:32 tlr: 6.7e-05 tnm: 0.52 Lm: 6.738 (6.738) Lt: 6.035 (6.035) Accm: 2.79 (2.79) Acct: 4.33 (4.33) proj_loss: -0.6056 (-0.6056) time: 0.3614 data: 0.0003
[11-27 06:24:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 417/1669] eta: 0:07:32 tlr: 6.7e-05 tnm: 0.52 Lm: 6.787 (6.787) Lt: 6.065 (6.065) Accm: 2.68 (2.68) Acct: 4.21 (4.21) proj_loss: -0.5936 (-0.5936) time: 0.3614 data: 0.0003
[11-27 06:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:05:05 tlr: 6.7e-05 tnm: 0.52 Lm: 6.778 (6.783) Lt: 6.053 (6.044) Accm: 2.63 (2.62) Acct: 4.06 (4.09) proj_loss: -0.5853 (-0.5909) time: 0.3613 data: 0.0003
[11-27 06:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:05:05 tlr: 6.7e-05 tnm: 0.52 Lm: 6.702 (6.807) Lt: 5.959 (6.110) Accm: 2.99 (2.69) Acct: 4.72 (4.25) proj_loss: -0.6185 (-0.6112) time: 0.3613 data: 0.0003
[11-27 06:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:05:05 tlr: 6.7e-05 tnm: 0.52 Lm: 6.776 (6.831) Lt: 6.090 (6.149) Accm: 2.78 (2.59) Acct: 4.39 (4.04) proj_loss: -0.5898 (-0.5890) time: 0.3613 data: 0.0003
[11-27 06:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [ 834/1669] eta: 0:05:05 tlr: 6.7e-05 tnm: 0.52 Lm: 6.752 (6.765) Lt: 6.040 (6.048) Accm: 2.67 (2.75) Acct: 4.41 (4.36) proj_loss: -0.5982 (-0.6005) time: 0.3613 data: 0.0003
[11-27 06:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:02:32 tlr: 6.7e-05 tnm: 0.51 Lm: 6.738 (6.750) Lt: 6.035 (6.030) Accm: 2.70 (2.74) Acct: 4.35 (4.34) proj_loss: -0.6009 (-0.6012) time: 0.3611 data: 0.0002
[11-27 06:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:02:32 tlr: 6.7e-05 tnm: 0.51 Lm: 6.717 (6.788) Lt: 5.977 (6.081) Accm: 2.94 (2.73) Acct: 4.54 (4.27) proj_loss: -0.6063 (-0.6062) time: 0.3611 data: 0.0002
[11-27 06:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:02:32 tlr: 6.7e-05 tnm: 0.51 Lm: 6.781 (6.783) Lt: 6.065 (6.060) Accm: 2.56 (2.56) Acct: 3.98 (4.04) proj_loss: -0.5914 (-0.5925) time: 0.3611 data: 0.0003
[11-27 06:29:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1251/1669] eta: 0:02:32 tlr: 6.7e-05 tnm: 0.51 Lm: 6.797 (6.828) Lt: 6.109 (6.144) Accm: 2.64 (2.57) Acct: 4.09 (3.98) proj_loss: -0.5936 (-0.5940) time: 0.3611 data: 0.0003
[11-27 06:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.51 Lm: 6.818 (6.836) Lt: 6.127 (6.145) Accm: 2.56 (2.57) Acct: 4.13 (4.01) proj_loss: -0.5973 (-0.5956) time: 0.3635 data: 0.0019
[11-27 06:31:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:10:17 (0.370 s / it)
[11-27 06:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.51 Lm: 6.731 (6.788) Lt: 5.994 (6.096) Accm: 2.88 (2.75) Acct: 4.36 (4.20) proj_loss: -0.6185 (-0.6090) time: 0.3636 data: 0.0019
[11-27 06:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.51 Lm: 6.752 (6.784) Lt: 6.040 (6.073) Accm: 2.67 (2.69) Acct: 4.29 (4.23) proj_loss: -0.5982 (-0.5985) time: 0.3636 data: 0.0016
[11-27 06:31:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 261/350] [1668/1669] eta: 0:00:00 tlr: 6.7e-05 tnm: 0.51 Lm: 6.778 (6.758) Lt: 6.053 (6.023) Accm: 2.63 (2.64) Acct: 4.06 (4.21) proj_loss: -0.5881 (-0.5916) time: 0.3635 data: 0.0016
[11-27 06:31:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:10:17 (0.370 s / it)
[11-27 06:31:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:10:18 (0.370 s / it)
[11-27 06:31:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 261/350] Total time: 0:10:17 (0.370 s / it)
[11-27 06:31:54] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.791 (6.799), Lt: 6.081 (6.090), Acc m&t: 2.71 4.23, Remain: 14:52:12, Finish: 2024-11-27 05:24
[11-27 06:31:54] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.791 (6.799), Lt: 6.081 (6.090), Acc m&t: 2.71 4.23, Remain: 14:52:26, Finish: 2024-11-27 05:24
[11-27 06:31:54] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.791 (6.799), Lt: 6.081 (6.090), Acc m&t: 2.71 4.23, Remain: 14:52:25, Finish: 2024-11-27 05:24
[11-27 06:31:54] (/home/user/VAR/train.py , line 276)=> [ep261] (training ) Lm: 6.791 (6.799), Lt: 6.081 (6.090), Acc m&t: 2.71 4.23, Remain: 14:52:25, Finish: 2024-11-27 05:24
[11-27 06:31:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:09:32 tlr: 6.7e-05 tnm: 0.52 Lm: 6.850 (6.850) Lt: 6.157 (6.157) Accm: 2.53 (2.53) Acct: 4.01 (4.01) proj_loss: -0.5912 (-0.5912) time: 0.3431 data: 0.0003
[11-27 06:31:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:09:34 tlr: 6.7e-05 tnm: 0.52 Lm: 6.734 (6.734) Lt: 5.973 (5.973) Accm: 2.80 (2.80) Acct: 4.49 (4.49) proj_loss: -0.5826 (-0.5826) time: 0.3444 data: 0.0004
[11-27 06:31:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:09:35 tlr: 6.7e-05 tnm: 0.52 Lm: 6.785 (6.785) Lt: 6.084 (6.084) Accm: 2.73 (2.73) Acct: 4.48 (4.48) proj_loss: -0.5977 (-0.5977) time: 0.3447 data: 0.0004
[11-27 06:31:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 0/1669] eta: 0:09:35 tlr: 6.7e-05 tnm: 0.52 Lm: 6.781 (6.781) Lt: 6.051 (6.051) Accm: 2.91 (2.91) Acct: 4.73 (4.73) proj_loss: -0.5769 (-0.5769) time: 0.3447 data: 0.0004
[11-27 06:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:07:52 tlr: 6.6e-05 tnm: 0.53 Lm: 6.742 (6.742) Lt: 5.969 (5.969) Accm: 2.98 (2.98) Acct: 4.79 (4.79) proj_loss: -0.5856 (-0.5856) time: 0.4092 data: 0.0003
[11-27 06:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:07:52 tlr: 6.6e-05 tnm: 0.53 Lm: 6.825 (6.825) Lt: 6.110 (6.110) Accm: 2.65 (2.65) Acct: 4.28 (4.28) proj_loss: -0.5972 (-0.5972) time: 0.4092 data: 0.0003
[11-27 06:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:07:52 tlr: 6.6e-05 tnm: 0.53 Lm: 6.811 (6.811) Lt: 6.110 (6.110) Accm: 2.70 (2.70) Acct: 4.12 (4.12) proj_loss: -0.6016 (-0.6016) time: 0.4092 data: 0.0003
[11-27 06:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 417/1669] eta: 0:07:52 tlr: 6.6e-05 tnm: 0.53 Lm: 6.743 (6.743) Lt: 5.983 (5.983) Accm: 2.74 (2.74) Acct: 4.39 (4.39) proj_loss: -0.5959 (-0.5959) time: 0.4092 data: 0.0003
[11-27 06:37:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:05:15 tlr: 6.6e-05 tnm: 0.52 Lm: 6.753 (6.803) Lt: 5.992 (6.054) Accm: 2.72 (2.73) Acct: 4.48 (4.42) proj_loss: -0.6052 (-0.5990) time: 0.3625 data: 0.0003
[11-27 06:37:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:05:15 tlr: 6.6e-05 tnm: 0.52 Lm: 6.738 (6.741) Lt: 5.986 (5.974) Accm: 2.91 (2.86) Acct: 4.73 (4.71) proj_loss: -0.5943 (-0.5888) time: 0.3625 data: 0.0003
[11-27 06:37:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:05:15 tlr: 6.6e-05 tnm: 0.52 Lm: 6.850 (6.858) Lt: 6.157 (6.167) Accm: 2.53 (2.60) Acct: 4.01 (4.03) proj_loss: -0.6119 (-0.6063) time: 0.3625 data: 0.0003
[11-27 06:37:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [ 834/1669] eta: 0:05:15 tlr: 6.6e-05 tnm: 0.52 Lm: 6.864 (6.843) Lt: 6.136 (6.140) Accm: 2.57 (2.52) Acct: 4.08 (4.05) proj_loss: -0.5977 (-0.5989) time: 0.3625 data: 0.0003
[11-27 06:39:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:02:36 tlr: 6.6e-05 tnm: 0.49 Lm: 6.837 (6.835) Lt: 6.129 (6.136) Accm: 2.58 (2.54) Acct: 4.09 (4.06) proj_loss: -0.6000 (-0.6004) time: 0.3597 data: 0.0003
[11-27 06:39:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:02:36 tlr: 6.6e-05 tnm: 0.49 Lm: 6.743 (6.782) Lt: 5.983 (6.020) Accm: 2.76 (2.78) Acct: 4.49 (4.47) proj_loss: -0.6017 (-0.5988) time: 0.3596 data: 0.0003
[11-27 06:39:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:02:36 tlr: 6.6e-05 tnm: 0.49 Lm: 6.877 (6.870) Lt: 6.189 (6.181) Accm: 2.57 (2.60) Acct: 4.12 (4.09) proj_loss: -0.6119 (-0.6076) time: 0.3596 data: 0.0003
[11-27 06:39:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1251/1669] eta: 0:02:36 tlr: 6.6e-05 tnm: 0.49 Lm: 6.759 (6.772) Lt: 6.018 (6.022) Accm: 2.76 (2.74) Acct: 4.64 (4.54) proj_loss: -0.5947 (-0.5959) time: 0.3596 data: 0.0003
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.54 Lm: 6.738 (6.745) Lt: 5.986 (5.989) Accm: 2.91 (2.82) Acct: 4.73 (4.61) proj_loss: -0.5943 (-0.5952) time: 0.3645 data: 0.0020
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:10:21 (0.372 s / it)
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.54 Lm: 6.850 (6.826) Lt: 6.157 (6.116) Accm: 2.60 (2.72) Acct: 4.24 (4.34) proj_loss: -0.6118 (-0.6029) time: 0.3645 data: 0.0014
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.54 Lm: 6.753 (6.793) Lt: 5.992 (6.042) Accm: 2.72 (2.75) Acct: 4.48 (4.44) proj_loss: -0.5982 (-0.5956) time: 0.3645 data: 0.0018
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 262/350] [1668/1669] eta: 0:00:00 tlr: 6.6e-05 tnm: 0.54 Lm: 6.810 (6.819) Lt: 6.122 (6.125) Accm: 2.59 (2.60) Acct: 4.10 (4.17) proj_loss: -0.5977 (-0.5991) time: 0.3645 data: 0.0017
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:10:21 (0.372 s / it)
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:10:21 (0.372 s / it)
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 262/350] Total time: 0:10:21 (0.372 s / it)
[11-27 06:42:16] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.791 (6.797), Lt: 6.080 (6.080), Acc m&t: 2.71 4.23, Remain: 14:43:35, Finish: 2024-11-27 05:25
[11-27 06:42:16] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.791 (6.797), Lt: 6.080 (6.080), Acc m&t: 2.71 4.23, Remain: 14:43:16, Finish: 2024-11-27 05:25
[11-27 06:42:16] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.791 (6.797), Lt: 6.080 (6.080), Acc m&t: 2.71 4.23, Remain: 14:43:36, Finish: 2024-11-27 05:25
[11-27 06:42:16] (/home/user/VAR/train.py , line 276)=> [ep262] (training ) Lm: 6.791 (6.797), Lt: 6.080 (6.080), Acc m&t: 2.71 4.23, Remain: 14:43:21, Finish: 2024-11-27 05:25
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:09:35 tlr: 6.6e-05 tnm: 0.50 Lm: 6.740 (6.740) Lt: 6.025 (6.025) Accm: 2.50 (2.50) Acct: 3.98 (3.98) proj_loss: -0.6060 (-0.6060) time: 0.3449 data: 0.0004
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:09:37 tlr: 6.6e-05 tnm: 0.50 Lm: 6.901 (6.901) Lt: 6.183 (6.183) Accm: 2.31 (2.31) Acct: 3.67 (3.67) proj_loss: -0.6077 (-0.6077) time: 0.3460 data: 0.0004
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:09:37 tlr: 6.6e-05 tnm: 0.50 Lm: 7.061 (7.061) Lt: 6.433 (6.433) Accm: 2.00 (2.00) Acct: 2.79 (2.79) proj_loss: -0.6115 (-0.6115) time: 0.3459 data: 0.0004
[11-27 06:42:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 0/1669] eta: 0:09:37 tlr: 6.6e-05 tnm: 0.50 Lm: 6.683 (6.683) Lt: 5.993 (5.993) Accm: 3.10 (3.10) Acct: 4.82 (4.82) proj_loss: -0.6026 (-0.6026) time: 0.3459 data: 0.0004
[11-27 06:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:07:32 tlr: 6.6e-05 tnm: 0.52 Lm: 6.766 (6.766) Lt: 6.085 (6.085) Accm: 2.73 (2.73) Acct: 4.16 (4.16) proj_loss: -0.6055 (-0.6055) time: 0.3602 data: 0.0003
[11-27 06:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:07:32 tlr: 6.6e-05 tnm: 0.52 Lm: 6.926 (6.926) Lt: 6.246 (6.246) Accm: 2.30 (2.30) Acct: 3.63 (3.63) proj_loss: -0.6072 (-0.6072) time: 0.3602 data: 0.0003
[11-27 06:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:07:32 tlr: 6.6e-05 tnm: 0.52 Lm: 6.803 (6.803) Lt: 6.084 (6.084) Accm: 2.53 (2.53) Acct: 3.93 (3.93) proj_loss: -0.5936 (-0.5936) time: 0.3602 data: 0.0003
[11-27 06:44:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 417/1669] eta: 0:07:32 tlr: 6.6e-05 tnm: 0.52 Lm: 6.783 (6.783) Lt: 6.066 (6.066) Accm: 2.66 (2.66) Acct: 4.06 (4.06) proj_loss: -0.6070 (-0.6070) time: 0.3603 data: 0.0002
[11-27 06:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:05:01 tlr: 6.5e-05 tnm: 0.54 Lm: 6.766 (6.777) Lt: 6.082 (6.071) Accm: 2.82 (2.71) Acct: 4.29 (4.14) proj_loss: -0.6064 (-0.6056) time: 0.3624 data: 0.0002
