[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-26 12:32:18] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-26 12:32:18] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth -1 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/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 : -1
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
}
[11-26 12:32:18] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7febc18d3370>
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7febc18d3370>
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-26 12:32:21] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt*.pth
[11-26 12:32:21] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-26 12:32:21] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-26 12:32:18] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-26 12:32:18] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth -1 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/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 : -1
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
branch : main
}
[11-26 12:32:18] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f0840b17370>
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f0840b17370>
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-26 12:32:21] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt*.pth
[11-26 12:32:21] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-26 12:32:21] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-26 12:32:18] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-26 12:32:18] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth -1 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/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 : -1
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
}
[11-26 12:32:18] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f46c8e63370>
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f46c8e63370>
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-26 12:32:21] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt*.pth
[11-26 12:32:21] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-26 12:32:21] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 227)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-26 12:32:16] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-26 12:32:18] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-26 12:32:18] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth -1 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/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 : -1
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
same_seed_for_all_ranks: 0
local_debug : False
dbg_nan : False
cfg : [3.5, 3.5]
top_k : 900
top_p : 0.95
commit_msg : add
branch : main
commit_id : a2229298db3e1d35d196f16623f86dea25402aa2
}
[11-26 12:32:18] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f7e19d7f370>
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f7e19d7f370>
[11-26 12:32:21] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-26 12:32:21] (/home/user/VAR/train.py , line 65)=> [auto_resume] no ckpt found @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt*.pth
[11-26 12:32:21] (/home/user/VAR/train.py , line 65)=> [auto_resume quit]
[11-26 12:32:21] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ... [dataloader multi processing](*) finished! (46.72s)
[dataloader multi processing](*) finished! (47.13s)
[dataloader multi processing](*) finished! (47.63s)
[dataloader multi processing](*) finished! (49.01s)
[11-26 12:33:08] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-26 12:33:11] (/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])
[11-26 12:33:11] (/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])
[11-26 12:33:12] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-26 12:33:08] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-26 12:33:13] (/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])
[11-26 12:33:13] (/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])
[11-26 12:33:14] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-26 12:33:09] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-26 12:33:13] (/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])
[11-26 12:33:13] (/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])
[11-26 12:33:15] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-26 12:33:10] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-26 12:33:15] (/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])
[11-26 12:33:15] (/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])
[11-26 12:33:17] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-26 12:33:13] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-26 12:33:40] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
)
)
[11-26 12:33:40] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-26 12:33:40] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=637.14
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias')",
'wd_sc': 0.0}}
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank0] type(model).__name__='OptimizedModule' count=249, numel=637135248
[11-26 12:33:18] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-26 12:33:40] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
)
)
[11-26 12:33:40] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-26 12:33:40] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=637.14
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias')",
'wd_sc': 0.0}}
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank8] type(model).__name__='OptimizedModule' count=249, numel=637135248
[11-26 12:33:15] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-26 12:33:40] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
)
)
[11-26 12:33:40] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-26 12:33:40] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=637.14
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias')",
'wd_sc': 0.0}}
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank16] type(model).__name__='OptimizedModule' count=249, numel=637135248
[11-26 12:33:15] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-26 12:33:40] (/home/user/VAR/train.py , line 125)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
)
)
[11-26 12:33:40] (/home/user/VAR/train.py , line 127)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-26 12:33:40] (/home/user/VAR/train.py , line 128)=> [INIT][#para] VAR=637.14
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias')",
'wd_sc': 0.0}}
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank24] type(model).__name__='OptimizedModule' count=249, numel=637135248
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 105)=>
[11-26 12:33:40] (/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}
[11-26 12:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 4 days, 13:18:56 tlr: 1.2e-06 tnm: 0.05 Lm: 9.704 (9.704) Lt: 9.705 (9.705) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: 0.0000 (0.0000) time: 235.7918 data: 0.0006
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 105)=>
[11-26 12:33:40] (/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}
[11-26 12:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 4 days, 13:40:19 tlr: 1.2e-06 tnm: 0.05 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0000 (0.0000) time: 236.5603 data: 0.0005
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 105)=>
[11-26 12:33:40] (/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}
[11-26 12:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 4 days, 13:41:53 tlr: 1.2e-06 tnm: 0.05 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0000 (0.0000) time: 236.6170 data: 0.0005
[11-26 12:33:40] (/VAR/utils/lr_control.py, line 105)=>
[11-26 12:33:40] (/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}
[11-26 12:37:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 0/1669] eta: 4 days, 13:42:05 tlr: 1.2e-06 tnm: 0.05 Lm: 9.704 (9.704) Lt: 9.704 (9.704) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0000 (0.0000) time: 236.6240 data: 0.0006
[11-26 12:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:31:22 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: 0.0000 (0.0000) time: 0.3783 data: 0.0002
[11-26 12:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:31:22 tlr: 9.7e-06 tnm: 0.05 Lm: 9.700 (9.700) Lt: 9.699 (9.699) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0000 (0.0000) time: 0.3783 data: 0.0002
[11-26 12:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:31:20 tlr: 9.7e-06 tnm: 0.05 Lm: 9.700 (9.700) Lt: 9.700 (9.700) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3783 data: 0.0002
[11-26 12:44:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 417/1669] eta: 0:31:22 tlr: 9.7e-06 tnm: 0.05 Lm: 9.701 (9.701) Lt: 9.700 (9.700) Accm: 0.00 (0.00) Acct: 0.00 (0.00) proj_loss: 0.0000 (0.0000) time: 0.3783 data: 0.0002
[11-26 12:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:13:06 tlr: 1.8e-05 tnm: 0.08 Lm: 9.697 (9.685) Lt: 9.696 (9.685) Accm: 0.01 (0.01) Acct: 0.00 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0002
[11-26 12:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:13:06 tlr: 1.8e-05 tnm: 0.08 Lm: 9.695 (9.684) Lt: 9.694 (9.685) Accm: 0.01 (0.01) Acct: 0.00 (0.01) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0002
[11-26 12:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:13:06 tlr: 1.8e-05 tnm: 0.08 Lm: 9.696 (9.685) Lt: 9.695 (9.687) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0002
[11-26 12:46:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [ 834/1669] eta: 0:13:05 tlr: 1.8e-05 tnm: 0.08 Lm: 9.696 (9.686) Lt: 9.696 (9.688) Accm: 0.01 (0.01) Acct: 0.02 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0002
[11-26 12:49:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:05:15 tlr: 2.7e-05 tnm: 0.23 Lm: 9.677 (9.661) Lt: 9.680 (9.669) Accm: 0.02 (0.02) Acct: 0.02 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 12:49:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:05:15 tlr: 2.7e-05 tnm: 0.23 Lm: 9.676 (9.660) Lt: 9.676 (9.667) Accm: 0.02 (0.02) Acct: 0.01 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 12:49:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:05:15 tlr: 2.7e-05 tnm: 0.23 Lm: 9.676 (9.660) Lt: 9.679 (9.667) Accm: 0.01 (0.01) Acct: 0.03 (0.03) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 12:49:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1251/1669] eta: 0:05:15 tlr: 2.7e-05 tnm: 0.23 Lm: 9.674 (9.659) Lt: 9.676 (9.667) Accm: 0.02 (0.02) Acct: 0.02 (0.03) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 12:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.82 Lm: 9.653 (9.619) Lt: 9.657 (9.633) Accm: 0.03 (0.02) Acct: 0.03 (0.03) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0017
[11-26 12:52:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:18:23 (0.661 s / it)
[11-26 12:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.82 Lm: 9.654 (9.619) Lt: 9.655 (9.633) Accm: 0.03 (0.02) Acct: 0.02 (0.03) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0015
[11-26 12:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.82 Lm: 9.656 (9.620) Lt: 9.663 (9.634) Accm: 0.02 (0.02) Acct: 0.02 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0016
[11-26 12:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 0/350] [1668/1669] eta: 0:00:00 tlr: 3.5e-05 tnm: 0.82 Lm: 9.659 (9.620) Lt: 9.663 (9.634) Accm: 0.03 (0.03) Acct: 0.02 (0.03) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0017
[11-26 12:52:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:18:23 (0.661 s / it)
[11-26 12:52:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:18:23 (0.661 s / it)
[11-26 12:52:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 0/350] Total time: 0:18:23 (0.661 s / it)
[11-26 12:52:04] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.619 (9.619), Lt: 9.634 (9.634), Acc m&t: 0.02 0.02, Remain: 2 days, 14:02:26, Finish: 2024-11-28 10:54
[11-26 12:52:04] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.619 (9.619), Lt: 9.634 (9.634), Acc m&t: 0.02 0.02, Remain: 2 days, 14:03:08, Finish: 2024-11-28 10:55
[11-26 12:52:04] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.619 (9.619), Lt: 9.634 (9.634), Acc m&t: 0.02 0.02, Remain: 2 days, 14:01:45, Finish: 2024-11-28 10:53
[11-26 12:52:04] (/home/user/VAR/train.py , line 276)=> [ep0] (training ) Lm: 9.619 (9.619), Lt: 9.634 (9.634), Acc m&t: 0.02 0.02, Remain: 2 days, 14:03:27, Finish: 2024-11-28 10:55
[11-26 12:52:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:10:33 tlr: 3.5e-05 tnm: 0.68 Lm: 9.449 (9.449) Lt: 9.484 (9.484) Accm: 0.07 (0.07) Acct: 0.02 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0003
[11-26 12:52:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:10:33 tlr: 3.5e-05 tnm: 0.68 Lm: 9.454 (9.454) Lt: 9.495 (9.495) Accm: 0.07 (0.07) Acct: 0.05 (0.05) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0004
[11-26 12:52:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:10:33 tlr: 3.5e-05 tnm: 0.68 Lm: 9.460 (9.460) Lt: 9.503 (9.503) Accm: 0.06 (0.06) Acct: 0.07 (0.07) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0004
[11-26 12:52:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 0/1669] eta: 0:10:33 tlr: 3.5e-05 tnm: 0.68 Lm: 9.446 (9.446) Lt: 9.489 (9.489) Accm: 0.05 (0.05) Acct: 0.02 (0.02) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0005
[11-26 12:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:55 tlr: 4.4e-05 tnm: 1.45 Lm: 9.179 (9.179) Lt: 9.180 (9.180) Accm: 0.14 (0.14) Acct: 0.14 (0.14) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 12:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:55 tlr: 4.4e-05 tnm: 1.45 Lm: 9.187 (9.187) Lt: 9.194 (9.194) Accm: 0.13 (0.13) Acct: 0.14 (0.14) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 12:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:55 tlr: 4.4e-05 tnm: 1.45 Lm: 9.187 (9.187) Lt: 9.192 (9.192) Accm: 0.11 (0.11) Acct: 0.07 (0.07) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 12:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 417/1669] eta: 0:07:55 tlr: 4.4e-05 tnm: 1.45 Lm: 9.188 (9.188) Lt: 9.185 (9.185) Accm: 0.13 (0.13) Acct: 0.12 (0.12) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 12:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:05:17 tlr: 5.2e-05 tnm: 1.71 Lm: 8.922 (8.923) Lt: 8.876 (8.849) Accm: 0.19 (0.25) Acct: 0.19 (0.28) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 12:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:05:17 tlr: 5.2e-05 tnm: 1.71 Lm: 8.914 (8.930) Lt: 8.885 (8.870) Accm: 0.21 (0.22) Acct: 0.21 (0.23) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 12:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:05:17 tlr: 5.2e-05 tnm: 1.71 Lm: 8.925 (8.931) Lt: 8.900 (8.862) Accm: 0.15 (0.23) Acct: 0.12 (0.25) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 12:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [ 834/1669] eta: 0:05:17 tlr: 5.2e-05 tnm: 1.71 Lm: 8.912 (8.932) Lt: 8.871 (8.860) Accm: 0.23 (0.25) Acct: 0.26 (0.32) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 13:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:38 tlr: 6.1e-05 tnm: 1.96 Lm: 8.675 (8.770) Lt: 8.545 (8.651) Accm: 0.34 (0.32) Acct: 0.46 (0.44) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 13:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:38 tlr: 6.1e-05 tnm: 1.96 Lm: 8.673 (8.763) Lt: 8.552 (8.644) Accm: 0.30 (0.29) Acct: 0.37 (0.37) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 13:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:38 tlr: 6.1e-05 tnm: 1.96 Lm: 8.665 (8.783) Lt: 8.554 (8.676) Accm: 0.30 (0.30) Acct: 0.31 (0.34) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 13:00:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1251/1669] eta: 0:02:38 tlr: 6.1e-05 tnm: 1.96 Lm: 8.657 (8.759) Lt: 8.525 (8.637) Accm: 0.34 (0.32) Acct: 0.39 (0.37) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 1.73 Lm: 8.393 (8.649) Lt: 8.175 (8.494) Accm: 0.48 (0.35) Acct: 0.59 (0.43) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0017
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 1.73 Lm: 8.420 (8.654) Lt: 8.203 (8.501) Accm: 0.46 (0.35) Acct: 0.62 (0.48) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0016
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 1.73 Lm: 8.417 (8.665) Lt: 8.223 (8.526) Accm: 0.39 (0.34) Acct: 0.41 (0.42) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0016
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 1/350] [1668/1669] eta: 0:00:00 tlr: 6.9e-05 tnm: 1.73 Lm: 8.437 (8.662) Lt: 8.219 (8.516) Accm: 0.46 (0.36) Acct: 0.67 (0.52) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0018
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 1/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:02:39] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 8.657 (8.657), Lt: 8.509 (8.509), Acc m&t: 0.36 0.47, Remain: 2 days, 13:50:22, Finish: 2024-11-28 10:53
[11-26 13:02:39] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 8.657 (8.657), Lt: 8.509 (8.509), Acc m&t: 0.36 0.47, Remain: 2 days, 13:49:18, Finish: 2024-11-28 10:51
[11-26 13:02:39] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 8.657 (8.657), Lt: 8.509 (8.509), Acc m&t: 0.36 0.47, Remain: 2 days, 13:50:11, Finish: 2024-11-28 10:52
[11-26 13:02:39] (/home/user/VAR/train.py , line 276)=> [ep1] (training ) Lm: 8.657 (8.657), Lt: 8.509 (8.509), Acc m&t: 0.36 0.47, Remain: 2 days, 13:49:04, Finish: 2024-11-28 10:51
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:10:36 tlr: 6.9e-05 tnm: 1.71 Lm: 8.231 (8.231) Lt: 7.995 (7.995) Accm: 0.55 (0.55) Acct: 0.77 (0.77) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0003
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:10:35 tlr: 6.9e-05 tnm: 1.71 Lm: 8.182 (8.182) Lt: 7.913 (7.913) Accm: 0.63 (0.63) Acct: 0.79 (0.79) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0003
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:10:35 tlr: 6.9e-05 tnm: 1.71 Lm: 8.243 (8.243) Lt: 7.958 (7.958) Accm: 0.54 (0.54) Acct: 0.76 (0.76) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0004
[11-26 13:02:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 0/1669] eta: 0:10:35 tlr: 6.9e-05 tnm: 1.71 Lm: 8.219 (8.219) Lt: 7.947 (7.947) Accm: 0.59 (0.59) Acct: 0.88 (0.88) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0003
[11-26 13:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:55 tlr: 7.8e-05 tnm: 1.42 Lm: 8.199 (8.199) Lt: 7.924 (7.924) Accm: 0.53 (0.53) Acct: 0.77 (0.77) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:55 tlr: 7.8e-05 tnm: 1.42 Lm: 8.220 (8.220) Lt: 7.946 (7.946) Accm: 0.58 (0.58) Acct: 0.80 (0.80) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:55 tlr: 7.8e-05 tnm: 1.42 Lm: 8.196 (8.196) Lt: 7.937 (7.937) Accm: 0.54 (0.54) Acct: 0.71 (0.71) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:05:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 417/1669] eta: 0:07:55 tlr: 7.8e-05 tnm: 1.42 Lm: 8.179 (8.179) Lt: 7.908 (7.908) Accm: 0.63 (0.63) Acct: 0.80 (0.80) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:07:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:17 tlr: 8.6e-05 tnm: 1.37 Lm: 8.182 (8.186) Lt: 7.904 (7.902) Accm: 0.63 (0.59) Acct: 0.79 (0.79) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 13:07:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:17 tlr: 8.6e-05 tnm: 1.37 Lm: 8.197 (8.210) Lt: 7.934 (7.933) Accm: 0.63 (0.60) Acct: 0.84 (0.82) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 13:07:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:17 tlr: 8.6e-05 tnm: 1.37 Lm: 8.162 (8.179) Lt: 7.889 (7.921) Accm: 0.55 (0.57) Acct: 0.77 (0.79) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 13:07:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [ 834/1669] eta: 0:05:17 tlr: 8.6e-05 tnm: 1.37 Lm: 8.179 (8.190) Lt: 7.901 (7.915) Accm: 0.59 (0.57) Acct: 0.88 (0.88) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 13:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:41 tlr: 9.5e-05 tnm: 1.23 Lm: 8.176 (8.173) Lt: 7.899 (7.884) Accm: 0.62 (0.61) Acct: 0.95 (0.91) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 13:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:41 tlr: 9.5e-05 tnm: 1.23 Lm: 8.154 (8.160) Lt: 7.884 (7.899) Accm: 0.58 (0.59) Acct: 0.85 (0.82) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 13:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:41 tlr: 9.5e-05 tnm: 1.23 Lm: 8.179 (8.167) Lt: 7.897 (7.886) Accm: 0.63 (0.62) Acct: 0.80 (0.82) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 13:10:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1251/1669] eta: 0:02:41 tlr: 9.5e-05 tnm: 1.23 Lm: 8.194 (8.188) Lt: 7.921 (7.914) Accm: 0.63 (0.61) Acct: 0.85 (0.84) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.25 Lm: 8.190 (8.163) Lt: 7.909 (7.882) Accm: 0.63 (0.61) Acct: 0.86 (0.84) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0016
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:40 (0.384 s / it)
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.25 Lm: 8.175 (8.156) Lt: 7.889 (7.871) Accm: 0.63 (0.61) Acct: 0.79 (0.81) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0017
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.25 Lm: 8.173 (8.157) Lt: 7.897 (7.868) Accm: 0.66 (0.65) Acct: 1.02 (0.97) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0017
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 2/350] [1668/1669] eta: 0:00:00 tlr: 0.0001 tnm: 1.25 Lm: 8.146 (8.141) Lt: 7.878 (7.876) Accm: 0.61 (0.64) Acct: 0.93 (0.87) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0018
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:40 (0.384 s / it)
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:40 (0.384 s / it)
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 2/350] Total time: 0:10:40 (0.384 s / it)
[11-26 13:13:20] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.154 (8.154), Lt: 7.872 (7.872), Acc m&t: 0.63 0.86, Remain: 2 days, 13:35:39, Finish: 2024-11-28 10:48
[11-26 13:13:20] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.154 (8.154), Lt: 7.872 (7.872), Acc m&t: 0.63 0.86, Remain: 2 days, 13:32:57, Finish: 2024-11-28 10:46
[11-26 13:13:20] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.154 (8.154), Lt: 7.872 (7.872), Acc m&t: 0.63 0.86, Remain: 2 days, 13:33:16, Finish: 2024-11-28 10:46
[11-26 13:13:20] (/home/user/VAR/train.py , line 276)=> [ep2] (training ) Lm: 8.154 (8.154), Lt: 7.872 (7.872), Acc m&t: 0.63 0.86, Remain: 2 days, 13:35:07, Finish: 2024-11-28 10:48
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:10:30 tlr: 0.0001 tnm: 1.15 Lm: 8.065 (8.065) Lt: 7.771 (7.771) Accm: 0.60 (0.60) Acct: 0.91 (0.91) proj_loss: 0.0000 (0.0000) time: 0.3780 data: 0.0003
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:10:30 tlr: 0.0001 tnm: 1.15 Lm: 8.111 (8.111) Lt: 7.827 (7.827) Accm: 0.60 (0.60) Acct: 0.90 (0.90) proj_loss: 0.0000 (0.0000) time: 0.3777 data: 0.0004
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:10:31 tlr: 0.0001 tnm: 1.15 Lm: 8.114 (8.114) Lt: 7.822 (7.822) Accm: 0.64 (0.64) Acct: 0.96 (0.96) proj_loss: 0.0000 (0.0000) time: 0.3783 data: 0.0004
[11-26 13:13:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 0/1669] eta: 0:10:31 tlr: 0.0001 tnm: 1.15 Lm: 8.091 (8.091) Lt: 7.774 (7.774) Accm: 0.54 (0.54) Acct: 0.76 (0.76) proj_loss: 0.0000 (0.0000) time: 0.3781 data: 0.0004
[11-26 13:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:55 tlr: 0.00011 tnm: 1.09 Lm: 8.080 (8.080) Lt: 7.783 (7.783) Accm: 0.65 (0.65) Acct: 0.96 (0.96) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0002
[11-26 13:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:55 tlr: 0.00011 tnm: 1.09 Lm: 8.080 (8.080) Lt: 7.782 (7.782) Accm: 0.62 (0.62) Acct: 0.96 (0.96) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0002
[11-26 13:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:55 tlr: 0.00011 tnm: 1.09 Lm: 8.069 (8.069) Lt: 7.774 (7.774) Accm: 0.74 (0.74) Acct: 1.05 (1.05) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0003
[11-26 13:15:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 417/1669] eta: 0:07:55 tlr: 0.00011 tnm: 1.09 Lm: 8.045 (8.045) Lt: 7.740 (7.740) Accm: 0.68 (0.68) Acct: 0.98 (0.98) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0002
[11-26 13:18:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 1.02 Lm: 8.026 (8.038) Lt: 7.725 (7.735) Accm: 0.67 (0.68) Acct: 0.91 (0.88) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-26 13:18:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 1.02 Lm: 8.048 (8.064) Lt: 7.741 (7.768) Accm: 0.63 (0.71) Acct: 1.02 (1.07) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-26 13:18:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 1.02 Lm: 8.023 (8.052) Lt: 7.726 (7.749) Accm: 0.74 (0.74) Acct: 0.96 (0.99) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-26 13:18:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [ 834/1669] eta: 0:05:17 tlr: 0.00012 tnm: 1.02 Lm: 8.070 (8.065) Lt: 7.774 (7.777) Accm: 0.67 (0.66) Acct: 0.86 (0.93) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-26 13:21:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 1.18 Lm: 8.056 (8.059) Lt: 7.770 (7.761) Accm: 0.72 (0.69) Acct: 1.02 (1.01) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 13:21:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 1.18 Lm: 8.045 (8.049) Lt: 7.748 (7.749) Accm: 0.65 (0.66) Acct: 0.85 (0.86) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 13:21:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 1.18 Lm: 8.040 (8.056) Lt: 7.739 (7.752) Accm: 0.68 (0.71) Acct: 1.05 (1.08) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 13:21:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1251/1669] eta: 0:02:38 tlr: 0.00013 tnm: 1.18 Lm: 8.021 (8.039) Lt: 7.728 (7.745) Accm: 0.72 (0.73) Acct: 0.95 (0.98) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.85 Lm: 8.020 (8.023) Lt: 7.726 (7.730) Accm: 0.71 (0.72) Acct: 0.93 (0.97) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0014
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.85 Lm: 8.032 (8.043) Lt: 7.737 (7.734) Accm: 0.74 (0.74) Acct: 1.08 (1.09) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0017
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.85 Lm: 8.026 (8.035) Lt: 7.725 (7.735) Accm: 0.67 (0.69) Acct: 0.91 (0.91) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0016
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 3/350] [1668/1669] eta: 0:00:00 tlr: 0.00014 tnm: 0.85 Lm: 8.043 (8.044) Lt: 7.766 (7.739) Accm: 0.76 (0.72) Acct: 1.14 (1.04) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0020
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 3/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:23:54] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.037 (8.037), Lt: 7.739 (7.739), Acc m&t: 0.71 0.97, Remain: 2 days, 13:15:10, Finish: 2024-11-28 10:39
[11-26 13:23:54] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.037 (8.037), Lt: 7.739 (7.739), Acc m&t: 0.71 0.97, Remain: 2 days, 13:14:50, Finish: 2024-11-28 10:38
[11-26 13:23:54] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.037 (8.037), Lt: 7.739 (7.739), Acc m&t: 0.71 0.97, Remain: 2 days, 13:16:22, Finish: 2024-11-28 10:40
[11-26 13:23:54] (/home/user/VAR/train.py , line 276)=> [ep3] (training ) Lm: 8.037 (8.037), Lt: 7.739 (7.739), Acc m&t: 0.71 0.97, Remain: 2 days, 13:15:59, Finish: 2024-11-28 10:39
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:10:33 tlr: 0.00014 tnm: 0.80 Lm: 7.989 (7.989) Lt: 7.666 (7.666) Accm: 0.86 (0.86) Acct: 1.00 (1.00) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0003
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:10:38 tlr: 0.00014 tnm: 0.80 Lm: 7.970 (7.970) Lt: 7.698 (7.698) Accm: 0.87 (0.87) Acct: 1.21 (1.21) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0003
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:10:34 tlr: 0.00014 tnm: 0.80 Lm: 7.958 (7.958) Lt: 7.634 (7.634) Accm: 0.95 (0.95) Acct: 1.26 (1.26) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0003
[11-26 13:23:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 0/1669] eta: 0:10:34 tlr: 0.00014 tnm: 0.80 Lm: 7.881 (7.881) Lt: 7.571 (7.571) Accm: 0.81 (0.81) Acct: 1.02 (1.02) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0004
[11-26 13:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:56 tlr: 0.00015 tnm: 1.08 Lm: 7.933 (7.933) Lt: 7.616 (7.616) Accm: 0.74 (0.74) Acct: 0.99 (0.99) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 13:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:56 tlr: 0.00015 tnm: 1.08 Lm: 7.984 (7.984) Lt: 7.701 (7.701) Accm: 0.71 (0.71) Acct: 0.99 (0.99) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 13:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:56 tlr: 0.00015 tnm: 1.08 Lm: 7.965 (7.965) Lt: 7.666 (7.666) Accm: 0.83 (0.83) Acct: 1.11 (1.11) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 13:26:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 417/1669] eta: 0:07:56 tlr: 0.00015 tnm: 1.08 Lm: 7.941 (7.941) Lt: 7.630 (7.630) Accm: 0.95 (0.95) Acct: 1.21 (1.21) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 13:29:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:05:17 tlr: 0.00015 tnm: 0.77 Lm: 7.945 (7.942) Lt: 7.660 (7.640) Accm: 0.86 (0.89) Acct: 1.07 (1.17) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 13:29:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:05:17 tlr: 0.00015 tnm: 0.77 Lm: 7.881 (7.906) Lt: 7.571 (7.596) Accm: 0.81 (0.83) Acct: 1.02 (1.08) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 13:29:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:05:17 tlr: 0.00015 tnm: 0.77 Lm: 7.970 (7.967) Lt: 7.698 (7.679) Accm: 0.87 (0.80) Acct: 1.21 (1.12) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 13:29:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [ 834/1669] eta: 0:05:17 tlr: 0.00015 tnm: 0.77 Lm: 7.958 (7.942) Lt: 7.634 (7.640) Accm: 0.79 (0.81) Acct: 1.08 (1.10) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 13:31:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.79 Lm: 7.928 (7.913) Lt: 7.611 (7.610) Accm: 0.83 (0.83) Acct: 1.12 (1.11) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0002
[11-26 13:31:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.79 Lm: 7.925 (7.922) Lt: 7.616 (7.612) Accm: 0.78 (0.81) Acct: 1.05 (1.08) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0002
[11-26 13:31:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.79 Lm: 7.962 (7.963) Lt: 7.667 (7.666) Accm: 0.83 (0.80) Acct: 1.21 (1.15) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0002
[11-26 13:31:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1251/1669] eta: 0:02:38 tlr: 0.00016 tnm: 0.79 Lm: 7.928 (7.934) Lt: 7.634 (7.632) Accm: 0.91 (0.91) Acct: 1.13 (1.17) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0002
[11-26 13:34:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.77 Lm: 7.912 (7.928) Lt: 7.619 (7.629) Accm: 0.86 (0.88) Acct: 1.07 (1.13) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0014
[11-26 13:34:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:34:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.77 Lm: 7.953 (7.939) Lt: 7.636 (7.644) Accm: 0.78 (0.79) Acct: 1.21 (1.09) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0015
[11-26 13:34:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.77 Lm: 7.946 (7.919) Lt: 7.634 (7.619) Accm: 0.79 (0.82) Acct: 1.08 (1.11) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0018
[11-26 13:34:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 4/350] [1668/1669] eta: 0:00:00 tlr: 0.00017 tnm: 0.77 Lm: 7.881 (7.912) Lt: 7.571 (7.604) Accm: 0.81 (0.84) Acct: 1.08 (1.17) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0016
[11-26 13:34:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:34:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:34:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 4/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:34:28] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 7.935 (7.935), Lt: 7.632 (7.632), Acc m&t: 0.80 1.08, Remain: 2 days, 13:17:13, Finish: 2024-11-28 10:51
[11-26 13:34:28] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 7.935 (7.935), Lt: 7.632 (7.632), Acc m&t: 0.80 1.08, Remain: 2 days, 13:19:18, Finish: 2024-11-28 10:53
[11-26 13:34:28] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 7.935 (7.935), Lt: 7.632 (7.632), Acc m&t: 0.80 1.08, Remain: 2 days, 13:18:02, Finish: 2024-11-28 10:52
[11-26 13:34:28] (/home/user/VAR/train.py , line 276)=> [ep4] (training ) Lm: 7.935 (7.935), Lt: 7.632 (7.632), Acc m&t: 0.80 1.08, Remain: 2 days, 13:16:18, Finish: 2024-11-28 10:50
[11-26 13:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:10:30 tlr: 0.00017 tnm: 0.74 Lm: 7.861 (7.861) Lt: 7.592 (7.592) Accm: 0.79 (0.79) Acct: 1.27 (1.27) proj_loss: 0.0000 (0.0000) time: 0.3775 data: 0.0003
[11-26 13:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:10:30 tlr: 0.00017 tnm: 0.74 Lm: 7.932 (7.932) Lt: 7.627 (7.627) Accm: 0.72 (0.72) Acct: 0.98 (0.98) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0004
[11-26 13:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:10:30 tlr: 0.00017 tnm: 0.74 Lm: 7.721 (7.721) Lt: 7.435 (7.435) Accm: 1.00 (1.00) Acct: 1.26 (1.26) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0003
[11-26 13:34:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 0/1669] eta: 0:10:30 tlr: 0.00017 tnm: 0.74 Lm: 7.865 (7.865) Lt: 7.561 (7.561) Accm: 1.02 (1.02) Acct: 1.41 (1.41) proj_loss: 0.0000 (0.0000) time: 0.3778 data: 0.0004
[11-26 13:37:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:08:26 tlr: 0.00018 tnm: 0.83 Lm: 7.864 (7.864) Lt: 7.553 (7.553) Accm: 0.95 (0.95) Acct: 1.26 (1.26) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 13:37:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:08:26 tlr: 0.00018 tnm: 0.83 Lm: 7.890 (7.890) Lt: 7.583 (7.583) Accm: 0.85 (0.85) Acct: 1.10 (1.10) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 13:37:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:08:26 tlr: 0.00018 tnm: 0.83 Lm: 7.745 (7.745) Lt: 7.443 (7.443) Accm: 0.97 (0.97) Acct: 1.24 (1.24) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0003
[11-26 13:37:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 417/1669] eta: 0:08:26 tlr: 0.00018 tnm: 0.83 Lm: 7.871 (7.871) Lt: 7.580 (7.580) Accm: 0.82 (0.82) Acct: 1.20 (1.20) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 13:39:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:05:27 tlr: 0.00019 tnm: 0.79 Lm: 7.861 (7.863) Lt: 7.569 (7.559) Accm: 0.84 (0.84) Acct: 1.27 (1.22) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 13:39:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:05:27 tlr: 0.00019 tnm: 0.79 Lm: 7.863 (7.855) Lt: 7.544 (7.531) Accm: 0.91 (0.93) Acct: 1.34 (1.29) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 13:39:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:05:27 tlr: 0.00019 tnm: 0.79 Lm: 7.848 (7.865) Lt: 7.538 (7.540) Accm: 0.98 (0.91) Acct: 1.22 (1.21) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 13:39:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [ 834/1669] eta: 0:05:27 tlr: 0.00019 tnm: 0.79 Lm: 7.769 (7.770) Lt: 7.451 (7.466) Accm: 0.95 (0.93) Acct: 1.22 (1.20) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 13:42:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:42 tlr: 0.0002 tnm: 0.69 Lm: 7.759 (7.765) Lt: 7.453 (7.464) Accm: 0.97 (0.95) Acct: 1.24 (1.26) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 13:42:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:42 tlr: 0.0002 tnm: 0.69 Lm: 7.831 (7.841) Lt: 7.508 (7.524) Accm: 0.94 (0.90) Acct: 1.26 (1.23) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 13:42:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:42 tlr: 0.0002 tnm: 0.69 Lm: 7.850 (7.831) Lt: 7.516 (7.508) Accm: 0.97 (0.97) Acct: 1.38 (1.37) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 13:42:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1251/1669] eta: 0:02:42 tlr: 0.0002 tnm: 0.69 Lm: 7.855 (7.839) Lt: 7.542 (7.528) Accm: 0.86 (0.88) Acct: 1.27 (1.29) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.81 Lm: 7.848 (7.830) Lt: 7.516 (7.514) Accm: 0.85 (0.88) Acct: 1.27 (1.28) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0014
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:10:44 (0.386 s / it)
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.81 Lm: 7.813 (7.835) Lt: 7.505 (7.520) Accm: 0.90 (0.87) Acct: 1.22 (1.17) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0014
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.81 Lm: 7.837 (7.824) Lt: 7.489 (7.503) Accm: 0.91 (0.94) Acct: 1.34 (1.35) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0018
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 5/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.81 Lm: 7.749 (7.760) Lt: 7.452 (7.461) Accm: 0.98 (0.95) Acct: 1.26 (1.27) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0018
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:10:44 (0.386 s / it)
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:10:44 (0.386 s / it)
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 5/350] Total time: 0:10:44 (0.386 s / it)
[11-26 13:45:13] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.816 (7.816), Lt: 7.503 (7.503), Acc m&t: 0.90 1.23, Remain: 2 days, 13:09:28, Finish: 2024-11-28 10:54
[11-26 13:45:13] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.816 (7.816), Lt: 7.503 (7.503), Acc m&t: 0.90 1.23, Remain: 2 days, 13:10:39, Finish: 2024-11-28 10:55
[11-26 13:45:13] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.816 (7.816), Lt: 7.503 (7.503), Acc m&t: 0.90 1.23, Remain: 2 days, 13:09:24, Finish: 2024-11-28 10:54
[11-26 13:45:13] (/home/user/VAR/train.py , line 276)=> [ep5] (training ) Lm: 7.816 (7.816), Lt: 7.503 (7.503), Acc m&t: 0.90 1.23, Remain: 2 days, 13:10:40, Finish: 2024-11-28 10:55
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:10:29 tlr: 0.00021 tnm: 0.78 Lm: 7.769 (7.769) Lt: 7.422 (7.422) Accm: 1.12 (1.12) Acct: 1.50 (1.50) proj_loss: 0.0000 (0.0000) time: 0.3773 data: 0.0003
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.78 Lm: 7.788 (7.788) Lt: 7.477 (7.477) Accm: 1.05 (1.05) Acct: 1.55 (1.55) proj_loss: 0.0000 (0.0000) time: 0.3775 data: 0.0003
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.78 Lm: 7.785 (7.785) Lt: 7.442 (7.442) Accm: 0.95 (0.95) Acct: 1.39 (1.39) proj_loss: 0.0000 (0.0000) time: 0.3780 data: 0.0003
[11-26 13:45:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.78 Lm: 7.774 (7.774) Lt: 7.477 (7.477) Accm: 0.98 (0.98) Acct: 1.31 (1.31) proj_loss: 0.0000 (0.0000) time: 0.3779 data: 0.0003
[11-26 13:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:55 tlr: 0.00021 tnm: 0.69 Lm: 7.693 (7.693) Lt: 7.361 (7.361) Accm: 1.04 (1.04) Acct: 1.40 (1.40) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 13:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:55 tlr: 0.00021 tnm: 0.69 Lm: 7.790 (7.790) Lt: 7.441 (7.441) Accm: 0.83 (0.83) Acct: 1.23 (1.23) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 13:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:55 tlr: 0.00021 tnm: 0.69 Lm: 7.758 (7.758) Lt: 7.427 (7.427) Accm: 0.99 (0.99) Acct: 1.45 (1.45) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 13:47:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 417/1669] eta: 0:07:55 tlr: 0.00021 tnm: 0.69 Lm: 7.711 (7.711) Lt: 7.356 (7.356) Accm: 1.05 (1.05) Acct: 1.48 (1.48) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 13:50:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.59 Lm: 7.653 (7.682) Lt: 7.291 (7.334) Accm: 1.12 (1.09) Acct: 1.50 (1.49) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:50:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.59 Lm: 7.729 (7.740) Lt: 7.376 (7.396) Accm: 1.01 (1.00) Acct: 1.50 (1.47) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:50:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.59 Lm: 7.619 (7.668) Lt: 7.245 (7.312) Accm: 1.10 (1.08) Acct: 1.50 (1.48) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:50:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.59 Lm: 7.785 (7.761) Lt: 7.439 (7.416) Accm: 0.95 (0.87) Acct: 1.29 (1.25) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:38 tlr: 0.00023 tnm: 0.78 Lm: 7.746 (7.748) Lt: 7.404 (7.403) Accm: 0.95 (0.89) Acct: 1.25 (1.24) proj_loss: 0.0000 (0.0000) time: 0.3795 data: 0.0002
[11-26 13:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:38 tlr: 0.00023 tnm: 0.78 Lm: 7.620 (7.657) Lt: 7.230 (7.287) Accm: 1.10 (1.08) Acct: 1.57 (1.55) proj_loss: 0.0000 (0.0000) time: 0.3795 data: 0.0002
[11-26 13:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:38 tlr: 0.00023 tnm: 0.78 Lm: 7.716 (7.727) Lt: 7.355 (7.380) Accm: 0.98 (0.99) Acct: 1.43 (1.44) proj_loss: 0.0000 (0.0000) time: 0.3795 data: 0.0002
[11-26 13:53:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1251/1669] eta: 0:02:38 tlr: 0.00023 tnm: 0.78 Lm: 7.638 (7.661) Lt: 7.290 (7.302) Accm: 1.14 (1.11) Acct: 1.51 (1.55) proj_loss: 0.0000 (0.0000) time: 0.3795 data: 0.0002
[11-26 13:55:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.69 Lm: 7.623 (7.650) Lt: 7.290 (7.283) Accm: 1.12 (1.10) Acct: 1.50 (1.52) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0018
[11-26 13:55:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:55:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.69 Lm: 7.702 (7.708) Lt: 7.335 (7.356) Accm: 1.01 (1.02) Acct: 1.45 (1.44) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0019
[11-26 13:55:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.69 Lm: 7.621 (7.668) Lt: 7.245 (7.299) Accm: 1.10 (1.07) Acct: 1.50 (1.53) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0018
[11-26 13:55:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 6/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.69 Lm: 7.707 (7.710) Lt: 7.368 (7.354) Accm: 0.95 (0.95) Acct: 1.29 (1.36) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0016
[11-26 13:55:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:55:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:55:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 6/350] Total time: 0:10:34 (0.380 s / it)
[11-26 13:55:47] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.667 (7.667), Lt: 7.305 (7.305), Acc m&t: 1.08 1.50, Remain: 2 days, 13:03:10, Finish: 2024-11-28 10:58
[11-26 13:55:47] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.667 (7.667), Lt: 7.305 (7.305), Acc m&t: 1.08 1.50, Remain: 2 days, 13:03:28, Finish: 2024-11-28 10:59
[11-26 13:55:47] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.667 (7.667), Lt: 7.305 (7.305), Acc m&t: 1.08 1.50, Remain: 2 days, 13:03:05, Finish: 2024-11-28 10:58
[11-26 13:55:47] (/home/user/VAR/train.py , line 276)=> [ep6] (training ) Lm: 7.667 (7.667), Lt: 7.305 (7.305), Acc m&t: 1.08 1.50, Remain: 2 days, 13:02:38, Finish: 2024-11-28 10:58
[11-26 13:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:10:37 tlr: 0.00024 tnm: 0.65 Lm: 7.528 (7.528) Lt: 7.099 (7.099) Accm: 1.17 (1.17) Acct: 1.55 (1.55) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0003
[11-26 13:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.65 Lm: 7.629 (7.629) Lt: 7.245 (7.245) Accm: 1.06 (1.06) Acct: 1.45 (1.45) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0004
[11-26 13:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.65 Lm: 7.531 (7.531) Lt: 7.123 (7.123) Accm: 1.20 (1.20) Acct: 1.46 (1.46) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0004
[11-26 13:55:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 0/1669] eta: 0:10:36 tlr: 0.00024 tnm: 0.65 Lm: 7.590 (7.590) Lt: 7.147 (7.147) Accm: 1.17 (1.17) Acct: 1.76 (1.76) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0003
[11-26 13:58:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.57 Lm: 7.562 (7.562) Lt: 7.147 (7.147) Accm: 1.19 (1.19) Acct: 1.72 (1.72) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:58:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.57 Lm: 7.548 (7.548) Lt: 7.135 (7.135) Accm: 1.21 (1.21) Acct: 1.70 (1.70) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:58:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.57 Lm: 7.502 (7.502) Lt: 7.107 (7.107) Accm: 1.37 (1.37) Acct: 1.75 (1.75) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 13:58:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.57 Lm: 7.570 (7.570) Lt: 7.180 (7.180) Accm: 1.18 (1.18) Acct: 1.63 (1.63) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 14:01:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.71 Lm: 7.590 (7.585) Lt: 7.147 (7.172) Accm: 1.17 (1.18) Acct: 1.69 (1.70) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0002
[11-26 14:01:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.71 Lm: 7.528 (7.518) Lt: 7.099 (7.100) Accm: 1.24 (1.27) Acct: 1.84 (1.78) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0002
[11-26 14:01:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.71 Lm: 7.531 (7.525) Lt: 7.123 (7.119) Accm: 1.20 (1.23) Acct: 1.46 (1.64) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0002
[11-26 14:01:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.71 Lm: 7.560 (7.566) Lt: 7.122 (7.161) Accm: 1.19 (1.18) Acct: 1.57 (1.61) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0002
[11-26 14:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.74 Lm: 7.535 (7.540) Lt: 7.119 (7.119) Accm: 1.24 (1.22) Acct: 1.69 (1.67) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 14:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.74 Lm: 7.577 (7.580) Lt: 7.147 (7.160) Accm: 1.17 (1.17) Acct: 1.68 (1.70) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 14:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.74 Lm: 7.502 (7.473) Lt: 7.107 (7.059) Accm: 1.29 (1.26) Acct: 1.70 (1.72) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 14:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.74 Lm: 7.493 (7.502) Lt: 7.064 (7.071) Accm: 1.30 (1.29) Acct: 1.89 (1.82) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 14:06:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.506 (7.503) Lt: 7.039 (7.065) Accm: 1.29 (1.29) Acct: 1.95 (1.87) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0015
[11-26 14:06:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:47 (0.388 s / it)
[11-26 14:06:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.563 (7.565) Lt: 7.146 (7.141) Accm: 1.17 (1.18) Acct: 1.69 (1.73) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0017
[11-26 14:06:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.510 (7.515) Lt: 7.115 (7.082) Accm: 1.29 (1.28) Acct: 1.81 (1.80) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0020
[11-26 14:06:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 7/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.60 Lm: 7.473 (7.450) Lt: 7.091 (7.030) Accm: 1.37 (1.30) Acct: 1.95 (1.81) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0014
[11-26 14:06:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:47 (0.388 s / it)
[11-26 14:06:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:47 (0.388 s / it)
[11-26 14:06:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 7/350] Total time: 0:10:47 (0.388 s / it)
[11-26 14:06:35] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.499 (7.499), Lt: 7.057 (7.057), Acc m&t: 1.29 1.86, Remain: 2 days, 12:41:00, Finish: 2024-11-28 10:47
[11-26 14:06:35] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.499 (7.499), Lt: 7.057 (7.057), Acc m&t: 1.29 1.86, Remain: 2 days, 12:40:15, Finish: 2024-11-28 10:46
[11-26 14:06:35] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.499 (7.499), Lt: 7.057 (7.057), Acc m&t: 1.29 1.86, Remain: 2 days, 12:40:34, Finish: 2024-11-28 10:47
[11-26 14:06:35] (/home/user/VAR/train.py , line 276)=> [ep7] (training ) Lm: 7.499 (7.499), Lt: 7.057 (7.057), Acc m&t: 1.29 1.86, Remain: 2 days, 12:42:10, Finish: 2024-11-28 10:48
[11-26 14:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:10:34 tlr: 0.00024 tnm: 0.61 Lm: 7.443 (7.443) Lt: 6.940 (6.940) Accm: 1.35 (1.35) Acct: 2.01 (2.01) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0003
[11-26 14:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:10:34 tlr: 0.00024 tnm: 0.61 Lm: 7.477 (7.477) Lt: 7.001 (7.001) Accm: 1.44 (1.44) Acct: 2.15 (2.15) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0003
[11-26 14:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:10:34 tlr: 0.00024 tnm: 0.61 Lm: 7.304 (7.304) Lt: 6.784 (6.784) Accm: 1.41 (1.41) Acct: 2.20 (2.20) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0003
[11-26 14:06:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.61 Lm: 7.394 (7.394) Lt: 6.902 (6.902) Accm: 1.28 (1.28) Acct: 1.81 (1.81) proj_loss: 0.0000 (0.0000) time: 0.3758 data: 0.0003
[11-26 14:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.61 Lm: 7.375 (7.375) Lt: 6.891 (6.891) Accm: 1.45 (1.45) Acct: 2.09 (2.09) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 14:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.61 Lm: 7.483 (7.483) Lt: 7.001 (7.001) Accm: 1.38 (1.38) Acct: 2.02 (2.02) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 14:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.61 Lm: 7.362 (7.362) Lt: 6.858 (6.858) Accm: 1.45 (1.45) Acct: 2.11 (2.11) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 14:09:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.61 Lm: 7.319 (7.319) Lt: 6.796 (6.796) Accm: 1.51 (1.51) Acct: 2.25 (2.25) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 14:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.61 Lm: 7.334 (7.351) Lt: 6.808 (6.834) Accm: 1.41 (1.43) Acct: 2.20 (2.09) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 14:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.61 Lm: 7.477 (7.423) Lt: 7.001 (6.921) Accm: 1.44 (1.41) Acct: 2.15 (2.07) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 14:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.61 Lm: 7.397 (7.373) Lt: 6.935 (6.884) Accm: 1.35 (1.40) Acct: 2.01 (2.00) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 14:11:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.61 Lm: 7.356 (7.358) Lt: 6.880 (6.866) Accm: 1.34 (1.42) Acct: 2.12 (2.10) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 14:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.52 Lm: 7.375 (7.374) Lt: 6.886 (6.872) Accm: 1.31 (1.38) Acct: 1.97 (2.03) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 14:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.52 Lm: 7.400 (7.381) Lt: 6.934 (6.896) Accm: 1.36 (1.39) Acct: 2.08 (2.04) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 14:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.52 Lm: 7.423 (7.410) Lt: 6.947 (6.914) Accm: 1.38 (1.37) Acct: 2.02 (1.97) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 14:14:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.52 Lm: 7.319 (7.333) Lt: 6.796 (6.806) Accm: 1.51 (1.50) Acct: 2.25 (2.24) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 14:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.333 (7.333) Lt: 6.785 (6.802) Accm: 1.52 (1.51) Acct: 2.20 (2.21) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0017
[11-26 14:17:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.397 (7.367) Lt: 6.934 (6.874) Accm: 1.37 (1.44) Acct: 2.15 (2.09) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0015
[11-26 14:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.370 (7.368) Lt: 6.893 (6.866) Accm: 1.44 (1.48) Acct: 2.15 (2.16) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0016
[11-26 14:17:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 8/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.356 (7.357) Lt: 6.880 (6.847) Accm: 1.34 (1.40) Acct: 2.12 (2.08) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0019
[11-26 14:17:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:17:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:17:10] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 8/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:17:10] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.380 (7.380), Lt: 6.879 (6.879), Acc m&t: 1.47 2.17, Remain: 2 days, 12:33:50, Finish: 2024-11-28 10:51
[11-26 14:17:10] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.380 (7.380), Lt: 6.879 (6.879), Acc m&t: 1.47 2.17, Remain: 2 days, 12:32:28, Finish: 2024-11-28 10:49
[11-26 14:17:10] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.380 (7.380), Lt: 6.879 (6.879), Acc m&t: 1.47 2.17, Remain: 2 days, 12:33:18, Finish: 2024-11-28 10:50
[11-26 14:17:10] (/home/user/VAR/train.py , line 276)=> [ep8] (training ) Lm: 7.380 (7.380), Lt: 6.879 (6.879), Acc m&t: 1.47 2.17, Remain: 2 days, 12:33:16, Finish: 2024-11-28 10:50
[11-26 14:17:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:10:22 tlr: 0.00024 tnm: 0.56 Lm: 7.340 (7.340) Lt: 6.826 (6.826) Accm: 1.73 (1.73) Acct: 2.67 (2.67) proj_loss: 0.0000 (0.0000) time: 0.3732 data: 0.0003
[11-26 14:17:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:10:23 tlr: 0.00024 tnm: 0.56 Lm: 7.273 (7.273) Lt: 6.740 (6.740) Accm: 1.57 (1.57) Acct: 2.48 (2.48) proj_loss: 0.0000 (0.0000) time: 0.3734 data: 0.0004
[11-26 14:17:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:10:23 tlr: 0.00024 tnm: 0.56 Lm: 7.338 (7.338) Lt: 6.840 (6.840) Accm: 1.67 (1.67) Acct: 2.51 (2.51) proj_loss: 0.0000 (0.0000) time: 0.3736 data: 0.0003
[11-26 14:17:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 0/1669] eta: 0:10:22 tlr: 0.00024 tnm: 0.56 Lm: 7.304 (7.304) Lt: 6.769 (6.769) Accm: 1.74 (1.74) Acct: 2.53 (2.53) proj_loss: 0.0000 (0.0000) time: 0.3729 data: 0.0003
[11-26 14:19:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.78 Lm: 7.340 (7.340) Lt: 6.829 (6.829) Accm: 1.66 (1.66) Acct: 2.43 (2.43) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 14:19:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.78 Lm: 7.284 (7.284) Lt: 6.738 (6.738) Accm: 1.63 (1.63) Acct: 2.50 (2.50) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 14:19:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.78 Lm: 7.317 (7.317) Lt: 6.767 (6.767) Accm: 1.72 (1.72) Acct: 2.53 (2.53) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 14:19:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.78 Lm: 7.335 (7.335) Lt: 6.848 (6.848) Accm: 1.53 (1.53) Acct: 2.35 (2.35) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 14:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.57 Lm: 7.332 (7.305) Lt: 6.840 (6.808) Accm: 1.67 (1.59) Acct: 2.51 (2.43) proj_loss: 0.0000 (0.0000) time: 0.3795 data: 0.0002
[11-26 14:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.57 Lm: 7.339 (7.317) Lt: 6.826 (6.803) Accm: 1.60 (1.62) Acct: 2.36 (2.40) proj_loss: 0.0000 (0.0000) time: 0.3795 data: 0.0002
[11-26 14:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.57 Lm: 7.304 (7.309) Lt: 6.765 (6.767) Accm: 1.69 (1.65) Acct: 2.53 (2.47) proj_loss: 0.0000 (0.0000) time: 0.3795 data: 0.0002
[11-26 14:22:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.57 Lm: 7.295 (7.319) Lt: 6.740 (6.783) Accm: 1.57 (1.58) Acct: 2.48 (2.46) proj_loss: 0.0000 (0.0000) time: 0.3795 data: 0.0002
[11-26 14:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.48 Lm: 7.307 (7.319) Lt: 6.748 (6.776) Accm: 1.58 (1.58) Acct: 2.47 (2.46) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 14:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.48 Lm: 7.298 (7.295) Lt: 6.784 (6.788) Accm: 1.65 (1.60) Acct: 2.47 (2.43) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 14:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.48 Lm: 7.298 (7.284) Lt: 6.765 (6.744) Accm: 1.67 (1.65) Acct: 2.45 (2.45) proj_loss: 0.0000 (0.0000) time: 0.3791 data: 0.0002
[11-26 14:25:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.48 Lm: 7.306 (7.299) Lt: 6.788 (6.774) Accm: 1.59 (1.62) Acct: 2.29 (2.36) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 14:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.58 Lm: 7.272 (7.290) Lt: 6.750 (6.761) Accm: 1.60 (1.62) Acct: 2.26 (2.34) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0016
[11-26 14:27:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.58 Lm: 7.315 (7.299) Lt: 6.781 (6.787) Accm: 1.63 (1.59) Acct: 2.43 (2.41) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0014
[11-26 14:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.58 Lm: 7.295 (7.300) Lt: 6.740 (6.760) Accm: 1.59 (1.58) Acct: 2.46 (2.40) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0020
[11-26 14:27:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 9/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.58 Lm: 7.292 (7.268) Lt: 6.765 (6.719) Accm: 1.68 (1.66) Acct: 2.53 (2.50) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0016
[11-26 14:27:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:27:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:27:44] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 9/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:31:30] (home/user/VAR/trainer.py, line 114)=> FID: 17.981580434717955
[11-26 14:31:31] (/home/user/VAR/train.py , line 259)=> [*] [ep9] (val 50000) Lm: 7.2793, Lt: 6.7369, Acc m&t: 1.64 2.46, Val cost: 225.77s
[11-26 14:31:31] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-26 14:31:56] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.279 (7.279), Lt: 6.737 (6.737), Acc m&t: 1.64 2.46, Remain: 2 days, 12:13:19, Finish: 2024-11-28 10:41
[11-26 14:31:56] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.279 (7.279), Lt: 6.737 (6.737), Acc m&t: 1.64 2.46, Remain: 2 days, 12:12:55, Finish: 2024-11-28 10:40
[11-26 14:31:56] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.279 (7.279), Lt: 6.737 (6.737), Acc m&t: 1.64 2.46, Remain: 2 days, 12:12:37, Finish: 2024-11-28 10:40
[11-26 14:31:56] (/home/user/VAR/train.py , line 276)=> [ep9] (training ) Lm: 7.279 (7.279), Lt: 6.737 (6.737), Acc m&t: 1.64 2.46, Remain: 2 days, 12:13:31, Finish: 2024-11-28 10:41
[11-26 14:31:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:28:41 tlr: 0.00024 tnm: 0.58 Lm: 7.268 (7.268) Lt: 6.751 (6.751) Accm: 1.65 (1.65) Acct: 2.15 (2.15) proj_loss: 0.0000 (0.0000) time: 1.0316 data: 0.0004
[11-26 14:31:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:28:41 tlr: 0.00024 tnm: 0.58 Lm: 7.372 (7.372) Lt: 6.853 (6.853) Accm: 1.49 (1.49) Acct: 2.07 (2.07) proj_loss: 0.0000 (0.0000) time: 1.0314 data: 0.0004
[11-26 14:31:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:28:41 tlr: 0.00024 tnm: 0.58 Lm: 7.248 (7.248) Lt: 6.658 (6.658) Accm: 1.80 (1.80) Acct: 2.58 (2.58) proj_loss: 0.0000 (0.0000) time: 1.0312 data: 0.0004
[11-26 14:31:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 0/1669] eta: 0:28:41 tlr: 0.00024 tnm: 0.58 Lm: 7.220 (7.220) Lt: 6.673 (6.673) Accm: 1.83 (1.83) Acct: 2.89 (2.89) proj_loss: 0.0000 (0.0000) time: 1.0312 data: 0.0003
[11-26 14:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:57 tlr: 0.00024 tnm: 0.50 Lm: 7.259 (7.259) Lt: 6.711 (6.711) Accm: 1.73 (1.73) Acct: 2.70 (2.70) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 14:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:57 tlr: 0.00024 tnm: 0.50 Lm: 7.245 (7.245) Lt: 6.668 (6.668) Accm: 1.79 (1.79) Acct: 2.56 (2.56) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 14:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:57 tlr: 0.00024 tnm: 0.50 Lm: 7.253 (7.253) Lt: 6.711 (6.711) Accm: 1.73 (1.73) Acct: 2.48 (2.48) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 14:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 417/1669] eta: 0:07:57 tlr: 0.00024 tnm: 0.50 Lm: 7.337 (7.337) Lt: 6.809 (6.809) Accm: 1.56 (1.56) Acct: 2.32 (2.32) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 14:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.55 Lm: 7.302 (7.286) Lt: 6.765 (6.741) Accm: 1.63 (1.58) Acct: 2.57 (2.41) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 14:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.55 Lm: 7.248 (7.252) Lt: 6.677 (6.700) Accm: 1.78 (1.75) Acct: 2.69 (2.55) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 14:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.55 Lm: 7.243 (7.217) Lt: 6.658 (6.637) Accm: 1.80 (1.81) Acct: 2.58 (2.67) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 14:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.55 Lm: 7.251 (7.256) Lt: 6.709 (6.711) Accm: 1.64 (1.70) Acct: 2.74 (2.71) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 14:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.53 Lm: 7.236 (7.241) Lt: 6.691 (6.678) Accm: 1.64 (1.68) Acct: 2.66 (2.68) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-26 14:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.53 Lm: 7.244 (7.216) Lt: 6.674 (6.654) Accm: 1.80 (1.81) Acct: 2.75 (2.66) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-26 14:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.53 Lm: 7.297 (7.288) Lt: 6.746 (6.737) Accm: 1.61 (1.59) Acct: 2.46 (2.40) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-26 14:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.53 Lm: 7.201 (7.196) Lt: 6.616 (6.601) Accm: 1.82 (1.84) Acct: 2.74 (2.73) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-26 14:42:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.243 (7.208) Lt: 6.658 (6.613) Accm: 1.80 (1.79) Acct: 2.69 (2.72) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0017
[11-26 14:42:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:10:35 (0.381 s / it)
[11-26 14:42:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.227 (7.238) Lt: 6.673 (6.669) Accm: 1.64 (1.70) Acct: 2.74 (2.73) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0017
[11-26 14:42:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.248 (7.223) Lt: 6.677 (6.663) Accm: 1.78 (1.77) Acct: 2.69 (2.63) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0018
[11-26 14:42:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 10/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.52 Lm: 7.293 (7.246) Lt: 6.728 (6.678) Accm: 1.63 (1.63) Acct: 2.57 (2.50) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0019
[11-26 14:42:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:10:35 (0.381 s / it)
[11-26 14:42:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:10:35 (0.381 s / it)
[11-26 14:42:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 10/350] Total time: 0:10:35 (0.381 s / it)
[11-26 14:42:31] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.212 (7.212), Lt: 6.639 (6.639), Acc m&t: 1.75 2.67, Remain: 2 days, 12:09:28, Finish: 2024-11-28 10:52
[11-26 14:42:31] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.212 (7.212), Lt: 6.639 (6.639), Acc m&t: 1.75 2.67, Remain: 2 days, 12:09:59, Finish: 2024-11-28 10:52
[11-26 14:42:31] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.212 (7.212), Lt: 6.639 (6.639), Acc m&t: 1.75 2.67, Remain: 2 days, 12:10:05, Finish: 2024-11-28 10:52
[11-26 14:42:31] (/home/user/VAR/train.py , line 276)=> [ep10] (training ) Lm: 7.212 (7.212), Lt: 6.639 (6.639), Acc m&t: 1.75 2.67, Remain: 2 days, 12:10:45, Finish: 2024-11-28 10:53
[11-26 14:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:11:05 tlr: 0.00024 tnm: 0.49 Lm: 7.302 (7.302) Lt: 6.754 (6.754) Accm: 1.60 (1.60) Acct: 2.44 (2.44) proj_loss: 0.0000 (0.0000) time: 0.3987 data: 0.0004
[11-26 14:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:10:16 tlr: 0.00024 tnm: 0.49 Lm: 7.138 (7.138) Lt: 6.604 (6.604) Accm: 2.08 (2.08) Acct: 3.32 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3696 data: 0.0003
[11-26 14:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:10:16 tlr: 0.00024 tnm: 0.49 Lm: 7.192 (7.192) Lt: 6.576 (6.576) Accm: 1.84 (1.84) Acct: 2.70 (2.70) proj_loss: 0.0000 (0.0000) time: 0.3693 data: 0.0003
[11-26 14:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 0/1669] eta: 0:10:14 tlr: 0.00024 tnm: 0.49 Lm: 7.157 (7.157) Lt: 6.562 (6.562) Accm: 1.89 (1.89) Acct: 2.81 (2.81) proj_loss: 0.0000 (0.0000) time: 0.3681 data: 0.0004
[11-26 14:45:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.54 Lm: 7.137 (7.137) Lt: 6.571 (6.571) Accm: 1.91 (1.91) Acct: 2.93 (2.93) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 14:45:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.54 Lm: 7.183 (7.183) Lt: 6.601 (6.601) Accm: 1.85 (1.85) Acct: 2.63 (2.63) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 14:45:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.54 Lm: 7.178 (7.178) Lt: 6.608 (6.608) Accm: 1.94 (1.94) Acct: 3.06 (3.06) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 14:45:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.54 Lm: 7.197 (7.197) Lt: 6.636 (6.636) Accm: 1.88 (1.88) Acct: 2.94 (2.94) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 14:47:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.54 Lm: 7.233 (7.209) Lt: 6.640 (6.637) Accm: 1.60 (1.76) Acct: 2.44 (2.63) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 14:47:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.54 Lm: 7.154 (7.170) Lt: 6.604 (6.589) Accm: 1.82 (1.90) Acct: 2.96 (3.02) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 14:47:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.54 Lm: 7.127 (7.134) Lt: 6.562 (6.559) Accm: 1.89 (1.85) Acct: 2.81 (2.74) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0003
[11-26 14:47:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.54 Lm: 7.192 (7.200) Lt: 6.627 (6.624) Accm: 1.84 (1.78) Acct: 2.65 (2.63) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 14:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.50 Lm: 7.189 (7.196) Lt: 6.617 (6.620) Accm: 1.82 (1.79) Acct: 2.68 (2.69) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 14:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.50 Lm: 7.142 (7.148) Lt: 6.564 (6.561) Accm: 1.84 (1.84) Acct: 2.75 (2.72) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 14:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.50 Lm: 7.146 (7.153) Lt: 6.578 (6.563) Accm: 1.85 (1.90) Acct: 2.96 (3.01) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0003
[11-26 14:50:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.50 Lm: 7.162 (7.156) Lt: 6.579 (6.583) Accm: 1.86 (1.85) Acct: 2.88 (2.80) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 14:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.57 Lm: 7.091 (7.140) Lt: 6.518 (6.564) Accm: 1.95 (1.87) Acct: 3.17 (2.88) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0022
[11-26 14:53:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.57 Lm: 7.154 (7.173) Lt: 6.604 (6.577) Accm: 1.82 (1.84) Acct: 2.96 (2.93) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0018
[11-26 14:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.57 Lm: 7.186 (7.179) Lt: 6.607 (6.590) Accm: 1.80 (1.77) Acct: 2.70 (2.74) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0017
[11-26 14:53:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 11/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.57 Lm: 7.157 (7.152) Lt: 6.562 (6.559) Accm: 1.80 (1.83) Acct: 2.81 (2.76) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0015
[11-26 14:53:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:53:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:53:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 11/350] Total time: 0:10:34 (0.380 s / it)
[11-26 14:53:06] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.182 (7.182), Lt: 6.596 (6.596), Acc m&t: 1.79 2.75, Remain: 2 days, 12:01:39, Finish: 2024-11-28 10:54
[11-26 14:53:06] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.182 (7.182), Lt: 6.596 (6.596), Acc m&t: 1.79 2.75, Remain: 2 days, 12:00:39, Finish: 2024-11-28 10:53
[11-26 14:53:06] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.182 (7.182), Lt: 6.596 (6.596), Acc m&t: 1.79 2.75, Remain: 2 days, 12:01:31, Finish: 2024-11-28 10:54
[11-26 14:53:06] (/home/user/VAR/train.py , line 276)=> [ep11] (training ) Lm: 7.182 (7.182), Lt: 6.596 (6.596), Acc m&t: 1.79 2.75, Remain: 2 days, 12:02:19, Finish: 2024-11-28 10:55
[11-26 14:53:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:31 tlr: 0.00024 tnm: 0.55 Lm: 7.213 (7.213) Lt: 6.665 (6.665) Accm: 1.81 (1.81) Acct: 2.74 (2.74) proj_loss: 0.0000 (0.0000) time: 0.3783 data: 0.0003
[11-26 14:53:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:31 tlr: 0.00024 tnm: 0.55 Lm: 7.174 (7.174) Lt: 6.618 (6.618) Accm: 1.83 (1.83) Acct: 2.75 (2.75) proj_loss: 0.0000 (0.0000) time: 0.3786 data: 0.0003
[11-26 14:53:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:32 tlr: 0.00024 tnm: 0.55 Lm: 7.211 (7.211) Lt: 6.592 (6.592) Accm: 1.75 (1.75) Acct: 2.44 (2.44) proj_loss: 0.0000 (0.0000) time: 0.3787 data: 0.0004
[11-26 14:53:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 0/1669] eta: 0:10:31 tlr: 0.00024 tnm: 0.55 Lm: 7.116 (7.116) Lt: 6.499 (6.499) Accm: 1.89 (1.89) Acct: 3.10 (3.10) proj_loss: 0.0000 (0.0000) time: 0.3782 data: 0.0004
[11-26 14:55:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.51 Lm: 7.094 (7.094) Lt: 6.490 (6.490) Accm: 1.99 (1.99) Acct: 3.01 (3.01) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 14:55:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.51 Lm: 7.196 (7.196) Lt: 6.586 (6.586) Accm: 1.70 (1.70) Acct: 2.50 (2.50) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 14:55:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.51 Lm: 7.193 (7.193) Lt: 6.614 (6.614) Accm: 1.80 (1.80) Acct: 2.74 (2.74) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 14:55:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.51 Lm: 7.207 (7.207) Lt: 6.609 (6.609) Accm: 1.78 (1.78) Acct: 2.75 (2.75) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 14:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.47 Lm: 7.202 (7.191) Lt: 6.552 (6.586) Accm: 1.81 (1.82) Acct: 2.77 (2.78) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 14:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.47 Lm: 7.180 (7.165) Lt: 6.581 (6.571) Accm: 1.75 (1.73) Acct: 2.55 (2.58) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 14:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.47 Lm: 7.211 (7.199) Lt: 6.618 (6.625) Accm: 1.78 (1.79) Acct: 2.72 (2.69) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 14:58:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.47 Lm: 7.116 (7.123) Lt: 6.499 (6.501) Accm: 1.89 (1.87) Acct: 2.93 (2.91) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 15:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.59 Lm: 7.120 (7.123) Lt: 6.508 (6.505) Accm: 1.81 (1.84) Acct: 2.82 (2.84) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.59 Lm: 7.180 (7.169) Lt: 6.547 (6.567) Accm: 1.85 (1.89) Acct: 2.80 (2.85) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.59 Lm: 7.183 (7.170) Lt: 6.586 (6.593) Accm: 1.77 (1.79) Acct: 2.65 (2.67) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.59 Lm: 7.193 (7.193) Lt: 6.614 (6.606) Accm: 1.78 (1.78) Acct: 2.74 (2.73) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.57 Lm: 7.174 (7.166) Lt: 6.610 (6.570) Accm: 1.78 (1.82) Acct: 2.75 (2.78) proj_loss: 0.0000 (0.0000) time: 0.6224 data: 0.0015
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:47 (0.388 s / it)
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.57 Lm: 7.180 (7.149) Lt: 6.581 (6.563) Accm: 1.79 (1.85) Acct: 2.75 (2.77) proj_loss: 0.0000 (0.0000) time: 0.6224 data: 0.0015
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.57 Lm: 7.157 (7.160) Lt: 6.542 (6.558) Accm: 1.89 (1.90) Acct: 2.77 (2.83) proj_loss: 0.0000 (0.0000) time: 0.6224 data: 0.0016
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 12/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.57 Lm: 7.116 (7.102) Lt: 6.499 (6.485) Accm: 1.89 (1.87) Acct: 2.88 (2.84) proj_loss: 0.0000 (0.0000) time: 0.6224 data: 0.0019
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:47 (0.388 s / it)
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:47 (0.388 s / it)
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 12/350] Total time: 0:10:47 (0.388 s / it)
[11-26 15:03:54] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.146 (7.146), Lt: 6.544 (6.544), Acc m&t: 1.88 2.88, Remain: 2 days, 11:48:20, Finish: 2024-11-28 10:52
[11-26 15:03:54] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.146 (7.146), Lt: 6.544 (6.544), Acc m&t: 1.88 2.88, Remain: 2 days, 11:47:32, Finish: 2024-11-28 10:51
[11-26 15:03:54] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.146 (7.146), Lt: 6.544 (6.544), Acc m&t: 1.88 2.88, Remain: 2 days, 11:46:51, Finish: 2024-11-28 10:50
[11-26 15:03:54] (/home/user/VAR/train.py , line 276)=> [ep12] (training ) Lm: 7.146 (7.146), Lt: 6.544 (6.544), Acc m&t: 1.88 2.88, Remain: 2 days, 11:49:31, Finish: 2024-11-28 10:53
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:10:34 tlr: 0.00024 tnm: 0.51 Lm: 7.190 (7.190) Lt: 6.611 (6.611) Accm: 1.83 (1.83) Acct: 2.79 (2.79) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0003
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.51 Lm: 7.069 (7.069) Lt: 6.404 (6.404) Accm: 2.03 (2.03) Acct: 3.03 (3.03) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0004
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.51 Lm: 7.134 (7.134) Lt: 6.533 (6.533) Accm: 1.74 (1.74) Acct: 2.81 (2.81) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0003
[11-26 15:03:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 0/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.51 Lm: 7.166 (7.166) Lt: 6.530 (6.530) Accm: 1.92 (1.92) Acct: 3.00 (3.00) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0003
[11-26 15:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.50 Lm: 7.137 (7.137) Lt: 6.506 (6.506) Accm: 1.92 (1.92) Acct: 3.01 (3.01) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 15:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.50 Lm: 7.075 (7.075) Lt: 6.462 (6.462) Accm: 2.03 (2.03) Acct: 3.06 (3.06) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 15:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.50 Lm: 7.085 (7.085) Lt: 6.477 (6.477) Accm: 1.93 (1.93) Acct: 2.96 (2.96) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 15:06:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.50 Lm: 7.144 (7.144) Lt: 6.523 (6.523) Accm: 1.87 (1.87) Acct: 3.00 (3.00) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 15:09:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.46 Lm: 7.122 (7.137) Lt: 6.472 (6.506) Accm: 1.92 (1.94) Acct: 3.22 (3.10) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:09:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.46 Lm: 7.069 (7.068) Lt: 6.455 (6.460) Accm: 2.03 (2.03) Acct: 3.03 (3.01) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:09:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.46 Lm: 7.134 (7.106) Lt: 6.531 (6.495) Accm: 1.94 (1.93) Acct: 3.01 (2.98) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:09:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.46 Lm: 7.108 (7.112) Lt: 6.491 (6.501) Accm: 1.92 (1.98) Acct: 3.03 (3.12) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:11:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.51 Lm: 7.085 (7.084) Lt: 6.486 (6.472) Accm: 2.01 (2.06) Acct: 3.18 (3.17) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 15:11:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.51 Lm: 7.075 (7.096) Lt: 6.488 (6.483) Accm: 2.03 (1.98) Acct: 3.03 (3.02) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 15:11:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.51 Lm: 7.085 (7.085) Lt: 6.475 (6.473) Accm: 1.98 (1.96) Acct: 3.06 (3.02) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 15:11:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.51 Lm: 7.110 (7.115) Lt: 6.468 (6.495) Accm: 1.89 (1.92) Acct: 3.14 (3.09) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.107 (7.113) Lt: 6.472 (6.492) Accm: 1.92 (1.94) Acct: 3.22 (3.12) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0017
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:10:34 (0.380 s / it)
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.134 (7.126) Lt: 6.531 (6.533) Accm: 1.94 (1.87) Acct: 3.01 (2.85) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0014
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.080 (7.099) Lt: 6.464 (6.479) Accm: 2.03 (2.00) Acct: 3.03 (3.06) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0017
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 13/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.108 (7.092) Lt: 6.491 (6.478) Accm: 1.97 (2.04) Acct: 3.10 (3.15) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0015
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:10:34 (0.380 s / it)
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:10:34 (0.380 s / it)
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 13/350] Total time: 0:10:34 (0.380 s / it)
[11-26 15:14:29] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.111 (7.111), Lt: 6.503 (6.503), Acc m&t: 1.95 2.98, Remain: 2 days, 11:36:28, Finish: 2024-11-28 10:50
[11-26 15:14:29] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.111 (7.111), Lt: 6.503 (6.503), Acc m&t: 1.95 2.98, Remain: 2 days, 11:37:27, Finish: 2024-11-28 10:51
[11-26 15:14:29] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.111 (7.111), Lt: 6.503 (6.503), Acc m&t: 1.95 2.98, Remain: 2 days, 11:34:33, Finish: 2024-11-28 10:49
[11-26 15:14:29] (/home/user/VAR/train.py , line 276)=> [ep13] (training ) Lm: 7.111 (7.111), Lt: 6.503 (6.503), Acc m&t: 1.95 2.98, Remain: 2 days, 11:36:06, Finish: 2024-11-28 10:50
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.45 Lm: 7.046 (7.046) Lt: 6.428 (6.428) Accm: 2.31 (2.31) Acct: 3.62 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3771 data: 0.0003
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:10:28 tlr: 0.00024 tnm: 0.45 Lm: 7.084 (7.084) Lt: 6.450 (6.450) Accm: 1.86 (1.86) Acct: 2.82 (2.82) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0003
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:10:30 tlr: 0.00024 tnm: 0.45 Lm: 7.123 (7.123) Lt: 6.506 (6.506) Accm: 1.96 (1.96) Acct: 3.03 (3.03) proj_loss: 0.0000 (0.0000) time: 0.3777 data: 0.0003
[11-26 15:14:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.45 Lm: 7.164 (7.164) Lt: 6.570 (6.570) Accm: 1.69 (1.69) Acct: 2.44 (2.44) proj_loss: 0.0000 (0.0000) time: 0.3769 data: 0.0003
[11-26 15:17:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.48 Lm: 7.025 (7.025) Lt: 6.392 (6.392) Accm: 2.15 (2.15) Acct: 3.37 (3.37) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 15:17:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.48 Lm: 7.065 (7.065) Lt: 6.441 (6.441) Accm: 2.11 (2.11) Acct: 3.24 (3.24) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 15:17:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.48 Lm: 7.103 (7.103) Lt: 6.487 (6.487) Accm: 1.88 (1.88) Acct: 2.79 (2.79) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 15:17:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 417/1669] eta: 0:07:55 tlr: 0.00024 tnm: 0.48 Lm: 7.118 (7.118) Lt: 6.503 (6.503) Accm: 1.94 (1.94) Acct: 2.88 (2.88) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 15:19:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.46 Lm: 7.072 (7.095) Lt: 6.435 (6.473) Accm: 1.89 (1.92) Acct: 2.89 (2.88) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 15:19:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.46 Lm: 7.088 (7.098) Lt: 6.450 (6.471) Accm: 1.89 (1.93) Acct: 2.82 (2.98) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 15:19:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.46 Lm: 7.060 (7.063) Lt: 6.440 (6.441) Accm: 2.06 (2.09) Acct: 3.25 (3.24) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 15:19:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.46 Lm: 7.003 (7.008) Lt: 6.355 (6.362) Accm: 2.31 (2.29) Acct: 3.62 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 15:22:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.48 Lm: 7.025 (7.055) Lt: 6.392 (6.435) Accm: 2.15 (2.14) Acct: 3.37 (3.29) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 15:22:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.48 Lm: 7.086 (7.070) Lt: 6.445 (6.437) Accm: 1.97 (2.03) Acct: 3.09 (3.13) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 15:22:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.48 Lm: 7.091 (7.082) Lt: 6.473 (6.465) Accm: 2.01 (2.02) Acct: 3.14 (3.16) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 15:22:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.48 Lm: 7.118 (7.124) Lt: 6.503 (6.505) Accm: 1.79 (1.86) Acct: 2.74 (2.81) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 15:25:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.072 (7.084) Lt: 6.435 (6.464) Accm: 1.89 (1.96) Acct: 2.89 (2.93) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0018
[11-26 15:25:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:10:34 (0.380 s / it)
[11-26 15:25:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.088 (7.085) Lt: 6.450 (6.451) Accm: 1.89 (1.95) Acct: 2.82 (3.00) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0020
[11-26 15:25:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.060 (7.035) Lt: 6.440 (6.412) Accm: 2.06 (2.10) Acct: 3.25 (3.27) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0019
[11-26 15:25:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 14/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.46 Lm: 7.046 (7.061) Lt: 6.428 (6.445) Accm: 2.17 (2.15) Acct: 3.13 (3.25) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0017
[11-26 15:25:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:10:34 (0.380 s / it)
[11-26 15:25:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:10:34 (0.380 s / it)
[11-26 15:25:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 14/350] Total time: 0:10:34 (0.380 s / it)
[11-26 15:25:03] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.091 (7.091), Lt: 6.470 (6.470), Acc m&t: 1.97 3.04, Remain: 2 days, 11:33:01, Finish: 2024-11-28 10:58
[11-26 15:25:03] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.091 (7.091), Lt: 6.470 (6.470), Acc m&t: 1.97 3.04, Remain: 2 days, 11:32:29, Finish: 2024-11-28 10:57
[11-26 15:25:03] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.091 (7.091), Lt: 6.470 (6.470), Acc m&t: 1.97 3.04, Remain: 2 days, 11:33:08, Finish: 2024-11-28 10:58
[11-26 15:25:03] (/home/user/VAR/train.py , line 276)=> [ep14] (training ) Lm: 7.091 (7.091), Lt: 6.470 (6.470), Acc m&t: 1.97 3.04, Remain: 2 days, 11:33:10, Finish: 2024-11-28 10:58
[11-26 15:25:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:10:26 tlr: 0.00024 tnm: 0.49 Lm: 6.874 (6.874) Lt: 6.176 (6.176) Accm: 2.52 (2.52) Acct: 3.89 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3756 data: 0.0004
[11-26 15:25:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.49 Lm: 7.078 (7.078) Lt: 6.450 (6.450) Accm: 2.19 (2.19) Acct: 3.39 (3.39) proj_loss: 0.0000 (0.0000) time: 0.3759 data: 0.0003
[11-26 15:25:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.49 Lm: 7.062 (7.062) Lt: 6.437 (6.437) Accm: 1.82 (1.82) Acct: 2.70 (2.70) proj_loss: 0.0000 (0.0000) time: 0.3758 data: 0.0004
[11-26 15:25:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 0/1669] eta: 0:10:26 tlr: 0.00024 tnm: 0.49 Lm: 6.884 (6.884) Lt: 6.208 (6.208) Accm: 2.56 (2.56) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3754 data: 0.0004
[11-26 15:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.45 Lm: 6.901 (6.901) Lt: 6.259 (6.259) Accm: 2.49 (2.49) Acct: 3.85 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 15:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.45 Lm: 6.951 (6.951) Lt: 6.281 (6.281) Accm: 2.32 (2.32) Acct: 3.69 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 15:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.45 Lm: 7.057 (7.057) Lt: 6.426 (6.426) Accm: 1.94 (1.94) Acct: 3.02 (3.02) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 15:27:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.45 Lm: 6.997 (6.997) Lt: 6.371 (6.371) Accm: 2.29 (2.29) Acct: 3.54 (3.54) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 15:30:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.51 Lm: 7.078 (7.026) Lt: 6.450 (6.413) Accm: 2.19 (2.17) Acct: 3.39 (3.34) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 15:30:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.51 Lm: 7.052 (7.053) Lt: 6.415 (6.410) Accm: 2.03 (1.97) Acct: 3.08 (3.04) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0003
[11-26 15:30:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.51 Lm: 6.918 (6.981) Lt: 6.310 (6.331) Accm: 2.42 (2.27) Acct: 3.62 (3.56) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 15:30:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.51 Lm: 7.027 (7.008) Lt: 6.386 (6.347) Accm: 2.13 (2.12) Acct: 3.50 (3.40) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 15:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.42 Lm: 6.997 (6.997) Lt: 6.339 (6.333) Accm: 2.24 (2.18) Acct: 3.69 (3.53) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.42 Lm: 7.082 (7.078) Lt: 6.474 (6.458) Accm: 2.06 (2.10) Acct: 3.17 (3.22) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.42 Lm: 7.030 (7.024) Lt: 6.393 (6.395) Accm: 2.12 (2.15) Acct: 3.30 (3.28) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:32:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.42 Lm: 7.057 (7.063) Lt: 6.426 (6.432) Accm: 2.01 (1.97) Acct: 3.16 (3.09) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 15:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.052 (7.060) Lt: 6.437 (6.433) Accm: 2.03 (2.00) Acct: 3.24 (3.14) proj_loss: 0.0000 (0.0000) time: 0.4300 data: 0.0019
[11-26 15:35:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:37 (0.382 s / it)
[11-26 15:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.027 (7.006) Lt: 6.386 (6.347) Accm: 2.13 (2.17) Acct: 3.50 (3.49) proj_loss: 0.0000 (0.0000) time: 0.4300 data: 0.0015
[11-26 15:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.078 (7.076) Lt: 6.465 (6.460) Accm: 2.08 (2.09) Acct: 3.17 (3.21) proj_loss: 0.0000 (0.0000) time: 0.4300 data: 0.0017
[11-26 15:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 15/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.026 (7.024) Lt: 6.438 (6.403) Accm: 2.24 (2.17) Acct: 3.19 (3.26) proj_loss: 0.0000 (0.0000) time: 0.4300 data: 0.0019
[11-26 15:35:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:37 (0.382 s / it)
[11-26 15:35:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:37 (0.382 s / it)
[11-26 15:35:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 15/350] Total time: 0:10:37 (0.382 s / it)
[11-26 15:35:41] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.049 (7.049), Lt: 6.419 (6.419), Acc m&t: 2.08 3.22, Remain: 2 days, 11:17:50, Finish: 2024-11-28 10:53
[11-26 15:35:41] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.049 (7.049), Lt: 6.419 (6.419), Acc m&t: 2.08 3.22, Remain: 2 days, 11:20:27, Finish: 2024-11-28 10:56
[11-26 15:35:41] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.049 (7.049), Lt: 6.419 (6.419), Acc m&t: 2.08 3.22, Remain: 2 days, 11:17:53, Finish: 2024-11-28 10:53
[11-26 15:35:41] (/home/user/VAR/train.py , line 276)=> [ep15] (training ) Lm: 7.049 (7.049), Lt: 6.419 (6.419), Acc m&t: 2.08 3.22, Remain: 2 days, 11:18:51, Finish: 2024-11-28 10:54
[11-26 15:35:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:10:24 tlr: 0.00024 tnm: 0.49 Lm: 6.802 (6.802) Lt: 6.114 (6.114) Accm: 2.88 (2.88) Acct: 4.58 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3740 data: 0.0003
[11-26 15:35:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:10:37 tlr: 0.00024 tnm: 0.49 Lm: 6.956 (6.956) Lt: 6.306 (6.306) Accm: 2.59 (2.59) Acct: 3.98 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0003
[11-26 15:35:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:10:38 tlr: 0.00024 tnm: 0.49 Lm: 7.136 (7.136) Lt: 6.492 (6.492) Accm: 1.85 (1.85) Acct: 2.62 (2.62) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0003
[11-26 15:35:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 0/1669] eta: 0:10:31 tlr: 0.00024 tnm: 0.49 Lm: 6.902 (6.902) Lt: 6.240 (6.240) Accm: 2.52 (2.52) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3783 data: 0.0004
[11-26 15:38:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:08:38 tlr: 0.00024 tnm: 0.44 Lm: 6.938 (6.938) Lt: 6.289 (6.289) Accm: 2.40 (2.40) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:38:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:08:38 tlr: 0.00024 tnm: 0.44 Lm: 7.100 (7.100) Lt: 6.467 (6.467) Accm: 1.93 (1.93) Acct: 2.92 (2.92) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:38:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:08:38 tlr: 0.00024 tnm: 0.44 Lm: 6.999 (6.999) Lt: 6.341 (6.341) Accm: 2.33 (2.33) Acct: 3.69 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:38:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 417/1669] eta: 0:08:38 tlr: 0.00024 tnm: 0.44 Lm: 6.994 (6.994) Lt: 6.359 (6.359) Accm: 2.39 (2.39) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 15:41:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:05:31 tlr: 0.00024 tnm: 0.49 Lm: 6.960 (6.983) Lt: 6.324 (6.348) Accm: 2.23 (2.33) Acct: 3.70 (3.73) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 15:41:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:05:31 tlr: 0.00024 tnm: 0.49 Lm: 6.974 (6.971) Lt: 6.337 (6.337) Accm: 2.27 (2.30) Acct: 3.46 (3.52) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 15:41:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:05:31 tlr: 0.00024 tnm: 0.49 Lm: 7.009 (7.002) Lt: 6.368 (6.350) Accm: 2.14 (2.27) Acct: 3.41 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 15:41:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [ 834/1669] eta: 0:05:31 tlr: 0.00024 tnm: 0.49 Lm: 7.130 (7.110) Lt: 6.477 (6.470) Accm: 1.88 (1.91) Acct: 3.05 (2.96) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 15:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:43 tlr: 0.00024 tnm: 0.40 Lm: 7.102 (7.101) Lt: 6.462 (6.465) Accm: 1.94 (1.95) Acct: 3.06 (2.99) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 15:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:43 tlr: 0.00024 tnm: 0.40 Lm: 7.005 (7.007) Lt: 6.386 (6.375) Accm: 2.19 (2.17) Acct: 3.35 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 15:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:43 tlr: 0.00024 tnm: 0.40 Lm: 7.026 (7.026) Lt: 6.372 (6.381) Accm: 2.11 (2.18) Acct: 3.41 (3.44) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 15:43:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1251/1669] eta: 0:02:43 tlr: 0.00024 tnm: 0.40 Lm: 6.994 (6.994) Lt: 6.366 (6.362) Accm: 2.12 (2.25) Acct: 3.47 (3.61) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 6.999 (6.995) Lt: 6.333 (6.357) Accm: 2.21 (2.25) Acct: 3.67 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0015
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:10:48 (0.389 s / it)
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.009 (7.009) Lt: 6.368 (6.370) Accm: 2.14 (2.20) Acct: 3.41 (3.45) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0019
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.075 (7.086) Lt: 6.448 (6.450) Accm: 2.00 (1.97) Acct: 3.06 (3.04) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0019
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 16/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.035 (7.013) Lt: 6.430 (6.386) Accm: 2.11 (2.15) Acct: 3.24 (3.30) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0017
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:10:48 (0.389 s / it)
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:10:48 (0.389 s / it)
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 16/350] Total time: 0:10:48 (0.389 s / it)
[11-26 15:46:30] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.043 (7.043), Lt: 6.411 (6.411), Acc m&t: 2.09 3.22, Remain: 2 days, 11:10:47, Finish: 2024-11-28 10:57
[11-26 15:46:30] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.043 (7.043), Lt: 6.411 (6.411), Acc m&t: 2.09 3.22, Remain: 2 days, 11:09:58, Finish: 2024-11-28 10:56
[11-26 15:46:30] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.043 (7.043), Lt: 6.411 (6.411), Acc m&t: 2.09 3.22, Remain: 2 days, 11:10:07, Finish: 2024-11-28 10:56
[11-26 15:46:30] (/home/user/VAR/train.py , line 276)=> [ep16] (training ) Lm: 7.043 (7.043), Lt: 6.411 (6.411), Acc m&t: 2.09 3.22, Remain: 2 days, 11:08:51, Finish: 2024-11-28 10:55
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.47 Lm: 7.068 (7.068) Lt: 6.467 (6.467) Accm: 2.05 (2.05) Acct: 3.24 (3.24) proj_loss: 0.0000 (0.0000) time: 0.3757 data: 0.0004
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.47 Lm: 6.820 (6.820) Lt: 6.176 (6.176) Accm: 2.94 (2.94) Acct: 4.65 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3760 data: 0.0004
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.47 Lm: 6.970 (6.970) Lt: 6.336 (6.336) Accm: 2.42 (2.42) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3760 data: 0.0004
[11-26 15:46:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.47 Lm: 7.062 (7.062) Lt: 6.453 (6.453) Accm: 2.25 (2.25) Acct: 3.58 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3759 data: 0.0003
[11-26 15:49:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.42 Lm: 7.130 (7.130) Lt: 6.510 (6.510) Accm: 1.98 (1.98) Acct: 3.20 (3.20) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 15:49:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.42 Lm: 6.912 (6.912) Lt: 6.267 (6.267) Accm: 2.42 (2.42) Acct: 3.85 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 15:49:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.42 Lm: 6.954 (6.954) Lt: 6.306 (6.306) Accm: 2.36 (2.36) Acct: 3.61 (3.61) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 15:49:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.42 Lm: 7.066 (7.066) Lt: 6.443 (6.443) Accm: 2.08 (2.08) Acct: 3.25 (3.25) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 15:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.52 Lm: 7.065 (7.062) Lt: 6.419 (6.427) Accm: 2.05 (2.06) Acct: 3.24 (3.24) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0002
[11-26 15:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.52 Lm: 6.970 (6.970) Lt: 6.336 (6.329) Accm: 2.30 (2.29) Acct: 3.55 (3.57) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0002
[11-26 15:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.52 Lm: 7.005 (6.981) Lt: 6.358 (6.345) Accm: 1.91 (2.25) Acct: 3.05 (3.52) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0002
[11-26 15:51:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.52 Lm: 7.073 (7.111) Lt: 6.453 (6.479) Accm: 2.12 (2.03) Acct: 3.27 (3.23) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0002
[11-26 15:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.40 Lm: 7.067 (7.066) Lt: 6.435 (6.417) Accm: 2.17 (2.08) Acct: 3.36 (3.28) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 15:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.40 Lm: 7.018 (6.994) Lt: 6.350 (6.344) Accm: 1.96 (2.19) Acct: 3.10 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 15:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.40 Lm: 7.066 (7.070) Lt: 6.433 (6.431) Accm: 2.04 (2.03) Acct: 3.22 (3.18) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 15:54:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.40 Lm: 6.954 (6.936) Lt: 6.306 (6.281) Accm: 2.36 (2.32) Acct: 3.61 (3.61) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 15:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 6.970 (6.990) Lt: 6.336 (6.341) Accm: 2.30 (2.19) Acct: 3.55 (3.39) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0018
[11-26 15:57:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:10:35 (0.381 s / it)
[11-26 15:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.005 (6.971) Lt: 6.342 (6.324) Accm: 2.00 (2.23) Acct: 3.15 (3.47) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0019
[11-26 15:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.065 (7.050) Lt: 6.419 (6.404) Accm: 2.05 (2.06) Acct: 3.24 (3.26) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0020
[11-26 15:57:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 17/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.47 Lm: 7.073 (7.070) Lt: 6.416 (6.417) Accm: 2.12 (2.04) Acct: 3.27 (3.21) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0017
[11-26 15:57:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:10:35 (0.381 s / it)
[11-26 15:57:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:10:35 (0.381 s / it)
[11-26 15:57:05] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 17/350] Total time: 0:10:35 (0.381 s / it)
[11-26 15:57:05] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.021 (7.021), Lt: 6.378 (6.378), Acc m&t: 2.11 3.28, Remain: 2 days, 10:53:33, Finish: 2024-11-28 10:50
[11-26 15:57:05] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.021 (7.021), Lt: 6.378 (6.378), Acc m&t: 2.11 3.28, Remain: 2 days, 10:54:44, Finish: 2024-11-28 10:51
[11-26 15:57:05] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.021 (7.021), Lt: 6.378 (6.378), Acc m&t: 2.11 3.28, Remain: 2 days, 10:54:23, Finish: 2024-11-28 10:51
[11-26 15:57:05] (/home/user/VAR/train.py , line 276)=> [ep17] (training ) Lm: 7.021 (7.021), Lt: 6.378 (6.378), Acc m&t: 2.11 3.28, Remain: 2 days, 10:53:36, Finish: 2024-11-28 10:50
[11-26 15:57:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:10:25 tlr: 0.00024 tnm: 0.42 Lm: 7.027 (7.027) Lt: 6.377 (6.377) Accm: 2.03 (2.03) Acct: 3.37 (3.37) proj_loss: 0.0000 (0.0000) time: 0.3748 data: 0.0003
[11-26 15:57:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:10:26 tlr: 0.00024 tnm: 0.42 Lm: 7.050 (7.050) Lt: 6.401 (6.401) Accm: 2.10 (2.10) Acct: 3.36 (3.36) proj_loss: 0.0000 (0.0000) time: 0.3753 data: 0.0004
[11-26 15:57:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:10:26 tlr: 0.00024 tnm: 0.42 Lm: 6.908 (6.908) Lt: 6.226 (6.226) Accm: 2.43 (2.43) Acct: 3.62 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3751 data: 0.0003
[11-26 15:57:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 0/1669] eta: 0:10:25 tlr: 0.00024 tnm: 0.42 Lm: 7.010 (7.010) Lt: 6.373 (6.373) Accm: 2.37 (2.37) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3749 data: 0.0004
[11-26 15:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.48 Lm: 6.976 (6.976) Lt: 6.327 (6.327) Accm: 2.39 (2.39) Acct: 3.71 (3.71) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 15:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.48 Lm: 7.021 (7.021) Lt: 6.382 (6.382) Accm: 2.14 (2.14) Acct: 3.19 (3.19) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 15:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.48 Lm: 7.027 (7.027) Lt: 6.377 (6.377) Accm: 2.21 (2.21) Acct: 3.53 (3.53) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 15:59:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.48 Lm: 6.995 (6.995) Lt: 6.334 (6.334) Accm: 2.15 (2.15) Acct: 3.52 (3.52) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 16:02:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.41 Lm: 6.988 (6.993) Lt: 6.328 (6.332) Accm: 2.13 (2.14) Acct: 3.37 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 16:02:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.41 Lm: 6.952 (6.998) Lt: 6.271 (6.345) Accm: 2.29 (2.19) Acct: 3.46 (3.28) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 16:02:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.41 Lm: 7.049 (7.034) Lt: 6.396 (6.384) Accm: 2.10 (2.12) Acct: 3.36 (3.37) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 16:02:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.41 Lm: 6.978 (6.977) Lt: 6.299 (6.318) Accm: 2.37 (2.28) Acct: 3.67 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 16:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.39 Lm: 6.994 (6.988) Lt: 6.336 (6.332) Accm: 2.22 (2.21) Acct: 3.38 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 16:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.39 Lm: 7.026 (7.023) Lt: 6.375 (6.370) Accm: 2.14 (2.14) Acct: 3.35 (3.36) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 16:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.39 Lm: 7.007 (7.004) Lt: 6.352 (6.344) Accm: 2.16 (2.15) Acct: 3.38 (3.42) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 16:05:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.39 Lm: 6.985 (7.003) Lt: 6.342 (6.362) Accm: 2.25 (2.19) Acct: 3.37 (3.28) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.952 (6.977) Lt: 6.271 (6.337) Accm: 2.21 (2.20) Acct: 3.39 (3.30) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0015
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:36 (0.381 s / it)
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.049 (7.040) Lt: 6.396 (6.385) Accm: 2.10 (2.10) Acct: 3.34 (3.31) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0021
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.988 (6.987) Lt: 6.328 (6.327) Accm: 2.19 (2.20) Acct: 3.39 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0018
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 18/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.010 (7.004) Lt: 6.373 (6.353) Accm: 2.06 (2.12) Acct: 3.10 (3.21) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0018
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:36 (0.381 s / it)
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:36 (0.381 s / it)
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 18/350] Total time: 0:10:36 (0.381 s / it)
[11-26 16:07:42] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.006 (7.006), Lt: 6.356 (6.356), Acc m&t: 2.15 3.35, Remain: 2 days, 10:50:23, Finish: 2024-11-28 10:58
[11-26 16:07:42] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.006 (7.006), Lt: 6.356 (6.356), Acc m&t: 2.15 3.35, Remain: 2 days, 10:53:14, Finish: 2024-11-28 11:00
[11-26 16:07:42] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.006 (7.006), Lt: 6.356 (6.356), Acc m&t: 2.15 3.35, Remain: 2 days, 10:51:12, Finish: 2024-11-28 10:58
[11-26 16:07:42] (/home/user/VAR/train.py , line 276)=> [ep18] (training ) Lm: 7.006 (7.006), Lt: 6.356 (6.356), Acc m&t: 2.15 3.35, Remain: 2 days, 10:52:34, Finish: 2024-11-28 11:00
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:10:32 tlr: 0.00024 tnm: 0.37 Lm: 7.046 (7.046) Lt: 6.397 (6.397) Accm: 2.17 (2.17) Acct: 3.46 (3.46) proj_loss: 0.0000 (0.0000) time: 0.3788 data: 0.0004
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:10:32 tlr: 0.00024 tnm: 0.37 Lm: 7.004 (7.004) Lt: 6.402 (6.402) Accm: 2.04 (2.04) Acct: 3.29 (3.29) proj_loss: 0.0000 (0.0000) time: 0.3790 data: 0.0003
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:10:32 tlr: 0.00024 tnm: 0.37 Lm: 7.086 (7.086) Lt: 6.443 (6.443) Accm: 2.14 (2.14) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3787 data: 0.0004
[11-26 16:07:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 0/1669] eta: 0:10:31 tlr: 0.00024 tnm: 0.37 Lm: 7.083 (7.083) Lt: 6.434 (6.434) Accm: 1.84 (1.84) Acct: 2.75 (2.75) proj_loss: 0.0000 (0.0000) time: 0.3784 data: 0.0004
[11-26 16:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:09:03 tlr: 0.00024 tnm: 0.46 Lm: 7.053 (7.053) Lt: 6.404 (6.404) Accm: 2.00 (2.00) Acct: 3.06 (3.06) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 16:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:09:03 tlr: 0.00024 tnm: 0.46 Lm: 6.978 (6.978) Lt: 6.307 (6.307) Accm: 2.17 (2.17) Acct: 3.40 (3.40) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 16:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:09:03 tlr: 0.00024 tnm: 0.46 Lm: 7.074 (7.074) Lt: 6.476 (6.476) Accm: 1.91 (1.91) Acct: 2.93 (2.93) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 16:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 417/1669] eta: 0:09:03 tlr: 0.00024 tnm: 0.46 Lm: 7.002 (7.002) Lt: 6.357 (6.357) Accm: 2.26 (2.26) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 16:13:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:05:39 tlr: 0.00024 tnm: 0.38 Lm: 7.015 (7.006) Lt: 6.353 (6.356) Accm: 2.14 (2.21) Acct: 3.74 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 16:13:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:05:39 tlr: 0.00024 tnm: 0.38 Lm: 7.031 (6.996) Lt: 6.397 (6.347) Accm: 2.18 (2.19) Acct: 3.43 (3.41) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 16:13:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:05:39 tlr: 0.00024 tnm: 0.38 Lm: 7.060 (7.069) Lt: 6.440 (6.464) Accm: 2.03 (1.95) Acct: 3.15 (3.00) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 16:13:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [ 834/1669] eta: 0:05:39 tlr: 0.00024 tnm: 0.38 Lm: 7.023 (7.030) Lt: 6.373 (6.373) Accm: 2.08 (2.03) Acct: 3.36 (3.16) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 16:16:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:46 tlr: 0.00024 tnm: 0.38 Lm: 7.004 (7.000) Lt: 6.342 (6.350) Accm: 2.12 (2.15) Acct: 3.37 (3.27) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 16:16:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:46 tlr: 0.00024 tnm: 0.38 Lm: 7.038 (7.012) Lt: 6.406 (6.364) Accm: 2.17 (2.17) Acct: 3.44 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 16:16:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:46 tlr: 0.00024 tnm: 0.38 Lm: 7.032 (7.027) Lt: 6.421 (6.412) Accm: 2.04 (2.06) Acct: 3.22 (3.17) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-26 16:16:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1251/1669] eta: 0:02:46 tlr: 0.00024 tnm: 0.38 Lm: 6.966 (6.981) Lt: 6.313 (6.329) Accm: 2.25 (2.25) Acct: 3.62 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0003
[11-26 16:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 6.969 (6.979) Lt: 6.346 (6.333) Accm: 2.37 (2.27) Acct: 3.55 (3.52) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0017
[11-26 16:18:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:10:57 (0.394 s / it)
[11-26 16:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.004 (7.022) Lt: 6.402 (6.404) Accm: 2.04 (2.08) Acct: 3.27 (3.19) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0014
[11-26 16:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 7.031 (6.979) Lt: 6.397 (6.309) Accm: 2.18 (2.24) Acct: 3.46 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0016
[11-26 16:18:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 19/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.42 Lm: 6.985 (6.997) Lt: 6.368 (6.353) Accm: 2.16 (2.17) Acct: 3.37 (3.33) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0019
[11-26 16:18:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:10:57 (0.394 s / it)
[11-26 16:18:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:10:57 (0.394 s / it)
[11-26 16:18:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 19/350] Total time: 0:10:57 (0.394 s / it)
[11-26 16:20:50] (home/user/VAR/trainer.py, line 114)=> FID: 8.720418294534852
[11-26 16:20:50] (/home/user/VAR/train.py , line 259)=> [*] [ep19] (val 50000) Lm: 6.9918, Lt: 6.3399, Acc m&t: 2.18 3.41, Val cost: 131.05s
[11-26 16:20:50] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-26 16:21:12] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 6.992 (6.992), Lt: 6.340 (6.340), Acc m&t: 2.18 3.41, Remain: 2 days, 10:42:37, Finish: 2024-11-28 11:01
[11-26 16:21:12] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 6.992 (6.992), Lt: 6.340 (6.340), Acc m&t: 2.18 3.41, Remain: 2 days, 10:41:53, Finish: 2024-11-28 11:00
[11-26 16:21:12] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 6.992 (6.992), Lt: 6.340 (6.340), Acc m&t: 2.18 3.41, Remain: 2 days, 10:41:41, Finish: 2024-11-28 11:00
[11-26 16:21:12] (/home/user/VAR/train.py , line 276)=> [ep19] (training ) Lm: 6.992 (6.992), Lt: 6.340 (6.340), Acc m&t: 2.18 3.41, Remain: 2 days, 10:42:49, Finish: 2024-11-28 11:01
[11-26 16:21:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:10:53 tlr: 0.00024 tnm: 0.41 Lm: 6.905 (6.905) Lt: 6.240 (6.240) Accm: 2.27 (2.27) Acct: 3.62 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3913 data: 0.0004
[11-26 16:21:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:10:51 tlr: 0.00024 tnm: 0.41 Lm: 6.870 (6.870) Lt: 6.210 (6.210) Accm: 2.23 (2.23) Acct: 3.53 (3.53) proj_loss: 0.0000 (0.0000) time: 0.3903 data: 0.0004
[11-26 16:21:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:10:48 tlr: 0.00024 tnm: 0.41 Lm: 6.868 (6.868) Lt: 6.271 (6.271) Accm: 2.16 (2.16) Acct: 3.44 (3.44) proj_loss: 0.0000 (0.0000) time: 0.3885 data: 0.0004
[11-26 16:21:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 0/1669] eta: 0:10:57 tlr: 0.00024 tnm: 0.41 Lm: 7.033 (7.033) Lt: 6.375 (6.375) Accm: 2.36 (2.36) Acct: 3.58 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3942 data: 0.0003
[11-26 16:23:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.39 Lm: 6.957 (6.957) Lt: 6.293 (6.293) Accm: 2.31 (2.31) Acct: 3.66 (3.66) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:23:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.39 Lm: 6.839 (6.839) Lt: 6.110 (6.110) Accm: 2.51 (2.51) Acct: 3.96 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:23:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.39 Lm: 6.984 (6.984) Lt: 6.327 (6.327) Accm: 2.24 (2.24) Acct: 3.57 (3.57) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:23:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.39 Lm: 6.917 (6.917) Lt: 6.279 (6.279) Accm: 2.22 (2.22) Acct: 3.53 (3.53) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:26:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.37 Lm: 6.965 (6.940) Lt: 6.287 (6.291) Accm: 2.26 (2.23) Acct: 3.46 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 16:26:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.37 Lm: 6.952 (6.973) Lt: 6.286 (6.313) Accm: 2.21 (2.22) Acct: 3.53 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 16:26:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.37 Lm: 6.857 (6.845) Lt: 6.197 (6.139) Accm: 2.42 (2.48) Acct: 3.62 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 16:26:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.37 Lm: 6.965 (6.960) Lt: 6.271 (6.286) Accm: 2.27 (2.28) Acct: 3.58 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 16:29:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.923 (6.940) Lt: 6.242 (6.267) Accm: 2.31 (2.31) Acct: 3.60 (3.59) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-26 16:29:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.985 (6.984) Lt: 6.317 (6.322) Accm: 2.20 (2.19) Acct: 3.50 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-26 16:29:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.863 (6.891) Lt: 6.203 (6.202) Accm: 2.32 (2.31) Acct: 3.57 (3.55) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-26 16:29:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.977 (6.985) Lt: 6.300 (6.344) Accm: 2.21 (2.10) Acct: 3.45 (3.34) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-26 16:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 6.988 (7.005) Lt: 6.314 (6.370) Accm: 2.16 (2.11) Acct: 3.44 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0017
[11-26 16:31:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:10:35 (0.381 s / it)
[11-26 16:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 6.992 (6.986) Lt: 6.348 (6.331) Accm: 2.21 (2.21) Acct: 3.53 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0015
[11-26 16:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 6.870 (6.909) Lt: 6.210 (6.228) Accm: 2.35 (2.32) Acct: 3.62 (3.57) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0016
[11-26 16:31:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 20/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.36 Lm: 6.881 (6.916) Lt: 6.212 (6.243) Accm: 2.36 (2.32) Acct: 3.62 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0015
[11-26 16:31:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:10:35 (0.381 s / it)
[11-26 16:31:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:10:35 (0.381 s / it)
[11-26 16:31:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 20/350] Total time: 0:10:35 (0.381 s / it)
[11-26 16:31:47] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 6.976 (6.976), Lt: 6.317 (6.317), Acc m&t: 2.21 3.46, Remain: 2 days, 10:29:00, Finish: 2024-11-28 11:00
[11-26 16:31:47] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 6.976 (6.976), Lt: 6.317 (6.317), Acc m&t: 2.21 3.46, Remain: 2 days, 10:29:05, Finish: 2024-11-28 11:00
[11-26 16:31:47] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 6.976 (6.976), Lt: 6.317 (6.317), Acc m&t: 2.21 3.46, Remain: 2 days, 10:28:24, Finish: 2024-11-28 11:00
[11-26 16:31:47] (/home/user/VAR/train.py , line 276)=> [ep20] (training ) Lm: 6.976 (6.976), Lt: 6.317 (6.317), Acc m&t: 2.21 3.46, Remain: 2 days, 10:29:25, Finish: 2024-11-28 11:01
[11-26 16:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:10:21 tlr: 0.00024 tnm: 0.42 Lm: 7.002 (7.002) Lt: 6.380 (6.380) Accm: 2.22 (2.22) Acct: 3.05 (3.05) proj_loss: 0.0000 (0.0000) time: 0.3723 data: 0.0003
[11-26 16:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:10:21 tlr: 0.00024 tnm: 0.42 Lm: 6.996 (6.996) Lt: 6.291 (6.291) Accm: 2.14 (2.14) Acct: 3.31 (3.31) proj_loss: 0.0000 (0.0000) time: 0.3724 data: 0.0004
[11-26 16:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:10:21 tlr: 0.00024 tnm: 0.42 Lm: 7.068 (7.068) Lt: 6.431 (6.431) Accm: 2.05 (2.05) Acct: 3.20 (3.20) proj_loss: 0.0000 (0.0000) time: 0.3727 data: 0.0004
[11-26 16:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 0/1669] eta: 0:11:02 tlr: 0.00024 tnm: 0.42 Lm: 7.010 (7.010) Lt: 6.348 (6.348) Accm: 2.05 (2.05) Acct: 3.25 (3.25) proj_loss: 0.0000 (0.0000) time: 0.3967 data: 0.0004
[11-26 16:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.38 Lm: 6.999 (6.999) Lt: 6.351 (6.351) Accm: 2.12 (2.12) Acct: 3.22 (3.22) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 16:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.38 Lm: 7.071 (7.071) Lt: 6.430 (6.430) Accm: 2.04 (2.04) Acct: 3.13 (3.13) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 16:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.38 Lm: 6.975 (6.975) Lt: 6.356 (6.356) Accm: 2.21 (2.21) Acct: 3.14 (3.14) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.38 Lm: 7.011 (7.011) Lt: 6.347 (6.347) Accm: 2.15 (2.15) Acct: 3.30 (3.30) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:37:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.39 Lm: 7.008 (7.010) Lt: 6.329 (6.341) Accm: 2.14 (2.13) Acct: 3.29 (3.25) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 16:37:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.39 Lm: 7.074 (7.085) Lt: 6.431 (6.452) Accm: 2.05 (2.05) Acct: 3.20 (3.17) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 16:37:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.39 Lm: 7.002 (7.014) Lt: 6.380 (6.397) Accm: 2.19 (2.13) Acct: 3.19 (3.16) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 16:37:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.39 Lm: 7.009 (7.002) Lt: 6.349 (6.350) Accm: 2.20 (2.15) Acct: 3.25 (3.28) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 16:39:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 7.010 (7.022) Lt: 6.352 (6.366) Accm: 2.16 (2.14) Acct: 3.23 (3.26) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:39:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 7.071 (7.073) Lt: 6.430 (6.446) Accm: 2.06 (2.07) Acct: 3.21 (3.18) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:39:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.975 (6.996) Lt: 6.356 (6.362) Accm: 2.16 (2.13) Acct: 3.16 (3.15) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:39:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 7.002 (6.994) Lt: 6.348 (6.348) Accm: 2.12 (2.08) Acct: 3.23 (3.18) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:42:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.35 Lm: 6.996 (6.994) Lt: 6.331 (6.344) Accm: 2.14 (2.10) Acct: 3.29 (3.21) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0016
[11-26 16:42:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:10:34 (0.380 s / it)
[11-26 16:42:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.35 Lm: 6.952 (6.988) Lt: 6.331 (6.353) Accm: 2.19 (2.18) Acct: 3.19 (3.29) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0014
[11-26 16:42:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.35 Lm: 7.068 (7.042) Lt: 6.429 (6.409) Accm: 2.07 (2.14) Acct: 3.22 (3.35) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0019
[11-26 16:42:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 21/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.35 Lm: 7.010 (7.027) Lt: 6.352 (6.363) Accm: 2.12 (2.12) Acct: 3.25 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0017
[11-26 16:42:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:10:34 (0.380 s / it)
[11-26 16:42:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:10:34 (0.380 s / it)
[11-26 16:42:22] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 21/350] Total time: 0:10:34 (0.380 s / it)
[11-26 16:42:22] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 6.964 (6.964), Lt: 6.302 (6.302), Acc m&t: 2.27 3.53, Remain: 2 days, 10:08:59, Finish: 2024-11-28 10:51
[11-26 16:42:22] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 6.964 (6.964), Lt: 6.302 (6.302), Acc m&t: 2.27 3.53, Remain: 2 days, 10:06:53, Finish: 2024-11-28 10:49
[11-26 16:42:22] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 6.964 (6.964), Lt: 6.302 (6.302), Acc m&t: 2.27 3.53, Remain: 2 days, 10:07:49, Finish: 2024-11-28 10:50
[11-26 16:42:22] (/home/user/VAR/train.py , line 276)=> [ep21] (training ) Lm: 6.964 (6.964), Lt: 6.302 (6.302), Acc m&t: 2.27 3.53, Remain: 2 days, 10:08:38, Finish: 2024-11-28 10:51
[11-26 16:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:10:28 tlr: 0.00024 tnm: 0.40 Lm: 6.826 (6.826) Lt: 6.146 (6.146) Accm: 2.53 (2.53) Acct: 3.82 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3765 data: 0.0003
[11-26 16:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:10:28 tlr: 0.00024 tnm: 0.40 Lm: 7.125 (7.125) Lt: 6.479 (6.479) Accm: 1.76 (1.76) Acct: 2.94 (2.94) proj_loss: 0.0000 (0.0000) time: 0.3766 data: 0.0003
[11-26 16:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:10:43 tlr: 0.00024 tnm: 0.40 Lm: 7.001 (7.001) Lt: 6.342 (6.342) Accm: 2.05 (2.05) Acct: 3.19 (3.19) proj_loss: 0.0000 (0.0000) time: 0.3856 data: 0.0003
[11-26 16:42:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 0/1669] eta: 0:10:30 tlr: 0.00024 tnm: 0.40 Lm: 6.797 (6.797) Lt: 6.174 (6.174) Accm: 2.94 (2.94) Acct: 4.65 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3777 data: 0.0004
[11-26 16:45:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.870 (6.870) Lt: 6.244 (6.244) Accm: 2.61 (2.61) Acct: 4.11 (4.11) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:45:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 7.020 (7.020) Lt: 6.371 (6.371) Accm: 2.01 (2.01) Acct: 3.15 (3.15) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:45:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.951 (6.951) Lt: 6.288 (6.288) Accm: 2.18 (2.18) Acct: 3.53 (3.53) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:45:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.914 (6.914) Lt: 6.233 (6.233) Accm: 2.41 (2.41) Acct: 3.70 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:47:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.40 Lm: 7.003 (6.948) Lt: 6.319 (6.280) Accm: 2.28 (2.23) Acct: 3.58 (3.40) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 16:47:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.40 Lm: 6.918 (6.886) Lt: 6.269 (6.252) Accm: 2.28 (2.45) Acct: 3.56 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 16:47:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.40 Lm: 6.998 (6.966) Lt: 6.349 (6.308) Accm: 2.16 (2.17) Acct: 3.51 (3.52) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 16:47:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.40 Lm: 7.001 (7.012) Lt: 6.342 (6.357) Accm: 2.05 (2.09) Acct: 3.19 (3.24) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 16:50:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.37 Lm: 6.999 (6.985) Lt: 6.335 (6.334) Accm: 2.16 (2.14) Acct: 3.31 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:50:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.37 Lm: 6.986 (6.968) Lt: 6.341 (6.314) Accm: 2.21 (2.19) Acct: 3.55 (3.54) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:50:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.37 Lm: 6.914 (6.893) Lt: 6.233 (6.215) Accm: 2.41 (2.44) Acct: 3.70 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:50:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.37 Lm: 6.930 (6.918) Lt: 6.291 (6.283) Accm: 2.21 (2.31) Acct: 3.51 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 16:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.942 (6.956) Lt: 6.314 (6.321) Accm: 2.13 (2.26) Acct: 3.46 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0021
[11-26 16:52:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:36 (0.382 s / it)
[11-26 16:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.988 (6.972) Lt: 6.333 (6.311) Accm: 2.26 (2.22) Acct: 3.58 (3.59) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0017
[11-26 16:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 6.997 (6.976) Lt: 6.329 (6.326) Accm: 2.26 (2.18) Acct: 3.43 (3.37) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0015
[11-26 16:52:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 22/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.39 Lm: 7.003 (6.938) Lt: 6.319 (6.272) Accm: 2.28 (2.37) Acct: 3.58 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0013
[11-26 16:52:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:36 (0.382 s / it)
[11-26 16:52:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:36 (0.382 s / it)
[11-26 16:52:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 22/350] Total time: 0:10:36 (0.382 s / it)
[11-26 16:52:59] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 6.953 (6.953), Lt: 6.292 (6.292), Acc m&t: 2.27 3.53, Remain: 2 days, 10:05:49, Finish: 2024-11-28 10:58
[11-26 16:52:59] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 6.953 (6.953), Lt: 6.292 (6.292), Acc m&t: 2.27 3.53, Remain: 2 days, 10:06:10, Finish: 2024-11-28 10:59
[11-26 16:52:59] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 6.953 (6.953), Lt: 6.292 (6.292), Acc m&t: 2.27 3.53, Remain: 2 days, 10:06:27, Finish: 2024-11-28 10:59
[11-26 16:52:59] (/home/user/VAR/train.py , line 276)=> [ep22] (training ) Lm: 6.953 (6.953), Lt: 6.292 (6.292), Acc m&t: 2.27 3.53, Remain: 2 days, 10:05:34, Finish: 2024-11-28 10:58
[11-26 16:53:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:26 tlr: 0.00024 tnm: 0.43 Lm: 6.947 (6.947) Lt: 6.262 (6.262) Accm: 2.48 (2.48) Acct: 3.94 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3756 data: 0.0003
[11-26 16:53:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.43 Lm: 6.999 (6.999) Lt: 6.336 (6.336) Accm: 2.08 (2.08) Acct: 3.34 (3.34) proj_loss: 0.0000 (0.0000) time: 0.3761 data: 0.0003
[11-26 16:53:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:27 tlr: 0.00024 tnm: 0.43 Lm: 6.933 (6.933) Lt: 6.222 (6.222) Accm: 2.37 (2.37) Acct: 3.65 (3.65) proj_loss: 0.0000 (0.0000) time: 0.3762 data: 0.0003
[11-26 16:53:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 0/1669] eta: 0:10:28 tlr: 0.00024 tnm: 0.43 Lm: 6.918 (6.918) Lt: 6.269 (6.269) Accm: 2.26 (2.26) Acct: 3.31 (3.31) proj_loss: 0.0000 (0.0000) time: 0.3763 data: 0.0004
[11-26 16:55:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:08:16 tlr: 0.00024 tnm: 0.36 Lm: 6.917 (6.917) Lt: 6.288 (6.288) Accm: 2.29 (2.29) Acct: 3.31 (3.31) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 16:55:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:08:16 tlr: 0.00024 tnm: 0.36 Lm: 6.964 (6.964) Lt: 6.288 (6.288) Accm: 2.13 (2.13) Acct: 3.44 (3.44) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 16:55:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:08:16 tlr: 0.00024 tnm: 0.36 Lm: 6.943 (6.943) Lt: 6.273 (6.273) Accm: 2.23 (2.23) Acct: 3.49 (3.49) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0003
[11-26 16:55:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 417/1669] eta: 0:08:16 tlr: 0.00024 tnm: 0.36 Lm: 6.921 (6.921) Lt: 6.214 (6.214) Accm: 2.33 (2.33) Acct: 3.62 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 16:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:05:24 tlr: 0.00024 tnm: 0.34 Lm: 6.909 (6.905) Lt: 6.216 (6.215) Accm: 2.37 (2.35) Acct: 3.65 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:05:24 tlr: 0.00024 tnm: 0.34 Lm: 6.942 (6.957) Lt: 6.302 (6.292) Accm: 2.18 (2.24) Acct: 3.55 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:05:24 tlr: 0.00024 tnm: 0.34 Lm: 6.918 (6.939) Lt: 6.308 (6.299) Accm: 2.26 (2.27) Acct: 3.32 (3.33) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 16:58:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [ 834/1669] eta: 0:05:24 tlr: 0.00024 tnm: 0.34 Lm: 6.939 (6.937) Lt: 6.262 (6.253) Accm: 2.48 (2.33) Acct: 3.94 (3.71) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0002
[11-26 17:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:41 tlr: 0.00024 tnm: 0.37 Lm: 6.943 (6.977) Lt: 6.273 (6.307) Accm: 2.29 (2.27) Acct: 3.58 (3.59) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 17:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:41 tlr: 0.00024 tnm: 0.37 Lm: 6.957 (6.960) Lt: 6.312 (6.300) Accm: 2.20 (2.23) Acct: 3.44 (3.44) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 17:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:41 tlr: 0.00024 tnm: 0.37 Lm: 6.891 (6.887) Lt: 6.211 (6.207) Accm: 2.38 (2.38) Acct: 3.65 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 17:01:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1251/1669] eta: 0:02:41 tlr: 0.00024 tnm: 0.37 Lm: 6.939 (6.944) Lt: 6.295 (6.295) Accm: 2.29 (2.28) Acct: 3.35 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.937 (6.943) Lt: 6.290 (6.294) Accm: 2.32 (2.29) Acct: 3.37 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0018
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:10:41 (0.385 s / it)
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.942 (6.934) Lt: 6.302 (6.254) Accm: 2.21 (2.29) Acct: 3.55 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0017
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.909 (6.895) Lt: 6.216 (6.226) Accm: 2.37 (2.35) Acct: 3.65 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0022
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 23/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.947 (6.994) Lt: 6.283 (6.326) Accm: 2.09 (2.20) Acct: 3.22 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0013
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:10:41 (0.385 s / it)
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:10:41 (0.385 s / it)
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 23/350] Total time: 0:10:41 (0.385 s / it)
[11-26 17:03:41] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 6.939 (6.939), Lt: 6.275 (6.275), Acc m&t: 2.32 3.59, Remain: 2 days, 9:53:46, Finish: 2024-11-28 10:57
[11-26 17:03:41] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 6.939 (6.939), Lt: 6.275 (6.275), Acc m&t: 2.32 3.59, Remain: 2 days, 9:53:22, Finish: 2024-11-28 10:57
[11-26 17:03:41] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 6.939 (6.939), Lt: 6.275 (6.275), Acc m&t: 2.32 3.59, Remain: 2 days, 9:53:39, Finish: 2024-11-28 10:57
[11-26 17:03:41] (/home/user/VAR/train.py , line 276)=> [ep23] (training ) Lm: 6.939 (6.939), Lt: 6.275 (6.275), Acc m&t: 2.32 3.59, Remain: 2 days, 9:53:04, Finish: 2024-11-28 10:56
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:10:44 tlr: 0.00024 tnm: 0.40 Lm: 7.064 (7.064) Lt: 6.455 (6.455) Accm: 2.11 (2.11) Acct: 3.31 (3.31) proj_loss: 0.0000 (0.0000) time: 0.3862 data: 0.0004
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:10:47 tlr: 0.00024 tnm: 0.40 Lm: 6.819 (6.819) Lt: 6.082 (6.082) Accm: 2.52 (2.52) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3877 data: 0.0003
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:10:47 tlr: 0.00024 tnm: 0.40 Lm: 6.750 (6.750) Lt: 6.037 (6.037) Accm: 2.70 (2.70) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3878 data: 0.0005
[11-26 17:03:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 0/1669] eta: 0:10:45 tlr: 0.00024 tnm: 0.40 Lm: 6.983 (6.983) Lt: 6.304 (6.304) Accm: 2.11 (2.11) Acct: 3.15 (3.15) proj_loss: 0.0000 (0.0000) time: 0.3865 data: 0.0003
[11-26 17:06:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.905 (6.905) Lt: 6.206 (6.206) Accm: 2.25 (2.25) Acct: 3.37 (3.37) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-26 17:06:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.834 (6.834) Lt: 6.130 (6.130) Accm: 2.51 (2.51) Acct: 3.93 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-26 17:06:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.955 (6.955) Lt: 6.280 (6.280) Accm: 2.30 (2.30) Acct: 3.70 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-26 17:06:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.849 (6.849) Lt: 6.172 (6.172) Accm: 2.41 (2.41) Acct: 3.83 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-26 17:08:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:05:18 tlr: 0.00024 tnm: 0.40 Lm: 6.929 (6.876) Lt: 6.291 (6.211) Accm: 2.37 (2.39) Acct: 3.62 (3.76) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 17:08:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:05:18 tlr: 0.00024 tnm: 0.40 Lm: 7.003 (6.971) Lt: 6.349 (6.303) Accm: 2.22 (2.27) Acct: 3.60 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 17:08:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:05:18 tlr: 0.00024 tnm: 0.40 Lm: 6.849 (6.853) Lt: 6.179 (6.161) Accm: 2.49 (2.44) Acct: 3.91 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 17:08:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [ 834/1669] eta: 0:05:18 tlr: 0.00024 tnm: 0.40 Lm: 6.959 (6.923) Lt: 6.275 (6.229) Accm: 2.24 (2.25) Acct: 3.58 (3.48) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 17:11:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.895 (6.900) Lt: 6.209 (6.207) Accm: 2.32 (2.35) Acct: 3.64 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 17:11:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.980 (6.968) Lt: 6.309 (6.294) Accm: 2.30 (2.30) Acct: 3.70 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 17:11:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.935 (6.892) Lt: 6.277 (6.224) Accm: 2.37 (2.39) Acct: 3.59 (3.71) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 17:11:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.36 Lm: 6.870 (6.872) Lt: 6.199 (6.175) Accm: 2.48 (2.44) Acct: 3.93 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 17:14:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.35 Lm: 6.890 (6.895) Lt: 6.219 (6.202) Accm: 2.46 (2.38) Acct: 3.91 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0016
[11-26 17:14:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:10:35 (0.381 s / it)
[11-26 17:14:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.35 Lm: 6.957 (6.943) Lt: 6.269 (6.269) Accm: 2.38 (2.36) Acct: 3.81 (3.73) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0018
[11-26 17:14:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.35 Lm: 6.843 (6.888) Lt: 6.151 (6.196) Accm: 2.40 (2.41) Acct: 3.70 (3.73) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0014
[11-26 17:14:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 24/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.35 Lm: 6.929 (6.881) Lt: 6.263 (6.204) Accm: 2.37 (2.36) Acct: 3.56 (3.65) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0016
[11-26 17:14:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:10:35 (0.381 s / it)
[11-26 17:14:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:10:35 (0.381 s / it)
[11-26 17:14:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 24/350] Total time: 0:10:35 (0.381 s / it)
[11-26 17:14:16] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 6.924 (6.924), Lt: 6.251 (6.251), Acc m&t: 2.34 3.65, Remain: 2 days, 9:49:10, Finish: 2024-11-28 11:03
[11-26 17:14:16] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 6.924 (6.924), Lt: 6.251 (6.251), Acc m&t: 2.34 3.65, Remain: 2 days, 9:48:09, Finish: 2024-11-28 11:02
[11-26 17:14:16] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 6.924 (6.924), Lt: 6.251 (6.251), Acc m&t: 2.34 3.65, Remain: 2 days, 9:48:17, Finish: 2024-11-28 11:02
[11-26 17:14:16] (/home/user/VAR/train.py , line 276)=> [ep24] (training ) Lm: 6.924 (6.924), Lt: 6.251 (6.251), Acc m&t: 2.34 3.65, Remain: 2 days, 9:47:57, Finish: 2024-11-28 11:02
[11-26 17:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:10:28 tlr: 0.00024 tnm: 0.34 Lm: 6.924 (6.924) Lt: 6.208 (6.208) Accm: 2.14 (2.14) Acct: 3.41 (3.41) proj_loss: 0.0000 (0.0000) time: 0.3765 data: 0.0004
[11-26 17:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:10:28 tlr: 0.00024 tnm: 0.34 Lm: 6.864 (6.864) Lt: 6.240 (6.240) Accm: 2.64 (2.64) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0003
[11-26 17:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.34 Lm: 6.846 (6.846) Lt: 6.146 (6.146) Accm: 2.23 (2.23) Acct: 3.43 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3770 data: 0.0003
[11-26 17:14:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 0/1669] eta: 0:10:28 tlr: 0.00024 tnm: 0.34 Lm: 7.017 (7.017) Lt: 6.406 (6.406) Accm: 2.00 (2.00) Acct: 3.17 (3.17) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0003
[11-26 17:16:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.37 Lm: 6.985 (6.985) Lt: 6.363 (6.363) Accm: 2.16 (2.16) Acct: 3.24 (3.24) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 17:16:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.37 Lm: 6.835 (6.835) Lt: 6.142 (6.142) Accm: 2.35 (2.35) Acct: 3.60 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 17:16:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.37 Lm: 6.948 (6.948) Lt: 6.271 (6.271) Accm: 2.09 (2.09) Acct: 3.28 (3.28) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 17:16:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.37 Lm: 6.919 (6.919) Lt: 6.258 (6.258) Accm: 2.48 (2.48) Acct: 4.01 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 17:19:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.36 Lm: 6.907 (6.915) Lt: 6.240 (6.244) Accm: 2.32 (2.36) Acct: 3.94 (3.76) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 17:19:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.36 Lm: 6.953 (6.969) Lt: 6.319 (6.317) Accm: 2.18 (2.17) Acct: 3.31 (3.42) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 17:19:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.36 Lm: 6.937 (6.945) Lt: 6.222 (6.255) Accm: 2.14 (2.29) Acct: 3.41 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 17:19:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.36 Lm: 6.825 (6.805) Lt: 6.139 (6.108) Accm: 2.46 (2.45) Acct: 3.77 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 17:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.38 Lm: 6.793 (6.794) Lt: 6.100 (6.096) Accm: 2.57 (2.53) Acct: 3.88 (3.81) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 17:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.38 Lm: 6.927 (6.923) Lt: 6.258 (6.262) Accm: 2.32 (2.35) Acct: 3.61 (3.64) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 17:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.38 Lm: 6.959 (6.968) Lt: 6.312 (6.314) Accm: 2.20 (2.18) Acct: 3.34 (3.41) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 17:22:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.38 Lm: 6.955 (6.952) Lt: 6.245 (6.258) Accm: 2.17 (2.27) Acct: 3.37 (3.59) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.972 (6.960) Lt: 6.268 (6.267) Accm: 2.19 (2.30) Acct: 3.41 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0013
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:36 (0.381 s / it)
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.965 (6.990) Lt: 6.319 (6.335) Accm: 2.18 (2.14) Acct: 3.31 (3.34) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0019
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.907 (6.885) Lt: 6.240 (6.222) Accm: 2.32 (2.44) Acct: 3.94 (3.81) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0019
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 25/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.37 Lm: 6.825 (6.806) Lt: 6.139 (6.109) Accm: 2.46 (2.49) Acct: 3.77 (3.78) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0018
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:36 (0.381 s / it)
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:36 (0.381 s / it)
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 25/350] Total time: 0:10:36 (0.381 s / it)
[11-26 17:24:53] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 6.924 (6.931), Lt: 6.251 (6.259), Acc m&t: 2.34 3.65, Remain: 2 days, 9:41:37, Finish: 2024-11-28 11:06
[11-26 17:24:53] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 6.924 (6.931), Lt: 6.251 (6.259), Acc m&t: 2.34 3.65, Remain: 2 days, 9:40:26, Finish: 2024-11-28 11:05
[11-26 17:24:53] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 6.924 (6.931), Lt: 6.251 (6.259), Acc m&t: 2.34 3.65, Remain: 2 days, 9:41:45, Finish: 2024-11-28 11:06
[11-26 17:24:53] (/home/user/VAR/train.py , line 276)=> [ep25] (training ) Lm: 6.924 (6.931), Lt: 6.251 (6.259), Acc m&t: 2.34 3.65, Remain: 2 days, 9:39:35, Finish: 2024-11-28 11:04
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.37 Lm: 7.003 (7.003) Lt: 6.299 (6.299) Accm: 2.03 (2.03) Acct: 3.24 (3.24) proj_loss: 0.0000 (0.0000) time: 0.3772 data: 0.0003
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.37 Lm: 6.998 (6.998) Lt: 6.344 (6.344) Accm: 2.23 (2.23) Acct: 3.43 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3774 data: 0.0004
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:10:30 tlr: 0.00024 tnm: 0.37 Lm: 7.062 (7.062) Lt: 6.429 (6.429) Accm: 2.09 (2.09) Acct: 3.10 (3.10) proj_loss: 0.0000 (0.0000) time: 0.3777 data: 0.0003
[11-26 17:24:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.37 Lm: 6.876 (6.876) Lt: 6.161 (6.161) Accm: 2.53 (2.53) Acct: 3.96 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3773 data: 0.0004
[11-26 17:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:08:34 tlr: 0.00024 tnm: 0.34 Lm: 6.865 (6.865) Lt: 6.153 (6.153) Accm: 2.47 (2.47) Acct: 3.76 (3.76) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 17:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:08:34 tlr: 0.00024 tnm: 0.34 Lm: 6.982 (6.982) Lt: 6.299 (6.299) Accm: 2.30 (2.30) Acct: 3.64 (3.64) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 17:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:08:34 tlr: 0.00024 tnm: 0.34 Lm: 6.977 (6.977) Lt: 6.293 (6.293) Accm: 2.14 (2.14) Acct: 3.41 (3.41) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 17:27:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 417/1669] eta: 0:08:34 tlr: 0.00024 tnm: 0.34 Lm: 6.973 (6.973) Lt: 6.303 (6.303) Accm: 2.20 (2.20) Acct: 3.30 (3.30) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 17:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:05:30 tlr: 0.00024 tnm: 0.34 Lm: 6.932 (6.960) Lt: 6.257 (6.288) Accm: 2.23 (2.21) Acct: 3.36 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 17:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:05:30 tlr: 0.00024 tnm: 0.34 Lm: 6.854 (6.822) Lt: 6.144 (6.120) Accm: 2.53 (2.54) Acct: 3.96 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 17:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:05:30 tlr: 0.00024 tnm: 0.34 Lm: 6.998 (6.991) Lt: 6.344 (6.322) Accm: 2.23 (2.22) Acct: 3.43 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 17:30:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [ 834/1669] eta: 0:05:30 tlr: 0.00024 tnm: 0.34 Lm: 6.952 (6.923) Lt: 6.288 (6.229) Accm: 2.26 (2.30) Acct: 3.58 (3.59) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 17:33:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:43 tlr: 0.00024 tnm: 0.35 Lm: 6.977 (6.958) Lt: 6.293 (6.288) Accm: 2.17 (2.25) Acct: 3.41 (3.45) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 17:33:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:43 tlr: 0.00024 tnm: 0.35 Lm: 6.982 (6.954) Lt: 6.299 (6.270) Accm: 2.30 (2.30) Acct: 3.64 (3.65) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 17:33:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:43 tlr: 0.00024 tnm: 0.35 Lm: 6.865 (6.878) Lt: 6.153 (6.193) Accm: 2.47 (2.38) Acct: 3.76 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 17:33:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1251/1669] eta: 0:02:43 tlr: 0.00024 tnm: 0.35 Lm: 6.984 (6.978) Lt: 6.328 (6.315) Accm: 2.16 (2.14) Acct: 3.23 (3.26) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0002
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.984 (6.980) Lt: 6.294 (6.311) Accm: 2.23 (2.17) Acct: 3.36 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0015
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:10:48 (0.388 s / it)
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.980 (6.959) Lt: 6.307 (6.278) Accm: 2.29 (2.29) Acct: 3.56 (3.64) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0019
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.876 (6.895) Lt: 6.161 (6.218) Accm: 2.40 (2.30) Acct: 3.56 (3.54) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0015
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 26/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.952 (6.933) Lt: 6.288 (6.254) Accm: 2.26 (2.28) Acct: 3.58 (3.55) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0013
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:10:48 (0.388 s / it)