[11-27 06:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:05:01 tlr: 6.5e-05 tnm: 0.54 Lm: 6.773 (6.768) Lt: 5.993 (6.047) Accm: 3.02 (2.83) Acct: 4.82 (4.40) proj_loss: -0.6026 (-0.6035) time: 0.3624 data: 0.0002
[11-27 06:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:05:01 tlr: 6.5e-05 tnm: 0.54 Lm: 6.791 (6.877) Lt: 6.088 (6.194) Accm: 2.61 (2.45) Acct: 4.42 (3.90) proj_loss: -0.6115 (-0.6089) time: 0.3624 data: 0.0003
[11-27 06:47:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [ 834/1669] eta: 0:05:01 tlr: 6.5e-05 tnm: 0.54 Lm: 6.844 (6.817) Lt: 6.143 (6.120) Accm: 2.52 (2.53) Acct: 3.89 (3.86) proj_loss: -0.6050 (-0.5974) time: 0.3624 data: 0.0002
[11-27 06:49:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:02:31 tlr: 6.5e-05 tnm: 0.52 Lm: 6.792 (6.795) Lt: 6.084 (6.080) Accm: 2.54 (2.69) Acct: 3.93 (4.18) proj_loss: -0.6055 (-0.6016) time: 0.3601 data: 0.0002
[11-27 06:49:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:02:31 tlr: 6.5e-05 tnm: 0.52 Lm: 6.805 (6.794) Lt: 6.111 (6.089) Accm: 2.70 (2.68) Acct: 4.16 (4.11) proj_loss: -0.6045 (-0.6027) time: 0.3601 data: 0.0002
[11-27 06:49:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:02:31 tlr: 6.5e-05 tnm: 0.52 Lm: 6.864 (6.892) Lt: 6.187 (6.217) Accm: 2.51 (2.45) Acct: 4.07 (3.85) proj_loss: -0.6072 (-0.6065) time: 0.3601 data: 0.0003
[11-27 06:49:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1251/1669] eta: 0:02:31 tlr: 6.5e-05 tnm: 0.52 Lm: 6.811 (6.808) Lt: 6.085 (6.103) Accm: 2.69 (2.66) Acct: 4.16 (4.10) proj_loss: -0.6010 (-0.5978) time: 0.3601 data: 0.0003
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.51 Lm: 6.791 (6.864) Lt: 6.088 (6.176) Accm: 2.61 (2.50) Acct: 4.20 (3.92) proj_loss: -0.6029 (-0.6044) time: 0.3633 data: 0.0020
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.51 Lm: 6.844 (6.810) Lt: 6.143 (6.094) Accm: 2.52 (2.64) Acct: 3.94 (4.13) proj_loss: -0.6050 (-0.6004) time: 0.3633 data: 0.0015
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.51 Lm: 6.766 (6.786) Lt: 6.082 (6.068) Accm: 2.82 (2.73) Acct: 4.29 (4.20) proj_loss: -0.6027 (-0.6001) time: 0.3633 data: 0.0020
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 263/350] [1668/1669] eta: 0:00:00 tlr: 6.5e-05 tnm: 0.51 Lm: 6.773 (6.792) Lt: 6.003 (6.083) Accm: 3.02 (2.74) Acct: 4.82 (4.25) proj_loss: -0.6026 (-0.6000) time: 0.3633 data: 0.0015
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:10:03 (0.361 s / it)
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:10:03 (0.361 s / it)
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:10:03 (0.361 s / it)
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 263/350] Total time: 0:10:03 (0.361 s / it)
[11-27 06:52:19] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.791 (6.813), Lt: 6.080 (6.107), Acc m&t: 2.71 4.23, Remain: 14:27:47, Finish: 2024-11-27 05:20
[11-27 06:52:19] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.791 (6.813), Lt: 6.080 (6.107), Acc m&t: 2.71 4.23, Remain: 14:28:01, Finish: 2024-11-27 05:20
[11-27 06:52:19] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.791 (6.813), Lt: 6.080 (6.107), Acc m&t: 2.71 4.23, Remain: 14:27:44, Finish: 2024-11-27 05:20
[11-27 06:52:19] (/home/user/VAR/train.py , line 276)=> [ep263] (training ) Lm: 6.791 (6.813), Lt: 6.080 (6.107), Acc m&t: 2.71 4.23, Remain: 14:27:51, Finish: 2024-11-27 05:20
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:09:50 tlr: 6.5e-05 tnm: 0.49 Lm: 6.796 (6.796) Lt: 6.158 (6.158) Accm: 2.67 (2.67) Acct: 3.84 (3.84) proj_loss: -0.6074 (-0.6074) time: 0.3540 data: 0.0004
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:09:56 tlr: 6.5e-05 tnm: 0.49 Lm: 6.702 (6.702) Lt: 6.000 (6.000) Accm: 3.00 (3.00) Acct: 4.61 (4.61) proj_loss: -0.5763 (-0.5763) time: 0.3573 data: 0.0004
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:09:55 tlr: 6.5e-05 tnm: 0.49 Lm: 6.848 (6.848) Lt: 6.151 (6.151) Accm: 2.75 (2.75) Acct: 4.20 (4.20) proj_loss: -0.6038 (-0.6038) time: 0.3571 data: 0.0004
[11-27 06:52:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 0/1669] eta: 0:09:57 tlr: 6.5e-05 tnm: 0.49 Lm: 6.565 (6.565) Lt: 5.849 (5.849) Accm: 3.28 (3.28) Acct: 5.10 (5.10) proj_loss: -0.6207 (-0.6207) time: 0.3583 data: 0.0004
[11-27 06:54:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:07:32 tlr: 6.5e-05 tnm: 0.53 Lm: 6.697 (6.697) Lt: 5.962 (5.962) Accm: 2.96 (2.96) Acct: 4.59 (4.59) proj_loss: -0.6085 (-0.6085) time: 0.3638 data: 0.0003
[11-27 06:54:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:07:32 tlr: 6.5e-05 tnm: 0.53 Lm: 6.744 (6.744) Lt: 6.064 (6.064) Accm: 2.70 (2.70) Acct: 3.98 (3.98) proj_loss: -0.6148 (-0.6148) time: 0.3638 data: 0.0003
[11-27 06:54:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:07:32 tlr: 6.5e-05 tnm: 0.53 Lm: 6.800 (6.800) Lt: 6.140 (6.140) Accm: 2.69 (2.69) Acct: 4.04 (4.04) proj_loss: -0.6016 (-0.6016) time: 0.3638 data: 0.0003
[11-27 06:54:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 417/1669] eta: 0:07:32 tlr: 6.5e-05 tnm: 0.53 Lm: 6.831 (6.831) Lt: 6.163 (6.163) Accm: 2.60 (2.60) Acct: 3.98 (3.98) proj_loss: -0.5900 (-0.5900) time: 0.3638 data: 0.0003
[11-27 06:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:05:06 tlr: 6.5e-05 tnm: 0.52 Lm: 6.773 (6.812) Lt: 6.047 (6.125) Accm: 2.67 (2.62) Acct: 4.61 (4.19) proj_loss: -0.5986 (-0.5928) time: 0.3621 data: 0.0003
[11-27 06:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:05:06 tlr: 6.5e-05 tnm: 0.52 Lm: 6.830 (6.759) Lt: 6.076 (6.056) Accm: 2.65 (2.67) Acct: 4.08 (4.12) proj_loss: -0.5963 (-0.6034) time: 0.3621 data: 0.0003
[11-27 06:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:05:06 tlr: 6.5e-05 tnm: 0.52 Lm: 6.796 (6.777) Lt: 6.126 (6.085) Accm: 2.67 (2.65) Acct: 4.12 (4.02) proj_loss: -0.6074 (-0.6060) time: 0.3621 data: 0.0002
[11-27 06:57:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [ 834/1669] eta: 0:05:06 tlr: 6.5e-05 tnm: 0.52 Lm: 6.752 (6.778) Lt: 6.128 (6.090) Accm: 2.75 (2.72) Acct: 4.20 (4.18) proj_loss: -0.5993 (-0.6001) time: 0.3621 data: 0.0003
[11-27 07:00:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:02:34 tlr: 6.5e-05 tnm: 0.53 Lm: 6.743 (6.753) Lt: 6.060 (6.048) Accm: 2.77 (2.76) Acct: 4.33 (4.28) proj_loss: -0.5994 (-0.5999) time: 0.3619 data: 0.0003
[11-27 07:00:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:02:34 tlr: 6.5e-05 tnm: 0.53 Lm: 6.857 (6.795) Lt: 6.129 (6.088) Accm: 2.55 (2.61) Acct: 3.98 (4.06) proj_loss: -0.5947 (-0.5988) time: 0.3619 data: 0.0004
[11-27 07:00:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:02:34 tlr: 6.5e-05 tnm: 0.53 Lm: 6.758 (6.794) Lt: 6.037 (6.100) Accm: 2.76 (2.68) Acct: 4.54 (4.26) proj_loss: -0.6009 (-0.5954) time: 0.3619 data: 0.0003
[11-27 07:00:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1251/1669] eta: 0:02:34 tlr: 6.5e-05 tnm: 0.53 Lm: 6.770 (6.769) Lt: 6.091 (6.077) Accm: 2.70 (2.73) Acct: 4.12 (4.18) proj_loss: -0.5979 (-0.6013) time: 0.3619 data: 0.0003
[11-27 07:02:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.52 Lm: 6.745 (6.760) Lt: 6.056 (6.064) Accm: 2.72 (2.74) Acct: 4.12 (4.23) proj_loss: -0.5883 (-0.5955) time: 0.3620 data: 0.0017
[11-27 07:02:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:10:19 (0.371 s / it)
[11-27 07:02:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.52 Lm: 6.883 (6.817) Lt: 6.183 (6.123) Accm: 2.45 (2.56) Acct: 3.87 (3.96) proj_loss: -0.5963 (-0.6015) time: 0.3620 data: 0.0016
[11-27 07:02:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.52 Lm: 6.742 (6.783) Lt: 6.027 (6.084) Accm: 2.67 (2.68) Acct: 4.46 (4.26) proj_loss: -0.6009 (-0.5965) time: 0.3620 data: 0.0021
[11-27 07:02:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 264/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.52 Lm: 6.752 (6.765) Lt: 6.128 (6.064) Accm: 2.75 (2.71) Acct: 4.20 (4.23) proj_loss: -0.5994 (-0.6005) time: 0.3620 data: 0.0019
[11-27 07:02:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:10:19 (0.371 s / it)
[11-27 07:02:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:10:19 (0.371 s / it)
[11-27 07:02:38] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 264/350] Total time: 0:10:19 (0.371 s / it)
[11-27 07:02:39] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.791 (6.797), Lt: 6.080 (6.085), Acc m&t: 2.71 4.23, Remain: 14:19:14, Finish: 2024-11-27 05:21
[11-27 07:02:39] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.791 (6.797), Lt: 6.080 (6.085), Acc m&t: 2.71 4.23, Remain: 14:18:57, Finish: 2024-11-27 05:21
[11-27 07:02:39] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.791 (6.797), Lt: 6.080 (6.085), Acc m&t: 2.71 4.23, Remain: 14:18:54, Finish: 2024-11-27 05:21
[11-27 07:02:39] (/home/user/VAR/train.py , line 276)=> [ep264] (training ) Lm: 6.791 (6.797), Lt: 6.080 (6.085), Acc m&t: 2.71 4.23, Remain: 14:19:02, Finish: 2024-11-27 05:21
[11-27 07:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:09:51 tlr: 6.4e-05 tnm: 0.54 Lm: 6.760 (6.760) Lt: 6.019 (6.019) Accm: 2.98 (2.98) Acct: 4.58 (4.58) proj_loss: -0.6055 (-0.6055) time: 0.3542 data: 0.0004
[11-27 07:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:10:37 tlr: 6.4e-05 tnm: 0.54 Lm: 6.863 (6.863) Lt: 6.107 (6.107) Accm: 2.65 (2.65) Acct: 4.08 (4.08) proj_loss: -0.5766 (-0.5766) time: 0.3818 data: 0.0004
[11-27 07:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:09:50 tlr: 6.4e-05 tnm: 0.54 Lm: 6.868 (6.868) Lt: 6.169 (6.169) Accm: 2.27 (2.27) Acct: 3.55 (3.55) proj_loss: -0.5996 (-0.5996) time: 0.3538 data: 0.0003
[11-27 07:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 0/1669] eta: 0:09:52 tlr: 6.4e-05 tnm: 0.54 Lm: 6.795 (6.795) Lt: 6.090 (6.090) Accm: 2.68 (2.68) Acct: 4.01 (4.01) proj_loss: -0.6043 (-0.6043) time: 0.3552 data: 0.0004
[11-27 07:05:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:07:47 tlr: 6.4e-05 tnm: 0.52 Lm: 6.782 (6.782) Lt: 6.088 (6.088) Accm: 2.75 (2.75) Acct: 4.23 (4.23) proj_loss: -0.6026 (-0.6026) time: 0.4019 data: 0.0003
[11-27 07:05:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:07:47 tlr: 6.4e-05 tnm: 0.52 Lm: 6.884 (6.884) Lt: 6.167 (6.167) Accm: 2.47 (2.47) Acct: 3.75 (3.75) proj_loss: -0.5839 (-0.5839) time: 0.4019 data: 0.0003
[11-27 07:05:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:07:47 tlr: 6.4e-05 tnm: 0.52 Lm: 6.908 (6.908) Lt: 6.191 (6.191) Accm: 2.22 (2.22) Acct: 3.55 (3.55) proj_loss: -0.5928 (-0.5928) time: 0.4019 data: 0.0003
[11-27 07:05:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 417/1669] eta: 0:07:47 tlr: 6.4e-05 tnm: 0.52 Lm: 6.801 (6.801) Lt: 6.115 (6.115) Accm: 2.69 (2.69) Acct: 4.15 (4.15) proj_loss: -0.6094 (-0.6094) time: 0.4019 data: 0.0003
[11-27 07:07:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:05:14 tlr: 6.4e-05 tnm: 0.53 Lm: 6.802 (6.801) Lt: 6.096 (6.108) Accm: 2.80 (2.72) Acct: 4.32 (4.21) proj_loss: -0.6102 (-0.6097) time: 0.3609 data: 0.0003
[11-27 07:07:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:05:14 tlr: 6.4e-05 tnm: 0.53 Lm: 6.863 (6.826) Lt: 6.107 (6.117) Accm: 2.65 (2.58) Acct: 4.08 (4.01) proj_loss: -0.5885 (-0.5855) time: 0.3608 data: 0.0002
[11-27 07:07:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:05:14 tlr: 6.4e-05 tnm: 0.53 Lm: 6.768 (6.768) Lt: 6.086 (6.074) Accm: 2.81 (2.79) Acct: 4.10 (4.18) proj_loss: -0.6043 (-0.6044) time: 0.3608 data: 0.0003
[11-27 07:07:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [ 834/1669] eta: 0:05:14 tlr: 6.4e-05 tnm: 0.53 Lm: 6.868 (6.877) Lt: 6.169 (6.148) Accm: 2.27 (2.44) Acct: 3.55 (4.02) proj_loss: -0.5864 (-0.5907) time: 0.3609 data: 0.0003