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:10:48 (0.388 s / it)
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 26/350] Total time: 0:10:48 (0.388 s / it)
[11-26 17:35:41] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 6.924 (6.926), Lt: 6.251 (6.251), Acc m&t: 2.34 3.67, Remain: 2 days, 9:17:56, Finish: 2024-11-28 10:53
[11-26 17:35:41] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 6.924 (6.926), Lt: 6.251 (6.251), Acc m&t: 2.34 3.67, Remain: 2 days, 9:17:06, Finish: 2024-11-28 10:52
[11-26 17:35:41] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 6.924 (6.926), Lt: 6.251 (6.251), Acc m&t: 2.34 3.67, Remain: 2 days, 9:17:06, Finish: 2024-11-28 10:52
[11-26 17:35:41] (/home/user/VAR/train.py , line 276)=> [ep26] (training ) Lm: 6.924 (6.926), Lt: 6.251 (6.251), Acc m&t: 2.34 3.67, Remain: 2 days, 9:17:58, Finish: 2024-11-28 10:53
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:10:23 tlr: 0.00024 tnm: 0.33 Lm: 6.937 (6.937) Lt: 6.274 (6.274) Accm: 2.34 (2.34) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3738 data: 0.0004
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:10:24 tlr: 0.00024 tnm: 0.33 Lm: 6.773 (6.773) Lt: 6.074 (6.074) Accm: 2.81 (2.81) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3742 data: 0.0003
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:10:24 tlr: 0.00024 tnm: 0.33 Lm: 6.938 (6.938) Lt: 6.233 (6.233) Accm: 2.45 (2.45) Acct: 3.93 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3743 data: 0.0004
[11-26 17:35:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 0/1669] eta: 0:10:24 tlr: 0.00024 tnm: 0.33 Lm: 6.963 (6.963) Lt: 6.309 (6.309) Accm: 2.37 (2.37) Acct: 3.70 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3739 data: 0.0004
[11-26 17:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.34 Lm: 6.820 (6.820) Lt: 6.144 (6.144) Accm: 2.76 (2.76) Acct: 4.38 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 17:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.34 Lm: 6.884 (6.884) Lt: 6.203 (6.203) Accm: 2.41 (2.41) Acct: 3.68 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 17:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.34 Lm: 6.928 (6.928) Lt: 6.261 (6.261) Accm: 2.41 (2.41) Acct: 3.80 (3.80) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 17:38:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.34 Lm: 6.933 (6.933) Lt: 6.250 (6.250) Accm: 2.21 (2.21) Acct: 3.43 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 17:40:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:05:18 tlr: 0.00024 tnm: 0.37 Lm: 6.927 (6.894) Lt: 6.233 (6.201) Accm: 2.45 (2.30) Acct: 3.93 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 17:40:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:05:18 tlr: 0.00024 tnm: 0.37 Lm: 6.937 (6.941) Lt: 6.254 (6.259) Accm: 2.34 (2.29) Acct: 3.74 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 17:40:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:05:18 tlr: 0.00024 tnm: 0.37 Lm: 6.877 (6.839) Lt: 6.192 (6.160) Accm: 2.37 (2.61) Acct: 3.70 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 17:40:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [ 834/1669] eta: 0:05:18 tlr: 0.00024 tnm: 0.37 Lm: 6.994 (6.949) Lt: 6.332 (6.252) Accm: 2.07 (2.30) Acct: 3.31 (3.56) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 17:43:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.40 Lm: 6.928 (6.927) Lt: 6.239 (6.225) Accm: 2.28 (2.35) Acct: 3.68 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 17:43:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.40 Lm: 6.930 (6.936) Lt: 6.264 (6.262) Accm: 2.27 (2.27) Acct: 3.61 (3.56) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 17:43:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.40 Lm: 6.933 (6.919) Lt: 6.250 (6.228) Accm: 2.23 (2.23) Acct: 3.45 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 17:43:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.40 Lm: 6.824 (6.822) Lt: 6.122 (6.133) Accm: 2.55 (2.64) Acct: 3.91 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 17:46:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.775 (6.813) Lt: 6.095 (6.126) Accm: 2.64 (2.64) Acct: 4.12 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0018
[11-26 17:46:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:10:35 (0.381 s / it)
[11-26 17:46:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.937 (6.950) Lt: 6.273 (6.286) Accm: 2.27 (2.27) Acct: 3.48 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0016
[11-26 17:46:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.889 (6.919) Lt: 6.245 (6.229) Accm: 2.41 (2.36) Acct: 3.63 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0018
[11-26 17:46:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 27/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.938 (6.927) Lt: 6.266 (6.240) Accm: 2.29 (2.24) Acct: 3.55 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0017
[11-26 17:46:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:10:35 (0.381 s / it)
[11-26 17:46:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:10:35 (0.381 s / it)
[11-26 17:46:16] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 27/350] Total time: 0:10:35 (0.381 s / it)
[11-26 17:46:16] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 6.905 (6.905), Lt: 6.224 (6.224), Acc m&t: 2.38 3.72, Remain: 2 days, 9:08:23, Finish: 2024-11-28 10:54
[11-26 17:46:16] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 6.905 (6.905), Lt: 6.224 (6.224), Acc m&t: 2.38 3.72, Remain: 2 days, 9:09:47, Finish: 2024-11-28 10:56
[11-26 17:46:16] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 6.905 (6.905), Lt: 6.224 (6.224), Acc m&t: 2.38 3.72, Remain: 2 days, 9:10:13, Finish: 2024-11-28 10:56
[11-26 17:46:16] (/home/user/VAR/train.py , line 276)=> [ep27] (training ) Lm: 6.905 (6.905), Lt: 6.224 (6.224), Acc m&t: 2.38 3.72, Remain: 2 days, 9:08:42, Finish: 2024-11-28 10:54
[11-26 17:46:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.33 Lm: 6.979 (6.979) Lt: 6.309 (6.309) Accm: 2.27 (2.27) Acct: 3.32 (3.32) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0003
[11-26 17:46:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.33 Lm: 6.976 (6.976) Lt: 6.294 (6.294) Accm: 2.30 (2.30) Acct: 3.65 (3.65) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0004
[11-26 17:46:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:10:35 tlr: 0.00024 tnm: 0.33 Lm: 7.005 (7.005) Lt: 6.319 (6.319) Accm: 2.27 (2.27) Acct: 3.55 (3.55) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0003
[11-26 17:46:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 0/1669] eta: 0:10:28 tlr: 0.00024 tnm: 0.33 Lm: 6.897 (6.897) Lt: 6.238 (6.238) Accm: 2.24 (2.24) Acct: 3.68 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3763 data: 0.0004
[11-26 17:48:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.37 Lm: 6.870 (6.870) Lt: 6.189 (6.189) Accm: 2.56 (2.56) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 17:48:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.37 Lm: 6.975 (6.975) Lt: 6.305 (6.305) Accm: 2.32 (2.32) Acct: 3.63 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 17:48:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.37 Lm: 6.941 (6.941) Lt: 6.244 (6.244) Accm: 2.33 (2.33) Acct: 3.46 (3.46) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 17:48:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.37 Lm: 6.872 (6.872) Lt: 6.182 (6.182) Accm: 2.60 (2.60) Acct: 4.11 (4.11) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 17:51:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.34 Lm: 6.851 (6.865) Lt: 6.231 (6.198) Accm: 2.62 (2.61) Acct: 3.89 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-26 17:51:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.34 Lm: 6.945 (6.895) Lt: 6.292 (6.202) Accm: 2.37 (2.51) Acct: 3.72 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-26 17:51:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.34 Lm: 6.897 (6.883) Lt: 6.238 (6.208) Accm: 2.31 (2.48) Acct: 3.68 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-26 17:51:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.34 Lm: 6.903 (6.905) Lt: 6.179 (6.210) Accm: 2.39 (2.45) Acct: 3.60 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-26 17:54:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.36 Lm: 6.868 (6.887) Lt: 6.161 (6.186) Accm: 2.49 (2.49) Acct: 3.81 (3.77) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 17:54:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.36 Lm: 6.851 (6.860) Lt: 6.168 (6.162) Accm: 2.55 (2.56) Acct: 4.03 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 17:54:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.36 Lm: 6.842 (6.857) Lt: 6.171 (6.176) Accm: 2.46 (2.51) Acct: 3.77 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 17:54:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1251/1669] eta: 0:02:38 tlr: 0.00024 tnm: 0.36 Lm: 6.894 (6.885) Lt: 6.236 (6.215) Accm: 2.39 (2.47) Acct: 3.73 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 17:56:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.893 (6.867) Lt: 6.194 (6.169) Accm: 2.37 (2.50) Acct: 3.72 (3.92) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0018
[11-26 17:56:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.851 (6.880) Lt: 6.231 (6.198) Accm: 2.43 (2.49) Acct: 3.89 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0016
[11-26 17:56:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.903 (6.895) Lt: 6.179 (6.202) Accm: 2.39 (2.43) Acct: 3.60 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0018
[11-26 17:56:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 28/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.32 Lm: 6.897 (6.912) Lt: 6.238 (6.238) Accm: 2.31 (2.43) Acct: 3.68 (3.76) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0014
[11-26 17:56:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:34 (0.380 s / it)
[11-26 17:56:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:34 (0.380 s / it)
[11-26 17:56:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:34 (0.380 s / it)
[11-26 17:56:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 28/350] Total time: 0:10:34 (0.380 s / it)
[11-26 17:56:51] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 6.905 (6.908), Lt: 6.224 (6.230), Acc m&t: 2.38 3.72, Remain: 2 days, 9:05:54, Finish: 2024-11-28 11:02
[11-26 17:56:51] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 6.905 (6.908), Lt: 6.224 (6.230), Acc m&t: 2.38 3.72, Remain: 2 days, 9:06:43, Finish: 2024-11-28 11:03
[11-26 17:56:51] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 6.905 (6.908), Lt: 6.224 (6.230), Acc m&t: 2.38 3.72, Remain: 2 days, 9:07:26, Finish: 2024-11-28 11:04
[11-26 17:56:51] (/home/user/VAR/train.py , line 276)=> [ep28] (training ) Lm: 6.905 (6.908), Lt: 6.224 (6.230), Acc m&t: 2.38 3.72, Remain: 2 days, 9:04:46, Finish: 2024-11-28 11:01
[11-26 17:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.32 Lm: 6.979 (6.979) Lt: 6.324 (6.324) Accm: 2.13 (2.13) Acct: 3.48 (3.48) proj_loss: 0.0000 (0.0000) time: 0.3772 data: 0.0004
[11-26 17:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.32 Lm: 7.000 (7.000) Lt: 6.370 (6.370) Accm: 1.99 (1.99) Acct: 2.96 (2.96) proj_loss: 0.0000 (0.0000) time: 0.3772 data: 0.0004
[11-26 17:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:10:29 tlr: 0.00024 tnm: 0.32 Lm: 6.862 (6.862) Lt: 6.140 (6.140) Accm: 2.31 (2.31) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3774 data: 0.0003
[11-26 17:56:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 0/1669] eta: 0:10:31 tlr: 0.00024 tnm: 0.32 Lm: 6.825 (6.825) Lt: 6.177 (6.177) Accm: 2.83 (2.83) Acct: 4.51 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3782 data: 0.0003
[11-26 17:59:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:08:52 tlr: 0.00024 tnm: 0.37 Lm: 6.808 (6.808) Lt: 6.121 (6.121) Accm: 2.63 (2.63) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 17:59:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:08:52 tlr: 0.00024 tnm: 0.37 Lm: 6.896 (6.896) Lt: 6.220 (6.220) Accm: 2.45 (2.45) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 17:59:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:08:52 tlr: 0.00024 tnm: 0.37 Lm: 6.884 (6.884) Lt: 6.202 (6.202) Accm: 2.29 (2.29) Acct: 3.64 (3.64) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 17:59:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 417/1669] eta: 0:08:52 tlr: 0.00024 tnm: 0.37 Lm: 6.961 (6.961) Lt: 6.309 (6.309) Accm: 2.27 (2.27) Acct: 3.46 (3.46) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 18:02:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:05:36 tlr: 0.00024 tnm: 0.33 Lm: 6.939 (6.954) Lt: 6.280 (6.300) Accm: 2.32 (2.29) Acct: 3.48 (3.47) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 18:02:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:05:36 tlr: 0.00024 tnm: 0.33 Lm: 6.870 (6.879) Lt: 6.140 (6.180) Accm: 2.31 (2.36) Acct: 3.74 (3.71) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 18:02:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:05:36 tlr: 0.00024 tnm: 0.33 Lm: 6.901 (6.898) Lt: 6.189 (6.209) Accm: 2.19 (2.36) Acct: 3.48 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 18:02:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [ 834/1669] eta: 0:05:36 tlr: 0.00024 tnm: 0.33 Lm: 6.825 (6.841) Lt: 6.177 (6.147) Accm: 2.42 (2.53) Acct: 3.84 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 18:05:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:45 tlr: 0.00024 tnm: 0.36 Lm: 6.808 (6.828) Lt: 6.144 (6.138) Accm: 2.53 (2.56) Acct: 4.02 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 18:05:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:45 tlr: 0.00024 tnm: 0.36 Lm: 6.891 (6.893) Lt: 6.198 (6.209) Accm: 2.27 (2.36) Acct: 3.63 (3.76) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 18:05:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:45 tlr: 0.00024 tnm: 0.36 Lm: 6.866 (6.850) Lt: 6.138 (6.151) Accm: 2.40 (2.43) Acct: 3.80 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 18:05:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1251/1669] eta: 0:02:45 tlr: 0.00024 tnm: 0.36 Lm: 6.931 (6.921) Lt: 6.265 (6.265) Accm: 2.44 (2.37) Acct: 3.72 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 18:07:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.922 (6.913) Lt: 6.249 (6.252) Accm: 2.42 (2.38) Acct: 3.58 (3.61) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0017
[11-26 18:07:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:10:53 (0.392 s / it)
[11-26 18:07:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.901 (6.896) Lt: 6.207 (6.209) Accm: 2.35 (2.37) Acct: 3.79 (3.81) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0016
[11-26 18:07:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.825 (6.862) Lt: 6.177 (6.177) Accm: 2.42 (2.45) Acct: 3.84 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0014
[11-26 18:07:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 29/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.33 Lm: 6.870 (6.860) Lt: 6.140 (6.170) Accm: 2.31 (2.40) Acct: 3.74 (3.77) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0019
[11-26 18:07:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:10:53 (0.392 s / it)
[11-26 18:07:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:10:53 (0.392 s / it)
[11-26 18:07:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 29/350] Total time: 0:10:53 (0.392 s / it)
[11-26 18:09:54] (home/user/VAR/trainer.py, line 114)=> FID: 6.926536159238083
[11-26 18:09:54] (/home/user/VAR/train.py , line 259)=> [*] [ep29] (val 50000) Lm: 6.9031, Lt: 6.2209, Acc m&t: 2.36 3.70, Val cost: 128.66s
[11-26 18:09:54] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-26 18:10:16] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 6.903 (6.903), Lt: 6.221 (6.221), Acc m&t: 2.38 3.72, Remain: 2 days, 8:58:13, Finish: 2024-11-28 11:05
[11-26 18:10:16] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 6.903 (6.903), Lt: 6.221 (6.221), Acc m&t: 2.38 3.72, Remain: 2 days, 8:58:48, Finish: 2024-11-28 11:06
[11-26 18:10:16] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 6.903 (6.903), Lt: 6.221 (6.221), Acc m&t: 2.38 3.72, Remain: 2 days, 8:58:55, Finish: 2024-11-28 11:06
[11-26 18:10:16] (/home/user/VAR/train.py , line 276)=> [ep29] (training ) Lm: 6.903 (6.903), Lt: 6.221 (6.221), Acc m&t: 2.38 3.72, Remain: 2 days, 8:59:39, Finish: 2024-11-28 11:07
[11-26 18:10:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:10:43 tlr: 0.00024 tnm: 0.36 Lm: 6.807 (6.807) Lt: 6.112 (6.112) Accm: 2.45 (2.45) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0004
[11-26 18:10:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:10:41 tlr: 0.00024 tnm: 0.36 Lm: 6.712 (6.712) Lt: 6.004 (6.004) Accm: 2.73 (2.73) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0004
[11-26 18:10:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:10:42 tlr: 0.00024 tnm: 0.36 Lm: 6.723 (6.723) Lt: 6.035 (6.035) Accm: 2.70 (2.70) Acct: 3.99 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0003
[11-26 18:10:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 0/1669] eta: 0:10:49 tlr: 0.00024 tnm: 0.36 Lm: 6.932 (6.932) Lt: 6.244 (6.244) Accm: 2.35 (2.35) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3893 data: 0.0003
[11-26 18:12:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.903 (6.903) Lt: 6.202 (6.202) Accm: 2.38 (2.38) Acct: 3.88 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 18:12:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.882 (6.882) Lt: 6.208 (6.208) Accm: 2.44 (2.44) Acct: 3.69 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 18:12:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.757 (6.757) Lt: 6.061 (6.061) Accm: 2.59 (2.59) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 18:12:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 417/1669] eta: 0:07:56 tlr: 0.00024 tnm: 0.35 Lm: 6.818 (6.818) Lt: 6.139 (6.139) Accm: 2.39 (2.39) Acct: 3.60 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 18:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.39 Lm: 6.857 (6.831) Lt: 6.148 (6.142) Accm: 2.62 (2.46) Acct: 3.99 (3.76) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 18:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.39 Lm: 6.807 (6.853) Lt: 6.129 (6.182) Accm: 2.45 (2.49) Acct: 3.72 (3.81) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 18:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.39 Lm: 6.905 (6.904) Lt: 6.208 (6.204) Accm: 2.35 (2.36) Acct: 3.93 (3.90) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 18:15:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [ 834/1669] eta: 0:05:17 tlr: 0.00024 tnm: 0.39 Lm: 6.749 (6.754) Lt: 6.004 (6.040) Accm: 2.59 (2.59) Acct: 4.27 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 18:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.34 Lm: 6.775 (6.813) Lt: 6.061 (6.122) Accm: 2.52 (2.51) Acct: 4.13 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 18:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.34 Lm: 6.843 (6.859) Lt: 6.147 (6.177) Accm: 2.44 (2.47) Acct: 3.78 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 18:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.34 Lm: 6.840 (6.829) Lt: 6.121 (6.130) Accm: 2.55 (2.47) Acct: 3.93 (3.79) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 18:18:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1251/1669] eta: 0:02:39 tlr: 0.00024 tnm: 0.34 Lm: 6.913 (6.908) Lt: 6.224 (6.213) Accm: 2.38 (2.37) Acct: 3.88 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 18:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.906 (6.908) Lt: 6.239 (6.223) Accm: 2.37 (2.37) Acct: 3.84 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0018
[11-26 18:20:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:10:35 (0.381 s / it)
[11-26 18:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.801 (6.829) Lt: 6.118 (6.137) Accm: 2.45 (2.50) Acct: 3.99 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0017
[11-26 18:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.857 (6.845) Lt: 6.148 (6.143) Accm: 2.48 (2.43) Acct: 3.86 (3.78) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0022
[11-26 18:20:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 30/350] [1668/1669] eta: 0:00:00 tlr: 0.00024 tnm: 0.34 Lm: 6.878 (6.886) Lt: 6.165 (6.204) Accm: 2.43 (2.39) Acct: 3.72 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0016
[11-26 18:20:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:10:35 (0.381 s / it)
[11-26 18:20:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:10:35 (0.381 s / it)
[11-26 18:20:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 30/350] Total time: 0:10:35 (0.381 s / it)
[11-26 18:20:51] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 6.887 (6.887), Lt: 6.201 (6.201), Acc m&t: 2.43 3.83, Remain: 2 days, 8:42:58, Finish: 2024-11-28 11:03
[11-26 18:20:51] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 6.887 (6.887), Lt: 6.201 (6.201), Acc m&t: 2.43 3.83, Remain: 2 days, 8:41:42, Finish: 2024-11-28 11:02
[11-26 18:20:51] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 6.887 (6.887), Lt: 6.201 (6.201), Acc m&t: 2.43 3.83, Remain: 2 days, 8:42:06, Finish: 2024-11-28 11:02
[11-26 18:20:51] (/home/user/VAR/train.py , line 276)=> [ep30] (training ) Lm: 6.887 (6.887), Lt: 6.201 (6.201), Acc m&t: 2.43 3.83, Remain: 2 days, 8:41:28, Finish: 2024-11-28 11:02
[11-26 18:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:10:06 tlr: 0.00024 tnm: 0.36 Lm: 6.748 (6.748) Lt: 5.982 (5.982) Accm: 2.73 (2.73) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3635 data: 0.0004
[11-26 18:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:10:07 tlr: 0.00024 tnm: 0.36 Lm: 6.985 (6.985) Lt: 6.310 (6.310) Accm: 2.19 (2.19) Acct: 3.46 (3.46) proj_loss: 0.0000 (0.0000) time: 0.3638 data: 0.0004
[11-26 18:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:10:40 tlr: 0.00024 tnm: 0.36 Lm: 6.902 (6.902) Lt: 6.186 (6.186) Accm: 2.21 (2.21) Acct: 3.75 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0004
[11-26 18:20:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 0/1669] eta: 0:10:09 tlr: 0.00024 tnm: 0.36 Lm: 7.005 (7.005) Lt: 6.404 (6.404) Accm: 1.86 (1.86) Acct: 2.84 (2.84) proj_loss: 0.0000 (0.0000) time: 0.3650 data: 0.0003
[11-26 18:23:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.34 Lm: 6.942 (6.942) Lt: 6.292 (6.292) Accm: 2.15 (2.15) Acct: 3.29 (3.29) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0002
[11-26 18:23:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.34 Lm: 6.867 (6.867) Lt: 6.138 (6.138) Accm: 2.47 (2.47) Acct: 4.00 (4.00) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 18:23:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.34 Lm: 6.933 (6.933) Lt: 6.255 (6.255) Accm: 2.25 (2.25) Acct: 3.56 (3.56) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 18:23:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.34 Lm: 6.930 (6.930) Lt: 6.222 (6.222) Accm: 2.26 (2.26) Acct: 3.77 (3.77) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 18:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.32 Lm: 6.902 (6.916) Lt: 6.207 (6.217) Accm: 2.30 (2.41) Acct: 3.79 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 18:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.32 Lm: 6.913 (6.926) Lt: 6.217 (6.242) Accm: 2.32 (2.29) Acct: 3.53 (3.55) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 18:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.32 Lm: 6.914 (6.883) Lt: 6.218 (6.164) Accm: 2.23 (2.39) Acct: 3.50 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 18:26:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.32 Lm: 6.878 (6.919) Lt: 6.180 (6.243) Accm: 2.35 (2.21) Acct: 3.68 (3.42) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-26 18:28:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:38 tlr: 0.00023 tnm: 0.34 Lm: 6.877 (6.908) Lt: 6.182 (6.228) Accm: 2.39 (2.28) Acct: 3.71 (3.52) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 18:28:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:38 tlr: 0.00023 tnm: 0.34 Lm: 6.866 (6.867) Lt: 6.164 (6.151) Accm: 2.37 (2.42) Acct: 3.61 (3.81) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 18:28:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:38 tlr: 0.00023 tnm: 0.34 Lm: 6.897 (6.900) Lt: 6.208 (6.225) Accm: 2.34 (2.38) Acct: 3.59 (3.64) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 18:28:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1251/1669] eta: 0:02:38 tlr: 0.00023 tnm: 0.34 Lm: 6.930 (6.930) Lt: 6.232 (6.231) Accm: 2.29 (2.38) Acct: 3.77 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0003
[11-26 18:31:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.902 (6.916) Lt: 6.207 (6.217) Accm: 2.30 (2.42) Acct: 3.75 (3.80) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0019
[11-26 18:31:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:36 (0.381 s / it)
[11-26 18:31:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.913 (6.930) Lt: 6.217 (6.260) Accm: 2.32 (2.28) Acct: 3.53 (3.48) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0018
[11-26 18:31:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.818 (6.835) Lt: 6.110 (6.127) Accm: 2.52 (2.53) Acct: 3.72 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0021
[11-26 18:31:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 31/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.876 (6.879) Lt: 6.180 (6.190) Accm: 2.43 (2.36) Acct: 3.74 (3.66) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0016
[11-26 18:31:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:36 (0.381 s / it)
[11-26 18:31:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:36 (0.381 s / it)
[11-26 18:31:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 31/350] Total time: 0:10:36 (0.381 s / it)
[11-26 18:31:28] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.880 (6.880), Lt: 6.190 (6.190), Acc m&t: 2.43 3.83, Remain: 2 days, 8:27:39, Finish: 2024-11-28 10:59
[11-26 18:31:28] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.880 (6.880), Lt: 6.190 (6.190), Acc m&t: 2.43 3.83, Remain: 2 days, 8:25:47, Finish: 2024-11-28 10:57
[11-26 18:31:28] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.880 (6.880), Lt: 6.190 (6.190), Acc m&t: 2.43 3.83, Remain: 2 days, 8:25:13, Finish: 2024-11-28 10:56
[11-26 18:31:28] (/home/user/VAR/train.py , line 276)=> [ep31] (training ) Lm: 6.880 (6.880), Lt: 6.190 (6.190), Acc m&t: 2.43 3.83, Remain: 2 days, 8:26:48, Finish: 2024-11-28 10:58
[11-26 18:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:10:36 tlr: 0.00023 tnm: 0.34 Lm: 6.896 (6.896) Lt: 6.190 (6.190) Accm: 2.34 (2.34) Acct: 3.60 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0004
[11-26 18:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:10:29 tlr: 0.00023 tnm: 0.34 Lm: 6.876 (6.876) Lt: 6.149 (6.149) Accm: 2.73 (2.73) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3770 data: 0.0004
[11-26 18:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:10:30 tlr: 0.00023 tnm: 0.34 Lm: 6.928 (6.928) Lt: 6.223 (6.223) Accm: 2.13 (2.13) Acct: 3.29 (3.29) proj_loss: 0.0000 (0.0000) time: 0.3775 data: 0.0004
[11-26 18:31:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 0/1669] eta: 0:10:36 tlr: 0.00023 tnm: 0.34 Lm: 6.682 (6.682) Lt: 5.947 (5.947) Accm: 2.82 (2.82) Acct: 4.63 (4.63) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0003
[11-26 18:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:09:09 tlr: 0.00023 tnm: 0.33 Lm: 6.807 (6.807) Lt: 6.083 (6.083) Accm: 2.63 (2.63) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 18:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:09:09 tlr: 0.00023 tnm: 0.33 Lm: 6.914 (6.914) Lt: 6.186 (6.186) Accm: 2.26 (2.26) Acct: 3.60 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 18:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:09:09 tlr: 0.00023 tnm: 0.33 Lm: 6.869 (6.869) Lt: 6.157 (6.157) Accm: 2.66 (2.66) Acct: 4.16 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 18:34:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 417/1669] eta: 0:09:09 tlr: 0.00023 tnm: 0.33 Lm: 6.873 (6.873) Lt: 6.211 (6.211) Accm: 2.37 (2.37) Acct: 3.68 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 18:37:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:05:42 tlr: 0.00023 tnm: 0.33 Lm: 6.896 (6.884) Lt: 6.233 (6.230) Accm: 2.34 (2.26) Acct: 3.60 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 18:37:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:05:42 tlr: 0.00023 tnm: 0.33 Lm: 6.928 (6.932) Lt: 6.223 (6.225) Accm: 2.13 (2.21) Acct: 3.55 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 18:37:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:05:42 tlr: 0.00023 tnm: 0.33 Lm: 6.863 (6.861) Lt: 6.149 (6.150) Accm: 2.58 (2.58) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 18:37:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [ 834/1669] eta: 0:05:42 tlr: 0.00023 tnm: 0.33 Lm: 6.891 (6.835) Lt: 6.219 (6.130) Accm: 2.43 (2.55) Acct: 3.81 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 18:39:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:47 tlr: 0.00023 tnm: 0.33 Lm: 6.863 (6.835) Lt: 6.171 (6.128) Accm: 2.53 (2.57) Acct: 4.03 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 18:39:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:47 tlr: 0.00023 tnm: 0.33 Lm: 6.914 (6.892) Lt: 6.186 (6.190) Accm: 2.26 (2.35) Acct: 3.73 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 18:39:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:47 tlr: 0.00023 tnm: 0.33 Lm: 6.902 (6.893) Lt: 6.248 (6.238) Accm: 2.30 (2.26) Acct: 3.56 (3.45) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 18:39:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1251/1669] eta: 0:02:47 tlr: 0.00023 tnm: 0.33 Lm: 6.868 (6.864) Lt: 6.157 (6.161) Accm: 2.53 (2.56) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.863 (6.841) Lt: 6.149 (6.131) Accm: 2.58 (2.59) Acct: 4.10 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0018
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:10:59 (0.395 s / it)
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.900 (6.878) Lt: 6.148 (6.175) Accm: 2.39 (2.44) Acct: 3.91 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0018
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.896 (6.883) Lt: 6.233 (6.219) Accm: 2.34 (2.30) Acct: 3.60 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0019
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 32/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.891 (6.858) Lt: 6.219 (6.164) Accm: 2.43 (2.53) Acct: 3.93 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0014
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:10:59 (0.395 s / it)
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:10:59 (0.395 s / it)
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 32/350] Total time: 0:10:59 (0.395 s / it)
[11-26 18:42:28] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.865 (6.865), Lt: 6.175 (6.175), Acc m&t: 2.46 3.85, Remain: 2 days, 8:24:18, Finish: 2024-11-28 11:06
[11-26 18:42:28] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.865 (6.865), Lt: 6.175 (6.175), Acc m&t: 2.46 3.85, Remain: 2 days, 8:24:39, Finish: 2024-11-28 11:07
[11-26 18:42:28] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.865 (6.865), Lt: 6.175 (6.175), Acc m&t: 2.46 3.85, Remain: 2 days, 8:23:58, Finish: 2024-11-28 11:06
[11-26 18:42:28] (/home/user/VAR/train.py , line 276)=> [ep32] (training ) Lm: 6.865 (6.865), Lt: 6.175 (6.175), Acc m&t: 2.46 3.85, Remain: 2 days, 8:24:48, Finish: 2024-11-28 11:07
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:10:30 tlr: 0.00023 tnm: 0.32 Lm: 6.888 (6.888) Lt: 6.162 (6.162) Accm: 2.64 (2.64) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3777 data: 0.0004
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:10:30 tlr: 0.00023 tnm: 0.32 Lm: 6.846 (6.846) Lt: 6.093 (6.093) Accm: 2.52 (2.52) Acct: 4.10 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3780 data: 0.0003
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:10:31 tlr: 0.00023 tnm: 0.32 Lm: 6.886 (6.886) Lt: 6.142 (6.142) Accm: 2.72 (2.72) Acct: 4.42 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3783 data: 0.0003
[11-26 18:42:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 0/1669] eta: 0:10:30 tlr: 0.00023 tnm: 0.32 Lm: 6.984 (6.984) Lt: 6.334 (6.334) Accm: 2.21 (2.21) Acct: 3.58 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3780 data: 0.0004
[11-26 18:45:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:57 tlr: 0.00023 tnm: 0.33 Lm: 6.979 (6.979) Lt: 6.305 (6.305) Accm: 2.25 (2.25) Acct: 3.57 (3.57) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 18:45:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:57 tlr: 0.00023 tnm: 0.33 Lm: 6.858 (6.858) Lt: 6.163 (6.163) Accm: 2.45 (2.45) Acct: 3.79 (3.79) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 18:45:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:57 tlr: 0.00023 tnm: 0.33 Lm: 6.801 (6.801) Lt: 6.082 (6.082) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 18:45:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 417/1669] eta: 0:07:57 tlr: 0.00023 tnm: 0.33 Lm: 6.823 (6.823) Lt: 6.138 (6.138) Accm: 2.65 (2.65) Acct: 4.07 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0003
[11-26 18:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.36 Lm: 6.848 (6.831) Lt: 6.137 (6.138) Accm: 2.64 (2.60) Acct: 4.06 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 18:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.36 Lm: 6.869 (6.914) Lt: 6.233 (6.236) Accm: 2.39 (2.32) Acct: 3.48 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 18:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.36 Lm: 6.867 (6.823) Lt: 6.142 (6.122) Accm: 2.72 (2.59) Acct: 4.22 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 18:47:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.36 Lm: 6.974 (6.873) Lt: 6.276 (6.195) Accm: 2.29 (2.52) Acct: 3.58 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 18:50:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.965 (6.893) Lt: 6.266 (6.210) Accm: 2.27 (2.45) Acct: 3.65 (3.92) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 18:50:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.858 (6.873) Lt: 6.163 (6.199) Accm: 2.45 (2.38) Acct: 3.74 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 18:50:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.877 (6.859) Lt: 6.172 (6.177) Accm: 2.52 (2.52) Acct: 3.85 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 18:50:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.867 (6.845) Lt: 6.150 (6.154) Accm: 2.60 (2.59) Acct: 4.09 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.848 (6.840) Lt: 6.137 (6.147) Accm: 2.64 (2.62) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0019
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:10:35 (0.381 s / it)
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.882 (6.864) Lt: 6.169 (6.175) Accm: 2.45 (2.51) Acct: 3.75 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0017
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.869 (6.904) Lt: 6.233 (6.244) Accm: 2.39 (2.31) Acct: 3.48 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0019
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 33/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.968 (6.908) Lt: 6.276 (6.223) Accm: 2.26 (2.39) Acct: 3.58 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0014
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:10:35 (0.381 s / it)
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:10:35 (0.381 s / it)
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 33/350] Total time: 0:10:35 (0.381 s / it)
[11-26 18:53:04] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.865 (6.868), Lt: 6.175 (6.181), Acc m&t: 2.48 3.89, Remain: 2 days, 8:09:27, Finish: 2024-11-28 11:02
[11-26 18:53:04] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.865 (6.868), Lt: 6.175 (6.181), Acc m&t: 2.48 3.89, Remain: 2 days, 8:09:57, Finish: 2024-11-28 11:03
[11-26 18:53:04] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.865 (6.868), Lt: 6.175 (6.181), Acc m&t: 2.48 3.89, Remain: 2 days, 8:10:04, Finish: 2024-11-28 11:03
[11-26 18:53:04] (/home/user/VAR/train.py , line 276)=> [ep33] (training ) Lm: 6.865 (6.868), Lt: 6.175 (6.181), Acc m&t: 2.48 3.89, Remain: 2 days, 8:10:45, Finish: 2024-11-28 11:03
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:10:28 tlr: 0.00023 tnm: 0.34 Lm: 6.835 (6.835) Lt: 6.160 (6.160) Accm: 2.52 (2.52) Acct: 3.77 (3.77) proj_loss: 0.0000 (0.0000) time: 0.3765 data: 0.0004
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:10:26 tlr: 0.00023 tnm: 0.34 Lm: 6.802 (6.802) Lt: 6.142 (6.142) Accm: 2.52 (2.52) Acct: 3.75 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3752 data: 0.0004
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:10:29 tlr: 0.00023 tnm: 0.34 Lm: 7.003 (7.003) Lt: 6.365 (6.365) Accm: 1.86 (1.86) Acct: 2.88 (2.88) proj_loss: 0.0000 (0.0000) time: 0.3769 data: 0.0004
[11-26 18:53:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 0/1669] eta: 0:10:27 tlr: 0.00023 tnm: 0.34 Lm: 6.947 (6.947) Lt: 6.286 (6.286) Accm: 2.26 (2.26) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3763 data: 0.0003
[11-26 18:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.30 Lm: 6.910 (6.910) Lt: 6.236 (6.236) Accm: 2.39 (2.39) Acct: 3.82 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 18:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.30 Lm: 6.934 (6.934) Lt: 6.285 (6.285) Accm: 2.32 (2.32) Acct: 3.56 (3.56) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 18:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.30 Lm: 6.860 (6.860) Lt: 6.198 (6.198) Accm: 2.42 (2.42) Acct: 3.61 (3.61) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 18:55:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.30 Lm: 6.857 (6.857) Lt: 6.199 (6.199) Accm: 2.29 (2.29) Acct: 3.50 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 18:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.37 Lm: 6.756 (6.823) Lt: 6.053 (6.150) Accm: 2.58 (2.39) Acct: 4.13 (3.71) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 18:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.37 Lm: 6.835 (6.785) Lt: 6.160 (6.101) Accm: 2.52 (2.60) Acct: 3.77 (3.97) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 18:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.37 Lm: 6.939 (6.920) Lt: 6.267 (6.246) Accm: 2.26 (2.32) Acct: 3.67 (3.64) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 18:58:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.37 Lm: 7.034 (6.967) Lt: 6.342 (6.304) Accm: 2.11 (2.20) Acct: 3.36 (3.43) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 19:01:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.983 (6.959) Lt: 6.256 (6.270) Accm: 2.32 (2.28) Acct: 3.56 (3.54) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 19:01:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.860 (6.841) Lt: 6.198 (6.173) Accm: 2.42 (2.49) Acct: 3.63 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 19:01:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.783 (6.820) Lt: 6.086 (6.142) Accm: 2.58 (2.43) Acct: 4.13 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 19:01:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.906 (6.881) Lt: 6.226 (6.203) Accm: 2.39 (2.39) Acct: 3.82 (3.81) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 19:03:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.873 (6.855) Lt: 6.186 (6.174) Accm: 2.53 (2.50) Acct: 3.98 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0019
[11-26 19:03:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:03:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.810 (6.841) Lt: 6.118 (6.164) Accm: 2.57 (2.44) Acct: 4.13 (3.81) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0019
[11-26 19:03:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.835 (6.834) Lt: 6.160 (6.158) Accm: 2.52 (2.50) Acct: 3.77 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0022
[11-26 19:03:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 34/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.35 Lm: 6.933 (6.931) Lt: 6.174 (6.251) Accm: 2.51 (2.33) Acct: 3.75 (3.61) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0020
[11-26 19:03:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:03:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:03:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 34/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:03:39] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.865 (6.867), Lt: 6.175 (6.177), Acc m&t: 2.48 3.89, Remain: 2 days, 8:08:14, Finish: 2024-11-28 11:11
[11-26 19:03:39] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.865 (6.867), Lt: 6.175 (6.177), Acc m&t: 2.48 3.89, Remain: 2 days, 8:07:45, Finish: 2024-11-28 11:11
[11-26 19:03:39] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.865 (6.867), Lt: 6.175 (6.177), Acc m&t: 2.48 3.89, Remain: 2 days, 8:07:04, Finish: 2024-11-28 11:10
[11-26 19:03:39] (/home/user/VAR/train.py , line 276)=> [ep34] (training ) Lm: 6.865 (6.867), Lt: 6.175 (6.177), Acc m&t: 2.48 3.89, Remain: 2 days, 8:07:41, Finish: 2024-11-28 11:11
[11-26 19:03:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:10:26 tlr: 0.00023 tnm: 0.34 Lm: 6.837 (6.837) Lt: 6.210 (6.210) Accm: 2.53 (2.53) Acct: 3.60 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3756 data: 0.0004
[11-26 19:03:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:10:27 tlr: 0.00023 tnm: 0.34 Lm: 7.001 (7.001) Lt: 6.305 (6.305) Accm: 2.11 (2.11) Acct: 3.12 (3.12) proj_loss: 0.0000 (0.0000) time: 0.3758 data: 0.0004
[11-26 19:03:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:10:27 tlr: 0.00023 tnm: 0.34 Lm: 6.888 (6.888) Lt: 6.188 (6.188) Accm: 2.58 (2.58) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3760 data: 0.0004
[11-26 19:03:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 0/1669] eta: 0:10:27 tlr: 0.00023 tnm: 0.34 Lm: 6.917 (6.917) Lt: 6.170 (6.170) Accm: 2.46 (2.46) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3760 data: 0.0003
[11-26 19:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:09:14 tlr: 0.00023 tnm: 0.34 Lm: 6.889 (6.889) Lt: 6.165 (6.165) Accm: 2.49 (2.49) Acct: 3.98 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:09:14 tlr: 0.00023 tnm: 0.34 Lm: 6.878 (6.878) Lt: 6.191 (6.191) Accm: 2.58 (2.58) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:09:14 tlr: 0.00023 tnm: 0.34 Lm: 6.901 (6.901) Lt: 6.190 (6.190) Accm: 2.39 (2.39) Acct: 3.66 (3.66) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 417/1669] eta: 0:09:14 tlr: 0.00023 tnm: 0.34 Lm: 6.858 (6.858) Lt: 6.215 (6.215) Accm: 2.44 (2.44) Acct: 3.69 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:05:44 tlr: 0.00023 tnm: 0.35 Lm: 6.837 (6.847) Lt: 6.210 (6.190) Accm: 2.53 (2.50) Acct: 3.79 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 19:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:05:44 tlr: 0.00023 tnm: 0.35 Lm: 6.989 (6.930) Lt: 6.305 (6.230) Accm: 2.39 (2.39) Acct: 3.82 (3.71) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 19:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:05:44 tlr: 0.00023 tnm: 0.35 Lm: 6.862 (6.880) Lt: 6.161 (6.159) Accm: 2.46 (2.45) Acct: 3.91 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 19:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [ 834/1669] eta: 0:05:44 tlr: 0.00023 tnm: 0.35 Lm: 6.869 (6.837) Lt: 6.188 (6.136) Accm: 2.58 (2.64) Acct: 4.27 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 19:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:47 tlr: 0.00023 tnm: 0.32 Lm: 6.878 (6.856) Lt: 6.191 (6.153) Accm: 2.58 (2.53) Acct: 4.20 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 19:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:47 tlr: 0.00023 tnm: 0.32 Lm: 6.861 (6.859) Lt: 6.154 (6.138) Accm: 2.49 (2.48) Acct: 3.98 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 19:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:47 tlr: 0.00023 tnm: 0.32 Lm: 6.976 (6.939) Lt: 6.302 (6.247) Accm: 2.28 (2.33) Acct: 3.67 (3.66) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 19:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1251/1669] eta: 0:02:47 tlr: 0.00023 tnm: 0.32 Lm: 6.858 (6.905) Lt: 6.215 (6.238) Accm: 2.44 (2.35) Acct: 3.69 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-26 19:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.32 Lm: 6.879 (6.909) Lt: 6.219 (6.241) Accm: 2.35 (2.32) Acct: 3.60 (3.56) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0017
[11-26 19:14:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:11:01 (0.397 s / it)
[11-26 19:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.32 Lm: 6.888 (6.867) Lt: 6.194 (6.175) Accm: 2.57 (2.52) Acct: 4.13 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0015
[11-26 19:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.32 Lm: 6.860 (6.858) Lt: 6.161 (6.146) Accm: 2.46 (2.44) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0017
[11-26 19:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 35/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.32 Lm: 6.964 (6.933) Lt: 6.299 (6.249) Accm: 2.24 (2.31) Acct: 3.79 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0018
[11-26 19:14:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:11:01 (0.397 s / it)
[11-26 19:14:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:11:01 (0.397 s / it)
[11-26 19:14:41] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 35/350] Total time: 0:11:01 (0.397 s / it)
[11-26 19:14:41] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.865 (6.869), Lt: 6.175 (6.178), Acc m&t: 2.48 3.89, Remain: 2 days, 7:50:03, Finish: 2024-11-28 11:04
[11-26 19:14:41] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.865 (6.869), Lt: 6.175 (6.178), Acc m&t: 2.48 3.89, Remain: 2 days, 7:50:50, Finish: 2024-11-28 11:05
[11-26 19:14:41] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.865 (6.869), Lt: 6.175 (6.178), Acc m&t: 2.48 3.89, Remain: 2 days, 7:50:35, Finish: 2024-11-28 11:05
[11-26 19:14:41] (/home/user/VAR/train.py , line 276)=> [ep35] (training ) Lm: 6.865 (6.869), Lt: 6.175 (6.178), Acc m&t: 2.48 3.89, Remain: 2 days, 7:49:37, Finish: 2024-11-28 11:04
[11-26 19:14:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.32 Lm: 6.886 (6.886) Lt: 6.222 (6.222) Accm: 2.29 (2.29) Acct: 3.48 (3.48) proj_loss: 0.0000 (0.0000) time: 0.3743 data: 0.0003
[11-26 19:14:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.32 Lm: 6.912 (6.912) Lt: 6.244 (6.244) Accm: 2.35 (2.35) Acct: 3.53 (3.53) proj_loss: 0.0000 (0.0000) time: 0.3742 data: 0.0004
[11-26 19:14:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.32 Lm: 6.831 (6.831) Lt: 6.121 (6.121) Accm: 2.70 (2.70) Acct: 4.32 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3744 data: 0.0004
[11-26 19:14:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 0/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.32 Lm: 6.690 (6.690) Lt: 5.990 (5.990) Accm: 2.74 (2.74) Acct: 4.32 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3742 data: 0.0003
[11-26 19:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.32 Lm: 6.716 (6.716) Lt: 6.031 (6.031) Accm: 2.72 (2.72) Acct: 4.40 (4.40) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 19:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.32 Lm: 6.854 (6.854) Lt: 6.199 (6.199) Accm: 2.48 (2.48) Acct: 3.65 (3.65) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 19:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.32 Lm: 6.875 (6.875) Lt: 6.200 (6.200) Accm: 2.59 (2.59) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 19:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.32 Lm: 6.931 (6.931) Lt: 6.253 (6.253) Accm: 2.33 (2.33) Acct: 3.61 (3.61) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 19:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.34 Lm: 6.886 (6.901) Lt: 6.222 (6.203) Accm: 2.37 (2.35) Acct: 3.70 (3.64) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.34 Lm: 6.796 (6.830) Lt: 6.154 (6.163) Accm: 2.54 (2.50) Acct: 3.77 (3.79) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.34 Lm: 6.894 (6.881) Lt: 6.224 (6.208) Accm: 2.48 (2.52) Acct: 4.08 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0003
[11-26 19:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.34 Lm: 6.741 (6.726) Lt: 6.071 (6.053) Accm: 2.71 (2.69) Acct: 4.32 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.30 Lm: 6.744 (6.754) Lt: 6.085 (6.065) Accm: 2.67 (2.60) Acct: 4.19 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 19:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.30 Lm: 6.903 (6.889) Lt: 6.231 (6.215) Accm: 2.43 (2.48) Acct: 3.99 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0003
[11-26 19:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.30 Lm: 6.854 (6.867) Lt: 6.199 (6.193) Accm: 2.45 (2.37) Acct: 3.65 (3.64) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0003
[11-26 19:22:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.30 Lm: 6.887 (6.898) Lt: 6.191 (6.192) Accm: 2.37 (2.37) Acct: 3.72 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 19:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.887 (6.901) Lt: 6.222 (6.204) Accm: 2.37 (2.39) Acct: 3.74 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0019
[11-26 19:25:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:10:36 (0.381 s / it)
[11-26 19:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.894 (6.884) Lt: 6.224 (6.203) Accm: 2.38 (2.45) Acct: 3.89 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0020
[11-26 19:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.747 (6.761) Lt: 6.071 (6.053) Accm: 2.68 (2.61) Acct: 4.29 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0027
[11-26 19:25:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 36/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.796 (6.828) Lt: 6.154 (6.147) Accm: 2.54 (2.48) Acct: 3.77 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0016
[11-26 19:25:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:10:36 (0.381 s / it)
[11-26 19:25:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:10:36 (0.381 s / it)
[11-26 19:25:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 36/350] Total time: 0:10:36 (0.381 s / it)
[11-26 19:25:17] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.858 (6.858), Lt: 6.167 (6.167), Acc m&t: 2.49 3.92, Remain: 2 days, 7:44:28, Finish: 2024-11-28 11:09
[11-26 19:25:17] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.858 (6.858), Lt: 6.167 (6.167), Acc m&t: 2.49 3.92, Remain: 2 days, 7:43:36, Finish: 2024-11-28 11:08
[11-26 19:25:17] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.858 (6.858), Lt: 6.167 (6.167), Acc m&t: 2.49 3.92, Remain: 2 days, 7:42:42, Finish: 2024-11-28 11:07
[11-26 19:25:17] (/home/user/VAR/train.py , line 276)=> [ep36] (training ) Lm: 6.858 (6.858), Lt: 6.167 (6.167), Acc m&t: 2.49 3.92, Remain: 2 days, 7:44:22, Finish: 2024-11-28 11:09
[11-26 19:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.31 Lm: 6.869 (6.869) Lt: 6.195 (6.195) Accm: 2.72 (2.72) Acct: 4.15 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3744 data: 0.0003
[11-26 19:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:10:23 tlr: 0.00023 tnm: 0.31 Lm: 6.968 (6.968) Lt: 6.304 (6.304) Accm: 2.24 (2.24) Acct: 3.56 (3.56) proj_loss: 0.0000 (0.0000) time: 0.3736 data: 0.0004
[11-26 19:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.31 Lm: 7.128 (7.128) Lt: 6.495 (6.495) Accm: 1.76 (1.76) Acct: 2.86 (2.86) proj_loss: 0.0000 (0.0000) time: 0.3744 data: 0.0005
[11-26 19:25:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 0/1669] eta: 0:10:25 tlr: 0.00023 tnm: 0.31 Lm: 6.755 (6.755) Lt: 6.019 (6.019) Accm: 2.74 (2.74) Acct: 4.56 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3746 data: 0.0004
[11-26 19:27:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.30 Lm: 6.730 (6.730) Lt: 6.005 (6.005) Accm: 2.82 (2.82) Acct: 4.52 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 19:27:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.30 Lm: 7.020 (7.020) Lt: 6.389 (6.389) Accm: 2.05 (2.05) Acct: 3.13 (3.13) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 19:27:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.30 Lm: 6.923 (6.923) Lt: 6.238 (6.238) Accm: 2.35 (2.35) Acct: 3.73 (3.73) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 19:27:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.30 Lm: 6.861 (6.861) Lt: 6.173 (6.173) Accm: 2.61 (2.61) Acct: 3.99 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 19:30:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.34 Lm: 6.852 (6.841) Lt: 6.150 (6.142) Accm: 2.53 (2.58) Acct: 3.96 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 19:30:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.34 Lm: 6.912 (6.984) Lt: 6.283 (6.338) Accm: 2.24 (2.11) Acct: 3.39 (3.33) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 19:30:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.34 Lm: 6.755 (6.741) Lt: 6.019 (6.034) Accm: 2.74 (2.73) Acct: 4.48 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 19:30:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.34 Lm: 6.884 (6.910) Lt: 6.193 (6.223) Accm: 2.24 (2.31) Acct: 3.62 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 19:33:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.880 (6.878) Lt: 6.182 (6.190) Accm: 2.35 (2.39) Acct: 3.75 (3.80) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:33:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.751 (6.742) Lt: 6.023 (6.032) Accm: 2.82 (2.78) Acct: 4.52 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:33:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.911 (6.948) Lt: 6.260 (6.295) Accm: 2.29 (2.19) Acct: 3.56 (3.44) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:33:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.846 (6.841) Lt: 6.155 (6.146) Accm: 2.51 (2.56) Acct: 3.90 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.852 (6.859) Lt: 6.160 (6.170) Accm: 2.50 (2.51) Acct: 3.84 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0018
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.747 (6.702) Lt: 6.019 (5.993) Accm: 2.91 (2.83) Acct: 4.56 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0015
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.912 (6.968) Lt: 6.283 (6.313) Accm: 2.26 (2.21) Acct: 3.39 (3.41) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0016
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 37/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.36 Lm: 6.884 (6.890) Lt: 6.193 (6.207) Accm: 2.31 (2.38) Acct: 3.70 (3.78) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0016
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 37/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:35:53] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.848 (6.848), Lt: 6.154 (6.154), Acc m&t: 2.50 3.94, Remain: 2 days, 7:39:39, Finish: 2024-11-28 11:15
[11-26 19:35:53] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.848 (6.848), Lt: 6.154 (6.154), Acc m&t: 2.50 3.94, Remain: 2 days, 7:38:43, Finish: 2024-11-28 11:14
[11-26 19:35:53] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.848 (6.848), Lt: 6.154 (6.154), Acc m&t: 2.50 3.94, Remain: 2 days, 7:40:48, Finish: 2024-11-28 11:16
[11-26 19:35:53] (/home/user/VAR/train.py , line 276)=> [ep37] (training ) Lm: 6.848 (6.848), Lt: 6.154 (6.154), Acc m&t: 2.50 3.94, Remain: 2 days, 7:38:19, Finish: 2024-11-28 11:14
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:10:27 tlr: 0.00023 tnm: 0.30 Lm: 6.831 (6.831) Lt: 6.108 (6.108) Accm: 2.49 (2.49) Acct: 4.10 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3758 data: 0.0003
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:10:28 tlr: 0.00023 tnm: 0.30 Lm: 6.792 (6.792) Lt: 6.045 (6.045) Accm: 2.74 (2.74) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3764 data: 0.0004
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:10:28 tlr: 0.00023 tnm: 0.30 Lm: 6.738 (6.738) Lt: 6.094 (6.094) Accm: 2.78 (2.78) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3763 data: 0.0003
[11-26 19:35:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 0/1669] eta: 0:10:27 tlr: 0.00023 tnm: 0.30 Lm: 6.818 (6.818) Lt: 6.123 (6.123) Accm: 2.58 (2.58) Acct: 4.01 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3761 data: 0.0004
[11-26 19:39:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:09:22 tlr: 0.00023 tnm: 0.31 Lm: 6.837 (6.837) Lt: 6.135 (6.135) Accm: 2.48 (2.48) Acct: 3.98 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 19:39:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:09:22 tlr: 0.00023 tnm: 0.31 Lm: 6.855 (6.855) Lt: 6.146 (6.146) Accm: 2.57 (2.57) Acct: 4.03 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 19:39:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:09:22 tlr: 0.00023 tnm: 0.31 Lm: 6.704 (6.704) Lt: 6.042 (6.042) Accm: 2.83 (2.83) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 19:39:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 417/1669] eta: 0:09:22 tlr: 0.00023 tnm: 0.31 Lm: 6.844 (6.844) Lt: 6.107 (6.107) Accm: 2.48 (2.48) Acct: 4.04 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 19:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:05:46 tlr: 0.00023 tnm: 0.31 Lm: 6.856 (6.880) Lt: 6.108 (6.176) Accm: 2.46 (2.44) Acct: 3.98 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 19:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:05:46 tlr: 0.00023 tnm: 0.31 Lm: 6.792 (6.819) Lt: 6.114 (6.135) Accm: 2.73 (2.62) Acct: 4.15 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 19:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:05:46 tlr: 0.00023 tnm: 0.31 Lm: 6.856 (6.890) Lt: 6.148 (6.191) Accm: 2.39 (2.35) Acct: 3.94 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 19:41:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [ 834/1669] eta: 0:05:46 tlr: 0.00023 tnm: 0.31 Lm: 6.738 (6.728) Lt: 6.034 (6.039) Accm: 2.87 (2.85) Acct: 4.41 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 19:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:48 tlr: 0.00023 tnm: 0.32 Lm: 6.756 (6.774) Lt: 6.064 (6.076) Accm: 2.83 (2.71) Acct: 4.24 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 19:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:48 tlr: 0.00023 tnm: 0.32 Lm: 6.837 (6.832) Lt: 6.135 (6.126) Accm: 2.48 (2.52) Acct: 3.98 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 19:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:48 tlr: 0.00023 tnm: 0.32 Lm: 6.813 (6.822) Lt: 6.117 (6.131) Accm: 2.70 (2.64) Acct: 4.23 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 19:44:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1251/1669] eta: 0:02:48 tlr: 0.00023 tnm: 0.32 Lm: 6.844 (6.816) Lt: 6.107 (6.109) Accm: 2.48 (2.60) Acct: 4.04 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.831 (6.818) Lt: 6.108 (6.112) Accm: 2.49 (2.58) Acct: 4.10 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0017
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:11:04 (0.398 s / it)
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.834 (6.835) Lt: 6.120 (6.135) Accm: 2.67 (2.58) Acct: 4.15 (4.00) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0019
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.818 (6.816) Lt: 6.123 (6.105) Accm: 2.58 (2.58) Acct: 4.01 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0019
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 38/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.34 Lm: 6.775 (6.780) Lt: 6.094 (6.097) Accm: 2.78 (2.68) Acct: 4.08 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0018
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:11:04 (0.398 s / it)
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:11:04 (0.398 s / it)
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 38/350] Total time: 0:11:04 (0.398 s / it)
[11-26 19:46:58] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.829 (6.829), Lt: 6.127 (6.127), Acc m&t: 2.56 4.03, Remain: 2 days, 7:19:45, Finish: 2024-11-28 11:06
[11-26 19:46:58] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.829 (6.829), Lt: 6.127 (6.127), Acc m&t: 2.56 4.03, Remain: 2 days, 7:19:54, Finish: 2024-11-28 11:06
[11-26 19:46:58] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.829 (6.829), Lt: 6.127 (6.127), Acc m&t: 2.56 4.03, Remain: 2 days, 7:20:09, Finish: 2024-11-28 11:07
[11-26 19:46:58] (/home/user/VAR/train.py , line 276)=> [ep38] (training ) Lm: 6.829 (6.829), Lt: 6.127 (6.127), Acc m&t: 2.56 4.03, Remain: 2 days, 7:19:06, Finish: 2024-11-28 11:06
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:10:34 tlr: 0.00023 tnm: 0.36 Lm: 6.868 (6.868) Lt: 6.164 (6.164) Accm: 2.53 (2.53) Acct: 3.62 (3.62) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0005
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:10:34 tlr: 0.00023 tnm: 0.36 Lm: 6.923 (6.923) Lt: 6.181 (6.181) Accm: 2.16 (2.16) Acct: 3.31 (3.31) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0003
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:10:34 tlr: 0.00023 tnm: 0.36 Lm: 6.813 (6.813) Lt: 6.161 (6.161) Accm: 2.57 (2.57) Acct: 3.63 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0003
[11-26 19:46:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 0/1669] eta: 0:10:34 tlr: 0.00023 tnm: 0.36 Lm: 6.796 (6.796) Lt: 6.119 (6.119) Accm: 2.67 (2.67) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0004
[11-26 19:49:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.35 Lm: 6.828 (6.828) Lt: 6.149 (6.149) Accm: 2.51 (2.51) Acct: 4.03 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0003
[11-26 19:49:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.35 Lm: 6.798 (6.798) Lt: 6.136 (6.136) Accm: 2.64 (2.64) Acct: 3.66 (3.66) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 19:49:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.35 Lm: 6.832 (6.832) Lt: 6.091 (6.091) Accm: 2.60 (2.60) Acct: 4.04 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 19:49:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.35 Lm: 6.733 (6.733) Lt: 5.975 (5.975) Accm: 2.79 (2.79) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 19:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.32 Lm: 6.868 (6.816) Lt: 6.164 (6.110) Accm: 2.53 (2.57) Acct: 3.62 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 19:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.32 Lm: 6.923 (6.879) Lt: 6.181 (6.174) Accm: 2.27 (2.49) Acct: 3.60 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 19:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.32 Lm: 6.782 (6.760) Lt: 6.111 (6.073) Accm: 2.70 (2.76) Acct: 3.68 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 19:52:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [ 834/1669] eta: 0:05:17 tlr: 0.00023 tnm: 0.32 Lm: 6.796 (6.804) Lt: 6.119 (6.122) Accm: 2.67 (2.60) Acct: 4.06 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-26 19:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.828 (6.825) Lt: 6.149 (6.150) Accm: 2.51 (2.49) Acct: 3.99 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0002
[11-26 19:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.901 (6.879) Lt: 6.153 (6.162) Accm: 2.34 (2.47) Acct: 3.87 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0002
[11-26 19:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.798 (6.788) Lt: 6.129 (6.091) Accm: 2.64 (2.67) Acct: 3.74 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0002
[11-26 19:54:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.793 (6.791) Lt: 6.072 (6.078) Accm: 2.68 (2.64) Acct: 3.98 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0002
[11-26 19:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.847 (6.802) Lt: 6.164 (6.096) Accm: 2.53 (2.58) Acct: 3.79 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0014
[11-26 19:57:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.881 (6.879) Lt: 6.181 (6.167) Accm: 2.41 (2.47) Acct: 3.81 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0018
[11-26 19:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.853 (6.831) Lt: 6.149 (6.150) Accm: 2.48 (2.49) Acct: 3.93 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0017
[11-26 19:57:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 39/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.800 (6.790) Lt: 6.111 (6.093) Accm: 2.67 (2.67) Acct: 3.79 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0019
[11-26 19:57:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:57:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:57:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 39/350] Total time: 0:10:35 (0.381 s / it)
[11-26 19:59:42] (home/user/VAR/trainer.py, line 114)=> FID: 5.764326837694512
[11-26 19:59:43] (/home/user/VAR/train.py , line 259)=> [*] [ep39] (val 50000) Lm: 6.8318, Lt: 6.1322, Acc m&t: 2.55 4.01, Val cost: 129.57s
[11-26 19:59:43] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-26 20:00:07] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.829 (6.832), Lt: 6.127 (6.132), Acc m&t: 2.56 4.03, Remain: 2 days, 7:12:07, Finish: 2024-11-28 11:09
[11-26 20:00:07] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.829 (6.832), Lt: 6.127 (6.132), Acc m&t: 2.56 4.03, Remain: 2 days, 7:12:30, Finish: 2024-11-28 11:10
[11-26 20:00:07] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.829 (6.832), Lt: 6.127 (6.132), Acc m&t: 2.56 4.03, Remain: 2 days, 7:11:13, Finish: 2024-11-28 11:08
[11-26 20:00:07] (/home/user/VAR/train.py , line 276)=> [ep39] (training ) Lm: 6.829 (6.832), Lt: 6.127 (6.132), Acc m&t: 2.56 4.03, Remain: 2 days, 7:11:11, Finish: 2024-11-28 11:08
[11-26 20:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:10:48 tlr: 0.00023 tnm: 0.31 Lm: 6.901 (6.901) Lt: 6.222 (6.222) Accm: 2.45 (2.45) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3883 data: 0.0004
[11-26 20:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:10:47 tlr: 0.00023 tnm: 0.31 Lm: 6.785 (6.785) Lt: 6.068 (6.068) Accm: 2.55 (2.55) Acct: 3.84 (3.84) proj_loss: 0.0000 (0.0000) time: 0.3880 data: 0.0004
[11-26 20:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:10:48 tlr: 0.00023 tnm: 0.31 Lm: 6.970 (6.970) Lt: 6.315 (6.315) Accm: 2.33 (2.33) Acct: 3.60 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3886 data: 0.0004
[11-26 20:00:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 0/1669] eta: 0:10:47 tlr: 0.00023 tnm: 0.31 Lm: 6.858 (6.858) Lt: 6.152 (6.152) Accm: 2.42 (2.42) Acct: 3.60 (3.60) proj_loss: 0.0000 (0.0000) time: 0.3880 data: 0.0003
[11-26 20:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.33 Lm: 6.798 (6.798) Lt: 6.097 (6.097) Accm: 2.62 (2.62) Acct: 4.02 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 20:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.33 Lm: 6.776 (6.776) Lt: 6.087 (6.087) Accm: 2.51 (2.51) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 20:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.33 Lm: 6.834 (6.834) Lt: 6.104 (6.104) Accm: 2.61 (2.61) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 20:02:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.33 Lm: 6.794 (6.794) Lt: 6.074 (6.074) Accm: 2.67 (2.67) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 20:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.33 Lm: 6.901 (6.841) Lt: 6.222 (6.137) Accm: 2.45 (2.55) Acct: 3.86 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 20:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.33 Lm: 6.970 (6.879) Lt: 6.292 (6.167) Accm: 2.33 (2.49) Acct: 3.68 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 20:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.33 Lm: 6.768 (6.748) Lt: 6.068 (6.038) Accm: 2.55 (2.66) Acct: 3.87 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 20:05:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.33 Lm: 6.738 (6.769) Lt: 6.041 (6.056) Accm: 2.72 (2.65) Acct: 4.41 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 20:08:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.798 (6.822) Lt: 6.097 (6.122) Accm: 2.57 (2.48) Acct: 4.00 (3.90) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:08:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.776 (6.795) Lt: 6.087 (6.092) Accm: 2.51 (2.54) Acct: 3.86 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:08:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.912 (6.873) Lt: 6.225 (6.165) Accm: 2.38 (2.47) Acct: 3.81 (3.97) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:08:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.33 Lm: 6.878 (6.845) Lt: 6.187 (6.140) Accm: 2.46 (2.53) Acct: 3.95 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0003
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.854 (6.843) Lt: 6.193 (6.151) Accm: 2.45 (2.49) Acct: 3.86 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0019
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:35 (0.381 s / it)
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.785 (6.805) Lt: 6.106 (6.110) Accm: 2.55 (2.54) Acct: 3.84 (3.90) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0019
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.824 (6.822) Lt: 6.137 (6.125) Accm: 2.48 (2.48) Acct: 3.84 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0018
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 40/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.33 Lm: 6.875 (6.873) Lt: 6.177 (6.167) Accm: 2.43 (2.48) Acct: 3.94 (3.97) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0016
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:35 (0.381 s / it)
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:35 (0.381 s / it)
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 40/350] Total time: 0:10:35 (0.381 s / it)
[11-26 20:10:43] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.829 (6.848), Lt: 6.127 (6.147), Acc m&t: 2.56 4.03, Remain: 2 days, 7:02:18, Finish: 2024-11-28 11:13
[11-26 20:10:43] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.829 (6.848), Lt: 6.127 (6.147), Acc m&t: 2.56 4.03, Remain: 2 days, 7:02:11, Finish: 2024-11-28 11:12
[11-26 20:10:43] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.829 (6.848), Lt: 6.127 (6.147), Acc m&t: 2.56 4.03, Remain: 2 days, 7:02:35, Finish: 2024-11-28 11:13
[11-26 20:10:43] (/home/user/VAR/train.py , line 276)=> [ep40] (training ) Lm: 6.829 (6.848), Lt: 6.127 (6.147), Acc m&t: 2.56 4.03, Remain: 2 days, 7:02:40, Finish: 2024-11-28 11:13
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:10:14 tlr: 0.00023 tnm: 0.35 Lm: 6.833 (6.833) Lt: 6.086 (6.086) Accm: 2.41 (2.41) Acct: 3.75 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3683 data: 0.0004
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:10:47 tlr: 0.00023 tnm: 0.35 Lm: 6.851 (6.851) Lt: 6.145 (6.145) Accm: 2.48 (2.48) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3877 data: 0.0003