[11-27 07:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:02:36 tlr: 6.4e-05 tnm: 0.54 Lm: 6.889 (6.885) Lt: 6.191 (6.164) Accm: 2.51 (2.52) Acct: 4.05 (4.15) proj_loss: -0.5930 (-0.5970) time: 0.3627 data: 0.0002
[11-27 07:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:02:36 tlr: 6.4e-05 tnm: 0.54 Lm: 6.781 (6.750) Lt: 6.057 (6.036) Accm: 2.89 (2.81) Acct: 4.45 (4.40) proj_loss: -0.6079 (-0.6066) time: 0.3627 data: 0.0002
[11-27 07:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:02:36 tlr: 6.4e-05 tnm: 0.54 Lm: 6.782 (6.815) Lt: 6.088 (6.120) Accm: 2.75 (2.64) Acct: 4.05 (3.94) proj_loss: -0.6026 (-0.6034) time: 0.3627 data: 0.0003
[11-27 07:10:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1251/1669] eta: 0:02:36 tlr: 6.4e-05 tnm: 0.54 Lm: 6.839 (6.823) Lt: 6.108 (6.115) Accm: 2.65 (2.60) Acct: 4.19 (4.08) proj_loss: -0.5899 (-0.5924) time: 0.3627 data: 0.0003
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.52 Lm: 6.819 (6.822) Lt: 6.107 (6.108) Accm: 2.64 (2.55) Acct: 4.08 (4.05) proj_loss: -0.5885 (-0.5912) time: 0.3613 data: 0.0016
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:10:20 (0.372 s / it)
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.52 Lm: 6.868 (6.851) Lt: 6.169 (6.129) Accm: 2.75 (2.57) Acct: 4.44 (4.21) proj_loss: -0.5898 (-0.5956) time: 0.3613 data: 0.0015
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.52 Lm: 6.760 (6.724) Lt: 6.019 (6.012) Accm: 2.98 (2.88) Acct: 4.58 (4.48) proj_loss: -0.6057 (-0.6064) time: 0.3613 data: 0.0020
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 265/350] [1668/1669] eta: 0:00:00 tlr: 6.4e-05 tnm: 0.52 Lm: 6.768 (6.803) Lt: 6.086 (6.098) Accm: 2.81 (2.68) Acct: 4.10 (4.03) proj_loss: -0.6008 (-0.5992) time: 0.3613 data: 0.0019
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:10:20 (0.372 s / it)
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:10:20 (0.372 s / it)
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 265/350] Total time: 0:10:20 (0.372 s / it)
[11-27 07:12:59] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.791 (6.800), Lt: 6.080 (6.086), Acc m&t: 2.71 4.23, Remain: 14:07:17, Finish: 2024-11-27 05:20
[11-27 07:12:59] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.791 (6.800), Lt: 6.080 (6.086), Acc m&t: 2.71 4.23, Remain: 14:07:49, Finish: 2024-11-27 05:20
[11-27 07:12:59] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.791 (6.800), Lt: 6.080 (6.086), Acc m&t: 2.71 4.23, Remain: 14:07:44, Finish: 2024-11-27 05:20
[11-27 07:12:59] (/home/user/VAR/train.py , line 276)=> [ep265] (training ) Lm: 6.791 (6.800), Lt: 6.080 (6.086), Acc m&t: 2.71 4.23, Remain: 14:07:54, Finish: 2024-11-27 05:20
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:09:50 tlr: 6.4e-05 tnm: 0.56 Lm: 6.909 (6.909) Lt: 6.195 (6.195) Accm: 2.42 (2.42) Acct: 3.87 (3.87) proj_loss: -0.6000 (-0.6000) time: 0.3539 data: 0.0004
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:09:42 tlr: 6.4e-05 tnm: 0.56 Lm: 6.757 (6.757) Lt: 6.056 (6.056) Accm: 2.65 (2.65) Acct: 4.05 (4.05) proj_loss: -0.6062 (-0.6062) time: 0.3491 data: 0.0004
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:09:41 tlr: 6.4e-05 tnm: 0.56 Lm: 6.882 (6.882) Lt: 6.203 (6.203) Accm: 2.35 (2.35) Acct: 3.68 (3.68) proj_loss: -0.5695 (-0.5695) time: 0.3485 data: 0.0004
[11-27 07:12:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 0/1669] eta: 0:09:51 tlr: 6.4e-05 tnm: 0.56 Lm: 6.665 (6.665) Lt: 5.949 (5.949) Accm: 2.76 (2.76) Acct: 4.25 (4.25) proj_loss: -0.6040 (-0.6040) time: 0.3545 data: 0.0004
[11-27 07:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:07:33 tlr: 6.3e-05 tnm: 0.52 Lm: 6.786 (6.786) Lt: 6.072 (6.072) Accm: 2.51 (2.51) Acct: 3.93 (3.93) proj_loss: -0.6046 (-0.6046) time: 0.3625 data: 0.0003
[11-27 07:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:07:33 tlr: 6.3e-05 tnm: 0.52 Lm: 6.860 (6.860) Lt: 6.132 (6.132) Accm: 2.54 (2.54) Acct: 4.11 (4.11) proj_loss: -0.6006 (-0.6006) time: 0.3624 data: 0.0003
[11-27 07:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:07:33 tlr: 6.3e-05 tnm: 0.52 Lm: 6.777 (6.777) Lt: 6.083 (6.083) Accm: 2.72 (2.72) Acct: 4.25 (4.25) proj_loss: -0.6001 (-0.6001) time: 0.3624 data: 0.0003
[11-27 07:15:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 417/1669] eta: 0:07:33 tlr: 6.3e-05 tnm: 0.52 Lm: 6.790 (6.790) Lt: 6.093 (6.093) Accm: 2.69 (2.69) Acct: 4.18 (4.18) proj_loss: -0.5819 (-0.5819) time: 0.3625 data: 0.0003
[11-27 07:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:05:01 tlr: 6.3e-05 tnm: 0.55 Lm: 6.791 (6.790) Lt: 6.060 (6.082) Accm: 2.75 (2.71) Acct: 4.39 (4.25) proj_loss: -0.5943 (-0.5890) time: 0.3625 data: 0.0003
[11-27 07:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:05:01 tlr: 6.3e-05 tnm: 0.55 Lm: 6.796 (6.830) Lt: 6.111 (6.146) Accm: 2.65 (2.57) Acct: 4.05 (3.98) proj_loss: -0.6062 (-0.6022) time: 0.3625 data: 0.0003
[11-27 07:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:05:01 tlr: 6.3e-05 tnm: 0.55 Lm: 6.909 (6.880) Lt: 6.165 (6.143) Accm: 2.43 (2.51) Acct: 3.87 (4.03) proj_loss: -0.6000 (-0.5969) time: 0.3624 data: 0.0002
[11-27 07:18:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [ 834/1669] eta: 0:05:01 tlr: 6.3e-05 tnm: 0.55 Lm: 6.882 (6.818) Lt: 6.190 (6.111) Accm: 2.40 (2.48) Acct: 3.67 (3.85) proj_loss: -0.6040 (-0.5998) time: 0.3625 data: 0.0003
[11-27 07:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:02:30 tlr: 6.3e-05 tnm: 0.53 Lm: 6.819 (6.803) Lt: 6.116 (6.094) Accm: 2.58 (2.59) Acct: 3.96 (4.08) proj_loss: -0.6046 (-0.6032) time: 0.3611 data: 0.0003
[11-27 07:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:02:30 tlr: 6.3e-05 tnm: 0.53 Lm: 6.860 (6.846) Lt: 6.117 (6.115) Accm: 2.55 (2.59) Acct: 4.08 (4.09) proj_loss: -0.6006 (-0.5986) time: 0.3611 data: 0.0003
[11-27 07:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:02:30 tlr: 6.3e-05 tnm: 0.53 Lm: 6.830 (6.839) Lt: 6.159 (6.161) Accm: 2.66 (2.59) Acct: 4.05 (4.00) proj_loss: -0.6064 (-0.6035) time: 0.3611 data: 0.0003
[11-27 07:20:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1251/1669] eta: 0:02:30 tlr: 6.3e-05 tnm: 0.53 Lm: 6.792 (6.791) Lt: 6.081 (6.087) Accm: 2.62 (2.66) Acct: 4.12 (4.15) proj_loss: -0.5943 (-0.5904) time: 0.3611 data: 0.0003
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.51 Lm: 6.792 (6.803) Lt: 6.101 (6.099) Accm: 2.50 (2.60) Acct: 3.89 (4.10) proj_loss: -0.5943 (-0.5913) time: 0.3648 data: 0.0013
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:10:02 (0.361 s / it)
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.51 Lm: 6.909 (6.862) Lt: 6.165 (6.133) Accm: 2.53 (2.58) Acct: 4.13 (4.10) proj_loss: -0.6000 (-0.5966) time: 0.3648 data: 0.0017
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.51 Lm: 6.796 (6.816) Lt: 6.111 (6.140) Accm: 2.67 (2.68) Acct: 4.05 (4.12) proj_loss: -0.6062 (-0.5983) time: 0.3648 data: 0.0017
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 266/350] [1668/1669] eta: 0:00:00 tlr: 6.3e-05 tnm: 0.51 Lm: 6.829 (6.808) Lt: 6.100 (6.095) Accm: 2.76 (2.64) Acct: 4.25 (4.16) proj_loss: -0.6040 (-0.6008) time: 0.3648 data: 0.0019
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:10:02 (0.361 s / it)
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:10:02 (0.361 s / it)
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 266/350] Total time: 0:10:02 (0.361 s / it)
[11-27 07:23:02] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.791 (6.803), Lt: 6.080 (6.096), Acc m&t: 2.71 4.23, Remain: 14:05:36, Finish: 2024-11-27 05:28
[11-27 07:23:02] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.791 (6.803), Lt: 6.080 (6.096), Acc m&t: 2.71 4.23, Remain: 14:05:27, Finish: 2024-11-27 05:28
[11-27 07:23:02] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.791 (6.803), Lt: 6.080 (6.096), Acc m&t: 2.71 4.23, Remain: 14:05:13, Finish: 2024-11-27 05:28
[11-27 07:23:02] (/home/user/VAR/train.py , line 276)=> [ep266] (training ) Lm: 6.791 (6.803), Lt: 6.080 (6.096), Acc m&t: 2.71 4.23, Remain: 14:05:38, Finish: 2024-11-27 05:28
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:09:48 tlr: 6.3e-05 tnm: 0.52 Lm: 6.821 (6.821) Lt: 6.162 (6.162) Accm: 2.70 (2.70) Acct: 4.32 (4.32) proj_loss: -0.6045 (-0.6045) time: 0.3527 data: 0.0003
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:09:43 tlr: 6.3e-05 tnm: 0.52 Lm: 6.922 (6.922) Lt: 6.188 (6.188) Accm: 2.29 (2.29) Acct: 3.46 (3.46) proj_loss: -0.5841 (-0.5841) time: 0.3496 data: 0.0004
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:09:44 tlr: 6.3e-05 tnm: 0.52 Lm: 6.828 (6.828) Lt: 6.100 (6.100) Accm: 2.64 (2.64) Acct: 4.17 (4.17) proj_loss: -0.5876 (-0.5876) time: 0.3503 data: 0.0004
[11-27 07:23:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 0/1669] eta: 0:09:44 tlr: 6.3e-05 tnm: 0.52 Lm: 6.914 (6.914) Lt: 6.223 (6.223) Accm: 2.19 (2.19) Acct: 3.65 (3.65) proj_loss: -0.5911 (-0.5911) time: 0.3501 data: 0.0004
[11-27 07:25:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:07:44 tlr: 6.3e-05 tnm: 0.54 Lm: 6.870 (6.870) Lt: 6.170 (6.170) Accm: 2.32 (2.32) Acct: 3.74 (3.74) proj_loss: -0.5949 (-0.5949) time: 0.4020 data: 0.0003
[11-27 07:25:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:07:44 tlr: 6.3e-05 tnm: 0.54 Lm: 6.881 (6.881) Lt: 6.139 (6.139) Accm: 2.61 (2.61) Acct: 4.01 (4.01) proj_loss: -0.5780 (-0.5780) time: 0.4020 data: 0.0003
[11-27 07:25:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:07:44 tlr: 6.3e-05 tnm: 0.54 Lm: 6.801 (6.801) Lt: 6.119 (6.119) Accm: 2.57 (2.57) Acct: 4.05 (4.05) proj_loss: -0.5980 (-0.5980) time: 0.4020 data: 0.0003
[11-27 07:25:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 417/1669] eta: 0:07:44 tlr: 6.3e-05 tnm: 0.54 Lm: 6.760 (6.760) Lt: 6.031 (6.031) Accm: 2.87 (2.87) Acct: 4.49 (4.49) proj_loss: -0.5938 (-0.5938) time: 0.4020 data: 0.0003
[11-27 07:28:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:05:08 tlr: 6.3e-05 tnm: 0.54 Lm: 6.693 (6.707) Lt: 5.961 (5.962) Accm: 3.10 (2.98) Acct: 4.80 (4.61) proj_loss: -0.6001 (-0.6000) time: 0.3601 data: 0.0003
[11-27 07:28:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:05:08 tlr: 6.3e-05 tnm: 0.54 Lm: 6.839 (6.833) Lt: 6.089 (6.102) Accm: 2.86 (2.69) Acct: 4.56 (4.22) proj_loss: -0.5841 (-0.5871) time: 0.3601 data: 0.0003
[11-27 07:28:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:05:08 tlr: 6.3e-05 tnm: 0.54 Lm: 6.827 (6.831) Lt: 6.117 (6.140) Accm: 2.45 (2.39) Acct: 3.82 (3.86) proj_loss: -0.5987 (-0.6006) time: 0.3601 data: 0.0003
[11-27 07:28:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [ 834/1669] eta: 0:05:08 tlr: 6.3e-05 tnm: 0.54 Lm: 6.821 (6.823) Lt: 6.141 (6.126) Accm: 2.44 (2.53) Acct: 3.79 (3.97) proj_loss: -0.5914 (-0.5949) time: 0.3601 data: 0.0003
[11-27 07:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:02:36 tlr: 6.2e-05 tnm: 0.54 Lm: 6.801 (6.806) Lt: 6.108 (6.100) Accm: 2.57 (2.60) Acct: 4.05 (4.12) proj_loss: -0.5901 (-0.5917) time: 0.4059 data: 0.0002
[11-27 07:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:02:36 tlr: 6.2e-05 tnm: 0.54 Lm: 6.788 (6.799) Lt: 6.059 (6.077) Accm: 2.88 (2.75) Acct: 4.45 (4.25) proj_loss: -0.5947 (-0.5920) time: 0.4059 data: 0.0003
[11-27 07:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:02:36 tlr: 6.2e-05 tnm: 0.54 Lm: 6.760 (6.740) Lt: 6.031 (6.021) Accm: 2.87 (2.85) Acct: 4.49 (4.46) proj_loss: -0.6012 (-0.6006) time: 0.4060 data: 0.0003
[11-27 07:30:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1251/1669] eta: 0:02:36 tlr: 6.2e-05 tnm: 0.54 Lm: 6.826 (6.830) Lt: 6.124 (6.138) Accm: 2.49 (2.44) Acct: 3.97 (3.93) proj_loss: -0.6053 (-0.6050) time: 0.4059 data: 0.0003