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:10:15 tlr: 0.00023 tnm: 0.35 Lm: 6.882 (6.882) Lt: 6.170 (6.170) Accm: 2.58 (2.58) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3686 data: 0.0003
[11-26 20:10:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 0/1669] eta: 0:10:15 tlr: 0.00023 tnm: 0.35 Lm: 6.938 (6.938) Lt: 6.219 (6.219) Accm: 2.28 (2.28) Acct: 3.63 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3687 data: 0.0004
[11-26 20:13:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:09:03 tlr: 0.00023 tnm: 0.30 Lm: 6.965 (6.965) Lt: 6.277 (6.277) Accm: 2.27 (2.27) Acct: 3.58 (3.58) proj_loss: 0.0000 (0.0000) time: 0.5854 data: 0.0002
[11-26 20:13:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:09:03 tlr: 0.00023 tnm: 0.30 Lm: 6.917 (6.917) Lt: 6.200 (6.200) Accm: 2.52 (2.52) Acct: 4.02 (4.02) proj_loss: 0.0000 (0.0000) time: 0.5854 data: 0.0002
[11-26 20:13:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:09:03 tlr: 0.00023 tnm: 0.30 Lm: 6.851 (6.851) Lt: 6.104 (6.104) Accm: 2.46 (2.46) Acct: 3.97 (3.97) proj_loss: 0.0000 (0.0000) time: 0.5854 data: 0.0002
[11-26 20:13:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 417/1669] eta: 0:09:04 tlr: 0.00023 tnm: 0.30 Lm: 6.940 (6.940) Lt: 6.261 (6.261) Accm: 2.29 (2.29) Acct: 3.79 (3.79) proj_loss: 0.0000 (0.0000) time: 0.5854 data: 0.0002
[11-26 20:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:49 tlr: 0.00023 tnm: 0.34 Lm: 6.938 (6.939) Lt: 6.259 (6.260) Accm: 2.44 (2.34) Acct: 4.03 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 20:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:49 tlr: 0.00023 tnm: 0.34 Lm: 6.938 (6.904) Lt: 6.219 (6.208) Accm: 2.28 (2.37) Acct: 3.63 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 20:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:49 tlr: 0.00023 tnm: 0.34 Lm: 6.833 (6.814) Lt: 6.086 (6.066) Accm: 2.51 (2.60) Acct: 4.18 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 20:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [ 834/1669] eta: 0:05:49 tlr: 0.00023 tnm: 0.34 Lm: 6.882 (6.848) Lt: 6.170 (6.151) Accm: 2.57 (2.54) Acct: 3.96 (4.00) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 20:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:49 tlr: 0.00023 tnm: 0.34 Lm: 6.917 (6.882) Lt: 6.200 (6.198) Accm: 2.52 (2.52) Acct: 3.96 (3.90) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:49 tlr: 0.00023 tnm: 0.34 Lm: 6.954 (6.920) Lt: 6.262 (6.233) Accm: 2.32 (2.37) Acct: 3.60 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:49 tlr: 0.00023 tnm: 0.34 Lm: 6.837 (6.821) Lt: 6.089 (6.073) Accm: 2.46 (2.55) Acct: 3.99 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1251/1669] eta: 0:02:49 tlr: 0.00023 tnm: 0.34 Lm: 6.894 (6.901) Lt: 6.202 (6.220) Accm: 2.46 (2.43) Acct: 4.08 (3.97) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 20:21:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.870 (6.895) Lt: 6.223 (6.221) Accm: 2.48 (2.48) Acct: 4.08 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0017
[11-26 20:21:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:11:07 (0.400 s / it)
[11-26 20:21:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.833 (6.748) Lt: 6.086 (6.005) Accm: 2.51 (2.73) Acct: 4.18 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0016
[11-26 20:21:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.969 (6.935) Lt: 6.306 (6.254) Accm: 2.28 (2.33) Acct: 3.56 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0022
[11-26 20:21:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 41/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.882 (6.861) Lt: 6.170 (6.180) Accm: 2.47 (2.49) Acct: 3.96 (3.79) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0015
[11-26 20:21:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:11:07 (0.400 s / it)
[11-26 20:21:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:11:07 (0.400 s / it)
[11-26 20:21:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 41/350] Total time: 0:11:07 (0.400 s / it)
[11-26 20:21:50] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.829 (6.845), Lt: 6.127 (6.143), Acc m&t: 2.56 4.03, Remain: 2 days, 6:48:20, Finish: 2024-11-28 11:10
[11-26 20:21:50] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.829 (6.845), Lt: 6.127 (6.143), Acc m&t: 2.56 4.03, Remain: 2 days, 6:46:08, Finish: 2024-11-28 11:07
[11-26 20:21:50] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.829 (6.845), Lt: 6.127 (6.143), Acc m&t: 2.56 4.03, Remain: 2 days, 6:46:14, Finish: 2024-11-28 11:08
[11-26 20:21:50] (/home/user/VAR/train.py , line 276)=> [ep41] (training ) Lm: 6.829 (6.845), Lt: 6.127 (6.143), Acc m&t: 2.56 4.03, Remain: 2 days, 6:46:50, Finish: 2024-11-28 11:08
[11-26 20:21:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:10:40 tlr: 0.00023 tnm: 0.34 Lm: 6.960 (6.960) Lt: 6.268 (6.268) Accm: 2.11 (2.11) Acct: 3.36 (3.36) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0003
[11-26 20:21:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:10:49 tlr: 0.00023 tnm: 0.34 Lm: 6.838 (6.838) Lt: 6.131 (6.131) Accm: 2.59 (2.59) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3892 data: 0.0004
[11-26 20:21:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:10:47 tlr: 0.00023 tnm: 0.34 Lm: 6.664 (6.664) Lt: 5.956 (5.956) Accm: 3.04 (3.04) Acct: 4.67 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3878 data: 0.0003
[11-26 20:21:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 0/1669] eta: 0:10:41 tlr: 0.00023 tnm: 0.34 Lm: 6.942 (6.942) Lt: 6.254 (6.254) Accm: 2.14 (2.14) Acct: 3.39 (3.39) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0004
[11-26 20:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.34 Lm: 6.903 (6.903) Lt: 6.199 (6.199) Accm: 2.15 (2.15) Acct: 3.38 (3.38) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 20:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.34 Lm: 6.748 (6.748) Lt: 6.027 (6.027) Accm: 2.82 (2.82) Acct: 4.45 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 20:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.34 Lm: 6.775 (6.775) Lt: 6.044 (6.044) Accm: 2.71 (2.71) Acct: 4.28 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 20:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 417/1669] eta: 0:07:56 tlr: 0.00023 tnm: 0.34 Lm: 6.890 (6.890) Lt: 6.189 (6.189) Accm: 2.31 (2.31) Acct: 3.50 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0003
[11-26 20:27:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.30 Lm: 6.906 (6.895) Lt: 6.213 (6.197) Accm: 2.25 (2.29) Acct: 3.39 (3.47) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 20:27:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.30 Lm: 6.758 (6.769) Lt: 6.107 (6.065) Accm: 2.59 (2.65) Acct: 4.20 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 20:27:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.30 Lm: 6.864 (6.840) Lt: 6.144 (6.134) Accm: 2.16 (2.39) Acct: 3.39 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0003
[11-26 20:27:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.30 Lm: 6.785 (6.761) Lt: 6.097 (6.054) Accm: 2.60 (2.70) Acct: 4.24 (4.22) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 20:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.784 (6.766) Lt: 6.065 (6.049) Accm: 2.55 (2.65) Acct: 3.99 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.790 (6.803) Lt: 6.074 (6.099) Accm: 2.51 (2.53) Acct: 3.93 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.781 (6.778) Lt: 6.104 (6.074) Accm: 2.60 (2.64) Acct: 4.20 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.32 Lm: 6.863 (6.872) Lt: 6.162 (6.169) Accm: 2.38 (2.36) Acct: 3.52 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.821 (6.861) Lt: 6.111 (6.145) Accm: 2.51 (2.41) Acct: 3.65 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0019
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:35 (0.381 s / it)
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.785 (6.782) Lt: 6.097 (6.066) Accm: 2.51 (2.60) Acct: 3.75 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0018
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.715 (6.774) Lt: 6.003 (6.053) Accm: 2.86 (2.67) Acct: 4.46 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0018
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 42/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.31 Lm: 6.803 (6.808) Lt: 6.107 (6.105) Accm: 2.59 (2.58) Acct: 4.20 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0018
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:35 (0.381 s / it)
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:35 (0.381 s / it)
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 42/350] Total time: 0:10:35 (0.381 s / it)
[11-26 20:32:26] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.829 (6.837), Lt: 6.127 (6.138), Acc m&t: 2.56 4.03, Remain: 2 days, 6:39:14, Finish: 2024-11-28 11:11
[11-26 20:32:26] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.829 (6.837), Lt: 6.127 (6.138), Acc m&t: 2.56 4.03, Remain: 2 days, 6:40:29, Finish: 2024-11-28 11:12
[11-26 20:32:26] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.829 (6.837), Lt: 6.127 (6.138), Acc m&t: 2.56 4.03, Remain: 2 days, 6:39:36, Finish: 2024-11-28 11:12
[11-26 20:32:26] (/home/user/VAR/train.py , line 276)=> [ep42] (training ) Lm: 6.829 (6.837), Lt: 6.127 (6.138), Acc m&t: 2.56 4.03, Remain: 2 days, 6:39:44, Finish: 2024-11-28 11:12
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:10:30 tlr: 0.00023 tnm: 0.29 Lm: 6.916 (6.916) Lt: 6.272 (6.272) Accm: 2.32 (2.32) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3778 data: 0.0003
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:10:30 tlr: 0.00023 tnm: 0.29 Lm: 6.960 (6.960) Lt: 6.311 (6.311) Accm: 2.26 (2.26) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3779 data: 0.0003
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:10:39 tlr: 0.00023 tnm: 0.29 Lm: 6.933 (6.933) Lt: 6.243 (6.243) Accm: 2.23 (2.23) Acct: 3.34 (3.34) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0004
[11-26 20:32:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 0/1669] eta: 0:10:30 tlr: 0.00023 tnm: 0.29 Lm: 6.777 (6.777) Lt: 6.046 (6.046) Accm: 2.94 (2.94) Acct: 4.60 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0004
[11-26 20:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:07:57 tlr: 0.00023 tnm: 0.34 Lm: 6.758 (6.758) Lt: 6.031 (6.031) Accm: 2.88 (2.88) Acct: 4.56 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0003
[11-26 20:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:07:57 tlr: 0.00023 tnm: 0.34 Lm: 6.884 (6.884) Lt: 6.198 (6.198) Accm: 2.36 (2.36) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 20:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:07:57 tlr: 0.00023 tnm: 0.34 Lm: 6.895 (6.895) Lt: 6.208 (6.208) Accm: 2.41 (2.41) Acct: 3.73 (3.73) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 20:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 417/1669] eta: 0:07:57 tlr: 0.00023 tnm: 0.34 Lm: 6.847 (6.847) Lt: 6.146 (6.146) Accm: 2.45 (2.45) Acct: 3.85 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 20:37:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.33 Lm: 6.777 (6.807) Lt: 6.020 (6.100) Accm: 2.57 (2.55) Acct: 3.98 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:37:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.33 Lm: 6.777 (6.831) Lt: 6.046 (6.118) Accm: 2.83 (2.73) Acct: 4.53 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:37:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.33 Lm: 6.841 (6.870) Lt: 6.195 (6.197) Accm: 2.47 (2.43) Acct: 3.99 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:37:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [ 834/1669] eta: 0:05:18 tlr: 0.00023 tnm: 0.33 Lm: 6.857 (6.851) Lt: 6.173 (6.173) Accm: 2.60 (2.50) Acct: 4.12 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 20:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.30 Lm: 6.839 (6.843) Lt: 6.154 (6.163) Accm: 2.58 (2.51) Acct: 4.07 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 20:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.30 Lm: 6.901 (6.897) Lt: 6.247 (6.222) Accm: 2.36 (2.35) Acct: 3.83 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 20:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.30 Lm: 6.835 (6.846) Lt: 6.147 (6.150) Accm: 2.63 (2.65) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 20:40:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1251/1669] eta: 0:02:39 tlr: 0.00023 tnm: 0.30 Lm: 6.753 (6.780) Lt: 6.014 (6.065) Accm: 2.66 (2.61) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.777 (6.793) Lt: 6.020 (6.085) Accm: 2.57 (2.58) Acct: 3.98 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0018
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:36 (0.381 s / it)
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.777 (6.792) Lt: 6.046 (6.082) Accm: 2.83 (2.72) Acct: 4.48 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0017
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.841 (6.854) Lt: 6.195 (6.176) Accm: 2.47 (2.44) Acct: 3.99 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0023
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 43/350] [1668/1669] eta: 0:00:00 tlr: 0.00023 tnm: 0.30 Lm: 6.828 (6.840) Lt: 6.135 (6.150) Accm: 2.55 (2.49) Acct: 4.03 (3.92) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0016
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:36 (0.381 s / it)
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:36 (0.381 s / it)
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 43/350] Total time: 0:10:36 (0.381 s / it)
[11-26 20:43:03] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.827 (6.827), Lt: 6.127 (6.128), Acc m&t: 2.56 4.03, Remain: 2 days, 6:27:16, Finish: 2024-11-28 11:10
[11-26 20:43:03] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.827 (6.827), Lt: 6.127 (6.128), Acc m&t: 2.56 4.03, Remain: 2 days, 6:25:30, Finish: 2024-11-28 11:08
[11-26 20:43:03] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.827 (6.827), Lt: 6.127 (6.128), Acc m&t: 2.56 4.03, Remain: 2 days, 6:27:25, Finish: 2024-11-28 11:10
[11-26 20:43:03] (/home/user/VAR/train.py , line 276)=> [ep43] (training ) Lm: 6.827 (6.827), Lt: 6.127 (6.128), Acc m&t: 2.56 4.03, Remain: 2 days, 6:26:45, Finish: 2024-11-28 11:09
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.32 Lm: 6.746 (6.746) Lt: 6.055 (6.055) Accm: 2.84 (2.84) Acct: 4.25 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3741 data: 0.0004
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:10:24 tlr: 0.00023 tnm: 0.32 Lm: 6.713 (6.713) Lt: 6.036 (6.036) Accm: 2.94 (2.94) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3744 data: 0.0003
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:10:25 tlr: 0.00023 tnm: 0.32 Lm: 6.525 (6.525) Lt: 5.775 (5.775) Accm: 3.74 (3.74) Acct: 6.01 (6.01) proj_loss: 0.0000 (0.0000) time: 0.3751 data: 0.0004
[11-26 20:43:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 0/1669] eta: 0:10:25 tlr: 0.00023 tnm: 0.32 Lm: 6.888 (6.888) Lt: 6.179 (6.179) Accm: 2.26 (2.26) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3749 data: 0.0004
[11-26 20:45:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:08:42 tlr: 0.00023 tnm: 0.31 Lm: 6.934 (6.934) Lt: 6.218 (6.218) Accm: 2.25 (2.25) Acct: 3.68 (3.68) proj_loss: 0.0000 (0.0000) time: 0.6819 data: 0.0002
[11-26 20:45:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:08:42 tlr: 0.00023 tnm: 0.31 Lm: 6.806 (6.806) Lt: 6.127 (6.127) Accm: 2.55 (2.55) Acct: 4.00 (4.00) proj_loss: 0.0000 (0.0000) time: 0.6819 data: 0.0002
[11-26 20:45:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:08:42 tlr: 0.00023 tnm: 0.31 Lm: 6.655 (6.655) Lt: 5.927 (5.927) Accm: 3.18 (3.18) Acct: 5.08 (5.08) proj_loss: 0.0000 (0.0000) time: 0.6819 data: 0.0002
[11-26 20:45:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 417/1669] eta: 0:08:42 tlr: 0.00023 tnm: 0.31 Lm: 6.708 (6.708) Lt: 5.972 (5.972) Accm: 2.97 (2.97) Acct: 4.69 (4.69) proj_loss: 0.0000 (0.0000) time: 0.6819 data: 0.0002
[11-26 20:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:51 tlr: 0.00023 tnm: 0.33 Lm: 6.746 (6.748) Lt: 6.055 (6.032) Accm: 2.84 (2.81) Acct: 4.25 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 20:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:51 tlr: 0.00023 tnm: 0.33 Lm: 6.784 (6.709) Lt: 6.079 (5.988) Accm: 2.62 (2.99) Acct: 4.15 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 20:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:51 tlr: 0.00023 tnm: 0.33 Lm: 6.737 (6.783) Lt: 6.036 (6.097) Accm: 2.84 (2.64) Acct: 4.51 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 20:48:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [ 834/1669] eta: 0:05:51 tlr: 0.00023 tnm: 0.33 Lm: 6.888 (6.913) Lt: 6.179 (6.205) Accm: 2.26 (2.33) Acct: 3.72 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 20:51:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:50 tlr: 0.00022 tnm: 0.31 Lm: 6.879 (6.861) Lt: 6.179 (6.144) Accm: 2.38 (2.45) Acct: 3.91 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 20:51:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:50 tlr: 0.00022 tnm: 0.31 Lm: 6.801 (6.763) Lt: 6.094 (6.050) Accm: 2.61 (2.85) Acct: 3.99 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 20:51:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:50 tlr: 0.00022 tnm: 0.31 Lm: 6.743 (6.775) Lt: 6.036 (6.071) Accm: 2.78 (2.66) Acct: 4.45 (4.23) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 20:51:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1251/1669] eta: 0:02:50 tlr: 0.00022 tnm: 0.31 Lm: 6.780 (6.764) Lt: 6.076 (6.049) Accm: 2.71 (2.75) Acct: 4.06 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.746 (6.758) Lt: 6.055 (6.034) Accm: 2.66 (2.73) Acct: 4.25 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0015
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:11:09 (0.401 s / it)
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.870 (6.829) Lt: 6.179 (6.118) Accm: 2.50 (2.51) Acct: 3.99 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0015
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.737 (6.765) Lt: 6.036 (6.050) Accm: 2.72 (2.65) Acct: 4.39 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0016
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 44/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.817 (6.790) Lt: 6.109 (6.080) Accm: 2.61 (2.78) Acct: 4.10 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0016
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:11:09 (0.401 s / it)
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:11:09 (0.401 s / it)
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 44/350] Total time: 0:11:09 (0.401 s / it)
[11-26 20:54:12] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.827 (6.827), Lt: 6.123 (6.123), Acc m&t: 2.56 4.03, Remain: 2 days, 6:28:20, Finish: 2024-11-28 11:22
[11-26 20:54:12] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.827 (6.827), Lt: 6.123 (6.123), Acc m&t: 2.56 4.03, Remain: 2 days, 6:25:16, Finish: 2024-11-28 11:19
[11-26 20:54:12] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.827 (6.827), Lt: 6.123 (6.123), Acc m&t: 2.56 4.03, Remain: 2 days, 6:26:29, Finish: 2024-11-28 11:20
[11-26 20:54:12] (/home/user/VAR/train.py , line 276)=> [ep44] (training ) Lm: 6.827 (6.827), Lt: 6.123 (6.123), Acc m&t: 2.56 4.03, Remain: 2 days, 6:27:47, Finish: 2024-11-28 11:21
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.31 Lm: 6.886 (6.886) Lt: 6.197 (6.197) Accm: 2.52 (2.52) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0003
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.31 Lm: 6.879 (6.879) Lt: 6.203 (6.203) Accm: 2.43 (2.43) Acct: 3.94 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3779 data: 0.0003
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.31 Lm: 6.732 (6.732) Lt: 6.022 (6.022) Accm: 2.87 (2.87) Acct: 4.65 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3781 data: 0.0004
[11-26 20:54:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.31 Lm: 6.849 (6.849) Lt: 6.156 (6.156) Accm: 2.29 (2.29) Acct: 3.89 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3778 data: 0.0004
[11-26 20:56:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.32 Lm: 6.743 (6.743) Lt: 6.027 (6.027) Accm: 2.65 (2.65) Acct: 4.49 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 20:56:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.32 Lm: 6.810 (6.810) Lt: 6.077 (6.077) Accm: 2.72 (2.72) Acct: 4.40 (4.40) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 20:56:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.32 Lm: 6.836 (6.836) Lt: 6.141 (6.141) Accm: 2.56 (2.56) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 20:56:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.32 Lm: 6.847 (6.847) Lt: 6.154 (6.154) Accm: 2.45 (2.45) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 20:59:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.34 Lm: 6.886 (6.869) Lt: 6.182 (6.164) Accm: 2.48 (2.46) Acct: 3.82 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 20:59:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.34 Lm: 6.793 (6.739) Lt: 6.080 (6.026) Accm: 2.70 (2.81) Acct: 4.29 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 20:59:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.34 Lm: 6.777 (6.799) Lt: 6.129 (6.094) Accm: 2.56 (2.56) Acct: 4.15 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 20:59:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.34 Lm: 6.726 (6.737) Lt: 6.000 (6.018) Accm: 2.83 (2.71) Acct: 4.55 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0003
[11-26 21:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.31 Lm: 6.772 (6.758) Lt: 6.055 (6.041) Accm: 2.58 (2.61) Acct: 4.22 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 21:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.31 Lm: 6.766 (6.739) Lt: 6.038 (6.018) Accm: 2.74 (2.80) Acct: 4.30 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 21:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.31 Lm: 6.754 (6.766) Lt: 6.076 (6.048) Accm: 2.72 (2.66) Acct: 4.40 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 21:02:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.31 Lm: 6.847 (6.839) Lt: 6.147 (6.126) Accm: 2.50 (2.51) Acct: 3.95 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 21:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.834 (6.838) Lt: 6.158 (6.132) Accm: 2.48 (2.50) Acct: 3.82 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0014
[11-26 21:04:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.777 (6.773) Lt: 6.119 (6.062) Accm: 2.57 (2.64) Acct: 4.15 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0019
[11-26 21:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.793 (6.758) Lt: 6.080 (6.031) Accm: 2.70 (2.77) Acct: 4.29 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0017
[11-26 21:04:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 45/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.30 Lm: 6.726 (6.736) Lt: 6.000 (6.023) Accm: 2.83 (2.69) Acct: 4.55 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0017
[11-26 21:04:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:04:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:04:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 45/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:04:47] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.825 (6.825), Lt: 6.123 (6.123), Acc m&t: 2.56 4.03, Remain: 2 days, 5:58:26, Finish: 2024-11-28 11:03
[11-26 21:04:47] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.825 (6.825), Lt: 6.123 (6.123), Acc m&t: 2.56 4.03, Remain: 2 days, 5:59:59, Finish: 2024-11-28 11:04
[11-26 21:04:47] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.825 (6.825), Lt: 6.123 (6.123), Acc m&t: 2.56 4.03, Remain: 2 days, 5:58:34, Finish: 2024-11-28 11:03
[11-26 21:04:47] (/home/user/VAR/train.py , line 276)=> [ep45] (training ) Lm: 6.825 (6.825), Lt: 6.123 (6.123), Acc m&t: 2.56 4.03, Remain: 2 days, 6:00:00, Finish: 2024-11-28 11:04
[11-26 21:04:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:10:36 tlr: 0.00022 tnm: 0.32 Lm: 6.849 (6.849) Lt: 6.171 (6.171) Accm: 2.35 (2.35) Acct: 3.58 (3.58) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0004
[11-26 21:04:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:10:35 tlr: 0.00022 tnm: 0.32 Lm: 6.917 (6.917) Lt: 6.243 (6.243) Accm: 2.16 (2.16) Acct: 3.41 (3.41) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0004
[11-26 21:04:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:10:37 tlr: 0.00022 tnm: 0.32 Lm: 6.863 (6.863) Lt: 6.167 (6.167) Accm: 2.52 (2.52) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0003
[11-26 21:04:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 0/1669] eta: 0:10:37 tlr: 0.00022 tnm: 0.32 Lm: 6.685 (6.685) Lt: 6.002 (6.002) Accm: 3.03 (3.03) Acct: 4.61 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0004
[11-26 21:07:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.695 (6.695) Lt: 5.972 (5.972) Accm: 2.79 (2.79) Acct: 4.38 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 21:07:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.832 (6.832) Lt: 6.160 (6.160) Accm: 2.50 (2.50) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 21:07:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.927 (6.927) Lt: 6.237 (6.237) Accm: 2.32 (2.32) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 21:07:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.769 (6.769) Lt: 6.054 (6.054) Accm: 2.68 (2.68) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 21:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.31 Lm: 6.811 (6.783) Lt: 6.071 (6.059) Accm: 2.72 (2.70) Acct: 4.41 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.31 Lm: 6.704 (6.739) Lt: 6.002 (6.042) Accm: 2.54 (2.59) Acct: 4.15 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.31 Lm: 6.863 (6.853) Lt: 6.167 (6.174) Accm: 2.49 (2.50) Acct: 3.91 (3.76) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:10:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.31 Lm: 6.937 (6.951) Lt: 6.243 (6.265) Accm: 2.16 (2.25) Acct: 3.44 (3.63) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.31 Lm: 6.927 (6.904) Lt: 6.237 (6.214) Accm: 2.32 (2.36) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 21:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.31 Lm: 6.695 (6.725) Lt: 5.972 (6.015) Accm: 2.71 (2.67) Acct: 4.29 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 21:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.31 Lm: 6.877 (6.862) Lt: 6.163 (6.170) Accm: 2.48 (2.48) Acct: 3.88 (3.78) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 21:12:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.31 Lm: 6.830 (6.822) Lt: 6.121 (6.105) Accm: 2.54 (2.60) Acct: 4.03 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 21:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.811 (6.818) Lt: 6.071 (6.098) Accm: 2.72 (2.64) Acct: 4.25 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0015
[11-26 21:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.917 (6.900) Lt: 6.230 (6.214) Accm: 2.36 (2.36) Acct: 3.94 (3.76) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0017
[11-26 21:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.870 (6.864) Lt: 6.159 (6.161) Accm: 2.49 (2.48) Acct: 3.91 (3.81) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0020
[11-26 21:15:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 46/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.34 Lm: 6.704 (6.729) Lt: 6.002 (6.015) Accm: 2.78 (2.69) Acct: 4.27 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0020
[11-26 21:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:15:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 46/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:15:23] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.804 (6.804), Lt: 6.096 (6.096), Acc m&t: 2.61 4.08, Remain: 2 days, 6:00:42, Finish: 2024-11-28 11:16
[11-26 21:15:23] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.804 (6.804), Lt: 6.096 (6.096), Acc m&t: 2.61 4.08, Remain: 2 days, 6:00:59, Finish: 2024-11-28 11:16
[11-26 21:15:23] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.804 (6.804), Lt: 6.096 (6.096), Acc m&t: 2.61 4.08, Remain: 2 days, 6:00:26, Finish: 2024-11-28 11:15
[11-26 21:15:23] (/home/user/VAR/train.py , line 276)=> [ep46] (training ) Lm: 6.804 (6.804), Lt: 6.096 (6.096), Acc m&t: 2.61 4.08, Remain: 2 days, 6:00:24, Finish: 2024-11-28 11:15
[11-26 21:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:10:24 tlr: 0.00022 tnm: 0.30 Lm: 6.760 (6.760) Lt: 6.041 (6.041) Accm: 2.88 (2.88) Acct: 4.46 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3739 data: 0.0003
[11-26 21:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:10:24 tlr: 0.00022 tnm: 0.30 Lm: 6.781 (6.781) Lt: 6.030 (6.030) Accm: 2.80 (2.80) Acct: 4.58 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3744 data: 0.0004
[11-26 21:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:10:25 tlr: 0.00022 tnm: 0.30 Lm: 6.861 (6.861) Lt: 6.124 (6.124) Accm: 2.36 (2.36) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3746 data: 0.0003
[11-26 21:15:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 0/1669] eta: 0:10:24 tlr: 0.00022 tnm: 0.30 Lm: 6.871 (6.871) Lt: 6.115 (6.115) Accm: 2.51 (2.51) Acct: 4.06 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3744 data: 0.0003
[11-26 21:18:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:08:09 tlr: 0.00022 tnm: 0.32 Lm: 6.820 (6.820) Lt: 6.078 (6.078) Accm: 2.64 (2.64) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.5242 data: 0.0002
[11-26 21:18:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:08:09 tlr: 0.00022 tnm: 0.32 Lm: 6.872 (6.872) Lt: 6.185 (6.185) Accm: 2.40 (2.40) Acct: 3.79 (3.79) proj_loss: 0.0000 (0.0000) time: 0.5242 data: 0.0002
[11-26 21:18:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:08:09 tlr: 0.00022 tnm: 0.32 Lm: 6.742 (6.742) Lt: 6.023 (6.023) Accm: 2.83 (2.83) Acct: 4.61 (4.61) proj_loss: 0.0000 (0.0000) time: 0.5242 data: 0.0002
[11-26 21:18:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 417/1669] eta: 0:08:09 tlr: 0.00022 tnm: 0.32 Lm: 6.742 (6.742) Lt: 6.024 (6.024) Accm: 2.85 (2.85) Acct: 4.52 (4.52) proj_loss: 0.0000 (0.0000) time: 0.5242 data: 0.0002
[11-26 21:21:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:49 tlr: 0.00022 tnm: 0.33 Lm: 6.760 (6.814) Lt: 6.041 (6.103) Accm: 2.81 (2.64) Acct: 4.46 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:21:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:49 tlr: 0.00022 tnm: 0.33 Lm: 6.861 (6.845) Lt: 6.124 (6.146) Accm: 2.43 (2.41) Acct: 3.86 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 21:21:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:49 tlr: 0.00022 tnm: 0.33 Lm: 6.811 (6.817) Lt: 6.042 (6.062) Accm: 2.72 (2.67) Acct: 4.42 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:21:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [ 834/1669] eta: 0:05:49 tlr: 0.00022 tnm: 0.33 Lm: 6.740 (6.742) Lt: 6.030 (6.040) Accm: 2.80 (2.81) Acct: 4.58 (4.43) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:23:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:49 tlr: 0.00022 tnm: 0.33 Lm: 6.760 (6.794) Lt: 6.053 (6.104) Accm: 2.78 (2.65) Acct: 4.33 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 21:23:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:49 tlr: 0.00022 tnm: 0.33 Lm: 6.872 (6.882) Lt: 6.185 (6.190) Accm: 2.40 (2.35) Acct: 3.79 (3.78) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 21:23:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:49 tlr: 0.00022 tnm: 0.33 Lm: 6.841 (6.846) Lt: 6.078 (6.111) Accm: 2.62 (2.62) Acct: 4.24 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 21:23:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1251/1669] eta: 0:02:49 tlr: 0.00022 tnm: 0.33 Lm: 6.742 (6.778) Lt: 6.024 (6.047) Accm: 2.85 (2.76) Acct: 4.52 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.760 (6.792) Lt: 6.041 (6.062) Accm: 2.81 (2.70) Acct: 4.46 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0019
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:11:07 (0.400 s / it)
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.811 (6.837) Lt: 6.106 (6.110) Accm: 2.62 (2.62) Acct: 4.08 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0016
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.861 (6.873) Lt: 6.124 (6.169) Accm: 2.43 (2.39) Acct: 3.86 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0015
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 47/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.762 (6.788) Lt: 6.047 (6.093) Accm: 2.77 (2.64) Acct: 4.08 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0016
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:11:07 (0.400 s / it)
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:11:07 (0.400 s / it)
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 47/350] Total time: 0:11:07 (0.400 s / it)
[11-26 21:26:31] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.804 (6.811), Lt: 6.096 (6.101), Acc m&t: 2.61 4.09, Remain: 2 days, 5:53:21, Finish: 2024-11-28 11:19
[11-26 21:26:31] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.804 (6.811), Lt: 6.096 (6.101), Acc m&t: 2.61 4.09, Remain: 2 days, 5:51:28, Finish: 2024-11-28 11:17
[11-26 21:26:31] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.804 (6.811), Lt: 6.096 (6.101), Acc m&t: 2.61 4.09, Remain: 2 days, 5:52:32, Finish: 2024-11-28 11:19
[11-26 21:26:31] (/home/user/VAR/train.py , line 276)=> [ep47] (training ) Lm: 6.804 (6.811), Lt: 6.096 (6.101), Acc m&t: 2.61 4.09, Remain: 2 days, 5:52:44, Finish: 2024-11-28 11:19
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:32 tlr: 0.00022 tnm: 0.33 Lm: 6.720 (6.720) Lt: 5.944 (5.944) Accm: 2.90 (2.90) Acct: 4.84 (4.84) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0003
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:32 tlr: 0.00022 tnm: 0.33 Lm: 6.796 (6.796) Lt: 6.078 (6.078) Accm: 2.63 (2.63) Acct: 4.10 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3791 data: 0.0004
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:32 tlr: 0.00022 tnm: 0.33 Lm: 6.633 (6.633) Lt: 5.963 (5.963) Accm: 2.97 (2.97) Acct: 4.49 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0004
[11-26 21:26:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.33 Lm: 6.709 (6.709) Lt: 5.995 (5.995) Accm: 2.73 (2.73) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3779 data: 0.0003
[11-26 21:29:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.769 (6.769) Lt: 6.048 (6.048) Accm: 2.60 (2.60) Acct: 3.94 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 21:29:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.703 (6.703) Lt: 6.022 (6.022) Accm: 2.82 (2.82) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 21:29:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.647 (6.647) Lt: 5.911 (5.911) Accm: 2.97 (2.97) Acct: 4.92 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 21:29:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.790 (6.790) Lt: 6.044 (6.044) Accm: 2.59 (2.59) Acct: 4.21 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-26 21:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.32 Lm: 6.720 (6.740) Lt: 5.944 (5.993) Accm: 2.90 (2.74) Acct: 4.84 (4.47) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 21:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.32 Lm: 6.660 (6.688) Lt: 5.995 (6.013) Accm: 2.74 (2.79) Acct: 4.32 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 21:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.32 Lm: 6.796 (6.705) Lt: 6.078 (5.987) Accm: 2.79 (2.91) Acct: 4.55 (4.80) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 21:31:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [ 834/1669] eta: 0:05:17 tlr: 0.00022 tnm: 0.32 Lm: 6.805 (6.781) Lt: 6.102 (6.068) Accm: 2.73 (2.66) Acct: 4.17 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-26 21:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.30 Lm: 6.818 (6.800) Lt: 6.104 (6.093) Accm: 2.64 (2.63) Acct: 4.21 (4.11) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.30 Lm: 6.716 (6.722) Lt: 6.038 (6.037) Accm: 2.70 (2.76) Acct: 4.15 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.30 Lm: 6.732 (6.696) Lt: 6.020 (5.981) Accm: 3.00 (2.98) Acct: 4.70 (4.81) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:34:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.30 Lm: 6.697 (6.723) Lt: 5.950 (5.984) Accm: 2.81 (2.74) Acct: 4.52 (4.40) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.720 (6.731) Lt: 5.956 (5.986) Accm: 2.72 (2.72) Acct: 4.53 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0014
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.830 (6.817) Lt: 6.107 (6.116) Accm: 2.55 (2.57) Acct: 4.17 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0017
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.796 (6.716) Lt: 6.078 (6.004) Accm: 2.79 (2.88) Acct: 4.55 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0018
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 48/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.772 (6.740) Lt: 6.081 (6.054) Accm: 2.66 (2.67) Acct: 3.98 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0016
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 48/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:37:06] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.788 (6.788), Lt: 6.079 (6.079), Acc m&t: 2.64 4.16, Remain: 2 days, 5:41:37, Finish: 2024-11-28 11:18
[11-26 21:37:06] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.788 (6.788), Lt: 6.079 (6.079), Acc m&t: 2.64 4.16, Remain: 2 days, 5:40:55, Finish: 2024-11-28 11:18
[11-26 21:37:06] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.788 (6.788), Lt: 6.079 (6.079), Acc m&t: 2.64 4.16, Remain: 2 days, 5:41:45, Finish: 2024-11-28 11:18
[11-26 21:37:06] (/home/user/VAR/train.py , line 276)=> [ep48] (training ) Lm: 6.788 (6.788), Lt: 6.079 (6.079), Acc m&t: 2.64 4.16, Remain: 2 days, 5:41:34, Finish: 2024-11-28 11:18
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:10:29 tlr: 0.00022 tnm: 0.32 Lm: 6.890 (6.890) Lt: 6.164 (6.164) Accm: 2.62 (2.62) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3773 data: 0.0003
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.32 Lm: 6.819 (6.819) Lt: 6.129 (6.129) Accm: 2.48 (2.48) Acct: 3.77 (3.77) proj_loss: 0.0000 (0.0000) time: 0.3775 data: 0.0003
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.32 Lm: 6.585 (6.585) Lt: 5.847 (5.847) Accm: 3.13 (3.13) Acct: 4.94 (4.94) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0004
[11-26 21:37:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.32 Lm: 6.851 (6.851) Lt: 6.144 (6.144) Accm: 2.28 (2.28) Acct: 3.46 (3.46) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0004
[11-26 21:39:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.862 (6.862) Lt: 6.149 (6.149) Accm: 2.42 (2.42) Acct: 3.75 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 21:39:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.792 (6.792) Lt: 6.095 (6.095) Accm: 2.59 (2.59) Acct: 4.10 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 21:39:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.685 (6.685) Lt: 5.966 (5.966) Accm: 2.92 (2.92) Acct: 4.74 (4.74) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 21:39:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.856 (6.856) Lt: 6.139 (6.139) Accm: 2.48 (2.48) Acct: 3.96 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 21:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.31 Lm: 6.822 (6.819) Lt: 6.115 (6.103) Accm: 2.62 (2.60) Acct: 4.13 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 21:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.31 Lm: 6.766 (6.770) Lt: 6.062 (6.080) Accm: 2.70 (2.67) Acct: 4.39 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 21:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.31 Lm: 6.785 (6.754) Lt: 6.085 (6.036) Accm: 2.72 (2.75) Acct: 4.55 (4.50) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 21:42:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.31 Lm: 6.851 (6.817) Lt: 6.144 (6.092) Accm: 2.56 (2.59) Acct: 4.05 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0003
[11-26 21:45:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.34 Lm: 6.835 (6.818) Lt: 6.149 (6.112) Accm: 2.57 (2.59) Acct: 3.99 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 21:45:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.34 Lm: 6.820 (6.779) Lt: 6.123 (6.067) Accm: 2.59 (2.68) Acct: 4.31 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 21:45:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.34 Lm: 6.764 (6.768) Lt: 6.063 (6.076) Accm: 2.74 (2.70) Acct: 4.41 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 21:45:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.34 Lm: 6.821 (6.819) Lt: 6.122 (6.109) Accm: 2.62 (2.60) Acct: 4.14 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 21:47:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.819 (6.808) Lt: 6.115 (6.090) Accm: 2.62 (2.62) Acct: 4.15 (4.22) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0014
[11-26 21:47:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:47:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.855 (6.798) Lt: 6.161 (6.094) Accm: 2.51 (2.64) Acct: 4.10 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0016
[11-26 21:47:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.766 (6.772) Lt: 6.065 (6.074) Accm: 2.73 (2.71) Acct: 4.39 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0018
[11-26 21:47:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 49/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.851 (6.834) Lt: 6.144 (6.118) Accm: 2.56 (2.54) Acct: 3.93 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0016
[11-26 21:47:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:47:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:47:42] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 49/350] Total time: 0:10:35 (0.381 s / it)
[11-26 21:49:53] (home/user/VAR/trainer.py, line 114)=> FID: 5.410554377911581
[11-26 21:49:53] (/home/user/VAR/train.py , line 259)=> [*] [ep49] (val 50000) Lm: 6.8015, Lt: 6.0929, Acc m&t: 2.61 4.14, Val cost: 131.41s
[11-26 21:49:53] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-26 21:50:20] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.788 (6.801), Lt: 6.079 (6.093), Acc m&t: 2.64 4.16, Remain: 2 days, 5:19:18, Finish: 2024-11-28 11:07
[11-26 21:50:20] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.788 (6.801), Lt: 6.079 (6.093), Acc m&t: 2.64 4.16, Remain: 2 days, 5:20:44, Finish: 2024-11-28 11:08
[11-26 21:50:20] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.788 (6.801), Lt: 6.079 (6.093), Acc m&t: 2.64 4.16, Remain: 2 days, 5:19:29, Finish: 2024-11-28 11:07
[11-26 21:50:20] (/home/user/VAR/train.py , line 276)=> [ep49] (training ) Lm: 6.788 (6.801), Lt: 6.079 (6.093), Acc m&t: 2.64 4.16, Remain: 2 days, 5:18:32, Finish: 2024-11-28 11:06
[11-26 21:50:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:10:33 tlr: 0.00022 tnm: 0.35 Lm: 6.900 (6.900) Lt: 6.163 (6.163) Accm: 2.24 (2.24) Acct: 3.75 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3794 data: 0.0004
[11-26 21:50:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.35 Lm: 6.721 (6.721) Lt: 5.977 (5.977) Accm: 2.70 (2.70) Acct: 4.49 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3775 data: 0.0003
[11-26 21:50:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:10:31 tlr: 0.00022 tnm: 0.35 Lm: 6.812 (6.812) Lt: 6.050 (6.050) Accm: 2.37 (2.37) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3786 data: 0.0003
[11-26 21:50:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 0/1669] eta: 0:10:57 tlr: 0.00022 tnm: 0.35 Lm: 6.730 (6.730) Lt: 6.030 (6.030) Accm: 2.72 (2.72) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3942 data: 0.0003
[11-26 21:53:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.34 Lm: 6.810 (6.810) Lt: 6.122 (6.122) Accm: 2.50 (2.50) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 21:53:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.34 Lm: 6.834 (6.834) Lt: 6.112 (6.112) Accm: 2.49 (2.49) Acct: 3.95 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 21:53:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.34 Lm: 6.911 (6.911) Lt: 6.196 (6.196) Accm: 2.33 (2.33) Acct: 3.75 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 21:53:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.34 Lm: 6.768 (6.768) Lt: 6.034 (6.034) Accm: 2.66 (2.66) Acct: 4.28 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 21:56:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:54 tlr: 0.00022 tnm: 0.30 Lm: 6.816 (6.791) Lt: 6.092 (6.067) Accm: 2.62 (2.65) Acct: 4.06 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 21:56:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:54 tlr: 0.00022 tnm: 0.30 Lm: 6.900 (6.859) Lt: 6.163 (6.143) Accm: 2.43 (2.51) Acct: 3.75 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 21:56:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:54 tlr: 0.00022 tnm: 0.30 Lm: 6.812 (6.767) Lt: 6.050 (6.054) Accm: 2.61 (2.67) Acct: 3.99 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 21:56:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [ 834/1669] eta: 0:05:54 tlr: 0.00022 tnm: 0.30 Lm: 6.730 (6.781) Lt: 6.030 (6.069) Accm: 2.72 (2.59) Acct: 4.20 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 21:58:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.34 Lm: 6.745 (6.776) Lt: 6.015 (6.052) Accm: 2.71 (2.62) Acct: 4.28 (4.11) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-26 21:58:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.34 Lm: 6.865 (6.851) Lt: 6.135 (6.134) Accm: 2.48 (2.51) Acct: 3.80 (3.92) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-26 21:58:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.34 Lm: 6.826 (6.821) Lt: 6.112 (6.101) Accm: 2.62 (2.60) Acct: 4.08 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-26 21:58:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.34 Lm: 6.834 (6.799) Lt: 6.112 (6.095) Accm: 2.49 (2.59) Acct: 3.95 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.812 (6.800) Lt: 6.083 (6.093) Accm: 2.55 (2.58) Acct: 3.99 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0017
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:11:12 (0.403 s / it)
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.830 (6.837) Lt: 6.107 (6.125) Accm: 2.53 (2.56) Acct: 3.84 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0016
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.761 (6.819) Lt: 6.030 (6.098) Accm: 2.70 (2.54) Acct: 4.20 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0017
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 50/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.837 (6.835) Lt: 6.132 (6.115) Accm: 2.62 (2.57) Acct: 4.06 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0016
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:11:12 (0.403 s / it)
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:11:12 (0.403 s / it)
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 50/350] Total time: 0:11:12 (0.403 s / it)
[11-26 22:01:33] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.788 (6.800), Lt: 6.079 (6.090), Acc m&t: 2.64 4.16, Remain: 2 days, 5:06:42, Finish: 2024-11-28 11:08
[11-26 22:01:33] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.788 (6.800), Lt: 6.079 (6.090), Acc m&t: 2.64 4.16, Remain: 2 days, 5:06:30, Finish: 2024-11-28 11:08
[11-26 22:01:33] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.788 (6.800), Lt: 6.079 (6.090), Acc m&t: 2.64 4.16, Remain: 2 days, 5:05:58, Finish: 2024-11-28 11:07
[11-26 22:01:33] (/home/user/VAR/train.py , line 276)=> [ep50] (training ) Lm: 6.788 (6.800), Lt: 6.079 (6.090), Acc m&t: 2.64 4.16, Remain: 2 days, 5:06:58, Finish: 2024-11-28 11:08
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:28 tlr: 0.00022 tnm: 0.33 Lm: 6.885 (6.885) Lt: 6.105 (6.105) Accm: 2.13 (2.13) Acct: 3.50 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0003
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:29 tlr: 0.00022 tnm: 0.33 Lm: 6.775 (6.775) Lt: 6.051 (6.051) Accm: 2.86 (2.86) Acct: 4.87 (4.87) proj_loss: 0.0000 (0.0000) time: 0.3772 data: 0.0004
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:59 tlr: 0.00022 tnm: 0.33 Lm: 6.916 (6.916) Lt: 6.221 (6.221) Accm: 2.38 (2.38) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3949 data: 0.0003
[11-26 22:01:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.33 Lm: 6.757 (6.757) Lt: 6.050 (6.050) Accm: 2.45 (2.45) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0003
[11-26 22:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.34 Lm: 6.714 (6.714) Lt: 5.992 (5.992) Accm: 2.60 (2.60) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 22:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.34 Lm: 6.822 (6.822) Lt: 6.108 (6.108) Accm: 2.51 (2.51) Acct: 4.14 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 22:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.34 Lm: 6.801 (6.801) Lt: 6.084 (6.084) Accm: 2.64 (2.64) Acct: 4.22 (4.22) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 22:04:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.34 Lm: 6.803 (6.803) Lt: 6.044 (6.044) Accm: 2.50 (2.50) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 22:06:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.33 Lm: 6.737 (6.781) Lt: 5.983 (6.023) Accm: 2.87 (2.69) Acct: 4.73 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 22:06:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.33 Lm: 6.845 (6.830) Lt: 6.078 (6.098) Accm: 2.56 (2.53) Acct: 4.42 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 22:06:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.33 Lm: 6.826 (6.809) Lt: 6.070 (6.079) Accm: 2.67 (2.65) Acct: 4.55 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 22:06:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.33 Lm: 6.757 (6.742) Lt: 6.050 (6.024) Accm: 2.60 (2.60) Acct: 4.01 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 22:09:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.778 (6.763) Lt: 6.069 (6.047) Accm: 2.52 (2.51) Acct: 3.94 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 22:09:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.857 (6.840) Lt: 6.121 (6.114) Accm: 2.41 (2.46) Acct: 4.00 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 22:09:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.811 (6.811) Lt: 6.044 (6.056) Accm: 2.69 (2.64) Acct: 4.29 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 22:09:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.842 (6.822) Lt: 6.122 (6.103) Accm: 2.52 (2.55) Acct: 4.17 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0003
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.826 (6.811) Lt: 6.070 (6.090) Accm: 2.50 (2.54) Acct: 3.89 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0017
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.757 (6.752) Lt: 6.050 (6.033) Accm: 2.60 (2.60) Acct: 4.01 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0018
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.784 (6.806) Lt: 6.082 (6.061) Accm: 2.58 (2.63) Acct: 4.22 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0014
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 51/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.845 (6.817) Lt: 6.078 (6.086) Accm: 2.56 (2.52) Acct: 4.42 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0020
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 51/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:12:09] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.788 (6.792), Lt: 6.071 (6.071), Acc m&t: 2.66 4.21, Remain: 2 days, 4:57:50, Finish: 2024-11-28 11:09
[11-26 22:12:09] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.788 (6.792), Lt: 6.071 (6.071), Acc m&t: 2.66 4.21, Remain: 2 days, 4:57:56, Finish: 2024-11-28 11:10
[11-26 22:12:09] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.788 (6.792), Lt: 6.071 (6.071), Acc m&t: 2.66 4.21, Remain: 2 days, 4:57:34, Finish: 2024-11-28 11:09
[11-26 22:12:09] (/home/user/VAR/train.py , line 276)=> [ep51] (training ) Lm: 6.788 (6.792), Lt: 6.071 (6.071), Acc m&t: 2.66 4.21, Remain: 2 days, 4:57:28, Finish: 2024-11-28 11:09
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:10:28 tlr: 0.00022 tnm: 0.33 Lm: 6.868 (6.868) Lt: 6.196 (6.196) Accm: 2.27 (2.27) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3763 data: 0.0004
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.33 Lm: 6.813 (6.813) Lt: 6.122 (6.122) Accm: 2.35 (2.35) Acct: 3.67 (3.67) proj_loss: 0.0000 (0.0000) time: 0.3778 data: 0.0003
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:10:29 tlr: 0.00022 tnm: 0.33 Lm: 6.986 (6.986) Lt: 6.260 (6.260) Accm: 2.10 (2.10) Acct: 3.65 (3.65) proj_loss: 0.0000 (0.0000) time: 0.3769 data: 0.0004
[11-26 22:12:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 0/1669] eta: 0:10:31 tlr: 0.00022 tnm: 0.33 Lm: 6.803 (6.803) Lt: 6.113 (6.113) Accm: 2.52 (2.52) Acct: 3.82 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3784 data: 0.0003
[11-26 22:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.724 (6.724) Lt: 6.009 (6.009) Accm: 2.88 (2.88) Acct: 4.29 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 22:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.994 (6.994) Lt: 6.293 (6.293) Accm: 2.21 (2.21) Acct: 3.59 (3.59) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 22:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.795 (6.795) Lt: 6.063 (6.063) Accm: 2.47 (2.47) Acct: 3.98 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 22:14:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.883 (6.883) Lt: 6.206 (6.206) Accm: 2.30 (2.30) Acct: 3.61 (3.61) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-26 22:17:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.32 Lm: 6.868 (6.852) Lt: 6.196 (6.172) Accm: 2.33 (2.39) Acct: 3.74 (3.65) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-26 22:17:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.32 Lm: 6.788 (6.745) Lt: 6.085 (6.035) Accm: 2.68 (2.81) Acct: 4.24 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-26 22:17:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.32 Lm: 6.986 (6.906) Lt: 6.260 (6.182) Accm: 2.32 (2.39) Acct: 3.65 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-26 22:17:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.32 Lm: 6.802 (6.797) Lt: 6.046 (6.058) Accm: 2.57 (2.50) Acct: 4.29 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-26 22:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.807 (6.812) Lt: 6.084 (6.075) Accm: 2.55 (2.51) Acct: 4.13 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-26 22:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.876 (6.871) Lt: 6.150 (6.146) Accm: 2.48 (2.45) Acct: 3.81 (3.90) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-26 22:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.828 (6.819) Lt: 6.149 (6.124) Accm: 2.45 (2.44) Acct: 3.74 (3.77) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-26 22:20:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.33 Lm: 6.758 (6.741) Lt: 6.053 (6.031) Accm: 2.73 (2.81) Acct: 4.39 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-26 22:22:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.788 (6.776) Lt: 6.085 (6.073) Accm: 2.68 (2.72) Acct: 4.24 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0016
[11-26 22:22:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:36 (0.381 s / it)
[11-26 22:22:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.821 (6.861) Lt: 6.097 (6.136) Accm: 2.61 (2.48) Acct: 3.98 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0016
[11-26 22:22:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.868 (6.843) Lt: 6.196 (6.145) Accm: 2.33 (2.40) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0013
[11-26 22:22:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 52/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.35 Lm: 6.802 (6.810) Lt: 6.093 (6.079) Accm: 2.57 (2.54) Acct: 4.29 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0016
[11-26 22:22:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:36 (0.381 s / it)
[11-26 22:22:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:36 (0.381 s / it)
[11-26 22:22:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 52/350] Total time: 0:10:36 (0.381 s / it)
[11-26 22:22:45] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.783 (6.783), Lt: 6.063 (6.063), Acc m&t: 2.67 4.23, Remain: 2 days, 4:54:48, Finish: 2024-11-28 11:17
[11-26 22:22:45] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.783 (6.783), Lt: 6.063 (6.063), Acc m&t: 2.67 4.23, Remain: 2 days, 4:54:08, Finish: 2024-11-28 11:16
[11-26 22:22:45] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.783 (6.783), Lt: 6.063 (6.063), Acc m&t: 2.67 4.23, Remain: 2 days, 4:54:37, Finish: 2024-11-28 11:17
[11-26 22:22:45] (/home/user/VAR/train.py , line 276)=> [ep52] (training ) Lm: 6.783 (6.783), Lt: 6.063 (6.063), Acc m&t: 2.67 4.23, Remain: 2 days, 4:55:05, Finish: 2024-11-28 11:17
[11-26 22:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:10:26 tlr: 0.00022 tnm: 0.31 Lm: 6.865 (6.865) Lt: 6.183 (6.183) Accm: 2.48 (2.48) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3753 data: 0.0003
[11-26 22:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:10:26 tlr: 0.00022 tnm: 0.31 Lm: 6.848 (6.848) Lt: 6.184 (6.184) Accm: 2.45 (2.45) Acct: 3.84 (3.84) proj_loss: 0.0000 (0.0000) time: 0.3756 data: 0.0003
[11-26 22:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:10:34 tlr: 0.00022 tnm: 0.31 Lm: 6.741 (6.741) Lt: 5.999 (5.999) Accm: 2.91 (2.91) Acct: 4.49 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0003
[11-26 22:22:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 0/1669] eta: 0:10:36 tlr: 0.00022 tnm: 0.31 Lm: 6.862 (6.862) Lt: 6.133 (6.133) Accm: 2.55 (2.55) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0003
[11-26 22:25:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.33 Lm: 6.823 (6.823) Lt: 6.102 (6.102) Accm: 2.46 (2.46) Acct: 3.95 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 22:25:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.33 Lm: 6.874 (6.874) Lt: 6.188 (6.188) Accm: 2.47 (2.47) Acct: 3.84 (3.84) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 22:25:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.33 Lm: 6.801 (6.801) Lt: 6.101 (6.101) Accm: 2.63 (2.63) Acct: 4.00 (4.00) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 22:25:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.33 Lm: 6.809 (6.809) Lt: 6.110 (6.110) Accm: 2.63 (2.63) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-26 22:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:54 tlr: 0.00022 tnm: 0.36 Lm: 6.753 (6.789) Lt: 6.061 (6.094) Accm: 2.64 (2.63) Acct: 3.91 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-26 22:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:54 tlr: 0.00022 tnm: 0.36 Lm: 6.783 (6.797) Lt: 6.070 (6.072) Accm: 2.55 (2.51) Acct: 4.20 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-26 22:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:54 tlr: 0.00022 tnm: 0.36 Lm: 6.862 (6.870) Lt: 6.184 (6.174) Accm: 2.45 (2.42) Acct: 3.84 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-26 22:28:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [ 834/1669] eta: 0:05:54 tlr: 0.00022 tnm: 0.36 Lm: 6.741 (6.771) Lt: 6.040 (6.080) Accm: 2.69 (2.65) Acct: 4.27 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-26 22:31:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.30 Lm: 6.793 (6.790) Lt: 6.088 (6.094) Accm: 2.64 (2.63) Acct: 4.27 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 22:31:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.30 Lm: 6.858 (6.866) Lt: 6.165 (6.150) Accm: 2.47 (2.47) Acct: 3.84 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 22:31:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.30 Lm: 6.823 (6.833) Lt: 6.102 (6.122) Accm: 2.46 (2.46) Acct: 4.01 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 22:31:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.30 Lm: 6.809 (6.866) Lt: 6.122 (6.191) Accm: 2.56 (2.44) Acct: 3.88 (3.78) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.865 (6.868) Lt: 6.183 (6.189) Accm: 2.48 (2.45) Acct: 3.86 (3.78) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0013
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:11:12 (0.403 s / it)
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.783 (6.800) Lt: 6.070 (6.085) Accm: 2.55 (2.53) Acct: 4.12 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0019
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.854 (6.844) Lt: 6.146 (6.132) Accm: 2.48 (2.55) Acct: 3.84 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0016
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 53/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.741 (6.775) Lt: 6.040 (6.077) Accm: 2.69 (2.69) Acct: 4.27 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0016
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:11:12 (0.403 s / it)
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:11:12 (0.403 s / it)
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 53/350] Total time: 0:11:12 (0.403 s / it)
[11-26 22:33:58] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.783 (6.784), Lt: 6.063 (6.069), Acc m&t: 2.67 4.23, Remain: 2 days, 4:41:40, Finish: 2024-11-28 11:15
[11-26 22:33:58] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.783 (6.784), Lt: 6.063 (6.069), Acc m&t: 2.67 4.23, Remain: 2 days, 4:42:52, Finish: 2024-11-28 11:16
[11-26 22:33:58] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.783 (6.784), Lt: 6.063 (6.069), Acc m&t: 2.67 4.23, Remain: 2 days, 4:42:02, Finish: 2024-11-28 11:16
[11-26 22:33:58] (/home/user/VAR/train.py , line 276)=> [ep53] (training ) Lm: 6.783 (6.784), Lt: 6.063 (6.069), Acc m&t: 2.67 4.23, Remain: 2 days, 4:42:09, Finish: 2024-11-28 11:16
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:34 tlr: 0.00022 tnm: 0.31 Lm: 6.756 (6.756) Lt: 6.045 (6.045) Accm: 2.84 (2.84) Acct: 4.29 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0003
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:34 tlr: 0.00022 tnm: 0.31 Lm: 6.872 (6.872) Lt: 6.178 (6.178) Accm: 2.21 (2.21) Acct: 3.51 (3.51) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0004
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:33 tlr: 0.00022 tnm: 0.31 Lm: 6.853 (6.853) Lt: 6.112 (6.112) Accm: 2.70 (2.70) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0004
[11-26 22:33:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 0/1669] eta: 0:10:28 tlr: 0.00022 tnm: 0.31 Lm: 6.840 (6.840) Lt: 6.119 (6.119) Accm: 2.53 (2.53) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3763 data: 0.0004
[11-26 22:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.859 (6.859) Lt: 6.141 (6.141) Accm: 2.48 (2.48) Acct: 4.00 (4.00) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 22:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.795 (6.795) Lt: 6.066 (6.066) Accm: 2.49 (2.49) Acct: 4.04 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 22:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.817 (6.817) Lt: 6.132 (6.132) Accm: 2.55 (2.55) Acct: 3.85 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 22:36:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.885 (6.885) Lt: 6.167 (6.167) Accm: 2.55 (2.55) Acct: 4.00 (4.00) proj_loss: 0.0000 (0.0000) time: 0.3792 data: 0.0002
[11-26 22:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.34 Lm: 6.888 (6.886) Lt: 6.165 (6.166) Accm: 2.41 (2.47) Acct: 3.77 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 22:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.34 Lm: 6.721 (6.771) Lt: 5.966 (6.033) Accm: 2.77 (2.64) Acct: 4.56 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 22:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.34 Lm: 6.777 (6.804) Lt: 6.055 (6.106) Accm: 2.56 (2.55) Acct: 4.10 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0003
[11-26 22:39:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.34 Lm: 6.840 (6.789) Lt: 6.119 (6.076) Accm: 2.53 (2.64) Acct: 4.08 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-26 22:41:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.32 Lm: 6.778 (6.771) Lt: 6.057 (6.056) Accm: 2.57 (2.63) Acct: 4.06 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 22:41:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.32 Lm: 6.804 (6.811) Lt: 6.096 (6.114) Accm: 2.60 (2.58) Acct: 4.09 (3.97) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 22:41:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.32 Lm: 6.871 (6.846) Lt: 6.138 (6.120) Accm: 2.55 (2.64) Acct: 4.00 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 22:41:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.32 Lm: 6.742 (6.769) Lt: 5.997 (6.032) Accm: 2.80 (2.69) Acct: 4.49 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.734 (6.762) Lt: 6.028 (6.032) Accm: 2.83 (2.71) Acct: 4.41 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0016
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.788 (6.806) Lt: 6.137 (6.129) Accm: 2.62 (2.59) Acct: 4.08 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0016
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.783 (6.773) Lt: 6.060 (6.057) Accm: 2.61 (2.66) Acct: 4.08 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0018
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 54/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.32 Lm: 6.853 (6.832) Lt: 6.112 (6.111) Accm: 2.56 (2.63) Acct: 4.20 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0016
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 54/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:44:34] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.779 (6.779), Lt: 6.061 (6.061), Acc m&t: 2.67 4.23, Remain: 2 days, 4:28:47, Finish: 2024-11-28 11:13
[11-26 22:44:34] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.779 (6.779), Lt: 6.061 (6.061), Acc m&t: 2.67 4.23, Remain: 2 days, 4:28:02, Finish: 2024-11-28 11:12
[11-26 22:44:34] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.779 (6.779), Lt: 6.061 (6.061), Acc m&t: 2.67 4.23, Remain: 2 days, 4:27:47, Finish: 2024-11-28 11:12
[11-26 22:44:34] (/home/user/VAR/train.py , line 276)=> [ep54] (training ) Lm: 6.779 (6.779), Lt: 6.061 (6.061), Acc m&t: 2.67 4.23, Remain: 2 days, 4:28:02, Finish: 2024-11-28 11:12
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:10:31 tlr: 0.00022 tnm: 0.30 Lm: 6.786 (6.786) Lt: 6.085 (6.085) Accm: 2.62 (2.62) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3785 data: 0.0003
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:10:31 tlr: 0.00022 tnm: 0.30 Lm: 6.624 (6.624) Lt: 5.830 (5.830) Accm: 3.31 (3.31) Acct: 5.17 (5.17) proj_loss: 0.0000 (0.0000) time: 0.3783 data: 0.0003
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:10:32 tlr: 0.00022 tnm: 0.30 Lm: 6.764 (6.764) Lt: 6.031 (6.031) Accm: 2.56 (2.56) Acct: 4.03 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3790 data: 0.0004
[11-26 22:44:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 0/1669] eta: 0:10:32 tlr: 0.00022 tnm: 0.30 Lm: 6.826 (6.826) Lt: 6.063 (6.063) Accm: 2.53 (2.53) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3787 data: 0.0003
[11-26 22:47:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.785 (6.785) Lt: 6.023 (6.023) Accm: 2.59 (2.59) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0003
[11-26 22:47:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.31 Lm: 6.863 (6.863) Lt: 6.187 (6.187) Accm: 2.45 (2.45) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 22:47:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.31 Lm: 6.806 (6.806) Lt: 6.072 (6.072) Accm: 2.49 (2.49) Acct: 4.04 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 22:47:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.31 Lm: 6.714 (6.714) Lt: 5.984 (5.984) Accm: 2.98 (2.98) Acct: 4.56 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0002
[11-26 22:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.32 Lm: 6.698 (6.709) Lt: 6.033 (6.000) Accm: 2.91 (2.96) Acct: 4.37 (4.50) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-26 22:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.32 Lm: 6.799 (6.789) Lt: 6.063 (6.051) Accm: 2.63 (2.60) Acct: 4.30 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-26 22:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.32 Lm: 6.786 (6.816) Lt: 6.085 (6.133) Accm: 2.62 (2.61) Acct: 4.18 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-26 22:49:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.32 Lm: 6.764 (6.769) Lt: 6.031 (6.042) Accm: 2.56 (2.61) Acct: 4.05 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-26 22:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.34 Lm: 6.730 (6.749) Lt: 6.007 (6.010) Accm: 2.70 (2.68) Acct: 4.28 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 22:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.34 Lm: 6.770 (6.801) Lt: 6.082 (6.120) Accm: 2.70 (2.66) Acct: 4.28 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 22:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.34 Lm: 6.751 (6.754) Lt: 6.086 (6.051) Accm: 2.78 (2.82) Acct: 4.17 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 22:52:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.34 Lm: 6.771 (6.762) Lt: 6.023 (6.029) Accm: 2.64 (2.65) Acct: 4.28 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 22:55:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.743 (6.748) Lt: 5.984 (6.013) Accm: 2.64 (2.72) Acct: 4.30 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0014
[11-26 22:55:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:55:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.754 (6.775) Lt: 6.080 (6.092) Accm: 2.79 (2.70) Acct: 4.32 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0017
[11-26 22:55:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.764 (6.755) Lt: 6.031 (6.022) Accm: 2.64 (2.67) Acct: 4.25 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0018
[11-26 22:55:09] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 55/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.33 Lm: 6.805 (6.765) Lt: 6.087 (6.059) Accm: 2.64 (2.76) Acct: 4.13 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0018
[11-26 22:55:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:55:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:55:09] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 55/350] Total time: 0:10:35 (0.381 s / it)
[11-26 22:55:09] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.779 (6.786), Lt: 6.061 (6.066), Acc m&t: 2.67 4.23, Remain: 2 days, 4:26:30, Finish: 2024-11-28 11:21
[11-26 22:55:09] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.779 (6.786), Lt: 6.061 (6.066), Acc m&t: 2.67 4.23, Remain: 2 days, 4:26:37, Finish: 2024-11-28 11:21