[11-27 07:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.53 Lm: 6.827 (6.844) Lt: 6.130 (6.153) Accm: 2.45 (2.42) Acct: 3.82 (3.87) proj_loss: -0.5987 (-0.6037) time: 0.4098 data: 0.0017
[11-27 07:33:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:10:22 (0.373 s / it)
[11-27 07:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.53 Lm: 6.779 (6.795) Lt: 6.050 (6.072) Accm: 2.86 (2.74) Acct: 4.41 (4.28) proj_loss: -0.6014 (-0.5939) time: 0.4098 data: 0.0016
[11-27 07:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.53 Lm: 6.821 (6.817) Lt: 6.141 (6.114) Accm: 2.53 (2.59) Acct: 3.93 (4.08) proj_loss: -0.5887 (-0.5891) time: 0.4098 data: 0.0015
[11-27 07:33:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 267/350] [1668/1669] eta: 0:00:00 tlr: 6.2e-05 tnm: 0.53 Lm: 6.772 (6.747) Lt: 6.063 (6.030) Accm: 2.75 (2.83) Acct: 4.29 (4.42) proj_loss: -0.6023 (-0.6015) time: 0.4098 data: 0.0016
[11-27 07:33:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:10:22 (0.373 s / it)
[11-27 07:33:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:10:22 (0.373 s / it)
[11-27 07:33:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 267/350] Total time: 0:10:22 (0.373 s / it)
[11-27 07:33:25] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.791 (6.796), Lt: 6.080 (6.086), Acc m&t: 2.71 4.23, Remain: 13:54:07, Finish: 2024-11-27 05:27
[11-27 07:33:25] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.791 (6.796), Lt: 6.080 (6.086), Acc m&t: 2.71 4.23, Remain: 13:54:13, Finish: 2024-11-27 05:27
[11-27 07:33:25] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.791 (6.796), Lt: 6.080 (6.086), Acc m&t: 2.71 4.23, Remain: 13:53:51, Finish: 2024-11-27 05:27
[11-27 07:33:25] (/home/user/VAR/train.py , line 276)=> [ep267] (training ) Lm: 6.791 (6.796), Lt: 6.080 (6.086), Acc m&t: 2.71 4.23, Remain: 13:53:52, Finish: 2024-11-27 05:27
[11-27 07:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:09:42 tlr: 6.2e-05 tnm: 0.53 Lm: 6.776 (6.776) Lt: 6.110 (6.110) Accm: 2.59 (2.59) Acct: 4.03 (4.03) proj_loss: -0.6161 (-0.6161) time: 0.3493 data: 0.0003
[11-27 07:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:09:43 tlr: 6.2e-05 tnm: 0.53 Lm: 6.725 (6.725) Lt: 5.998 (5.998) Accm: 2.48 (2.48) Acct: 4.01 (4.01) proj_loss: -0.6230 (-0.6230) time: 0.3498 data: 0.0004
[11-27 07:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:09:42 tlr: 6.2e-05 tnm: 0.53 Lm: 6.804 (6.804) Lt: 6.074 (6.074) Accm: 2.64 (2.64) Acct: 3.91 (3.91) proj_loss: -0.5925 (-0.5925) time: 0.3492 data: 0.0004
[11-27 07:33:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 0/1669] eta: 0:09:44 tlr: 6.2e-05 tnm: 0.53 Lm: 6.703 (6.703) Lt: 5.953 (5.953) Accm: 2.98 (2.98) Acct: 4.72 (4.72) proj_loss: -0.5958 (-0.5958) time: 0.3500 data: 0.0003
[11-27 07:36:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:07:54 tlr: 6.2e-05 tnm: 0.52 Lm: 6.771 (6.771) Lt: 6.058 (6.058) Accm: 2.82 (2.82) Acct: 4.49 (4.49) proj_loss: -0.5885 (-0.5885) time: 0.3596 data: 0.0002
[11-27 07:36:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:07:54 tlr: 6.2e-05 tnm: 0.52 Lm: 6.808 (6.808) Lt: 6.115 (6.115) Accm: 2.59 (2.59) Acct: 3.93 (3.93) proj_loss: -0.6044 (-0.6044) time: 0.3596 data: 0.0003
[11-27 07:36:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:07:54 tlr: 6.2e-05 tnm: 0.52 Lm: 6.740 (6.740) Lt: 5.994 (5.994) Accm: 2.62 (2.62) Acct: 4.19 (4.19) proj_loss: -0.6091 (-0.6091) time: 0.3596 data: 0.0003
[11-27 07:36:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 417/1669] eta: 0:07:54 tlr: 6.2e-05 tnm: 0.52 Lm: 6.846 (6.846) Lt: 6.102 (6.102) Accm: 2.52 (2.52) Acct: 3.87 (3.87) proj_loss: -0.5893 (-0.5893) time: 0.3596 data: 0.0002
[11-27 07:38:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:05:11 tlr: 6.2e-05 tnm: 0.55 Lm: 6.884 (6.858) Lt: 6.130 (6.124) Accm: 2.40 (2.45) Acct: 3.87 (3.87) proj_loss: -0.5918 (-0.5901) time: 0.3642 data: 0.0003
[11-27 07:38:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:05:11 tlr: 6.2e-05 tnm: 0.55 Lm: 6.776 (6.777) Lt: 6.110 (6.068) Accm: 2.59 (2.69) Acct: 4.03 (4.00) proj_loss: -0.5930 (-0.6006) time: 0.3642 data: 0.0002
[11-27 07:38:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:05:11 tlr: 6.2e-05 tnm: 0.55 Lm: 6.795 (6.779) Lt: 6.109 (6.075) Accm: 2.76 (2.80) Acct: 4.27 (4.41) proj_loss: -0.5813 (-0.5850) time: 0.3642 data: 0.0003
[11-27 07:38:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [ 834/1669] eta: 0:05:11 tlr: 6.2e-05 tnm: 0.55 Lm: 6.755 (6.760) Lt: 5.998 (6.030) Accm: 2.67 (2.64) Acct: 4.01 (4.13) proj_loss: -0.6066 (-0.6083) time: 0.3642 data: 0.0003
[11-27 07:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:02:35 tlr: 6.2e-05 tnm: 0.53 Lm: 6.770 (6.766) Lt: 6.039 (6.042) Accm: 2.66 (2.64) Acct: 4.13 (4.16) proj_loss: -0.6009 (-0.6018) time: 0.3631 data: 0.0003
[11-27 07:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:02:35 tlr: 6.2e-05 tnm: 0.53 Lm: 6.760 (6.769) Lt: 6.061 (6.054) Accm: 2.74 (2.76) Acct: 4.09 (4.19) proj_loss: -0.6019 (-0.6031) time: 0.3631 data: 0.0003
[11-27 07:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:02:35 tlr: 6.2e-05 tnm: 0.53 Lm: 6.772 (6.772) Lt: 6.073 (6.065) Accm: 2.81 (2.81) Acct: 4.26 (4.37) proj_loss: -0.5885 (-0.5893) time: 0.3631 data: 0.0003
[11-27 07:41:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1251/1669] eta: 0:02:35 tlr: 6.2e-05 tnm: 0.53 Lm: 6.845 (6.845) Lt: 6.130 (6.125) Accm: 2.52 (2.51) Acct: 3.89 (3.99) proj_loss: -0.5921 (-0.5924) time: 0.3630 data: 0.0003
[11-27 07:43:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.55 Lm: 6.818 (6.840) Lt: 6.130 (6.126) Accm: 2.45 (2.50) Acct: 3.87 (3.96) proj_loss: -0.5925 (-0.5952) time: 0.3656 data: 0.0019
[11-27 07:43:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:10:15 (0.369 s / it)
[11-27 07:43:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.55 Lm: 6.776 (6.779) Lt: 6.110 (6.072) Accm: 2.59 (2.70) Acct: 4.03 (4.13) proj_loss: -0.5933 (-0.6012) time: 0.3656 data: 0.0016
[11-27 07:43:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.55 Lm: 6.784 (6.771) Lt: 6.080 (6.052) Accm: 2.66 (2.64) Acct: 4.05 (4.14) proj_loss: -0.5959 (-0.6006) time: 0.3656 data: 0.0018
[11-27 07:43:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 268/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.55 Lm: 6.795 (6.778) Lt: 6.071 (6.067) Accm: 2.76 (2.76) Acct: 4.25 (4.29) proj_loss: -0.5906 (-0.5896) time: 0.3656 data: 0.0018
[11-27 07:43:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:10:15 (0.369 s / it)
[11-27 07:43:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:10:15 (0.369 s / it)
[11-27 07:43:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 268/350] Total time: 0:10:15 (0.369 s / it)
[11-27 07:43:40] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.788 (6.788), Lt: 6.076 (6.076), Acc m&t: 2.71 4.23, Remain: 13:46:53, Finish: 2024-11-27 05:30
[11-27 07:43:40] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.788 (6.788), Lt: 6.076 (6.076), Acc m&t: 2.71 4.23, Remain: 13:46:39, Finish: 2024-11-27 05:30
[11-27 07:43:40] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.788 (6.788), Lt: 6.076 (6.076), Acc m&t: 2.71 4.23, Remain: 13:46:23, Finish: 2024-11-27 05:30
[11-27 07:43:40] (/home/user/VAR/train.py , line 276)=> [ep268] (training ) Lm: 6.788 (6.788), Lt: 6.076 (6.076), Acc m&t: 2.71 4.23, Remain: 13:47:01, Finish: 2024-11-27 05:30
[11-27 07:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:09:46 tlr: 6.1e-05 tnm: 0.55 Lm: 6.849 (6.849) Lt: 6.156 (6.156) Accm: 2.80 (2.80) Acct: 4.30 (4.30) proj_loss: -0.5862 (-0.5862) time: 0.3513 data: 0.0004
[11-27 07:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:09:46 tlr: 6.1e-05 tnm: 0.55 Lm: 6.677 (6.677) Lt: 5.920 (5.920) Accm: 2.96 (2.96) Acct: 4.63 (4.63) proj_loss: -0.6107 (-0.6107) time: 0.3516 data: 0.0004
[11-27 07:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:09:47 tlr: 6.1e-05 tnm: 0.55 Lm: 6.850 (6.850) Lt: 6.158 (6.158) Accm: 2.72 (2.72) Acct: 4.20 (4.20) proj_loss: -0.5915 (-0.5915) time: 0.3521 data: 0.0004
[11-27 07:43:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 0/1669] eta: 0:09:49 tlr: 6.1e-05 tnm: 0.55 Lm: 6.874 (6.874) Lt: 6.171 (6.171) Accm: 2.37 (2.37) Acct: 3.65 (3.65) proj_loss: -0.5994 (-0.5994) time: 0.3529 data: 0.0003
[11-27 07:46:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:07:38 tlr: 6.1e-05 tnm: 0.54 Lm: 6.755 (6.755) Lt: 6.027 (6.027) Accm: 2.63 (2.63) Acct: 4.12 (4.12) proj_loss: -0.5970 (-0.5970) time: 0.3658 data: 0.0003
[11-27 07:46:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:07:38 tlr: 6.1e-05 tnm: 0.54 Lm: 6.708 (6.708) Lt: 5.955 (5.955) Accm: 2.83 (2.83) Acct: 4.41 (4.41) proj_loss: -0.6015 (-0.6015) time: 0.3658 data: 0.0003
[11-27 07:46:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:07:38 tlr: 6.1e-05 tnm: 0.54 Lm: 6.847 (6.847) Lt: 6.130 (6.130) Accm: 2.67 (2.67) Acct: 4.09 (4.09) proj_loss: -0.5860 (-0.5860) time: 0.3658 data: 0.0003
[11-27 07:46:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 417/1669] eta: 0:07:38 tlr: 6.1e-05 tnm: 0.54 Lm: 6.809 (6.809) Lt: 6.098 (6.098) Accm: 2.74 (2.74) Acct: 4.16 (4.16) proj_loss: -0.6013 (-0.6013) time: 0.3658 data: 0.0003
[11-27 07:48:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:05:04 tlr: 6.1e-05 tnm: 0.53 Lm: 6.796 (6.805) Lt: 6.097 (6.098) Accm: 2.76 (2.76) Acct: 4.20 (4.25) proj_loss: -0.6091 (-0.6039) time: 0.3612 data: 0.0003
[11-27 07:48:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:05:04 tlr: 6.1e-05 tnm: 0.53 Lm: 6.846 (6.774) Lt: 6.103 (6.072) Accm: 2.80 (2.80) Acct: 4.30 (4.32) proj_loss: -0.5862 (-0.5872) time: 0.3612 data: 0.0003
[11-27 07:48:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:05:04 tlr: 6.1e-05 tnm: 0.53 Lm: 6.637 (6.704) Lt: 5.884 (5.964) Accm: 2.90 (2.73) Acct: 4.58 (4.32) proj_loss: -0.5994 (-0.5985) time: 0.3611 data: 0.0003
[11-27 07:48:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [ 834/1669] eta: 0:05:04 tlr: 6.1e-05 tnm: 0.53 Lm: 6.677 (6.688) Lt: 5.950 (5.953) Accm: 2.96 (2.91) Acct: 4.63 (4.57) proj_loss: -0.6087 (-0.6039) time: 0.3612 data: 0.0003
[11-27 07:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:02:31 tlr: 6.1e-05 tnm: 0.52 Lm: 6.700 (6.697) Lt: 5.970 (5.974) Accm: 2.83 (2.86) Acct: 4.48 (4.51) proj_loss: -0.6097 (-0.6059) time: 0.3633 data: 0.0003
[11-27 07:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:02:31 tlr: 6.1e-05 tnm: 0.52 Lm: 6.704 (6.721) Lt: 5.998 (6.001) Accm: 2.75 (2.70) Acct: 4.25 (4.22) proj_loss: -0.6005 (-0.6050) time: 0.3633 data: 0.0003
[11-27 07:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:02:31 tlr: 6.1e-05 tnm: 0.52 Lm: 6.782 (6.766) Lt: 6.068 (6.047) Accm: 2.78 (2.77) Acct: 4.23 (4.25) proj_loss: -0.6003 (-0.5997) time: 0.3633 data: 0.0003
[11-27 07:51:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1251/1669] eta: 0:02:31 tlr: 6.1e-05 tnm: 0.52 Lm: 6.738 (6.738) Lt: 6.031 (6.029) Accm: 2.86 (2.83) Acct: 4.30 (4.32) proj_loss: -0.5878 (-0.5894) time: 0.3632 data: 0.0003
[11-27 07:53:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.53 Lm: 6.846 (6.761) Lt: 6.103 (6.060) Accm: 2.80 (2.76) Acct: 4.30 (4.27) proj_loss: -0.5894 (-0.5919) time: 0.3606 data: 0.0018
[11-27 07:53:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:10:05 (0.363 s / it)
[11-27 07:53:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.53 Lm: 6.723 (6.748) Lt: 5.990 (6.046) Accm: 2.71 (2.69) Acct: 4.32 (4.26) proj_loss: -0.6087 (-0.6052) time: 0.3606 data: 0.0020
[11-27 07:53:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.53 Lm: 6.746 (6.726) Lt: 6.051 (6.011) Accm: 2.79 (2.72) Acct: 4.32 (4.24) proj_loss: -0.6015 (-0.6055) time: 0.3606 data: 0.0022
[11-27 07:53:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 269/350] [1668/1669] eta: 0:00:00 tlr: 6.1e-05 tnm: 0.53 Lm: 6.767 (6.753) Lt: 6.039 (6.042) Accm: 2.80 (2.83) Acct: 4.25 (4.40) proj_loss: -0.5915 (-0.5977) time: 0.3606 data: 0.0018
[11-27 07:53:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:10:05 (0.363 s / it)
[11-27 07:53:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:10:05 (0.363 s / it)
[11-27 07:53:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 269/350] Total time: 0:10:05 (0.363 s / it)
[11-27 07:56:05] (home/user/VAR/trainer.py, line 114)=> FID: 4.021905530525828
[11-27 07:56:06] (/home/user/VAR/train.py , line 259)=> [*] [ep269] (val 50000) Lm: 6.8066, Lt: 6.0997, Acc m&t: 2.65 4.17, Val cost: 138.90s
[11-27 07:56:06] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-fix-entropy-var-d16-fix-entropy/ar-ckpt-last.pth
[11-27 07:56:21] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.788 (6.807), Lt: 6.076 (6.100), Acc m&t: 2.71 4.23, Remain: 13:24:28, Finish: 2024-11-27 05:18
[11-27 07:56:21] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.788 (6.807), Lt: 6.076 (6.100), Acc m&t: 2.71 4.23, Remain: 13:25:21, Finish: 2024-11-27 05:19
[11-27 07:56:21] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.788 (6.807), Lt: 6.076 (6.100), Acc m&t: 2.71 4.23, Remain: 13:25:11, Finish: 2024-11-27 05:18
[11-27 07:56:21] (/home/user/VAR/train.py , line 276)=> [ep269] (training ) Lm: 6.788 (6.807), Lt: 6.076 (6.100), Acc m&t: 2.71 4.23, Remain: 13:25:16, Finish: 2024-11-27 05:19
[11-27 07:56:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:10:06 tlr: 6.1e-05 tnm: 0.54 Lm: 6.739 (6.739) Lt: 6.058 (6.058) Accm: 3.10 (3.10) Acct: 4.84 (4.84) proj_loss: -0.5990 (-0.5990) time: 0.3636 data: 0.0003
[11-27 07:56:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:10:03 tlr: 6.1e-05 tnm: 0.54 Lm: 6.877 (6.877) Lt: 6.171 (6.171) Accm: 2.69 (2.69) Acct: 4.36 (4.36) proj_loss: -0.5878 (-0.5878) time: 0.3617 data: 0.0004
[11-27 07:56:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:10:06 tlr: 6.1e-05 tnm: 0.54 Lm: 6.623 (6.623) Lt: 5.916 (5.916) Accm: 3.26 (3.26) Acct: 4.94 (4.94) proj_loss: -0.6004 (-0.6004) time: 0.3632 data: 0.0004
[11-27 07:56:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 0/1669] eta: 0:10:07 tlr: 6.1e-05 tnm: 0.54 Lm: 6.916 (6.916) Lt: 6.226 (6.226) Accm: 2.32 (2.32) Acct: 3.74 (3.74) proj_loss: -0.5908 (-0.5908) time: 0.3639 data: 0.0004
[11-27 07:58:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:07:50 tlr: 6.1e-05 tnm: 0.54 Lm: 6.786 (6.786) Lt: 6.052 (6.052) Accm: 2.55 (2.55) Acct: 3.99 (3.99) proj_loss: -0.5829 (-0.5829) time: 0.3618 data: 0.0003
[11-27 07:58:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:07:50 tlr: 6.1e-05 tnm: 0.54 Lm: 6.757 (6.757) Lt: 6.069 (6.069) Accm: 2.85 (2.85) Acct: 4.34 (4.34) proj_loss: -0.5955 (-0.5955) time: 0.3617 data: 0.0003
[11-27 07:58:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:07:50 tlr: 6.1e-05 tnm: 0.54 Lm: 6.810 (6.810) Lt: 6.125 (6.125) Accm: 2.74 (2.74) Acct: 4.28 (4.28) proj_loss: -0.5990 (-0.5990) time: 0.3617 data: 0.0002
[11-27 07:58:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 417/1669] eta: 0:07:50 tlr: 6.1e-05 tnm: 0.54 Lm: 6.803 (6.803) Lt: 6.063 (6.063) Accm: 2.89 (2.89) Acct: 4.60 (4.60) proj_loss: -0.5826 (-0.5826) time: 0.3618 data: 0.0003
[11-27 08:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:05:14 tlr: 6e-05 tnm: 0.53 Lm: 6.729 (6.767) Lt: 5.980 (6.035) Accm: 2.88 (2.89) Acct: 4.72 (4.64) proj_loss: -0.5878 (-0.5878) time: 0.3612 data: 0.0003
[11-27 08:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:05:14 tlr: 6e-05 tnm: 0.53 Lm: 6.775 (6.790) Lt: 6.080 (6.088) Accm: 2.60 (2.71) Acct: 3.84 (4.13) proj_loss: -0.5990 (-0.6024) time: 0.3612 data: 0.0003
[11-27 08:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:05:14 tlr: 6e-05 tnm: 0.53 Lm: 6.830 (6.800) Lt: 6.019 (6.041) Accm: 2.78 (2.64) Acct: 4.25 (4.24) proj_loss: -0.5908 (-0.5900) time: 0.3612 data: 0.0003
[11-27 08:01:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [ 834/1669] eta: 0:05:14 tlr: 6e-05 tnm: 0.53 Lm: 6.832 (6.818) Lt: 6.037 (6.096) Accm: 2.60 (2.70) Acct: 4.44 (4.33) proj_loss: -0.5975 (-0.5879) time: 0.3612 data: 0.0003
[11-27 08:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:02:36 tlr: 6e-05 tnm: 0.52 Lm: 6.754 (6.782) Lt: 5.976 (6.048) Accm: 2.93 (2.85) Acct: 4.69 (4.67) proj_loss: -0.5896 (-0.5864) time: 0.3639 data: 0.0003
[11-27 08:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:02:36 tlr: 6e-05 tnm: 0.52 Lm: 6.803 (6.800) Lt: 6.075 (6.069) Accm: 2.78 (2.75) Acct: 4.54 (4.40) proj_loss: -0.5836 (-0.5857) time: 0.3639 data: 0.0003
[11-27 08:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:02:36 tlr: 6e-05 tnm: 0.52 Lm: 6.758 (6.772) Lt: 5.995 (6.024) Accm: 2.79 (2.69) Acct: 4.42 (4.33) proj_loss: -0.5856 (-0.5876) time: 0.3639 data: 0.0003
[11-27 08:04:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1251/1669] eta: 0:02:36 tlr: 6e-05 tnm: 0.52 Lm: 6.757 (6.764) Lt: 6.069 (6.055) Accm: 2.73 (2.75) Acct: 4.18 (4.23) proj_loss: -0.6015 (-0.6028) time: 0.3639 data: 0.0002
[11-27 08:06:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.55 Lm: 6.775 (6.804) Lt: 6.080 (6.097) Accm: 2.60 (2.67) Acct: 3.91 (4.17) proj_loss: -0.5990 (-0.6002) time: 0.3622 data: 0.0020
[11-27 08:06:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:10:24 (0.374 s / it)
[11-27 08:06:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.55 Lm: 6.813 (6.803) Lt: 6.095 (6.074) Accm: 2.72 (2.74) Acct: 4.36 (4.37) proj_loss: -0.5793 (-0.5826) time: 0.3622 data: 0.0017
[11-27 08:06:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.55 Lm: 6.830 (6.797) Lt: 6.019 (6.057) Accm: 2.78 (2.62) Acct: 4.25 (4.27) proj_loss: -0.5908 (-0.5885) time: 0.3622 data: 0.0016
[11-27 08:06:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 270/350] [1668/1669] eta: 0:00:00 tlr: 6e-05 tnm: 0.55 Lm: 6.832 (6.799) Lt: 6.037 (6.070) Accm: 2.67 (2.82) Acct: 4.44 (4.61) proj_loss: -0.5975 (-0.5914) time: 0.3622 data: 0.0018
[11-27 08:06:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:10:24 (0.374 s / it)
[11-27 08:06:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:10:24 (0.374 s / it)
[11-27 08:06:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 270/350] Total time: 0:10:24 (0.374 s / it)
[11-27 08:06:45] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.788 (6.792), Lt: 6.076 (6.084), Acc m&t: 2.71 4.24, Remain: 13:20:34, Finish: 2024-11-27 05:27
[11-27 08:06:45] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.788 (6.792), Lt: 6.076 (6.084), Acc m&t: 2.71 4.24, Remain: 13:20:19, Finish: 2024-11-27 05:27
[11-27 08:06:45] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.788 (6.792), Lt: 6.076 (6.084), Acc m&t: 2.71 4.24, Remain: 13:20:30, Finish: 2024-11-27 05:27
[11-27 08:06:45] (/home/user/VAR/train.py , line 276)=> [ep270] (training ) Lm: 6.788 (6.792), Lt: 6.076 (6.084), Acc m&t: 2.71 4.24, Remain: 13:20:59, Finish: 2024-11-27 05:27
[11-27 08:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:10:22 tlr: 6e-05 tnm: 0.55 Lm: 6.841 (6.841) Lt: 6.118 (6.118) Accm: 2.49 (2.49) Acct: 3.86 (3.86) proj_loss: -0.6034 (-0.6034) time: 0.3731 data: 0.0004
[11-27 08:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:09:41 tlr: 6e-05 tnm: 0.55 Lm: 6.695 (6.695) Lt: 5.993 (5.993) Accm: 2.67 (2.67) Acct: 4.17 (4.17) proj_loss: -0.5917 (-0.5917) time: 0.3484 data: 0.0004
[11-27 08:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:09:41 tlr: 6e-05 tnm: 0.55 Lm: 6.798 (6.798) Lt: 6.034 (6.034) Accm: 2.78 (2.78) Acct: 4.72 (4.72) proj_loss: -0.5877 (-0.5877) time: 0.3486 data: 0.0003
[11-27 08:06:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 0/1669] eta: 0:09:42 tlr: 6e-05 tnm: 0.55 Lm: 6.866 (6.866) Lt: 6.148 (6.148) Accm: 2.60 (2.60) Acct: 3.77 (3.77) proj_loss: -0.5715 (-0.5715) time: 0.3488 data: 0.0004
[11-27 08:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:07:59 tlr: 6e-05 tnm: 0.53 Lm: 6.808 (6.808) Lt: 6.063 (6.063) Accm: 2.58 (2.58) Acct: 3.92 (3.92) proj_loss: -0.5735 (-0.5735) time: 0.3998 data: 0.0003
[11-27 08:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:07:59 tlr: 6e-05 tnm: 0.53 Lm: 6.813 (6.813) Lt: 6.114 (6.114) Accm: 2.47 (2.47) Acct: 3.92 (3.92) proj_loss: -0.5986 (-0.5986) time: 0.3998 data: 0.0002
[11-27 08:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:07:59 tlr: 6e-05 tnm: 0.53 Lm: 6.848 (6.848) Lt: 6.129 (6.129) Accm: 2.58 (2.58) Acct: 4.18 (4.18) proj_loss: -0.5898 (-0.5898) time: 0.3998 data: 0.0002
[11-27 08:09:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 417/1669] eta: 0:07:59 tlr: 6e-05 tnm: 0.53 Lm: 6.713 (6.713) Lt: 5.961 (5.961) Accm: 2.93 (2.93) Acct: 4.73 (4.73) proj_loss: -0.6027 (-0.6027) time: 0.3998 data: 0.0003
[11-27 08:11:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:05:12 tlr: 6e-05 tnm: 0.53 Lm: 6.697 (6.708) Lt: 5.998 (5.973) Accm: 2.96 (2.94) Acct: 4.36 (4.60) proj_loss: -0.6022 (-0.6026) time: 0.3608 data: 0.0003
[11-27 08:11:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:05:12 tlr: 6e-05 tnm: 0.53 Lm: 6.828 (6.814) Lt: 6.087 (6.071) Accm: 2.60 (2.64) Acct: 4.06 (4.09) proj_loss: -0.5754 (-0.5808) time: 0.3608 data: 0.0003
[11-27 08:11:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:05:12 tlr: 6e-05 tnm: 0.53 Lm: 6.930 (6.863) Lt: 6.234 (6.175) Accm: 2.27 (2.34) Acct: 3.67 (3.66) proj_loss: -0.5917 (-0.5949) time: 0.3608 data: 0.0003
[11-27 08:11:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [ 834/1669] eta: 0:05:12 tlr: 6e-05 tnm: 0.53 Lm: 6.801 (6.833) Lt: 6.127 (6.129) Accm: 2.78 (2.70) Acct: 4.39 (4.25) proj_loss: -0.5919 (-0.6003) time: 0.3608 data: 0.0003
[11-27 08:14:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:02:35 tlr: 5.9e-05 tnm: 0.53 Lm: 6.810 (6.829) Lt: 6.130 (6.130) Accm: 2.80 (2.74) Acct: 4.45 (4.31) proj_loss: -0.5977 (-0.6011) time: 0.3612 data: 0.0003
[11-27 08:14:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:02:35 tlr: 5.9e-05 tnm: 0.53 Lm: 6.819 (6.824) Lt: 6.122 (6.134) Accm: 2.47 (2.46) Acct: 3.92 (3.84) proj_loss: -0.5937 (-0.5951) time: 0.3611 data: 0.0003
[11-27 08:14:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:02:35 tlr: 5.9e-05 tnm: 0.53 Lm: 6.817 (6.812) Lt: 6.086 (6.075) Accm: 2.58 (2.60) Acct: 3.99 (4.05) proj_loss: -0.5813 (-0.5824) time: 0.3611 data: 0.0003
[11-27 08:14:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1251/1669] eta: 0:02:35 tlr: 5.9e-05 tnm: 0.53 Lm: 6.687 (6.700) Lt: 5.948 (5.954) Accm: 2.93 (2.93) Acct: 4.64 (4.68) proj_loss: -0.6022 (-0.6020) time: 0.3611 data: 0.0003
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.53 Lm: 6.697 (6.733) Lt: 5.998 (5.995) Accm: 2.89 (2.83) Acct: 4.36 (4.52) proj_loss: -0.6021 (-0.5983) time: 0.3654 data: 0.0013
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:10:15 (0.369 s / it)
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.53 Lm: 6.787 (6.817) Lt: 6.095 (6.126) Accm: 2.67 (2.50) Acct: 4.17 (3.91) proj_loss: -0.5957 (-0.5984) time: 0.3654 data: 0.0017
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.53 Lm: 6.818 (6.830) Lt: 6.127 (6.118) Accm: 2.78 (2.74) Acct: 4.51 (4.41) proj_loss: -0.5919 (-0.5950) time: 0.3654 data: 0.0016