[11-26 22:55:09] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.779 (6.786), Lt: 6.061 (6.066), Acc m&t: 2.67 4.23, Remain: 2 days, 4:27:14, Finish: 2024-11-28 11:22
[11-26 22:55:09] (/home/user/VAR/train.py , line 276)=> [ep55] (training ) Lm: 6.779 (6.786), Lt: 6.061 (6.066), Acc m&t: 2.67 4.23, Remain: 2 days, 4:26:44, Finish: 2024-11-28 11:21
[11-26 22:55:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:10:25 tlr: 0.00022 tnm: 0.36 Lm: 6.660 (6.660) Lt: 5.993 (5.993) Accm: 2.78 (2.78) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3747 data: 0.0004
[11-26 22:55:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:10:25 tlr: 0.00022 tnm: 0.36 Lm: 6.876 (6.876) Lt: 6.149 (6.149) Accm: 2.35 (2.35) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3748 data: 0.0003
[11-26 22:55:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:10:26 tlr: 0.00022 tnm: 0.36 Lm: 6.971 (6.971) Lt: 6.241 (6.241) Accm: 2.37 (2.37) Acct: 3.82 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3753 data: 0.0003
[11-26 22:55:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 0/1669] eta: 0:10:26 tlr: 0.00022 tnm: 0.36 Lm: 6.977 (6.977) Lt: 6.296 (6.296) Accm: 2.22 (2.22) Acct: 3.70 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3751 data: 0.0004
[11-26 22:57:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.33 Lm: 6.922 (6.922) Lt: 6.212 (6.212) Accm: 2.31 (2.31) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 22:57:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.33 Lm: 6.661 (6.661) Lt: 5.972 (5.972) Accm: 2.87 (2.87) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 22:57:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.33 Lm: 6.891 (6.891) Lt: 6.179 (6.179) Accm: 2.34 (2.34) Acct: 3.79 (3.79) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 22:57:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.33 Lm: 6.835 (6.835) Lt: 6.123 (6.123) Accm: 2.41 (2.41) Acct: 3.93 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 23:01:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:53 tlr: 0.00022 tnm: 0.33 Lm: 6.791 (6.821) Lt: 6.073 (6.106) Accm: 2.44 (2.42) Acct: 3.94 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0002
[11-26 23:01:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:53 tlr: 0.00022 tnm: 0.33 Lm: 6.867 (6.831) Lt: 6.129 (6.119) Accm: 2.39 (2.46) Acct: 3.91 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0002
[11-26 23:01:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:53 tlr: 0.00022 tnm: 0.33 Lm: 6.660 (6.650) Lt: 5.950 (5.927) Accm: 2.97 (2.95) Acct: 4.79 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0002
[11-26 23:01:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [ 834/1669] eta: 0:05:53 tlr: 0.00022 tnm: 0.33 Lm: 6.876 (6.844) Lt: 6.149 (6.130) Accm: 2.35 (2.50) Acct: 3.86 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0002
[11-26 23:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.32 Lm: 6.813 (6.818) Lt: 6.091 (6.101) Accm: 2.58 (2.58) Acct: 4.11 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 23:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.32 Lm: 6.825 (6.830) Lt: 6.101 (6.112) Accm: 2.42 (2.41) Acct: 3.88 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 23:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.32 Lm: 6.871 (6.842) Lt: 6.180 (6.147) Accm: 2.40 (2.45) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-26 23:03:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1251/1669] eta: 0:02:51 tlr: 0.00022 tnm: 0.32 Lm: 6.661 (6.672) Lt: 5.972 (5.954) Accm: 2.87 (2.86) Acct: 4.55 (4.63) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.662 (6.692) Lt: 5.993 (5.970) Accm: 2.78 (2.79) Acct: 4.30 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0016
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:11:13 (0.403 s / it)
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.875 (6.849) Lt: 6.137 (6.145) Accm: 2.41 (2.46) Acct: 3.91 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0021
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.750 (6.797) Lt: 6.032 (6.085) Accm: 2.64 (2.59) Acct: 3.99 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0017
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 56/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.791 (6.820) Lt: 6.073 (6.104) Accm: 2.44 (2.48) Acct: 3.94 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0015
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:11:13 (0.403 s / it)
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:11:13 (0.403 s / it)
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 56/350] Total time: 0:11:13 (0.403 s / it)
[11-26 23:06:23] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.779 (6.784), Lt: 6.061 (6.070), Acc m&t: 2.67 4.23, Remain: 2 days, 4:13:48, Finish: 2024-11-28 11:20
[11-26 23:06:23] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.779 (6.784), Lt: 6.061 (6.070), Acc m&t: 2.67 4.23, Remain: 2 days, 4:13:32, Finish: 2024-11-28 11:19
[11-26 23:06:23] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.779 (6.784), Lt: 6.061 (6.070), Acc m&t: 2.67 4.23, Remain: 2 days, 4:14:22, Finish: 2024-11-28 11:20
[11-26 23:06:23] (/home/user/VAR/train.py , line 276)=> [ep56] (training ) Lm: 6.779 (6.784), Lt: 6.061 (6.070), Acc m&t: 2.67 4.23, Remain: 2 days, 4:13:38, Finish: 2024-11-28 11:20
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:10:28 tlr: 0.00022 tnm: 0.33 Lm: 6.727 (6.727) Lt: 6.001 (6.001) Accm: 2.94 (2.94) Acct: 4.39 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3764 data: 0.0003
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:10:27 tlr: 0.00022 tnm: 0.33 Lm: 6.661 (6.661) Lt: 5.873 (5.873) Accm: 2.94 (2.94) Acct: 4.67 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3762 data: 0.0003
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:10:28 tlr: 0.00022 tnm: 0.33 Lm: 6.812 (6.812) Lt: 6.078 (6.078) Accm: 2.46 (2.46) Acct: 3.82 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3765 data: 0.0003
[11-26 23:06:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 0/1669] eta: 0:10:28 tlr: 0.00022 tnm: 0.33 Lm: 6.930 (6.930) Lt: 6.255 (6.255) Accm: 2.47 (2.47) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3767 data: 0.0004
[11-26 23:09:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.32 Lm: 6.818 (6.818) Lt: 6.088 (6.088) Accm: 2.76 (2.76) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0003
[11-26 23:09:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.32 Lm: 6.824 (6.824) Lt: 6.102 (6.102) Accm: 2.52 (2.52) Acct: 3.92 (3.92) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 23:09:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.32 Lm: 6.750 (6.750) Lt: 5.985 (5.985) Accm: 2.82 (2.82) Acct: 4.51 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 23:09:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 417/1669] eta: 0:07:57 tlr: 0.00022 tnm: 0.32 Lm: 6.778 (6.778) Lt: 6.057 (6.057) Accm: 2.78 (2.78) Acct: 4.32 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-26 23:11:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.31 Lm: 6.757 (6.771) Lt: 6.001 (6.029) Accm: 2.68 (2.75) Acct: 4.36 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 23:11:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.31 Lm: 6.661 (6.700) Lt: 5.873 (5.926) Accm: 2.94 (2.96) Acct: 4.67 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 23:11:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.31 Lm: 6.812 (6.786) Lt: 6.078 (6.074) Accm: 2.57 (2.63) Acct: 4.01 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-26 23:11:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [ 834/1669] eta: 0:05:18 tlr: 0.00022 tnm: 0.31 Lm: 6.810 (6.815) Lt: 6.048 (6.075) Accm: 2.65 (2.73) Acct: 4.20 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-26 23:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.30 Lm: 6.804 (6.811) Lt: 6.054 (6.071) Accm: 2.63 (2.70) Acct: 4.23 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 23:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.30 Lm: 6.803 (6.788) Lt: 6.073 (6.072) Accm: 2.68 (2.67) Acct: 4.20 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 23:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.30 Lm: 6.750 (6.743) Lt: 5.985 (5.987) Accm: 2.82 (2.78) Acct: 4.51 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 23:14:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1251/1669] eta: 0:02:39 tlr: 0.00022 tnm: 0.30 Lm: 6.793 (6.801) Lt: 6.057 (6.066) Accm: 2.66 (2.66) Acct: 4.30 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.763 (6.794) Lt: 6.025 (6.058) Accm: 2.68 (2.68) Acct: 4.36 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0017
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:36 (0.381 s / it)
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.722 (6.739) Lt: 6.034 (5.997) Accm: 2.94 (2.85) Acct: 4.67 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0021
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.794 (6.782) Lt: 6.068 (6.069) Accm: 2.57 (2.65) Acct: 4.01 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0019
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 57/350] [1668/1669] eta: 0:00:00 tlr: 0.00022 tnm: 0.31 Lm: 6.799 (6.787) Lt: 6.048 (6.050) Accm: 2.61 (2.67) Acct: 4.20 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0017
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:36 (0.381 s / it)
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:36 (0.381 s / it)
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 57/350] Total time: 0:10:36 (0.381 s / it)
[11-26 23:16:59] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.766 (6.766), Lt: 6.041 (6.041), Acc m&t: 2.73 4.33, Remain: 2 days, 4:01:49, Finish: 2024-11-28 11:18
[11-26 23:16:59] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.766 (6.766), Lt: 6.041 (6.041), Acc m&t: 2.73 4.33, Remain: 2 days, 4:01:31, Finish: 2024-11-28 11:18
[11-26 23:16:59] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.766 (6.766), Lt: 6.041 (6.041), Acc m&t: 2.73 4.33, Remain: 2 days, 4:01:06, Finish: 2024-11-28 11:18
[11-26 23:16:59] (/home/user/VAR/train.py , line 276)=> [ep57] (training ) Lm: 6.766 (6.766), Lt: 6.041 (6.041), Acc m&t: 2.73 4.33, Remain: 2 days, 4:01:01, Finish: 2024-11-28 11:18
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:10:35 tlr: 0.00022 tnm: 0.34 Lm: 6.782 (6.782) Lt: 6.101 (6.101) Accm: 2.67 (2.67) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0003
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:10:29 tlr: 0.00022 tnm: 0.34 Lm: 6.853 (6.853) Lt: 6.225 (6.225) Accm: 2.45 (2.45) Acct: 3.53 (3.53) proj_loss: 0.0000 (0.0000) time: 0.3774 data: 0.0004
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:10:30 tlr: 0.00022 tnm: 0.34 Lm: 6.944 (6.944) Lt: 6.226 (6.226) Accm: 2.45 (2.45) Acct: 4.06 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3777 data: 0.0004
[11-26 23:16:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 0/1669] eta: 0:10:31 tlr: 0.00022 tnm: 0.34 Lm: 6.850 (6.850) Lt: 6.127 (6.127) Accm: 2.41 (2.41) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3784 data: 0.0003
[11-26 23:19:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.866 (6.866) Lt: 6.146 (6.146) Accm: 2.42 (2.42) Acct: 3.82 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0004
[11-26 23:19:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.914 (6.914) Lt: 6.211 (6.211) Accm: 2.40 (2.40) Acct: 3.83 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:19:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.708 (6.708) Lt: 6.010 (6.010) Accm: 2.91 (2.91) Acct: 4.50 (4.50) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:19:38] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 417/1669] eta: 0:07:56 tlr: 0.00022 tnm: 0.30 Lm: 6.847 (6.847) Lt: 6.147 (6.147) Accm: 2.54 (2.54) Acct: 4.15 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:22:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.32 Lm: 6.782 (6.815) Lt: 6.101 (6.105) Accm: 2.67 (2.73) Acct: 4.34 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:22:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.32 Lm: 6.885 (6.881) Lt: 6.195 (6.202) Accm: 2.45 (2.48) Acct: 3.99 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:22:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.32 Lm: 6.850 (6.774) Lt: 6.127 (6.038) Accm: 2.43 (2.76) Acct: 3.87 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:22:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.32 Lm: 6.738 (6.718) Lt: 6.043 (6.021) Accm: 2.90 (2.91) Acct: 4.34 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:24:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.678 (6.693) Lt: 5.972 (5.991) Accm: 2.97 (2.94) Acct: 4.71 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:24:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.760 (6.748) Lt: 6.036 (6.015) Accm: 2.80 (2.86) Acct: 4.43 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:24:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.850 (6.839) Lt: 6.191 (6.144) Accm: 2.55 (2.60) Acct: 4.03 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0003
[11-26 23:24:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.838 (6.835) Lt: 6.147 (6.140) Accm: 2.54 (2.59) Acct: 4.15 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.782 (6.803) Lt: 6.101 (6.104) Accm: 2.67 (2.65) Acct: 4.34 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0014
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:35 (0.381 s / it)
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.768 (6.752) Lt: 6.031 (6.018) Accm: 2.59 (2.81) Acct: 4.15 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0017
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.816 (6.823) Lt: 6.186 (6.126) Accm: 2.65 (2.61) Acct: 3.99 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0020
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 58/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.32 Lm: 6.738 (6.715) Lt: 6.043 (6.019) Accm: 2.90 (2.88) Acct: 4.34 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0017
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:35 (0.381 s / it)
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:35 (0.381 s / it)
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 58/350] Total time: 0:10:35 (0.381 s / it)
[11-26 23:27:35] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.766 (6.771), Lt: 6.041 (6.054), Acc m&t: 2.73 4.33, Remain: 2 days, 3:50:12, Finish: 2024-11-28 11:17
[11-26 23:27:35] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.766 (6.771), Lt: 6.041 (6.054), Acc m&t: 2.73 4.33, Remain: 2 days, 3:50:34, Finish: 2024-11-28 11:18
[11-26 23:27:35] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.766 (6.771), Lt: 6.041 (6.054), Acc m&t: 2.73 4.33, Remain: 2 days, 3:51:09, Finish: 2024-11-28 11:18
[11-26 23:27:35] (/home/user/VAR/train.py , line 276)=> [ep58] (training ) Lm: 6.766 (6.771), Lt: 6.041 (6.054), Acc m&t: 2.73 4.33, Remain: 2 days, 3:50:50, Finish: 2024-11-28 11:18
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:10:33 tlr: 0.00021 tnm: 0.31 Lm: 6.743 (6.743) Lt: 6.025 (6.025) Accm: 2.77 (2.77) Acct: 4.39 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0004
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.31 Lm: 6.841 (6.841) Lt: 6.162 (6.162) Accm: 2.32 (2.32) Acct: 3.75 (3.75) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0003
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.31 Lm: 6.750 (6.750) Lt: 5.958 (5.958) Accm: 2.85 (2.85) Acct: 4.70 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0004
[11-26 23:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 0/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.31 Lm: 6.802 (6.802) Lt: 6.107 (6.107) Accm: 2.50 (2.50) Acct: 4.06 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0003
[11-26 23:30:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.646 (6.646) Lt: 5.904 (5.904) Accm: 3.02 (3.02) Acct: 4.89 (4.89) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-26 23:30:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.734 (6.734) Lt: 6.036 (6.036) Accm: 2.57 (2.57) Acct: 4.21 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-26 23:30:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.745 (6.745) Lt: 5.997 (5.997) Accm: 2.81 (2.81) Acct: 4.48 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-26 23:30:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.781 (6.781) Lt: 6.084 (6.084) Accm: 2.67 (2.67) Acct: 4.06 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-26 23:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:54 tlr: 0.00021 tnm: 0.32 Lm: 6.762 (6.774) Lt: 6.075 (6.081) Accm: 2.77 (2.77) Acct: 4.39 (4.27) proj_loss: 0.0000 (0.0000) time: 0.5369 data: 0.0003
[11-26 23:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:54 tlr: 0.00021 tnm: 0.32 Lm: 6.750 (6.750) Lt: 5.986 (5.994) Accm: 2.85 (2.83) Acct: 4.63 (4.53) proj_loss: 0.0000 (0.0000) time: 0.5369 data: 0.0002
[11-26 23:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:54 tlr: 0.00021 tnm: 0.32 Lm: 6.770 (6.746) Lt: 6.069 (6.047) Accm: 2.71 (2.62) Acct: 4.42 (4.28) proj_loss: 0.0000 (0.0000) time: 0.5369 data: 0.0002
[11-26 23:33:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [ 834/1669] eta: 0:05:54 tlr: 0.00021 tnm: 0.32 Lm: 6.699 (6.664) Lt: 5.959 (5.922) Accm: 2.80 (2.95) Acct: 4.42 (4.73) proj_loss: 0.0000 (0.0000) time: 0.5369 data: 0.0002
[11-26 23:36:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.37 Lm: 6.750 (6.707) Lt: 6.030 (5.967) Accm: 2.69 (2.86) Acct: 4.24 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-26 23:36:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.37 Lm: 6.751 (6.750) Lt: 6.011 (6.004) Accm: 2.85 (2.87) Acct: 4.61 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-26 23:36:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.37 Lm: 6.752 (6.751) Lt: 6.050 (6.049) Accm: 2.76 (2.77) Acct: 4.32 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-26 23:36:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.37 Lm: 6.784 (6.759) Lt: 6.046 (6.041) Accm: 2.76 (2.67) Acct: 4.40 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-26 23:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.795 (6.766) Lt: 6.069 (6.048) Accm: 2.71 (2.66) Acct: 4.37 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3844 data: 0.0016
[11-26 23:38:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:11:14 (0.404 s / it)
[11-26 23:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.752 (6.772) Lt: 6.036 (6.041) Accm: 2.85 (2.78) Acct: 4.58 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3844 data: 0.0016
[11-26 23:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.762 (6.775) Lt: 6.075 (6.082) Accm: 2.76 (2.68) Acct: 4.25 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3844 data: 0.0014
[11-26 23:38:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:11:14 (0.404 s / it)
[11-26 23:38:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:11:14 (0.404 s / it)
[11-26 23:38:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 59/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.699 (6.686) Lt: 5.959 (5.953) Accm: 2.80 (2.87) Acct: 4.42 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3844 data: 0.0019
[11-26 23:38:49] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 59/350] Total time: 0:11:14 (0.404 s / it)
[11-26 23:41:06] (home/user/VAR/trainer.py, line 114)=> FID: 5.124381751094859
[11-26 23:41:06] (/home/user/VAR/train.py , line 259)=> [*] [ep59] (val 50000) Lm: 6.7650, Lt: 6.0453, Acc m&t: 2.71 4.30, Val cost: 137.16s
[11-26 23:41:06] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-26 23:41:27] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.765 (6.765), Lt: 6.041 (6.045), Acc m&t: 2.73 4.33, Remain: 2 days, 3:42:19, Finish: 2024-11-28 11:21
[11-26 23:41:27] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.765 (6.765), Lt: 6.041 (6.045), Acc m&t: 2.73 4.33, Remain: 2 days, 3:41:25, Finish: 2024-11-28 11:20
[11-26 23:41:27] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.765 (6.765), Lt: 6.041 (6.045), Acc m&t: 2.73 4.33, Remain: 2 days, 3:42:49, Finish: 2024-11-28 11:21
[11-26 23:41:27] (/home/user/VAR/train.py , line 276)=> [ep59] (training ) Lm: 6.765 (6.765), Lt: 6.041 (6.045), Acc m&t: 2.73 4.33, Remain: 2 days, 3:40:03, Finish: 2024-11-28 11:18
[11-26 23:41:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:10:47 tlr: 0.00021 tnm: 0.30 Lm: 6.887 (6.887) Lt: 6.187 (6.187) Accm: 2.23 (2.23) Acct: 3.55 (3.55) proj_loss: 0.0000 (0.0000) time: 0.3879 data: 0.0003
[11-26 23:41:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:10:47 tlr: 0.00021 tnm: 0.30 Lm: 6.825 (6.825) Lt: 6.072 (6.072) Accm: 2.66 (2.66) Acct: 4.48 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3877 data: 0.0004
[11-26 23:41:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:10:47 tlr: 0.00021 tnm: 0.30 Lm: 6.897 (6.897) Lt: 6.219 (6.219) Accm: 2.29 (2.29) Acct: 3.56 (3.56) proj_loss: 0.0000 (0.0000) time: 0.3878 data: 0.0004
[11-26 23:41:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 0/1669] eta: 0:10:47 tlr: 0.00021 tnm: 0.30 Lm: 6.718 (6.718) Lt: 5.956 (5.956) Accm: 2.70 (2.70) Acct: 4.37 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3878 data: 0.0004
[11-26 23:44:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.806 (6.806) Lt: 6.072 (6.072) Accm: 2.57 (2.57) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:44:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.835 (6.835) Lt: 6.137 (6.137) Accm: 2.45 (2.45) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:44:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.824 (6.824) Lt: 6.107 (6.107) Accm: 2.43 (2.43) Acct: 3.69 (3.69) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-26 23:44:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.768 (6.768) Lt: 6.020 (6.020) Accm: 2.72 (2.72) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-26 23:46:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.731 (6.756) Lt: 5.992 (6.011) Accm: 2.70 (2.71) Acct: 4.48 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 23:46:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.791 (6.820) Lt: 6.087 (6.102) Accm: 2.68 (2.55) Acct: 4.20 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 23:46:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.854 (6.822) Lt: 6.121 (6.088) Accm: 2.52 (2.55) Acct: 3.99 (4.11) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 23:46:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.758 (6.802) Lt: 6.034 (6.083) Accm: 2.56 (2.52) Acct: 3.82 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-26 23:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.755 (6.788) Lt: 6.015 (6.061) Accm: 2.50 (2.50) Acct: 3.95 (3.92) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.778 (6.801) Lt: 6.032 (6.070) Accm: 2.68 (2.63) Acct: 4.38 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.786 (6.794) Lt: 6.065 (6.069) Accm: 2.61 (2.62) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:49:24] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.839 (6.841) Lt: 6.137 (6.128) Accm: 2.51 (2.50) Acct: 3.96 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.793 (6.831) Lt: 6.087 (6.113) Accm: 2.60 (2.52) Acct: 4.13 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0016
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:36 (0.381 s / it)
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.758 (6.785) Lt: 6.034 (6.059) Accm: 2.56 (2.54) Acct: 4.08 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0023
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.731 (6.787) Lt: 6.006 (6.057) Accm: 2.70 (2.68) Acct: 4.48 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0018
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 60/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.743 (6.784) Lt: 6.010 (6.054) Accm: 2.64 (2.62) Acct: 4.29 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0012
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:36 (0.381 s / it)
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:36 (0.381 s / it)
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 60/350] Total time: 0:10:36 (0.381 s / it)
[11-26 23:52:04] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.765 (6.774), Lt: 6.041 (6.048), Acc m&t: 2.73 4.33, Remain: 2 days, 3:39:54, Finish: 2024-11-28 11:31
[11-26 23:52:04] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.765 (6.774), Lt: 6.041 (6.048), Acc m&t: 2.73 4.33, Remain: 2 days, 3:38:46, Finish: 2024-11-28 11:30
[11-26 23:52:04] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.765 (6.774), Lt: 6.041 (6.048), Acc m&t: 2.73 4.33, Remain: 2 days, 3:39:10, Finish: 2024-11-28 11:31
[11-26 23:52:04] (/home/user/VAR/train.py , line 276)=> [ep60] (training ) Lm: 6.765 (6.774), Lt: 6.041 (6.048), Acc m&t: 2.73 4.33, Remain: 2 days, 3:40:38, Finish: 2024-11-28 11:32
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:10:19 tlr: 0.00021 tnm: 0.32 Lm: 6.703 (6.703) Lt: 5.951 (5.951) Accm: 2.80 (2.80) Acct: 4.44 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3713 data: 0.0003
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:10:50 tlr: 0.00021 tnm: 0.32 Lm: 6.935 (6.935) Lt: 6.250 (6.250) Accm: 2.34 (2.34) Acct: 3.84 (3.84) proj_loss: 0.0000 (0.0000) time: 0.3899 data: 0.0004
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:10:21 tlr: 0.00021 tnm: 0.32 Lm: 6.698 (6.698) Lt: 5.958 (5.958) Accm: 3.13 (3.13) Acct: 4.96 (4.96) proj_loss: 0.0000 (0.0000) time: 0.3726 data: 0.0004
[11-26 23:52:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 0/1669] eta: 0:10:19 tlr: 0.00021 tnm: 0.32 Lm: 6.711 (6.711) Lt: 5.899 (5.899) Accm: 2.71 (2.71) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3714 data: 0.0003
[11-26 23:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.35 Lm: 6.735 (6.735) Lt: 5.974 (5.974) Accm: 2.73 (2.73) Acct: 4.31 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 23:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.35 Lm: 6.851 (6.851) Lt: 6.116 (6.116) Accm: 2.47 (2.47) Acct: 4.09 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 23:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.35 Lm: 6.775 (6.775) Lt: 6.074 (6.074) Accm: 2.80 (2.80) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 23:54:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.35 Lm: 6.668 (6.668) Lt: 5.907 (5.907) Accm: 2.89 (2.89) Acct: 4.49 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-26 23:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.34 Lm: 6.702 (6.679) Lt: 5.907 (5.907) Accm: 2.98 (2.92) Acct: 4.53 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.34 Lm: 6.748 (6.766) Lt: 6.035 (6.061) Accm: 2.71 (2.77) Acct: 4.20 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.34 Lm: 6.880 (6.861) Lt: 6.175 (6.136) Accm: 2.35 (2.43) Acct: 3.84 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-26 23:57:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.34 Lm: 6.712 (6.727) Lt: 5.919 (5.956) Accm: 2.75 (2.78) Acct: 4.32 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0002
[11-27 00:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.711 (6.705) Lt: 5.911 (5.943) Accm: 2.82 (2.85) Acct: 4.50 (4.50) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.860 (6.856) Lt: 6.151 (6.133) Accm: 2.35 (2.41) Acct: 3.81 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.703 (6.697) Lt: 5.929 (5.927) Accm: 2.92 (2.90) Acct: 4.68 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:00:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.723 (6.738) Lt: 5.996 (6.029) Accm: 2.85 (2.82) Acct: 4.42 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.698 (6.729) Lt: 6.035 (6.034) Accm: 2.99 (2.86) Acct: 4.39 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0017
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.840 (6.843) Lt: 6.127 (6.121) Accm: 2.35 (2.47) Acct: 3.84 (3.92) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0016
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.702 (6.696) Lt: 5.907 (5.919) Accm: 2.98 (2.95) Acct: 4.84 (4.80) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0018
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 61/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.35 Lm: 6.711 (6.698) Lt: 5.919 (5.940) Accm: 2.89 (2.87) Acct: 4.68 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0014
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 61/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:02:40] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.759 (6.759), Lt: 6.037 (6.037), Acc m&t: 2.73 4.33, Remain: 2 days, 3:14:58, Finish: 2024-11-28 11:17
[11-27 00:02:40] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.759 (6.759), Lt: 6.037 (6.037), Acc m&t: 2.73 4.33, Remain: 2 days, 3:16:18, Finish: 2024-11-28 11:18
[11-27 00:02:40] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.759 (6.759), Lt: 6.037 (6.037), Acc m&t: 2.73 4.33, Remain: 2 days, 3:16:05, Finish: 2024-11-28 11:18
[11-27 00:02:40] (/home/user/VAR/train.py , line 276)=> [ep61] (training ) Lm: 6.759 (6.759), Lt: 6.037 (6.037), Acc m&t: 2.73 4.33, Remain: 2 days, 3:15:26, Finish: 2024-11-28 11:18
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:10:29 tlr: 0.00021 tnm: 0.33 Lm: 6.847 (6.847) Lt: 6.154 (6.154) Accm: 2.38 (2.38) Acct: 3.34 (3.34) proj_loss: 0.0000 (0.0000) time: 0.3769 data: 0.0003
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.33 Lm: 6.672 (6.672) Lt: 5.959 (5.959) Accm: 3.09 (3.09) Acct: 4.70 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0003
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:10:26 tlr: 0.00021 tnm: 0.33 Lm: 6.901 (6.901) Lt: 6.198 (6.198) Accm: 2.21 (2.21) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3755 data: 0.0003
[11-27 00:02:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 0/1669] eta: 0:10:32 tlr: 0.00021 tnm: 0.33 Lm: 6.792 (6.792) Lt: 6.077 (6.077) Accm: 2.59 (2.59) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3791 data: 0.0003
[11-27 00:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.30 Lm: 6.763 (6.763) Lt: 6.011 (6.011) Accm: 2.66 (2.66) Acct: 4.38 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 00:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.30 Lm: 6.863 (6.863) Lt: 6.127 (6.127) Accm: 2.44 (2.44) Acct: 4.03 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 00:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.30 Lm: 6.724 (6.724) Lt: 5.988 (5.988) Accm: 2.76 (2.76) Acct: 4.33 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 00:05:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.30 Lm: 6.729 (6.729) Lt: 6.007 (6.007) Accm: 2.84 (2.84) Acct: 4.28 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 00:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:46 tlr: 0.00021 tnm: 0.33 Lm: 6.847 (6.785) Lt: 6.154 (6.065) Accm: 2.38 (2.63) Acct: 3.53 (4.03) proj_loss: 0.0000 (0.0000) time: 0.6783 data: 0.0002
[11-27 00:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:46 tlr: 0.00021 tnm: 0.33 Lm: 6.735 (6.748) Lt: 5.962 (5.995) Accm: 2.69 (2.67) Acct: 4.24 (4.33) proj_loss: 0.0000 (0.0000) time: 0.6783 data: 0.0003
[11-27 00:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:46 tlr: 0.00021 tnm: 0.33 Lm: 6.825 (6.758) Lt: 6.056 (6.031) Accm: 2.67 (2.72) Acct: 4.32 (4.37) proj_loss: 0.0000 (0.0000) time: 0.6783 data: 0.0002
[11-27 00:08:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [ 834/1669] eta: 0:05:46 tlr: 0.00021 tnm: 0.33 Lm: 6.763 (6.737) Lt: 6.016 (6.004) Accm: 2.88 (2.80) Acct: 4.60 (4.42) proj_loss: 0.0000 (0.0000) time: 0.6783 data: 0.0002
[11-27 00:11:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.33 Lm: 6.770 (6.757) Lt: 6.027 (6.043) Accm: 2.79 (2.78) Acct: 4.34 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:11:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.33 Lm: 6.789 (6.756) Lt: 6.060 (6.040) Accm: 2.82 (2.78) Acct: 4.49 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:11:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.33 Lm: 6.763 (6.770) Lt: 6.019 (6.030) Accm: 2.65 (2.65) Acct: 4.36 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:11:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.33 Lm: 6.766 (6.760) Lt: 6.040 (6.030) Accm: 2.62 (2.68) Acct: 4.04 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.807 (6.770) Lt: 6.154 (6.056) Accm: 2.77 (2.70) Acct: 4.55 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0020
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:11:13 (0.403 s / it)
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.792 (6.780) Lt: 6.077 (6.040) Accm: 2.62 (2.64) Acct: 4.24 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0019
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.752 (6.719) Lt: 6.056 (6.017) Accm: 2.96 (2.90) Acct: 4.67 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0018
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 62/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.776 (6.772) Lt: 6.037 (6.057) Accm: 2.71 (2.75) Acct: 4.18 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0017
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:11:13 (0.403 s / it)
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:11:13 (0.403 s / it)
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 62/350] Total time: 0:11:13 (0.403 s / it)
[11-27 00:13:53] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.759 (6.766), Lt: 6.037 (6.046), Acc m&t: 2.73 4.33, Remain: 2 days, 3:11:12, Finish: 2024-11-28 11:25
[11-27 00:13:53] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.759 (6.766), Lt: 6.037 (6.046), Acc m&t: 2.73 4.33, Remain: 2 days, 3:12:09, Finish: 2024-11-28 11:26
[11-27 00:13:53] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.759 (6.766), Lt: 6.037 (6.046), Acc m&t: 2.73 4.33, Remain: 2 days, 3:11:02, Finish: 2024-11-28 11:24
[11-27 00:13:53] (/home/user/VAR/train.py , line 276)=> [ep62] (training ) Lm: 6.759 (6.766), Lt: 6.037 (6.046), Acc m&t: 2.73 4.33, Remain: 2 days, 3:11:56, Finish: 2024-11-28 11:25
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:10:36 tlr: 0.00021 tnm: 0.32 Lm: 6.855 (6.855) Lt: 6.179 (6.179) Accm: 2.27 (2.27) Acct: 3.68 (3.68) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0004
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.32 Lm: 6.612 (6.612) Lt: 5.878 (5.878) Accm: 3.00 (3.00) Acct: 4.63 (4.63) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0004
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:10:29 tlr: 0.00021 tnm: 0.32 Lm: 6.698 (6.698) Lt: 5.909 (5.909) Accm: 2.88 (2.88) Acct: 4.99 (4.99) proj_loss: 0.0000 (0.0000) time: 0.3769 data: 0.0004
[11-27 00:13:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 0/1669] eta: 0:10:29 tlr: 0.00021 tnm: 0.32 Lm: 6.826 (6.826) Lt: 6.142 (6.142) Accm: 2.47 (2.47) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3771 data: 0.0004
[11-27 00:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.33 Lm: 6.866 (6.866) Lt: 6.180 (6.180) Accm: 2.40 (2.40) Acct: 3.74 (3.74) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 00:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.33 Lm: 6.696 (6.696) Lt: 5.929 (5.929) Accm: 2.91 (2.91) Acct: 4.75 (4.75) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 00:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.33 Lm: 6.731 (6.731) Lt: 5.972 (5.972) Accm: 2.92 (2.92) Acct: 4.87 (4.87) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0004
[11-27 00:16:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.33 Lm: 6.716 (6.716) Lt: 6.008 (6.008) Accm: 2.84 (2.84) Acct: 4.45 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 00:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.34 Lm: 6.784 (6.739) Lt: 6.020 (6.012) Accm: 2.69 (2.79) Acct: 4.18 (4.36) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 00:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.34 Lm: 6.704 (6.699) Lt: 5.980 (5.949) Accm: 2.98 (2.94) Acct: 4.63 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 00:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.34 Lm: 6.826 (6.821) Lt: 6.142 (6.101) Accm: 2.47 (2.53) Acct: 3.75 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 00:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.34 Lm: 6.763 (6.770) Lt: 6.035 (6.028) Accm: 2.88 (2.72) Acct: 4.75 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 00:21:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.761 (6.767) Lt: 6.029 (6.027) Accm: 2.80 (2.72) Acct: 4.39 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 00:21:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.736 (6.726) Lt: 6.005 (6.007) Accm: 2.75 (2.80) Acct: 4.18 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 00:21:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.779 (6.797) Lt: 6.081 (6.081) Accm: 2.58 (2.57) Acct: 4.13 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 00:21:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.742 (6.747) Lt: 5.985 (6.014) Accm: 2.90 (2.79) Acct: 4.55 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.754 (6.748) Lt: 5.990 (6.025) Accm: 2.83 (2.74) Acct: 4.48 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0016
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.731 (6.777) Lt: 6.020 (6.052) Accm: 2.69 (2.69) Acct: 4.51 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0014
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.784 (6.763) Lt: 6.020 (6.064) Accm: 2.69 (2.71) Acct: 4.18 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0013
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 63/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.34 Lm: 6.763 (6.768) Lt: 6.035 (6.028) Accm: 2.75 (2.73) Acct: 4.37 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0018
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 63/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:24:29] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.759 (6.763), Lt: 6.037 (6.040), Acc m&t: 2.73 4.33, Remain: 2 days, 2:49:20, Finish: 2024-11-28 11:13
[11-27 00:24:29] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.759 (6.763), Lt: 6.037 (6.040), Acc m&t: 2.73 4.33, Remain: 2 days, 2:48:20, Finish: 2024-11-28 11:12
[11-27 00:24:29] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.759 (6.763), Lt: 6.037 (6.040), Acc m&t: 2.73 4.33, Remain: 2 days, 2:49:11, Finish: 2024-11-28 11:13
[11-27 00:24:29] (/home/user/VAR/train.py , line 276)=> [ep63] (training ) Lm: 6.759 (6.763), Lt: 6.037 (6.040), Acc m&t: 2.73 4.33, Remain: 2 days, 2:48:16, Finish: 2024-11-28 11:12
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.30 Lm: 6.791 (6.791) Lt: 6.043 (6.043) Accm: 2.67 (2.67) Acct: 4.25 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3779 data: 0.0004
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.30 Lm: 6.943 (6.943) Lt: 6.188 (6.188) Accm: 2.36 (2.36) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0004
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.30 Lm: 6.657 (6.657) Lt: 5.922 (5.922) Accm: 2.96 (2.96) Acct: 4.44 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3778 data: 0.0003
[11-27 00:24:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.30 Lm: 6.526 (6.526) Lt: 5.725 (5.725) Accm: 3.33 (3.33) Acct: 5.61 (5.61) proj_loss: 0.0000 (0.0000) time: 0.3777 data: 0.0004
[11-27 00:27:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.681 (6.681) Lt: 5.909 (5.909) Accm: 2.92 (2.92) Acct: 4.87 (4.87) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-27 00:27:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.816 (6.816) Lt: 6.083 (6.083) Accm: 2.69 (2.69) Acct: 4.19 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-27 00:27:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.657 (6.657) Lt: 5.932 (5.932) Accm: 2.94 (2.94) Acct: 4.46 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-27 00:27:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.827 (6.827) Lt: 6.079 (6.079) Accm: 2.77 (2.77) Acct: 4.48 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-27 00:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.34 Lm: 6.712 (6.781) Lt: 5.985 (6.048) Accm: 3.03 (2.86) Acct: 4.72 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 00:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.34 Lm: 6.717 (6.693) Lt: 6.008 (5.942) Accm: 3.02 (2.96) Acct: 4.68 (4.81) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 00:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.34 Lm: 6.658 (6.704) Lt: 5.942 (5.979) Accm: 2.91 (2.85) Acct: 4.44 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 00:29:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.34 Lm: 6.791 (6.796) Lt: 6.043 (6.048) Accm: 2.71 (2.76) Acct: 4.25 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 00:32:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.773 (6.766) Lt: 6.010 (6.025) Accm: 2.69 (2.74) Acct: 4.19 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 00:32:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.776 (6.748) Lt: 6.050 (6.006) Accm: 2.77 (2.79) Acct: 4.41 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 00:32:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.820 (6.818) Lt: 6.087 (6.101) Accm: 2.70 (2.72) Acct: 4.29 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 00:32:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.31 Lm: 6.728 (6.737) Lt: 6.006 (6.002) Accm: 2.82 (2.82) Acct: 4.38 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 00:35:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.724 (6.734) Lt: 5.982 (5.998) Accm: 2.91 (2.91) Acct: 4.44 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0014
[11-27 00:35:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:35:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.789 (6.756) Lt: 6.090 (6.023) Accm: 2.72 (2.78) Acct: 4.13 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0016
[11-27 00:35:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.761 (6.765) Lt: 6.043 (6.030) Accm: 2.71 (2.77) Acct: 4.25 (4.40) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0015
[11-27 00:35:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 64/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.839 (6.822) Lt: 6.148 (6.110) Accm: 2.67 (2.71) Acct: 4.18 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0016
[11-27 00:35:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:35:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:35:04] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 64/350] Total time: 0:10:35 (0.381 s / it)
[11-27 00:35:04] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.759 (6.763), Lt: 6.037 (6.040), Acc m&t: 2.74 4.34, Remain: 2 days, 2:44:05, Finish: 2024-11-28 11:19
[11-27 00:35:04] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.759 (6.763), Lt: 6.037 (6.040), Acc m&t: 2.74 4.34, Remain: 2 days, 2:44:00, Finish: 2024-11-28 11:19
[11-27 00:35:04] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.759 (6.763), Lt: 6.037 (6.040), Acc m&t: 2.74 4.34, Remain: 2 days, 2:44:38, Finish: 2024-11-28 11:19
[11-27 00:35:04] (/home/user/VAR/train.py , line 276)=> [ep64] (training ) Lm: 6.759 (6.763), Lt: 6.037 (6.040), Acc m&t: 2.74 4.34, Remain: 2 days, 2:44:19, Finish: 2024-11-28 11:19
[11-27 00:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.30 Lm: 6.836 (6.836) Lt: 6.119 (6.119) Accm: 2.46 (2.46) Acct: 3.89 (3.89) proj_loss: 0.0000 (0.0000) time: 0.3765 data: 0.0003
[11-27 00:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.30 Lm: 6.777 (6.777) Lt: 6.081 (6.081) Accm: 2.48 (2.48) Acct: 4.08 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3767 data: 0.0004
[11-27 00:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.30 Lm: 6.704 (6.704) Lt: 5.941 (5.941) Accm: 2.70 (2.70) Acct: 4.29 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0004
[11-27 00:35:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 0/1669] eta: 0:10:47 tlr: 0.00021 tnm: 0.30 Lm: 6.582 (6.582) Lt: 5.813 (5.813) Accm: 3.26 (3.26) Acct: 5.10 (5.10) proj_loss: 0.0000 (0.0000) time: 0.3879 data: 0.0003
[11-27 00:37:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.35 Lm: 6.698 (6.698) Lt: 5.966 (5.966) Accm: 2.94 (2.94) Acct: 4.64 (4.64) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:37:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.35 Lm: 6.668 (6.668) Lt: 5.951 (5.951) Accm: 2.78 (2.78) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:37:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.35 Lm: 6.752 (6.752) Lt: 6.022 (6.022) Accm: 2.71 (2.71) Acct: 4.28 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:37:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.35 Lm: 6.722 (6.722) Lt: 5.997 (5.997) Accm: 2.87 (2.87) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 00:40:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:36 tlr: 0.00021 tnm: 0.33 Lm: 6.700 (6.715) Lt: 6.021 (6.005) Accm: 2.63 (2.79) Acct: 4.13 (4.40) proj_loss: 0.0000 (0.0000) time: 0.4262 data: 0.0002
[11-27 00:40:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:36 tlr: 0.00021 tnm: 0.33 Lm: 6.649 (6.682) Lt: 5.856 (5.929) Accm: 3.19 (3.02) Acct: 5.10 (4.79) proj_loss: 0.0000 (0.0000) time: 0.4262 data: 0.0002
[11-27 00:40:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:36 tlr: 0.00021 tnm: 0.33 Lm: 6.777 (6.715) Lt: 6.081 (6.001) Accm: 2.86 (2.81) Acct: 4.63 (4.57) proj_loss: 0.0000 (0.0000) time: 0.4262 data: 0.0002
[11-27 00:40:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [ 834/1669] eta: 0:05:36 tlr: 0.00021 tnm: 0.33 Lm: 6.704 (6.730) Lt: 5.941 (5.976) Accm: 2.72 (2.76) Acct: 4.29 (4.41) proj_loss: 0.0000 (0.0000) time: 0.4262 data: 0.0002
[11-27 00:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.32 Lm: 6.696 (6.703) Lt: 5.925 (5.959) Accm: 2.79 (2.87) Acct: 4.48 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 00:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.32 Lm: 6.682 (6.702) Lt: 5.996 (5.997) Accm: 2.74 (2.80) Acct: 4.38 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 00:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.32 Lm: 6.732 (6.723) Lt: 5.987 (5.991) Accm: 2.91 (2.85) Acct: 4.64 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 00:43:37] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.32 Lm: 6.793 (6.760) Lt: 6.091 (6.051) Accm: 2.70 (2.74) Acct: 4.36 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0002
[11-27 00:46:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.777 (6.759) Lt: 6.081 (6.042) Accm: 2.86 (2.78) Acct: 4.51 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0017
[11-27 00:46:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.649 (6.706) Lt: 5.856 (5.964) Accm: 2.89 (2.86) Acct: 4.73 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0023
[11-27 00:46:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.665 (6.684) Lt: 5.972 (5.961) Accm: 2.85 (2.85) Acct: 4.63 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0014
[11-27 00:46:17] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 65/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.704 (6.735) Lt: 5.941 (5.998) Accm: 2.72 (2.83) Acct: 4.29 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0018
[11-27 00:46:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:11:12 (0.403 s / it)
[11-27 00:46:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:11:12 (0.403 s / it)
[11-27 00:46:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:11:12 (0.403 s / it)
[11-27 00:46:17] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 65/350] Total time: 0:11:12 (0.403 s / it)
[11-27 00:46:17] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.752 (6.752), Lt: 6.026 (6.026), Acc m&t: 2.75 4.36, Remain: 2 days, 2:32:06, Finish: 2024-11-28 11:18
[11-27 00:46:17] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.752 (6.752), Lt: 6.026 (6.026), Acc m&t: 2.75 4.36, Remain: 2 days, 2:34:08, Finish: 2024-11-28 11:20
[11-27 00:46:17] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.752 (6.752), Lt: 6.026 (6.026), Acc m&t: 2.75 4.36, Remain: 2 days, 2:31:50, Finish: 2024-11-28 11:18
[11-27 00:46:17] (/home/user/VAR/train.py , line 276)=> [ep65] (training ) Lm: 6.752 (6.752), Lt: 6.026 (6.026), Acc m&t: 2.75 4.36, Remain: 2 days, 2:33:57, Finish: 2024-11-28 11:20
[11-27 00:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:10:45 tlr: 0.00021 tnm: 0.31 Lm: 6.826 (6.826) Lt: 6.141 (6.141) Accm: 2.46 (2.46) Acct: 3.82 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3870 data: 0.0004
[11-27 00:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:10:44 tlr: 0.00021 tnm: 0.31 Lm: 6.661 (6.661) Lt: 5.907 (5.907) Accm: 3.08 (3.08) Acct: 5.06 (5.06) proj_loss: 0.0000 (0.0000) time: 0.3863 data: 0.0003
[11-27 00:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:10:46 tlr: 0.00021 tnm: 0.31 Lm: 6.868 (6.868) Lt: 6.171 (6.171) Accm: 2.33 (2.33) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3874 data: 0.0004
[11-27 00:46:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 0/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.31 Lm: 6.811 (6.811) Lt: 6.103 (6.103) Accm: 2.64 (2.64) Acct: 4.06 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3799 data: 0.0003
[11-27 00:48:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.33 Lm: 6.766 (6.766) Lt: 6.050 (6.050) Accm: 2.72 (2.72) Acct: 4.26 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 00:48:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.33 Lm: 6.804 (6.804) Lt: 6.127 (6.127) Accm: 2.54 (2.54) Acct: 3.83 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 00:48:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.33 Lm: 6.815 (6.815) Lt: 6.081 (6.081) Accm: 2.52 (2.52) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 00:48:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.33 Lm: 6.628 (6.628) Lt: 5.848 (5.848) Accm: 3.09 (3.09) Acct: 5.05 (5.05) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 00:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.31 Lm: 6.661 (6.736) Lt: 5.907 (5.981) Accm: 3.08 (2.79) Acct: 5.04 (4.59) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 00:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.31 Lm: 6.762 (6.778) Lt: 5.991 (6.051) Accm: 2.58 (2.54) Acct: 4.36 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-27 00:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.31 Lm: 6.826 (6.821) Lt: 6.112 (6.118) Accm: 2.62 (2.64) Acct: 3.84 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 00:51:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.31 Lm: 6.811 (6.836) Lt: 6.103 (6.120) Accm: 2.64 (2.49) Acct: 4.06 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 00:54:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.36 Lm: 6.766 (6.792) Lt: 6.050 (6.069) Accm: 2.72 (2.57) Acct: 4.24 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 00:54:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.36 Lm: 6.740 (6.757) Lt: 6.002 (6.010) Accm: 2.84 (2.74) Acct: 4.72 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 00:54:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.36 Lm: 6.746 (6.766) Lt: 6.022 (6.051) Accm: 2.64 (2.62) Acct: 4.43 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 00:54:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.36 Lm: 6.841 (6.853) Lt: 6.127 (6.156) Accm: 2.54 (2.54) Acct: 3.83 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.826 (6.833) Lt: 6.112 (6.137) Accm: 2.62 (2.58) Acct: 3.84 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0018
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:36 (0.381 s / it)
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.731 (6.756) Lt: 6.011 (6.043) Accm: 2.70 (2.69) Acct: 4.51 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0017
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.721 (6.763) Lt: 5.996 (6.038) Accm: 2.80 (2.62) Acct: 4.42 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0014
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 66/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.799 (6.765) Lt: 6.064 (6.021) Accm: 2.62 (2.72) Acct: 4.39 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0015
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:36 (0.381 s / it)
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:36 (0.381 s / it)
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 66/350] Total time: 0:10:36 (0.381 s / it)
[11-27 00:56:54] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.752 (6.758), Lt: 6.026 (6.035), Acc m&t: 2.75 4.36, Remain: 2 days, 2:27:46, Finish: 2024-11-28 11:24
[11-27 00:56:54] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.752 (6.758), Lt: 6.026 (6.035), Acc m&t: 2.75 4.36, Remain: 2 days, 2:26:46, Finish: 2024-11-28 11:23
[11-27 00:56:54] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.752 (6.758), Lt: 6.026 (6.035), Acc m&t: 2.75 4.36, Remain: 2 days, 2:27:34, Finish: 2024-11-28 11:24
[11-27 00:56:54] (/home/user/VAR/train.py , line 276)=> [ep66] (training ) Lm: 6.752 (6.758), Lt: 6.026 (6.035), Acc m&t: 2.75 4.36, Remain: 2 days, 2:27:58, Finish: 2024-11-28 11:24
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:10:30 tlr: 0.00021 tnm: 0.32 Lm: 6.844 (6.844) Lt: 6.143 (6.143) Accm: 2.47 (2.47) Acct: 4.05 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3779 data: 0.0003
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.32 Lm: 6.797 (6.797) Lt: 6.057 (6.057) Accm: 2.69 (2.69) Acct: 4.27 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3766 data: 0.0004
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:10:38 tlr: 0.00021 tnm: 0.32 Lm: 6.764 (6.764) Lt: 6.057 (6.057) Accm: 2.75 (2.75) Acct: 4.61 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0004
[11-27 00:56:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 0/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.32 Lm: 6.666 (6.666) Lt: 5.932 (5.932) Accm: 2.84 (2.84) Acct: 4.61 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3767 data: 0.0003
[11-27 00:59:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.32 Lm: 6.715 (6.715) Lt: 6.006 (6.006) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-27 00:59:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.32 Lm: 6.878 (6.878) Lt: 6.189 (6.189) Accm: 2.42 (2.42) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-27 00:59:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.32 Lm: 6.771 (6.771) Lt: 6.024 (6.024) Accm: 2.72 (2.72) Acct: 4.38 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-27 00:59:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.32 Lm: 6.756 (6.756) Lt: 6.021 (6.021) Accm: 2.83 (2.83) Acct: 4.75 (4.75) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-27 01:02:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.764 (6.761) Lt: 6.021 (6.021) Accm: 2.75 (2.77) Acct: 4.61 (4.64) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 01:02:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.844 (6.838) Lt: 6.143 (6.133) Accm: 2.47 (2.44) Acct: 4.05 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 01:02:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.745 (6.687) Lt: 5.991 (5.942) Accm: 2.76 (2.98) Acct: 4.49 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 01:02:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.681 (6.703) Lt: 5.967 (5.993) Accm: 2.93 (2.91) Acct: 4.61 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 01:04:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.691 (6.703) Lt: 5.976 (5.991) Accm: 2.88 (2.87) Acct: 4.55 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-27 01:04:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.756 (6.749) Lt: 6.024 (6.022) Accm: 2.83 (2.82) Acct: 4.53 (4.59) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-27 01:04:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.771 (6.715) Lt: 6.024 (5.983) Accm: 2.72 (2.84) Acct: 4.38 (4.47) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-27 01:04:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.33 Lm: 6.824 (6.829) Lt: 6.116 (6.122) Accm: 2.47 (2.45) Acct: 3.86 (3.90) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0002
[11-27 01:07:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.803 (6.802) Lt: 6.089 (6.085) Accm: 2.47 (2.53) Acct: 4.05 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0013
[11-27 01:07:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:36 (0.381 s / it)
[11-27 01:07:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.748 (6.710) Lt: 6.021 (5.980) Accm: 2.91 (2.91) Acct: 4.61 (4.69) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0015
[11-27 01:07:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.701 (6.738) Lt: 5.984 (6.022) Accm: 2.84 (2.79) Acct: 4.49 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0015
[11-27 01:07:30] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 67/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.31 Lm: 6.777 (6.727) Lt: 5.997 (5.986) Accm: 2.76 (2.84) Acct: 4.41 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0017
[11-27 01:07:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:36 (0.381 s / it)
[11-27 01:07:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:36 (0.381 s / it)
[11-27 01:07:30] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 67/350] Total time: 0:10:36 (0.381 s / it)
[11-27 01:07:30] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.749 (6.749), Lt: 6.026 (6.027), Acc m&t: 2.75 4.36, Remain: 2 days, 2:16:42, Finish: 2024-11-28 11:24
[11-27 01:07:30] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.749 (6.749), Lt: 6.026 (6.027), Acc m&t: 2.75 4.36, Remain: 2 days, 2:16:40, Finish: 2024-11-28 11:24
[11-27 01:07:30] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.749 (6.749), Lt: 6.026 (6.027), Acc m&t: 2.75 4.36, Remain: 2 days, 2:18:21, Finish: 2024-11-28 11:25
[11-27 01:07:30] (/home/user/VAR/train.py , line 276)=> [ep67] (training ) Lm: 6.749 (6.749), Lt: 6.026 (6.027), Acc m&t: 2.75 4.36, Remain: 2 days, 2:17:34, Finish: 2024-11-28 11:25
[11-27 01:07:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:37 tlr: 0.00021 tnm: 0.32 Lm: 6.867 (6.867) Lt: 6.184 (6.184) Accm: 2.35 (2.35) Acct: 3.39 (3.39) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0004
[11-27 01:07:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:37 tlr: 0.00021 tnm: 0.32 Lm: 6.687 (6.687) Lt: 5.970 (5.970) Accm: 2.67 (2.67) Acct: 4.36 (4.36) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0003
[11-27 01:07:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:38 tlr: 0.00021 tnm: 0.32 Lm: 6.775 (6.775) Lt: 6.105 (6.105) Accm: 2.67 (2.67) Acct: 4.01 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0004
[11-27 01:07:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 0/1669] eta: 0:10:36 tlr: 0.00021 tnm: 0.32 Lm: 6.847 (6.847) Lt: 6.132 (6.132) Accm: 2.62 (2.62) Acct: 4.10 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0003
[11-27 01:10:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.822 (6.822) Lt: 6.101 (6.101) Accm: 2.55 (2.55) Acct: 3.96 (3.96) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 01:10:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.737 (6.737) Lt: 6.012 (6.012) Accm: 2.72 (2.72) Acct: 4.09 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 01:10:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.714 (6.714) Lt: 6.012 (6.012) Accm: 2.63 (2.63) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 01:10:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.747 (6.747) Lt: 6.018 (6.018) Accm: 2.71 (2.71) Acct: 4.19 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 01:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:37 tlr: 0.00021 tnm: 0.32 Lm: 6.775 (6.779) Lt: 6.105 (6.061) Accm: 2.67 (2.64) Acct: 4.06 (4.15) proj_loss: 0.0000 (0.0000) time: 0.7373 data: 0.0002
[11-27 01:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:37 tlr: 0.00021 tnm: 0.32 Lm: 6.797 (6.798) Lt: 6.069 (6.056) Accm: 2.62 (2.60) Acct: 4.10 (4.16) proj_loss: 0.0000 (0.0000) time: 0.7373 data: 0.0002
[11-27 01:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:37 tlr: 0.00021 tnm: 0.32 Lm: 6.715 (6.714) Lt: 5.970 (5.985) Accm: 2.67 (2.69) Acct: 4.36 (4.34) proj_loss: 0.0000 (0.0000) time: 0.7373 data: 0.0002
[11-27 01:13:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [ 834/1669] eta: 0:05:37 tlr: 0.00021 tnm: 0.32 Lm: 6.864 (6.779) Lt: 6.177 (6.067) Accm: 2.43 (2.62) Acct: 3.79 (3.99) proj_loss: 0.0000 (0.0000) time: 0.7373 data: 0.0002
[11-27 01:16:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.30 Lm: 6.780 (6.758) Lt: 6.076 (6.044) Accm: 2.59 (2.65) Acct: 4.05 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 01:16:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.30 Lm: 6.809 (6.813) Lt: 6.127 (6.108) Accm: 2.58 (2.60) Acct: 4.04 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 01:16:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.30 Lm: 6.794 (6.796) Lt: 6.062 (6.055) Accm: 2.66 (2.64) Acct: 4.33 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 01:16:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.30 Lm: 6.715 (6.714) Lt: 5.970 (5.981) Accm: 2.74 (2.76) Acct: 4.50 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 01:18:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.715 (6.736) Lt: 5.970 (6.005) Accm: 2.80 (2.77) Acct: 4.56 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0014
[11-27 01:18:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:11:15 (0.405 s / it)
[11-27 01:18:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.750 (6.757) Lt: 6.043 (6.043) Accm: 2.48 (2.62) Acct: 3.79 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0016
[11-27 01:18:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.779 (6.806) Lt: 6.105 (6.097) Accm: 2.66 (2.61) Acct: 4.06 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0021
[11-27 01:18:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 68/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.30 Lm: 6.797 (6.798) Lt: 6.055 (6.047) Accm: 2.64 (2.64) Acct: 4.37 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0017
[11-27 01:18:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:11:15 (0.405 s / it)
[11-27 01:18:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:11:15 (0.405 s / it)
[11-27 01:18:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 68/350] Total time: 0:11:15 (0.405 s / it)
[11-27 01:18:45] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.749 (6.768), Lt: 6.026 (6.046), Acc m&t: 2.75 4.36, Remain: 2 days, 2:02:57, Finish: 2024-11-28 11:21
[11-27 01:18:45] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.749 (6.768), Lt: 6.026 (6.046), Acc m&t: 2.75 4.36, Remain: 2 days, 2:04:02, Finish: 2024-11-28 11:22
[11-27 01:18:45] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.749 (6.768), Lt: 6.026 (6.046), Acc m&t: 2.75 4.36, Remain: 2 days, 2:02:07, Finish: 2024-11-28 11:20
[11-27 01:18:45] (/home/user/VAR/train.py , line 276)=> [ep68] (training ) Lm: 6.749 (6.768), Lt: 6.026 (6.046), Acc m&t: 2.75 4.36, Remain: 2 days, 2:03:16, Finish: 2024-11-28 11:22
[11-27 01:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:10:27 tlr: 0.00021 tnm: 0.32 Lm: 6.765 (6.765) Lt: 6.096 (6.096) Accm: 2.60 (2.60) Acct: 3.94 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3758 data: 0.0004
[11-27 01:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:10:27 tlr: 0.00021 tnm: 0.32 Lm: 6.744 (6.744) Lt: 6.021 (6.021) Accm: 2.83 (2.83) Acct: 4.49 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3759 data: 0.0004
[11-27 01:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:11:09 tlr: 0.00021 tnm: 0.32 Lm: 6.612 (6.612) Lt: 5.903 (5.903) Accm: 3.33 (3.33) Acct: 5.13 (5.13) proj_loss: 0.0000 (0.0000) time: 0.4010 data: 0.0003
[11-27 01:18:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 0/1669] eta: 0:10:25 tlr: 0.00021 tnm: 0.32 Lm: 6.884 (6.884) Lt: 6.185 (6.185) Accm: 2.52 (2.52) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3748 data: 0.0004
[11-27 01:21:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.795 (6.795) Lt: 6.096 (6.096) Accm: 2.52 (2.52) Acct: 3.84 (3.84) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-27 01:21:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.744 (6.744) Lt: 6.002 (6.002) Accm: 2.80 (2.80) Acct: 4.43 (4.43) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0002
[11-27 01:21:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.743 (6.743) Lt: 6.022 (6.022) Accm: 2.94 (2.94) Acct: 4.71 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-27 01:21:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.32 Lm: 6.814 (6.814) Lt: 6.142 (6.142) Accm: 2.47 (2.47) Acct: 3.88 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-27 01:24:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.33 Lm: 6.805 (6.811) Lt: 6.096 (6.125) Accm: 2.56 (2.50) Acct: 3.94 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 01:24:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.33 Lm: 6.744 (6.722) Lt: 5.982 (5.980) Accm: 2.83 (2.88) Acct: 4.49 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 01:24:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.33 Lm: 6.777 (6.755) Lt: 6.093 (6.045) Accm: 2.56 (2.81) Acct: 4.29 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 01:24:03] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [ 834/1669] eta: 0:05:17 tlr: 0.00021 tnm: 0.33 Lm: 6.812 (6.801) Lt: 6.102 (6.098) Accm: 2.52 (2.50) Acct: 3.82 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 01:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.797 (6.796) Lt: 6.087 (6.092) Accm: 2.52 (2.52) Acct: 3.85 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 01:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.730 (6.720) Lt: 6.002 (5.992) Accm: 2.82 (2.87) Acct: 4.46 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 01:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.750 (6.747) Lt: 6.030 (6.026) Accm: 2.65 (2.79) Acct: 4.24 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 01:26:42] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.795 (6.804) Lt: 6.094 (6.107) Accm: 2.49 (2.48) Acct: 3.95 (4.00) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 01:29:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.784 (6.766) Lt: 6.091 (6.058) Accm: 2.56 (2.62) Acct: 3.96 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0019
[11-27 01:29:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:35 (0.381 s / it)
[11-27 01:29:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.744 (6.736) Lt: 6.021 (6.016) Accm: 2.83 (2.89) Acct: 4.49 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0016
[11-27 01:29:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.812 (6.816) Lt: 6.102 (6.112) Accm: 2.52 (2.50) Acct: 3.82 (3.88) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0020
[11-27 01:29:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 69/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.723 (6.732) Lt: 5.966 (6.009) Accm: 2.75 (2.85) Acct: 4.29 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0021
[11-27 01:29:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:35 (0.381 s / it)
[11-27 01:29:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:35 (0.381 s / it)
[11-27 01:29:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 69/350] Total time: 0:10:35 (0.381 s / it)
[11-27 01:31:33] (home/user/VAR/trainer.py, line 114)=> FID: 4.928822897166015
[11-27 01:31:34] (/home/user/VAR/train.py , line 259)=> [*] [ep69] (val 50000) Lm: 6.7539, Lt: 6.0309, Acc m&t: 2.76 4.35, Val cost: 132.36s
[11-27 01:31:34] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-27 01:31:55] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.749 (6.754), Lt: 6.026 (6.031), Acc m&t: 2.76 4.36, Remain: 2 days, 1:47:23, Finish: 2024-11-28 11:16
[11-27 01:31:55] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.749 (6.754), Lt: 6.026 (6.031), Acc m&t: 2.76 4.36, Remain: 2 days, 1:46:10, Finish: 2024-11-28 11:15
[11-27 01:31:55] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.749 (6.754), Lt: 6.026 (6.031), Acc m&t: 2.76 4.36, Remain: 2 days, 1:47:17, Finish: 2024-11-28 11:16
[11-27 01:31:55] (/home/user/VAR/train.py , line 276)=> [ep69] (training ) Lm: 6.749 (6.754), Lt: 6.026 (6.031), Acc m&t: 2.76 4.36, Remain: 2 days, 1:47:10, Finish: 2024-11-28 11:16
[11-27 01:31:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:29 tlr: 0.00021 tnm: 0.33 Lm: 6.798 (6.798) Lt: 6.104 (6.104) Accm: 2.75 (2.75) Acct: 4.15 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3775 data: 0.0004
[11-27 01:31:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.33 Lm: 6.810 (6.810) Lt: 6.065 (6.065) Accm: 2.46 (2.46) Acct: 3.93 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3767 data: 0.0003
[11-27 01:31:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:10:28 tlr: 0.00021 tnm: 0.33 Lm: 6.788 (6.788) Lt: 6.078 (6.078) Accm: 2.52 (2.52) Acct: 4.03 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0004
[11-27 01:31:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 0/1669] eta: 0:11:02 tlr: 0.00021 tnm: 0.33 Lm: 6.694 (6.694) Lt: 5.927 (5.927) Accm: 2.67 (2.67) Acct: 4.42 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3971 data: 0.0004
[11-27 01:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.34 Lm: 6.720 (6.720) Lt: 5.969 (5.969) Accm: 2.79 (2.79) Acct: 4.54 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0002
[11-27 01:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.34 Lm: 6.844 (6.844) Lt: 6.161 (6.161) Accm: 2.58 (2.58) Acct: 4.06 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0002
[11-27 01:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.34 Lm: 6.811 (6.811) Lt: 6.067 (6.067) Accm: 2.55 (2.55) Acct: 4.11 (4.11) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0002
[11-27 01:34:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.34 Lm: 6.751 (6.751) Lt: 6.033 (6.033) Accm: 2.65 (2.65) Acct: 4.04 (4.04) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0002
[11-27 01:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.788 (6.775) Lt: 6.078 (6.064) Accm: 2.52 (2.58) Acct: 4.03 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-27 01:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.810 (6.755) Lt: 6.065 (6.025) Accm: 2.64 (2.80) Acct: 4.29 (4.40) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-27 01:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.694 (6.694) Lt: 5.973 (5.970) Accm: 2.90 (2.96) Acct: 4.65 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-27 01:37:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [ 834/1669] eta: 0:05:18 tlr: 0.00021 tnm: 0.33 Lm: 6.804 (6.830) Lt: 6.104 (6.124) Accm: 2.65 (2.61) Acct: 4.15 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-27 01:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.807 (6.825) Lt: 6.108 (6.121) Accm: 2.68 (2.63) Acct: 4.20 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-27 01:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.751 (6.740) Lt: 6.033 (6.023) Accm: 2.65 (2.70) Acct: 4.04 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-27 01:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.720 (6.720) Lt: 5.992 (6.001) Accm: 2.79 (2.88) Acct: 4.54 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-27 01:39:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1251/1669] eta: 0:02:39 tlr: 0.00021 tnm: 0.32 Lm: 6.809 (6.768) Lt: 6.067 (6.040) Accm: 2.59 (2.73) Acct: 4.20 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3804 data: 0.0002
[11-27 01:42:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.807 (6.774) Lt: 6.070 (6.053) Accm: 2.53 (2.66) Acct: 4.12 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0022
[11-27 01:42:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:36 (0.381 s / it)
[11-27 01:42:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.804 (6.820) Lt: 6.104 (6.109) Accm: 2.65 (2.60) Acct: 4.15 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0016
[11-27 01:42:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.744 (6.725) Lt: 6.010 (6.009) Accm: 2.67 (2.81) Acct: 4.42 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0017
[11-27 01:42:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 70/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.714 (6.720) Lt: 5.987 (5.983) Accm: 2.72 (2.70) Acct: 4.05 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0016
[11-27 01:42:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:36 (0.381 s / it)
[11-27 01:42:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:36 (0.381 s / it)
[11-27 01:42:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 70/350] Total time: 0:10:36 (0.381 s / it)
[11-27 01:42:31] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.743 (6.743), Lt: 6.018 (6.018), Acc m&t: 2.76 4.36, Remain: 2 days, 1:38:36, Finish: 2024-11-28 11:21
[11-27 01:42:31] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.743 (6.743), Lt: 6.018 (6.018), Acc m&t: 2.76 4.36, Remain: 2 days, 1:37:37, Finish: 2024-11-28 11:20
[11-27 01:42:31] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.743 (6.743), Lt: 6.018 (6.018), Acc m&t: 2.76 4.36, Remain: 2 days, 1:38:09, Finish: 2024-11-28 11:20
[11-27 01:42:31] (/home/user/VAR/train.py , line 276)=> [ep70] (training ) Lm: 6.743 (6.743), Lt: 6.018 (6.018), Acc m&t: 2.76 4.36, Remain: 2 days, 1:38:36, Finish: 2024-11-28 11:21
[11-27 01:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:50 tlr: 0.00021 tnm: 0.33 Lm: 6.618 (6.618) Lt: 5.869 (5.869) Accm: 2.93 (2.93) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3899 data: 0.0004
[11-27 01:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:16 tlr: 0.00021 tnm: 0.33 Lm: 6.640 (6.640) Lt: 5.857 (5.857) Accm: 3.30 (3.30) Acct: 5.30 (5.30) proj_loss: 0.0000 (0.0000) time: 0.3692 data: 0.0004
[11-27 01:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:16 tlr: 0.00021 tnm: 0.33 Lm: 6.545 (6.545) Lt: 5.726 (5.726) Accm: 3.30 (3.30) Acct: 5.22 (5.22) proj_loss: 0.0000 (0.0000) time: 0.3695 data: 0.0004
[11-27 01:42:32] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 0/1669] eta: 0:10:15 tlr: 0.00021 tnm: 0.33 Lm: 6.714 (6.714) Lt: 6.020 (6.020) Accm: 2.89 (2.89) Acct: 4.58 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3690 data: 0.0003
[11-27 01:45:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.31 Lm: 6.797 (6.797) Lt: 6.081 (6.081) Accm: 2.70 (2.70) Acct: 4.32 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-27 01:45:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.31 Lm: 6.620 (6.620) Lt: 5.829 (5.829) Accm: 3.07 (3.07) Acct: 4.96 (4.96) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-27 01:45:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:57 tlr: 0.00021 tnm: 0.31 Lm: 6.675 (6.675) Lt: 5.911 (5.911) Accm: 3.02 (3.02) Acct: 4.76 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-27 01:45:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 417/1669] eta: 0:07:56 tlr: 0.00021 tnm: 0.31 Lm: 6.706 (6.706) Lt: 5.939 (5.939) Accm: 2.94 (2.94) Acct: 4.71 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-27 01:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.29 Lm: 6.746 (6.719) Lt: 6.020 (5.967) Accm: 2.75 (2.87) Acct: 4.20 (4.54) proj_loss: 0.0000 (0.0000) time: 0.4377 data: 0.0002
[11-27 01:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.29 Lm: 6.731 (6.694) Lt: 5.952 (5.947) Accm: 2.93 (2.95) Acct: 4.58 (4.70) proj_loss: 0.0000 (0.0000) time: 0.4377 data: 0.0002
[11-27 01:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.29 Lm: 6.695 (6.652) Lt: 5.931 (5.885) Accm: 2.84 (2.98) Acct: 4.70 (4.80) proj_loss: 0.0000 (0.0000) time: 0.4377 data: 0.0003
[11-27 01:47:58] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [ 834/1669] eta: 0:05:26 tlr: 0.00021 tnm: 0.29 Lm: 6.791 (6.795) Lt: 6.058 (6.074) Accm: 2.62 (2.67) Acct: 4.27 (4.30) proj_loss: 0.0000 (0.0000) time: 0.4377 data: 0.0002
[11-27 01:51:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.34 Lm: 6.811 (6.804) Lt: 6.047 (6.064) Accm: 2.60 (2.65) Acct: 4.36 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-27 01:51:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.34 Lm: 6.688 (6.681) Lt: 5.923 (5.933) Accm: 2.98 (2.97) Acct: 4.78 (4.78) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-27 01:51:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.34 Lm: 6.735 (6.721) Lt: 6.012 (5.976) Accm: 2.74 (2.84) Acct: 4.49 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-27 01:51:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1251/1669] eta: 0:02:51 tlr: 0.00021 tnm: 0.34 Lm: 6.703 (6.667) Lt: 5.965 (5.914) Accm: 2.84 (2.94) Acct: 4.60 (4.72) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-27 01:53:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.695 (6.669) Lt: 5.999 (5.934) Accm: 2.83 (2.91) Acct: 4.49 (4.62) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0017
[11-27 01:53:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:11:13 (0.404 s / it)
[11-27 01:53:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.731 (6.693) Lt: 5.952 (5.945) Accm: 2.94 (2.96) Acct: 4.96 (4.81) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0014
[11-27 01:53:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.791 (6.794) Lt: 6.037 (6.049) Accm: 2.58 (2.61) Acct: 4.27 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0016
[11-27 01:53:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 71/350] [1668/1669] eta: 0:00:00 tlr: 0.00021 tnm: 0.33 Lm: 6.724 (6.721) Lt: 6.003 (5.981) Accm: 2.73 (2.80) Acct: 4.20 (4.47) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0016
[11-27 01:53:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:11:13 (0.404 s / it)
[11-27 01:53:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:11:13 (0.404 s / it)
[11-27 01:53:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 71/350] Total time: 0:11:13 (0.404 s / it)
[11-27 01:53:45] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.733 (6.733), Lt: 6.003 (6.003), Acc m&t: 2.80 4.45, Remain: 2 days, 1:27:21, Finish: 2024-11-28 11:21
[11-27 01:53:45] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.733 (6.733), Lt: 6.003 (6.003), Acc m&t: 2.80 4.45, Remain: 2 days, 1:26:58, Finish: 2024-11-28 11:20
[11-27 01:53:45] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.733 (6.733), Lt: 6.003 (6.003), Acc m&t: 2.80 4.45, Remain: 2 days, 1:27:00, Finish: 2024-11-28 11:20
[11-27 01:53:45] (/home/user/VAR/train.py , line 276)=> [ep71] (training ) Lm: 6.733 (6.733), Lt: 6.003 (6.003), Acc m&t: 2.80 4.45, Remain: 2 days, 1:27:33, Finish: 2024-11-28 11:21
[11-27 01:53:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:10:33 tlr: 0.00021 tnm: 0.33 Lm: 6.646 (6.646) Lt: 5.895 (5.895) Accm: 3.06 (3.06) Acct: 4.70 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3793 data: 0.0004
[11-27 01:53:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:10:33 tlr: 0.00021 tnm: 0.33 Lm: 6.711 (6.711) Lt: 6.016 (6.016) Accm: 2.69 (2.69) Acct: 3.94 (3.94) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0004
[11-27 01:53:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.33 Lm: 6.709 (6.709) Lt: 5.944 (5.944) Accm: 2.79 (2.79) Acct: 4.29 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0004
[11-27 01:53:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 0/1669] eta: 0:10:34 tlr: 0.00021 tnm: 0.33 Lm: 6.578 (6.578) Lt: 5.822 (5.822) Accm: 3.13 (3.13) Acct: 5.04 (5.04) proj_loss: 0.0000 (0.0000) time: 0.3800 data: 0.0004
[11-27 01:56:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.32 Lm: 6.705 (6.705) Lt: 5.991 (5.991) Accm: 2.81 (2.81) Acct: 4.49 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 01:56:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.32 Lm: 6.727 (6.727) Lt: 6.019 (6.019) Accm: 2.74 (2.74) Acct: 4.21 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 01:56:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.32 Lm: 6.686 (6.686) Lt: 5.930 (5.930) Accm: 3.02 (3.02) Acct: 4.66 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 01:56:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.32 Lm: 6.748 (6.748) Lt: 5.987 (5.987) Accm: 2.81 (2.81) Acct: 4.46 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 01:59:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.36 Lm: 6.787 (6.768) Lt: 6.030 (6.034) Accm: 2.79 (2.72) Acct: 4.29 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0003
[11-27 01:59:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.36 Lm: 6.744 (6.770) Lt: 6.022 (6.072) Accm: 2.69 (2.67) Acct: 3.94 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0003
[11-27 01:59:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.36 Lm: 6.832 (6.759) Lt: 6.160 (6.060) Accm: 2.49 (2.67) Acct: 3.93 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 01:59:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.36 Lm: 6.726 (6.751) Lt: 5.964 (6.027) Accm: 2.98 (2.73) Acct: 4.61 (4.23) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 02:01:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.752 (6.758) Lt: 6.032 (6.045) Accm: 2.85 (2.72) Acct: 4.32 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 02:01:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.749 (6.736) Lt: 6.067 (6.038) Accm: 2.74 (2.75) Acct: 4.19 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 02:01:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.748 (6.727) Lt: 5.987 (5.984) Accm: 2.81 (2.86) Acct: 4.46 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 02:01:43] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.729 (6.756) Lt: 6.019 (6.047) Accm: 2.73 (2.70) Acct: 4.19 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 02:04:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.714 (6.739) Lt: 6.016 (6.024) Accm: 2.78 (2.77) Acct: 4.44 (4.36) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0017
[11-27 02:04:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:36 (0.381 s / it)
[11-27 02:04:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.779 (6.744) Lt: 6.035 (6.038) Accm: 2.68 (2.74) Acct: 4.05 (4.23) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0017
[11-27 02:04:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.709 (6.712) Lt: 5.944 (5.967) Accm: 2.83 (2.95) Acct: 4.63 (4.69) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0019
[11-27 02:04:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 72/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.726 (6.745) Lt: 5.964 (6.023) Accm: 2.96 (2.77) Acct: 4.61 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0017
[11-27 02:04:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:36 (0.381 s / it)
[11-27 02:04:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:36 (0.381 s / it)
[11-27 02:04:21] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 72/350] Total time: 0:10:36 (0.381 s / it)
[11-27 02:04:21] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.733 (6.741), Lt: 6.003 (6.015), Acc m&t: 2.80 4.45, Remain: 2 days, 1:23:43, Finish: 2024-11-28 11:28
[11-27 02:04:21] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.733 (6.741), Lt: 6.003 (6.015), Acc m&t: 2.80 4.45, Remain: 2 days, 1:24:26, Finish: 2024-11-28 11:28
[11-27 02:04:21] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.733 (6.741), Lt: 6.003 (6.015), Acc m&t: 2.80 4.45, Remain: 2 days, 1:23:09, Finish: 2024-11-28 11:27
[11-27 02:04:21] (/home/user/VAR/train.py , line 276)=> [ep72] (training ) Lm: 6.733 (6.741), Lt: 6.003 (6.015), Acc m&t: 2.80 4.45, Remain: 2 days, 1:26:07, Finish: 2024-11-28 11:30
[11-27 02:04:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:10:27 tlr: 0.0002 tnm: 0.32 Lm: 6.623 (6.623) Lt: 5.918 (5.918) Accm: 3.02 (3.02) Acct: 4.61 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3762 data: 0.0003
[11-27 02:04:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:10:27 tlr: 0.0002 tnm: 0.32 Lm: 6.931 (6.931) Lt: 6.217 (6.217) Accm: 2.34 (2.34) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3761 data: 0.0004
[11-27 02:04:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.32 Lm: 6.811 (6.811) Lt: 6.087 (6.087) Accm: 2.70 (2.70) Acct: 4.39 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3756 data: 0.0004
[11-27 02:04:22] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 0/1669] eta: 0:10:27 tlr: 0.0002 tnm: 0.32 Lm: 6.519 (6.519) Lt: 5.718 (5.718) Accm: 3.07 (3.07) Acct: 5.11 (5.11) proj_loss: 0.0000 (0.0000) time: 0.3760 data: 0.0004
[11-27 02:07:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.32 Lm: 6.633 (6.633) Lt: 5.876 (5.876) Accm: 3.02 (3.02) Acct: 4.92 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 02:07:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.32 Lm: 6.762 (6.762) Lt: 5.989 (5.989) Accm: 2.71 (2.71) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 02:07:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.32 Lm: 6.664 (6.664) Lt: 5.923 (5.923) Accm: 3.11 (3.11) Acct: 4.98 (4.98) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 02:07:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.32 Lm: 6.724 (6.724) Lt: 6.006 (6.006) Accm: 2.86 (2.86) Acct: 4.37 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 02:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:17 tlr: 0.0002 tnm: 0.33 Lm: 6.824 (6.767) Lt: 6.093 (6.063) Accm: 2.71 (2.74) Acct: 4.13 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-27 02:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:17 tlr: 0.0002 tnm: 0.33 Lm: 6.725 (6.749) Lt: 6.022 (6.000) Accm: 2.99 (2.80) Acct: 4.75 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-27 02:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:17 tlr: 0.0002 tnm: 0.33 Lm: 6.700 (6.676) Lt: 5.989 (5.945) Accm: 2.91 (3.04) Acct: 4.79 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-27 02:09:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [ 834/1669] eta: 0:05:17 tlr: 0.0002 tnm: 0.33 Lm: 6.626 (6.631) Lt: 5.960 (5.904) Accm: 2.96 (3.00) Acct: 4.73 (4.79) proj_loss: 0.0000 (0.0000) time: 0.3801 data: 0.0002
[11-27 02:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.664 (6.648) Lt: 5.956 (5.916) Accm: 2.96 (2.92) Acct: 4.63 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0003
[11-27 02:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.787 (6.774) Lt: 6.068 (6.029) Accm: 2.81 (2.76) Acct: 4.36 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0003
[11-27 02:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.756 (6.754) Lt: 6.038 (6.053) Accm: 2.80 (2.83) Acct: 4.59 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0002
[11-27 02:12:18] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.839 (6.790) Lt: 6.104 (6.076) Accm: 2.60 (2.67) Acct: 4.09 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0002
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.824 (6.778) Lt: 6.093 (6.055) Accm: 2.71 (2.72) Acct: 4.13 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0017
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:35 (0.381 s / it)
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.850 (6.802) Lt: 6.114 (6.066) Accm: 2.64 (2.68) Acct: 3.98 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0016
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.702 (6.667) Lt: 5.960 (5.936) Accm: 2.96 (2.86) Acct: 4.53 (4.59) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0016
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 73/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.700 (6.724) Lt: 5.989 (6.001) Accm: 2.72 (2.81) Acct: 4.56 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0021
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:35 (0.381 s / it)
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:35 (0.381 s / it)
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 73/350] Total time: 0:10:35 (0.381 s / it)
[11-27 02:14:57] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.733 (6.734), Lt: 6.003 (6.007), Acc m&t: 2.80 4.45, Remain: 2 days, 1:09:19, Finish: 2024-11-28 11:24
[11-27 02:14:57] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.733 (6.734), Lt: 6.003 (6.007), Acc m&t: 2.80 4.45, Remain: 2 days, 1:09:44, Finish: 2024-11-28 11:24
[11-27 02:14:57] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.733 (6.734), Lt: 6.003 (6.007), Acc m&t: 2.80 4.45, Remain: 2 days, 1:09:02, Finish: 2024-11-28 11:23
[11-27 02:14:57] (/home/user/VAR/train.py , line 276)=> [ep73] (training ) Lm: 6.733 (6.734), Lt: 6.003 (6.007), Acc m&t: 2.80 4.45, Remain: 2 days, 1:08:19, Finish: 2024-11-28 11:23
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:10:28 tlr: 0.0002 tnm: 0.33 Lm: 6.670 (6.670) Lt: 5.908 (5.908) Accm: 2.87 (2.87) Acct: 4.61 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3765 data: 0.0003
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.33 Lm: 6.809 (6.809) Lt: 6.093 (6.093) Accm: 2.81 (2.81) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3757 data: 0.0003
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:10:28 tlr: 0.0002 tnm: 0.33 Lm: 6.670 (6.670) Lt: 5.919 (5.919) Accm: 2.84 (2.84) Acct: 4.03 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0003
[11-27 02:14:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 0/1669] eta: 0:10:28 tlr: 0.0002 tnm: 0.33 Lm: 6.783 (6.783) Lt: 6.084 (6.084) Accm: 2.69 (2.69) Acct: 4.37 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3764 data: 0.0004
[11-27 02:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.32 Lm: 6.755 (6.755) Lt: 6.036 (6.036) Accm: 2.80 (2.80) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 02:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.32 Lm: 6.662 (6.662) Lt: 5.901 (5.901) Accm: 3.01 (3.01) Acct: 4.93 (4.93) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 02:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.32 Lm: 6.790 (6.790) Lt: 6.073 (6.073) Accm: 2.70 (2.70) Acct: 4.15 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3812 data: 0.0002
[11-27 02:17:36] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.32 Lm: 6.732 (6.732) Lt: 5.981 (5.981) Accm: 2.75 (2.75) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3813 data: 0.0003
[11-27 02:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:24 tlr: 0.0002 tnm: 0.33 Lm: 6.782 (6.749) Lt: 6.043 (6.007) Accm: 2.67 (2.69) Acct: 4.03 (4.00) proj_loss: 0.0000 (0.0000) time: 0.5312 data: 0.0002
[11-27 02:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:24 tlr: 0.0002 tnm: 0.33 Lm: 6.771 (6.768) Lt: 6.053 (6.036) Accm: 2.81 (2.76) Acct: 4.20 (4.26) proj_loss: 0.0000 (0.0000) time: 0.5312 data: 0.0002
[11-27 02:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:24 tlr: 0.0002 tnm: 0.33 Lm: 6.783 (6.765) Lt: 6.084 (6.058) Accm: 2.77 (2.79) Acct: 4.37 (4.34) proj_loss: 0.0000 (0.0000) time: 0.5312 data: 0.0002
[11-27 02:20:21] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [ 834/1669] eta: 0:05:24 tlr: 0.0002 tnm: 0.33 Lm: 6.670 (6.685) Lt: 5.908 (5.934) Accm: 2.87 (2.95) Acct: 4.61 (4.76) proj_loss: 0.0000 (0.0000) time: 0.5312 data: 0.0002
[11-27 02:23:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:52 tlr: 0.0002 tnm: 0.31 Lm: 6.673 (6.683) Lt: 5.908 (5.928) Accm: 2.91 (2.95) Acct: 4.64 (4.74) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 02:23:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:52 tlr: 0.0002 tnm: 0.31 Lm: 6.748 (6.736) Lt: 6.007 (6.002) Accm: 2.84 (2.82) Acct: 4.35 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 02:23:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:52 tlr: 0.0002 tnm: 0.31 Lm: 6.765 (6.748) Lt: 6.039 (6.013) Accm: 2.74 (2.72) Acct: 4.12 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 02:23:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1251/1669] eta: 0:02:52 tlr: 0.0002 tnm: 0.31 Lm: 6.764 (6.760) Lt: 6.046 (6.045) Accm: 2.73 (2.75) Acct: 4.30 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0002
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.745 (6.749) Lt: 6.007 (6.033) Accm: 2.77 (2.78) Acct: 4.37 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0015
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:11:16 (0.405 s / it)
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.745 (6.738) Lt: 6.000 (6.002) Accm: 2.81 (2.79) Acct: 4.32 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0017
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.675 (6.696) Lt: 5.908 (5.938) Accm: 2.87 (2.88) Acct: 4.61 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0015
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 74/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.782 (6.770) Lt: 6.043 (6.042) Accm: 2.67 (2.69) Acct: 4.05 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0021
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:11:16 (0.405 s / it)
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:11:16 (0.405 s / it)
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 74/350] Total time: 0:11:16 (0.405 s / it)
[11-27 02:26:14] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.733 (6.741), Lt: 6.003 (6.015), Acc m&t: 2.80 4.45, Remain: 2 days, 1:00:28, Finish: 2024-11-28 11:26
[11-27 02:26:14] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.733 (6.741), Lt: 6.003 (6.015), Acc m&t: 2.80 4.45, Remain: 2 days, 1:01:35, Finish: 2024-11-28 11:27
[11-27 02:26:14] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.733 (6.741), Lt: 6.003 (6.015), Acc m&t: 2.80 4.45, Remain: 2 days, 1:00:48, Finish: 2024-11-28 11:27
[11-27 02:26:14] (/home/user/VAR/train.py , line 276)=> [ep74] (training ) Lm: 6.733 (6.741), Lt: 6.003 (6.015), Acc m&t: 2.80 4.45, Remain: 2 days, 1:01:13, Finish: 2024-11-28 11:27
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:10:10 tlr: 0.0002 tnm: 0.32 Lm: 6.817 (6.817) Lt: 6.100 (6.100) Accm: 2.32 (2.32) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3660 data: 0.0003
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.32 Lm: 6.619 (6.619) Lt: 5.908 (5.908) Accm: 3.11 (3.11) Acct: 4.94 (4.94) proj_loss: 0.0000 (0.0000) time: 0.3661 data: 0.0004
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:10:10 tlr: 0.0002 tnm: 0.32 Lm: 6.762 (6.762) Lt: 6.063 (6.063) Accm: 2.86 (2.86) Acct: 4.42 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3659 data: 0.0004
[11-27 02:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 0/1669] eta: 0:10:11 tlr: 0.0002 tnm: 0.32 Lm: 6.616 (6.616) Lt: 5.783 (5.783) Accm: 3.18 (3.18) Acct: 5.48 (5.48) proj_loss: 0.0000 (0.0000) time: 0.3665 data: 0.0004
[11-27 02:28:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:08:01 tlr: 0.0002 tnm: 0.32 Lm: 6.661 (6.661) Lt: 5.885 (5.885) Accm: 2.94 (2.94) Acct: 4.91 (4.91) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-27 02:28:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:08:01 tlr: 0.0002 tnm: 0.32 Lm: 6.703 (6.703) Lt: 5.994 (5.994) Accm: 2.94 (2.94) Acct: 4.64 (4.64) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-27 02:28:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:08:01 tlr: 0.0002 tnm: 0.32 Lm: 6.778 (6.778) Lt: 6.091 (6.091) Accm: 2.84 (2.84) Acct: 4.45 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-27 02:28:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 417/1669] eta: 0:08:01 tlr: 0.0002 tnm: 0.32 Lm: 6.697 (6.697) Lt: 5.960 (5.960) Accm: 2.78 (2.78) Acct: 4.44 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-27 02:31:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.29 Lm: 6.723 (6.706) Lt: 5.995 (5.971) Accm: 2.84 (2.80) Acct: 4.49 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-27 02:31:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.29 Lm: 6.705 (6.693) Lt: 5.986 (5.939) Accm: 2.70 (2.82) Acct: 4.34 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-27 02:31:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.29 Lm: 6.774 (6.727) Lt: 6.047 (6.012) Accm: 2.76 (2.83) Acct: 4.34 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-27 02:31:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.29 Lm: 6.762 (6.749) Lt: 6.063 (6.040) Accm: 2.83 (2.83) Acct: 4.44 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3809 data: 0.0002
[11-27 02:34:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.35 Lm: 6.778 (6.807) Lt: 6.091 (6.100) Accm: 2.82 (2.69) Acct: 4.43 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 02:34:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.35 Lm: 6.727 (6.715) Lt: 5.984 (5.989) Accm: 2.84 (2.86) Acct: 4.54 (4.47) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0003
[11-27 02:34:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.35 Lm: 6.704 (6.700) Lt: 5.946 (5.953) Accm: 2.99 (2.88) Acct: 4.73 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 02:34:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.35 Lm: 6.731 (6.735) Lt: 6.016 (5.988) Accm: 2.64 (2.72) Acct: 4.27 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0003
[11-27 02:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.681 (6.695) Lt: 5.921 (5.961) Accm: 2.93 (2.94) Acct: 4.73 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0021
[11-27 02:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.794 (6.815) Lt: 6.118 (6.104) Accm: 2.80 (2.68) Acct: 4.42 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0016
[11-27 02:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.723 (6.727) Lt: 5.995 (5.981) Accm: 2.84 (2.87) Acct: 4.49 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0015
[11-27 02:36:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 75/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.744 (6.737) Lt: 6.008 (5.992) Accm: 2.70 (2.72) Acct: 4.34 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3829 data: 0.0016
[11-27 02:36:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:37 (0.382 s / it)
[11-27 02:36:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:37 (0.382 s / it)
[11-27 02:36:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:37 (0.382 s / it)
[11-27 02:36:51] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 75/350] Total time: 0:10:37 (0.382 s / it)
[11-27 02:36:51] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.733 (6.742), Lt: 6.003 (6.011), Acc m&t: 2.80 4.45, Remain: 2 days, 0:42:56, Finish: 2024-11-28 11:19
[11-27 02:36:51] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.733 (6.742), Lt: 6.003 (6.011), Acc m&t: 2.80 4.45, Remain: 2 days, 0:42:48, Finish: 2024-11-28 11:19
[11-27 02:36:51] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.733 (6.742), Lt: 6.003 (6.011), Acc m&t: 2.80 4.45, Remain: 2 days, 0:43:10, Finish: 2024-11-28 11:20
[11-27 02:36:51] (/home/user/VAR/train.py , line 276)=> [ep75] (training ) Lm: 6.733 (6.742), Lt: 6.003 (6.011), Acc m&t: 2.80 4.45, Remain: 2 days, 0:43:13, Finish: 2024-11-28 11:20
[11-27 02:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:10:31 tlr: 0.0002 tnm: 0.33 Lm: 6.764 (6.764) Lt: 6.047 (6.047) Accm: 2.60 (2.60) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3784 data: 0.0004
[11-27 02:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:10:31 tlr: 0.0002 tnm: 0.33 Lm: 6.620 (6.620) Lt: 5.885 (5.885) Accm: 3.27 (3.27) Acct: 5.11 (5.11) proj_loss: 0.0000 (0.0000) time: 0.3785 data: 0.0004
[11-27 02:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:10:31 tlr: 0.0002 tnm: 0.33 Lm: 6.912 (6.912) Lt: 6.242 (6.242) Accm: 2.21 (2.21) Acct: 3.53 (3.53) proj_loss: 0.0000 (0.0000) time: 0.3786 data: 0.0004
[11-27 02:36:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 0/1669] eta: 0:21:43 tlr: 0.0002 tnm: 0.33 Lm: 6.750 (6.750) Lt: 6.026 (6.026) Accm: 2.50 (2.50) Acct: 3.94 (3.94) proj_loss: 0.0000 (0.0000) time: 0.7811 data: 0.0003
[11-27 02:39:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:58 tlr: 0.0002 tnm: 0.35 Lm: 6.676 (6.676) Lt: 5.923 (5.923) Accm: 2.81 (2.81) Acct: 4.38 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 02:39:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.35 Lm: 6.597 (6.597) Lt: 5.858 (5.858) Accm: 3.13 (3.13) Acct: 5.00 (5.00) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 02:39:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.35 Lm: 6.661 (6.661) Lt: 5.930 (5.930) Accm: 2.95 (2.95) Acct: 4.63 (4.63) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 02:39:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.35 Lm: 6.841 (6.841) Lt: 6.109 (6.109) Accm: 2.48 (2.48) Acct: 4.10 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 02:42:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.31 Lm: 6.769 (6.792) Lt: 5.976 (6.055) Accm: 2.75 (2.62) Acct: 4.67 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-27 02:42:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.31 Lm: 6.573 (6.578) Lt: 5.830 (5.838) Accm: 3.27 (3.18) Acct: 5.11 (5.07) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-27 02:42:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.31 Lm: 6.750 (6.724) Lt: 6.026 (5.979) Accm: 2.50 (2.67) Acct: 3.94 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-27 02:42:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.31 Lm: 6.636 (6.653) Lt: 5.946 (5.935) Accm: 3.29 (3.07) Acct: 4.84 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-27 02:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.645 (6.653) Lt: 5.934 (5.932) Accm: 3.14 (3.05) Acct: 4.88 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 02:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.784 (6.766) Lt: 6.058 (6.036) Accm: 2.45 (2.58) Acct: 3.91 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0003
[11-27 02:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.597 (6.628) Lt: 5.858 (5.881) Accm: 3.13 (3.03) Acct: 5.00 (4.82) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 02:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.733 (6.768) Lt: 5.976 (6.035) Accm: 2.82 (2.71) Acct: 4.68 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.769 (6.771) Lt: 5.976 (6.052) Accm: 2.75 (2.66) Acct: 4.67 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0021
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:35 (0.381 s / it)
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.620 (6.654) Lt: 5.885 (5.911) Accm: 2.99 (2.94) Acct: 4.89 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0019
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.654 (6.678) Lt: 5.946 (5.953) Accm: 2.99 (2.97) Acct: 4.84 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0017
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 76/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.782 (6.769) Lt: 6.071 (6.043) Accm: 2.43 (2.55) Acct: 3.94 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0018
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:35 (0.381 s / it)
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:35 (0.381 s / it)
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 76/350] Total time: 0:10:36 (0.381 s / it)
[11-27 02:47:31] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.730 (6.730), Lt: 5.999 (5.999), Acc m&t: 2.80 4.45, Remain: 2 days, 0:40:38, Finish: 2024-11-28 11:28
[11-27 02:47:31] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.730 (6.730), Lt: 5.999 (5.999), Acc m&t: 2.80 4.45, Remain: 2 days, 0:40:28, Finish: 2024-11-28 11:27
[11-27 02:47:31] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.730 (6.730), Lt: 5.999 (5.999), Acc m&t: 2.80 4.45, Remain: 2 days, 0:41:14, Finish: 2024-11-28 11:28
[11-27 02:47:31] (/home/user/VAR/train.py , line 276)=> [ep76] (training ) Lm: 6.730 (6.730), Lt: 5.999 (5.999), Acc m&t: 2.80 4.45, Remain: 2 days, 0:39:40, Finish: 2024-11-28 11:27
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:10:27 tlr: 0.0002 tnm: 0.32 Lm: 6.727 (6.727) Lt: 6.013 (6.013) Accm: 2.70 (2.70) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3762 data: 0.0003
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:10:27 tlr: 0.0002 tnm: 0.32 Lm: 6.725 (6.725) Lt: 5.967 (5.967) Accm: 3.03 (3.03) Acct: 4.87 (4.87) proj_loss: 0.0000 (0.0000) time: 0.3762 data: 0.0004
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:10:29 tlr: 0.0002 tnm: 0.32 Lm: 6.794 (6.794) Lt: 6.038 (6.038) Accm: 2.57 (2.57) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3769 data: 0.0004
[11-27 02:47:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 0/1669] eta: 0:10:29 tlr: 0.0002 tnm: 0.32 Lm: 6.860 (6.860) Lt: 6.181 (6.181) Accm: 2.52 (2.52) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3770 data: 0.0004
[11-27 02:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.31 Lm: 6.779 (6.779) Lt: 6.072 (6.072) Accm: 2.77 (2.77) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 02:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.31 Lm: 6.748 (6.748) Lt: 6.001 (6.001) Accm: 2.91 (2.91) Acct: 4.67 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 02:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.31 Lm: 6.785 (6.785) Lt: 6.080 (6.080) Accm: 2.52 (2.52) Acct: 4.00 (4.00) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 02:50:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.31 Lm: 6.769 (6.769) Lt: 6.027 (6.027) Accm: 2.65 (2.65) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 02:52:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.35 Lm: 6.755 (6.764) Lt: 6.030 (6.028) Accm: 2.57 (2.60) Acct: 4.20 (4.04) proj_loss: 0.0000 (0.0000) time: 0.4325 data: 0.0002
[11-27 02:52:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.35 Lm: 6.698 (6.707) Lt: 5.964 (5.971) Accm: 3.02 (2.92) Acct: 4.94 (4.69) proj_loss: 0.0000 (0.0000) time: 0.4325 data: 0.0002
[11-27 02:52:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.35 Lm: 6.727 (6.729) Lt: 6.013 (6.015) Accm: 2.70 (2.66) Acct: 4.24 (4.13) proj_loss: 0.0000 (0.0000) time: 0.4325 data: 0.0002
[11-27 02:52:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.35 Lm: 6.746 (6.747) Lt: 6.018 (6.006) Accm: 2.90 (2.90) Acct: 4.58 (4.64) proj_loss: 0.0000 (0.0000) time: 0.4325 data: 0.0002
[11-27 02:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:52 tlr: 0.0002 tnm: 0.33 Lm: 6.746 (6.747) Lt: 6.026 (6.022) Accm: 2.84 (2.84) Acct: 4.53 (4.50) proj_loss: 0.0000 (0.0000) time: 0.4356 data: 0.0002
[11-27 02:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:52 tlr: 0.0002 tnm: 0.33 Lm: 6.690 (6.701) Lt: 5.961 (5.967) Accm: 3.03 (2.95) Acct: 4.98 (4.80) proj_loss: 0.0000 (0.0000) time: 0.4356 data: 0.0002
[11-27 02:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:52 tlr: 0.0002 tnm: 0.33 Lm: 6.749 (6.753) Lt: 6.023 (6.024) Accm: 2.65 (2.64) Acct: 4.14 (4.05) proj_loss: 0.0000 (0.0000) time: 0.4356 data: 0.0002
[11-27 02:56:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1251/1669] eta: 0:02:52 tlr: 0.0002 tnm: 0.33 Lm: 6.671 (6.678) Lt: 5.949 (5.944) Accm: 2.82 (2.82) Acct: 4.31 (4.44) proj_loss: 0.0000 (0.0000) time: 0.4356 data: 0.0002
[11-27 02:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.672 (6.677) Lt: 5.929 (5.941) Accm: 2.94 (2.85) Acct: 4.39 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0018
[11-27 02:58:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:11:14 (0.404 s / it)
[11-27 02:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.745 (6.743) Lt: 6.018 (6.007) Accm: 2.78 (2.81) Acct: 4.56 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0017
[11-27 02:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.744 (6.725) Lt: 6.016 (5.992) Accm: 2.73 (2.71) Acct: 4.20 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0018
[11-27 02:58:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 77/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.698 (6.704) Lt: 5.957 (5.964) Accm: 3.02 (2.91) Acct: 4.94 (4.75) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0021
[11-27 02:58:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:11:14 (0.404 s / it)
[11-27 02:58:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:11:14 (0.404 s / it)
[11-27 02:58:45] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 77/350] Total time: 0:11:14 (0.404 s / it)
[11-27 02:58:45] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.730 (6.730), Lt: 5.999 (6.002), Acc m&t: 2.80 4.45, Remain: 2 days, 0:31:13, Finish: 2024-11-28 11:29
[11-27 02:58:45] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.730 (6.730), Lt: 5.999 (6.002), Acc m&t: 2.80 4.45, Remain: 2 days, 0:31:58, Finish: 2024-11-28 11:30
[11-27 02:58:45] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.730 (6.730), Lt: 5.999 (6.002), Acc m&t: 2.80 4.45, Remain: 2 days, 0:31:24, Finish: 2024-11-28 11:30
[11-27 02:58:45] (/home/user/VAR/train.py , line 276)=> [ep77] (training ) Lm: 6.730 (6.730), Lt: 5.999 (6.002), Acc m&t: 2.80 4.45, Remain: 2 days, 0:32:01, Finish: 2024-11-28 11:30
[11-27 02:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:10:30 tlr: 0.0002 tnm: 0.33 Lm: 6.659 (6.659) Lt: 5.880 (5.880) Accm: 3.12 (3.12) Acct: 5.04 (5.04) proj_loss: 0.0000 (0.0000) time: 0.3780 data: 0.0004
[11-27 02:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:10:29 tlr: 0.0002 tnm: 0.33 Lm: 6.747 (6.747) Lt: 5.990 (5.990) Accm: 3.02 (3.02) Acct: 4.79 (4.79) proj_loss: 0.0000 (0.0000) time: 0.3772 data: 0.0004
[11-27 02:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:10:21 tlr: 0.0002 tnm: 0.33 Lm: 6.812 (6.812) Lt: 6.047 (6.047) Accm: 2.67 (2.67) Acct: 4.46 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3725 data: 0.0004
[11-27 02:58:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 0/1669] eta: 0:10:30 tlr: 0.0002 tnm: 0.33 Lm: 6.739 (6.739) Lt: 5.998 (5.998) Accm: 2.86 (2.86) Acct: 4.56 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3779 data: 0.0003
[11-27 03:01:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.34 Lm: 6.744 (6.744) Lt: 6.010 (6.010) Accm: 2.81 (2.81) Acct: 4.54 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-27 03:01:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.34 Lm: 6.735 (6.735) Lt: 5.984 (5.984) Accm: 2.84 (2.84) Acct: 4.66 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 03:01:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.34 Lm: 6.720 (6.720) Lt: 5.960 (5.960) Accm: 2.84 (2.84) Acct: 4.65 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3805 data: 0.0002
[11-27 03:01:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.34 Lm: 6.671 (6.671) Lt: 5.923 (5.923) Accm: 3.13 (3.13) Acct: 4.92 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0002
[11-27 03:04:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.36 Lm: 6.692 (6.678) Lt: 5.973 (5.940) Accm: 3.02 (3.02) Acct: 4.79 (4.75) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 03:04:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.36 Lm: 6.729 (6.723) Lt: 6.039 (5.986) Accm: 2.56 (2.72) Acct: 4.25 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 03:04:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.36 Lm: 6.748 (6.783) Lt: 6.021 (6.051) Accm: 2.76 (2.66) Acct: 4.51 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 03:04:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.36 Lm: 6.657 (6.707) Lt: 5.920 (5.950) Accm: 3.01 (2.94) Acct: 4.86 (4.73) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 03:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.31 Lm: 6.694 (6.713) Lt: 5.984 (5.979) Accm: 2.84 (2.84) Acct: 4.66 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-27 03:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.31 Lm: 6.716 (6.694) Lt: 5.981 (5.959) Accm: 3.07 (3.05) Acct: 4.90 (4.82) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-27 03:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.31 Lm: 6.789 (6.795) Lt: 6.075 (6.070) Accm: 2.56 (2.58) Acct: 4.10 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3797 data: 0.0002
[11-27 03:06:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.31 Lm: 6.718 (6.719) Lt: 6.037 (5.998) Accm: 2.80 (2.80) Acct: 4.52 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3796 data: 0.0002
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.729 (6.724) Lt: 6.036 (5.989) Accm: 2.64 (2.77) Acct: 4.25 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0018
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:37 (0.382 s / it)
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.798 (6.795) Lt: 6.128 (6.089) Accm: 2.56 (2.58) Acct: 3.98 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0015
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.714 (6.713) Lt: 5.987 (5.981) Accm: 2.70 (2.81) Acct: 4.46 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0015
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 78/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.692 (6.689) Lt: 5.973 (5.956) Accm: 3.02 (3.01) Acct: 4.79 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0019
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:37 (0.382 s / it)
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:37 (0.382 s / it)
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 78/350] Total time: 0:10:37 (0.382 s / it)
[11-27 03:09:23] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.730 (6.735), Lt: 5.999 (6.005), Acc m&t: 2.80 4.45, Remain: 2 days, 0:21:47, Finish: 2024-11-28 11:31
[11-27 03:09:23] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.730 (6.735), Lt: 5.999 (6.005), Acc m&t: 2.80 4.45, Remain: 2 days, 0:21:29, Finish: 2024-11-28 11:30
[11-27 03:09:23] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.730 (6.735), Lt: 5.999 (6.005), Acc m&t: 2.80 4.45, Remain: 2 days, 0:21:35, Finish: 2024-11-28 11:30
[11-27 03:09:23] (/home/user/VAR/train.py , line 276)=> [ep78] (training ) Lm: 6.730 (6.735), Lt: 5.999 (6.005), Acc m&t: 2.80 4.45, Remain: 2 days, 0:19:50, Finish: 2024-11-28 11:29
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.32 Lm: 6.845 (6.845) Lt: 6.135 (6.135) Accm: 2.31 (2.31) Acct: 3.50 (3.50) proj_loss: 0.0000 (0.0000) time: 0.3752 data: 0.0003
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:10:29 tlr: 0.0002 tnm: 0.32 Lm: 6.677 (6.677) Lt: 5.972 (5.972) Accm: 2.99 (2.99) Acct: 4.63 (4.63) proj_loss: 0.0000 (0.0000) time: 0.3774 data: 0.0003
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:10:31 tlr: 0.0002 tnm: 0.32 Lm: 6.901 (6.901) Lt: 6.188 (6.188) Accm: 2.32 (2.32) Acct: 3.70 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3781 data: 0.0004
[11-27 03:09:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 0/1669] eta: 0:10:31 tlr: 0.0002 tnm: 0.32 Lm: 6.678 (6.678) Lt: 5.904 (5.904) Accm: 2.97 (2.97) Acct: 4.91 (4.91) proj_loss: 0.0000 (0.0000) time: 0.3781 data: 0.0003
[11-27 03:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.37 Lm: 6.710 (6.710) Lt: 5.973 (5.973) Accm: 2.95 (2.95) Acct: 4.86 (4.86) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 03:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.37 Lm: 6.820 (6.820) Lt: 6.110 (6.110) Accm: 2.49 (2.49) Acct: 3.85 (3.85) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 03:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.37 Lm: 6.838 (6.838) Lt: 6.126 (6.126) Accm: 2.48 (2.48) Acct: 3.93 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 03:12:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.37 Lm: 6.683 (6.683) Lt: 5.952 (5.952) Accm: 2.90 (2.90) Acct: 4.60 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0003
[11-27 03:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.33 Lm: 6.688 (6.687) Lt: 5.931 (5.936) Accm: 2.80 (2.81) Acct: 4.56 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-27 03:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.33 Lm: 6.774 (6.813) Lt: 6.065 (6.099) Accm: 2.65 (2.56) Acct: 4.15 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-27 03:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.33 Lm: 6.727 (6.716) Lt: 6.024 (5.990) Accm: 2.94 (2.92) Acct: 4.82 (4.72) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-27 03:14:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.33 Lm: 6.795 (6.810) Lt: 6.110 (6.110) Accm: 2.67 (2.59) Acct: 4.20 (3.97) proj_loss: 0.0000 (0.0000) time: 0.3815 data: 0.0002
[11-27 03:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.792 (6.777) Lt: 6.097 (6.065) Accm: 2.73 (2.72) Acct: 4.21 (4.22) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 03:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.801 (6.817) Lt: 6.117 (6.117) Accm: 2.69 (2.68) Acct: 4.30 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0003
[11-27 03:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.735 (6.734) Lt: 6.033 (6.005) Accm: 2.90 (2.83) Acct: 4.63 (4.59) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 03:17:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.692 (6.736) Lt: 5.952 (5.990) Accm: 2.73 (2.74) Acct: 4.35 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 03:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.688 (6.714) Lt: 5.931 (5.973) Accm: 2.80 (2.83) Acct: 4.56 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0015
[11-27 03:20:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:36 (0.382 s / it)
[11-27 03:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.774 (6.765) Lt: 6.065 (6.059) Accm: 2.72 (2.82) Acct: 4.44 (4.40) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0021
[11-27 03:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.743 (6.751) Lt: 6.042 (6.022) Accm: 2.86 (2.82) Acct: 4.49 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0016
[11-27 03:20:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 79/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.30 Lm: 6.795 (6.782) Lt: 6.110 (6.074) Accm: 2.67 (2.67) Acct: 4.20 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0019
[11-27 03:20:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:36 (0.382 s / it)
[11-27 03:20:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:36 (0.382 s / it)
[11-27 03:20:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 79/350] Total time: 0:10:36 (0.382 s / it)
[11-27 03:22:11] (home/user/VAR/trainer.py, line 114)=> FID: 4.773472067984358
[11-27 03:22:11] (/home/user/VAR/train.py , line 259)=> [*] [ep79] (val 50000) Lm: 6.7283, Lt: 6.0015, Acc m&t: 2.81 4.45, Val cost: 131.26s
[11-27 03:22:11] (/home/user/VAR/train.py , line 264)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-27 03:22:34] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.728 (6.728), Lt: 5.999 (6.001), Acc m&t: 2.81 4.45, Remain: 2 days, 0:02:05, Finish: 2024-11-28 11:22
[11-27 03:22:34] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.728 (6.728), Lt: 5.999 (6.001), Acc m&t: 2.81 4.45, Remain: 2 days, 0:01:32, Finish: 2024-11-28 11:21
[11-27 03:22:34] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.728 (6.728), Lt: 5.999 (6.001), Acc m&t: 2.81 4.45, Remain: 2 days, 0:01:51, Finish: 2024-11-28 11:21
[11-27 03:22:34] (/home/user/VAR/train.py , line 276)=> [ep79] (training ) Lm: 6.728 (6.728), Lt: 5.999 (6.001), Acc m&t: 2.81 4.45, Remain: 2 days, 0:01:21, Finish: 2024-11-28 11:21
[11-27 03:22:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:10:38 tlr: 0.0002 tnm: 0.33 Lm: 6.651 (6.651) Lt: 5.875 (5.875) Accm: 2.96 (2.96) Acct: 5.06 (5.06) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0003
[11-27 03:22:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:10:37 tlr: 0.0002 tnm: 0.33 Lm: 6.790 (6.790) Lt: 6.106 (6.106) Accm: 2.67 (2.67) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0003
[11-27 03:22:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:10:37 tlr: 0.0002 tnm: 0.33 Lm: 6.690 (6.690) Lt: 5.942 (5.942) Accm: 2.58 (2.58) Acct: 4.01 (4.01) proj_loss: 0.0000 (0.0000) time: 0.3819 data: 0.0004
[11-27 03:22:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 0:11:04 tlr: 0.0002 tnm: 0.33 Lm: 6.723 (6.723) Lt: 5.944 (5.944) Accm: 2.86 (2.86) Acct: 4.82 (4.82) proj_loss: 0.0000 (0.0000) time: 0.3979 data: 0.0003
[11-27 03:25:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.31 Lm: 6.694 (6.694) Lt: 5.960 (5.960) Accm: 2.94 (2.94) Acct: 4.74 (4.74) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 03:25:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.31 Lm: 6.760 (6.760) Lt: 6.059 (6.059) Accm: 2.83 (2.83) Acct: 4.28 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 03:25:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.31 Lm: 6.725 (6.725) Lt: 6.021 (6.021) Accm: 2.67 (2.67) Acct: 4.14 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 03:25:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:07:56 tlr: 0.0002 tnm: 0.31 Lm: 6.722 (6.722) Lt: 5.980 (5.980) Accm: 2.70 (2.70) Acct: 4.48 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 03:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.31 Lm: 6.794 (6.751) Lt: 6.084 (6.024) Accm: 2.53 (2.64) Acct: 3.93 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-27 03:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.31 Lm: 6.760 (6.777) Lt: 6.100 (6.092) Accm: 2.58 (2.60) Acct: 4.01 (3.99) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-27 03:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.31 Lm: 6.731 (6.714) Lt: 6.012 (6.000) Accm: 2.99 (2.96) Acct: 4.65 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-27 03:27:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.31 Lm: 6.723 (6.762) Lt: 5.976 (6.056) Accm: 2.86 (2.74) Acct: 4.67 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3803 data: 0.0002
[11-27 03:31:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:50 tlr: 0.0002 tnm: 0.32 Lm: 6.756 (6.769) Lt: 6.032 (6.064) Accm: 2.73 (2.70) Acct: 4.38 (4.25) proj_loss: 0.0000 (0.0000) time: 0.4751 data: 0.0002
[11-27 03:31:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:50 tlr: 0.0002 tnm: 0.32 Lm: 6.754 (6.742) Lt: 6.047 (6.020) Accm: 2.74 (2.72) Acct: 4.24 (4.36) proj_loss: 0.0000 (0.0000) time: 0.4751 data: 0.0002
[11-27 03:31:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:50 tlr: 0.0002 tnm: 0.32 Lm: 6.740 (6.763) Lt: 6.052 (6.070) Accm: 2.66 (2.64) Acct: 4.14 (4.06) proj_loss: 0.0000 (0.0000) time: 0.4751 data: 0.0002
[11-27 03:31:04] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:02:50 tlr: 0.0002 tnm: 0.32 Lm: 6.760 (6.745) Lt: 6.059 (6.039) Accm: 2.83 (2.84) Acct: 4.36 (4.41) proj_loss: 0.0000 (0.0000) time: 0.4751 data: 0.0002
[11-27 03:33:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.731 (6.720) Lt: 6.012 (6.005) Accm: 2.99 (2.91) Acct: 4.65 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3839 data: 0.0017
[11-27 03:33:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:11:13 (0.404 s / it)
[11-27 03:33:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.722 (6.738) Lt: 6.010 (6.008) Accm: 2.73 (2.72) Acct: 4.30 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3839 data: 0.0015
[11-27 03:33:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.723 (6.736) Lt: 5.976 (6.022) Accm: 2.86 (2.83) Acct: 4.67 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3839 data: 0.0020
[11-27 03:33:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.760 (6.772) Lt: 6.066 (6.069) Accm: 2.58 (2.61) Acct: 4.27 (4.11) proj_loss: 0.0000 (0.0000) time: 0.3839 data: 0.0016
[11-27 03:33:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:11:13 (0.404 s / it)
[11-27 03:33:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:11:13 (0.404 s / it)
[11-27 03:33:47] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:11:13 (0.404 s / it)
[11-27 03:33:47] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.728 (6.736), Lt: 5.999 (6.007), Acc m&t: 2.81 4.45, Remain: 2 days, 0:02:39, Finish: 2024-11-28 11:36
[11-27 03:33:47] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.728 (6.736), Lt: 5.999 (6.007), Acc m&t: 2.81 4.45, Remain: 2 days, 0:03:46, Finish: 2024-11-28 11:37
[11-27 03:33:47] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.728 (6.736), Lt: 5.999 (6.007), Acc m&t: 2.81 4.45, Remain: 2 days, 0:02:13, Finish: 2024-11-28 11:36
[11-27 03:33:47] (/home/user/VAR/train.py , line 276)=> [ep80] (training ) Lm: 6.728 (6.736), Lt: 5.999 (6.007), Acc m&t: 2.81 4.45, Remain: 2 days, 0:02:51, Finish: 2024-11-28 11:36
[11-27 03:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:10:13 tlr: 0.0002 tnm: 0.35 Lm: 6.766 (6.766) Lt: 6.030 (6.030) Accm: 2.72 (2.72) Acct: 4.20 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3679 data: 0.0004
[11-27 03:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:10:24 tlr: 0.0002 tnm: 0.35 Lm: 6.544 (6.544) Lt: 5.791 (5.791) Accm: 3.11 (3.11) Acct: 4.46 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3741 data: 0.0003
[11-27 03:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:10:25 tlr: 0.0002 tnm: 0.35 Lm: 6.658 (6.658) Lt: 5.933 (5.933) Accm: 3.02 (3.02) Acct: 4.67 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3748 data: 0.0003
[11-27 03:33:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:10:25 tlr: 0.0002 tnm: 0.35 Lm: 6.625 (6.625) Lt: 5.906 (5.906) Accm: 2.92 (2.92) Acct: 4.86 (4.86) proj_loss: 0.0000 (0.0000) time: 0.3745 data: 0.0003
[11-27 03:36:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:08:01 tlr: 0.0002 tnm: 0.32 Lm: 6.677 (6.677) Lt: 5.952 (5.952) Accm: 3.02 (3.02) Acct: 4.93 (4.93) proj_loss: 0.0000 (0.0000) time: 0.4341 data: 0.0002
[11-27 03:36:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:08:01 tlr: 0.0002 tnm: 0.32 Lm: 6.741 (6.741) Lt: 6.006 (6.006) Accm: 2.79 (2.79) Acct: 4.36 (4.36) proj_loss: 0.0000 (0.0000) time: 0.4341 data: 0.0002
[11-27 03:36:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:08:01 tlr: 0.0002 tnm: 0.32 Lm: 6.726 (6.726) Lt: 6.009 (6.009) Accm: 2.78 (2.78) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.4341 data: 0.0002
[11-27 03:36:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:08:01 tlr: 0.0002 tnm: 0.32 Lm: 6.675 (6.675) Lt: 5.959 (5.959) Accm: 2.82 (2.82) Acct: 4.33 (4.33) proj_loss: 0.0000 (0.0000) time: 0.4341 data: 0.0002
[11-27 03:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.37 Lm: 6.674 (6.675) Lt: 5.930 (5.949) Accm: 2.88 (2.84) Acct: 4.46 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-27 03:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.37 Lm: 6.716 (6.729) Lt: 5.983 (5.988) Accm: 2.86 (2.87) Acct: 4.51 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-27 03:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.37 Lm: 6.794 (6.768) Lt: 6.085 (6.035) Accm: 2.54 (2.69) Acct: 3.93 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0003
[11-27 03:39:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.37 Lm: 6.717 (6.691) Lt: 5.998 (5.974) Accm: 2.92 (2.97) Acct: 4.86 (4.75) proj_loss: 0.0000 (0.0000) time: 0.3823 data: 0.0002
[11-27 03:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.723 (6.724) Lt: 6.008 (6.028) Accm: 2.90 (2.87) Acct: 4.61 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 03:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.741 (6.739) Lt: 5.967 (5.966) Accm: 2.79 (2.82) Acct: 4.48 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 03:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.617 (6.646) Lt: 5.861 (5.904) Accm: 2.99 (2.98) Acct: 4.64 (4.77) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 03:41:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.761 (6.758) Lt: 6.022 (6.016) Accm: 2.72 (2.74) Acct: 4.02 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 03:44:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.739 (6.754) Lt: 6.076 (6.028) Accm: 2.84 (2.76) Acct: 4.12 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0015
[11-27 03:44:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:37 (0.382 s / it)
[11-27 03:44:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.674 (6.680) Lt: 5.930 (5.946) Accm: 2.88 (2.89) Acct: 4.46 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0017
[11-27 03:44:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.716 (6.717) Lt: 5.950 (5.937) Accm: 2.86 (2.94) Acct: 4.51 (4.69) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0016
[11-27 03:44:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.32 Lm: 6.717 (6.714) Lt: 5.998 (6.013) Accm: 2.90 (2.87) Acct: 4.37 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0019
[11-27 03:44:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:37 (0.382 s / it)
[11-27 03:44:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:37 (0.382 s / it)
[11-27 03:44:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:37 (0.382 s / it)
[11-27 03:44:25] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.725 (6.725), Lt: 5.996 (5.996), Acc m&t: 2.81 4.45, Remain: 1 day, 23:45:52, Finish: 2024-11-28 11:30
[11-27 03:44:25] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.725 (6.725), Lt: 5.996 (5.996), Acc m&t: 2.81 4.45, Remain: 1 day, 23:46:01, Finish: 2024-11-28 11:30
[11-27 03:44:25] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.725 (6.725), Lt: 5.996 (5.996), Acc m&t: 2.81 4.45, Remain: 1 day, 23:45:28, Finish: 2024-11-28 11:29
[11-27 03:44:25] (/home/user/VAR/train.py , line 276)=> [ep81] (training ) Lm: 6.725 (6.725), Lt: 5.996 (5.996), Acc m&t: 2.81 4.45, Remain: 1 day, 23:45:40, Finish: 2024-11-28 11:30
[11-27 03:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:10:29 tlr: 0.0002 tnm: 0.34 Lm: 6.800 (6.800) Lt: 6.091 (6.091) Accm: 2.70 (2.70) Acct: 4.42 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3770 data: 0.0004
[11-27 03:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:10:29 tlr: 0.0002 tnm: 0.34 Lm: 6.694 (6.694) Lt: 5.976 (5.976) Accm: 3.03 (3.03) Acct: 4.73 (4.73) proj_loss: 0.0000 (0.0000) time: 0.3772 data: 0.0003
[11-27 03:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:10:30 tlr: 0.0002 tnm: 0.34 Lm: 6.664 (6.664) Lt: 5.890 (5.890) Accm: 3.04 (3.04) Acct: 4.91 (4.91) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0004
[11-27 03:44:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:10:30 tlr: 0.0002 tnm: 0.34 Lm: 6.665 (6.665) Lt: 5.954 (5.954) Accm: 2.75 (2.75) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0004
[11-27 03:47:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.33 Lm: 6.714 (6.714) Lt: 5.985 (5.985) Accm: 2.78 (2.78) Acct: 4.27 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 03:47:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.33 Lm: 6.693 (6.693) Lt: 5.927 (5.927) Accm: 2.90 (2.90) Acct: 4.59 (4.59) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 03:47:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.33 Lm: 6.678 (6.678) Lt: 5.958 (5.958) Accm: 2.90 (2.90) Acct: 4.68 (4.68) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 03:47:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.33 Lm: 6.754 (6.754) Lt: 6.050 (6.050) Accm: 2.82 (2.82) Acct: 4.40 (4.40) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0002
[11-27 03:49:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.33 Lm: 6.694 (6.693) Lt: 5.976 (5.971) Accm: 3.03 (2.94) Acct: 4.73 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-27 03:49:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.33 Lm: 6.763 (6.735) Lt: 6.016 (6.024) Accm: 2.75 (2.68) Acct: 4.13 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-27 03:49:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.33 Lm: 6.703 (6.687) Lt: 5.994 (5.970) Accm: 2.70 (2.79) Acct: 4.42 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-27 03:49:44] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.33 Lm: 6.722 (6.742) Lt: 5.965 (5.996) Accm: 2.76 (2.79) Acct: 4.27 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3808 data: 0.0002
[11-27 03:52:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.693 (6.719) Lt: 5.928 (5.970) Accm: 2.86 (2.83) Acct: 4.50 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 03:52:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.703 (6.698) Lt: 5.979 (5.974) Accm: 3.05 (2.97) Acct: 4.66 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 03:52:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.752 (6.720) Lt: 6.042 (6.002) Accm: 2.65 (2.69) Acct: 4.24 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 03:52:23] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:39 tlr: 0.0002 tnm: 0.33 Lm: 6.751 (6.736) Lt: 5.993 (6.010) Accm: 2.76 (2.71) Acct: 4.27 (4.23) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0002
[11-27 03:55:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.750 (6.739) Lt: 6.016 (6.027) Accm: 2.75 (2.69) Acct: 4.17 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0016
[11-27 03:55:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:36 (0.381 s / it)
[11-27 03:55:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.722 (6.721) Lt: 5.965 (5.980) Accm: 2.76 (2.82) Acct: 4.29 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0017
[11-27 03:55:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.793 (6.734) Lt: 6.091 (6.030) Accm: 2.70 (2.70) Acct: 4.10 (4.22) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0019
[11-27 03:55:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.712 (6.714) Lt: 5.981 (5.978) Accm: 3.03 (2.94) Acct: 4.58 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0016
[11-27 03:55:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:36 (0.381 s / it)
[11-27 03:55:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:36 (0.381 s / it)
[11-27 03:55:01] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:36 (0.381 s / it)
[11-27 03:55:01] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.715 (6.715), Lt: 5.980 (5.980), Acc m&t: 2.84 4.51, Remain: 1 day, 23:31:29, Finish: 2024-11-28 11:26
[11-27 03:55:01] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.715 (6.715), Lt: 5.980 (5.980), Acc m&t: 2.84 4.51, Remain: 1 day, 23:34:34, Finish: 2024-11-28 11:29
[11-27 03:55:01] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.715 (6.715), Lt: 5.980 (5.980), Acc m&t: 2.84 4.51, Remain: 1 day, 23:32:33, Finish: 2024-11-28 11:27
[11-27 03:55:01] (/home/user/VAR/train.py , line 276)=> [ep82] (training ) Lm: 6.715 (6.715), Lt: 5.980 (5.980), Acc m&t: 2.84 4.51, Remain: 1 day, 23:32:31, Finish: 2024-11-28 11:27
[11-27 03:55:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:23 tlr: 0.0002 tnm: 0.34 Lm: 6.771 (6.771) Lt: 6.020 (6.020) Accm: 2.60 (2.60) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3736 data: 0.0005
[11-27 03:55:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:24 tlr: 0.0002 tnm: 0.34 Lm: 6.661 (6.661) Lt: 5.975 (5.975) Accm: 3.00 (3.00) Acct: 4.73 (4.73) proj_loss: 0.0000 (0.0000) time: 0.3740 data: 0.0004
[11-27 03:55:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:24 tlr: 0.0002 tnm: 0.34 Lm: 6.777 (6.777) Lt: 6.042 (6.042) Accm: 2.62 (2.62) Acct: 4.25 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3742 data: 0.0003
[11-27 03:55:02] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:24 tlr: 0.0002 tnm: 0.34 Lm: 6.592 (6.592) Lt: 5.787 (5.787) Accm: 3.14 (3.14) Acct: 5.13 (5.13) proj_loss: 0.0000 (0.0000) time: 0.3742 data: 0.0004
[11-27 03:57:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.32 Lm: 6.740 (6.740) Lt: 6.000 (6.000) Accm: 2.81 (2.81) Acct: 4.58 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-27 03:57:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.32 Lm: 6.759 (6.759) Lt: 5.995 (5.995) Accm: 2.71 (2.71) Acct: 4.37 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-27 03:57:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.32 Lm: 6.768 (6.768) Lt: 6.064 (6.064) Accm: 2.59 (2.59) Acct: 4.16 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3817 data: 0.0002
[11-27 03:57:41] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.32 Lm: 6.697 (6.697) Lt: 6.015 (6.015) Accm: 2.75 (2.75) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3816 data: 0.0002
[11-27 04:00:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.32 Lm: 6.726 (6.707) Lt: 6.019 (6.016) Accm: 3.00 (2.85) Acct: 4.58 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 04:00:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.32 Lm: 6.760 (6.734) Lt: 6.042 (6.018) Accm: 2.62 (2.65) Acct: 4.25 (4.23) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 04:00:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.32 Lm: 6.747 (6.754) Lt: 6.020 (6.013) Accm: 2.81 (2.74) Acct: 4.41 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 04:00:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:18 tlr: 0.0002 tnm: 0.32 Lm: 6.747 (6.742) Lt: 6.004 (6.002) Accm: 2.89 (2.84) Acct: 4.58 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3810 data: 0.0002
[11-27 04:03:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:48 tlr: 0.0002 tnm: 0.33 Lm: 6.794 (6.767) Lt: 6.054 (6.027) Accm: 2.74 (2.78) Acct: 4.31 (4.45) proj_loss: 0.0000 (0.0000) time: 0.4792 data: 0.0002
[11-27 04:03:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:48 tlr: 0.0002 tnm: 0.33 Lm: 6.694 (6.695) Lt: 5.997 (5.973) Accm: 2.98 (2.88) Acct: 4.66 (4.52) proj_loss: 0.0000 (0.0000) time: 0.4792 data: 0.0002
[11-27 04:03:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:48 tlr: 0.0002 tnm: 0.33 Lm: 6.759 (6.770) Lt: 6.034 (6.037) Accm: 2.71 (2.70) Acct: 4.30 (4.34) proj_loss: 0.0000 (0.0000) time: 0.4792 data: 0.0002
[11-27 04:03:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:48 tlr: 0.0002 tnm: 0.33 Lm: 6.713 (6.698) Lt: 5.984 (5.981) Accm: 2.70 (2.81) Acct: 4.31 (4.43) proj_loss: 0.0000 (0.0000) time: 0.4792 data: 0.0002
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.718 (6.702) Lt: 6.030 (5.990) Accm: 2.78 (2.83) Acct: 4.37 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0016
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:11:13 (0.403 s / it)
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.661 (6.671) Lt: 5.975 (5.942) Accm: 3.00 (2.94) Acct: 4.73 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0019
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.780 (6.769) Lt: 6.051 (6.032) Accm: 2.66 (2.75) Acct: 4.05 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0017
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.771 (6.777) Lt: 6.048 (6.059) Accm: 2.64 (2.69) Acct: 4.20 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0015
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:11:13 (0.403 s / it)
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:11:13 (0.403 s / it)
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:11:13 (0.403 s / it)
[11-27 04:06:15] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.715 (6.720), Lt: 5.980 (5.988), Acc m&t: 2.84 4.51, Remain: 1 day, 23:24:43, Finish: 2024-11-28 11:30
[11-27 04:06:15] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.715 (6.720), Lt: 5.980 (5.988), Acc m&t: 2.84 4.51, Remain: 1 day, 23:24:39, Finish: 2024-11-28 11:30
[11-27 04:06:15] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.715 (6.720), Lt: 5.980 (5.988), Acc m&t: 2.84 4.51, Remain: 1 day, 23:24:56, Finish: 2024-11-28 11:31
[11-27 04:06:15] (/home/user/VAR/train.py , line 276)=> [ep83] (training ) Lm: 6.715 (6.720), Lt: 5.980 (5.988), Acc m&t: 2.84 4.51, Remain: 1 day, 23:25:49, Finish: 2024-11-28 11:32
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.33 Lm: 6.681 (6.681) Lt: 5.943 (5.943) Accm: 2.89 (2.89) Acct: 4.70 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3752 data: 0.0003
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:31 tlr: 0.0002 tnm: 0.33 Lm: 6.721 (6.721) Lt: 5.946 (5.946) Accm: 2.70 (2.70) Acct: 4.44 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3785 data: 0.0004
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.33 Lm: 6.774 (6.774) Lt: 6.046 (6.046) Accm: 2.57 (2.57) Acct: 4.22 (4.22) proj_loss: 0.0000 (0.0000) time: 0.3756 data: 0.0004
[11-27 04:06:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:27 tlr: 0.0002 tnm: 0.33 Lm: 6.607 (6.607) Lt: 5.811 (5.811) Accm: 3.33 (3.33) Acct: 5.56 (5.56) proj_loss: 0.0000 (0.0000) time: 0.3758 data: 0.0004
[11-27 04:08:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.35 Lm: 6.657 (6.657) Lt: 5.879 (5.879) Accm: 3.03 (3.03) Acct: 4.99 (4.99) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 04:08:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.35 Lm: 6.693 (6.693) Lt: 5.952 (5.952) Accm: 2.88 (2.88) Acct: 4.63 (4.63) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 04:08:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.35 Lm: 6.690 (6.690) Lt: 5.922 (5.922) Accm: 2.84 (2.84) Acct: 4.66 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 04:08:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:57 tlr: 0.0002 tnm: 0.35 Lm: 6.684 (6.684) Lt: 5.930 (5.930) Accm: 2.86 (2.86) Acct: 4.62 (4.62) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 04:11:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:20 tlr: 0.0002 tnm: 0.33 Lm: 6.686 (6.761) Lt: 5.943 (6.008) Accm: 2.82 (2.58) Acct: 4.55 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 04:11:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:20 tlr: 0.0002 tnm: 0.33 Lm: 6.677 (6.686) Lt: 5.911 (5.918) Accm: 2.70 (2.79) Acct: 4.44 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 04:11:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:20 tlr: 0.0002 tnm: 0.33 Lm: 6.706 (6.699) Lt: 5.946 (5.924) Accm: 2.85 (2.97) Acct: 4.44 (4.81) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0002
[11-27 04:11:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:20 tlr: 0.0002 tnm: 0.33 Lm: 6.612 (6.664) Lt: 5.859 (5.909) Accm: 3.18 (3.00) Acct: 5.04 (4.87) proj_loss: 0.0000 (0.0000) time: 0.3814 data: 0.0003
======================================================= RESTART [11-27 06:03:39] =======================================================
======================================================= RESTART [11-27 06:03:39] =======================================================
======================================================= RESTART [11-27 06:03:39] =======================================================
======================================================= RESTART [11-27 06:03:39] =======================================================
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 230)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-27 06:04:14] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-27 06:04:14] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth -1 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/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 : -1
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
finetune_ckpt : None
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 : d2f5000504bcac7850f5eb1258a2ab0298bd6ad1
commit_msg : add
branch : main
}
[11-27 06:04:14] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f333830c3a0>
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f333830c3a0>
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-27 06:04:17] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-best.pth ...