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 271/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.53 Lm: 6.806 (6.782) Lt: 6.085 (6.035) Accm: 2.60 (2.72) Acct: 4.06 (4.27) proj_loss: -0.5754 (-0.5800) time: 0.3654 data: 0.0015
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:10:15 (0.369 s / it)
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:10:15 (0.369 s / it)
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 271/350] Total time: 0:10:15 (0.369 s / it)
[11-27 08:17:01] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.788 (6.790), Lt: 6.076 (6.077), Acc m&t: 2.71 4.24, Remain: 13:11:45, Finish: 2024-11-27 05:28
[11-27 08:17:01] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.788 (6.790), Lt: 6.076 (6.077), Acc m&t: 2.71 4.24, Remain: 13:11:49, Finish: 2024-11-27 05:28
[11-27 08:17:01] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.788 (6.790), Lt: 6.076 (6.077), Acc m&t: 2.71 4.24, Remain: 13:11:34, Finish: 2024-11-27 05:28
[11-27 08:17:01] (/home/user/VAR/train.py , line 276)=> [ep271] (training ) Lm: 6.788 (6.790), Lt: 6.076 (6.077), Acc m&t: 2.71 4.24, Remain: 13:11:59, Finish: 2024-11-27 05:29
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:09:35 tlr: 5.9e-05 tnm: 0.55 Lm: 6.853 (6.853) Lt: 6.161 (6.161) Accm: 2.82 (2.82) Acct: 4.41 (4.41) proj_loss: -0.6275 (-0.6275) time: 0.3445 data: 0.0004
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:09:36 tlr: 5.9e-05 tnm: 0.55 Lm: 6.620 (6.620) Lt: 5.915 (5.915) Accm: 3.01 (3.01) Acct: 4.55 (4.55) proj_loss: -0.6071 (-0.6071) time: 0.3452 data: 0.0004
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:09:36 tlr: 5.9e-05 tnm: 0.55 Lm: 6.657 (6.657) Lt: 5.838 (5.838) Accm: 3.05 (3.05) Acct: 5.11 (5.11) proj_loss: -0.5939 (-0.5939) time: 0.3455 data: 0.0003
[11-27 08:17:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 0/1669] eta: 0:09:36 tlr: 5.9e-05 tnm: 0.55 Lm: 6.828 (6.828) Lt: 6.131 (6.131) Accm: 2.67 (2.67) Acct: 4.18 (4.18) proj_loss: -0.6140 (-0.6140) time: 0.3456 data: 0.0003
[11-27 08:19:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:07:33 tlr: 5.9e-05 tnm: 0.55 Lm: 6.805 (6.805) Lt: 6.113 (6.113) Accm: 2.83 (2.83) Acct: 4.49 (4.49) proj_loss: -0.6091 (-0.6091) time: 0.3631 data: 0.0003
[11-27 08:19:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:07:33 tlr: 5.9e-05 tnm: 0.55 Lm: 6.764 (6.764) Lt: 6.026 (6.026) Accm: 2.74 (2.74) Acct: 4.44 (4.44) proj_loss: -0.5939 (-0.5939) time: 0.3631 data: 0.0003
[11-27 08:19:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:07:33 tlr: 5.9e-05 tnm: 0.55 Lm: 6.700 (6.700) Lt: 5.969 (5.969) Accm: 2.90 (2.90) Acct: 4.37 (4.37) proj_loss: -0.6048 (-0.6048) time: 0.3631 data: 0.0003
[11-27 08:19:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 417/1669] eta: 0:07:33 tlr: 5.9e-05 tnm: 0.55 Lm: 6.813 (6.813) Lt: 6.084 (6.084) Accm: 2.76 (2.76) Acct: 4.28 (4.28) proj_loss: -0.6039 (-0.6039) time: 0.3631 data: 0.0003
[11-27 08:22:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:05:03 tlr: 5.9e-05 tnm: 0.52 Lm: 6.853 (6.831) Lt: 6.142 (6.103) Accm: 2.71 (2.65) Acct: 4.15 (4.16) proj_loss: -0.6040 (-0.6039) time: 0.3607 data: 0.0003
[11-27 08:22:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:05:03 tlr: 5.9e-05 tnm: 0.52 Lm: 6.796 (6.774) Lt: 6.095 (6.049) Accm: 2.56 (2.68) Acct: 4.12 (4.33) proj_loss: -0.5939 (-0.5991) time: 0.3607 data: 0.0003
[11-27 08:22:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:05:03 tlr: 5.9e-05 tnm: 0.52 Lm: 6.828 (6.834) Lt: 6.131 (6.137) Accm: 2.67 (2.73) Acct: 4.18 (4.33) proj_loss: -0.6042 (-0.5969) time: 0.3607 data: 0.0003
[11-27 08:22:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [ 834/1669] eta: 0:05:03 tlr: 5.9e-05 tnm: 0.52 Lm: 6.668 (6.690) Lt: 5.989 (5.976) Accm: 2.99 (2.93) Acct: 4.55 (4.47) proj_loss: -0.6071 (-0.6076) time: 0.3608 data: 0.0003
[11-27 08:24:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:02:31 tlr: 5.9e-05 tnm: 0.55 Lm: 6.725 (6.718) Lt: 6.006 (6.004) Accm: 2.89 (2.86) Acct: 4.37 (4.36) proj_loss: -0.6091 (-0.6085) time: 0.3622 data: 0.0002
[11-27 08:24:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:02:31 tlr: 5.9e-05 tnm: 0.55 Lm: 6.849 (6.834) Lt: 6.120 (6.102) Accm: 2.67 (2.64) Acct: 4.11 (4.13) proj_loss: -0.5986 (-0.6012) time: 0.3622 data: 0.0003
[11-27 08:24:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:02:31 tlr: 5.9e-05 tnm: 0.55 Lm: 6.804 (6.784) Lt: 6.098 (6.062) Accm: 2.72 (2.73) Acct: 4.24 (4.34) proj_loss: -0.5991 (-0.6004) time: 0.3622 data: 0.0003
[11-27 08:24:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1251/1669] eta: 0:02:31 tlr: 5.9e-05 tnm: 0.55 Lm: 6.805 (6.803) Lt: 6.113 (6.094) Accm: 2.71 (2.74) Acct: 4.30 (4.35) proj_loss: -0.5964 (-0.5948) time: 0.3622 data: 0.0003
[11-27 08:27:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.54 Lm: 6.828 (6.819) Lt: 6.131 (6.109) Accm: 2.67 (2.68) Acct: 4.18 (4.24) proj_loss: -0.6001 (-0.5958) time: 0.3644 data: 0.0020
[11-27 08:27:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:10:08 (0.364 s / it)
[11-27 08:27:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.54 Lm: 6.796 (6.783) Lt: 6.095 (6.057) Accm: 2.58 (2.70) Acct: 4.12 (4.27) proj_loss: -0.5939 (-0.5980) time: 0.3644 data: 0.0019
[11-27 08:27:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.54 Lm: 6.845 (6.822) Lt: 6.104 (6.102) Accm: 2.64 (2.63) Acct: 4.06 (4.08) proj_loss: -0.5945 (-0.5999) time: 0.3644 data: 0.0020
[11-27 08:27:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 272/350] [1668/1669] eta: 0:00:00 tlr: 5.9e-05 tnm: 0.54 Lm: 6.781 (6.739) Lt: 6.023 (6.019) Accm: 2.79 (2.82) Acct: 4.29 (4.35) proj_loss: -0.6071 (-0.5991) time: 0.3644 data: 0.0019
[11-27 08:27:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:10:08 (0.364 s / it)
[11-27 08:27:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:10:08 (0.364 s / it)
[11-27 08:27:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 272/350] Total time: 0:10:08 (0.364 s / it)
[11-27 08:27:09] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.787 (6.787), Lt: 6.075 (6.075), Acc m&t: 2.71 4.24, Remain: 13:02:17, Finish: 2024-11-27 05:29
[11-27 08:27:09] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.787 (6.787), Lt: 6.075 (6.075), Acc m&t: 2.71 4.24, Remain: 13:03:15, Finish: 2024-11-27 05:30
[11-27 08:27:09] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.787 (6.787), Lt: 6.075 (6.075), Acc m&t: 2.71 4.24, Remain: 13:02:43, Finish: 2024-11-27 05:29
[11-27 08:27:09] (/home/user/VAR/train.py , line 276)=> [ep272] (training ) Lm: 6.787 (6.787), Lt: 6.075 (6.075), Acc m&t: 2.71 4.24, Remain: 13:02:49, Finish: 2024-11-27 05:29
[11-27 08:27:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:09:32 tlr: 5.9e-05 tnm: 0.53 Lm: 6.791 (6.791) Lt: 6.110 (6.110) Accm: 2.50 (2.50) Acct: 3.96 (3.96) proj_loss: -0.6170 (-0.6170) time: 0.3432 data: 0.0003
[11-27 08:27:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:09:33 tlr: 5.9e-05 tnm: 0.53 Lm: 6.796 (6.796) Lt: 6.096 (6.096) Accm: 2.79 (2.79) Acct: 4.67 (4.67) proj_loss: -0.5877 (-0.5877) time: 0.3437 data: 0.0004
[11-27 08:27:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:09:34 tlr: 5.9e-05 tnm: 0.53 Lm: 6.760 (6.760) Lt: 6.035 (6.035) Accm: 2.87 (2.87) Acct: 4.60 (4.60) proj_loss: -0.5753 (-0.5753) time: 0.3443 data: 0.0003
[11-27 08:27:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 0/1669] eta: 0:09:34 tlr: 5.9e-05 tnm: 0.53 Lm: 6.717 (6.717) Lt: 5.993 (5.993) Accm: 2.93 (2.93) Acct: 4.48 (4.48) proj_loss: -0.6074 (-0.6074) time: 0.3441 data: 0.0004
[11-27 08:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:07:44 tlr: 5.8e-05 tnm: 0.53 Lm: 6.717 (6.717) Lt: 6.002 (6.002) Accm: 3.02 (3.02) Acct: 4.53 (4.53) proj_loss: -0.6051 (-0.6051) time: 0.3614 data: 0.0003
[11-27 08:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:07:44 tlr: 5.8e-05 tnm: 0.53 Lm: 6.808 (6.808) Lt: 6.136 (6.136) Accm: 2.58 (2.58) Acct: 4.23 (4.23) proj_loss: -0.5944 (-0.5944) time: 0.3614 data: 0.0003
[11-27 08:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:07:44 tlr: 5.8e-05 tnm: 0.53 Lm: 6.793 (6.793) Lt: 6.108 (6.108) Accm: 2.59 (2.59) Acct: 4.05 (4.05) proj_loss: -0.6023 (-0.6023) time: 0.3614 data: 0.0003
[11-27 08:29:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 417/1669] eta: 0:07:44 tlr: 5.8e-05 tnm: 0.53 Lm: 6.828 (6.828) Lt: 6.130 (6.130) Accm: 2.66 (2.66) Acct: 4.15 (4.15) proj_loss: -0.5932 (-0.5932) time: 0.3614 data: 0.0003
[11-27 08:32:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:05:14 tlr: 5.8e-05 tnm: 0.53 Lm: 6.760 (6.780) Lt: 6.035 (6.064) Accm: 2.87 (2.79) Acct: 4.60 (4.34) proj_loss: -0.5957 (-0.5940) time: 0.4475 data: 0.0003
[11-27 08:32:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:05:14 tlr: 5.8e-05 tnm: 0.53 Lm: 6.796 (6.731) Lt: 6.096 (6.050) Accm: 2.79 (2.84) Acct: 4.67 (4.41) proj_loss: -0.6012 (-0.6001) time: 0.4475 data: 0.0003
[11-27 08:32:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:05:14 tlr: 5.8e-05 tnm: 0.53 Lm: 6.791 (6.732) Lt: 6.105 (6.025) Accm: 2.69 (2.79) Acct: 4.13 (4.32) proj_loss: -0.6005 (-0.6017) time: 0.4475 data: 0.0003
[11-27 08:32:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [ 834/1669] eta: 0:05:14 tlr: 5.8e-05 tnm: 0.53 Lm: 6.716 (6.701) Lt: 5.993 (5.994) Accm: 3.11 (3.06) Acct: 4.58 (4.60) proj_loss: -0.6074 (-0.6070) time: 0.4475 data: 0.0003
[11-27 08:34:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:02:36 tlr: 5.8e-05 tnm: 0.53 Lm: 6.717 (6.721) Lt: 6.002 (6.001) Accm: 3.02 (2.95) Acct: 4.53 (4.54) proj_loss: -0.6051 (-0.6030) time: 0.3641 data: 0.0003
[11-27 08:34:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:02:36 tlr: 5.8e-05 tnm: 0.53 Lm: 6.793 (6.769) Lt: 6.108 (6.069) Accm: 2.59 (2.70) Acct: 4.05 (4.21) proj_loss: -0.6003 (-0.6013) time: 0.3641 data: 0.0003
[11-27 08:34:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:02:36 tlr: 5.8e-05 tnm: 0.53 Lm: 6.784 (6.787) Lt: 6.054 (6.066) Accm: 2.75 (2.75) Acct: 4.44 (4.33) proj_loss: -0.5988 (-0.5960) time: 0.3641 data: 0.0003
[11-27 08:34:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1251/1669] eta: 0:02:36 tlr: 5.8e-05 tnm: 0.53 Lm: 6.808 (6.766) Lt: 6.094 (6.061) Accm: 2.69 (2.78) Acct: 4.52 (4.40) proj_loss: -0.5944 (-0.5964) time: 0.3641 data: 0.0003
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.54 Lm: 6.820 (6.786) Lt: 6.096 (6.087) Accm: 2.59 (2.72) Acct: 4.37 (4.30) proj_loss: -0.6012 (-0.5973) time: 0.3646 data: 0.0018
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:10:27 (0.376 s / it)
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.54 Lm: 6.808 (6.793) Lt: 6.074 (6.082) Accm: 2.70 (2.74) Acct: 4.29 (4.30) proj_loss: -0.5957 (-0.5951) time: 0.3646 data: 0.0019
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.54 Lm: 6.717 (6.753) Lt: 6.011 (6.037) Accm: 2.93 (2.85) Acct: 4.48 (4.36) proj_loss: -0.6028 (-0.6018) time: 0.3646 data: 0.0019
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 273/350] [1668/1669] eta: 0:00:00 tlr: 5.8e-05 tnm: 0.54 Lm: 6.795 (6.789) Lt: 6.110 (6.082) Accm: 2.51 (2.67) Acct: 4.13 (4.20) proj_loss: -0.6001 (-0.5985) time: 0.3646 data: 0.0015
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:10:27 (0.376 s / it)
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:10:27 (0.376 s / it)
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 273/350] Total time: 0:10:27 (0.376 s / it)
[11-27 08:37:37] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.787 (6.789), Lt: 6.075 (6.078), Acc m&t: 2.71 4.25, Remain: 12:52:08, Finish: 2024-11-27 05:29
[11-27 08:37:37] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.787 (6.789), Lt: 6.075 (6.078), Acc m&t: 2.71 4.25, Remain: 12:52:02, Finish: 2024-11-27 05:29
[11-27 08:37:37] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.787 (6.789), Lt: 6.075 (6.078), Acc m&t: 2.71 4.25, Remain: 12:52:25, Finish: 2024-11-27 05:30
[11-27 08:37:37] (/home/user/VAR/train.py , line 276)=> [ep273] (training ) Lm: 6.787 (6.789), Lt: 6.075 (6.078), Acc m&t: 2.71 4.25, Remain: 12:52:20, Finish: 2024-11-27 05:29
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:09:37 tlr: 5.8e-05 tnm: 0.55 Lm: 6.785 (6.785) Lt: 6.089 (6.089) Accm: 2.83 (2.83) Acct: 4.13 (4.13) proj_loss: -0.6054 (-0.6054) time: 0.3462 data: 0.0004
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:09:36 tlr: 5.8e-05 tnm: 0.55 Lm: 6.891 (6.891) Lt: 6.239 (6.239) Accm: 2.48 (2.48) Acct: 4.13 (4.13) proj_loss: -0.6044 (-0.6044) time: 0.3453 data: 0.0004
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:09:38 tlr: 5.8e-05 tnm: 0.55 Lm: 6.666 (6.666) Lt: 5.939 (5.939) Accm: 3.07 (3.07) Acct: 4.84 (4.84) proj_loss: -0.6047 (-0.6047) time: 0.3465 data: 0.0004
[11-27 08:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 0/1669] eta: 0:09:38 tlr: 5.8e-05 tnm: 0.55 Lm: 6.918 (6.918) Lt: 6.227 (6.227) Accm: 2.48 (2.48) Acct: 3.77 (3.77) proj_loss: -0.5879 (-0.5879) time: 0.3465 data: 0.0003
[11-27 08:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:07:38 tlr: 5.8e-05 tnm: 0.54 Lm: 6.836 (6.836) Lt: 6.157 (6.157) Accm: 2.54 (2.54) Acct: 3.89 (3.89) proj_loss: -0.5941 (-0.5941) time: 0.3596 data: 0.0003
[11-27 08:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:07:38 tlr: 5.8e-05 tnm: 0.54 Lm: 6.819 (6.819) Lt: 6.136 (6.136) Accm: 2.61 (2.61) Acct: 4.18 (4.18) proj_loss: -0.6014 (-0.6014) time: 0.3596 data: 0.0003
[11-27 08:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:07:38 tlr: 5.8e-05 tnm: 0.54 Lm: 6.803 (6.803) Lt: 6.097 (6.097) Accm: 2.74 (2.74) Acct: 4.17 (4.17) proj_loss: -0.6043 (-0.6043) time: 0.3596 data: 0.0003
[11-27 08:40:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 417/1669] eta: 0:07:38 tlr: 5.8e-05 tnm: 0.54 Lm: 6.743 (6.743) Lt: 6.059 (6.059) Accm: 2.86 (2.86) Acct: 4.45 (4.45) proj_loss: -0.6067 (-0.6067) time: 0.3596 data: 0.0003
[11-27 08:42:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:05:06 tlr: 5.7e-05 tnm: 0.53 Lm: 6.687 (6.724) Lt: 5.983 (6.033) Accm: 2.94 (2.88) Acct: 4.79 (4.56) proj_loss: -0.6047 (-0.6012) time: 0.3642 data: 0.0003
[11-27 08:42:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:05:06 tlr: 5.7e-05 tnm: 0.53 Lm: 6.821 (6.810) Lt: 6.106 (6.105) Accm: 2.65 (2.67) Acct: 4.13 (4.03) proj_loss: -0.6033 (-0.6015) time: 0.3642 data: 0.0003
[11-27 08:42:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:05:06 tlr: 5.7e-05 tnm: 0.53 Lm: 6.837 (6.836) Lt: 6.153 (6.156) Accm: 2.60 (2.62) Acct: 4.01 (4.01) proj_loss: -0.6003 (-0.6009) time: 0.3642 data: 0.0003
[11-27 08:42:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [ 834/1669] eta: 0:05:06 tlr: 5.7e-05 tnm: 0.53 Lm: 6.842 (6.826) Lt: 6.120 (6.131) Accm: 2.74 (2.67) Acct: 4.15 (4.17) proj_loss: -0.6044 (-0.6044) time: 0.3642 data: 0.0003
[11-27 08:45:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:02:32 tlr: 5.7e-05 tnm: 0.54 Lm: 6.832 (6.825) Lt: 6.129 (6.132) Accm: 2.72 (2.68) Acct: 4.19 (4.20) proj_loss: -0.6014 (-0.6003) time: 0.3629 data: 0.0003
[11-27 08:45:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:02:32 tlr: 5.7e-05 tnm: 0.54 Lm: 6.803 (6.799) Lt: 6.097 (6.088) Accm: 2.66 (2.67) Acct: 4.12 (4.05) proj_loss: -0.5995 (-0.6000) time: 0.3629 data: 0.0003
[11-27 08:45:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:02:32 tlr: 5.7e-05 tnm: 0.54 Lm: 6.738 (6.740) Lt: 6.025 (6.042) Accm: 2.86 (2.86) Acct: 4.57 (4.51) proj_loss: -0.5986 (-0.5991) time: 0.3629 data: 0.0003
[11-27 08:45:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1251/1669] eta: 0:02:32 tlr: 5.7e-05 tnm: 0.54 Lm: 6.836 (6.836) Lt: 6.128 (6.143) Accm: 2.56 (2.59) Acct: 3.95 (3.98) proj_loss: -0.5958 (-0.5985) time: 0.3629 data: 0.0003
[11-27 08:47:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.59 Lm: 6.837 (6.865) Lt: 6.153 (6.169) Accm: 2.52 (2.54) Acct: 3.89 (3.92) proj_loss: -0.5959 (-0.5980) time: 0.3627 data: 0.0022
[11-27 08:47:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:10:08 (0.364 s / it)
[11-27 08:47:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.59 Lm: 6.821 (6.818) Lt: 6.106 (6.117) Accm: 2.66 (2.68) Acct: 4.10 (4.05) proj_loss: -0.5958 (-0.5984) time: 0.3627 data: 0.0019
[11-27 08:47:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.59 Lm: 6.749 (6.742) Lt: 6.025 (6.038) Accm: 2.94 (2.88) Acct: 4.68 (4.55) proj_loss: -0.5993 (-0.5991) time: 0.3627 data: 0.0018
[11-27 08:47:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 274/350] [1668/1669] eta: 0:00:00 tlr: 5.7e-05 tnm: 0.59 Lm: 6.842 (6.861) Lt: 6.138 (6.170) Accm: 2.70 (2.56) Acct: 4.15 (4.00) proj_loss: -0.5984 (-0.5998) time: 0.3626 data: 0.0014
[11-27 08:47:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:10:08 (0.364 s / it)
[11-27 08:47:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:10:08 (0.364 s / it)
[11-27 08:47:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 274/350] Total time: 0:10:08 (0.364 s / it)
[11-27 08:47:45] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.785 (6.785), Lt: 6.075 (6.076), Acc m&t: 2.71 4.25, Remain: 12:40:11, Finish: 2024-11-27 05:27
[11-27 08:47:45] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.785 (6.785), Lt: 6.075 (6.076), Acc m&t: 2.71 4.25, Remain: 12:41:19, Finish: 2024-11-27 05:29
[11-27 08:47:45] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.785 (6.785), Lt: 6.075 (6.076), Acc m&t: 2.71 4.25, Remain: 12:41:18, Finish: 2024-11-27 05:29
[11-27 08:47:45] (/home/user/VAR/train.py , line 276)=> [ep274] (training ) Lm: 6.785 (6.785), Lt: 6.075 (6.076), Acc m&t: 2.71 4.25, Remain: 12:41:15, Finish: 2024-11-27 05:29
[11-27 08:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:09:51 tlr: 5.7e-05 tnm: 0.55 Lm: 6.855 (6.855) Lt: 6.114 (6.114) Accm: 2.67 (2.67) Acct: 3.99 (3.99) proj_loss: -0.6090 (-0.6090) time: 0.3546 data: 0.0003
[11-27 08:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:09:50 tlr: 5.7e-05 tnm: 0.55 Lm: 6.749 (6.749) Lt: 6.005 (6.005) Accm: 2.67 (2.67) Acct: 4.36 (4.36) proj_loss: -0.6050 (-0.6050) time: 0.3539 data: 0.0004
[11-27 08:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:09:49 tlr: 5.7e-05 tnm: 0.55 Lm: 6.868 (6.868) Lt: 6.175 (6.175) Accm: 2.49 (2.49) Acct: 3.70 (3.70) proj_loss: -0.5826 (-0.5826) time: 0.3535 data: 0.0004
[11-27 08:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 0/1669] eta: 0:09:51 tlr: 5.7e-05 tnm: 0.55 Lm: 6.796 (6.796) Lt: 6.065 (6.065) Accm: 2.72 (2.72) Acct: 4.17 (4.17) proj_loss: -0.5928 (-0.5928) time: 0.3547 data: 0.0004
[11-27 08:50:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:07:33 tlr: 5.7e-05 tnm: 0.54 Lm: 6.814 (6.814) Lt: 6.088 (6.088) Accm: 2.58 (2.58) Acct: 4.06 (4.06) proj_loss: -0.6045 (-0.6045) time: 0.3612 data: 0.0003
[11-27 08:50:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:07:33 tlr: 5.7e-05 tnm: 0.54 Lm: 6.786 (6.786) Lt: 6.066 (6.066) Accm: 2.68 (2.68) Acct: 4.14 (4.14) proj_loss: -0.5958 (-0.5958) time: 0.3612 data: 0.0004
[11-27 08:50:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:07:33 tlr: 5.7e-05 tnm: 0.54 Lm: 6.821 (6.821) Lt: 6.062 (6.062) Accm: 2.48 (2.48) Acct: 4.06 (4.06) proj_loss: -0.5984 (-0.5984) time: 0.3612 data: 0.0003
[11-27 08:50:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 417/1669] eta: 0:07:33 tlr: 5.7e-05 tnm: 0.54 Lm: 6.818 (6.818) Lt: 6.121 (6.121) Accm: 2.55 (2.55) Acct: 3.86 (3.86) proj_loss: -0.5867 (-0.5867) time: 0.3612 data: 0.0003
[11-27 08:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:05:02 tlr: 5.7e-05 tnm: 0.53 Lm: 6.769 (6.786) Lt: 6.066 (6.088) Accm: 2.60 (2.57) Acct: 4.01 (3.96) proj_loss: -0.5909 (-0.5898) time: 0.3606 data: 0.0003
[11-27 08:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:05:02 tlr: 5.7e-05 tnm: 0.53 Lm: 6.835 (6.826) Lt: 6.078 (6.068) Accm: 2.47 (2.48) Acct: 3.79 (3.97) proj_loss: -0.5918 (-0.5887) time: 0.3606 data: 0.0003
[11-27 08:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:05:02 tlr: 5.7e-05 tnm: 0.53 Lm: 6.855 (6.813) Lt: 6.114 (6.098) Accm: 2.67 (2.62) Acct: 3.99 (4.01) proj_loss: -0.5967 (-0.5961) time: 0.3606 data: 0.0003
[11-27 08:52:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [ 834/1669] eta: 0:05:02 tlr: 5.7e-05 tnm: 0.53 Lm: 6.796 (6.728) Lt: 6.065 (5.997) Accm: 2.72 (2.82) Acct: 4.17 (4.35) proj_loss: -0.6161 (-0.6119) time: 0.3606 data: 0.0003
[11-27 08:55:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:02:31 tlr: 5.7e-05 tnm: 0.55 Lm: 6.814 (6.762) Lt: 6.088 (6.026) Accm: 2.66 (2.76) Acct: 4.13 (4.29) proj_loss: -0.6045 (-0.6071) time: 0.3612 data: 0.0003
[11-27 08:55:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:02:31 tlr: 5.7e-05 tnm: 0.55 Lm: 6.814 (6.818) Lt: 6.084 (6.073) Accm: 2.57 (2.55) Acct: 4.07 (4.07) proj_loss: -0.5885 (-0.5878) time: 0.3612 data: 0.0002
[11-27 08:55:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:02:31 tlr: 5.7e-05 tnm: 0.55 Lm: 6.745 (6.746) Lt: 6.045 (6.047) Accm: 2.61 (2.78) Acct: 4.09 (4.25) proj_loss: -0.5934 (-0.5922) time: 0.3612 data: 0.0002
[11-27 08:55:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1251/1669] eta: 0:02:31 tlr: 5.7e-05 tnm: 0.55 Lm: 6.786 (6.779) Lt: 6.066 (6.063) Accm: 2.68 (2.76) Acct: 4.14 (4.24) proj_loss: -0.6028 (-0.6052) time: 0.3612 data: 0.0003
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.55 Lm: 6.718 (6.753) Lt: 6.019 (6.039) Accm: 2.69 (2.78) Acct: 4.29 (4.26) proj_loss: -0.6090 (-0.6071) time: 0.3609 data: 0.0020
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:10:11 (0.366 s / it)
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.55 Lm: 6.796 (6.767) Lt: 6.099 (6.040) Accm: 2.72 (2.75) Acct: 4.17 (4.29) proj_loss: -0.6034 (-0.6063) time: 0.3609 data: 0.0019
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.55 Lm: 6.769 (6.768) Lt: 6.066 (6.077) Accm: 2.60 (2.73) Acct: 4.01 (4.19) proj_loss: -0.5959 (-0.5938) time: 0.3609 data: 0.0013
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 275/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.55 Lm: 6.794 (6.791) Lt: 6.078 (6.043) Accm: 2.67 (2.66) Acct: 4.36 (4.25) proj_loss: -0.5918 (-0.5911) time: 0.3609 data: 0.0015
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:10:11 (0.366 s / it)
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:10:11 (0.366 s / it)
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 275/350] Total time: 0:10:11 (0.366 s / it)
[11-27 08:57:57] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.785 (6.790), Lt: 6.074 (6.074), Acc m&t: 2.71 4.25, Remain: 12:27:48, Finish: 2024-11-27 05:25
[11-27 08:57:57] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.785 (6.790), Lt: 6.074 (6.074), Acc m&t: 2.71 4.25, Remain: 12:27:43, Finish: 2024-11-27 05:25
[11-27 08:57:57] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.785 (6.790), Lt: 6.074 (6.074), Acc m&t: 2.71 4.25, Remain: 12:27:51, Finish: 2024-11-27 05:25
[11-27 08:57:57] (/home/user/VAR/train.py , line 276)=> [ep275] (training ) Lm: 6.785 (6.790), Lt: 6.074 (6.074), Acc m&t: 2.71 4.25, Remain: 12:27:50, Finish: 2024-11-27 05:25
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:09:54 tlr: 5.6e-05 tnm: 0.54 Lm: 6.893 (6.893) Lt: 6.222 (6.222) Accm: 2.34 (2.34) Acct: 3.39 (3.39) proj_loss: -0.5869 (-0.5869) time: 0.3560 data: 0.0003