[11-27 06:04:17] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep80, it0
[11-27 06:04:17] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 230)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-27 06:04:14] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-27 06:04:14] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth -1 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/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 : -1
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
finetune_ckpt : None
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 : d2f5000504bcac7850f5eb1258a2ab0298bd6ad1
commit_msg : add
branch : main
}
[11-27 06:04:14] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f8c6c0e03a0>
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f8c6c0e03a0>
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-27 06:04:17] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-best.pth ...
[11-27 06:04:17] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep80, it0
[11-27 06:04:17] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 230)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-27 06:04:14] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-27 06:04:14] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth -1 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/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 : -1
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
finetune_ckpt : None
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 : d2f5000504bcac7850f5eb1258a2ab0298bd6ad1
branch : main
commit_msg : add
}
[11-27 06:04:14] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f95287dc3a0>
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f95287dc3a0>
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-27 06:04:17] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-best.pth ...
[11-27 06:04:17] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep80, it0
[11-27 06:04:17] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ...[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 228)=> [tf32] [precis] torch.get_float32_matmul_precision(): high
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 229)=> [tf32] [ conv ] torch.backends.cudnn.allow_tf32: True
[11-27 06:03:39] (er/VAR/utils/arg_util.py, line 230)=> [tf32] [matmul] torch.backends.cuda.matmul.allow_tf32: True
[11-27 06:04:14] (/home/user/VAR/train.py , line 37)=> global bs=768, local bs=24
[11-27 06:04:14] (/home/user/VAR/train.py , line 38)=> initial args:
{
data_path : /mnt/localssd/ImageNet2012/
exp_name : text
vae_ckpt : /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt
vfast : 2
tfast : 2
depth : 20
ini : -1
hd : 0.02
aln : 0.5
alng : 0.0001
fp16 : 1
tblr : 8e-05
tlr : 0.00024000000000000003
twd : 0.05
twde : 0.05
tclip : 2.0
ls : 0.0
bs : 768
batch_size : 24
glb_batch_size : 768
ac : 1
ep : 350
wp : 7.0
wp0 : 0.005
wpe : 0.01
sche : lin0
opt : adamw
afuse : True
saln : False
anorm : True
fuse : True
pn : 1_1_2_3_3_4_5_6_8_11
patch_size : 11
patch_nums : (1, 1, 2, 3, 3, 4, 5, 6, 8, 11)
resos : (11, 11, 22, 33, 33, 44, 55, 66, 88, 121)
data_load_reso : 256
mid_reso : 1.125
hflip : False
workers : 12
pg : 0.0
pg0 : 4
pgwp : 1.1666666666666667
cmd : --depth=20 --bs=768 --ep=350 --fp16=1 --alng=1e-4 --wpe=0.01 --tblr=8e-5 --data_path /mnt/localssd/ImageNet2012/ --workers 12 --vfast 2 --tfast 2 --encoder_model vit_base_patch14_dinov2.lvd142m --decoder_model vit_base_patch14_dinov2.lvd142m --product_quant 2 --semantic_guide dinov2 --num_latent_tokens 121 --codebook_embed_dim 14 --codebook_size 16384 --v_patch_nums 1 1 2 3 3 4 5 6 8 11 --pn 1_1_2_3_3_4_5_6_8_11 --patch_size 11 --local_out_dir_path /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ --vae_ckpt /sensei-fs/users/xiangl/output/exp141/best_ckpt.pt --p_drop 0.0 --st_ep 50 --ed_ep 150 --sem_half True --clip_norm True --scale 1.0 --encoder_depth -1 --proj_coef 0.2 --query False
acc_mean : None
acc_tail : None
L_mean : None
L_tail : None
vacc_mean : None
vacc_tail : None
vL_mean : None
vL_tail : None
grad_norm : None
cur_lr : None
cur_wd : None
cur_it :
cur_ep :
remain_time :
finish_time :
local_out_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/
tb_log_dir_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/tb-VARd20__pn1_1_2_3_3_4_5_6_8_11__b768ep350adamlr8e-05wd0.05
log_txt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/log.txt
last_ckpt_path : /sensei-fs/users/xiangl/exp141-var-d20-no-ali/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 : -1
projector_dim : 2048
z_dims : [768]
proj_coef : 0.2
query : False
finetune_ckpt : None
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 : d2f5000504bcac7850f5eb1258a2ab0298bd6ad1
}
[11-27 06:04:14] (/home/user/VAR/train.py , line 42)=> [build PT data] ...
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 34)=> [Dataset] len(train_set)=1281167, len(val_set)=50000, num_classes=1000
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 48)=> Transform [train] =
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> RandomCrop(size=(256, 256), padding=None)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f3f341ec3a0>
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 48)=> Transform [val] =
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> Resize(size=288, interpolation=lanczos, max_size=None, antialias=True)
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> CenterCrop(size=(256, 256))
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> ToTensor()
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 51)=> <function normalize_01_into_pm1 at 0x7f3f341ec3a0>
[11-27 06:04:16] (e/user/VAR/utils/data.py, line 54)=> ---------------------------
[11-27 06:04:17] (/home/user/VAR/train.py , line 65)=> [auto_resume] load ckpt from @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-best.pth ...
[11-27 06:04:17] (/home/user/VAR/train.py , line 65)=> [auto_resume success] resume from ep80, it0
[11-27 06:04:17] (/home/user/VAR/train.py , line 66)=> [dataloader multi processing] ... [dataloader multi processing](*) finished! (47.84s)
[dataloader multi processing](*) finished! (49.15s)
[dataloader multi processing](*) finished! (50.13s)
[dataloader multi processing](*) finished! (51.18s)
[11-27 06:05:04] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-27 06:05:09] (/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])
[11-27 06:05:09] (/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])
[11-27 06:05:11] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-27 06:05:07] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-27 06:05:10] (/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])
[11-27 06:05:10] (/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])
[11-27 06:05:11] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-27 06:05:06] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-27 06:05:11] (/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])
[11-27 06:05:11] (/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])
[11-27 06:05:12] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-27 06:05:08] (/home/user/VAR/train.py , line 72)=> [dataloader] gbs=768, lbs=24, iters_train=1669, types(tr, va)=('DatasetFolder', 'DatasetFolder')
[11-27 06:05:13] (/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])
[11-27 06:05:13] (/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])
[11-27 06:05:14] (e/user/VAR/models/var.py, line 117)=>
[constructor] ==== flash_if_available=True (0/20), fused_if_available=True (fusing_add_ln=0/20, fusing_mlp=0/20) ====
[VAR config ] embed_dim=1280, num_heads=20, depth=20, mlp_ratio=4.0
[drop ratios ] drop_rate=0.0, attn_drop_rate=0.0, drop_path_rate=0.0833333 (tensor([0.0000, 0.0044, 0.0088, 0.0132, 0.0175, 0.0219, 0.0263, 0.0307, 0.0351,
0.0395, 0.0439, 0.0482, 0.0526, 0.0570, 0.0614, 0.0658, 0.0702, 0.0746,
0.0789, 0.0833]))
[11-27 06:05:12] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-27 06:05:38] (/home/user/VAR/train.py , line 128)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
)
)
[11-27 06:05:38] (/home/user/VAR/train.py , line 130)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-27 06:05:38] (/home/user/VAR/train.py , line 131)=> [INIT][#para] VAR=637.14
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias')",
'wd_sc': 0.0}}
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank0] type(model).__name__='OptimizedModule' count=249, numel=637135248
[11-27 06:05:12] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-27 06:05:38] (/home/user/VAR/train.py , line 128)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
)
)
[11-27 06:05:38] (/home/user/VAR/train.py , line 130)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-27 06:05:38] (/home/user/VAR/train.py , line 131)=> [INIT][#para] VAR=637.14
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias')",
'wd_sc': 0.0}}
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank8] type(model).__name__='OptimizedModule' count=249, numel=637135248
[11-27 06:05:13] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-27 06:05:38] (/home/user/VAR/train.py , line 128)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
)
)
[11-27 06:05:38] (/home/user/VAR/train.py , line 130)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-27 06:05:38] (/home/user/VAR/train.py , line 131)=> [INIT][#para] VAR=637.14
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias')",
'wd_sc': 0.0}}
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank16] type(model).__name__='OptimizedModule' count=249, numel=637135248
[11-27 06:05:15] (e/user/VAR/models/var.py, line 425)=> [init_weights] VAR with init_std=0.0161374
[11-27 06:05:38] (/home/user/VAR/train.py , line 128)=> [INIT] VAR model = OptimizedModule(
(_orig_mod): VAR(
drop_path_rate=0.0833333
(word_embed): Linear(in_features=28, out_features=1280, bias=False)
(class_emb): Embedding(1001, 1280)
(lvl_embed): Embedding(10, 1280)
(shared_ada_lin): Identity()
(blocks): ModuleList(
(0): AdaLNSelfAttn(
shared_aln=False
(drop_path): Identity()
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
(1-19): 19 x AdaLNSelfAttn(
shared_aln=False
(drop_path): DropPath((drop_prob=...))
(attn): SelfAttention(
(mat_qkv): Linear(in_features=1280, out_features=3840, bias=False)
(proj): Linear(in_features=1280, out_features=1280, bias=True)
(proj_drop): Identity()
)
(ffn): FFN(
fused_mlp_func=False
(fc1): Linear(in_features=1280, out_features=5120, bias=True)
(act): GELU(approximate='tanh')
(fc2): Linear(in_features=5120, out_features=1280, bias=True)
(drop): Identity()
)
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=7680, bias=True)
)
)
)
(head_nm): AdaLNBeforeHead(
(ln_wo_grad): LayerNorm((1280,), eps=1e-06, elementwise_affine=False)
(ada_lin): Sequential(
(0): SiLU()
(1): Linear(in_features=1280, out_features=2560, bias=True)
)
)
(head): Linear(in_features=1280, out_features=32768, bias=True)
)
)
[11-27 06:05:38] (/home/user/VAR/train.py , line 130)=> [INIT][#para] VAE=257.83, VAE.enc=86.05, VAE.dec=85.87, VAE.quant=0.01
[11-27 06:05:38] (/home/user/VAR/train.py , line 131)=> [INIT][#para] VAR=637.14
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 99)=> [get_param_groups] param_groups =
{ 'D': { 'lr_sc': 1.0,
'params': "('_orig_mod.word_embed.weight, _orig_mod.class_emb.weight, _orig_mod.blocks.0.attn.mat_qkv.weight, _orig_mod.blocks.0.attn.proj.weight, _orig_mod.blocks.0.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.0.ffn.fc2.weight, _orig_mod.blocks.0.ada_lin.1.weight, _orig_mod.blocks.1.attn.mat_qkv.weight, _orig_mod.blocks.1.attn.proj.weight, _orig_mod.blocks.1.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.1.ffn.fc2.weight, _orig_mod.blocks.1.ada_lin.1.weight, _orig_mod.blocks.2.attn.mat_qkv.weight, _orig_mod.blocks.2.attn.proj.weight, _orig_mod.blocks.2.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.2.ffn.fc2.weight, _orig_mod.blocks.2.ada_lin.1.weight, _orig_mod.blocks.3.attn.mat_qkv.weight, _orig_mod.blocks.3.attn.proj.weight, _orig_mod.blocks.3.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.3.ffn.fc2.weight, _orig_mod.blocks.3.ada_lin.1.weight, _orig_mod.blocks.4.attn.mat_qkv.weight, _orig_mod.blocks.4.attn.proj.weight, _orig_mod.blocks.4.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.4.ffn.fc2.weight, _orig_mod.blocks.4.ada_lin.1.weight, _orig_mod.blocks.5.attn.mat_qkv.weight, _orig_mod.blocks.5.attn.proj.weight, _orig_mod.blocks.5.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.5.ffn.fc2.weight, _orig_mod.blocks.5.ada_lin.1.weight, _orig_mod.blocks.6.attn.mat_qkv.weight, _orig_mod.blocks.6.attn.proj.weight, _orig_mod.blocks.6.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.6.ffn.fc2.weight, _orig_mod.blocks.6.ada_lin.1.weight, _orig_mod.blocks.7.attn.mat_qkv.weight, _orig_mod.blocks.7.attn.proj.weight, _orig_mod.blocks.7.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.7.ffn.fc2.weight, _orig_mod.blocks.7.ada_lin.1.weight, _orig_mod.blocks.8.attn.mat_qkv.weight, _orig_mod.blocks.8.attn.proj.weight, _orig_mod.blocks.8.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.8.ffn.fc2.weight, _orig_mod.blocks.8.ada_lin.1.weight, _orig_mod.blocks.9.attn.mat_qkv.weight, _orig_mod.blocks.9.attn.proj.weight, _orig_mod.blocks.9.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.9.ffn.fc2.weight, _orig_mod.blocks.9.ada_lin.1.weight, _orig_mod.blocks.10.attn.mat_qkv.weight, _orig_mod.blocks.10.attn.proj.weight, _orig_mod.blocks.10.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.10.ffn.fc2.weight, _orig_mod.blocks.10.ada_lin.1.weight, _orig_mod.blocks.11.attn.mat_qkv.weight, _orig_mod.blocks.11.attn.proj.weight, _orig_mod.blocks.11.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.11.ffn.fc2.weight, _orig_mod.blocks.11.ada_lin.1.weight, _orig_mod.blocks.12.attn.mat_qkv.weight, _orig_mod.blocks.12.attn.proj.weight, _orig_mod.blocks.12.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.12.ffn.fc2.weight, _orig_mod.blocks.12.ada_lin.1.weight, _orig_mod.blocks.13.attn.mat_qkv.weight, _orig_mod.blocks.13.attn.proj.weight, _orig_mod.blocks.13.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.13.ffn.fc2.weight, _orig_mod.blocks.13.ada_lin.1.weight, _orig_mod.blocks.14.attn.mat_qkv.weight, _orig_mod.blocks.14.attn.proj.weight, _orig_mod.blocks.14.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.14.ffn.fc2.weight, _orig_mod.blocks.14.ada_lin.1.weight, _orig_mod.blocks.15.attn.mat_qkv.weight, _orig_mod.blocks.15.attn.proj.weight, _orig_mod.blocks.15.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.15.ffn.fc2.weight, _orig_mod.blocks.15.ada_lin.1.weight, _orig_mod.blocks.16.attn.mat_qkv.weight, _orig_mod.blocks.16.attn.proj.weight, _orig_mod.blocks.16.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.16.ffn.fc2.weight, _orig_mod.blocks.16.ada_lin.1.weight, _orig_mod.blocks.17.attn.mat_qkv.weight, _orig_mod.blocks.17.attn.proj.weight, _orig_mod.blocks.17.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.17.ffn.fc2.weight, _orig_mod.blocks.17.ada_lin.1.weight, _orig_mod.blocks.18.attn.mat_qkv.weight, _orig_mod.blocks.18.attn.proj.weight, _orig_mod.blocks.18.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.18.ffn.fc2.weight, _orig_mod.blocks.18.ada_lin.1.weight, _orig_mod.blocks.19.attn.mat_qkv.weight, _orig_mod.blocks.19.attn.proj.weight, _orig_mod.blocks.19.ffn.fc1.weight, '\n"
" '_orig_mod.blocks.19.ffn.fc2.weight, _orig_mod.blocks.19.ada_lin.1.weight, _orig_mod.head_nm.ada_lin.1.weight, _orig_mod.head.weight')",
'wd_sc': 1.0},
'ND': { 'lr_sc': 1.0,
'params': "('_orig_mod.pos_start, _orig_mod.pos_1LC, _orig_mod.lvl_embed.weight, _orig_mod.blocks.0.attn.scale_mul_1H11, _orig_mod.blocks.0.attn.q_bias, _orig_mod.blocks.0.attn.v_bias, '\n"
" '_orig_mod.blocks.0.attn.proj.bias, _orig_mod.blocks.0.ffn.fc1.bias, _orig_mod.blocks.0.ffn.fc2.bias, _orig_mod.blocks.0.ada_lin.1.bias, _orig_mod.blocks.1.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.1.attn.q_bias, _orig_mod.blocks.1.attn.v_bias, _orig_mod.blocks.1.attn.proj.bias, _orig_mod.blocks.1.ffn.fc1.bias, _orig_mod.blocks.1.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.1.ada_lin.1.bias, _orig_mod.blocks.2.attn.scale_mul_1H11, _orig_mod.blocks.2.attn.q_bias, _orig_mod.blocks.2.attn.v_bias, _orig_mod.blocks.2.attn.proj.bias, '\n"
" '_orig_mod.blocks.2.ffn.fc1.bias, _orig_mod.blocks.2.ffn.fc2.bias, _orig_mod.blocks.2.ada_lin.1.bias, _orig_mod.blocks.3.attn.scale_mul_1H11, _orig_mod.blocks.3.attn.q_bias, '\n"
" '_orig_mod.blocks.3.attn.v_bias, _orig_mod.blocks.3.attn.proj.bias, _orig_mod.blocks.3.ffn.fc1.bias, _orig_mod.blocks.3.ffn.fc2.bias, _orig_mod.blocks.3.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.4.attn.scale_mul_1H11, _orig_mod.blocks.4.attn.q_bias, _orig_mod.blocks.4.attn.v_bias, _orig_mod.blocks.4.attn.proj.bias, _orig_mod.blocks.4.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.4.ffn.fc2.bias, _orig_mod.blocks.4.ada_lin.1.bias, _orig_mod.blocks.5.attn.scale_mul_1H11, _orig_mod.blocks.5.attn.q_bias, _orig_mod.blocks.5.attn.v_bias, '\n"
" '_orig_mod.blocks.5.attn.proj.bias, _orig_mod.blocks.5.ffn.fc1.bias, _orig_mod.blocks.5.ffn.fc2.bias, _orig_mod.blocks.5.ada_lin.1.bias, _orig_mod.blocks.6.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.6.attn.q_bias, _orig_mod.blocks.6.attn.v_bias, _orig_mod.blocks.6.attn.proj.bias, _orig_mod.blocks.6.ffn.fc1.bias, _orig_mod.blocks.6.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.6.ada_lin.1.bias, _orig_mod.blocks.7.attn.scale_mul_1H11, _orig_mod.blocks.7.attn.q_bias, _orig_mod.blocks.7.attn.v_bias, _orig_mod.blocks.7.attn.proj.bias, '\n"
" '_orig_mod.blocks.7.ffn.fc1.bias, _orig_mod.blocks.7.ffn.fc2.bias, _orig_mod.blocks.7.ada_lin.1.bias, _orig_mod.blocks.8.attn.scale_mul_1H11, _orig_mod.blocks.8.attn.q_bias, '\n"
" '_orig_mod.blocks.8.attn.v_bias, _orig_mod.blocks.8.attn.proj.bias, _orig_mod.blocks.8.ffn.fc1.bias, _orig_mod.blocks.8.ffn.fc2.bias, _orig_mod.blocks.8.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.9.attn.scale_mul_1H11, _orig_mod.blocks.9.attn.q_bias, _orig_mod.blocks.9.attn.v_bias, _orig_mod.blocks.9.attn.proj.bias, _orig_mod.blocks.9.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.9.ffn.fc2.bias, _orig_mod.blocks.9.ada_lin.1.bias, _orig_mod.blocks.10.attn.scale_mul_1H11, _orig_mod.blocks.10.attn.q_bias, _orig_mod.blocks.10.attn.v_bias, '\n"
" '_orig_mod.blocks.10.attn.proj.bias, _orig_mod.blocks.10.ffn.fc1.bias, _orig_mod.blocks.10.ffn.fc2.bias, _orig_mod.blocks.10.ada_lin.1.bias, _orig_mod.blocks.11.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.11.attn.q_bias, _orig_mod.blocks.11.attn.v_bias, _orig_mod.blocks.11.attn.proj.bias, _orig_mod.blocks.11.ffn.fc1.bias, _orig_mod.blocks.11.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.11.ada_lin.1.bias, _orig_mod.blocks.12.attn.scale_mul_1H11, _orig_mod.blocks.12.attn.q_bias, _orig_mod.blocks.12.attn.v_bias, _orig_mod.blocks.12.attn.proj.bias, '\n"
" '_orig_mod.blocks.12.ffn.fc1.bias, _orig_mod.blocks.12.ffn.fc2.bias, _orig_mod.blocks.12.ada_lin.1.bias, _orig_mod.blocks.13.attn.scale_mul_1H11, _orig_mod.blocks.13.attn.q_bias, '\n"
" '_orig_mod.blocks.13.attn.v_bias, _orig_mod.blocks.13.attn.proj.bias, _orig_mod.blocks.13.ffn.fc1.bias, _orig_mod.blocks.13.ffn.fc2.bias, _orig_mod.blocks.13.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.14.attn.scale_mul_1H11, _orig_mod.blocks.14.attn.q_bias, _orig_mod.blocks.14.attn.v_bias, _orig_mod.blocks.14.attn.proj.bias, _orig_mod.blocks.14.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.14.ffn.fc2.bias, _orig_mod.blocks.14.ada_lin.1.bias, _orig_mod.blocks.15.attn.scale_mul_1H11, _orig_mod.blocks.15.attn.q_bias, _orig_mod.blocks.15.attn.v_bias, '\n"
" '_orig_mod.blocks.15.attn.proj.bias, _orig_mod.blocks.15.ffn.fc1.bias, _orig_mod.blocks.15.ffn.fc2.bias, _orig_mod.blocks.15.ada_lin.1.bias, _orig_mod.blocks.16.attn.scale_mul_1H11, '\n"
" '_orig_mod.blocks.16.attn.q_bias, _orig_mod.blocks.16.attn.v_bias, _orig_mod.blocks.16.attn.proj.bias, _orig_mod.blocks.16.ffn.fc1.bias, _orig_mod.blocks.16.ffn.fc2.bias, '\n"
" '_orig_mod.blocks.16.ada_lin.1.bias, _orig_mod.blocks.17.attn.scale_mul_1H11, _orig_mod.blocks.17.attn.q_bias, _orig_mod.blocks.17.attn.v_bias, _orig_mod.blocks.17.attn.proj.bias, '\n"
" '_orig_mod.blocks.17.ffn.fc1.bias, _orig_mod.blocks.17.ffn.fc2.bias, _orig_mod.blocks.17.ada_lin.1.bias, _orig_mod.blocks.18.attn.scale_mul_1H11, _orig_mod.blocks.18.attn.q_bias, '\n"
" '_orig_mod.blocks.18.attn.v_bias, _orig_mod.blocks.18.attn.proj.bias, _orig_mod.blocks.18.ffn.fc1.bias, _orig_mod.blocks.18.ffn.fc2.bias, _orig_mod.blocks.18.ada_lin.1.bias, '\n"
" '_orig_mod.blocks.19.attn.scale_mul_1H11, _orig_mod.blocks.19.attn.q_bias, _orig_mod.blocks.19.attn.v_bias, _orig_mod.blocks.19.attn.proj.bias, _orig_mod.blocks.19.ffn.fc1.bias, '\n"
" '_orig_mod.blocks.19.ffn.fc2.bias, _orig_mod.blocks.19.ada_lin.1.bias, _orig_mod.head_nm.ada_lin.1.bias, _orig_mod.head.bias')",
'wd_sc': 0.0}}
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 104)=> [get_param_groups][rank24] type(model).__name__='OptimizedModule' count=249, numel=637135248
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 105)=>
[11-27 06:05:38] (/home/user/VAR/train.py , line 146)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-27 06:05:39] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-27 06:05:39] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-27 06:05:40] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-27 06:05:40] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-27 06:17:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 14 days, 4:35:41 tlr: 0.0002 tnm: 0.34 Lm: 6.785 (6.785) Lt: 6.068 (6.068) Accm: 2.86 (2.86) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 734.6566 data: 0.0006
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 105)=>
[11-27 06:05:38] (/home/user/VAR/train.py , line 146)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-27 06:05:39] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-27 06:05:39] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-27 06:05:39] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-27 06:05:39] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-27 06:17:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 14 days, 4:15:57 tlr: 0.0002 tnm: 0.34 Lm: 6.754 (6.754) Lt: 6.094 (6.094) Accm: 2.60 (2.60) Acct: 3.86 (3.86) proj_loss: 0.0000 (0.0000) time: 733.9469 data: 0.0005
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 105)=>
[11-27 06:05:38] (/home/user/VAR/train.py , line 146)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-27 06:05:39] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-27 06:05:39] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-27 06:05:40] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-27 06:05:40] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-27 06:17:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 14 days, 4:37:18 tlr: 0.0002 tnm: 0.34 Lm: 6.742 (6.742) Lt: 6.037 (6.037) Accm: 2.75 (2.75) Acct: 4.32 (4.32) proj_loss: 0.0000 (0.0000) time: 734.7144 data: 0.0006
[11-27 06:05:38] (/VAR/utils/lr_control.py, line 105)=>
[11-27 06:05:38] (/home/user/VAR/train.py , line 146)=> [INIT] optim=functools.partial(<class 'torch.optim.adamw.AdamW'>, betas=(0.9, 0.95), fused=True), opt_kw={'lr': 0.00024000000000000003, 'weight_decay': 0}
[11-27 06:05:39] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] var_wo_ddp missing: []
[11-27 06:05:39] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] var_wo_ddp unexpected: []
[11-27 06:05:39] (home/user/VAR/trainer.py, line 263)=> [VARTrainer.load_state_dict] vae_local missing: []
[11-27 06:05:39] (home/user/VAR/trainer.py, line 264)=> [VARTrainer.load_state_dict] vae_local unexpected: []
[11-27 06:17:57] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 0/1669] eta: 14 days, 4:36:57 tlr: 0.0002 tnm: 0.34 Lm: 6.709 (6.709) Lt: 5.909 (5.909) Accm: 3.09 (3.09) Acct: 5.29 (5.29) proj_loss: 0.0000 (0.0000) time: 734.7022 data: 0.0006
[11-27 06:24:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:56:29 tlr: 0.0002 tnm: 0.33 Lm: 6.744 (6.744) Lt: 5.961 (5.961) Accm: 2.96 (2.96) Acct: 4.85 (4.85) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 06:24:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:56:29 tlr: 0.0002 tnm: 0.33 Lm: 6.750 (6.750) Lt: 6.055 (6.055) Accm: 2.66 (2.66) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 06:24:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:56:29 tlr: 0.0002 tnm: 0.33 Lm: 6.774 (6.774) Lt: 6.056 (6.056) Accm: 2.88 (2.88) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 06:24:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 417/1669] eta: 0:56:27 tlr: 0.0002 tnm: 0.33 Lm: 6.707 (6.707) Lt: 6.022 (6.022) Accm: 2.69 (2.69) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 06:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:21:30 tlr: 0.0002 tnm: 0.32 Lm: 6.754 (6.746) Lt: 6.094 (6.077) Accm: 2.60 (2.59) Acct: 3.86 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3844 data: 0.0003
[11-27 06:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:21:31 tlr: 0.0002 tnm: 0.32 Lm: 6.763 (6.738) Lt: 6.044 (6.022) Accm: 2.90 (2.90) Acct: 4.53 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3844 data: 0.0002
[11-27 06:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:21:31 tlr: 0.0002 tnm: 0.32 Lm: 6.777 (6.755) Lt: 6.013 (6.006) Accm: 2.83 (2.82) Acct: 4.41 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3844 data: 0.0002
[11-27 06:27:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [ 834/1669] eta: 0:21:31 tlr: 0.0002 tnm: 0.32 Lm: 6.759 (6.797) Lt: 6.073 (6.111) Accm: 2.57 (2.53) Acct: 3.94 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3845 data: 0.0002
[11-27 06:29:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:08:04 tlr: 0.0002 tnm: 0.31 Lm: 6.750 (6.770) Lt: 6.055 (6.070) Accm: 2.66 (2.59) Acct: 4.13 (4.08) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0002
[11-27 06:29:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:08:04 tlr: 0.0002 tnm: 0.31 Lm: 6.774 (6.761) Lt: 6.056 (6.056) Accm: 2.88 (2.72) Acct: 4.53 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0002
[11-27 06:29:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:08:04 tlr: 0.0002 tnm: 0.31 Lm: 6.745 (6.745) Lt: 5.980 (5.991) Accm: 2.75 (2.79) Acct: 4.34 (4.50) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0003
[11-27 06:29:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1251/1669] eta: 0:08:04 tlr: 0.0002 tnm: 0.31 Lm: 6.773 (6.757) Lt: 6.120 (6.094) Accm: 2.62 (2.60) Acct: 3.93 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0002
[11-27 06:32:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.754 (6.741) Lt: 6.094 (6.062) Accm: 2.64 (2.65) Acct: 4.01 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0018
[11-27 06:32:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:26:50 (0.965 s / it)
[11-27 06:32:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.763 (6.723) Lt: 6.044 (6.006) Accm: 2.90 (2.83) Acct: 4.53 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0019
[11-27 06:32:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.758 (6.747) Lt: 5.964 (5.986) Accm: 2.71 (2.77) Acct: 4.27 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0017
[11-27 06:32:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 80/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.759 (6.778) Lt: 6.073 (6.074) Accm: 2.57 (2.57) Acct: 4.03 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0015
[11-27 06:32:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:26:50 (0.965 s / it)
[11-27 06:32:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:26:50 (0.965 s / it)
[11-27 06:32:33] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 80/350] Total time: 0:26:50 (0.965 s / it)
[11-27 06:32:33] (/home/user/VAR/train.py , line 279)=> [ep80] (training ) Lm: 6.737 (6.737), Lt: 6.011 (6.011), Acc m&t: 2.77 4.38, Remain: 2 days, 0:11:26, Finish: 2024-11-28 14:43
[11-27 06:32:33] (/home/user/VAR/train.py , line 279)=> [ep80] (training ) Lm: 6.737 (6.737), Lt: 6.011 (6.011), Acc m&t: 2.77 4.38, Remain: 2 days, 0:10:04, Finish: 2024-11-28 14:42
[11-27 06:32:33] (/home/user/VAR/train.py , line 279)=> [ep80] (training ) Lm: 6.737 (6.737), Lt: 6.011 (6.011), Acc m&t: 2.77 4.38, Remain: 2 days, 0:09:49, Finish: 2024-11-28 14:42
[11-27 06:32:33] (/home/user/VAR/train.py , line 279)=> [ep80] (training ) Lm: 6.737 (6.737), Lt: 6.011 (6.011), Acc m&t: 2.77 4.38, Remain: 2 days, 0:10:53, Finish: 2024-11-28 14:43
[11-27 06:32:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:10:59 tlr: 0.0002 tnm: 0.34 Lm: 6.646 (6.646) Lt: 5.906 (5.906) Accm: 2.91 (2.91) Acct: 4.80 (4.80) proj_loss: 0.0000 (0.0000) time: 0.3949 data: 0.0004
[11-27 06:32:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:10:18 tlr: 0.0002 tnm: 0.34 Lm: 6.792 (6.792) Lt: 6.039 (6.039) Accm: 2.62 (2.62) Acct: 4.15 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3707 data: 0.0003
[11-27 06:32:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:10:18 tlr: 0.0002 tnm: 0.34 Lm: 6.550 (6.550) Lt: 5.762 (5.762) Accm: 3.33 (3.33) Acct: 5.27 (5.27) proj_loss: 0.0000 (0.0000) time: 0.3708 data: 0.0004
[11-27 06:32:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 0/1669] eta: 0:10:18 tlr: 0.0002 tnm: 0.34 Lm: 6.598 (6.598) Lt: 5.830 (5.830) Accm: 3.18 (3.18) Acct: 5.18 (5.18) proj_loss: 0.0000 (0.0000) time: 0.3708 data: 0.0004
[11-27 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:08:00 tlr: 0.0002 tnm: 0.32 Lm: 6.695 (6.695) Lt: 5.937 (5.937) Accm: 2.89 (2.89) Acct: 4.69 (4.69) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0002
[11-27 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:08:00 tlr: 0.0002 tnm: 0.32 Lm: 6.682 (6.682) Lt: 5.959 (5.959) Accm: 2.94 (2.94) Acct: 4.35 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0002
[11-27 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:08:00 tlr: 0.0002 tnm: 0.32 Lm: 6.743 (6.743) Lt: 5.982 (5.982) Accm: 2.67 (2.67) Acct: 4.15 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0002
[11-27 06:35:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 417/1669] eta: 0:08:00 tlr: 0.0002 tnm: 0.32 Lm: 6.715 (6.715) Lt: 5.996 (5.996) Accm: 2.90 (2.90) Acct: 4.77 (4.77) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0002
[11-27 06:37:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.36 Lm: 6.713 (6.715) Lt: 6.027 (6.006) Accm: 2.90 (2.88) Acct: 4.73 (4.64) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-27 06:37:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.36 Lm: 6.694 (6.721) Lt: 5.925 (5.956) Accm: 2.62 (2.64) Acct: 4.15 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-27 06:37:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.36 Lm: 6.695 (6.686) Lt: 5.950 (5.956) Accm: 2.71 (2.86) Acct: 4.29 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-27 06:37:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.36 Lm: 6.793 (6.741) Lt: 6.044 (5.996) Accm: 2.64 (2.81) Acct: 4.20 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3826 data: 0.0002
[11-27 06:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.31 Lm: 6.779 (6.747) Lt: 6.015 (5.993) Accm: 2.62 (2.71) Acct: 4.14 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 06:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.31 Lm: 6.640 (6.661) Lt: 5.873 (5.916) Accm: 3.02 (3.01) Acct: 4.78 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 06:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.31 Lm: 6.711 (6.723) Lt: 5.914 (5.943) Accm: 2.67 (2.68) Acct: 4.24 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 06:40:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.31 Lm: 6.749 (6.742) Lt: 6.056 (6.043) Accm: 2.87 (2.75) Acct: 4.56 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3822 data: 0.0002
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.713 (6.715) Lt: 6.027 (6.005) Accm: 2.90 (2.90) Acct: 4.73 (4.62) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0016
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:39 (0.383 s / it)
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.694 (6.711) Lt: 5.903 (5.931) Accm: 2.72 (2.74) Acct: 4.34 (4.43) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0017
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.695 (6.693) Lt: 5.950 (5.952) Accm: 2.71 (2.95) Acct: 4.29 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0017
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 81/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.33 Lm: 6.765 (6.749) Lt: 6.022 (5.999) Accm: 2.64 (2.72) Acct: 4.20 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0017
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:39 (0.383 s / it)
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:39 (0.383 s / it)
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 81/350] Total time: 0:10:39 (0.383 s / it)
[11-27 06:43:13] (/home/user/VAR/train.py , line 279)=> [ep81] (training ) Lm: 6.726 (6.726), Lt: 5.996 (5.996), Acc m&t: 2.79 4.42, Remain: 2 days, 0:00:28, Finish: 2024-11-28 14:43
[11-27 06:43:13] (/home/user/VAR/train.py , line 279)=> [ep81] (training ) Lm: 6.726 (6.726), Lt: 5.996 (5.996), Acc m&t: 2.79 4.42, Remain: 2 days, 0:01:10, Finish: 2024-11-28 14:44
[11-27 06:43:13] (/home/user/VAR/train.py , line 279)=> [ep81] (training ) Lm: 6.726 (6.726), Lt: 5.996 (5.996), Acc m&t: 2.79 4.42, Remain: 2 days, 0:01:11, Finish: 2024-11-28 14:44
[11-27 06:43:13] (/home/user/VAR/train.py , line 279)=> [ep81] (training ) Lm: 6.726 (6.726), Lt: 5.996 (5.996), Acc m&t: 2.79 4.42, Remain: 2 days, 0:00:31, Finish: 2024-11-28 14:43
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.33 Lm: 6.759 (6.759) Lt: 6.075 (6.075) Accm: 3.05 (3.05) Acct: 4.42 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3755 data: 0.0003
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.33 Lm: 6.645 (6.645) Lt: 5.896 (5.896) Accm: 2.96 (2.96) Acct: 4.87 (4.87) proj_loss: 0.0000 (0.0000) time: 0.3754 data: 0.0003
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.33 Lm: 6.674 (6.674) Lt: 5.951 (5.951) Accm: 2.88 (2.88) Acct: 4.79 (4.79) proj_loss: 0.0000 (0.0000) time: 0.3756 data: 0.0003
[11-27 06:43:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 0/1669] eta: 0:10:26 tlr: 0.0002 tnm: 0.33 Lm: 6.660 (6.660) Lt: 5.886 (5.886) Accm: 3.07 (3.07) Acct: 4.82 (4.82) proj_loss: 0.0000 (0.0000) time: 0.3757 data: 0.0003
[11-27 06:45:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.32 Lm: 6.675 (6.675) Lt: 5.919 (5.919) Accm: 2.97 (2.97) Acct: 4.76 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 06:45:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.32 Lm: 6.697 (6.697) Lt: 5.946 (5.946) Accm: 2.84 (2.84) Acct: 4.64 (4.64) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 06:45:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.32 Lm: 6.740 (6.740) Lt: 6.043 (6.043) Accm: 2.76 (2.76) Acct: 4.49 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 06:45:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.32 Lm: 6.703 (6.703) Lt: 6.006 (6.006) Accm: 2.97 (2.97) Acct: 4.35 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 06:48:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.37 Lm: 6.716 (6.707) Lt: 5.984 (5.999) Accm: 2.91 (2.95) Acct: 4.42 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0002
[11-27 06:48:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.37 Lm: 6.749 (6.728) Lt: 5.996 (5.995) Accm: 2.71 (2.72) Acct: 4.41 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0002
[11-27 06:48:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.37 Lm: 6.674 (6.688) Lt: 5.951 (5.972) Accm: 2.88 (2.94) Acct: 4.79 (4.74) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0002
[11-27 06:48:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.37 Lm: 6.690 (6.742) Lt: 5.951 (6.008) Accm: 2.86 (2.76) Acct: 4.70 (4.36) proj_loss: 0.0000 (0.0000) time: 0.3843 data: 0.0003
[11-27 06:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:42 tlr: 0.0002 tnm: 0.31 Lm: 6.677 (6.723) Lt: 5.919 (5.977) Accm: 2.91 (2.81) Acct: 4.73 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0002
[11-27 06:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:42 tlr: 0.0002 tnm: 0.31 Lm: 6.768 (6.743) Lt: 6.034 (6.015) Accm: 2.70 (2.71) Acct: 4.30 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0002
[11-27 06:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:42 tlr: 0.0002 tnm: 0.31 Lm: 6.737 (6.728) Lt: 6.029 (6.022) Accm: 2.90 (2.87) Acct: 4.35 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0002
[11-27 06:51:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1251/1669] eta: 0:02:42 tlr: 0.0002 tnm: 0.31 Lm: 6.678 (6.687) Lt: 5.944 (5.964) Accm: 2.91 (2.94) Acct: 4.80 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0002
[11-27 06:54:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.683 (6.700) Lt: 5.951 (5.968) Accm: 2.88 (2.91) Acct: 4.79 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0017
[11-27 06:54:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:47 (0.388 s / it)
[11-27 06:54:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.771 (6.749) Lt: 6.068 (6.025) Accm: 2.68 (2.70) Acct: 4.32 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0016
[11-27 06:54:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.759 (6.747) Lt: 6.075 (6.050) Accm: 2.88 (2.82) Acct: 4.27 (4.23) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0020
[11-27 06:54:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 82/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.35 Lm: 6.687 (6.715) Lt: 5.951 (5.991) Accm: 2.94 (2.84) Acct: 4.70 (4.47) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0018
[11-27 06:54:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:47 (0.388 s / it)
[11-27 06:54:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:47 (0.388 s / it)
[11-27 06:54:00] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 82/350] Total time: 0:10:47 (0.388 s / it)
[11-27 06:54:00] (/home/user/VAR/train.py , line 279)=> [ep82] (training ) Lm: 6.717 (6.717), Lt: 5.984 (5.984), Acc m&t: 2.84 4.49, Remain: 1 day, 23:54:46, Finish: 2024-11-28 14:48
[11-27 06:54:00] (/home/user/VAR/train.py , line 279)=> [ep82] (training ) Lm: 6.717 (6.717), Lt: 5.984 (5.984), Acc m&t: 2.84 4.49, Remain: 1 day, 23:54:26, Finish: 2024-11-28 14:48
[11-27 06:54:00] (/home/user/VAR/train.py , line 279)=> [ep82] (training ) Lm: 6.717 (6.717), Lt: 5.984 (5.984), Acc m&t: 2.84 4.49, Remain: 1 day, 23:53:47, Finish: 2024-11-28 14:47
[11-27 06:54:00] (/home/user/VAR/train.py , line 279)=> [ep82] (training ) Lm: 6.717 (6.717), Lt: 5.984 (5.984), Acc m&t: 2.84 4.49, Remain: 1 day, 23:55:31, Finish: 2024-11-28 14:49
[11-27 06:54:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:37 tlr: 0.0002 tnm: 0.32 Lm: 6.642 (6.642) Lt: 5.998 (5.998) Accm: 2.78 (2.78) Acct: 4.15 (4.15) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0004
[11-27 06:54:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:30 tlr: 0.0002 tnm: 0.32 Lm: 6.525 (6.525) Lt: 5.733 (5.733) Accm: 3.32 (3.32) Acct: 5.32 (5.32) proj_loss: 0.0000 (0.0000) time: 0.3776 data: 0.0004
[11-27 06:54:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:37 tlr: 0.0002 tnm: 0.32 Lm: 6.771 (6.771) Lt: 6.036 (6.036) Accm: 2.79 (2.79) Acct: 4.61 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3821 data: 0.0004
[11-27 06:54:01] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 0/1669] eta: 0:10:31 tlr: 0.0002 tnm: 0.32 Lm: 6.747 (6.747) Lt: 6.012 (6.012) Accm: 2.81 (2.81) Acct: 4.51 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3785 data: 0.0003
[11-27 06:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.35 Lm: 6.748 (6.748) Lt: 5.975 (5.975) Accm: 2.81 (2.81) Acct: 4.43 (4.43) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 06:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.35 Lm: 6.717 (6.717) Lt: 6.004 (6.004) Accm: 2.76 (2.76) Acct: 4.21 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 06:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.35 Lm: 6.786 (6.786) Lt: 6.108 (6.108) Accm: 2.56 (2.56) Acct: 4.09 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 06:56:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.35 Lm: 6.665 (6.665) Lt: 5.971 (5.971) Accm: 2.69 (2.69) Acct: 4.14 (4.14) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 06:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.32 Lm: 6.687 (6.674) Lt: 5.970 (5.971) Accm: 2.78 (2.86) Acct: 4.15 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3845 data: 0.0002
[11-27 06:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.32 Lm: 6.711 (6.715) Lt: 5.975 (5.994) Accm: 2.93 (2.81) Acct: 4.70 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3845 data: 0.0002
[11-27 06:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.32 Lm: 6.747 (6.739) Lt: 5.990 (5.980) Accm: 2.81 (2.82) Acct: 4.51 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3845 data: 0.0002
[11-27 06:59:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.32 Lm: 6.771 (6.754) Lt: 6.036 (6.044) Accm: 2.79 (2.68) Acct: 4.61 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002
[11-27 07:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.33 Lm: 6.731 (6.709) Lt: 5.976 (5.991) Accm: 2.86 (2.84) Acct: 4.67 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.33 Lm: 6.755 (6.736) Lt: 6.028 (6.016) Accm: 2.85 (2.80) Acct: 4.61 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.33 Lm: 6.665 (6.663) Lt: 5.958 (5.939) Accm: 2.86 (2.88) Acct: 4.41 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:02:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.33 Lm: 6.748 (6.769) Lt: 6.001 (6.035) Accm: 2.81 (2.76) Acct: 4.43 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:04:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.749 (6.778) Lt: 6.012 (6.059) Accm: 2.80 (2.73) Acct: 4.36 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0018
[11-27 07:04:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:04:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.737 (6.714) Lt: 6.017 (5.996) Accm: 2.79 (2.79) Acct: 4.61 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0015
[11-27 07:04:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.764 (6.741) Lt: 6.028 (6.018) Accm: 2.78 (2.78) Acct: 4.51 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0017
[11-27 07:04:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 83/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.642 (6.638) Lt: 5.945 (5.899) Accm: 2.94 (2.99) Acct: 4.67 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0022
[11-27 07:04:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:04:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:04:39] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 83/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:04:39] (/home/user/VAR/train.py , line 279)=> [ep83] (training ) Lm: 6.717 (6.719), Lt: 5.984 (5.987), Acc m&t: 2.84 4.49, Remain: 1 day, 23:37:27, Finish: 2024-11-28 14:42
[11-27 07:04:39] (/home/user/VAR/train.py , line 279)=> [ep83] (training ) Lm: 6.717 (6.719), Lt: 5.984 (5.987), Acc m&t: 2.84 4.49, Remain: 1 day, 23:36:32, Finish: 2024-11-28 14:41
[11-27 07:04:39] (/home/user/VAR/train.py , line 279)=> [ep83] (training ) Lm: 6.717 (6.719), Lt: 5.984 (5.987), Acc m&t: 2.84 4.49, Remain: 1 day, 23:37:43, Finish: 2024-11-28 14:42
[11-27 07:04:39] (/home/user/VAR/train.py , line 279)=> [ep83] (training ) Lm: 6.717 (6.719), Lt: 5.984 (5.987), Acc m&t: 2.84 4.49, Remain: 1 day, 23:38:00, Finish: 2024-11-28 14:42
[11-27 07:04:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:29 tlr: 0.0002 tnm: 0.35 Lm: 6.649 (6.649) Lt: 5.981 (5.981) Accm: 2.84 (2.84) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3773 data: 0.0003
[11-27 07:04:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:28 tlr: 0.0002 tnm: 0.35 Lm: 6.796 (6.796) Lt: 6.078 (6.078) Accm: 2.66 (2.66) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3767 data: 0.0004
[11-27 07:04:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:32 tlr: 0.0002 tnm: 0.35 Lm: 6.574 (6.574) Lt: 5.778 (5.778) Accm: 3.42 (3.42) Acct: 5.60 (5.60) proj_loss: 0.0000 (0.0000) time: 0.3790 data: 0.0004
[11-27 07:04:40] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 0/1669] eta: 0:10:29 tlr: 0.0002 tnm: 0.35 Lm: 6.806 (6.806) Lt: 6.074 (6.074) Accm: 2.46 (2.46) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3772 data: 0.0003
[11-27 07:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.35 Lm: 6.742 (6.742) Lt: 5.999 (5.999) Accm: 2.72 (2.72) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.35 Lm: 6.736 (6.736) Lt: 5.992 (5.992) Accm: 2.90 (2.90) Acct: 4.44 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.35 Lm: 6.676 (6.676) Lt: 5.960 (5.960) Accm: 2.79 (2.79) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:07:20] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 417/1669] eta: 0:07:59 tlr: 0.0002 tnm: 0.35 Lm: 6.626 (6.626) Lt: 5.866 (5.866) Accm: 3.20 (3.20) Acct: 5.11 (5.11) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0003
[11-27 07:09:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.31 Lm: 6.686 (6.723) Lt: 5.941 (5.980) Accm: 2.94 (2.79) Acct: 4.65 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0002
[11-27 07:09:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.31 Lm: 6.677 (6.710) Lt: 5.927 (5.970) Accm: 2.93 (2.91) Acct: 4.77 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0002
[11-27 07:09:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.31 Lm: 6.703 (6.753) Lt: 5.981 (6.028) Accm: 2.75 (2.65) Acct: 4.24 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0002
[11-27 07:09:59] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [ 834/1669] eta: 0:05:19 tlr: 0.0002 tnm: 0.31 Lm: 6.677 (6.678) Lt: 5.954 (5.909) Accm: 2.99 (2.96) Acct: 4.63 (4.79) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 07:12:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.32 Lm: 6.653 (6.666) Lt: 5.923 (5.905) Accm: 2.83 (2.89) Acct: 4.38 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 07:12:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.32 Lm: 6.730 (6.736) Lt: 6.008 (6.007) Accm: 2.86 (2.79) Acct: 4.47 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 07:12:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.32 Lm: 6.684 (6.705) Lt: 5.961 (5.976) Accm: 2.90 (2.90) Acct: 4.64 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 07:12:39] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1251/1669] eta: 0:02:40 tlr: 0.0002 tnm: 0.32 Lm: 6.757 (6.768) Lt: 6.037 (6.044) Accm: 2.59 (2.60) Acct: 4.07 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.812 (6.791) Lt: 6.093 (6.080) Accm: 2.55 (2.59) Acct: 4.12 (4.10) proj_loss: 0.0000 (0.0000) time: 0.3861 data: 0.0019
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.692 (6.732) Lt: 5.995 (6.006) Accm: 2.86 (2.86) Acct: 4.51 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3861 data: 0.0016
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.686 (6.724) Lt: 5.975 (6.000) Accm: 2.91 (2.82) Acct: 4.42 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3861 data: 0.0016
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 84/350] [1668/1669] eta: 0:00:00 tlr: 0.0002 tnm: 0.31 Lm: 6.633 (6.659) Lt: 5.903 (5.905) Accm: 2.99 (2.96) Acct: 4.63 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3861 data: 0.0016
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 84/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:15:19] (/home/user/VAR/train.py , line 279)=> [ep84] (training ) Lm: 6.717 (6.722), Lt: 5.984 (5.995), Acc m&t: 2.84 4.49, Remain: 1 day, 23:32:41, Finish: 2024-11-28 14:48
[11-27 07:15:19] (/home/user/VAR/train.py , line 279)=> [ep84] (training ) Lm: 6.717 (6.722), Lt: 5.984 (5.995), Acc m&t: 2.84 4.49, Remain: 1 day, 23:31:19, Finish: 2024-11-28 14:46
[11-27 07:15:19] (/home/user/VAR/train.py , line 279)=> [ep84] (training ) Lm: 6.717 (6.722), Lt: 5.984 (5.995), Acc m&t: 2.84 4.49, Remain: 1 day, 23:31:44, Finish: 2024-11-28 14:47
[11-27 07:15:19] (/home/user/VAR/train.py , line 279)=> [ep84] (training ) Lm: 6.717 (6.722), Lt: 5.984 (5.995), Acc m&t: 2.84 4.49, Remain: 1 day, 23:32:02, Finish: 2024-11-28 14:47
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:10:32 tlr: 0.0002 tnm: 0.34 Lm: 6.831 (6.831) Lt: 6.132 (6.132) Accm: 2.47 (2.47) Acct: 3.93 (3.93) proj_loss: 0.0000 (0.0000) time: 0.3791 data: 0.0003
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:10:32 tlr: 0.0002 tnm: 0.34 Lm: 6.855 (6.855) Lt: 6.181 (6.181) Accm: 2.72 (2.72) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3788 data: 0.0004
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:10:32 tlr: 0.0002 tnm: 0.34 Lm: 6.848 (6.848) Lt: 6.113 (6.113) Accm: 2.45 (2.45) Acct: 4.05 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3789 data: 0.0004
[11-27 07:15:19] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 0/1669] eta: 0:10:34 tlr: 0.0002 tnm: 0.34 Lm: 6.805 (6.805) Lt: 6.070 (6.070) Accm: 2.55 (2.55) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0004
[11-27 07:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:08:03 tlr: 0.0002 tnm: 0.34 Lm: 6.649 (6.649) Lt: 5.897 (5.897) Accm: 3.20 (3.20) Acct: 5.28 (5.28) proj_loss: 0.0000 (0.0000) time: 0.4278 data: 0.0002
[11-27 07:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:08:03 tlr: 0.0002 tnm: 0.34 Lm: 6.727 (6.727) Lt: 5.998 (5.998) Accm: 2.83 (2.83) Acct: 4.40 (4.40) proj_loss: 0.0000 (0.0000) time: 0.4277 data: 0.0002
[11-27 07:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:08:03 tlr: 0.0002 tnm: 0.34 Lm: 6.678 (6.678) Lt: 5.944 (5.944) Accm: 2.78 (2.78) Acct: 4.41 (4.41) proj_loss: 0.0000 (0.0000) time: 0.4278 data: 0.0002
[11-27 07:18:00] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 417/1669] eta: 0:08:03 tlr: 0.0002 tnm: 0.34 Lm: 6.816 (6.816) Lt: 6.090 (6.090) Accm: 2.52 (2.52) Acct: 4.14 (4.14) proj_loss: 0.0000 (0.0000) time: 0.4278 data: 0.0003
[11-27 07:20:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:34 tlr: 0.0002 tnm: 0.32 Lm: 6.800 (6.782) Lt: 6.048 (6.047) Accm: 2.58 (2.58) Acct: 4.12 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002
[11-27 07:20:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:34 tlr: 0.0002 tnm: 0.32 Lm: 6.815 (6.723) Lt: 6.045 (5.977) Accm: 2.49 (2.68) Acct: 4.13 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002
[11-27 07:20:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:34 tlr: 0.0002 tnm: 0.32 Lm: 6.696 (6.717) Lt: 5.998 (5.998) Accm: 2.94 (2.92) Acct: 4.63 (4.59) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002
[11-27 07:20:54] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [ 834/1669] eta: 0:05:34 tlr: 0.0002 tnm: 0.32 Lm: 6.718 (6.672) Lt: 6.022 (5.939) Accm: 2.69 (3.03) Acct: 4.34 (4.95) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002
[11-27 07:23:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:45 tlr: 0.0002 tnm: 0.31 Lm: 6.725 (6.687) Lt: 6.003 (5.950) Accm: 2.82 (3.01) Acct: 4.49 (4.87) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 07:23:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:45 tlr: 0.0002 tnm: 0.31 Lm: 6.774 (6.726) Lt: 6.012 (5.978) Accm: 2.65 (2.71) Acct: 4.35 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 07:23:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:45 tlr: 0.0002 tnm: 0.31 Lm: 6.816 (6.800) Lt: 6.070 (6.058) Accm: 2.52 (2.54) Acct: 4.18 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 07:23:34] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1251/1669] eta: 0:02:45 tlr: 0.0002 tnm: 0.31 Lm: 6.694 (6.711) Lt: 5.996 (5.997) Accm: 2.95 (2.93) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 07:26:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.696 (6.727) Lt: 5.998 (6.014) Accm: 2.94 (2.85) Acct: 4.46 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0019
[11-27 07:26:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:54 (0.392 s / it)
[11-27 07:26:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.731 (6.731) Lt: 6.022 (6.009) Accm: 2.69 (2.92) Acct: 4.34 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0015
[11-27 07:26:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.734 (6.721) Lt: 5.978 (5.971) Accm: 2.63 (2.70) Acct: 4.20 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0016
[11-27 07:26:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 85/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.800 (6.756) Lt: 6.048 (6.016) Accm: 2.58 (2.69) Acct: 4.24 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0016
[11-27 07:26:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:54 (0.392 s / it)
[11-27 07:26:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:54 (0.392 s / it)
[11-27 07:26:13] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 85/350] Total time: 0:10:54 (0.392 s / it)
[11-27 07:26:13] (/home/user/VAR/train.py , line 279)=> [ep85] (training ) Lm: 6.717 (6.724), Lt: 5.984 (5.994), Acc m&t: 2.84 4.49, Remain: 1 day, 23:10:01, Finish: 2024-11-28 14:36
[11-27 07:26:13] (/home/user/VAR/train.py , line 279)=> [ep85] (training ) Lm: 6.717 (6.724), Lt: 5.984 (5.994), Acc m&t: 2.84 4.49, Remain: 1 day, 23:11:46, Finish: 2024-11-28 14:38
[11-27 07:26:13] (/home/user/VAR/train.py , line 279)=> [ep85] (training ) Lm: 6.717 (6.724), Lt: 5.984 (5.994), Acc m&t: 2.84 4.49, Remain: 1 day, 23:11:09, Finish: 2024-11-28 14:37
[11-27 07:26:13] (/home/user/VAR/train.py , line 279)=> [ep85] (training ) Lm: 6.717 (6.724), Lt: 5.984 (5.994), Acc m&t: 2.84 4.49, Remain: 1 day, 23:11:50, Finish: 2024-11-28 14:38
[11-27 07:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:10:33 tlr: 0.00019 tnm: 0.31 Lm: 6.529 (6.529) Lt: 5.759 (5.759) Accm: 3.30 (3.30) Acct: 5.44 (5.44) proj_loss: 0.0000 (0.0000) time: 0.3798 data: 0.0003
[11-27 07:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:10:34 tlr: 0.00019 tnm: 0.31 Lm: 6.614 (6.614) Lt: 5.867 (5.867) Accm: 3.21 (3.21) Acct: 4.98 (4.98) proj_loss: 0.0000 (0.0000) time: 0.3802 data: 0.0004
[11-27 07:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:10:27 tlr: 0.00019 tnm: 0.31 Lm: 6.776 (6.776) Lt: 6.034 (6.034) Accm: 2.67 (2.67) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3757 data: 0.0004
[11-27 07:26:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 0/1669] eta: 0:10:35 tlr: 0.00019 tnm: 0.31 Lm: 6.687 (6.687) Lt: 5.947 (5.947) Accm: 2.81 (2.81) Acct: 4.39 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3806 data: 0.0003
[11-27 07:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:07:58 tlr: 0.00019 tnm: 0.39 Lm: 6.754 (6.754) Lt: 6.043 (6.043) Accm: 2.75 (2.75) Acct: 4.22 (4.22) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 07:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:07:58 tlr: 0.00019 tnm: 0.39 Lm: 6.689 (6.689) Lt: 5.947 (5.947) Accm: 3.02 (3.02) Acct: 4.78 (4.78) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 07:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:07:58 tlr: 0.00019 tnm: 0.39 Lm: 6.720 (6.720) Lt: 5.968 (5.968) Accm: 2.83 (2.83) Acct: 4.50 (4.50) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 07:28:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 417/1669] eta: 0:07:58 tlr: 0.00019 tnm: 0.39 Lm: 6.640 (6.640) Lt: 5.914 (5.914) Accm: 3.02 (3.02) Acct: 4.92 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0002