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:09:55 tlr: 5.6e-05 tnm: 0.54 Lm: 6.733 (6.733) Lt: 6.024 (6.024) Accm: 2.99 (2.99) Acct: 4.61 (4.61) proj_loss: -0.5972 (-0.5972) time: 0.3567 data: 0.0004
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:09:55 tlr: 5.6e-05 tnm: 0.54 Lm: 6.930 (6.930) Lt: 6.262 (6.262) Accm: 2.39 (2.39) Acct: 3.94 (3.94) proj_loss: -0.5978 (-0.5978) time: 0.3569 data: 0.0003
[11-27 08:57:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 0/1669] eta: 0:09:56 tlr: 5.6e-05 tnm: 0.54 Lm: 6.774 (6.774) Lt: 5.997 (5.997) Accm: 2.86 (2.86) Acct: 4.63 (4.63) proj_loss: -0.5943 (-0.5943) time: 0.3572 data: 0.0003
[11-27 09:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:07:51 tlr: 5.6e-05 tnm: 0.56 Lm: 6.749 (6.749) Lt: 5.993 (5.993) Accm: 2.90 (2.90) Acct: 4.54 (4.54) proj_loss: -0.5952 (-0.5952) time: 0.4035 data: 0.0003
[11-27 09:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:07:52 tlr: 5.6e-05 tnm: 0.56 Lm: 6.797 (6.797) Lt: 6.088 (6.088) Accm: 2.80 (2.80) Acct: 4.20 (4.20) proj_loss: -0.5902 (-0.5902) time: 0.4035 data: 0.0003
[11-27 09:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:07:52 tlr: 5.6e-05 tnm: 0.56 Lm: 6.882 (6.882) Lt: 6.211 (6.211) Accm: 2.44 (2.44) Acct: 3.75 (3.75) proj_loss: -0.5953 (-0.5953) time: 0.4035 data: 0.0003
[11-27 09:00:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 417/1669] eta: 0:07:52 tlr: 5.6e-05 tnm: 0.56 Lm: 6.883 (6.883) Lt: 6.201 (6.201) Accm: 2.49 (2.49) Acct: 3.74 (3.74) proj_loss: -0.5899 (-0.5899) time: 0.4035 data: 0.0003
[11-27 09:03:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:05:13 tlr: 5.6e-05 tnm: 0.57 Lm: 6.874 (6.850) Lt: 6.179 (6.152) Accm: 2.64 (2.59) Acct: 4.08 (3.90) proj_loss: -0.5930 (-0.5947) time: 0.4071 data: 0.0003
[11-27 09:03:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:05:13 tlr: 5.6e-05 tnm: 0.57 Lm: 6.861 (6.825) Lt: 6.152 (6.128) Accm: 2.60 (2.64) Acct: 3.79 (3.97) proj_loss: -0.5972 (-0.5933) time: 0.4071 data: 0.0002
[11-27 09:03:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:05:13 tlr: 5.6e-05 tnm: 0.57 Lm: 6.774 (6.774) Lt: 5.997 (6.038) Accm: 2.86 (2.87) Acct: 4.63 (4.61) proj_loss: -0.5943 (-0.5914) time: 0.4072 data: 0.0003
[11-27 09:03:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [ 834/1669] eta: 0:05:13 tlr: 5.6e-05 tnm: 0.57 Lm: 6.833 (6.801) Lt: 6.161 (6.092) Accm: 2.50 (2.66) Acct: 3.94 (4.22) proj_loss: -0.5968 (-0.5958) time: 0.4071 data: 0.0003
[11-27 09:05:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:02:36 tlr: 5.6e-05 tnm: 0.56 Lm: 6.852 (6.818) Lt: 6.166 (6.112) Accm: 2.55 (2.65) Acct: 4.09 (4.23) proj_loss: -0.5948 (-0.5929) time: 0.3608 data: 0.0003
[11-27 09:05:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:02:36 tlr: 5.6e-05 tnm: 0.56 Lm: 6.836 (6.837) Lt: 6.117 (6.119) Accm: 2.64 (2.60) Acct: 4.15 (4.08) proj_loss: -0.5899 (-0.5921) time: 0.3608 data: 0.0003
[11-27 09:05:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:02:36 tlr: 5.6e-05 tnm: 0.56 Lm: 6.829 (6.818) Lt: 6.123 (6.120) Accm: 2.72 (2.69) Acct: 4.20 (4.14) proj_loss: -0.5902 (-0.5894) time: 0.3608 data: 0.0003
[11-27 09:05:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1251/1669] eta: 0:02:36 tlr: 5.6e-05 tnm: 0.56 Lm: 6.798 (6.789) Lt: 6.038 (6.048) Accm: 2.84 (2.77) Acct: 4.54 (4.49) proj_loss: -0.5912 (-0.5906) time: 0.3608 data: 0.0003
[11-27 09:08:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.56 Lm: 6.774 (6.758) Lt: 5.997 (6.002) Accm: 2.86 (2.83) Acct: 4.63 (4.60) proj_loss: -0.5943 (-0.5933) time: 0.3622 data: 0.0017
[11-27 09:08:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:10:26 (0.375 s / it)
[11-27 09:08:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.56 Lm: 6.798 (6.800) Lt: 6.094 (6.097) Accm: 2.83 (2.74) Acct: 4.42 (4.19) proj_loss: -0.5953 (-0.5906) time: 0.3622 data: 0.0019
[11-27 09:08:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.56 Lm: 6.833 (6.810) Lt: 6.161 (6.101) Accm: 2.61 (2.67) Acct: 4.24 (4.30) proj_loss: -0.5968 (-0.5947) time: 0.3622 data: 0.0019
[11-27 09:08:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 276/350] [1668/1669] eta: 0:00:00 tlr: 5.6e-05 tnm: 0.56 Lm: 6.798 (6.822) Lt: 6.056 (6.100) Accm: 2.64 (2.60) Acct: 4.22 (4.11) proj_loss: -0.5930 (-0.5989) time: 0.3622 data: 0.0014
[11-27 09:08:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:10:26 (0.375 s / it)
[11-27 09:08:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:10:26 (0.375 s / it)
[11-27 09:08:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 276/350] Total time: 0:10:26 (0.375 s / it)
[11-27 09:08:23] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.785 (6.796), Lt: 6.074 (6.083), Acc m&t: 2.71 4.25, Remain: 12:19:28, Finish: 2024-11-27 05:27
[11-27 09:08:23] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.785 (6.796), Lt: 6.074 (6.083), Acc m&t: 2.71 4.25, Remain: 12:19:24, Finish: 2024-11-27 05:27
[11-27 09:08:23] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.785 (6.796), Lt: 6.074 (6.083), Acc m&t: 2.71 4.25, Remain: 12:19:21, Finish: 2024-11-27 05:27
[11-27 09:08:23] (/home/user/VAR/train.py , line 276)=> [ep276] (training ) Lm: 6.785 (6.796), Lt: 6.074 (6.083), Acc m&t: 2.71 4.25, Remain: 12:19:40, Finish: 2024-11-27 05:28
[11-27 09:08:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:09:45 tlr: 5.6e-05 tnm: 0.56 Lm: 6.777 (6.777) Lt: 6.067 (6.067) Accm: 2.72 (2.72) Acct: 4.32 (4.32) proj_loss: -0.5999 (-0.5999) time: 0.3510 data: 0.0004
[11-27 09:08:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:09:44 tlr: 5.6e-05 tnm: 0.56 Lm: 6.769 (6.769) Lt: 6.028 (6.028) Accm: 2.41 (2.41) Acct: 3.53 (3.53) proj_loss: -0.5759 (-0.5759) time: 0.3502 data: 0.0004
[11-27 09:08:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:09:39 tlr: 5.6e-05 tnm: 0.56 Lm: 6.831 (6.831) Lt: 6.090 (6.090) Accm: 2.66 (2.66) Acct: 4.12 (4.12) proj_loss: -0.6021 (-0.6021) time: 0.3472 data: 0.0004
[11-27 09:08:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 0/1669] eta: 0:09:46 tlr: 5.6e-05 tnm: 0.56 Lm: 6.667 (6.667) Lt: 5.918 (5.918) Accm: 3.08 (3.08) Acct: 4.89 (4.89) proj_loss: -0.5898 (-0.5898) time: 0.3513 data: 0.0004
[11-27 09:10:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:07:39 tlr: 5.5e-05 tnm: 0.57 Lm: 6.693 (6.693) Lt: 5.985 (5.985) Accm: 2.85 (2.85) Acct: 4.51 (4.51) proj_loss: -0.5962 (-0.5962) time: 0.3595 data: 0.0004
[11-27 09:10:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:07:39 tlr: 5.5e-05 tnm: 0.57 Lm: 6.812 (6.812) Lt: 6.108 (6.108) Accm: 2.39 (2.39) Acct: 3.57 (3.57) proj_loss: -0.5975 (-0.5975) time: 0.3595 data: 0.0003
[11-27 09:10:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:07:39 tlr: 5.5e-05 tnm: 0.57 Lm: 6.758 (6.758) Lt: 6.032 (6.032) Accm: 2.96 (2.96) Acct: 4.62 (4.62) proj_loss: -0.6049 (-0.6049) time: 0.3595 data: 0.0004
[11-27 09:10:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 417/1669] eta: 0:07:39 tlr: 5.5e-05 tnm: 0.57 Lm: 6.794 (6.794) Lt: 6.052 (6.052) Accm: 2.72 (2.72) Acct: 4.33 (4.33) proj_loss: -0.5972 (-0.5972) time: 0.3595 data: 0.0002
[11-27 09:13:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:05:05 tlr: 5.5e-05 tnm: 0.55 Lm: 6.831 (6.848) Lt: 6.090 (6.119) Accm: 2.66 (2.60) Acct: 4.12 (4.21) proj_loss: -0.5940 (-0.5961) time: 0.3624 data: 0.0003
[11-27 09:13:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:05:05 tlr: 5.5e-05 tnm: 0.55 Lm: 6.769 (6.757) Lt: 6.028 (6.063) Accm: 2.41 (2.58) Acct: 3.62 (3.91) proj_loss: -0.6083 (-0.6011) time: 0.3624 data: 0.0002
[11-27 09:13:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:05:05 tlr: 5.5e-05 tnm: 0.55 Lm: 6.777 (6.781) Lt: 6.067 (6.062) Accm: 2.72 (2.79) Acct: 4.32 (4.49) proj_loss: -0.5999 (-0.6001) time: 0.3624 data: 0.0003
[11-27 09:13:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [ 834/1669] eta: 0:05:05 tlr: 5.5e-05 tnm: 0.55 Lm: 6.720 (6.729) Lt: 6.052 (6.019) Accm: 2.62 (2.74) Acct: 4.13 (4.32) proj_loss: -0.5940 (-0.5954) time: 0.3624 data: 0.0003
[11-27 09:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:02:32 tlr: 5.5e-05 tnm: 0.58 Lm: 6.858 (6.857) Lt: 6.124 (6.129) Accm: 2.52 (2.55) Acct: 4.04 (4.05) proj_loss: -0.5931 (-0.5944) time: 0.3607 data: 0.0002
[11-27 09:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:02:32 tlr: 5.5e-05 tnm: 0.58 Lm: 6.772 (6.762) Lt: 6.022 (6.051) Accm: 2.63 (2.64) Acct: 3.98 (4.02) proj_loss: -0.6047 (-0.6011) time: 0.3606 data: 0.0002
[11-27 09:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:02:32 tlr: 5.5e-05 tnm: 0.58 Lm: 6.758 (6.758) Lt: 6.032 (6.034) Accm: 2.69 (2.76) Acct: 4.27 (4.40) proj_loss: -0.5970 (-0.5986) time: 0.3607 data: 0.0002
[11-27 09:15:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1251/1669] eta: 0:02:32 tlr: 5.5e-05 tnm: 0.58 Lm: 6.761 (6.756) Lt: 6.069 (6.043) Accm: 2.62 (2.71) Acct: 4.04 (4.22) proj_loss: -0.5978 (-0.5970) time: 0.3607 data: 0.0003
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.54 Lm: 6.724 (6.750) Lt: 6.052 (6.027) Accm: 2.62 (2.74) Acct: 4.13 (4.29) proj_loss: -0.6017 (-0.5984) time: 0.3635 data: 0.0016
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.54 Lm: 6.769 (6.757) Lt: 6.028 (6.054) Accm: 2.84 (2.70) Acct: 4.34 (4.13) proj_loss: -0.6036 (-0.6016) time: 0.3635 data: 0.0019
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.54 Lm: 6.831 (6.819) Lt: 6.090 (6.094) Accm: 2.66 (2.70) Acct: 4.12 (4.33) proj_loss: -0.5940 (-0.5952) time: 0.3634 data: 0.0019
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 277/350] [1668/1669] eta: 0:00:00 tlr: 5.5e-05 tnm: 0.54 Lm: 6.776 (6.761) Lt: 5.997 (6.022) Accm: 2.67 (2.72) Acct: 4.22 (4.29) proj_loss: -0.5942 (-0.5959) time: 0.3635 data: 0.0019
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:10:06 (0.364 s / it)
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:10:06 (0.364 s / it)
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:10:06 (0.364 s / it)
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 277/350] Total time: 0:10:06 (0.364 s / it)
[11-27 09:18:30] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.785 (6.788), Lt: 6.074 (6.074), Acc m&t: 2.71 4.25, Remain: 12:12:16, Finish: 2024-11-27 05:30
[11-27 09:18:30] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.785 (6.788), Lt: 6.074 (6.074), Acc m&t: 2.71 4.25, Remain: 12:12:04, Finish: 2024-11-27 05:30
[11-27 09:18:30] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.785 (6.788), Lt: 6.074 (6.074), Acc m&t: 2.71 4.25, Remain: 12:11:26, Finish: 2024-11-27 05:29
[11-27 09:18:30] (/home/user/VAR/train.py , line 276)=> [ep277] (training ) Lm: 6.785 (6.788), Lt: 6.074 (6.074), Acc m&t: 2.71 4.25, Remain: 12:11:14, Finish: 2024-11-27 05:29
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:09:44 tlr: 5.5e-05 tnm: 0.56 Lm: 6.712 (6.712) Lt: 5.942 (5.942) Accm: 2.79 (2.79) Acct: 4.63 (4.63) proj_loss: -0.6062 (-0.6062) time: 0.3503 data: 0.0004
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:09:47 tlr: 5.5e-05 tnm: 0.56 Lm: 6.768 (6.768) Lt: 6.090 (6.090) Accm: 2.97 (2.97) Acct: 4.58 (4.58) proj_loss: -0.6159 (-0.6159) time: 0.3517 data: 0.0004
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:09:32 tlr: 5.5e-05 tnm: 0.56 Lm: 6.863 (6.863) Lt: 6.199 (6.199) Accm: 2.72 (2.72) Acct: 4.42 (4.42) proj_loss: -0.6001 (-0.6001) time: 0.3430 data: 0.0004
[11-27 09:18:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 278/350] [ 0/1669] eta: 0:09:57 tlr: 5.5e-05 tnm: 0.56 Lm: 6.755 (6.755) Lt: 6.022 (6.022) Accm: 2.80 (2.80) Acct: 4.41 (4.41) proj_loss: -0.5801 (-0.5801) time: 0.3577 data: 0.0004