[11-27 07:31:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.32 Lm: 6.664 (6.648) Lt: 5.916 (5.914) Accm: 2.82 (2.95) Acct: 4.65 (4.83) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 07:31:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.32 Lm: 6.822 (6.805) Lt: 6.138 (6.089) Accm: 2.70 (2.57) Acct: 4.05 (4.03) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 07:31:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.32 Lm: 6.739 (6.706) Lt: 6.026 (5.980) Accm: 2.83 (2.94) Acct: 4.58 (4.50) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 07:31:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.32 Lm: 6.776 (6.753) Lt: 6.034 (6.009) Accm: 2.67 (2.77) Acct: 4.29 (4.43) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 07:34:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.33 Lm: 6.796 (6.769) Lt: 6.062 (6.049) Accm: 2.65 (2.70) Acct: 4.23 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 07:34:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.33 Lm: 6.677 (6.682) Lt: 5.947 (5.941) Accm: 3.01 (3.00) Acct: 4.78 (4.64) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 07:34:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.33 Lm: 6.754 (6.762) Lt: 6.043 (6.036) Accm: 2.75 (2.64) Acct: 4.22 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 07:34:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.33 Lm: 6.678 (6.659) Lt: 5.949 (5.931) Accm: 2.94 (2.98) Acct: 4.58 (4.75) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.664 (6.641) Lt: 5.916 (5.907) Accm: 3.06 (3.04) Acct: 4.65 (4.89) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0015
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.822 (6.789) Lt: 6.138 (6.067) Accm: 2.70 (2.56) Acct: 4.05 (4.11) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0018
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.776 (6.767) Lt: 6.034 (6.045) Accm: 2.67 (2.73) Acct: 4.29 (4.33) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0015
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 86/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.739 (6.705) Lt: 6.026 (5.972) Accm: 2.83 (2.94) Acct: 4.58 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0014
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 86/350] Total time: 0:10:39 (0.383 s / it)
[11-27 07:36:53] (/home/user/VAR/train.py , line 279)=> [ep86] (training ) Lm: 6.717 (6.719), Lt: 5.984 (5.991), Acc m&t: 2.84 4.49, Remain: 1 day, 23:08:13, Finish: 2024-11-28 14:45
[11-27 07:36:53] (/home/user/VAR/train.py , line 279)=> [ep86] (training ) Lm: 6.717 (6.719), Lt: 5.984 (5.991), Acc m&t: 2.84 4.49, Remain: 1 day, 23:08:01, Finish: 2024-11-28 14:44
[11-27 07:36:53] (/home/user/VAR/train.py , line 279)=> [ep86] (training ) Lm: 6.717 (6.719), Lt: 5.984 (5.991), Acc m&t: 2.84 4.49, Remain: 1 day, 23:07:23, Finish: 2024-11-28 14:44
[11-27 07:36:53] (/home/user/VAR/train.py , line 279)=> [ep86] (training ) Lm: 6.717 (6.719), Lt: 5.984 (5.991), Acc m&t: 2.84 4.49, Remain: 1 day, 23:08:02, Finish: 2024-11-28 14:44
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:10:35 tlr: 0.00019 tnm: 0.35 Lm: 6.676 (6.676) Lt: 5.943 (5.943) Accm: 2.77 (2.77) Acct: 4.25 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3807 data: 0.0003
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:10:36 tlr: 0.00019 tnm: 0.35 Lm: 6.819 (6.819) Lt: 6.087 (6.087) Accm: 2.37 (2.37) Acct: 3.70 (3.70) proj_loss: 0.0000 (0.0000) time: 0.3811 data: 0.0005
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:10:31 tlr: 0.00019 tnm: 0.35 Lm: 6.749 (6.749) Lt: 6.037 (6.037) Accm: 2.81 (2.81) Acct: 4.32 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3785 data: 0.0004
[11-27 07:36:53] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 0/1669] eta: 0:10:28 tlr: 0.00019 tnm: 0.35 Lm: 6.713 (6.713) Lt: 6.022 (6.022) Accm: 3.06 (3.06) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3765 data: 0.0004
[11-27 07:39:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.34 Lm: 6.759 (6.759) Lt: 6.051 (6.051) Accm: 2.74 (2.74) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0003
[11-27 07:39:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.34 Lm: 6.810 (6.810) Lt: 6.087 (6.087) Accm: 2.52 (2.52) Acct: 3.91 (3.91) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 07:39:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.34 Lm: 6.716 (6.716) Lt: 5.989 (5.989) Accm: 2.75 (2.75) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 07:39:33] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.34 Lm: 6.682 (6.682) Lt: 5.963 (5.963) Accm: 2.76 (2.76) Acct: 4.26 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3825 data: 0.0002
[11-27 07:42:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.33 Lm: 6.743 (6.702) Lt: 6.035 (5.987) Accm: 2.72 (2.69) Acct: 4.20 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0002
[11-27 07:42:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.33 Lm: 6.801 (6.724) Lt: 6.087 (5.976) Accm: 2.66 (2.75) Acct: 4.12 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0002
[11-27 07:42:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.33 Lm: 6.707 (6.713) Lt: 5.959 (5.979) Accm: 2.77 (2.85) Acct: 4.34 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0002
[11-27 07:42:13] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.33 Lm: 6.713 (6.704) Lt: 6.022 (5.972) Accm: 3.06 (2.91) Acct: 4.53 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3842 data: 0.0003
[11-27 07:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.750 (6.725) Lt: 6.039 (5.993) Accm: 2.86 (2.85) Acct: 4.50 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0003
[11-27 07:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.732 (6.755) Lt: 5.997 (6.026) Accm: 2.75 (2.76) Acct: 4.30 (4.36) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 07:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.730 (6.708) Lt: 5.975 (5.948) Accm: 2.94 (2.87) Acct: 4.56 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0002
[11-27 07:44:52] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.746 (6.726) Lt: 6.036 (6.005) Accm: 2.72 (2.70) Acct: 4.23 (4.19) proj_loss: 0.0000 (0.0000) time: 0.3836 data: 0.0002
[11-27 07:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.749 (6.737) Lt: 6.035 (6.007) Accm: 2.72 (2.69) Acct: 4.25 (4.23) proj_loss: 0.0000 (0.0000) time: 0.3866 data: 0.0019
[11-27 07:47:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:57 (0.394 s / it)
[11-27 07:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.757 (6.760) Lt: 6.020 (6.025) Accm: 2.72 (2.71) Acct: 4.25 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3866 data: 0.0014
[11-27 07:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.730 (6.726) Lt: 6.022 (5.994) Accm: 2.76 (2.83) Acct: 4.48 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3866 data: 0.0017
[11-27 07:47:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 87/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.684 (6.703) Lt: 5.874 (5.933) Accm: 2.76 (2.85) Acct: 4.58 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3866 data: 0.0015
[11-27 07:47:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:57 (0.394 s / it)
[11-27 07:47:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:57 (0.394 s / it)
[11-27 07:47:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 87/350] Total time: 0:10:57 (0.394 s / it)
[11-27 07:47:50] (/home/user/VAR/train.py , line 279)=> [ep87] (training ) Lm: 6.714 (6.714), Lt: 5.984 (5.986), Acc m&t: 2.84 4.49, Remain: 1 day, 22:56:25, Finish: 2024-11-28 14:44
[11-27 07:47:50] (/home/user/VAR/train.py , line 279)=> [ep87] (training ) Lm: 6.714 (6.714), Lt: 5.984 (5.986), Acc m&t: 2.84 4.49, Remain: 1 day, 22:58:06, Finish: 2024-11-28 14:45
[11-27 07:47:50] (/home/user/VAR/train.py , line 279)=> [ep87] (training ) Lm: 6.714 (6.714), Lt: 5.984 (5.986), Acc m&t: 2.84 4.49, Remain: 1 day, 22:58:13, Finish: 2024-11-28 14:46
[11-27 07:47:50] (/home/user/VAR/train.py , line 279)=> [ep87] (training ) Lm: 6.714 (6.714), Lt: 5.984 (5.986), Acc m&t: 2.84 4.49, Remain: 1 day, 22:58:36, Finish: 2024-11-28 14:46
[11-27 07:47:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:10:28 tlr: 0.00019 tnm: 0.33 Lm: 6.740 (6.740) Lt: 5.972 (5.972) Accm: 2.91 (2.91) Acct: 4.92 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3768 data: 0.0003
[11-27 07:47:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:10:27 tlr: 0.00019 tnm: 0.33 Lm: 6.575 (6.575) Lt: 5.875 (5.875) Accm: 3.27 (3.27) Acct: 4.65 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3762 data: 0.0004
[11-27 07:47:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:10:27 tlr: 0.00019 tnm: 0.33 Lm: 6.764 (6.764) Lt: 6.024 (6.024) Accm: 2.72 (2.72) Acct: 4.27 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3762 data: 0.0004
[11-27 07:47:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 0/1669] eta: 0:10:28 tlr: 0.00019 tnm: 0.33 Lm: 6.800 (6.800) Lt: 6.050 (6.050) Accm: 2.70 (2.70) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3767 data: 0.0003
[11-27 07:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.32 Lm: 6.653 (6.653) Lt: 5.887 (5.887) Accm: 2.95 (2.95) Acct: 4.75 (4.75) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0002
[11-27 07:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.32 Lm: 6.760 (6.760) Lt: 6.026 (6.026) Accm: 2.71 (2.71) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 07:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.32 Lm: 6.713 (6.713) Lt: 5.981 (5.981) Accm: 2.91 (2.91) Acct: 4.71 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0002
[11-27 07:50:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.32 Lm: 6.744 (6.744) Lt: 6.060 (6.060) Accm: 2.83 (2.83) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3832 data: 0.0003
[11-27 07:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.32 Lm: 6.596 (6.695) Lt: 5.906 (6.009) Accm: 2.90 (2.85) Acct: 4.44 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0002
[11-27 07:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.32 Lm: 6.737 (6.681) Lt: 5.983 (5.919) Accm: 2.78 (2.90) Acct: 4.73 (4.75) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0002
[11-27 07:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.32 Lm: 6.757 (6.737) Lt: 6.024 (5.990) Accm: 2.72 (2.80) Acct: 4.27 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0002
[11-27 07:53:10] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [ 834/1669] eta: 0:05:19 tlr: 0.00019 tnm: 0.32 Lm: 6.700 (6.709) Lt: 5.991 (5.995) Accm: 2.91 (2.88) Acct: 4.49 (4.59) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0002
[11-27 07:55:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.694 (6.698) Lt: 5.981 (5.971) Accm: 2.91 (2.94) Acct: 4.64 (4.64) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:55:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.760 (6.759) Lt: 6.026 (6.043) Accm: 2.71 (2.72) Acct: 4.17 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:55:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.767 (6.710) Lt: 6.017 (5.962) Accm: 2.74 (2.80) Acct: 4.54 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:55:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.602 (6.673) Lt: 5.901 (5.981) Accm: 3.08 (2.96) Acct: 4.55 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3830 data: 0.0002
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.607 (6.666) Lt: 5.896 (5.950) Accm: 3.09 (2.98) Acct: 4.65 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0020
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:40 (0.383 s / it)
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.757 (6.735) Lt: 6.024 (6.013) Accm: 2.72 (2.78) Acct: 4.27 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0018
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.737 (6.686) Lt: 5.983 (5.939) Accm: 2.78 (2.88) Acct: 4.73 (4.72) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0015
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 88/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.690 (6.696) Lt: 5.972 (5.969) Accm: 2.91 (2.96) Acct: 4.79 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3852 data: 0.0017
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:40 (0.383 s / it)
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:40 (0.383 s / it)
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 88/350] Total time: 0:10:40 (0.383 s / it)
[11-27 07:58:31] (/home/user/VAR/train.py , line 279)=> [ep88] (training ) Lm: 6.714 (6.718), Lt: 5.984 (5.988), Acc m&t: 2.84 4.49, Remain: 1 day, 22:46:32, Finish: 2024-11-28 14:45
[11-27 07:58:31] (/home/user/VAR/train.py , line 279)=> [ep88] (training ) Lm: 6.714 (6.718), Lt: 5.984 (5.988), Acc m&t: 2.84 4.49, Remain: 1 day, 22:45:28, Finish: 2024-11-28 14:43
[11-27 07:58:31] (/home/user/VAR/train.py , line 279)=> [ep88] (training ) Lm: 6.714 (6.718), Lt: 5.984 (5.988), Acc m&t: 2.84 4.49, Remain: 1 day, 22:46:23, Finish: 2024-11-28 14:44
[11-27 07:58:31] (/home/user/VAR/train.py , line 279)=> [ep88] (training ) Lm: 6.714 (6.718), Lt: 5.984 (5.988), Acc m&t: 2.84 4.49, Remain: 1 day, 22:46:14, Finish: 2024-11-28 14:44
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:10:27 tlr: 0.00019 tnm: 0.34 Lm: 6.781 (6.781) Lt: 6.110 (6.110) Accm: 2.55 (2.55) Acct: 4.12 (4.12) proj_loss: 0.0000 (0.0000) time: 0.3761 data: 0.0004
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:10:27 tlr: 0.00019 tnm: 0.34 Lm: 6.745 (6.745) Lt: 6.025 (6.025) Accm: 2.70 (2.70) Acct: 4.13 (4.13) proj_loss: 0.0000 (0.0000) time: 0.3760 data: 0.0003
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:10:26 tlr: 0.00019 tnm: 0.34 Lm: 6.772 (6.772) Lt: 6.046 (6.046) Accm: 3.03 (3.03) Acct: 4.96 (4.96) proj_loss: 0.0000 (0.0000) time: 0.3755 data: 0.0004
[11-27 07:58:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 0/1669] eta: 0:10:27 tlr: 0.00019 tnm: 0.34 Lm: 6.622 (6.622) Lt: 5.837 (5.837) Accm: 3.15 (3.15) Acct: 5.18 (5.18) proj_loss: 0.0000 (0.0000) time: 0.3760 data: 0.0004
[11-27 08:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.33 Lm: 6.632 (6.632) Lt: 5.868 (5.868) Accm: 3.06 (3.06) Acct: 4.92 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0002
[11-27 08:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.33 Lm: 6.751 (6.751) Lt: 6.011 (6.011) Accm: 2.87 (2.87) Acct: 4.57 (4.57) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0002
[11-27 08:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.33 Lm: 6.726 (6.726) Lt: 6.024 (6.024) Accm: 2.69 (2.69) Acct: 4.32 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 08:01:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.33 Lm: 6.659 (6.659) Lt: 5.936 (5.936) Accm: 2.96 (2.96) Acct: 4.72 (4.72) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0002
[11-27 08:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.34 Lm: 6.633 (6.650) Lt: 5.859 (5.910) Accm: 3.23 (3.08) Acct: 5.22 (4.88) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0002
[11-27 08:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.34 Lm: 6.622 (6.621) Lt: 5.868 (5.868) Accm: 3.15 (3.11) Acct: 5.15 (4.99) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0002
[11-27 08:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.34 Lm: 6.731 (6.713) Lt: 5.975 (5.983) Accm: 3.03 (2.99) Acct: 4.67 (4.60) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0002
[11-27 08:03:51] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.34 Lm: 6.775 (6.742) Lt: 6.100 (6.049) Accm: 2.83 (2.74) Acct: 4.22 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3828 data: 0.0003
[11-27 08:06:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.723 (6.715) Lt: 6.019 (6.009) Accm: 2.83 (2.79) Acct: 4.30 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0002
[11-27 08:06:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.632 (6.685) Lt: 5.884 (5.927) Accm: 3.06 (2.88) Acct: 4.90 (4.64) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0002
[11-27 08:06:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.689 (6.682) Lt: 5.942 (5.949) Accm: 2.96 (2.95) Acct: 4.70 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0002
[11-27 08:06:31] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.725 (6.715) Lt: 5.994 (5.990) Accm: 3.02 (2.99) Acct: 4.55 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3835 data: 0.0002
[11-27 08:09:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.718 (6.687) Lt: 5.975 (5.946) Accm: 3.03 (3.04) Acct: 4.67 (4.67) proj_loss: 0.0000 (0.0000) time: 0.3855 data: 0.0022
[11-27 08:09:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:40 (0.384 s / it)
[11-27 08:09:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.671 (6.701) Lt: 5.939 (5.981) Accm: 2.83 (2.87) Acct: 4.37 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3855 data: 0.0018
[11-27 08:09:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.630 (6.674) Lt: 5.900 (5.925) Accm: 3.08 (2.92) Acct: 5.01 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3855 data: 0.0015
[11-27 08:09:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 89/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.685 (6.682) Lt: 5.924 (5.944) Accm: 2.70 (2.87) Acct: 4.18 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3855 data: 0.0015
[11-27 08:09:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:40 (0.384 s / it)
[11-27 08:09:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:40 (0.384 s / it)
[11-27 08:09:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 89/350] Total time: 0:10:40 (0.384 s / it)
[11-27 08:14:19] (home/user/VAR/trainer.py, line 114)=> FID: 4.816588204394634
[11-27 08:14:19] (/home/user/VAR/train.py , line 262)=> [*] [ep89] (val 50000) Lm: 6.6893, Lt: 5.9572, Acc m&t: 2.89 4.56, Val cost: 307.79s
[11-27 08:14:19] (/home/user/VAR/train.py , line 267)=> [saving ckpt] ... [saving ckpt](*) finished! @ /sensei-fs/users/xiangl/exp141-var-d20-no-ali/ar-ckpt-last.pth
[11-27 08:14:45] (/home/user/VAR/train.py , line 279)=> [ep89] (training ) Lm: 6.689 (6.689), Lt: 5.957 (5.957), Acc m&t: 2.89 4.56, Remain: 1 day, 22:35:37, Finish: 2024-11-28 14:44
[11-27 08:14:45] (/home/user/VAR/train.py , line 279)=> [ep89] (training ) Lm: 6.689 (6.689), Lt: 5.957 (5.957), Acc m&t: 2.89 4.56, Remain: 1 day, 22:34:18, Finish: 2024-11-28 14:43
[11-27 08:14:45] (/home/user/VAR/train.py , line 279)=> [ep89] (training ) Lm: 6.689 (6.689), Lt: 5.957 (5.957), Acc m&t: 2.89 4.56, Remain: 1 day, 22:34:38, Finish: 2024-11-28 14:43
[11-27 08:14:45] (/home/user/VAR/train.py , line 279)=> [ep89] (training ) Lm: 6.689 (6.689), Lt: 5.957 (5.957), Acc m&t: 2.89 4.56, Remain: 1 day, 22:33:49, Finish: 2024-11-28 14:43
[11-27 08:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:11:06 tlr: 0.00019 tnm: 0.33 Lm: 6.677 (6.677) Lt: 5.919 (5.919) Accm: 2.85 (2.85) Acct: 4.46 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3996 data: 0.0004
[11-27 08:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:11:06 tlr: 0.00019 tnm: 0.33 Lm: 6.687 (6.687) Lt: 5.965 (5.965) Accm: 2.86 (2.86) Acct: 4.56 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3995 data: 0.0004
[11-27 08:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:11:06 tlr: 0.00019 tnm: 0.33 Lm: 6.769 (6.769) Lt: 6.013 (6.013) Accm: 2.73 (2.73) Acct: 4.36 (4.36) proj_loss: 0.0000 (0.0000) time: 0.3995 data: 0.0004
[11-27 08:14:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 0/1669] eta: 0:11:05 tlr: 0.00019 tnm: 0.33 Lm: 6.683 (6.683) Lt: 5.921 (5.921) Accm: 2.76 (2.76) Acct: 4.53 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3990 data: 0.0004
[11-27 08:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.32 Lm: 6.650 (6.650) Lt: 5.942 (5.942) Accm: 2.88 (2.88) Acct: 4.43 (4.43) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 08:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.32 Lm: 6.652 (6.652) Lt: 5.938 (5.938) Accm: 3.06 (3.06) Acct: 4.95 (4.95) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 08:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.32 Lm: 6.767 (6.767) Lt: 6.029 (6.029) Accm: 2.63 (2.63) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 08:17:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 417/1669] eta: 0:07:59 tlr: 0.00019 tnm: 0.32 Lm: 6.719 (6.719) Lt: 5.975 (5.975) Accm: 2.60 (2.60) Acct: 4.17 (4.17) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0002
[11-27 08:20:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.32 Lm: 6.762 (6.736) Lt: 6.031 (6.018) Accm: 2.81 (2.67) Acct: 4.46 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0003
[11-27 08:20:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.32 Lm: 6.687 (6.700) Lt: 5.965 (5.989) Accm: 2.86 (2.97) Acct: 4.65 (4.85) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0002
[11-27 08:20:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.32 Lm: 6.769 (6.796) Lt: 6.044 (6.077) Accm: 2.53 (2.51) Acct: 3.99 (3.95) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0002
[11-27 08:20:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.32 Lm: 6.681 (6.660) Lt: 5.953 (5.946) Accm: 2.98 (2.92) Acct: 4.53 (4.48) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0003
[11-27 08:22:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.34 Lm: 6.682 (6.690) Lt: 5.958 (5.982) Accm: 2.92 (2.90) Acct: 4.45 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3858 data: 0.0002
[11-27 08:22:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.34 Lm: 6.681 (6.694) Lt: 5.938 (5.957) Accm: 2.89 (2.96) Acct: 4.76 (4.86) proj_loss: 0.0000 (0.0000) time: 0.3858 data: 0.0002
[11-27 08:22:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.34 Lm: 6.767 (6.788) Lt: 6.029 (6.057) Accm: 2.63 (2.58) Acct: 4.18 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3858 data: 0.0002
[11-27 08:22:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.34 Lm: 6.746 (6.734) Lt: 6.018 (6.014) Accm: 2.78 (2.69) Acct: 4.44 (4.32) proj_loss: 0.0000 (0.0000) time: 0.3858 data: 0.0002
[11-27 08:25:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.730 (6.713) Lt: 6.004 (5.992) Accm: 2.81 (2.76) Acct: 4.46 (4.38) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0018
[11-27 08:25:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:40 (0.384 s / it)
[11-27 08:25:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.766 (6.768) Lt: 6.013 (6.028) Accm: 2.73 (2.66) Acct: 4.36 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0017
[11-27 08:25:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.676 (6.661) Lt: 5.910 (5.923) Accm: 2.92 (3.00) Acct: 4.73 (4.83) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0015
[11-27 08:25:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 90/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.32 Lm: 6.683 (6.712) Lt: 5.963 (6.001) Accm: 2.86 (2.84) Acct: 4.37 (4.43) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0021
[11-27 08:25:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:40 (0.384 s / it)
[11-27 08:25:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:40 (0.384 s / it)
[11-27 08:25:25] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 90/350] Total time: 0:10:40 (0.384 s / it)
[11-27 08:25:25] (/home/user/VAR/train.py , line 279)=> [ep90] (training ) Lm: 6.689 (6.717), Lt: 5.957 (5.986), Acc m&t: 2.89 4.56, Remain: 1 day, 22:25:31, Finish: 2024-11-28 14:50
[11-27 08:25:25] (/home/user/VAR/train.py , line 279)=> [ep90] (training ) Lm: 6.689 (6.717), Lt: 5.957 (5.986), Acc m&t: 2.89 4.56, Remain: 1 day, 22:26:30, Finish: 2024-11-28 14:51
[11-27 08:25:25] (/home/user/VAR/train.py , line 279)=> [ep90] (training ) Lm: 6.689 (6.717), Lt: 5.957 (5.986), Acc m&t: 2.89 4.56, Remain: 1 day, 22:25:35, Finish: 2024-11-28 14:51
[11-27 08:25:25] (/home/user/VAR/train.py , line 279)=> [ep90] (training ) Lm: 6.689 (6.717), Lt: 5.957 (5.986), Acc m&t: 2.89 4.56, Remain: 1 day, 22:24:25, Finish: 2024-11-28 14:49
[11-27 08:25:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:11:01 tlr: 0.00019 tnm: 0.33 Lm: 6.556 (6.556) Lt: 5.846 (5.846) Accm: 3.07 (3.07) Acct: 4.65 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3966 data: 0.0003
[11-27 08:25:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:10:19 tlr: 0.00019 tnm: 0.33 Lm: 6.632 (6.632) Lt: 5.895 (5.895) Accm: 3.06 (3.06) Acct: 4.94 (4.94) proj_loss: 0.0000 (0.0000) time: 0.3710 data: 0.0003
[11-27 08:25:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:10:19 tlr: 0.00019 tnm: 0.33 Lm: 6.642 (6.642) Lt: 5.905 (5.905) Accm: 3.02 (3.02) Acct: 4.92 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3711 data: 0.0004
[11-27 08:25:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 0/1669] eta: 0:10:18 tlr: 0.00019 tnm: 0.33 Lm: 6.666 (6.666) Lt: 5.942 (5.942) Accm: 2.82 (2.82) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3706 data: 0.0003
[11-27 08:28:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:08:00 tlr: 0.00019 tnm: 0.31 Lm: 6.721 (6.721) Lt: 5.999 (5.999) Accm: 2.71 (2.71) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0002
[11-27 08:28:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:08:00 tlr: 0.00019 tnm: 0.31 Lm: 6.658 (6.658) Lt: 5.955 (5.955) Accm: 2.79 (2.79) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0003
[11-27 08:28:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:08:00 tlr: 0.00019 tnm: 0.31 Lm: 6.688 (6.688) Lt: 5.977 (5.977) Accm: 2.91 (2.91) Acct: 4.59 (4.59) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0002
[11-27 08:28:06] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 417/1669] eta: 0:08:00 tlr: 0.00019 tnm: 0.31 Lm: 6.735 (6.735) Lt: 5.992 (5.992) Accm: 2.81 (2.81) Acct: 4.46 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3853 data: 0.0003
[11-27 08:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.33 Lm: 6.692 (6.721) Lt: 5.923 (5.969) Accm: 2.97 (2.87) Acct: 4.77 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 08:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.33 Lm: 6.659 (6.658) Lt: 5.925 (5.945) Accm: 3.06 (2.88) Acct: 4.65 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 08:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.33 Lm: 6.642 (6.672) Lt: 5.905 (5.943) Accm: 2.83 (2.88) Acct: 4.68 (4.62) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 08:30:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.33 Lm: 6.666 (6.646) Lt: 5.942 (5.907) Accm: 2.82 (2.97) Acct: 4.34 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 08:33:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.721 (6.699) Lt: 5.999 (5.978) Accm: 2.73 (2.89) Acct: 4.24 (4.49) proj_loss: 0.0000 (0.0000) time: 0.3845 data: 0.0002
[11-27 08:33:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.609 (6.633) Lt: 5.885 (5.911) Accm: 3.06 (2.95) Acct: 4.67 (4.53) proj_loss: 0.0000 (0.0000) time: 0.3845 data: 0.0002
[11-27 08:33:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.645 (6.666) Lt: 5.890 (5.924) Accm: 2.91 (2.91) Acct: 4.79 (4.69) proj_loss: 0.0000 (0.0000) time: 0.3845 data: 0.0003
[11-27 08:33:27] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.724 (6.729) Lt: 5.980 (5.986) Accm: 2.77 (2.78) Acct: 4.37 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3845 data: 0.0002
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.777 (6.719) Lt: 6.025 (5.987) Accm: 2.64 (2.84) Acct: 4.30 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3865 data: 0.0017
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.692 (6.688) Lt: 5.923 (5.942) Accm: 2.97 (2.88) Acct: 4.77 (4.54) proj_loss: 0.0000 (0.0000) time: 0.3865 data: 0.0015
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.648 (6.680) Lt: 5.905 (5.934) Accm: 2.98 (2.92) Acct: 4.73 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3865 data: 0.0022
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 91/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.659 (6.654) Lt: 5.925 (5.929) Accm: 3.06 (2.90) Acct: 4.67 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3865 data: 0.0019
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:41 (0.384 s / it)
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:41 (0.384 s / it)
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:41 (0.384 s / it)
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 91/350] Total time: 0:10:41 (0.384 s / it)
[11-27 08:36:07] (/home/user/VAR/train.py , line 279)=> [ep91] (training ) Lm: 6.689 (6.706), Lt: 5.957 (5.972), Acc m&t: 2.89 4.56, Remain: 1 day, 22:22:08, Finish: 2024-11-28 14:58
[11-27 08:36:07] (/home/user/VAR/train.py , line 279)=> [ep91] (training ) Lm: 6.689 (6.706), Lt: 5.957 (5.972), Acc m&t: 2.89 4.56, Remain: 1 day, 22:22:55, Finish: 2024-11-28 14:59
[11-27 08:36:07] (/home/user/VAR/train.py , line 279)=> [ep91] (training ) Lm: 6.689 (6.706), Lt: 5.957 (5.972), Acc m&t: 2.89 4.56, Remain: 1 day, 22:22:11, Finish: 2024-11-28 14:58
[11-27 08:36:07] (/home/user/VAR/train.py , line 279)=> [ep91] (training ) Lm: 6.689 (6.706), Lt: 5.957 (5.972), Acc m&t: 2.89 4.56, Remain: 1 day, 22:22:06, Finish: 2024-11-28 14:58
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:10:42 tlr: 0.00019 tnm: 0.33 Lm: 6.622 (6.622) Lt: 5.878 (5.878) Accm: 2.94 (2.94) Acct: 4.51 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0004
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:10:25 tlr: 0.00019 tnm: 0.33 Lm: 6.705 (6.705) Lt: 5.949 (5.949) Accm: 2.94 (2.94) Acct: 4.39 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3749 data: 0.0003
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:10:26 tlr: 0.00019 tnm: 0.33 Lm: 6.816 (6.816) Lt: 6.087 (6.087) Accm: 2.54 (2.54) Acct: 3.82 (3.82) proj_loss: 0.0000 (0.0000) time: 0.3752 data: 0.0004
[11-27 08:36:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 0/1669] eta: 0:10:26 tlr: 0.00019 tnm: 0.33 Lm: 6.692 (6.692) Lt: 5.976 (5.976) Accm: 2.79 (2.79) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3752 data: 0.0004
[11-27 08:38:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:08:00 tlr: 0.00019 tnm: 0.33 Lm: 6.728 (6.728) Lt: 5.967 (5.967) Accm: 2.85 (2.85) Acct: 4.51 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 08:38:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:08:00 tlr: 0.00019 tnm: 0.33 Lm: 6.703 (6.703) Lt: 5.971 (5.971) Accm: 2.81 (2.81) Acct: 4.47 (4.47) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 08:38:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:08:00 tlr: 0.00019 tnm: 0.33 Lm: 6.796 (6.796) Lt: 6.073 (6.073) Accm: 2.67 (2.67) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 08:38:48] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 417/1669] eta: 0:08:00 tlr: 0.00019 tnm: 0.33 Lm: 6.729 (6.729) Lt: 5.997 (5.997) Accm: 2.74 (2.74) Acct: 4.16 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3848 data: 0.0002
[11-27 08:41:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.35 Lm: 6.705 (6.698) Lt: 5.959 (5.984) Accm: 2.94 (2.85) Acct: 4.39 (4.43) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0002
[11-27 08:41:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.35 Lm: 6.681 (6.712) Lt: 5.878 (5.935) Accm: 2.94 (2.97) Acct: 4.51 (4.77) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0002
[11-27 08:41:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.35 Lm: 6.692 (6.683) Lt: 5.967 (5.944) Accm: 2.83 (2.89) Acct: 4.55 (4.63) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0002
[11-27 08:41:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [ 834/1669] eta: 0:05:20 tlr: 0.00019 tnm: 0.35 Lm: 6.780 (6.791) Lt: 6.060 (6.055) Accm: 2.80 (2.72) Acct: 4.41 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0002
[11-27 08:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.33 Lm: 6.795 (6.795) Lt: 6.073 (6.074) Accm: 2.67 (2.64) Acct: 4.12 (4.09) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 08:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.33 Lm: 6.672 (6.700) Lt: 5.900 (5.932) Accm: 2.90 (2.94) Acct: 4.51 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 08:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.33 Lm: 6.700 (6.690) Lt: 5.971 (5.954) Accm: 2.84 (2.88) Acct: 4.47 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 08:44:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.33 Lm: 6.729 (6.736) Lt: 6.002 (6.016) Accm: 2.80 (2.80) Acct: 4.37 (4.41) proj_loss: 0.0000 (0.0000) time: 0.3850 data: 0.0002
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.705 (6.717) Lt: 5.959 (6.001) Accm: 2.89 (2.82) Acct: 4.39 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3860 data: 0.0017
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:43 (0.385 s / it)
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.681 (6.707) Lt: 5.922 (5.940) Accm: 2.87 (2.90) Acct: 4.51 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3860 data: 0.0015
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.692 (6.687) Lt: 5.967 (5.942) Accm: 2.83 (2.87) Acct: 4.55 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3860 data: 0.0018
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 92/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.35 Lm: 6.809 (6.805) Lt: 6.087 (6.086) Accm: 2.54 (2.60) Acct: 3.91 (4.06) proj_loss: 0.0000 (0.0000) time: 0.3860 data: 0.0018
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:43 (0.385 s / it)
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:43 (0.385 s / it)
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 92/350] Total time: 0:10:43 (0.385 s / it)
[11-27 08:46:50] (/home/user/VAR/train.py , line 279)=> [ep92] (training ) Lm: 6.689 (6.707), Lt: 5.957 (5.971), Acc m&t: 2.89 4.56, Remain: 1 day, 22:08:16, Finish: 2024-11-28 14:55
[11-27 08:46:50] (/home/user/VAR/train.py , line 279)=> [ep92] (training ) Lm: 6.689 (6.707), Lt: 5.957 (5.971), Acc m&t: 2.89 4.56, Remain: 1 day, 22:08:51, Finish: 2024-11-28 14:55
[11-27 08:46:50] (/home/user/VAR/train.py , line 279)=> [ep92] (training ) Lm: 6.689 (6.707), Lt: 5.957 (5.971), Acc m&t: 2.89 4.56, Remain: 1 day, 22:08:22, Finish: 2024-11-28 14:55
[11-27 08:46:50] (/home/user/VAR/train.py , line 279)=> [ep92] (training ) Lm: 6.689 (6.707), Lt: 5.957 (5.971), Acc m&t: 2.89 4.56, Remain: 1 day, 22:09:28, Finish: 2024-11-28 14:56
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:10:20 tlr: 0.00019 tnm: 0.34 Lm: 6.721 (6.721) Lt: 6.038 (6.038) Accm: 2.91 (2.91) Acct: 4.29 (4.29) proj_loss: 0.0000 (0.0000) time: 0.3716 data: 0.0003
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:10:20 tlr: 0.00019 tnm: 0.34 Lm: 6.690 (6.690) Lt: 5.977 (5.977) Accm: 3.01 (3.01) Acct: 4.70 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3718 data: 0.0004
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:10:20 tlr: 0.00019 tnm: 0.34 Lm: 6.897 (6.897) Lt: 6.211 (6.211) Accm: 2.24 (2.24) Acct: 3.72 (3.72) proj_loss: 0.0000 (0.0000) time: 0.3719 data: 0.0004
[11-27 08:46:50] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 0/1669] eta: 0:10:20 tlr: 0.00019 tnm: 0.34 Lm: 6.524 (6.524) Lt: 5.797 (5.797) Accm: 3.42 (3.42) Acct: 5.10 (5.10) proj_loss: 0.0000 (0.0000) time: 0.3720 data: 0.0004
[11-27 08:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:08:43 tlr: 0.00019 tnm: 0.33 Lm: 6.616 (6.616) Lt: 5.878 (5.878) Accm: 3.13 (3.13) Acct: 4.76 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 08:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:08:43 tlr: 0.00019 tnm: 0.33 Lm: 6.729 (6.729) Lt: 6.014 (6.014) Accm: 2.91 (2.91) Acct: 4.40 (4.40) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 08:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:08:43 tlr: 0.00019 tnm: 0.33 Lm: 6.686 (6.686) Lt: 5.965 (5.965) Accm: 2.98 (2.98) Acct: 4.77 (4.77) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 08:49:45] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 417/1669] eta: 0:08:43 tlr: 0.00019 tnm: 0.33 Lm: 6.830 (6.830) Lt: 6.121 (6.121) Accm: 2.54 (2.54) Acct: 4.02 (4.02) proj_loss: 0.0000 (0.0000) time: 0.3838 data: 0.0003
[11-27 08:52:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:34 tlr: 0.00019 tnm: 0.37 Lm: 6.821 (6.827) Lt: 6.080 (6.107) Accm: 2.56 (2.55) Acct: 3.87 (3.97) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 08:52:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:34 tlr: 0.00019 tnm: 0.37 Lm: 6.721 (6.723) Lt: 5.990 (6.002) Accm: 2.91 (2.89) Acct: 4.48 (4.42) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 08:52:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:34 tlr: 0.00019 tnm: 0.37 Lm: 6.552 (6.594) Lt: 5.825 (5.860) Accm: 3.39 (3.22) Acct: 5.10 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 08:52:25] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [ 834/1669] eta: 0:05:34 tlr: 0.00019 tnm: 0.37 Lm: 6.681 (6.681) Lt: 5.952 (5.943) Accm: 2.95 (2.94) Acct: 4.70 (4.65) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 08:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:45 tlr: 0.00019 tnm: 0.32 Lm: 6.676 (6.666) Lt: 5.927 (5.921) Accm: 2.98 (2.98) Acct: 4.73 (4.68) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0002
[11-27 08:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:45 tlr: 0.00019 tnm: 0.32 Lm: 6.792 (6.803) Lt: 6.055 (6.081) Accm: 2.68 (2.61) Acct: 4.10 (4.16) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0002
[11-27 08:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:45 tlr: 0.00019 tnm: 0.32 Lm: 6.629 (6.622) Lt: 5.885 (5.881) Accm: 3.14 (3.13) Acct: 4.93 (4.89) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0002
[11-27 08:55:05] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1251/1669] eta: 0:02:45 tlr: 0.00019 tnm: 0.32 Lm: 6.717 (6.702) Lt: 5.984 (5.969) Accm: 2.91 (2.92) Acct: 4.49 (4.52) proj_loss: 0.0000 (0.0000) time: 0.3834 data: 0.0002
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.721 (6.711) Lt: 5.979 (5.970) Accm: 2.92 (2.93) Acct: 4.51 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3885 data: 0.0021
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:55 (0.393 s / it)
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.672 (6.652) Lt: 5.901 (5.901) Accm: 3.01 (3.04) Acct: 4.75 (4.80) proj_loss: 0.0000 (0.0000) time: 0.3885 data: 0.0022
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.552 (6.603) Lt: 5.825 (5.869) Accm: 2.99 (3.11) Acct: 4.94 (4.90) proj_loss: 0.0000 (0.0000) time: 0.3885 data: 0.0015
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 93/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.762 (6.787) Lt: 6.030 (6.061) Accm: 2.71 (2.63) Acct: 4.27 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3885 data: 0.0021
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:55 (0.393 s / it)
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:55 (0.393 s / it)
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 93/350] Total time: 0:10:55 (0.393 s / it)
[11-27 08:57:46] (/home/user/VAR/train.py , line 279)=> [ep93] (training ) Lm: 6.689 (6.701), Lt: 5.957 (5.966), Acc m&t: 2.89 4.56, Remain: 1 day, 22:06:37, Finish: 2024-11-28 15:04
[11-27 08:57:46] (/home/user/VAR/train.py , line 279)=> [ep93] (training ) Lm: 6.689 (6.701), Lt: 5.957 (5.966), Acc m&t: 2.89 4.56, Remain: 1 day, 22:06:09, Finish: 2024-11-28 15:03
[11-27 08:57:46] (/home/user/VAR/train.py , line 279)=> [ep93] (training ) Lm: 6.689 (6.701), Lt: 5.957 (5.966), Acc m&t: 2.89 4.56, Remain: 1 day, 22:06:02, Finish: 2024-11-28 15:03
[11-27 08:57:46] (/home/user/VAR/train.py , line 279)=> [ep93] (training ) Lm: 6.689 (6.701), Lt: 5.957 (5.966), Acc m&t: 2.89 4.56, Remain: 1 day, 22:04:41, Finish: 2024-11-28 15:02
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:10:29 tlr: 0.00019 tnm: 0.34 Lm: 6.637 (6.637) Lt: 5.859 (5.859) Accm: 2.92 (2.92) Acct: 4.61 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3770 data: 0.0004
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:10:29 tlr: 0.00019 tnm: 0.34 Lm: 6.764 (6.764) Lt: 6.006 (6.006) Accm: 2.81 (2.81) Acct: 4.51 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3771 data: 0.0003
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:10:29 tlr: 0.00019 tnm: 0.34 Lm: 6.759 (6.759) Lt: 6.051 (6.051) Accm: 2.55 (2.55) Acct: 3.98 (3.98) proj_loss: 0.0000 (0.0000) time: 0.3771 data: 0.0004
[11-27 08:57:46] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 0/1669] eta: 0:10:30 tlr: 0.00019 tnm: 0.34 Lm: 6.906 (6.906) Lt: 6.194 (6.194) Accm: 2.36 (2.36) Acct: 3.65 (3.65) proj_loss: 0.0000 (0.0000) time: 0.3775 data: 0.0003
[11-27 09:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.35 Lm: 6.738 (6.738) Lt: 6.023 (6.023) Accm: 2.67 (2.67) Acct: 4.21 (4.21) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0003
[11-27 09:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.35 Lm: 6.735 (6.735) Lt: 5.998 (5.998) Accm: 2.75 (2.75) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 09:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.35 Lm: 6.771 (6.771) Lt: 6.080 (6.080) Accm: 2.58 (2.58) Acct: 3.92 (3.92) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 09:00:26] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.35 Lm: 6.740 (6.740) Lt: 5.987 (5.987) Accm: 2.73 (2.73) Acct: 4.39 (4.39) proj_loss: 0.0000 (0.0000) time: 0.3849 data: 0.0002
[11-27 09:03:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:21 tlr: 0.00019 tnm: 0.36 Lm: 6.764 (6.761) Lt: 6.006 (6.023) Accm: 2.65 (2.66) Acct: 4.27 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3855 data: 0.0002
[11-27 09:03:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:21 tlr: 0.00019 tnm: 0.36 Lm: 6.783 (6.793) Lt: 6.108 (6.093) Accm: 2.55 (2.51) Acct: 3.86 (3.83) proj_loss: 0.0000 (0.0000) time: 0.3855 data: 0.0002
[11-27 09:03:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:21 tlr: 0.00019 tnm: 0.36 Lm: 6.637 (6.702) Lt: 5.914 (5.970) Accm: 2.91 (2.80) Acct: 4.61 (4.44) proj_loss: 0.0000 (0.0000) time: 0.3855 data: 0.0003
[11-27 09:03:07] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [ 834/1669] eta: 0:05:21 tlr: 0.00019 tnm: 0.36 Lm: 6.734 (6.737) Lt: 5.985 (6.010) Accm: 2.69 (2.67) Acct: 4.17 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3855 data: 0.0002
[11-27 09:05:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.682 (6.710) Lt: 5.934 (5.978) Accm: 2.83 (2.76) Acct: 4.47 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0003
[11-27 09:05:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.740 (6.731) Lt: 5.987 (5.999) Accm: 2.73 (2.71) Acct: 4.27 (4.20) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0002
[11-27 09:05:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.771 (6.722) Lt: 6.080 (6.005) Accm: 2.58 (2.78) Acct: 3.92 (4.31) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0002
[11-27 09:05:47] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.673 (6.704) Lt: 5.913 (5.956) Accm: 2.92 (2.86) Acct: 4.73 (4.63) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0002
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.708 (6.719) Lt: 5.914 (5.992) Accm: 2.91 (2.82) Acct: 4.61 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3869 data: 0.0015
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:42 (0.385 s / it)
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.716 (6.718) Lt: 5.968 (5.989) Accm: 2.81 (2.77) Acct: 4.27 (4.35) proj_loss: 0.0000 (0.0000) time: 0.3869 data: 0.0015
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.759 (6.723) Lt: 6.051 (6.006) Accm: 2.60 (2.82) Acct: 3.98 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3869 data: 0.0017
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 94/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.631 (6.690) Lt: 5.882 (5.958) Accm: 2.97 (2.85) Acct: 4.77 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3869 data: 0.0015
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:42 (0.385 s / it)
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:42 (0.385 s / it)
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 94/350] Total time: 0:10:42 (0.385 s / it)
[11-27 09:08:28] (/home/user/VAR/train.py , line 279)=> [ep94] (training ) Lm: 6.689 (6.692), Lt: 5.957 (5.957), Acc m&t: 2.91 4.60, Remain: 1 day, 21:56:13, Finish: 2024-11-28 15:04
[11-27 09:08:28] (/home/user/VAR/train.py , line 279)=> [ep94] (training ) Lm: 6.689 (6.692), Lt: 5.957 (5.957), Acc m&t: 2.91 4.60, Remain: 1 day, 21:55:22, Finish: 2024-11-28 15:03
[11-27 09:08:28] (/home/user/VAR/train.py , line 279)=> [ep94] (training ) Lm: 6.689 (6.692), Lt: 5.957 (5.957), Acc m&t: 2.91 4.60, Remain: 1 day, 21:54:55, Finish: 2024-11-28 15:03
[11-27 09:08:28] (/home/user/VAR/train.py , line 279)=> [ep94] (training ) Lm: 6.689 (6.692), Lt: 5.957 (5.957), Acc m&t: 2.91 4.60, Remain: 1 day, 21:53:57, Finish: 2024-11-28 15:02
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:10:38 tlr: 0.00019 tnm: 0.34 Lm: 6.730 (6.730) Lt: 5.985 (5.985) Accm: 2.67 (2.67) Acct: 4.30 (4.30) proj_loss: 0.0000 (0.0000) time: 0.3824 data: 0.0004
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:10:38 tlr: 0.00019 tnm: 0.34 Lm: 6.635 (6.635) Lt: 5.880 (5.880) Accm: 3.19 (3.19) Acct: 5.17 (5.17) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0004
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:10:38 tlr: 0.00019 tnm: 0.34 Lm: 6.698 (6.698) Lt: 6.005 (6.005) Accm: 2.76 (2.76) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3827 data: 0.0004
[11-27 09:08:28] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 0/1669] eta: 0:10:39 tlr: 0.00019 tnm: 0.34 Lm: 6.752 (6.752) Lt: 6.063 (6.063) Accm: 2.74 (2.74) Acct: 4.18 (4.18) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0003
[11-27 09:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.34 Lm: 6.808 (6.808) Lt: 6.095 (6.095) Accm: 2.66 (2.66) Acct: 4.07 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 09:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.34 Lm: 6.662 (6.662) Lt: 5.939 (5.939) Accm: 2.92 (2.92) Acct: 4.56 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 09:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.34 Lm: 6.619 (6.619) Lt: 5.880 (5.880) Accm: 3.04 (3.04) Acct: 4.80 (4.80) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 09:11:08] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.34 Lm: 6.700 (6.700) Lt: 5.986 (5.986) Accm: 2.80 (2.80) Acct: 4.26 (4.26) proj_loss: 0.0000 (0.0000) time: 0.3847 data: 0.0002
[11-27 09:13:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:21 tlr: 0.00019 tnm: 0.31 Lm: 6.703 (6.726) Lt: 6.005 (6.022) Accm: 2.76 (2.74) Acct: 4.18 (4.07) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0002
[11-27 09:13:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:21 tlr: 0.00019 tnm: 0.31 Lm: 6.635 (6.650) Lt: 5.880 (5.920) Accm: 2.94 (3.01) Acct: 4.67 (4.76) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0002
[11-27 09:13:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:21 tlr: 0.00019 tnm: 0.31 Lm: 6.594 (6.618) Lt: 5.894 (5.886) Accm: 3.18 (3.02) Acct: 4.82 (4.74) proj_loss: 0.0000 (0.0000) time: 0.3840 data: 0.0002
[11-27 09:13:49] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [ 834/1669] eta: 0:05:21 tlr: 0.00019 tnm: 0.31 Lm: 6.762 (6.793) Lt: 6.084 (6.091) Accm: 2.74 (2.77) Acct: 4.18 (4.25) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0002
[11-27 09:16:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.673 (6.697) Lt: 5.940 (5.965) Accm: 2.91 (2.93) Acct: 4.55 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 09:16:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.701 (6.719) Lt: 5.989 (6.010) Accm: 2.80 (2.76) Acct: 4.26 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 09:16:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.562 (6.584) Lt: 5.837 (5.838) Accm: 3.20 (3.08) Acct: 4.94 (4.82) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 09:16:29] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1251/1669] eta: 0:02:40 tlr: 0.00019 tnm: 0.32 Lm: 6.757 (6.746) Lt: 6.073 (6.035) Accm: 2.87 (2.89) Acct: 4.39 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 09:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.752 (6.709) Lt: 6.063 (5.983) Accm: 2.99 (3.01) Acct: 4.60 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3867 data: 0.0019
[11-27 09:19:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:43 (0.386 s / it)
[11-27 09:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.594 (6.634) Lt: 5.894 (5.896) Accm: 3.18 (2.98) Acct: 4.82 (4.62) proj_loss: 0.0000 (0.0000) time: 0.3867 data: 0.0015
[11-27 09:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.658 (6.689) Lt: 5.945 (5.961) Accm: 2.90 (2.92) Acct: 4.44 (4.61) proj_loss: 0.0000 (0.0000) time: 0.3867 data: 0.0018
[11-27 09:19:11] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 95/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.37 Lm: 6.698 (6.709) Lt: 5.973 (5.981) Accm: 2.83 (2.79) Acct: 4.34 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3867 data: 0.0019
[11-27 09:19:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:43 (0.386 s / it)
[11-27 09:19:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:43 (0.386 s / it)
[11-27 09:19:11] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 95/350] Total time: 0:10:43 (0.386 s / it)
[11-27 09:19:11] (/home/user/VAR/train.py , line 279)=> [ep95] (training ) Lm: 6.689 (6.709), Lt: 5.957 (5.980), Acc m&t: 2.91 4.60, Remain: 1 day, 21:36:59, Finish: 2024-11-28 14:56
[11-27 09:19:11] (/home/user/VAR/train.py , line 279)=> [ep95] (training ) Lm: 6.689 (6.709), Lt: 5.957 (5.980), Acc m&t: 2.91 4.60, Remain: 1 day, 21:36:33, Finish: 2024-11-28 14:55
[11-27 09:19:11] (/home/user/VAR/train.py , line 279)=> [ep95] (training ) Lm: 6.689 (6.709), Lt: 5.957 (5.980), Acc m&t: 2.91 4.60, Remain: 1 day, 21:38:01, Finish: 2024-11-28 14:57
[11-27 09:19:11] (/home/user/VAR/train.py , line 279)=> [ep95] (training ) Lm: 6.689 (6.709), Lt: 5.957 (5.980), Acc m&t: 2.91 4.60, Remain: 1 day, 21:37:00, Finish: 2024-11-28 14:56
[11-27 09:19:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:10:37 tlr: 0.00019 tnm: 0.33 Lm: 6.638 (6.638) Lt: 5.819 (5.819) Accm: 3.13 (3.13) Acct: 5.20 (5.20) proj_loss: 0.0000 (0.0000) time: 0.3818 data: 0.0003
[11-27 09:19:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:10:39 tlr: 0.00019 tnm: 0.33 Lm: 6.746 (6.746) Lt: 6.059 (6.059) Accm: 2.80 (2.80) Acct: 4.37 (4.37) proj_loss: 0.0000 (0.0000) time: 0.3831 data: 0.0003
[11-27 09:19:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:10:39 tlr: 0.00019 tnm: 0.33 Lm: 6.737 (6.737) Lt: 6.042 (6.042) Accm: 2.85 (2.85) Acct: 4.56 (4.56) proj_loss: 0.0000 (0.0000) time: 0.3833 data: 0.0004
[11-27 09:19:12] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 0/1669] eta: 0:10:37 tlr: 0.00019 tnm: 0.33 Lm: 6.816 (6.816) Lt: 6.093 (6.093) Accm: 2.75 (2.75) Acct: 4.27 (4.27) proj_loss: 0.0000 (0.0000) time: 0.3820 data: 0.0004
[11-27 09:22:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:09:07 tlr: 0.00019 tnm: 0.35 Lm: 6.741 (6.741) Lt: 6.022 (6.022) Accm: 2.82 (2.82) Acct: 4.36 (4.36) proj_loss: 0.0000 (0.0000) time: 0.3852 data: 0.0002
[11-27 09:22:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:09:07 tlr: 0.00019 tnm: 0.35 Lm: 6.656 (6.656) Lt: 5.890 (5.890) Accm: 3.15 (3.15) Acct: 5.06 (5.06) proj_loss: 0.0000 (0.0000) time: 0.3851 data: 0.0002
[11-27 09:22:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:09:07 tlr: 0.00019 tnm: 0.35 Lm: 6.703 (6.703) Lt: 6.011 (6.011) Accm: 2.97 (2.97) Acct: 4.55 (4.55) proj_loss: 0.0000 (0.0000) time: 0.3852 data: 0.0003
[11-27 09:22:14] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 417/1669] eta: 0:09:07 tlr: 0.00019 tnm: 0.35 Lm: 6.720 (6.720) Lt: 5.999 (5.999) Accm: 2.76 (2.76) Acct: 4.51 (4.51) proj_loss: 0.0000 (0.0000) time: 0.3852 data: 0.0002
[11-27 09:24:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:43 tlr: 0.00019 tnm: 0.35 Lm: 6.737 (6.747) Lt: 6.042 (6.028) Accm: 2.67 (2.64) Acct: 4.46 (4.22) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0003
[11-27 09:24:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:43 tlr: 0.00019 tnm: 0.35 Lm: 6.661 (6.681) Lt: 5.964 (5.975) Accm: 3.12 (3.02) Acct: 4.73 (4.71) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 09:24:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:43 tlr: 0.00019 tnm: 0.35 Lm: 6.673 (6.693) Lt: 5.962 (5.932) Accm: 3.13 (3.01) Acct: 4.92 (4.82) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 09:24:55] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [ 834/1669] eta: 0:05:43 tlr: 0.00019 tnm: 0.35 Lm: 6.816 (6.774) Lt: 6.071 (6.039) Accm: 2.75 (2.73) Acct: 4.27 (4.28) proj_loss: 0.0000 (0.0000) time: 0.3837 data: 0.0002
[11-27 09:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:48 tlr: 0.00019 tnm: 0.33 Lm: 6.814 (6.784) Lt: 6.056 (6.039) Accm: 2.73 (2.73) Acct: 4.36 (4.34) proj_loss: 0.0000 (0.0000) time: 0.3854 data: 0.0002
[11-27 09:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:48 tlr: 0.00019 tnm: 0.33 Lm: 6.697 (6.700) Lt: 5.982 (5.949) Accm: 2.93 (2.93) Acct: 4.63 (4.66) proj_loss: 0.0000 (0.0000) time: 0.3854 data: 0.0002
[11-27 09:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:48 tlr: 0.00019 tnm: 0.33 Lm: 6.720 (6.700) Lt: 5.999 (5.972) Accm: 2.76 (2.81) Acct: 4.51 (4.46) proj_loss: 0.0000 (0.0000) time: 0.3854 data: 0.0002
[11-27 09:27:35] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1251/1669] eta: 0:02:48 tlr: 0.00019 tnm: 0.33 Lm: 6.661 (6.676) Lt: 5.949 (5.965) Accm: 3.00 (2.98) Acct: 4.72 (4.70) proj_loss: 0.0000 (0.0000) time: 0.3854 data: 0.0002
[11-27 09:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.673 (6.694) Lt: 5.962 (5.943) Accm: 3.02 (2.95) Acct: 4.79 (4.69) proj_loss: 0.0000 (0.0000) time: 0.3857 data: 0.0020
[11-27 09:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.812 (6.764) Lt: 6.041 (6.015) Accm: 2.75 (2.78) Acct: 4.44 (4.45) proj_loss: 0.0000 (0.0000) time: 0.3857 data: 0.0015
[11-27 09:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.704 (6.682) Lt: 5.956 (5.948) Accm: 2.85 (2.88) Acct: 4.56 (4.58) proj_loss: 0.0000 (0.0000) time: 0.3857 data: 0.0020
[11-27 09:30:15] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 96/350] [1668/1669] eta: 0:00:00 tlr: 0.00019 tnm: 0.34 Lm: 6.661 (6.648) Lt: 5.935 (5.933) Accm: 3.12 (3.05) Acct: 4.73 (4.81) proj_loss: 0.0000 (0.0000) time: 0.3857 data: 0.0016
[11-27 09:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:11:03 (0.398 s / it)
[11-27 09:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:11:03 (0.398 s / it)
[11-27 09:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:11:03 (0.398 s / it)
[11-27 09:30:15] (e/user/VAR/utils/misc.py, line 336)=> [Ep]: [ 96/350] Total time: 0:11:03 (0.398 s / it)
[11-27 09:30:15] (/home/user/VAR/train.py , line 279)=> [ep96] (training ) Lm: 6.689 (6.705), Lt: 5.957 (5.971), Acc m&t: 2.91 4.60, Remain: 1 day, 21:26:10, Finish: 2024-11-28 14:56
[11-27 09:30:15] (/home/user/VAR/train.py , line 279)=> [ep96] (training ) Lm: 6.689 (6.705), Lt: 5.957 (5.971), Acc m&t: 2.91 4.60, Remain: 1 day, 21:25:00, Finish: 2024-11-28 14:55
[11-27 09:30:15] (/home/user/VAR/train.py , line 279)=> [ep96] (training ) Lm: 6.689 (6.705), Lt: 5.957 (5.971), Acc m&t: 2.91 4.60, Remain: 1 day, 21:26:29, Finish: 2024-11-28 14:56
[11-27 09:30:15] (/home/user/VAR/train.py , line 279)=> [ep96] (training ) Lm: 6.689 (6.705), Lt: 5.957 (5.971), Acc m&t: 2.91 4.60, Remain: 1 day, 21:26:11, Finish: 2024-11-28 14:56
[11-27 09:30:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:10:41 tlr: 0.00019 tnm: 0.33 Lm: 6.774 (6.774) Lt: 6.052 (6.052) Accm: 2.54 (2.54) Acct: 4.05 (4.05) proj_loss: 0.0000 (0.0000) time: 0.3841 data: 0.0004
[11-27 09:30:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:10:27 tlr: 0.00019 tnm: 0.33 Lm: 6.746 (6.746) Lt: 6.029 (6.029) Accm: 2.64 (2.64) Acct: 4.24 (4.24) proj_loss: 0.0000 (0.0000) time: 0.3762 data: 0.0003
[11-27 09:30:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:10:27 tlr: 0.00019 tnm: 0.33 Lm: 6.726 (6.726) Lt: 5.957 (5.957) Accm: 2.95 (2.95) Acct: 4.86 (4.86) proj_loss: 0.0000 (0.0000) time: 0.3761 data: 0.0003
[11-27 09:30:16] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 0/1669] eta: 0:10:28 tlr: 0.00019 tnm: 0.33 Lm: 6.642 (6.642) Lt: 5.849 (5.849) Accm: 3.11 (3.11) Acct: 4.92 (4.92) proj_loss: 0.0000 (0.0000) time: 0.3766 data: 0.0004
[11-27 09:32:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.32 Lm: 6.680 (6.680) Lt: 5.918 (5.918) Accm: 3.16 (3.16) Acct: 5.10 (5.10) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002
[11-27 09:32:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.32 Lm: 6.661 (6.661) Lt: 5.888 (5.888) Accm: 2.90 (2.90) Acct: 4.74 (4.74) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002
[11-27 09:32:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.32 Lm: 6.656 (6.656) Lt: 5.894 (5.894) Accm: 2.98 (2.98) Acct: 4.95 (4.95) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002
[11-27 09:32:56] (e/user/VAR/utils/misc.py, line 314)=> [Ep]: [ 97/350] [ 417/1669] eta: 0:08:01 tlr: 0.00019 tnm: 0.32 Lm: 6.791 (6.791) Lt: 6.081 (6.081) Accm: 2.50 (2.50) Acct: 3.87 (3.87) proj_loss: 0.0000 (0.0000) time: 0.3846 data: 0.0002